This document provides an overview of Efftronics Systems Pvt. Ltd., an Indian company that provides IoT solutions to reduce unaccounted-for water (UFW) in municipal water distribution networks. It discusses India's water crisis including high UFW levels, and describes Efftronics' IoT architecture and deployed solutions in Vijayawada that have helped reduce UFW by monitoring water quality and quantity in real-time, and providing insights to optimize operations. Technical specifications are also provided for various sensor devices used.
This document discusses the potential of internet of things (IoT) technology for creating smart cities. It begins by explaining how large the global IoT market is expected to become by 2020, with billions of connected devices. It then outlines the various components of an IoT ecosystem and discusses market opportunities in areas like application development, integration, and security. The document emphasizes the importance of cities in driving innovation and economic growth. It presents examples of how IoT could be applied in cities for applications like environmental monitoring, parking management, and traffic monitoring. It also discusses challenges around data integration, collection, and analysis for smart cities. Finally, the document discusses approaches for citizen engagement with smart city technologies and applications.
Smart irrigation system using Internet Of ThingsBasavaraj Galagi
This document describes a smart irrigation system project conducted by four students at SDM College of Engineering and Technology in Dharwad, India. The project aims to develop a smart irrigation system using Internet of Things technology. It was conducted during the 2015-2016 academic year under the guidance of a professor in the Electronics and Communication Engineering department. The report documents the system developed and results obtained from the project.
This document proposes an IoT-based smart agriculture monitoring system using sensors and Arduino. The system would consist of temperature, moisture, and water level sensors to monitor soil conditions. A surveillance camera would monitor plant growth and detect biological infections. The system is powered by a solar panel and sends sensor data and camera footage via WiFi and GSM modules to allow remote monitoring on a mobile phone. This would reduce manual labor while optimizing resource use like water and fertilizer to maximize crop yields.
iot based low cost smart irrigation system
Cloud Technologies providing Complete Solution for all
AcademicProjects Final Year/Semester Student Projects
For More Details,
Contact:
Mobile:- +91 8121953811,
whatsapp:- +91 8522991105,
Office:- 040-66411811
Email ID: cloudtechnologiesprojects@gmail.com
This document proposes an IoT-based smart city waste management system using ultrasonic sensors, a microcontroller, WiFi modem, and android app. The system monitors garbage bin levels, alerts when bins are full, and displays status on a web page. This allows for more efficient waste collection, reduced costs, and improved public services. The system implementation details include hardware components, software specifications, circuit diagram, and programming of the microcontroller to interface with sensors and transmit data via WiFi modem. Future work could expand monitoring to more bins across the city.
This project report describes a smart irrigation system that uses sensors to monitor soil moisture levels and automatically controls an irrigation pump. The system includes a NodeMCU microcontroller, DHT11 temperature and humidity sensor, soil moisture sensor, relay module, DC pump, LCD display, and other hardware components. It sends sensor data to a Blynk mobile app via WiFi to allow remote monitoring and control of irrigation. The system aims to optimize water usage for agriculture by irrigating only when needed based on real-time soil conditions.
Water scarcity nowadays is a big concern for farmers and with this growing population of our country agriculture becomes a serious and main problem that our framers are facing today. The main objective of the project is providing automatic irrigation system that switches a motor pump ONOFF by sensing moisture content of the soil through application of Internet of Things (IOT). Human intervention can be reduced by proper method of irrigation. The project consists of Arduino microcontroller and sensor, where Arduino microcontroller is programmed to receive the input signal of varying moisture condition of the soil through sensor. Once the controller receives these signal, the output then relay on operating the water pump. The sensing arrangement is made up of two metallic rods inserted to the agriculture field which is required to be controlled. Priyanka Lahande | Dr. Basavaraj Mathpathi"IoT Based Smart Irrigation System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: http://www.ijtsrd.com/papers/ijtsrd15827.pdf http://www.ijtsrd.com/computer-science/embedded-system/15827/iot-based-smart-irrigation-system/priyanka-lahande
Importance of eco friendly technologies
Global warming : Indian prospective
Fallout of chemical rains
Centralized irrigation monitoring
Internet of things (IOT)
Cross platform app
Open source integrated development environment
This document discusses the potential of internet of things (IoT) technology for creating smart cities. It begins by explaining how large the global IoT market is expected to become by 2020, with billions of connected devices. It then outlines the various components of an IoT ecosystem and discusses market opportunities in areas like application development, integration, and security. The document emphasizes the importance of cities in driving innovation and economic growth. It presents examples of how IoT could be applied in cities for applications like environmental monitoring, parking management, and traffic monitoring. It also discusses challenges around data integration, collection, and analysis for smart cities. Finally, the document discusses approaches for citizen engagement with smart city technologies and applications.
Smart irrigation system using Internet Of ThingsBasavaraj Galagi
This document describes a smart irrigation system project conducted by four students at SDM College of Engineering and Technology in Dharwad, India. The project aims to develop a smart irrigation system using Internet of Things technology. It was conducted during the 2015-2016 academic year under the guidance of a professor in the Electronics and Communication Engineering department. The report documents the system developed and results obtained from the project.
This document proposes an IoT-based smart agriculture monitoring system using sensors and Arduino. The system would consist of temperature, moisture, and water level sensors to monitor soil conditions. A surveillance camera would monitor plant growth and detect biological infections. The system is powered by a solar panel and sends sensor data and camera footage via WiFi and GSM modules to allow remote monitoring on a mobile phone. This would reduce manual labor while optimizing resource use like water and fertilizer to maximize crop yields.
iot based low cost smart irrigation system
Cloud Technologies providing Complete Solution for all
AcademicProjects Final Year/Semester Student Projects
For More Details,
Contact:
Mobile:- +91 8121953811,
whatsapp:- +91 8522991105,
Office:- 040-66411811
Email ID: cloudtechnologiesprojects@gmail.com
This document proposes an IoT-based smart city waste management system using ultrasonic sensors, a microcontroller, WiFi modem, and android app. The system monitors garbage bin levels, alerts when bins are full, and displays status on a web page. This allows for more efficient waste collection, reduced costs, and improved public services. The system implementation details include hardware components, software specifications, circuit diagram, and programming of the microcontroller to interface with sensors and transmit data via WiFi modem. Future work could expand monitoring to more bins across the city.
