Abstract
According to the report “Global Health Risks of 2004” issued by WHO (World Health Organization) in Geneva 2009 (WHO, 2012), the mortality rate of the diseases and cause of death which results from the smoke produced by burning solid fuel is ranked tenth, occupying 3.3% of the global amounts, and the DALYs (Disability Adjusted Life Years) is ranked the ninth, occupying 2.7% of the world. Once the pollution occurred in an insufficient ventilation location, the womankind and children will be the most directly affected; therefore, we hoped to focus the measurement environment on indoor surroundings in this paper. This paper proposes a pointing at several kinds of indoor pollutants and integrating multigas sensors, which includes carbon monoxide, carbon dioxide total volatile organic compounds, and so forth. Our paper combines gas sensors with WSN (Wireless Sensor Networks) nodes; we provide users with optional monitoring subjects for constructing and also adapt ZigBee and Wi-Fi modules to get united with uploading real-time sensor messages. Moreover, for the reason of decreasing installation cost of sensors and setting up easily, this paper builds a cloud data-viewing platform additionally, enabling users to observe air quality through the cloud server everywhere.
Highlights
Though the technology progress is in thriving and robust, human’s overexploitation results in natural disasters to happen frequently; it is an extreme threaten to our living environment, so that awareness of environmental protection is rising recently, and the environmental protection issues get much more attention; one of them is air pollution
WSN has been used in various environmental monitoring systems, many papers proposed about air pollution and other applications, such as forest fires monitoring, temperature and humidity monitoring in agriculture, and monitoring comprehensive air pollutions emitted by vehicles in urban
Even though the resulting voltage shave some differences between each other, it still can be figured out from the testing result that all of the sensors reacting curves are the same as direct-reading instrument; if it is going to be used in air quality monitoring system, the alert function for user can be developed by these reacting curves
Summary
Though the technology progress is in thriving and robust, human’s overexploitation results in natural disasters to happen frequently; it is an extreme threaten to our living environment, so that awareness of environmental protection is rising recently, and the environmental protection issues get much more attention; one of them is air pollution. Except for common respiratory tract diseases, there is another illness called “Sick Building Syndrome,” usually taking place in large building with air condition, but the syndrome only appears when employee stays in office, including dizziness, coughing, and dry-feeling; they will ease after leaving [1]. They are caused by exposure of the high CO2 concentration causes for a long time [2]. This research combines several gas sensors with ZigBee-based WSN (Wireless Sensor Networks) nodes, called Super Node, which transfers sensor data to the ZigBee-Wi-Fi gateway; it will be computed in the ISRN Sensor Networks cloud server with a cloud viewing platform providing users for instant monitoring
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