Home Energy Monitoring System Using Internet of Things
•
0 likes•79 views
This paper presents home energy varying time to time and date vise in graphical representation when ever required through internet. The proposed system evolves the home energy to the next level we can see the data using internet. We should login to access the data by this our data is safe and not hack able. We can see the data on the daily basis check for alteration in the current voltage, temperature, light values for respective loads connected to the system.
Report
Share
Report
Share
Download to read offline
![9 International Journal for Modern Trends in Science and Technology
Home Energy Monitoring System Using Internet of ThingsIJMTST
storage sever and can be accessible to required
persons by username and password.
Block diagram:
Fig: Block Diagram
III. RESULTS AND DISCUSSION
Our result consists of four different parameters.
They are
A. Voltage values:
The above graph represents the voltage values at
different hours in the same day.
B. Current values:
The above graph represents the current values at
different hours in the same day.
C. Temperature values:
The above graph represents the temperature
values at different hours in the same day.
D. Light dependent resister values:
The below graph represents the Light Dependent
Resistor values at different hours in the same day.
REFERENCES
[1] www.atmel.com/ATmega48A/PA/88A/PA/168A/PA
/328/P [DATASHEET]
[2] www.youtube.com/IEEE 2014 EMBEDDED COST
EFFECTIVE AND REAL TIME SCADA HOME
ENERGY MONITORING SYSTEM.
[3] www.Internet Of Things.com
[4] www.allegromicro.com/ACS712
[5] http://fabacademy.org/archives/2015/doc/networ
kingesp8266.html
[6] www.national.com/LM35 Precision Centigrade
Temperature Sensors
[7] www.arduino.com](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
Recommended
Resume
Rushab Bhimani is seeking an internship in analog IC design for summer 2020. He has a Bachelor's degree in Electrical Engineering from Jadavpur University in India and is currently pursuing a Master's degree in Electrical Engineering at Texas A&M University. He has relevant coursework in areas like VLSI circuit design, digital IC design, and microprocessors. He has technical skills in tools like Cadence Virtuoso, MATLAB, C/C++, Python, Verilog, and Java. He has work experience as an Electrical Maintenance Engineer at Reliance Industries and has completed projects involving automatic streetlight control, traffic light control, and condition monitoring of insulators.
IRJET- Smart Home Automation using IoT and Deep Learning
This document summarizes a research paper that proposes a smart home system using IoT and deep learning to recognize human activities through smartphone sensor data and then automate tasks based on the recognized activity. The system uses an LSTM neural network trained on accelerometer data to classify human activities like walking, running, and jogging. When an activity is recognized, the system triggers predetermined tasks through a Raspberry Pi in the smart home for automation. The paper reviews other research on activity recognition using deep learning and discusses challenges in developing accurate smart home systems to help older adults live independently through automated task assistance based on recognized daily living activities.
Internet of things (iot) based weather
This document proposes an Internet of Things (IoT) based weather monitoring system. The system uses sensors to monitor environmental conditions like temperature, humidity, light intensity, and CO levels at a particular place. The sensor data is sent to a web page where it is plotted as graphical statistics. The data from the implemented system can then be accessed from anywhere in the world over the internet. The system provides an advanced and efficient IoT solution to connect sensors and devices to monitor weather conditions remotely.
Dissertation report 2_3
This document summarizes a dissertation report on designing and implementing a SCADA system using wireless sensors to control fire effects in a refinery. The report acknowledges those who helped with the project and states the research aims to understand how to design interactive systems that are useful and save lives. It then discusses requirements for the hardware and software, technical issues considered, and designing the network topology.
Survey on use of datamining
This document summarizes a survey on the use of data mining in the electrical field. It discusses how data mining can be used for electricity usage analysis, consumption monitoring, and wastage reduction. The document then outlines several past studies that applied various data mining algorithms like k-means, regression trees, and neural networks to electricity consumption data. It proposes a new idea to control unconsumed electricity using sensors and a fuzzy logic algorithm to adjust light intensity based on parameters like light color, sunlight, and temperature in order to reduce electricity bills.
MaddieDrake_ ResearchPoster
This document discusses modeling residential energy use from smart meter data. It analyzes the electricity demand from homes in the Dallas/Fort Worth area and how demand varies between seasons. The author obtained smart meter data from Pecan Street Inc. to model homes using eQuest software. However, the results from eQuest did not closely match the actual smart meter data. While eQuest predicted reductions from changing home factors, its accuracy is questionable. This highlights the importance of using accurate simulation software to make reliable energy consumption predictions.
Shishupal cover page shishupal 12 copy
This project report was submitted by Shishupal Kumar to Dr. Manikant Kumar, the head of the Department of Electrical and Electronics Engineering, in partial fulfillment of the requirements for a Bachelor of Technology degree in Electrical and Electronics Engineering. The report describes a project on creating a digital home automation system using Arduino and Bluetooth that allows remote control of devices in the home. It was completed under the supervision of Er. Mubashshir H. Ansari in May 2018 at the Institute of Engineering and Technology in Sitapur, India.
Monitoring and Controlling Device for Smart Greenhouse by using Thinger.io Io...
This document describes a smart greenhouse monitoring and control system that uses sensors to measure environmental factors like temperature, humidity, and light intensity. It then sends this sensor data to a cloud server called Thinger.io using an ESP8266 (NodeMCU) microcontroller connected to WiFi. The system can automatically control devices like pumps, fans and lights based on the sensor readings to maintain optimal growing conditions. It also allows remote manual control of devices from a smartphone or computer. The system was simulated using Proteus simulation software and experimental results showed it could accurately control devices to satisfy thresholds for humidity, temperature and light levels.
Recommended
Resume
Rushab Bhimani is seeking an internship in analog IC design for summer 2020. He has a Bachelor's degree in Electrical Engineering from Jadavpur University in India and is currently pursuing a Master's degree in Electrical Engineering at Texas A&M University. He has relevant coursework in areas like VLSI circuit design, digital IC design, and microprocessors. He has technical skills in tools like Cadence Virtuoso, MATLAB, C/C++, Python, Verilog, and Java. He has work experience as an Electrical Maintenance Engineer at Reliance Industries and has completed projects involving automatic streetlight control, traffic light control, and condition monitoring of insulators.
IRJET- Smart Home Automation using IoT and Deep Learning
This document summarizes a research paper that proposes a smart home system using IoT and deep learning to recognize human activities through smartphone sensor data and then automate tasks based on the recognized activity. The system uses an LSTM neural network trained on accelerometer data to classify human activities like walking, running, and jogging. When an activity is recognized, the system triggers predetermined tasks through a Raspberry Pi in the smart home for automation. The paper reviews other research on activity recognition using deep learning and discusses challenges in developing accurate smart home systems to help older adults live independently through automated task assistance based on recognized daily living activities.
Internet of things (iot) based weather
This document proposes an Internet of Things (IoT) based weather monitoring system. The system uses sensors to monitor environmental conditions like temperature, humidity, light intensity, and CO levels at a particular place. The sensor data is sent to a web page where it is plotted as graphical statistics. The data from the implemented system can then be accessed from anywhere in the world over the internet. The system provides an advanced and efficient IoT solution to connect sensors and devices to monitor weather conditions remotely.
Dissertation report 2_3
This document summarizes a dissertation report on designing and implementing a SCADA system using wireless sensors to control fire effects in a refinery. The report acknowledges those who helped with the project and states the research aims to understand how to design interactive systems that are useful and save lives. It then discusses requirements for the hardware and software, technical issues considered, and designing the network topology.
Survey on use of datamining
This document summarizes a survey on the use of data mining in the electrical field. It discusses how data mining can be used for electricity usage analysis, consumption monitoring, and wastage reduction. The document then outlines several past studies that applied various data mining algorithms like k-means, regression trees, and neural networks to electricity consumption data. It proposes a new idea to control unconsumed electricity using sensors and a fuzzy logic algorithm to adjust light intensity based on parameters like light color, sunlight, and temperature in order to reduce electricity bills.
MaddieDrake_ ResearchPoster
This document discusses modeling residential energy use from smart meter data. It analyzes the electricity demand from homes in the Dallas/Fort Worth area and how demand varies between seasons. The author obtained smart meter data from Pecan Street Inc. to model homes using eQuest software. However, the results from eQuest did not closely match the actual smart meter data. While eQuest predicted reductions from changing home factors, its accuracy is questionable. This highlights the importance of using accurate simulation software to make reliable energy consumption predictions.