This project report describes a smart irrigation system that uses sensors to monitor soil moisture levels and automatically controls an irrigation pump. The system includes a NodeMCU microcontroller, DHT11 temperature and humidity sensor, soil moisture sensor, relay module, DC pump, LCD display, and other hardware components. It sends sensor data to a Blynk mobile app via WiFi to allow remote monitoring and control of irrigation. The system aims to optimize water usage for agriculture by irrigating only when needed based on real-time soil conditions.
Water scarcity nowadays is a big concern for farmers and with this growing population of our country agriculture becomes a serious and main problem that our framers are facing today. The main objective of the project is providing automatic irrigation system that switches a motor pump ONOFF by sensing moisture content of the soil through application of Internet of Things (IOT). Human intervention can be reduced by proper method of irrigation. The project consists of Arduino microcontroller and sensor, where Arduino microcontroller is programmed to receive the input signal of varying moisture condition of the soil through sensor. Once the controller receives these signal, the output then relay on operating the water pump. The sensing arrangement is made up of two metallic rods inserted to the agriculture field which is required to be controlled. Priyanka Lahande | Dr. Basavaraj Mathpathi"IoT Based Smart Irrigation System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: http://www.ijtsrd.com/papers/ijtsrd15827.pdf http://www.ijtsrd.com/computer-science/embedded-system/15827/iot-based-smart-irrigation-system/priyanka-lahande
Importance of eco friendly technologies
Global warming : Indian prospective
Fallout of chemical rains
Centralized irrigation monitoring
Internet of things (IOT)
Cross platform app
Open source integrated development environment
This document describes an intelligent irrigation system that automatically waters crops based on soil moisture levels without human interference. It uses soil moisture sensors to monitor the water levels in the farm fields. A microcontroller reads the sensor measurements and controls solenoid valves to irrigate the fields as needed. It can also automatically mix and apply pesticides in the proper ratios. The system aims to optimize water usage and eliminate waste from traditional manual irrigation methods.
Water quality monitoring in a smart city based on IOTMayur Rahangdale
The document describes a water quality monitoring system for smart cities using IoT. The system uses sensors to measure parameters like pH and turbidity in water samples. The sensor data is sent to a smartphone application in real-time via an Arduino board, WiFi module, and Blynk software. The smartphone app displays the sensor readings and issues alerts if water quality thresholds are exceeded. The system allows low-cost, automatic, and remote water quality monitoring to help ensure a safe drinking water supply.
Smart irrigation system using internet of thingsBasavaraj Galagi
This document summarizes an IoT-based smart irrigation system presented by students. It uses an Arduino, WiFi module ESP8266, soil moisture sensor, solenoid valve, submersible water pump, and relay switch to automatically control irrigation. The system connects to an MQTT broker to allow remote monitoring and control via a MyMQTT Android app. Users can subscribe to topics and publish messages to turn the system status and devices like pumps on and off from their phone. The ESP8266 module connects sensors and actuators to the internet to implement an IoT-based smart irrigation solution.
This document describes a smart irrigation system using a GSM network. It consists of a soil moisture sensor connected to a microcontroller that controls a water pump. The microcontroller is connected to a GSM module to send SMS alerts. If the sensor detects soil moisture is below a threshold, it triggers the pump and notifies the user by SMS. When moisture reaches the threshold, the pump stops and another SMS is sent. The system aims to remotely monitor soil moisture in real-time and automate watering to conserve water and reduce labor.
complete presentation on Smart Irrigation system using thingspeak technology is mainly helpful for the farmer to monitor the crop fields. Thingspeak is a platform, we can login with our matlab credentials.this system highly used in Mushroom cultivation because Mushroom cultivation is complete done in a perticuler Room, so this system will monitor the room Humidity, temperature, light and AirQuality. the hole process is we can monitor from any where in the world with help of Thingspeak platform.
This document describes an Android-based home automation system that allows users to control home appliances remotely using their Android smartphones. The system uses an Arduino board, WiFi module, relays, and other hardware components installed next to electrical switches to control appliances. An Android app is also described that communicates with the hardware over WiFi to turn appliances on and off from a smartphone. The system aims to make home automation more affordable and convenient, especially for handicapped individuals. It allows entire homes to be controlled centrally from a mobile device.
This document describes a smart irrigation system that uses sensors to measure soil moisture, temperature, humidity and water levels. The system has a transmitter section with sensors that sends the sensor readings via Zigbee modules to a receiver section. The receiver section has a microcontroller that receives the data and sends messages to farmers via GSM if irrigation is needed. The system automatically provides water to crops based on sensor readings to save water and reduce human intervention in agriculture.
Why apply IoT in agriculture? Special aspects to consider for
IoT in agriculture. IoT application in this field.
More information on our website: http://aggregate.tibbo.com/industries/agriculture.html
The document discusses various Internet of Things (IoT) use cases. It begins by noting that there is a wide range of IoT use cases with different requirements. It then lists several example use cases, including smart agriculture, smart cities, smart emergency response, smart environment, smart grid, smart healthcare, smart home/buildings, smart logistics, smart manufacturing, smart research, smart retail, smart spaces, smart transport, and smart water. The document emphasizes that the diverse use cases will require different architectural approaches and that composing use cases for applications like smart grids and smart transport will be necessary for some applications. It also notes that interoperability between use cases will require standards.
