1. The document discusses implementing an Internet of Things (IoT) system for monitoring environmental conditions in homes using low-cost smart sensors.
2. It describes the integrated network architecture that allows sensors to reliably measure parameters and transmit data via the internet.
3. Test results showed the sensing information transmission reliability through the proposed network was 97%.
In this presentation, Divya introduces the topic of IoT and associated trends. Her interest area lies implementing disaster recognition systems using IoT to reduce the loss of life and property.
AI and Machine Learning for the Connected Home with Stephen GalsworthyDatabricks
Quby is the creator and provider of Toon, a leading European smart home platform. We enable Toon users to control and monitor their homes using both an in-home display and app. As a data driven company, we use AI and machine learning to generate actionable insights for our end users. Using the data we collect via our IoT devices we have introduced multiple data driven services, including an energy waste checker and a boiler monitoring service. In this talk, Stephen will describe how AI and machine learning are implemented on the Toon platform, and will show multiple AI use cases relating to the connected home. We’ll take a look at how Deep Learning algorithms are used to detect inefficient appliances from electricity meter data and how streaming algorithms allow users to be alerted to anomalies with their heating systems in near real-time. Stephen will share the experiences from the Data Science and Data Engineering teams at Quby with bringing data science algorithms from R&D to production and the lessons learned in offering multiple data driven services to hundreds of thousands of users on a daily basis.
In this presentation, Divya introduces the topic of IoT and associated trends. Her interest area lies implementing disaster recognition systems using IoT to reduce the loss of life and property.
AI and Machine Learning for the Connected Home with Stephen GalsworthyDatabricks
Quby is the creator and provider of Toon, a leading European smart home platform. We enable Toon users to control and monitor their homes using both an in-home display and app. As a data driven company, we use AI and machine learning to generate actionable insights for our end users. Using the data we collect via our IoT devices we have introduced multiple data driven services, including an energy waste checker and a boiler monitoring service. In this talk, Stephen will describe how AI and machine learning are implemented on the Toon platform, and will show multiple AI use cases relating to the connected home. We’ll take a look at how Deep Learning algorithms are used to detect inefficient appliances from electricity meter data and how streaming algorithms allow users to be alerted to anomalies with their heating systems in near real-time. Stephen will share the experiences from the Data Science and Data Engineering teams at Quby with bringing data science algorithms from R&D to production and the lessons learned in offering multiple data driven services to hundreds of thousands of users on a daily basis.
Wireless sensor network plays vital role in today’s life, it is a collection of sensors that are scattered in different directions which are further used to control and measure the physical conditions of environment as well as to organize to the data somewhere at centre location. As in context of greenhouse we can measure various parameters such as temperature, humidity, water level, insect monitoring and light intensity.
Smart Home Management System Using Wireless Sensor Network (WSN)paperpublications3
Abstract: Nowadays, shortage of electricity is a very serious problem due to insufficient production. The wastage of electricity can be avoided by switching off the electrical appliances when not in use. This can be achieved by using Smart home system which automatically turns off loads when not in use, the system can save energy in homes and offices. The system will automatically switch off based on the presence of people at home. Another major issue is that there might be occurrence of theft when nobody is present at home. The theft can be avoided by using MEMS accelerometer which intimates the user through registered mobile number when there is an unexpected break of windows or door through the GSM modem. The system in addition also has a provision for the user to fix energy consumption reading and when the user consumption exceeds a fixed reading, a message would be sent to the users registered mobile number through the GSM modem. Applications for this system include workstations, open office cubicles, home offices, and home entertainment systems.
Temperature control of the indoor environment is important for comfort. Its goal is to provide thermal comfort and acceptable indoor air quality.
Internet-connected heating and cooling systems have the ability to continuously monitor heating conditions and system functionality with the help of smart sensors. The user can create many different weekly temperature schedules and control multiple thermostats (in the same house or off-site locations) from a single app.
Discovering Joomla! - Find out about Joomla's featuresRuth Cheesley
Want to know more about Joomla! - one of the most popular Content Management Systems in the world? This presentation walks you through some of the key features in the latest version of Joomla, and some of the aspects of the community.
Wireless sensor network plays vital role in today’s life, it is a collection of sensors that are scattered in different directions which are further used to control and measure the physical conditions of environment as well as to organize to the data somewhere at centre location. As in context of greenhouse we can measure various parameters such as temperature, humidity, water level, insect monitoring and light intensity.
Smart Home Management System Using Wireless Sensor Network (WSN)paperpublications3
Abstract: Nowadays, shortage of electricity is a very serious problem due to insufficient production. The wastage of electricity can be avoided by switching off the electrical appliances when not in use. This can be achieved by using Smart home system which automatically turns off loads when not in use, the system can save energy in homes and offices. The system will automatically switch off based on the presence of people at home. Another major issue is that there might be occurrence of theft when nobody is present at home. The theft can be avoided by using MEMS accelerometer which intimates the user through registered mobile number when there is an unexpected break of windows or door through the GSM modem. The system in addition also has a provision for the user to fix energy consumption reading and when the user consumption exceeds a fixed reading, a message would be sent to the users registered mobile number through the GSM modem. Applications for this system include workstations, open office cubicles, home offices, and home entertainment systems.
Temperature control of the indoor environment is important for comfort. Its goal is to provide thermal comfort and acceptable indoor air quality.
Internet-connected heating and cooling systems have the ability to continuously monitor heating conditions and system functionality with the help of smart sensors. The user can create many different weekly temperature schedules and control multiple thermostats (in the same house or off-site locations) from a single app.