Shishupal cover page shishupal 12 copy
This project report was submitted by Shishupal Kumar to Dr. Manikant Kumar, the head of the Department of Electrical and Electronics Engineering, in partial fulfillment of the requirements for a Bachelor of Technology degree in Electrical and Electronics Engineering. The report describes a project on creating a digital home automation system using Arduino and Bluetooth that allows remote control of devices in the home. It was completed under the supervision of Er. Mubashshir H. Ansari in May 2018 at the Institute of Engineering and Technology in Sitapur, India.
Monitoring and Controlling Device for Smart Greenhouse by using Thinger.io Io...
This document describes a smart greenhouse monitoring and control system that uses sensors to measure environmental factors like temperature, humidity, and light intensity. It then sends this sensor data to a cloud server called Thinger.io using an ESP8266 (NodeMCU) microcontroller connected to WiFi. The system can automatically control devices like pumps, fans and lights based on the sensor readings to maintain optimal growing conditions. It also allows remote manual control of devices from a smartphone or computer. The system was simulated using Proteus simulation software and experimental results showed it could accurately control devices to satisfy thresholds for humidity, temperature and light levels.
IOT Based Data Monitoring System
This document describes an Internet of Things (IoT) based data monitoring system that uses sensors interfaced with an ARM microcontroller to monitor environmental information like temperature, light, humidity, and pressure. The microcontroller transfers the sensor data over the internet via Ethernet or WiFi to a cloud server. A graphical user interface allows for uniform monitoring of all measured parameters and provides a cost-effective and easy to maintain alternative to existing bulky and expensive monitoring systems.
Io t enabled plant soil moisture monitoring system using wireless sensor netw...
The document describes an IoT-enabled plant soil moisture monitoring system using wireless sensor networks. The system uses soil moisture sensors connected to a microcontroller and Zigbee modules to transmit sensor readings wirelessly. The data is sent to a Raspberry Pi gateway and then uploaded to the cloud. An exponential weighted moving average algorithm is used to generate threshold values for event detection and enhance the wireless sensor network's lifetime. The system allows for real-time remote monitoring of soil moisture levels to enable precision agriculture.
Lab Monitoring and Device Control Using Atmega 328 Based wireless Network Sensor
Abstract: The main objective of this project is to design an embedded based control warning system. In this project Wireless Sensor Nodes(WSN)technology is used with the help of microcontroller The Zigbee module is used to transmit the data With the help of GSM technology the data is collected in the mobile phone Here we have three sections. In the Sensor section it has humidity and temperature to monitor the Lab parameters. It has Zigbee module which will transmit the data to the intermediate section. In the intermediate section we have a Zigbee module and a GSM modem. The Zigbee module will receive the data from the Sensor section and analyses it. If the value gets abnormal it will send the message to the supervisor’s mobile.
Keywords: lab monitoring, wireless communication, sensors, Real-time monitoring, security.
Title: Lab Monitoring and Device Control Using Atmega 328 Based wireless Network Sensor
Author: Mohammed Sameer Hussain, Mirza Mohammed Abed Ullah Baig, Adnan Adil, Syed Samdani, Surrender Reddy
ISSN 2349-7815
International Journal of Recent Research in Electrical and Electronics Engineering (IJRREEE)
Paper Publications
INTERNET OF THINGS (IoT) APPLICATIONS TO MONITORING PLANT DISEASE DETECTION
The document outlines the methodology for detecting plant diseases using IoT. It discusses using sensors to collect data on plant parameters like temperature, humidity, color. This data is sent to a Raspberry Pi and then to the cloud for analysis. A deep learning model is used to classify the data and detect diseases. The process involves image acquisition, pre-processing, segmentation, feature extraction and classification. Common techniques discussed are temperature/color sensors to detect disease, drone mapping, precision farming applications. Benefits highlighted are generating business models, reducing costs and improving efficiency through data analysis.
Mayur khatri cv
Mayur Khatri is an experienced data analytics consultant seeking new opportunities. He has skills in Python, Pandas, Power BI, SQL, and predictive modeling. Previously he worked as an IoT engineer monitoring gas boilers and as an electrical engineer testing equipment and conducting condition monitoring. He has a B.E. in Electrical Engineering and diploma in electrical engineering with experience in projects involving smart energy meters and transformer fault detection.
Load Hiding of Household’s Power Demand
This document discusses techniques for hiding household power loads to protect privacy in smart meter data. It presents two techniques: Battery Load Hiding (BLH) and Load Based Load Hiding (LLH). BLH uses batteries and an inverter to obfuscate total demand but can accurately hide small appliances, while LLH controls appliances like water heaters to hide large loads but does not hide total usage. Both were tested on real household data, with BLH maintaining better accuracy for identifying appliances but being more expensive to implement than LLH. The document concludes that obfuscating data at the household level is needed for privacy and that BLH and LLH each have advantages depending on cost and desired level of privacy for small and large
Smart lighting system iso iec ieee 21451 compatible
I3E Technologies,
#23/A, 2nd Floor SKS Complex, Opp. Bus Stand, Karur-639 001.
IEEE PROJECTS AVAILABLE,
NON-IEEE PROJECTS AVAILABLE,
APPLICATION BASED PROJECTS AVAILABLE,
MINI-PROJECTS AVAILABLE.
Improvement in Home Automation
Presentation on Improvement in home automation strategies by designing apparatus for efficient smart home using renewable energy sources
Humidity Sensing Device for Soil, Atmosphere and Other Material with Temperat...
This document describes a humidity sensing device that measures temperature, humidity, and moisture simultaneously. It contains a microcontroller interfaced with sensors to measure these values and display them on an LCD screen. The device provides accurate environmental readings that are useful for various applications like construction, industry, and research. It has a simple user interface and is portable at 14x8 inches. The document discusses the device's design, components, applications, and concludes it is a useful instrument for measuring important atmospheric quantities.
C kresearch activities
Charles Kanyunga is an electronic engineering instructor who teaches courses in solid state electronics, communications engineering, mobile communications systems design, industrial control, and electronic instrumentation. He published a design for a portable weather monitoring system using a PIC16F876 microcontroller to measure temperature, wind speed, and solar radiation. His research includes automated control systems for a continuous flow biodiesel production plant using jatropha curcas seeds.
IoT Based Weather Monitoring System for Effective Analytics
International Journal of Engineering and Advanced Technology.
Volume 8, Issue 4, pp 311-315.
Source code available in github.com/ferdinjoe
Wsn based smart sensors and actuator for power management in intelligent buil...
The document describes a smart monitoring and controlling system for household electrical appliances that uses wireless sensor networks. The system monitors voltage, current, and power consumption of appliances in real time. It then implements different controlling mechanisms for appliances to provide low-cost and flexible power management. Experimental testing of a prototype produced encouraging results for saving electricity expenses.
Industrial Grade Weather Sensors. Texas Electronics Venezuela.
Utilities are installing their own weather monitoring stations to more accurately predict power demand and avoid penalties for incorrect predictions. Industrial-grade weather stations from Texas Electronics provide precise data on conditions and seamlessly integrate into utility systems. This allows utilities like Austin Energy and Owatonna Public Utilities to optimize operations by monitoring demand drivers like temperature, wind and clouds at a local level. Utilities can then safely operate transmission lines at full capacity and accurately forecast gas needs to avoid pipeline penalties.
IoT
This document contains information about Kunjan Gumber and their interest in Internet of Things (IOT). It includes Kunjan's contact information, university details and areas of study. It defines IOT and discusses what types of physical objects can be connected. It provides a basic block diagram of an IOT system and describes reasons for IOT including improved resource utilization and forming an intelligent network. Applications and challenges of IOT are listed such as smart cities and privacy/security issues. Kunjan expresses interest in using IOT for package tracking and delivery optimization. If offered an internship, Kunjan proposes developing a system to allow customers to track deliveries on a map and help companies optimize delivery routes.
IRJET- Peltier based Air Conditioner
The document discusses the development of an air conditioner that uses thermoelectric Peltier modules for cooling rather than harmful refrigerants. Peltier modules operate based on the Peltier effect to absorb heat on one side and release heat on the other side by applying a voltage, providing cooling without emitting gases. The paper reviews prior research on thermoelectric air conditioners and describes the working principles and design of a Peltier-based air conditioner that could provide an environmentally-friendly alternative to conventional air conditioning systems.
