Design Of Remote Air Quality Monitoring System And Study On Its Concentration Detection Accuracy Correction Technique

Air quality is an important indicator of human living environment, and good air quality monitoring is an important means to improve the quality of the environment. Electronic nose technology, which was developed in 1990s, is the application of simulation technology of the sense of smell. Generally, the electronic nose system features fast detection speed and real-time on-line nondestructive testing, it is more and more widely used in medical diagnosis, food industry, automation and environmental air quality monitoring. In this paper, the e-nose system, which is applied in remote air quality monitoring, is studied.Firstly, the remote air quality monitoring system is designed in this paper. The system consists of three parts, air quality monitoring terminal (or "monitoring terminal" in short), air quality monitoring center (or "monitoring center" in short) and air quality query terminal (or "query terminal" in short). Among them, monitoring terminal collects odor information of air pollutants with gas sensor array, and then send the collected information to monitoring center through wireless communication; the main function of monitor center is to store and analyze the received odor data, to determine the category of the polluted gas and to calculate its concentration; at the same time, the operation interface of the monitoring center can also monitor and check the air pollution information of each monitoring point in real time; the main function of query terminal is to interact with the monitoring center for data, so that users can check the air quality of each monitoring point in the mobile terminal equipment.Secondly, for the correction of gas concentration detection accuracy, a concentration prediction network is constructed for each class of gases in this paper, by setting a standard reference gas sensor with good selectivity and high accuracy for some kind of gas (also called "standard reference gas") in the monitoring terminal, and the test result of the standard reference gas is used as the standard, according to the theory of POCS, IWO and WLS for optimization, which make the gas predicted concentration value obtained from the gas concentration prediction model close to the accurate concentration value, and the correction coefficient of each gas sensor is obtained to correct the sensor response to improve the overall detection accuracy of gases.Finally, the experiments were carried out using six kinds of gas as standard reference gases. Experimental results show that the proposed model can effectively improve the prediction accuracy of monitoring terminal for all kinds of gas concentrations when using CO and benzene as the standard reference gas.