This Project and presentation is created by 'Shanjedul Hassan'
ABSTRACT
Despite the perception people may have regarding the agricultural process, the reality is that today’s agriculture industry is data-cantered, precise, and smarter than ever. The rapid emergence of the Internet-of-Things (IoT) based technologies redesigned almost every industry including ‘‘smart agriculture’’ which moved the industry from statistical to quantitative approaches. Such revolutionary changes are shaking the existing agriculture methods and creating new opportunities along with a range of challenges. This article highlights the potential of wireless sensors and IoT in agriculture, as well as the challenges expected to be faced when integrating this technology with the traditional farming practices. IoT devices and communication techniques associated with wireless sensors encountered in agriculture applications are analyzed in detail. What sensors are available for specific agriculture application, like soil preparation, crop status, irrigation, insect, and pest detection are listed. How this technology helping the growers throughout the crop stages, from sowing until harvesting, packing, and transportation is explained. Furthermore, the use of unmanned aerial vehicles for crop surveillance and other favourable applications such as optimizing crop yield is considered in this article. State-of-the-art IoT-based architectures and platforms used in agriculture are also highlighted wherever suitable. Finally, based on this thorough review, we identify current and future trends of IoT in agriculture and highlight potential research challenges.
AI & IoT in the development of smart citiesRaunak Mundada
Smart cities utilize information and communication technologies to improve economic and social well-being while reducing environmental impact. Internet of things (IoT) technologies allow cities to become smart through applications like smart grids, waste management, traffic management, and load forecasting. Artificial intelligence and deep learning techniques can help with load forecasting and optimizing these smart city applications through analyzing real-time sensor data from areas like energy use, transportation, and infrastructure monitoring. The document provides examples of how cities like Barcelona, London, and Singapore are successfully implementing IoT and AI strategies to address challenges from urbanization and improve services.
Arduino and sensors for water level, soil moisture, temperature & relative humidity for application in the ClimaAdapt Project areas - Nagarjuna Sagar Project Left and Right Canals in the States of Telangana and Andhra Pradesh for water use efficiency - Canal and On Farm
Automatic Irrigation System using IoT. IRJET Journal
This document summarizes an academic paper that proposes an automatic irrigation system using IoT (Internet of Things) technology. The system uses sensors to monitor soil moisture levels and sends the data via an Android application to a database. If the soil moisture is low, the system automatically turns on the water pump. The system aims to reduce water loss and the time farmers spend monitoring fields. It was tested successfully in irrigating a plant. Future work could expand it for larger areas of land and integrate additional sensors to monitor soil quality and crop growth.
With the increase in need of water for irrigation, there is also a case where we use more water for irrigation than it’s needed for crops. That results in the wastage of water and causes the problem in the growth of crops. To overcome this problem, this paper puts together a study of a system based on Irrigation using IOT (Internet of things). This system targets on sensing the soil moisture and temperature using the sensors and provide the data to the Thing speak server after which the farmer can decide whether to ON or OFF the pump.
Smart water - a key building block for the smart cityEIP Water
Presentation hold during EIP Water Conference in Porto, as part of the Porto Water Innovation Week in Session 8a “Water and the circular economy, part 3 – cities and water”
Internet of things and wireless sensor networksRonald Mutezo
This presentation discusses the development of a smart irrigation system using Internet of Things (IoT) technology. The objectives were to research IoT and wireless sensor networks, and develop a proof of concept smart irrigation system that could monitor soil moisture levels and automatically activate a water pump when moisture levels dropped below a threshold. The system used soil moisture sensors connected to an Arduino microcontroller with WiFi module that sent sensor data to a cloud monitoring platform called Ubidots. The system was able to successfully activate the water pump when moisture levels were low and deactivate it once soil was rehydrated, demonstrating an effective smart irrigation solution using IoT.
This document discusses how IoT technologies can be applied to smart farming. It describes how sensors, software, connectivity tools, and data analytics can be used to precisely monitor farm conditions and optimize production. Specifically, it explains how precision farming allows customized treatment on a micro-level using tools like sensors to measure soil conditions, humidity, etc. It also discusses applications of IoT in areas like greenhouse automation to control the environment, livestock monitoring to detect health issues early, and use of drones to assess crops and fields.
Automatic Irrigation System is a prototype for a system of irrigation or watering automatically based on the Arduino microcontroller integrated with proximity sensors (Ultrasonic Sensor), the DC motor and the pump using LED indicator lights.
Made by :
Andika Jamal Nurganda 151611004
Putri Sintia Sari 151611021
Rizki Verdian 151611025
Refrigeration and Air Conditioning Engineering
Polytechnic State of Bandung
2016
This document discusses water demand and usage in cities. It notes that while the average person consumes 5-8 liters of water per day, total public water usage is higher due to residential, institutional, industrial, and other uses. It provides details on typical daily water usage for bathing, laundry, flushing toilets, and other household activities. It also lists water requirements for various institutions and industries. Water system losses from leaks are another factor that increases total water demand. Seasonal and daily variations in demand are also discussed.
Technologies available in the field of agriculture making an easy task for the farmers in increasing the productivity and other techniques of irrigation resulting in better use of water resources available.
EcoStruxure, IIoT-enabled architecture, delivering value in key segments.Schneider Electric
The document provides an overview of Schneider Electric's value propositions for key segments including water and wastewater, mining and metals, and food and beverage. It discusses the market trends in these industries and highlights how EcoStruxure solutions can help deliver operational excellence, develop the digital supply chain, and empower the next generation workforce. Specific areas that EcoStruxure addresses are highlighted such as smart manufacturing, smart facilities, smart food safety, and smart supply chain optimization. Partnerships and a focus on strategic accounts are emphasized as important for success.
LEVERAGING BIG DATA FOR INTELLIGENT WATER MANAGEMENTwle-ss
The document discusses how water utilities can leverage big data and artificial intelligence using integrated software from AVEVA and OSIsoft. It describes how their software helps water utilities improve efficiency, optimize assets, ensure safety and quality, and meet regulatory reporting requirements. The software allows utilities to collect data from various sources, store and analyze it in a centralized data hub, and gain insights to improve performance. Case studies show benefits like reducing water loss and deferred capital expenditures.
