Environmental parameter monitoring and management system based on big data visual analysis

Abstract

The invention discloses an environmental parameter monitoring and management system based on big data visualization analysis. The system comprises a region division module, a monitoring point arrangement module, an air quality monitoring module, an air quality analysis module, a temperature detection module, a humidity detection module, a humidity analysis module, an analysis server, a schedulinganalysis module, a watering cart scheduling center and a storage database. Monitoring points are arranged in each sub-region in an urban road region to be monitored, the concentration of each air quality parameter at each monitoring point in each sub-region is monitored, the road surface temperature and road surface humidity of each sub-region are detected, the comprehensive environmental influence coefficient of each sub-region is comprehensively calculated, whether each sub-region meets the road watering requirement or not is judged, the corresponding parking point position closest to the position of each sub-region meeting the road watering requirement is screened out, workers are informed to conduct watering treatment, and therefore the requirement for urban environment optimization management is met, and the physical and psychological health of travelers is guaranteed.

Description

technical field [0001] The invention relates to the technical field of urban environment monitoring, and relates to an environmental parameter monitoring and management system based on big data visualization analysis. Background technique [0002] In recent years, with the rapid development of my country's urbanization process, the urban road network has become denser and the traffic volume on the road has increased. However, under the influence of the natural environment and human factors, the roads often accumulate dust. There will be dust on the road, which will lead to poor road environment quality and cause harm to the health of pedestrians. [0003] At present, there are still many problems in the existing urban environmental monitoring management system. The existing urban environmental monitoring system mainly uses manual monitoring to judge the environmental quality of urban roads through artificial vision and feeling, so it is impossible to accurately monitor the ur...

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Problems solved by technology

[0002] In recent years, with the rapid development of my country's urbanization process, the urban road network has become denser and the traffic volume on the road has increased. However, under the influence of the natural environment and human factors, the roads often accumulate dust. There will be dust on the road, which will lead to poor road environment quality and cause harm to the health of travellers.

[0003] At present, there are still many problems in the existing urban environmental monitoring management system. The existing urban environmental monitoring system mainly uses manual monitoring to judge the environmental quality of urban roads through artificial vision and feeling, so it is impossible to accurately monitor the urban road area. Air quality, the existence of dust flying affects the safe and stable operation of urban road traffic, thereby increasing the hidden dangers of people's travel safety and bringing huge harm to the health of travellers; at the same time, most of the existing urban environmental monitoring and management systems use sprinklers to Time to sprinkle water, which not only increases the workload of sprinklers, consumes a lot of labor and vehicle costs, but also cannot achieve timely and effective watering treatment in real time due to the comprehensive environmental impact of the road, so that it cannot meet the needs of urban environmental optimization management. In order to solve For the above problems, we now design an environmental parameter monitoring and management system based on big data visualization analysis

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