IRJET- Smart Weather Monitoring and Real Time Alert System using IoT
This document proposes a smart weather monitoring system using IoT that measures various weather parameters like temperature, humidity, wind speed, etc. using sensors. The sensors send real-time data to a web page for access from anywhere. An app also sends alerts about sudden weather changes. While existing systems have limitations like high costs, maintenance needs and delayed warnings, the proposed system is compact, portable, and cheaper due to its solar power and sensor costs. It analyzes sensor data using an API and Raspberry Pi to predict weather accurately. This smart monitoring system could benefit various industries.
IJSRED-V2I1P16
This document presents a low-cost system for automatically monitoring and controlling the environment inside a greenhouse using IoT technology. The system uses sensors to monitor parameters like light intensity, temperature, humidity, and soil moisture and sends this data to a microcontroller connected to the cloud. When sensor readings exceed predefined thresholds, control actions are taken to adjust devices like lights, fans, water sprayers, and pumps using relays. This creates a closed-loop system that monitors conditions in real-time and makes adjustments to maintain optimal growing conditions without human intervention, improving efficiency and crop yields.
IRJET- Internet of Things (IoT) based Warehouse Monitoring and Control Interf...
This document describes an IoT-based system for monitoring and controlling warehouse parameters. The system uses wireless sensors to monitor temperature, humidity, LPG, CO, and methane levels. It provides real-time location coordinates and sensor data to reduce waste. The sensor data is sent to a base station via Bluetooth and displayed. It is also pushed to the cloud and stored in an Excel spreadsheet. The spreadsheet data is converted to a PDF and emailed daily. A mobile app allows remote monitoring and control via relays. The system alerts if temperature exceeds set points and updates data automatically.
Smart home
This document proposes a database for a smart home that would gather meaningful big data from sensors. It would track appliance usage patterns, indoor environmental conditions like temperature and humidity, and user information like location and health status over time. The system would involve Raspberry Pi devices to sense data and transfer it to a MySQL database via a Node.js server. The data could then be visualized to provide insights into home activities and conditions.
IRJET- Automated Smart Greenhouse Environment using IoT
This document describes an automated smart greenhouse system using Internet of Things (IoT) technology. Sensors are used to monitor environmental parameters like temperature, humidity, soil moisture, light intensity, and pH levels. An Arduino microcontroller collects data from the sensors and sends it over WiFi or Ethernet to a cloud server. Users can access the sensor data through a mobile app to remotely monitor greenhouse conditions. If any parameters exceed a threshold, the system can automatically control actuators like fans, pumps, and lights to regulate the greenhouse environment. The system aims to help farmers efficiently manage greenhouse agriculture without constant on-site presence.
Emoncms gabriponzo+andreabelloni
Sistema per la misurazione dei consumi energetici, con memorizzazione storica e grafici anche comparativi. Presentazione del progetto e sua integrazione con varie piattaforme di misurazione elettronica (Hardware)
OpenEnergyMonitor Project April 2015
OpenEnergyMonitor is a project that develops open-source energy monitoring tools to help people understand their energy use, systems, and the challenge of sustainable energy. It started in 2009 and has grown a large online community that shares software, hardware designs, and documentation. Key hardware includes the EmonTx, which monitors energy data from AC circuits, and the EmonPi, which combines the EmonTx with a Raspberry Pi base station. Open source software like Emoncms allows visualizing energy and environmental data and has processed over 7,000 orders from around the world. The project also supports an open hardware business that employs people while funding further open source development.
More Related Content
What's hot
IOT Based Data Monitoring System
This document describes an Internet of Things (IoT) based data monitoring system that uses sensors interfaced with an ARM microcontroller to monitor environmental information like temperature, light, humidity, and pressure. The microcontroller transfers the sensor data over the internet via Ethernet or WiFi to a cloud server. A graphical user interface allows for uniform monitoring of all measured parameters and provides a cost-effective and easy to maintain alternative to existing bulky and expensive monitoring systems.
Io t enabled plant soil moisture monitoring system using wireless sensor netw...
The document describes an IoT-enabled plant soil moisture monitoring system using wireless sensor networks. The system uses soil moisture sensors connected to a microcontroller and Zigbee modules to transmit sensor readings wirelessly. The data is sent to a Raspberry Pi gateway and then uploaded to the cloud. An exponential weighted moving average algorithm is used to generate threshold values for event detection and enhance the wireless sensor network's lifetime. The system allows for real-time remote monitoring of soil moisture levels to enable precision agriculture.
Lab Monitoring and Device Control Using Atmega 328 Based wireless Network Sensor
Abstract: The main objective of this project is to design an embedded based control warning system. In this project Wireless Sensor Nodes(WSN)technology is used with the help of microcontroller The Zigbee module is used to transmit the data With the help of GSM technology the data is collected in the mobile phone Here we have three sections. In the Sensor section it has humidity and temperature to monitor the Lab parameters. It has Zigbee module which will transmit the data to the intermediate section. In the intermediate section we have a Zigbee module and a GSM modem. The Zigbee module will receive the data from the Sensor section and analyses it. If the value gets abnormal it will send the message to the supervisor’s mobile.
Keywords: lab monitoring, wireless communication, sensors, Real-time monitoring, security.
Title: Lab Monitoring and Device Control Using Atmega 328 Based wireless Network Sensor
Author: Mohammed Sameer Hussain, Mirza Mohammed Abed Ullah Baig, Adnan Adil, Syed Samdani, Surrender Reddy
ISSN 2349-7815
International Journal of Recent Research in Electrical and Electronics Engineering (IJRREEE)
Paper Publications
INTERNET OF THINGS (IoT) APPLICATIONS TO MONITORING PLANT DISEASE DETECTION
The document outlines the methodology for detecting plant diseases using IoT. It discusses using sensors to collect data on plant parameters like temperature, humidity, color. This data is sent to a Raspberry Pi and then to the cloud for analysis. A deep learning model is used to classify the data and detect diseases. The process involves image acquisition, pre-processing, segmentation, feature extraction and classification. Common techniques discussed are temperature/color sensors to detect disease, drone mapping, precision farming applications. Benefits highlighted are generating business models, reducing costs and improving efficiency through data analysis.
Mayur khatri cv
Mayur Khatri is an experienced data analytics consultant seeking new opportunities. He has skills in Python, Pandas, Power BI, SQL, and predictive modeling. Previously he worked as an IoT engineer monitoring gas boilers and as an electrical engineer testing equipment and conducting condition monitoring. He has a B.E. in Electrical Engineering and diploma in electrical engineering with experience in projects involving smart energy meters and transformer fault detection.
Load Hiding of Household’s Power Demand
This document discusses techniques for hiding household power loads to protect privacy in smart meter data. It presents two techniques: Battery Load Hiding (BLH) and Load Based Load Hiding (LLH). BLH uses batteries and an inverter to obfuscate total demand but can accurately hide small appliances, while LLH controls appliances like water heaters to hide large loads but does not hide total usage. Both were tested on real household data, with BLH maintaining better accuracy for identifying appliances but being more expensive to implement than LLH. The document concludes that obfuscating data at the household level is needed for privacy and that BLH and LLH each have advantages depending on cost and desired level of privacy for small and large
Smart lighting system iso iec ieee 21451 compatible
I3E Technologies,
#23/A, 2nd Floor SKS Complex, Opp. Bus Stand, Karur-639 001.
IEEE PROJECTS AVAILABLE,
NON-IEEE PROJECTS AVAILABLE,
APPLICATION BASED PROJECTS AVAILABLE,
MINI-PROJECTS AVAILABLE.
Improvement in Home Automation
Presentation on Improvement in home automation strategies by designing apparatus for efficient smart home using renewable energy sources
Humidity Sensing Device for Soil, Atmosphere and Other Material with Temperat...
This document describes a humidity sensing device that measures temperature, humidity, and moisture simultaneously. It contains a microcontroller interfaced with sensors to measure these values and display them on an LCD screen. The device provides accurate environmental readings that are useful for various applications like construction, industry, and research. It has a simple user interface and is portable at 14x8 inches. The document discusses the device's design, components, applications, and concludes it is a useful instrument for measuring important atmospheric quantities.
C kresearch activities
Charles Kanyunga is an electronic engineering instructor who teaches courses in solid state electronics, communications engineering, mobile communications systems design, industrial control, and electronic instrumentation. He published a design for a portable weather monitoring system using a PIC16F876 microcontroller to measure temperature, wind speed, and solar radiation. His research includes automated control systems for a continuous flow biodiesel production plant using jatropha curcas seeds.