This document describes an intelligent irrigation system that automatically waters crops based on soil moisture levels without human interference. It uses soil moisture sensors to monitor the water levels in the farm fields. A microcontroller reads the sensor measurements and controls solenoid valves to irrigate the fields as needed. It can also automatically mix and apply pesticides in the proper ratios. The system aims to optimize water usage and eliminate waste from traditional manual irrigation methods.
Water quality monitoring in a smart city based on IOTMayur Rahangdale
The document describes a water quality monitoring system for smart cities using IoT. The system uses sensors to measure parameters like pH and turbidity in water samples. The sensor data is sent to a smartphone application in real-time via an Arduino board, WiFi module, and Blynk software. The smartphone app displays the sensor readings and issues alerts if water quality thresholds are exceeded. The system allows low-cost, automatic, and remote water quality monitoring to help ensure a safe drinking water supply.
Smart irrigation system using internet of thingsBasavaraj Galagi
This document summarizes an IoT-based smart irrigation system presented by students. It uses an Arduino, WiFi module ESP8266, soil moisture sensor, solenoid valve, submersible water pump, and relay switch to automatically control irrigation. The system connects to an MQTT broker to allow remote monitoring and control via a MyMQTT Android app. Users can subscribe to topics and publish messages to turn the system status and devices like pumps on and off from their phone. The ESP8266 module connects sensors and actuators to the internet to implement an IoT-based smart irrigation solution.
This document describes a smart irrigation system using a GSM network. It consists of a soil moisture sensor connected to a microcontroller that controls a water pump. The microcontroller is connected to a GSM module to send SMS alerts. If the sensor detects soil moisture is below a threshold, it triggers the pump and notifies the user by SMS. When moisture reaches the threshold, the pump stops and another SMS is sent. The system aims to remotely monitor soil moisture in real-time and automate watering to conserve water and reduce labor.
complete presentation on Smart Irrigation system using thingspeak technology is mainly helpful for the farmer to monitor the crop fields. Thingspeak is a platform, we can login with our matlab credentials.this system highly used in Mushroom cultivation because Mushroom cultivation is complete done in a perticuler Room, so this system will monitor the room Humidity, temperature, light and AirQuality. the hole process is we can monitor from any where in the world with help of Thingspeak platform.
This document describes an Android-based home automation system that allows users to control home appliances remotely using their Android smartphones. The system uses an Arduino board, WiFi module, relays, and other hardware components installed next to electrical switches to control appliances. An Android app is also described that communicates with the hardware over WiFi to turn appliances on and off from a smartphone. The system aims to make home automation more affordable and convenient, especially for handicapped individuals. It allows entire homes to be controlled centrally from a mobile device.
This document describes a smart irrigation system that uses sensors to measure soil moisture, temperature, humidity and water levels. The system has a transmitter section with sensors that sends the sensor readings via Zigbee modules to a receiver section. The receiver section has a microcontroller that receives the data and sends messages to farmers via GSM if irrigation is needed. The system automatically provides water to crops based on sensor readings to save water and reduce human intervention in agriculture.
Why apply IoT in agriculture? Special aspects to consider for
IoT in agriculture. IoT application in this field.
More information on our website: http://aggregate.tibbo.com/industries/agriculture.html
The document discusses various Internet of Things (IoT) use cases. It begins by noting that there is a wide range of IoT use cases with different requirements. It then lists several example use cases, including smart agriculture, smart cities, smart emergency response, smart environment, smart grid, smart healthcare, smart home/buildings, smart logistics, smart manufacturing, smart research, smart retail, smart spaces, smart transport, and smart water. The document emphasizes that the diverse use cases will require different architectural approaches and that composing use cases for applications like smart grids and smart transport will be necessary for some applications. It also notes that interoperability between use cases will require standards.
This Project and presentation is created by 'Shanjedul Hassan'
ABSTRACT
Despite the perception people may have regarding the agricultural process, the reality is that today’s agriculture industry is data-cantered, precise, and smarter than ever. The rapid emergence of the Internet-of-Things (IoT) based technologies redesigned almost every industry including ‘‘smart agriculture’’ which moved the industry from statistical to quantitative approaches. Such revolutionary changes are shaking the existing agriculture methods and creating new opportunities along with a range of challenges. This article highlights the potential of wireless sensors and IoT in agriculture, as well as the challenges expected to be faced when integrating this technology with the traditional farming practices. IoT devices and communication techniques associated with wireless sensors encountered in agriculture applications are analyzed in detail. What sensors are available for specific agriculture application, like soil preparation, crop status, irrigation, insect, and pest detection are listed. How this technology helping the growers throughout the crop stages, from sowing until harvesting, packing, and transportation is explained. Furthermore, the use of unmanned aerial vehicles for crop surveillance and other favourable applications such as optimizing crop yield is considered in this article. State-of-the-art IoT-based architectures and platforms used in agriculture are also highlighted wherever suitable. Finally, based on this thorough review, we identify current and future trends of IoT in agriculture and highlight potential research challenges.
AI & IoT in the development of smart citiesRaunak Mundada
Smart cities utilize information and communication technologies to improve economic and social well-being while reducing environmental impact. Internet of things (IoT) technologies allow cities to become smart through applications like smart grids, waste management, traffic management, and load forecasting. Artificial intelligence and deep learning techniques can help with load forecasting and optimizing these smart city applications through analyzing real-time sensor data from areas like energy use, transportation, and infrastructure monitoring. The document provides examples of how cities like Barcelona, London, and Singapore are successfully implementing IoT and AI strategies to address challenges from urbanization and improve services.
