Air pollution monitoring system based on NB-IoT and edge computing

Abstract

The invention discloses an air pollution monitoring system based on NB-IoT technology and edge computing. The air pollution monitoring system comprises a sensing layer, a transmission and processing layer and a platform layer. The sensing layer takes an STM32 processor as a main control chip, collects atmospheric pollutant information by using a laser dust sensor and a gas sensor, and sends monitoring data to an edge computing server through an NB-IoT network base station to be cooperatively processed with a cloud server, so that real-time analysis and processing of atmospheric pollutant data are realized; and the processed data are uploaded to an upper computer, so that the position of a pollution source on a map can be positioned on line, and an early warning function can be realized through a short message mode or a mode of checking pollution indexes in real time through a Web page. According to the invention, a mode of cooperative processing of a plurality of edge computing servers and the cloud server is implemented through NB-IoT wireless communication network transmission, the load of a cloud platform is reduced, the data transmission efficiency and the accuracy of atmospheric pollution data monitoring are improved, acquisition, transmission, analysis processing, early warning and positioning of atmospheric pollution monitoring are realized in an all-around manner, and it is convenient for a user to know the air pollution condition in time.

Description

technical field [0001] The invention relates to the technical field of Internet of Things and environmental monitoring, in particular to an air pollution monitoring system based on NB-IoT and edge computing. Background technique [0002] With the development of my country's economy and technology, the level of urban industrialization has been continuously improved, and the consumption of various resources has also gradually increased. Due to the early industrial waste pollution and the relatively backward level of scientific development, the problem of air pollution has become an issue that affects the living environment and environment of the people. One of the important factors of good health, the problem of air pollution needs to be solved urgently. With the development of the Internet of Things technology, the existing air pollution monitoring has changed from the former manual on-site monitoring to remote automation and intelligent monitoring. The monitoring data is uplo...

AI Technical Summary

Problems solved by technology

At present, the existing air pollution monitoring equipment is usually based on fixed-point monitoring on the ground and on-board mobile monitoring of public transportation. There are problems such as large amount of uploaded data, narrow coverage, and poor upload network signal. Specific performance: 1) Monitoring points usually use no difference , Full-volume and fixed-point upload monitoring data, the monitoring management platform is prone to excessive traffic load; 2) The cost of fixed monitoring stations is high, and the vehicle-mounted mobile monitoring stations are difficult to cover all areas of the city, which is difficult to meet the monitoring needs; 3) The signal strength in the suburbs is relatively low. Poor locations make it difficult to upload atmospheric monitoring data according to the sampling period or the transmission network signal fluctuates when weather conditions are poor

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