Abstract
The current air quality detector mainly detects the PM2.5, temperature and humidity of the environment at a single point, and the official website data is also a large range of regional data. The traditional cable transmission and wiring is complex, limited by the environment and high cost. In this paper, a data service air quality detection system based on light scattering sensor is proposed, which can detect PM2.5, temperature and humidity, and upload data to the Internet of things platform for real-time analysis and historical data statistics. It can also upload data to the Internet of things platform for real-time analysis and historical data statistics. The system collects three kinds of sensor modules to monitor indoor air environment in real time. Monitoring data is sent to mobile terminal equipment or PC terminal through WiFi. Its historical data can be viewed and called for data statistics through mobile phones. The system is stable and convenient to use. The paper also studies the detection characteristics and improvement methods of light scattering sensor.
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