Arduino and sensors for water level, soil moisture, temperature & relative humidity for application in the ClimaAdapt Project areas - Nagarjuna Sagar Project Left and Right Canals in the States of Telangana and Andhra Pradesh for water use efficiency - Canal and On Farm
Automatic Irrigation System using IoT. IRJET Journal
This document summarizes an academic paper that proposes an automatic irrigation system using IoT (Internet of Things) technology. The system uses sensors to monitor soil moisture levels and sends the data via an Android application to a database. If the soil moisture is low, the system automatically turns on the water pump. The system aims to reduce water loss and the time farmers spend monitoring fields. It was tested successfully in irrigating a plant. Future work could expand it for larger areas of land and integrate additional sensors to monitor soil quality and crop growth.
With the increase in need of water for irrigation, there is also a case where we use more water for irrigation than it’s needed for crops. That results in the wastage of water and causes the problem in the growth of crops. To overcome this problem, this paper puts together a study of a system based on Irrigation using IOT (Internet of things). This system targets on sensing the soil moisture and temperature using the sensors and provide the data to the Thing speak server after which the farmer can decide whether to ON or OFF the pump.
Smart water - a key building block for the smart cityEIP Water
Presentation hold during EIP Water Conference in Porto, as part of the Porto Water Innovation Week in Session 8a “Water and the circular economy, part 3 – cities and water”
Internet of things and wireless sensor networksRonald Mutezo
This presentation discusses the development of a smart irrigation system using Internet of Things (IoT) technology. The objectives were to research IoT and wireless sensor networks, and develop a proof of concept smart irrigation system that could monitor soil moisture levels and automatically activate a water pump when moisture levels dropped below a threshold. The system used soil moisture sensors connected to an Arduino microcontroller with WiFi module that sent sensor data to a cloud monitoring platform called Ubidots. The system was able to successfully activate the water pump when moisture levels were low and deactivate it once soil was rehydrated, demonstrating an effective smart irrigation solution using IoT.
This document discusses how IoT technologies can be applied to smart farming. It describes how sensors, software, connectivity tools, and data analytics can be used to precisely monitor farm conditions and optimize production. Specifically, it explains how precision farming allows customized treatment on a micro-level using tools like sensors to measure soil conditions, humidity, etc. It also discusses applications of IoT in areas like greenhouse automation to control the environment, livestock monitoring to detect health issues early, and use of drones to assess crops and fields.
Automatic Irrigation System is a prototype for a system of irrigation or watering automatically based on the Arduino microcontroller integrated with proximity sensors (Ultrasonic Sensor), the DC motor and the pump using LED indicator lights.
Made by :
Andika Jamal Nurganda 151611004
Putri Sintia Sari 151611021
Rizki Verdian 151611025
Refrigeration and Air Conditioning Engineering
Polytechnic State of Bandung
2016
This document discusses water demand and usage in cities. It notes that while the average person consumes 5-8 liters of water per day, total public water usage is higher due to residential, institutional, industrial, and other uses. It provides details on typical daily water usage for bathing, laundry, flushing toilets, and other household activities. It also lists water requirements for various institutions and industries. Water system losses from leaks are another factor that increases total water demand. Seasonal and daily variations in demand are also discussed.
Technologies available in the field of agriculture making an easy task for the farmers in increasing the productivity and other techniques of irrigation resulting in better use of water resources available.
EcoStruxure, IIoT-enabled architecture, delivering value in key segments.Schneider Electric
The document provides an overview of Schneider Electric's value propositions for key segments including water and wastewater, mining and metals, and food and beverage. It discusses the market trends in these industries and highlights how EcoStruxure solutions can help deliver operational excellence, develop the digital supply chain, and empower the next generation workforce. Specific areas that EcoStruxure addresses are highlighted such as smart manufacturing, smart facilities, smart food safety, and smart supply chain optimization. Partnerships and a focus on strategic accounts are emphasized as important for success.
LEVERAGING BIG DATA FOR INTELLIGENT WATER MANAGEMENTwle-ss
The document discusses how water utilities can leverage big data and artificial intelligence using integrated software from AVEVA and OSIsoft. It describes how their software helps water utilities improve efficiency, optimize assets, ensure safety and quality, and meet regulatory reporting requirements. The software allows utilities to collect data from various sources, store and analyze it in a centralized data hub, and gain insights to improve performance. Case studies show benefits like reducing water loss and deferred capital expenditures.
DIGITAL TRANSFORMATION FOR SUSTAINABILITY & RESILIENCE IN WATER UTILITIESiQHub
Digital transformation through unified operation can help water utilities improve sustainability, resilience, and efficiency. Key benefits include breaking down data silos, predictive operations and maintenance, analytics-based energy management, and maximizing existing assets. Challenges to digital transformation include lack of leadership commitment, organizational silos, and lack of trust in technology solutions. A unified operations approach integrating EcoStruxure solutions can provide benefits like remote monitoring and control, predictive analytics, digital twins, and end-to-end enterprise visibility.
DISCUSSION ON DIGITAL OILFIELD FULL-FIELD OPTIMIZATIONwle-ss
This document summarizes two case studies of companies using the PI System to optimize digital oilfield operations. The first case study describes how Occidental Petroleum used PI System data and analytics to transform their operations from reactive to predictive. The second case study outlines how Eni implemented real-time online modeling of upstream assets using PI System data fed into simulation and optimization algorithms. Both companies leveraged PI System's integrated edge-to-cloud architecture to improve efficiency and reduce costs through predictive analytics.
Energy Engineering & Marketing LTD provides environmental and renewable energy products and services across East Africa. They supply diesel generators and parts under the HIMONISA brand, and offer total environmental solutions including water treatment and renewable energy. They also represent In Situ Inc. by supplying water quality monitoring instruments for applications like groundwater, surface water, and wastewater management.
SMART SEWER NETWORK MONITORING USING IOT AND AIiQHub
1) SpaceAge Labs is a climate tech startup that uses IoT and AI to improve the efficiency and compliance of remote water and wastewater assets through digitalization.