IoT Based Weather Monitoring System for Effective Analytics
International Journal of Engineering and Advanced Technology.
Volume 8, Issue 4, pp 311-315.
Source code available in github.com/ferdinjoe
Wsn based smart sensors and actuator for power management in intelligent buil...
The document describes a smart monitoring and controlling system for household electrical appliances that uses wireless sensor networks. The system monitors voltage, current, and power consumption of appliances in real time. It then implements different controlling mechanisms for appliances to provide low-cost and flexible power management. Experimental testing of a prototype produced encouraging results for saving electricity expenses.
Industrial Grade Weather Sensors. Texas Electronics Venezuela.
Utilities are installing their own weather monitoring stations to more accurately predict power demand and avoid penalties for incorrect predictions. Industrial-grade weather stations from Texas Electronics provide precise data on conditions and seamlessly integrate into utility systems. This allows utilities like Austin Energy and Owatonna Public Utilities to optimize operations by monitoring demand drivers like temperature, wind and clouds at a local level. Utilities can then safely operate transmission lines at full capacity and accurately forecast gas needs to avoid pipeline penalties.
IoT
This document contains information about Kunjan Gumber and their interest in Internet of Things (IOT). It includes Kunjan's contact information, university details and areas of study. It defines IOT and discusses what types of physical objects can be connected. It provides a basic block diagram of an IOT system and describes reasons for IOT including improved resource utilization and forming an intelligent network. Applications and challenges of IOT are listed such as smart cities and privacy/security issues. Kunjan expresses interest in using IOT for package tracking and delivery optimization. If offered an internship, Kunjan proposes developing a system to allow customers to track deliveries on a map and help companies optimize delivery routes.
IRJET- Peltier based Air Conditioner
The document discusses the development of an air conditioner that uses thermoelectric Peltier modules for cooling rather than harmful refrigerants. Peltier modules operate based on the Peltier effect to absorb heat on one side and release heat on the other side by applying a voltage, providing cooling without emitting gases. The paper reviews prior research on thermoelectric air conditioners and describes the working principles and design of a Peltier-based air conditioner that could provide an environmentally-friendly alternative to conventional air conditioning systems.
IRJET- Smart Weather Monitoring and Real Time Alert System using IoT
This document proposes a smart weather monitoring system using IoT that measures various weather parameters like temperature, humidity, wind speed, etc. using sensors. The sensors send real-time data to a web page for access from anywhere. An app also sends alerts about sudden weather changes. While existing systems have limitations like high costs, maintenance needs and delayed warnings, the proposed system is compact, portable, and cheaper due to its solar power and sensor costs. It analyzes sensor data using an API and Raspberry Pi to predict weather accurately. This smart monitoring system could benefit various industries.
IJSRED-V2I1P16
This document presents a low-cost system for automatically monitoring and controlling the environment inside a greenhouse using IoT technology. The system uses sensors to monitor parameters like light intensity, temperature, humidity, and soil moisture and sends this data to a microcontroller connected to the cloud. When sensor readings exceed predefined thresholds, control actions are taken to adjust devices like lights, fans, water sprayers, and pumps using relays. This creates a closed-loop system that monitors conditions in real-time and makes adjustments to maintain optimal growing conditions without human intervention, improving efficiency and crop yields.
IRJET- Internet of Things (IoT) based Warehouse Monitoring and Control Interf...
This document describes an IoT-based system for monitoring and controlling warehouse parameters. The system uses wireless sensors to monitor temperature, humidity, LPG, CO, and methane levels. It provides real-time location coordinates and sensor data to reduce waste. The sensor data is sent to a base station via Bluetooth and displayed. It is also pushed to the cloud and stored in an Excel spreadsheet. The spreadsheet data is converted to a PDF and emailed daily. A mobile app allows remote monitoring and control via relays. The system alerts if temperature exceeds set points and updates data automatically.
Smart home
This document proposes a database for a smart home that would gather meaningful big data from sensors. It would track appliance usage patterns, indoor environmental conditions like temperature and humidity, and user information like location and health status over time. The system would involve Raspberry Pi devices to sense data and transfer it to a MySQL database via a Node.js server. The data could then be visualized to provide insights into home activities and conditions.
IRJET- Automated Smart Greenhouse Environment using IoT
This document describes an automated smart greenhouse system using Internet of Things (IoT) technology. Sensors are used to monitor environmental parameters like temperature, humidity, soil moisture, light intensity, and pH levels. An Arduino microcontroller collects data from the sensors and sends it over WiFi or Ethernet to a cloud server. Users can access the sensor data through a mobile app to remotely monitor greenhouse conditions. If any parameters exceed a threshold, the system can automatically control actuators like fans, pumps, and lights to regulate the greenhouse environment. The system aims to help farmers efficiently manage greenhouse agriculture without constant on-site presence.
What's hot (20)
Io t enabled plant soil moisture monitoring system using wireless sensor netw...
Io t enabled plant soil moisture monitoring system using wireless sensor netw...
Lab Monitoring and Device Control Using Atmega 328 Based wireless Network Sensor
Lab Monitoring and Device Control Using Atmega 328 Based wireless Network Sensor
INTERNET OF THINGS (IoT) APPLICATIONS TO MONITORING PLANT DISEASE DETECTION
INTERNET OF THINGS (IoT) APPLICATIONS TO MONITORING PLANT DISEASE DETECTION
Smart lighting system iso iec ieee 21451 compatible
Smart lighting system iso iec ieee 21451 compatible
Humidity Sensing Device for Soil, Atmosphere and Other Material with Temperat...
Humidity Sensing Device for Soil, Atmosphere and Other Material with Temperat...
IoT Based Weather Monitoring System for Effective Analytics
IoT Based Weather Monitoring System for Effective Analytics
Wsn based smart sensors and actuator for power management in intelligent buil...
Wsn based smart sensors and actuator for power management in intelligent buil...
Industrial Grade Weather Sensors. Texas Electronics Venezuela.
Industrial Grade Weather Sensors. Texas Electronics Venezuela.
IRJET- Smart Weather Monitoring and Real Time Alert System using IoT
IRJET- Smart Weather Monitoring and Real Time Alert System using IoT
IRJET- Internet of Things (IoT) based Warehouse Monitoring and Control Interf...
IRJET- Internet of Things (IoT) based Warehouse Monitoring and Control Interf...
IRJET- Automated Smart Greenhouse Environment using IoT
IRJET- Automated Smart Greenhouse Environment using IoT
Viewers also liked
Emoncms gabriponzo+andreabelloni
Sistema per la misurazione dei consumi energetici, con memorizzazione storica e grafici anche comparativi. Presentazione del progetto e sua integrazione con varie piattaforme di misurazione elettronica (Hardware)
OpenEnergyMonitor Project April 2015
OpenEnergyMonitor is a project that develops open-source energy monitoring tools to help people understand their energy use, systems, and the challenge of sustainable energy. It started in 2009 and has grown a large online community that shares software, hardware designs, and documentation. Key hardware includes the EmonTx, which monitors energy data from AC circuits, and the EmonPi, which combines the EmonTx with a Raspberry Pi base station. Open source software like Emoncms allows visualizing energy and environmental data and has processed over 7,000 orders from around the world. The project also supports an open hardware business that employs people while funding further open source development.
Content Based Image Retrieval Using Dominant Color and Texture Features
The purpose of this Paper is to describe our research on different feature extraction and matching techniques in designing a Content Based Image Retrieval (CBIR) system. Due to the enormous increase in image database sizes, as well as its vast deployment in various applications, the need for CBIR development arose. Content Based Image Retrieval (CBIR) is the retrieval of images based on features such as color and texture. Image retrieval using color feature cannot provide good solution for accuracy and efficiency. The most important features are Color and texture. In this paper technique used for retrieving the images based on their content namely dominant color, texture and combination of both color and texture. The technique verifies the superiority of image retrieval using multi feature than the single feature.
Improving Stability of Utility-Tied Wind Generators using Dynamic Voltage Res...
