Study on Controlling Smog Pollution by the Man-machine Cooperation Dan Wang*, Xuan Qin, Xinxin Chen

Abstract

The man-machine cooperation is characterized by shared cloud storage, assessment of massive data, and machine algorithm decision-making, provides an important opportunity to control smog pollution. It is urgent to analyze the data based on the relationship between smog and health, build a global smog governance knowledge base through an intelligent data mining engine, and deeply analyze the omissions of relevant policies and legal regulations. It proposes that man-machine cooperation balances the multi- interest game in the management of smog, perfects the rules of smog areas and the rules when smog often occurs, steadily implements the law enforcement actions to combat the smog pollution, and strengthens the final protection of the smog management. Constructing a grand blueprint for public health, economic development, social stability and ecological harmony, etc.