2) The company's remoteEye and hydroEye AI platforms provide real-time monitoring of assets like sewers through wireless sensors to detect issues like blockages or discharges and provide predictive insights.
3) Case studies showed the technology detected over 10 sewer blockages in 12 months for a customer and helped another win a safety award by monitoring water quality and illegal discharges.
IRJET- Automated Water Conservation and Theft Detection using IOTIRJET Journal
The document proposes developing an IoT-based remote water monitoring and theft prevention system using a microcontroller to record flow rates from a flow sensor and control solenoid valves. It reviews existing automated water distribution systems using various sensors and communication protocols. The proposed system would use an Ethernet shield to send sensor data to the cloud and detect water theft by comparing total water usage to amounts distributed.
EDP Renewables operates wind farms globally and sought to improve reporting on turbine availability and reduce downtimes. Their system previously had inconsistent availability definitions from suppliers and lacked comprehensive field data. Working with CGI, they implemented a Wind Energy Management System using the PI System to collect real-time data from all assets. It established standardized availability definitions, measured different availability concepts, and enabled automated and manual validation of data to provide more accurate and reliable reporting. This allows for better prioritization of improvement actions to increase revenues through reduced downtimes.
How Schneider Electric Assures Its Salesforce Lightning Migration with Thousa...ThousandEyes
ThousandEyes webinar from Tuesday September 17th 2019, presented by Archana Kesavan, Director of Product Marketing at ThousandEyes and Anil Sistal, Platform Architect at Schneider Electric on the topic of Schneider Electrics migration to ThousandEyes Synthetic Monitoring for Salesforce Lightning.
ENTERPRISE ASSET MANAGEMENT SYSTEMS APPLICATION TO OPTIMIZE OILFIELD ASSET DATAwle-ss
1. Modern oilfield asset management faces challenges around asset allocation, record keeping, and inventory management due to the large volume and traffic of assets. It also struggles with understanding asset performance and maintenance needs across different downhole conditions.
2. Data analysis and integration with other systems is another key challenge as workflows and reports are not well connected through a single interface, access to information is limited, and no high-level asset performance analysis exists.
3. An effective enterprise asset management system houses all asset data in a simple, accessible structure and provides 24/7 data availability and automated functions. It offers intuitive interfaces and integrates well with other systems to give 360-degree visibility into asset conditions and movements.
This document describes a water level monitoring system that uses sensors placed at different levels in a water storage tank. The sensors detect the water level and send the information to a microcontroller. The microcontroller then displays the water level on an LCD screen and controls a motor and gate mechanism. The system aims to automate water level monitoring to reduce human labor needs and prevent overfilling of the tank. It provides real-time water level information and control of the water flow into and out of the storage tank.
Big Data in the Water Sector - Integrated Water Network Management - IWC's IT...David Kenny
This document discusses the challenges facing water utilities including increasing water consumption, aging infrastructure, and water loss. It presents smart water network solutions from TaKaDu that use big data analytics to detect leaks and other water network issues. TaKaDu's algorithms learn normal network behavior patterns to predict usage and detect anomalies, helping utilities reduce water loss and improve customer service. Real-life examples are given showing how TaKaDu detected leaks and pressure changes using historic and network predictions.
We are delighted to reveal that the 7th Global Leakage Summit will return to London in March 2015. It is the world's premier global summit, to help water utilities develop faster and more efficient leakage management systems, integrated with whole network management and optimisation, smart asset management, and integrated sensor management, that take into account economic levels of leakage, but also reflect the true value of water and supply delivery targets.
In 2015, you will be able to take advantage of several learning opportunities, including pre and post workshops, a two-day informative summit on the latest developments and insight in the industry, and several networking occasions, such as the celebrated Gala Dinner and Evening Drinks Reception.
This document discusses the increasing role of technology in power distribution and moving towards smarter grids. It outlines the existing challenges in distribution such as high losses, unreliable supply, and lack of access. Emerging trends like renewable energy, energy efficiency, and electric vehicles are also discussed. The document then focuses on Tata Power Delhi Distribution Limited, providing an overview and detailing its technology adoption roadmap from 2004-2022 to address challenges through innovations like GIS mapping, automated metering, outage management systems, and more. Key projects underway and in the pipeline are also summarized.
TaKaDu presentation - CIWEM Smart Water Networks Seminar - 4 Dec 2014 - publicDavid Kenny
1. The document discusses monitoring water networks using smart technologies to improve efficiency and address water scarcity issues.
2. It outlines the paradigm shift from old approaches relying on basic monitoring and maintenance to new smarter paradigms using advanced technologies, integrated data sources, and near real-time monitoring to more effectively manage leaks, assets, and water loss.
3. The vision is that smart water networks using big data, cloud computing, and smart analytics can provide benefits like early burst detection and leak notification, improved prioritization and efficiency, and reduced water losses and customer complaints.
This document describes a proposed smart water management system that uses various sensors and an Arduino microcontroller to monitor and control water usage. The system includes flow sensors to measure water usage, water level sensors to monitor tank levels, a GSM module to send data to the cloud for storage and analysis, and a solenoid valve and relay to control water distribution. The system aims to encourage efficient water usage by tracking individual usage and allowing administrators to manage supply. It provides real-time tank level information on an LCD display and automatically shuts off water flow if usage limits are exceeded to prevent waste. Data on usage is sent to a cloud server using the GSM module for remote monitoring of supply and demand.
