RESEARCH ON INDOOR ENVIRONMENT DETECTION TECHNOLOGY BASED ON CHANNEL STATE INFORMATION
Indoor air quality is one of the issues that people are widely concerned about,but how to realize the comprehensive monitoring of indoor air has always been a difficult problem for us.Both traditional surveillance cameras and optical sensor systems are faced with the problem of not covering the detection area in all aspects.Based on the above social background,this paper innovatively designed a system that uses the existing commercial Wi-Fi network to conduct real-time perceptual monitoring of the indoor environment.Based on the current situation of indoor environment detection technology,the experimental method and machine learning algorithm model of related indoor environment detection technology are summarized.By studying the effects of different pollution grades on indoor static CSI signals,the precise classification of indoor pollution was achieved.
channel status informationindoor environmentCSI technologypollution classification
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