Air quality monitoring of landscape architecture based on multi-sensor fusion

Xiang Huang and Liangjie Li

International Journal of Environmental Technology and Management, 2023, vol. 26, issue 3/4/5, 201-212

Abstract: In order to overcome the problems of low accuracy and poor real-time performance of traditional methods, a new air quality monitoring of landscape architecture based on multi-sensor fusion is proposed. First, a sensor acquisition device based on ZigBee network is built to collect PM2.5 concentration, PM10 concentration, carbon monoxide concentration, ozone concentration, sulphur dioxide concentration, nitrogen dioxide concentration and other indicators. Then, the interference value is eliminated, and Bayes algorithm is used to fuse the multi-sensor data. R-type cluster analysis is used to calculate the correlation between the collection indexes, based on which a comprehensive evaluation model of air quality is constructed. Finally, the processed collection results are substituted into the model to obtain the comprehensive evaluation results of air quality. Combined with the evaluation results, it is necessary to realise the air quality monitoring of landscape architecture. The test results show that this method has high monitoring accuracy and good real-time performance.

Keywords: multi-sensor information; landscape architecture; air quality monitoring; Bayes algorithm; R-type cluster analysis. (search for similar items in EconPapers)
Date: 2023
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