Technical communication of automation control system in water treatment planthunypink
This paper presents technical communication of automation industry which describes the technical issues of
automation control system in operation development, improving management level and high efficiency process in water treatment system. Today’s water treatment plants are applied for water conservancy projects, emerged by the technology of automation control system is to ensure safe, continues, high quality water supply to municipal and for multi-purpose usage. Along with automation technology, computer technology, network communication development, advanced water treatment monitoring system is realized in Nantong pengyoa water purification plant. The Nantong pengyoa water purification plant has an important beneficial industry relationship to People’s Republic of China improving living status and environment condition mainly expounds the water supply, to build well-off society, comparatively improving the labor production growth & level of implementation of targets as well as high water quality requirements. In this paper, it develops the task and tells the technical solutions of water treatment plant which has been centralized in fully automated operation in some developed industries since many years. And also append short description of its current practices such as networking, and real-time monitoring control, composition & structure, process flow and automatic process control which are performed in water treatment plants to achieve high efficiency in quality of productivity.
Rimon has been operating in Israel since 1996 and has established subsidiaries and projects worldwide focused on water infrastructure. The company's expertise includes water treatment, marginal water reuse systems, and gas/energy infrastructure. Rimon has experience initiating, designing, constructing, operating and financing various water infrastructure projects such as treatment plants, pipelines, and storage reservoirs. It currently operates over 10 wastewater reclamation projects and provides solutions for municipal, agricultural, and industrial water needs.
Big Data LDN 2018: DELIVERING ON THE OPERATIONAL DATA WAREHOUSE PROMISEMatt Stubbs
Date: 14th November 2018
Location: Data Ops Theatre
Time: 11:10 - 11:40
About: In this presentation, Pradeep will share examples of organizations that have realized the promise of the Operational Data Warehouse (ODW) to deliver real-time insights to drive business value. Pradeep will share examples that span financial reporting, retail, stock market and clinical trial data. Christophe Daguin will discuss how one of Expandium’s customers, who is a large mobile operator manages their Quality of Service (QoS) for 20 million subscribers who generate 5 billion transactions per day that are managed in their Actian Vector analytic database.
Generative Classifiers: Classifying with Bayesian decision theory, Bayes’ rule, Naïve Bayes classifier.
Discriminative Classifiers: Logistic Regression, Decision Trees: Training and Visualizing a Decision Tree, Making Predictions, Estimating Class Probabilities, The CART Training Algorithm, Attribute selection measures- Gini impurity; Entropy, Regularization Hyperparameters, Regression Trees, Linear Support vector machines.
Build applications with generative AI on Google CloudMárton Kodok
We will explore Vertex AI - Model Garden powered experiences, we are going to learn more about the integration of these generative AI APIs. We are going to see in action what the Gemini family of generative models are for developers to build and deploy AI-driven applications. Vertex AI includes a suite of foundation models, these are referred to as the PaLM and Gemini family of generative ai models, and they come in different versions. We are going to cover how to use via API to: - execute prompts in text and chat - cover multimodal use cases with image prompts. - finetune and distill to improve knowledge domains - run function calls with foundation models to optimize them for specific tasks. At the end of the session, developers will understand how to innovate with generative AI and develop apps using the generative ai industry trends.
We are pleased to share with you the latest VCOSA statistical report on the cotton and yarn industry for the month of March 2024.
Starting from January 2024, the full weekly and monthly reports will only be available for free to VCOSA members. To access the complete weekly report with figures, charts, and detailed analysis of the cotton fiber market in the past week, interested parties are kindly requested to contact VCOSA to subscribe to the newsletter.
33. Impact of Data Driven Decision on
Performance:
Schedule and duration adherence is improved > 90%
150 LPCD supplied as per standards
Actual water supply which was 24 MGD before
installation improved to 33 MGD within couple of months
with net 9 MGD increase
36. Processor : 32 bit ARM
ADC Resolution : 16 bit or better
Conversion Accuracy : ± 1 LSB
Operating Temperature : -40°C to + 60°C
Internal Memory : 2GB SD Card (expandable up to 8GB)
Battery Backup (internal) : Lithium Battery.
Real-Time Clock : Internal, GPS synchronized
Watchdog Timer : System Reset upon system abnormalities
Sample Intervals : 1 sec. to 24 hr. in 1 second increments (user selectable)
Visual display : 16x2 Back-lit Alpha numeric LCD
User Interface Key pad : 16x2 Back-lit Alpha numeric LCD
Power consumption : < 0.5 A at 12V D.C. (Comm. Sleep Available)
Data transfer modes : RS232 / 485 / GSM / GPRS
Sensor Interfacing Ports
: RS 232 / 485-4 Nos.
: Digital Inputs: 8 Nos.
: Frequency: 4 Nos.
: Analog Voltage / Current / 4-20mA
: Channels 12 Nos. (Single ended) or 6 Nos. (Differential)
Time Sync : GPS Time Sync.
Data backup retrieval : USB2.0 / through laptop using RS232
Housing : Dust & Water proof as per IP54
Dimensions : 185mm x 115mm x 70mm (l x b x h)
IOT Edge Device
37. Flow Sensor Type Pulse DC excitation
System Separate with cable output
Power Supply 230VAC, 50 Hz
End Connection CS Flanges
Flange Rating CS, PN10
Electrode SS 316
Electrode type Round Head Electrodes
Meter Tube Equivalent to SS 304
Liner Hard Rubber
Coil Housing SS 316 with *fully welded construction
Protection category IP 67
Earthing Grounding Rings
Accuracy
±0.5 % of MV inclusive of linearity, repeatability,
pressure effects and hysteresis
Marking Flow direction with arrow
EM Flow sensors
38. Transducer
Application Clean Liquids of TSS less than 2%
Liquid temperature -40ᵒC to 120 ˚C
Pipe size range 25 - 4570 mm
Transducer type Clamp On / Insertion type
Flow Transmitter
Principle
Principle of Transit Time, DSP and Multi pulse
Transducer Technology
Power 24 VDC
Velocity range 0.03 to 12 m/sec
Outputs Isolated 4-20mA Pulse output for totalizer
Display 4 line * 8 character
Totalizer Forward, reverse and net totalizer
Enclosure NEMA 4X (IP65)
Enclosure Material Poly Carbonate SS Brass and plated steel
Accuracy +/- 1 % of full scale
Repeatability +/- 0.2%
Approvals Any standard approval
Ultrasonic Flow
39. General
Service water applications
Accuracy of measuring loop + 0.5% of full scale
Process connections Compression Flange range material
Process Temperature -40ᵒC to +80ᵒ C
Process Pressure 0.3 to 2 bar
Sensor
Type Ultrasonic
Range 0-10 m.
