Abstract
A smart home environment monitoring system based on cloud platform and Android client is proposed to improve the convenience of people's daily life. The multi-sensor node information fusion method is used to analyze the output characteristics of data in different indoor environments, which is on the basis of the back propagation neural network. The intelligent gateway is constructed by sensors, singlechip and wireless modules, which is connected with the cloud platform by LoRa and WiFi, and then, the wireless communication and remote control are realized. The environmental data and change curve are displayed by App and the real-time air quality index is given. The test results show that the accuracy of CO2 and PM2.5 concentrations is up to 98% and the changing value can be displayed to users with curves, so that the environmental conditions can be understood conveniently and timely.
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This work was supported by Tianjin Research Innovation Project for Postgraduate Students under grant No. ZX21014.
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Yu, S., Dong, L., Pang, F. (2023). Study of Smart Home Environment Monitoring System Based on Cloud Platform and Android. In: Liang, Q., Wang, W., Liu, X., Na, Z., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2022. Lecture Notes in Electrical Engineering, vol 873. Springer, Singapore. https://doi.org/10.1007/978-981-99-1260-5_15
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DOI: https://doi.org/10.1007/978-981-99-1260-5_15
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