Abstract: Using empirical analysis, conventional air automatic monitoring system has high precision, but large bulk, high cost, and single datum class make it impossible for large-scale installation. Based on introducing embedded system into the field of environmental protection, this project puts forward a kind of real-time air pollution monitoring and forecasting system. By using embedded, this system can reduce the hardware cost into 1/10 as before. The system can be laid out in a large number in monitoring area to form monitoring sensor network. Besides the functions of conventional air automatic monitoring system, it also exhibits the function of forecasting development trend of air pollution within a certain time range by analysing the data obtained by front-end perception system according to neural network technology. Targeted emergency disposal measures can be taken to minimize losses in practical application.
Keywords — nodeMCU, MQ135, DHT11, MQ5
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DOI:
10.17148/IJARCCE.2021.105155