Output To be connected to level transmitter
Weather protection class IP 67 as per IS 13947 part 1
Mounting From top of reservoir, tank
Mounting nozzle Required
Transmitter
Type Microprocessor based (indicating type)
Power 24 VDC
Output Isolated 4-20 mA with 5 μA resolution.2 SPDT relays.
Weather protection class IP 67 as per IS 13947 part 1
Programming facility with Programmer Required
Type of display 7 segments, LED to display l from 0.00 to 9.99m
Span and zero adjustment Provided
Ultrasonic Level
40. Principle Amperometric Chlorine Analyzer (for measuring residual chlorine )
Range 0-5 PPM
Compensation Automatic temperature compensation.
Response time < 2mins
Resolution 0.01PPM
Accuracy +/- 2% of indicated value
Water inlet pressure 0.15 - 1 bar at inlet
Water consumption Not more than 50 Kl/h
Operating Temperature 0ᵒ C -45ᵒ C
Mounting PVC
Power range 24 VDC
Display backlit LCD
User interface Key pad
Output 4-20mA 2 SPDT relays
Operating temperature -0ᵒ C to +55ᵒ C
System health
indication
Required.
Housing
Conductive plastic to DIN43 700, base material ABS, with plug-in
controller module
Chlorine Analyzer
41. COD,BOD,TSS METHOD COD-BOD-SS : UV Vis Absorption
pH : Potentiometric with combination sensor
RANGE CX1000-3922:
COD : 0-800 mg/L
BOD : 0-400 mg/L
TSS : 0 -750 mg/L
PH : 0 – 14 pH
TYPE Advanced Microprocessor Based System
PROGRAMMING User defined , freely programmable, menu prompt, two
level password protected
OPERATION Reagent & Chemical free Analysis
OPERATION CYCLE Continuous or Batch Type mode
CLEANING Automatic built-in cleaning function. User programmable
ACCURACY ± 5% of F.S.
DISPLAY TYPE Digital Alpha Numeric Display 240 x 128 Pixels LCD with
Backlit
GRAPHICAL ANALYSIS Graphical trend Analysis, time based.
KEYPAD Touch Screen Type
RESPONSE TIME Less than 15 seconds
MEASURING CYCLE TIME Freely Programmable / Normally 3-5 min.
ANALOG OUTPUT Four Analog Outputs; 4-20 mA. DC, Isolated
DIGITAL OUTPUT RS485 MODBUS output
42. Make & Model Global Water - WQ201
Range 0 to 14pH
Accuracy 2%FS
Output 4-20mA
Operating Voltage 10 to 30 VDC
Operating Temperature -5 to +55°C
Warm-up Time 3 seconds
pH Sensor
43. Make & Model Global Water - WQ-COND
Range 0 to 100 nephelometric turbidity units(NTU)
Accuracy
± 2% of reading or
± 0.015 NTU from 0 to 40 NTU
± 5% of reading from 40 to 100 NTU
Repeatability ± 1.0% of reading or ± 0.002 NTU, whichever is greater
Sample Flow Required 200 to 750mL/minute
Operating Voltage 100-230 Vac, 50/60 Hz, auto selecting; 40 VA
Operating Temperature 0 to +50°C
Operating Humidity 5 to 95%RH
Response Time 15seconds
Turbidity Analyser
44. Module application LT/HT
Voltage input AC Vrms (Line to Neutral)
Current Input Current is sensed through the CTs
Frequency 45 - 55Hz
Accuracy Class 1
Working Load range 10% to 20%
Measuring Method
3 Phase 4 wire/ 3 wire, 1 Phase 2
wire
Communication RS485
Auxiliary power supply 24VDC
Operating Temperature -10 °C to +65 °C
Energy Monitoring Unit
45. Processor Intel Core i7, 2.8 GHz or higher
Memory 4 GB
Hard Drive 500 GB
Optical Drive DVD writer
Ports Two (2) No’s serial port, 4 USB Ports
Network Card Two (2) No’s Gigabit Ethernet ports
Key board USB Keyboard
Mouse USB Mouse
VGA Ports 2 No’s ( VGA/DVI/DP/HDMI)
Monitor 32” TFT Monitor
Operating System Windows 7 or 10 Professional (Licensed version)
Security Software Kaspersky antivirus (Licensed version)
SYSTEM Make HP/DELL
Printer HP LaserJet 1020 or similar
UPS
1KVA offline UPS for 30 min backup for above system load
(Only for CPU)
UPS Make Numeric / Emerson
Central Server
46. • PowerEdge R720 Server
• Intel Xeon E5-2643v2 3.5GHz, 25M Cache, 8.0GT/s QPI, Turbo, HT, 6C, 130W, Max Mem
1866MHz
• 25M Cache
• 4* 4GB Memory (1x4GB) 1333MHz Single Ranked LV RDIMMs (Support SDDC in
Optimized Mode)
• 4* 600GB 3.5-inch 15K RPM,6Gbps SAS Hot Plug Hard Drive
• PERC H710 Integrated RAID Controller, 512MB NV Cache, Mini-Type
• Dual, Hot-plug, Redundant Power Supply (1+1), 1100W
• Redundant Power Supply (1+1), 1100W
• DVD+/-RW ROM, SATA, Internal
• Dell(TM) KB212-B USB Entry Business Keyboard
• Dell(TM) MS111 USB Optical Mouse
• Windows Server 2012R2 Standard Edition, Factory Installed, No Media, 2 Socket, 2
VMs,NO
High End Server