The generation of electricity using wind power is significantly increasing and has received considerable attention in recent years. One important problem with the induction generator based wind farms is that they are vulnerable to voltage disturbances and short circuit faults. Any such disturbance may cause wind farm outages. Since wind power contribution is in considerable percentage, such outages may lead to power system stability issues and also violate the grid code requirements. Thus, improving the reliability of wind farms is essential to maintain the stability of the system. The proposed strategy is to use Dynamic Voltage Restorer (DVR), which is one of the promising devices to compensate the voltage disturbance and to improve the stability of the system. It provides the wind generator with the fault ride through capability and improves the reliability of the system. Fuzzy Logic controller is used as a controller in order to control the dc link voltages and to reduce the harmonics. Simulation results for a 2 MW wind turbine are presented, especially for asymmetrical grid faults. They show the effectiveness of the DVR in comparison to the low voltage ride-through of the DFIG using a crowbar that does not allow continuous reactive power production. Extensive simulation results are included to illustrate the operation of DVR and fault compensation.
Identification and Rejection of Defective Ceramic Tile using Image Processing...
Manual Ceramic Tile inspection process is tedious if human operator is employed to look for defective tiles and their elimination. The plain ceramic tiles often have the following types of defects viz Cracks, Blobs and pin holes [1]. The fatigue of human operator deteriorates the quality of the tile being produced. In this paper a novel and simple automatic tile defect identification and elimination system is proposed. The proposed system is built around MATLAB and ARDUINO. The systems performance is evaluated in terms of accuracy and time taken for detection. The Proposed system promises superior performance when compared to the other existing system
Intelligent Farmer Friendly System
The greenhouse based modern agriculture of industries are the recent requirement in every part agriculture in India. In this technology, the humidity and temperature of plants are precisely controlled. Due to the variable atmospheric circumstances these conditions sometimes may vary from place to place in large farmhouse, which makes very difficult to maintain the uniformity at all the places in the farmhouse manually. It is observed that for the first time an android phone-control the Irrigation system, which could give the facilities of maintaining uniform environmental conditions are proposed. The Android Software Development Kit provides the tools and Application Programmable Interface necessary to begin developing applications on the Android platform using the Java programming language. Mobile phones have almost become an integral part of human life serving multiple needs of humans. This application makes use of the GPRS [General Packet Radio Service] feature of mobile phone as a solution for irrigation control system. GSM (Global System for Mobile Communication) is used to inform the user about the exact field condition. The information is passed onto the user request in the form of SMS. The concept of anti theft security is used It hence deters thieves from committing the theft. It also effectively prevents stealing of motor wires and it has been a persisting problem around the fields and greater challenge to the farmer.
Vehicle Theft Control and Accident Location Intimation Through SMS
Human life is more valuable than anything else, timely help is more important than lending a helping hand. This project is one among those which is designed in a way to save human lives in a timely manner. In modern day vehicles, vehicle anti-theft system is of prime importance and traffic accidents are one of the leading causes of fatalities. An important indicator of survival rates after an accident is the time between the accident and when emergency medical personnel are dispatched to the accident location. By eliminating the time between when an accident occurs and when the first responders are dispatched to the scene decreases mortality rates, we can save lives. There are two main modules discussed in the project. In this project the first module is password based security system to access the vehicle. And the second one is accident location intimation through SMS by using GSM module.
Techniques for Improving BER and SNR in MIMO Antenna for Optimum Performance
The use of multiple antennas for diversity, including MIMO (Multiple Input Multiple Output) is one of the most promising wireless technologies for broadband communication applications. This antenna system is a vital study in today’s wireless communication system especially when the signal propagates through some corrupted environments. In our paper new techniques of improving bit error ratio and signal to noise ratio are discussed. Inter symbol interference is a major limitation of wireless communications. It degrades the performance significantly if the delay spread is comparable or higher than the symbol duration. To remove ISI, equalization needs to be included at the receiver end. This paper discusses the merits of the MIMO system and the techniques used for improving BER performance and SNR. In MIMO wireless communication, an equalizer is used to recover a signal that suffers from Inter symbol Interference (ISI) and the BER characteristics is improved and a good SNR can be obtained. Different equalization techniques are discussed in this paper.
Generalized Parallel CRC Computation
This document presents a method for parallel CRC computation that improves on previous approaches. It derives a recursive formula from the polynomial generator degree that allows generation of parallel CRC circuits independently of the technology used. The approach generates an F-matrix from the polynomial that is used to design circuits for processing multiple bits in parallel. Simulation results show the parallel CRC circuits can process data faster than serial LFSR approaches, with 64-bit parallel processing achieving the fastest speed. The method provides a customizable solution for building parallel CRC hardware across different polynomial generators and data widths.
An Effective Approach for Colour Image Transmission using DWT Over OFDM for B...
Image transmission over the fading channels without degrading the perceptual quality is a challenging task while mitigating the power consumption in many fields such as broadband networks, mobile communications, Image sharing and video broadcasting. Also, it is not possible to resend the lost packets every time in many applications such as video broadcasting. Here, an effective approach for color image transmission has been proposed with power saving approach over OFDM system. Experimental results shows that the reception quality of received image is good enough with various peak signal to noise ratios also saved 60% of energy.
RFID Based Security and Access Control System using ARDUINO
There has been rising demand for secure system that must be dependable and quick respond for the industries and company. To secure industries and companies this concept is helpful. RFID (Radio Frequency Identification) is one of the consistent and fast means of identify the material object. In the long ago the barcode’s are more preferable as compared to RFID because of their cost but now a day’s RFID are easily available and are more convenient to use. Research has made some drastic changes which makes its programming a lot shorter and easier is because of replacing microcontroller with Arduino. Arduino makes the circuit and programming a lot easier to understand. This project is based upon security access and control system using RFID and Arduino. Security access system is very convenient to use at home, office and commercial buildings
Gesture Vocalizer
Generally dumb people use sign language for communication but they find difficulty in communicating with others who don’t understand sign language. This project aims to lower this barrier in communication. It is based on the need of developing an electronic device that can translate sign language into speech in order to make the communication take place between the mute communities with the general public possible. A Wireless data gloves is used which is normal cloth driving gloves fitted with flex sensors along the length of each finger and the thumb. Mute people can use the gloves to perform hand gesture and it will be converted into speech so that normal people can understand their expression. Sign language is the language used by mute people and it is a communication skill that uses gestures instead of sound to convey meaning simultaneously combining hand shapes, orientations and movement of the hands, arms or body and facial expressions to express fluidly a speaker’s thoughts. Signs are used to communicate words and sentences to audience.
Comparison of Image Segmentation Algorithms for Brain Tumor Detection
This paper deals with the implementation of Simple Algorithms for detection of size and shape of tumor in brain using MRI images. Generally, CT scan or MRI that is directed into intracranial cavity produces a complete image of brain. This image is visually examined by the physician for detection & diagnosis of brain tumor. However this method of detection resists the accurate determination of stage & size of tumor. To avoid that, this project uses computer aided method for segmentation (detection) of brain tumor by applying Fuzzy C-Means, K-Means, Gaussian Kernel and Pillar K-means algorithms. This segmentation process includes a new mechanism for clustering the elements of high-resolution images in order to improve precision and reduce computation time. The system applies FCM, Gaussian kernel and K-means clustering to the image later optimized by Pillar Algorithm. It designates the initial centroids’ positions by calculating the Euclidian distance metric between each data point and all previous centroids. Then it selects data points which have the maximum distance as new initial centroids. This algorithm distributes all initial centroids according to the maximum accumulated distance metric. In addition, it also reduces the time for analysis. At the end of the process the tumor is extracted from the MRI image and its exact position and the shape is also determined. This paper evaluates the proposed approach for Brain tumor detection by comparing with K-means, Fuzzy C means, Gaussian Kernel and manually segmented algorithms. The experimental results clarify the effectiveness of proposed approach to improve the segmentation quality in aspects of precision and computational time.
VLSI Implementation of 32-Bit Unsigned Multiplier Using CSLA & CLAA
In this project we are going to compare the performance of different adders implemented to the multipliers based on area and time needed for calculation. The CLAA based multiplier uses the delay time of 99ns for performing multiplication operation where as in CSLA based multiplier also uses nearly the same delay time for multiplication operation. But the area needed for CLAA multiplier is reduced to 31 % by the CSLA based multiplier to complete the multiplication operation.