Discovering Joomla! - Find out about Joomla's featuresRuth Cheesley
Want to know more about Joomla! - one of the most popular Content Management Systems in the world? This presentation walks you through some of the key features in the latest version of Joomla, and some of the aspects of the community.
Los usos en la ciudad, su complejidad y diversidad. El valor de la posición, la visibilidad, la tensión espacial y el acceso. El funcionamiento en red de los usos.
Produced for the Bachelor of New Media Arts core subject: NM1000 Introduction to New Media. The course provides an overview of communication technologies and art pro
2013 PLSC Track, Hydrographic Surveying and GIS by Carlos CaceresGIS in the Rockies
This presentation is to inform the audience about hydrographic surveying done at Denver Water’s reservoirs. In this presentation, I will show how we collect, process, and use the data. I will discuss the software used such as Hypack software, AutoCAD Civil 3D, and most importantly ArcGIS. We are able to map the depths of the reservoirs to determine water volumes that will be used by Water Recourses Analysis Division.
DESIGN AND IMPLEMENTATION OF IOT BASED SMART POWER MONITORING AND MANAGEMENT ...ijesajournal
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.
Design and Implementation of IOT Based Smart Power Monitoring and Management ...ijesajournal
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.
IOT in Electrical & Electronics EngineeringLokesh K N
The evaluation of the IOT in the electrical power industry transformed the way things performed in usual manner. IOT increased the use of wireless technology to connect power industry assets and infrastructure in order to lower the power consumption and cost. The implementation of IoT in power system must rely on the line monitoring and real-time control in all aspects of the grid operating parameters, and the basic characteristics are grid information, communication, and automation.
Investigation of Internet of Things
The interconnection via the Internet of computing devices embedded in everyday objects, enabling them to send and receive data.
Nowadays there is a brief usage and dependability of pulsating features of the smart devices. So there is a need of connecting these devices through internet to explore their functionality. In the world of Smart homes there exists different systems but failed to provide many functionalities like controlling the devices remotely, overhead in communication, and energy efficiency. This paper delivers the solution to the constraint of the existing systems. The monitoring and controlling of smart organized homes environmental and safety parameters a Wi-Fi based WSN system is designed. A lightweight MQTT protocol is used for interactions between devices and user. The user can flawlessly control and monitor the devices via Android Application using a Graphical User Interface (GUI) remotely.
Nowadays there is a brief usage and dependability of pulsating features of the smart devices. So there is a need of connecting these devices through internet to explore their functionality. In the world of Smart homes there exists different systems but failed to provide many functionalities like controlling the devices remotely, overhead in communication, and energy efficiency. This paper delivers the solution to the constraint of the existing systems. The monitoring and controlling of smart organized homes environmental and safety parameters a Wi-Fi based WSN system is designed. A lightweight MQTT protocol is used for interactions between devices and user. The user can flawlessly control and monitor the devices via Android Application using a Graphical User Interface (GUI) remotely
Similar to Towards the implementation of io t for environmental condition monitoring in homes (20)
Towards the implementation of io t for environmental condition monitoring in homes
1. TOWARDS THE IMPLEMENTATION OF IOT FOR
ENVIRONMENTAL CONDITION MONITORING IN HOMES
ABSTRACT
In this paper, we have reported an effective implementation for Internet of Things
used for monitoring regular domestic conditions by means of low cost ubiquitous sensing
system. The description about the integrated network architecture and the interconnecting
mechanisms for reliable measurement of parameters by smart sensors and transmission of
data via internet is being presented. The longitudinal learning system was able to provide
self-control mechanism for better operations of the devices in monitoring stage. The
framework of the monitoring system is based on combination of pervasive distributed sensing
units, information system for data aggregation, reasoning and context awareness. Results are
encouraging as the reliability of sensing information transmission through the proposed
integrated network architecture is 97%. The prototype was tested to generate real-time
graphical information rather than a test bed scenario.
EXISTING SYSTEM
With the advancements in Internet technologies and Wireless Sensor Networks
(WSN), a new trend in the era of ubiquity is being realized. Enormous increase in users of
Internet and modifications on the internetworking technologies enable networking of
everyday objects. “Internet of Things (IoT)” is all about physical items talking to each other,
machine-to-machine communications and person-to-computer communications will be
extended to “things”. Key technologies that will drive the future IoT will be related to Smart
sensor technologies including WSN, Nanotechnology and Miniaturization.
Humans usually inside their home interact with the environment settings like light,
air, etc., and regulate accordingly. If the settings of the environment can be made to respond
to human behavior automatically, then there are several advantages. The automation of home
settings to act according to the inhabitant requirements is termed as intelligent home
automation system. Ambient intelligence responds to the behavior of inhabitants
2. PROPOSED SYSTEM
This paper illustrates an effective low-cost and flexible solution for condition
monitoring and energy management in home. The basic operations include remote
management and control of domestic devices such as electric lamp; water heater etc.,
unobtrusive monitoring of domestic utilizations and providing ambient intelligence to reduce
the energy consumption through IoT technology are the key functions of the developed
system. This will support and reschedule the inhabitant operating time according to the
energy demand and supply. The novelty of the system is the internetworking mechanisms,
which are practicable to integrate with co-modules like intelligent home monitoring systems
for wellness determination of inhabitants.
SOFTWARE REQURIMENT
1. Keil IDE
2. Flash magic
3. Monitor
4. Keyboard
5. Mouse
HARDWARE REQURIMENT
1. Microcontroller
2. GPRS/GSM module
3. Zigbee
4. Sensors (temperature, current)