At present,atmospheric particulate pollution remains a significant factor restricting the enhancement of air quality in certain cities.Through the analysis of the current situation and demands of dust pollution prevention in Jinan City,a real-time monitoring and traceability system for atmospheric particulate matter is developed based on the big data technology of the Internet of Things.By developing relevant algorithms,it can aid in identifying local areas with high levels of particulate matter pollution,grasp the status and change trend of particulate matter pollution promptly,and promote the improvement of regional air quality,which holds vital application value and reference significance in air pollution prevention and environmental supervision.
关键词
物联网/颗粒物/监测/溯源/系统
Key words
internet of things/particulate matter/monitoring/source tracing/system
维普
万方数据