Traffic Density Control and Accident Indicator Using WSN
Now a day’s many of the things get controlled automatically. Everything is getting controlled using the mechanical or the automated systems. In every field machines are doing the human works. But still some area is controlled manually. For example traffic controls, road control, parking controlling. Keeping these things in mind we are trying to develop the project to automate the traffic tracking for the square. To make any project more useful and acceptable by any organization we need to provide multiple features in a single project. Keeping these things in consideration proposed system is less with multiple methodologies which can be used in traffic control system It is important to know the road traffic density real time especially in mega cities for signal control and effective traffic management. In recent years, video monitoring and surveillance systems have been widely used in traffic management. Hence, traffic density estimation and vehicle classification can be achieved using video monitoring systems. In most vehicle detection methods in the literature, only the detection of vehicles in frames of the given video is emphasized. However, further analysis is needed in order to obtain the useful information for traffic management such as real time traffic density and number of vehicle types passing these roads. This paper presents emergency vehicle alert and traffic density calculation methods using IR and GPS
Introduction to SlideShare for Businesses
As the global hub of professional content, SlideShare can help you or your business amplify its reach, get discovered by targeted audiences and capture more professional opportunities. Learn why you should use SlideShare for your business
How to Make Awesome SlideShares: Tips & Tricks
Turbocharge your online presence with SlideShare. We provide the best tips and tricks for succeeding on SlideShare. Get ideas for what to upload, tips for designing your deck and more.
Getting Started With SlideShare
SlideShare is a global platform for sharing presentations, infographics, videos and documents. It has over 18 million pieces of professional content uploaded by experts like Eric Schmidt and Guy Kawasaki. The document provides tips for setting up an account on SlideShare, uploading content, optimizing it for searchability, and sharing it on social media to build an audience and reputation as a subject matter expert.
Viewers also liked (18)
Content Based Image Retrieval Using Dominant Color and Texture Features
Content Based Image Retrieval Using Dominant Color and Texture Features
Improving Stability of Utility-Tied Wind Generators using Dynamic Voltage Res...
Improving Stability of Utility-Tied Wind Generators using Dynamic Voltage Res...
Identification and Rejection of Defective Ceramic Tile using Image Processing...
Identification and Rejection of Defective Ceramic Tile using Image Processing...
Vehicle Theft Control and Accident Location Intimation Through SMS
Vehicle Theft Control and Accident Location Intimation Through SMS
Techniques for Improving BER and SNR in MIMO Antenna for Optimum Performance
Techniques for Improving BER and SNR in MIMO Antenna for Optimum Performance
An Effective Approach for Colour Image Transmission using DWT Over OFDM for B...
An Effective Approach for Colour Image Transmission using DWT Over OFDM for B...
RFID Based Security and Access Control System using ARDUINO
RFID Based Security and Access Control System using ARDUINO
Comparison of Image Segmentation Algorithms for Brain Tumor Detection
Comparison of Image Segmentation Algorithms for Brain Tumor Detection
VLSI Implementation of 32-Bit Unsigned Multiplier Using CSLA & CLAA
VLSI Implementation of 32-Bit Unsigned Multiplier Using CSLA & CLAA
Traffic Density Control and Accident Indicator Using WSN
Traffic Density Control and Accident Indicator Using WSN
Similar to Home Energy Monitoring System Using Internet of Things
Instant Access of Power Usage through IP Enabled Electronic Power Meter
Nowadays Electrical Energy is a vital resource for human being for their day to day activities. It is
very important to know the usage of electricity to regulate the consumption. The power usage is a very
important criterion in places like domestic purpose, industries, public places, etc. At the end of every month as
soon as the electricity bill arrives we may be surprised because of over usage, we may get more bill amount and
in turn electrical board may demand us pay more ASD (Advanced security deposit). To overcome this problem
we propose the new idea of enabling the digital meters to send the instant power usage statistics through
Internet. It is very important to know about the basic knowledge of what is electricity meter, how to measure the
amount of electrical energy (in watt hour [Wh] units), and power consumption by house hold equipments or
devices. We should also know the tariff of the Electrical board for each unit in various domains. By using all
these data we can provide an effective regulation of power usage and in turn which leads to expected electrical
bill amount. This paper gives a new approach towards instant access of power usage details through IP enabled
electronic meter to minimize or reduce the day to day electrical power consumption.
Performance Evaluation of Smart Home System using Internet of Things
Nowadays, many researches have been conducted on smart home. Smart home control system (SHCS) can be integrated into an existing home appliances to reduce the need for human intervention, increase security and energy efficiency. We have proposed a smart home system using internet of things and four types of sensors, including PIR, temperature, ultrasonic, and smoke gas sensor for automatic environmental control and intrustion detection. In this paper, the performance of the previously developed prototype of smart home system will be evaluated. First, experiments on various sensors will be conducted. Next, the communicaton channel using wireless and Ethernet modules will be discussed. Moreover, the overall SHCS will be evaluated in terms of hardware and software performance. Additionaly, solar charger enhances the availability of our prototype system. Results showed the effectiveness of our proposed smart home system in the prototype and real life experiments.
IRJET- IOT Based Residence Energy Control System
This document describes an IoT-based home energy control system called RECoS that aims to minimize home energy consumption. The system uses smart sockets connected to appliances via Zigbee communication. It monitors energy usage in real-time and uses a backpropagation neural network algorithm to learn usage patterns and set adaptive energy limits to automatically shut off devices during idle periods. Experimental results found the system could reduce total home energy usage by around 45% per week. The system provides remote monitoring of appliance energy usage via a mobile app and cloud server.
30 9137 e implementation of cloud connected smart plug (edit lafi)
This document describes the implementation of a cloud-connected smart plug with energy monitoring capabilities. The smart plug allows users to monitor and control up to six electrical appliances remotely using a smartphone. It uses sensors to measure energy consumption of connected devices in real-time. The plug connects to the cloud using Wi-Fi to enable remote monitoring and control via a mobile app. Users can schedule devices to turn on and off automatically and detect occupancy to reduce wasted energy. The system provides real-time energy monitoring of home appliances through an IoT approach integrating sensors, microcontrollers, cloud services and mobile applications.
Zeroth Review (1).pptx
The document proposes a smart meter system to analyze electricity load in real-time and remotely control appliances. It discusses:
1. Using smart meters connected to a web application via WiFi to measure load in each room and upload data.
2. The web application stores data and allows users to view current load and monthly statements, as well as control rooms remotely.
3. Integrating machine learning to predict future usage and help users reduce consumption.
The system aims to provide low-cost, real-time power monitoring and address issues with existing solutions like lack of remote control and usage insights.
IRJET - IoT based Energy Monitoring System for Energy Conservation
This document describes the design and implementation of a low-cost IoT energy monitoring system. Sensors are used to measure environmental data like temperature, humidity, and motion. An energy monitoring solution integrates with these sensors. The system uses a PZEM-004T energy meter, CT sensors, an SD3004 chip, and ESP8266 microcontroller to measure voltage, current, power consumption, and more. This data is sent via MQTT to a Raspberry Pi server. The system provides energy monitoring for applications like billing, smart grids, and home automation in a low-cost way. It concludes the system successfully monitors energy metrics and sends data to servers for analysis and management.
Smart Home Automation Using IOT (Internet OF Things)
Abstract: A proposed development of the Internet in which everyday objects have network connectivity, allowing them to send and receive data.(or) The concept of internetworking of physical devices, vehicles, buildings and other items embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data is defined as “Internet of things”.It is the basic necessity for developing a smart environment in which all the physical appliances communicate with each other to deliver ease of living reducing the manual work up to a great extent. This inter-connected smart environment is the future of electronic universe enabling sophistication to all the time consuming manual data transfers and instructions carried out by the mankind. The infrastructure of information society depends up on IOT, enhancing the opportunities for more direct integration between physical and cyber world. Therefore, ultimately providing improved efficiency, accuracy and economic benefits.
Keywords: Internet of things, sensors, worldwide controlling, windows application, Internet monitoring, smart sensor calibration.
Title: Smart Home Automation Using IOT (Internet OF Things)
Author: Mr. Jawwad Khizar Patel, Mr. Mohammed Abdul Moyeed, Mr. Syed Ahmed Zayaanuddin, Mr. Mohammed, Mrs E. Shilpa
ISSN 2349-7815
International Journal of Recent Research in Electrical and Electronics Engineering (IJRREEE)
Paper Publications
Project_PPTqwertyujkopljjgdsasccnmmjjgfderhjknnvcdewtuijnbvcdsghnbggdc bbbb.pptx
This document describes an electricity theft detection and monitoring project using IoT. The proposed system employs current and voltage sensors at different nodes to accurately measure electricity consumption. It then uses GSM modules to automatically generate bills, eliminating human intervention. The system was designed and implemented using Arduino and NodeMCU microcontrollers. It integrates state-of-the-art technologies like IoT to modernize energy management and enable smart grids. The project aims to enhance efficiency, reduce costs, and support sustainable energy practices. It was tested and shown to accurately detect power theft situations.
