Gas Leak Detection and Localization System Through ...petros/pubs/CCNC2014_1p.pdf · Gas Leak...
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The system consists of the following modules: 1 - Stationary nodes Stationary nodes are placed in the monitoring area. Each stationary node know its location. These nodes exchange location information between them and the mobile nodes. Figure 2 shows the stationary nodes of our system. The stationary nodes are powered up with 3 AA batteries. 2- Mobile nodes Mobile nodes are prototypes [4] that has a sensor and a radio component. The sensor component can monitor the area around the board and pass all the data to the radio component. The radio component can transmit all the data to a control room for processing. Any number of mobile prototypes can monitor different areas simultaneously. Each mobile prototype is powered with one 9V battery. Figure 3 shows the mobile nodes. 3- Control room The control room is a remote server that can process the data from the mobile prototype. A Graphical User Interphase (GUI) has been created, shown in Figure 3, to display the location of the mobile prototype. Figure 4 shows the demonstration set up. Gas Leak Detection and Localization System Through Wireless Sensor Networks Petros Spachos 1 , Liang Song 2 ,Dimitrios Hatzinakos 1 1 The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada, 2 Dept. of Computer Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China Petros Spachos Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada Email: [email protected] Website: http://www.comm.utoronto.ca/~petros Contact 1.Canadian centre for occupational health and safety. Indoor Air Quality, July 2013. 2.AppliedSensor – iAQ 2000, https://www.appliedsensor.com. 3.OMESH Networks - OPM15, http://www.omeshnet.com/. 4.P. Spachos, L. Song, D. Hatzinakos, "Prototypes of opportunistic Wireless Sensor Networks supporting indoor air quality monitoring“, Consumer Communications and Networking Conference (CCNC), 2013 IEEE , Jan. 2013 References In this demonstration we use a prototype wireless sensor node to build a Wireless Sensor Network (WSN) to monitor and locate gas leaks of a complex indoor environment. Specifically, a mobile node is moving inside a building to monitor any leakage of carbon dioxide (CO 2 ), supporting and displaying the level and the location of the leakage. Abstract Introduction System overview This work demonstrates a gas leak detection system with real time location system based on WSNs. Due to its exibility a gas monitoring system along with an accurate indoor location system can be deployed in buildings, shopping malls, mining tunnels, hospitals, and a number of other applications. Conclusions Indoor air quality (IAQ) has become an important health and safety concern. Common issues associated with IAQ include improper or inadequately maintained heating and ventilation systems as well as contamination by construction materials, fibreglass, particle boards, paints, chemicals, etc. [1]. Air quality can be expressed by the concentration of several pollutants such as carbon monoxide (CO), carbon dioxide (CO 2 ), tobacco smoke, perfume, sulphur dioxide, nitrogen dioxide, and ozone. IAQ problems are higher in indoor infrastructures such as houses, offices and schools. Some of these pollutants can be created by indoor activities such as smoking and cooking. The development of an accurate monitoring system for IAQ is of great interest. WSNs can alleviate the problem. In a complex indoor environment a number of gas detection sensors can be deployed to monitor the air quality. Their deployment would have the least impact on the existing infrastructure and with low cost. In this work, we use the technology of cognitive networking along with opportunistic routing to introduce a gas leak detection and localization system through a WSN. We develop a gas leak monitoring board, Figure 1, which consists of an iAQ-2000 sensor [2], an OPM15 Mesh Radio [3] and is powered with one 9V battery. Figure 1. Gas leak monitoring board. Figure 2. Stationary nodes. Figure 3. Mobile nodes. Figure 4. Graphical user interface. Figure 5. Demonstration setup.
Transcript of Gas Leak Detection and Localization System Through ...petros/pubs/CCNC2014_1p.pdf · Gas Leak...
The system consists of the following modules:
1 - Stationary nodes
Stationary nodes are placed in the monitoring area. Each stationary node know its location. These nodes exchange location information between them and the mobile nodes. Figure 2 shows the stationary nodes of our system. The stationary nodes are powered up with 3 AA batteries.
2- Mobile nodes
Mobile nodes are prototypes [4] that has a sensor and a radio component. The sensor component can monitor the area around the board and pass all the data to the radio component. The radio component can transmit all the data to a control room for processing. Any number of mobile prototypes can monitor different areas simultaneously. Each mobile prototype is powered with one 9V battery. Figure 3 shows the mobile nodes.
3- Control room
The control room is a remote server that can process the data from the mobile prototype. A Graphical User Interphase (GUI) has been created,shown in Figure 3, to display the location of the mobile prototype. Figure 4shows the demonstration set up.
Gas Leak Detection and Localization System Through Wireless Sensor NetworksPetros Spachos 1, Liang Song 2,Dimitrios Hatzinakos 1
1The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, Canada, 2Dept. of Computer Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China
Petros SpachosDepartment of Electrical and Computer Engineering, University of Toronto, Toronto, Canada
Email: [email protected]: http://www.comm.utoronto.ca/~petros
Contact
1.Canadian centre for occupational health and safety. Indoor Air Quality, July 2013.2.AppliedSensor – iAQ 2000, https://www.appliedsensor.com. 3.OMESH Networks - OPM15, http://www.omeshnet.com/.4.P. Spachos, L. Song, D. Hatzinakos, "Prototypes of opportunistic Wireless Sensor Networks supporting indoor air quality
monitoring“, Consumer Communications and Networking Conference (CCNC), 2013 IEEE , Jan. 2013
References
In this demonstration we use a prototype wireless sensor node to build a Wireless Sensor Network (WSN) to monitor and locate gas leaks of a complex indoor environment.
Specifically, a mobile node is moving inside a building to monitor any leakage of carbon dioxide (CO2), supporting and displaying the level and the location of the leakage.
Abstract
Introduction
System overview
This work demonstrates a gas leak detection system with real time location system based on WSNs.
Due to its exibility a gas monitoring system along with an accurate indoor location system can be deployed in buildings, shopping malls, mining tunnels, hospitals, and a number of other applications.
Conclusions
Indoor air quality (IAQ) has become an important health and safety concern. Common issues associated with IAQ include improper or inadequately maintained heating and ventilation systems as well as contamination by construction materials, fibreglass, particle boards, paints, chemicals, etc. [1].
Air quality can be expressed by the concentration of several pollutants suchas carbon monoxide (CO), carbon dioxide (CO2), tobacco smoke, perfume, sulphur dioxide, nitrogen dioxide, and ozone.
IAQ problems are higher in indoor infrastructures such as houses, offices and schools. Some of these pollutants can be created by indoor activities such as smoking and cooking. The development of an accurate monitoring system for IAQ is of great interest.
WSNs can alleviate the problem. In a complex indoor environment a number of gas detection sensors can be deployed to monitor the air quality. Their deployment would have the least impact on the existing infrastructure and with low cost.
In this work, we use the technology of cognitive networking along with opportunistic routing to introduce a gas leak detection and localization system through a WSN. We develop a gas leak monitoring board, Figure 1, which consists of an iAQ-2000 sensor [2], an OPM15 Mesh Radio [3] and is powered with one 9V battery.
Figure 1. Gas leak monitoring board.
Figure 2. Stationary nodes.
Figure 3. Mobile nodes.
Figure 4. Graphical user interface.
Figure 5. Demonstration setup.
