Air quality monitoring system

Abstract

The invention discloses an air quality monitoring system. The air quality monitoring system comprises a monitoring module for monitoring the air quality, a data processing system for processing data monitored by the monitoring module and a remote monitoring system for monitoring the data processing system. The monitoring module comprises a plurality of sensors for monitoring the air quality and communication systems connected with corresponding sensors. The data processing system comprises a processing system for processing various data, a timing clock for performing time correction with the remote monitoring system, a storage unit for storing various data, a locating module for performing longitude and latitude locating, a power module for supplying power to the processing system and a wireless transceiver module. Compared with the prior art, the air quality monitoring system of the invention has the advantage of flexible, reliable and efficient monitoring point network deployment, and at the same time, air quality data obtained by each monitoring point can be uploaded on a real-time basis, so the air quality monitoring requirement can be satisfied.

Description

technical field [0001] The invention relates to an air quality monitoring system, in particular to an air quality monitoring system capable of self-positioning. Background technique [0002] Weather forecasts have become increasingly inaccurate in recent years. Meteorological and natural disasters of various sizes occur frequently, air pollution is becoming more and more serious, and the environmental quality is very bad. There are more and more various diseases caused by environmental pollution, which have seriously affected the lives of the people. Human environmental protection issues and sustainable development strategies have become the focus of worldwide attention. Traditional atmospheric environment monitoring usually relies on manual observation at fixed monitoring points to collect various meteorological and environmental data. This method not only has poor timeliness, but also cannot adapt to remote and harsh environmental conditions. Uploaded to the decision-ma...

AI Technical Summary

Problems solved by technology

Traditional atmospheric environment monitoring usually relies on manual observation at fixed monitoring points to collect various meteorological and environmental data. This method not only has poor timeliness, but also cannot adapt to remote and harsh environmental conditions. Uploaded to the decision-making control center in real time, the measurement data reflected by point coverage will inevitably lead to inaccurate forecasts

In addition, traditional monitoring equipment can no longer meet the monitoring requirements of the complex atmospheric environment.

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