The International Journal of Engineering and Science (The IJES)
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
IRJET - Energy Consumption Indicator
This document describes an "Energy Consumption Indicator" system that monitors household energy consumption and notifies consumers when consumption reaches a predefined threshold. The system uses an Arduino Mega microcontroller connected to an energy meter circuit to continuously monitor energy usage parameters like voltage, current and power. When consumption reaches the threshold, the Arduino sends a notification via Raspberry Pi to the consumer's mobile phone using SMS. The goal is to increase consumer awareness of energy usage to help lower electricity bills and reduce excessive consumption. A prototype was built and tested that successfully sent alert messages to a phone when threshold values were reached.
Easy Metering of Energy Meter using Internet of things Platform
This document proposes a system to easily meter energy consumption from both renewable and non-renewable sources using an Internet of Things platform. A microcontroller automatically switches loads between solar/wind generated power stored in batteries and power from the grid. An energy meter connected to the microcontroller transmits power usage to an IoT system, which updates usage details on a web page for the electricity provider and user. This allows remote monitoring of renewable and non-renewable energy usage while reducing manual meter reading errors and increasing awareness of efficient renewable energy use.
Design and Implementation of IOT Based Smart Power Monitoring and Management ...
We will design a system based on WSNs and IoT technologies to manage real-time power at buildings. This system comprises of: a wireless sensor network (sensing node and base station) and a smart home gateway. A sensing node is utilized wireless sensors to measure voltage and current; to calculate power consumption of connected appliances, transmitted wirelessly to a base station via Zigbee node. A base station is designed to receive all data transmitted from the sensing node and display it through GUI available at the personal computer, with the possibility of controlling ON and OFF appliances according to consumer requirements; All of these readings will be stored at database for analysis. In addition, a smart home gateway will connect the system with internet to allow consumers to continuous monitoring and remote control the appliances via a smartphone application. The benefit of this system, that the appliances control mechanism can be done in different ways (manually, automatically, and remotely). Various household appliances were tested to verify the accuracy of the electrical parameters that measured at system and compare them with practical measurement, found the average error ratio between them (0.3%) was in voltage, (1.5%) in current, and (1.8%) in power.
DESIGN AND IMPLEMENTATION OF IOT BASED SMART POWER MONITORING AND MANAGEMENT ...
ABSTRACT
We will design a system based on WSNs and IoT technologies to manage real-time power at buildings. This system comprises of: a wireless sensor network (sensing node and base station) and a smart home gateway. A sensing node is utilized wireless sensors to measure voltage and current; to calculate power consumption of connected appliances, transmitted wirelessly to a base station via Zigbee node. A base station is designed to receive all data transmitted from the sensing node and display it through GUI available at the personal computer, with the possibility of controlling ON and OFF appliances according to consumer requirements; All of these readings will be stored at database for analysis. In addition, a smart home gateway will connect the system with internet to allow consumers to continuous monitoring and remote control the appliances via a smartphone application. The benefit of this system, that the appliances control mechanism can be done in different ways (manually, automatically, and remotely). Various household appliances were tested to verify the accuracy of the electrical parameters that measured at system and compare them with practical measurement, found the average error ratio between them (0.3%) was in voltage, (1.5%) in current, and (1.8%) in power.
IRJET- Power Monitoring with Time Controlling & Data Logging
This document describes a power monitoring system that measures and logs the power consumption of electrical devices. The system uses a current sensor to measure current, which is sent to an Arduino microcontroller. The Arduino calculates power consumption based on current and voltage. Data on power usage is sent wirelessly to a database on ThingSpeak using an ESP8266 WiFi module. The system allows setting timers to automatically turn devices off after a certain time period. This helps save energy. The system was tested on various loads and accurately measured and logged their power usage over time to the ThingSpeak database.
IOT BASED POWER GRID MONITORING & CONTROL SYSTEM
Energy generation corporations provide electricity to any or all the households via intermediate controlled power transmission hubs referred to as Electricity Grid. Generally issues arise thanks to failure of the electricity grid resulting in black out of a complete space that was obtaining provide from that individual grid. This project aims to resolve this downside victimization IOT because the means that of communication and conjointly coping with numerous alternative problems that a wise system will traumatize to avoid needless losses to the Energy producers.
Industrial Mains Power Monitoring and Alert System Over LAN Network
This document summarizes an industrial mains power monitoring and alert system over a LAN network. It discusses using sensors like DHT11 to monitor temperature and humidity in server rooms. If conditions are unsuitable, it will send alerts. It also monitors mains power supply status and will switch to battery power if it goes down, sending alerts over email. The system was designed using Arduino, an ESP01 Wi-Fi module, sensors, and an Ethernet shield to communicate over the LAN network and send alerts to ensure server rooms conditions remain suitable. It provides real-time monitoring of conditions like temperature and humidity to protect servers.
IoT Based Water Level Meter for Alerting Population about Floods
The most important thing before, during and after a disaster is the dissemination of information, the deployment of IoT enabled devices Internet of Things which can bring benefits in terms of providing people with the right decision making information in the face of this disaster. In this paper, we introduce a sensor for measuring water quality in rivers, lakes, ponds and streams. To prove our idea, weve developed a pilot project using a small scale model used for water based sensors based on an open circuit that meets water and is tested horizontally in a water container under a controlled environment. Ashwin Kumar V | Bharanidharan N | Bharanidharan S | Vanaja. C "IoT Based Water Level Meter for Alerting Population about Floods" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd31714.pdf Paper Url: https://www.ijtsrd.com/engineering/electrical-engineering/31714/iot-based-water-level-meter-for-alerting-population-about-floods/ashwin-kumar-v
IRJET- A Smart Monitoring System for Hybrid Energy System using IoT
This document describes a smart monitoring system for a hybrid energy system using IoT. The system uses solar and wind energy sources and can switch between them without inconvenience through an Android app and WiFi module. An ESP32 microcontroller module transmits and receives electrical data wirelessly from the app and monitors the system. Users can control the energy sources remotely through the app in a flexible and secure manner. The system provides an efficient, cheaper, and flexible way to control hybrid energy sources manually and remotely.
Devices-Smart Electric Surveillance
The document discusses a proposed smart electric surveillance system using IoT technology. The system would set a daily electricity threshold on a digital meter connected to a Raspberry Pi. Once usage reaches the threshold, an automatic alert email would be sent to notify the user. This would help users better understand and potentially limit their electricity consumption. Previous proposals described methods to reduce usage, but did not include notifications. The proposed system aims to address this by notifying users when their threshold is reached through an alert email from the Raspberry Pi. It would help users be aware of usage to avoid disputes with electricity providers and save energy.
Environmental Sensor Network Paper
The research team designed and built a proof-of-concept mesh network to collect environmental data from two sensors - a light sensor and a piezoelectric sensor - and display it to a base station laptop. The network connects the sensors to Arduino platforms which communicate wirelessly via XBee radios. A Python program formats and displays the sensor data for the user. While the network was able to successfully transmit sensor data, further work is needed to improve sensor reliability and network scalability for practical home implementation.
Similar to Home Energy Monitoring System Using Internet of Things (20)
Instant Access of Power Usage through IP Enabled Electronic Power Meter
Instant Access of Power Usage through IP Enabled Electronic Power Meter
Performance Evaluation of Smart Home System using Internet of Things
Performance Evaluation of Smart Home System using Internet of Things
30 9137 e implementation of cloud connected smart plug (edit lafi)
30 9137 e implementation of cloud connected smart plug (edit lafi)
IRJET - IoT based Energy Monitoring System for Energy Conservation
IRJET - IoT based Energy Monitoring System for Energy Conservation
Smart Home Automation Using IOT (Internet OF Things)
Smart Home Automation Using IOT (Internet OF Things)
Project_PPTqwertyujkopljjgdsasccnmmjjgfderhjknnvcdewtuijnbvcdsghnbggdc bbbb.pptx
Project_PPTqwertyujkopljjgdsasccnmmjjgfderhjknnvcdewtuijnbvcdsghnbggdc bbbb.pptx
The International Journal of Engineering and Science (The IJES)
The International Journal of Engineering and Science (The IJES)
Easy Metering of Energy Meter using Internet of things Platform
Easy Metering of Energy Meter using Internet of things Platform
Design and Implementation of IOT Based Smart Power Monitoring and Management ...
