Electronic nose air quality monitoring system and method based on cloud computing

Abstract

The invention provides an electronic nose air quality monitoring system and method based on cloud computing. The system is provided with an electronic nose cloud terminal, a cloud monitoring center and a mobile phone client. A mode recognition network, a concentration computing network, a pollution source positioning network and an air quality forecasting network are configured on the cloud monitoring center. The electronic nose air quality monitoring system has the advantages that system integrates technologies such as an electronic nose, cloud computing, Internet of Things, clean energy and manual neural network, air quality and position information of each monitoring point are collected in real time and stored, information such as pollution gas category, concentration, pollution source position and air quality forecasting of each monitoring point is obtained after algorithm processing, and results are pushed to the mobile phone client, a large-range and large-scale air quality remote real-time monitoring and forecasting function is achieved, the monitoring results are precise, and the monitoring function is powerful.

Description

technical field [0001] The invention relates to the technical field of environmental monitoring, in particular to an indoor and outdoor air quality monitoring system. Background technique [0002] In recent years, the problem of air pollution has become increasingly serious, PM2.5, NO 2 , SO 2 , CO, formaldehyde, benzene series and other pollutants have become key factors affecting human health, so effective monitoring of air quality is particularly important. At present, there are many air pollutant detection methods at home and abroad. Among them, the electronic nose technology has developed rapidly due to its portability, real-time performance, and low cost. Quality inspection products. However, air quality detection products on the market can only detect small areas such as living rooms and offices, but have no good results in air quality monitoring in large and medium areas such as buildings, communities, and even urban areas. On the other hand, due to the limitatio...

AI Technical Summary

Problems solved by technology

[0006] This application provides a cloud computing-based electronic nose air quality monitoring system and its method, which integrates electronic nose, cloud computing, Internet of Things, clean energy, artificial neural network and other technologies to collect and store the air quality of each monitoring point in real time and location information, after processing by algorithm, the pollution gas category, concentration, pollution source location and air quality forecast of each monitoring point are obtained, and finally the results are pushed to the mobile phone client, thus realizing remote real-time monitoring and forecasting of air quality in a wide range function, which solves the technical problems of poor large-scale monitoring effect, low gas detection accuracy and single monitoring function in the existing technology

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