Game theory based gray haze monitoring and early warning system

Abstract

The invention provides a game theory based gray haze monitoring and early warning system which comprises a government data acquisition unit, an enterprise data acquisition unit, a citizen data acquisition unit, a grey haze data acquisition unit, a server, a database, an early warning device, a PC, and a mobile terminal. The method is performed as follows. The server and the database integrate the government data acquisition, the enterprise data acquisition, the citizen data acquisition and the grey haze data acquisition. Through the use of the server and the database to analyze the tripartite game mechanism among the government, the enterprise and the citizen and the internal influence mechanism of different data, early warnings and reference to gray haze evolution and management can be made possible. The invention can also formulate different management strategies according to the situation of the tripartite game and observe the effect of the grey haze treatment with different treatment strategies. With the early warning device, the PC and the mobile terminal, the grey haze monitoring and early warning can be reported to a user.

Description

technical field [0001] The invention relates to the field of haze control, in particular to a haze monitoring and early warning system based on game theory. Background technique [0002] As the haze situation in China is getting more and more serious, a haze monitoring and early warning system has emerged as the times require. The haze monitoring and early warning system is mainly used for data collection, PM detection, continuous monitoring, and analysis of air quality in various regions. Judgment and warning. At present, the monitoring and early warning system of haze mainly monitors and warns of air visibility, particle characteristics, chemical composition of gaseous pollutants, etc.; in addition, meteorological elements in the same period have a great impact on the formation of haze, which also needs to be monitored , including conventional meteorological parameters such as radiation, air temperature, relative humidity, wind speed, and wind direction. The latest haze ...

AI Technical Summary

Problems solved by technology

[0003] However, the current haze monitoring and early warning system is mainly based on the haze and the environment itself, and the shortcomings are obvious

First of all, the current haze monitoring and early warning system is difficult to find the source of haze. Through monitoring and early warning of air visibility, particle characteristics, chemical composition of gaseous pollutants, etc. The real source of haze formation is very difficult

Secondly, the current haze monitoring and early warning system is difficult to provide effective governance strategies. If the causes of haze formation cannot be accurately excavated, targeted governance strategies cannot be provided to reduce haze sources.

Thirdly, the current haze monitoring and early warning system is unable to position the roles of the government, enterprises, and citizens in haze governance, nor can they divide their responsibilities and rights, nor can they coordinate with each other

[0004] In China, with the advancement of haze early warning and monitoring technology, it provides a technical basis for the efficient control of haze. However, there are few haze monitoring and early warning systems based on game theory in the market

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