Design and Implementation of IOT Based Smart Power Monitoring and Management ...
DESIGN AND IMPLEMENTATION OF IOT BASED SMART POWER MONITORING AND MANAGEMENT ...
DESIGN AND IMPLEMENTATION OF IOT BASED SMART POWER MONITORING AND MANAGEMENT ...
IRJET- Power Monitoring with Time Controlling & Data Logging
IRJET- Power Monitoring with Time Controlling & Data Logging
Industrial Mains Power Monitoring and Alert System Over LAN Network
Industrial Mains Power Monitoring and Alert System Over LAN Network
IoT Based Water Level Meter for Alerting Population about Floods
IoT Based Water Level Meter for Alerting Population about Floods
IRJET- A Smart Monitoring System for Hybrid Energy System using IoT
IRJET- A Smart Monitoring System for Hybrid Energy System using IoT
Recently uploaded
An improved modulation technique suitable for a three level flying capacitor ...
This research paper introduces an innovative modulation technique for controlling a 3-level flying capacitor multilevel inverter (FCMLI), aiming to streamline the modulation process in contrast to conventional methods. The proposed
simplified modulation technique paves the way for more straightforward and
efficient control of multilevel inverters, enabling their widespread adoption and
integration into modern power electronic systems. Through the amalgamation of
sinusoidal pulse width modulation (SPWM) with a high-frequency square wave
pulse, this controlling technique attains energy equilibrium across the coupling
capacitor. The modulation scheme incorporates a simplified switching pattern
and a decreased count of voltage references, thereby simplifying the control
algorithm.
cnn.pptx Convolutional neural network used for image classication
Convolutional Neural Network used for image classification
学校原版美国波士顿大学毕业证学历学位证书原版一模一样
原版一模一样【微信：741003700 】【美国波士顿大学毕业证学历学位证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
Slides for the 4th Presentation on LLM Fine-Tuning with QLoRA Presented by Anant, featuring DataStax Astra
Embedded machine learning-based road conditions and driving behavior monitoring
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Data Driven Maintenance | UReason Webinar
Discover the latest insights on Data Driven Maintenance with our comprehensive webinar presentation. Learn about traditional maintenance challenges, the right approach to utilizing data, and the benefits of adopting a Data Driven Maintenance strategy. Explore real-world examples, industry best practices, and innovative solutions like FMECA and the D3M model. This presentation, led by expert Jules Oudmans, is essential for asset owners looking to optimize their maintenance processes and leverage digital technologies for improved efficiency and performance. Download now to stay ahead in the evolving maintenance landscape.
Applications of artificial Intelligence in Mechanical Engineering.pdf
Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI.
AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.
artificial intelligence and data science contents.pptx
What is artificial intelligence? Artificial intelligence is the ability of a computer or computer-controlled robot to perform tasks that are commonly associated with the intellectual processes characteristic of humans, such as the ability to reason.
› ...
Artificial intelligence (AI) | Definitio
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Comparative analysis between traditional aquaponics and reconstructed aquapon...
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
Null Bangalore | Pentesters Approach to AWS IAM
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Recently uploaded (20)
An improved modulation technique suitable for a three level flying capacitor ...
An improved modulation technique suitable for a three level flying capacitor ...
Manufacturing Process of molasses based distillery ppt.pptx
Manufacturing Process of molasses based distillery ppt.pptx
cnn.pptx Convolutional neural network used for image classication
cnn.pptx Convolutional neural network used for image classication
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
Embedded machine learning-based road conditions and driving behavior monitoring
Embedded machine learning-based road conditions and driving behavior monitoring
Applications of artificial Intelligence in Mechanical Engineering.pdf
Applications of artificial Intelligence in Mechanical Engineering.pdf
artificial intelligence and data science contents.pptx
artificial intelligence and data science contents.pptx
4. Mosca vol I -Fisica-Tipler-5ta-Edicion-Vol-1.pdf
4. Mosca vol I -Fisica-Tipler-5ta-Edicion-Vol-1.pdf
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...
Comparative analysis between traditional aquaponics and reconstructed aquapon...
Comparative analysis between traditional aquaponics and reconstructed aquapon...
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
IEEE Aerospace and Electronic Systems Society as a Graduate Student Member
Home Energy Monitoring System Using Internet of Things
- 1. 8 International Journal for Modern Trends in Science and Technology Volume: 2 | Issue: 04 | April 2016 | ISSN: 2455-3778IJMTST Home Energy Monitoring System Using Internet of Things R L R Lokesh Babu1 | D. Satyanarayanarao2 | Ch. Nehru3 | M. Gopi4 1Assistant Professor, Department of Electronics and Communication Engineering, Ramachandra College of Engineering, Eluru, Andhra Pradesh, India. 2,3,4B.Tech, Students, Department of Electronics and Communication Engineering, Ramachandra College of Engineering, Eluru, Andhra Pradesh, India. This paper presents home energy varying time to time and date vise in graphical representation when ever required through internet. The proposed system evolves the home energy to the next level we can see the data using internet. We should login to access the data by this our data is safe and not hack able. We can see the data on the daily basis check for alteration in the current voltage, temperature, light values for respective loads connected to the system. KEYWORDS: Arduino, Internet of things, Triac, Current sensor, voltage Sensor, Temperature Sensor, Light dependent Sensor. Copyright © 2016 International Journal for Modern Trends in Science and Technology All rights reserved. I. INTRODUCTION Now -a-day’s generation runs with internet in this advanced generation we are using the widely useable and useful technology called Internet of Things. We made communication here through Wi-Fi module. Imagine a world where billions of objects can sense, communicate and share information, all interconnected over public or private Internet Protocol (IP) networks. These interconnected objects have data regularly collected, analyzed and used to initiate action, providing a wealth of intelligence for planning, management and decision making. This is the world of the Internet of Things (IOT). Home energy: A Home Energy Rating is a measurement of a home’s energy efficiency. A home energy rating can be used to gauge the current energy efficiency of a home or estimate the efficiency of a home that is being constructed or improved. A home energy rating of a home prior to construction or improvement is called a “projected rating.” A home energy rating that is used to determine a home’s current efficiency is referred to as a “confirmed rating.”Energy assessments take into account different climatic conditions in different parts of the country and are benchmarked according to average household energy consumption particular to a given climatic region. II. PROPOSED SYSTEM In the proposed system Home energy monitoring system consists of different analog and digital devices with various regulating voltages. The project helps to monitor the values in the home loads. The project has indicator for heavy temperature when the temperature reaches the threshold level the indicator tells by rotating dc fan with a switch type connection. The effect of temperature never lies for longer time so it just indicates and turns of when it crosses the base level or threshold level set by the code which we have written. By this we can turn off the devices or turn on the temperature sensitivity devices as per the requirements. To measure required parameters and send the required data to specified storage location through internet we modified the previous system by using the latest technology internet of things. The project mainly deals with uploading values of voltage, current, temperature, light intensity into online ABSTRACT
- 2. 9 International Journal for Modern Trends in Science and Technology Home Energy Monitoring System Using Internet of ThingsIJMTST storage sever and can be accessible to required persons by username and password. Block diagram: Fig: Block Diagram III. RESULTS AND DISCUSSION Our result consists of four different parameters. They are A. Voltage values: The above graph represents the voltage values at different hours in the same day. B. Current values: The above graph represents the current values at different hours in the same day. C. Temperature values: The above graph represents the temperature values at different hours in the same day. D. Light dependent resister values: The below graph represents the Light Dependent Resistor values at different hours in the same day. REFERENCES [1] www.atmel.com/ATmega48A/PA/88A/PA/168A/PA /328/P [DATASHEET] [2] www.youtube.com/IEEE 2014 EMBEDDED COST EFFECTIVE AND REAL TIME SCADA HOME ENERGY MONITORING SYSTEM. [3] www.Internet Of Things.com [4] www.allegromicro.com/ACS712 [5] http://fabacademy.org/archives/2015/doc/networ kingesp8266.html [6] www.national.com/LM35 Precision Centigrade Temperature Sensors [7] www.arduino.com