Big data application method and system for environmental supervision law enforcement decision

Abstract

The invention discloses a big data application method for environmental supervision law enforcement decision. The method comprises the following steps: data acquisition and integration: cleaning and integrating government affair data resources of internal and external pollution sources, and converging and integrating multi-source data; data mining analysis: analyzing the aggregated and integratedmulti-source data; generating an information clue: generating the information clue for environmental supervision and law enforcement according to the data analysis result, and managing the informationaccording to the weight; generating an intelligence portrait: labeling the enterprise problem according to the generated intelligence clue to generate an enterprise intelligence portrait; informationclosed-loop application: carrying out information research and judgment, information dispatching, information processing and result feedback closed-loop application management according to the information clues; and evaluating the efficiency of the information: evaluating the research and judgment, order dispatching and settlement conditions of the information according to the information processing conditions. By adopting the method provided by the invention, the problems that the environmental protection data dispersion data cannot be effectively applied and the like are solved, and the timeliness and accuracy of law enforcement can be improved.

Description

technical field [0001] The invention belongs to the technical field of environmental protection supervision, and in particular relates to a big data application method and system for environmental supervision and law enforcement decision-making. Background technique [0002] Nanhai District is an economically strong area dominated by manufacturing, with a large number of polluting enterprises, heavy environmental supervision tasks and huge pressure; with the decentralization of environmental supervision and supervision, the tasks of national, provincial and municipal environmental protection supervision and supervision have increased, and assessment and accountability The continuous strengthening of the mechanism has resulted in a continuous increase in the business volume of front-line environmental protection law enforcement personnel, and the work pressure has continued to intensify. In the current environmental supervision and law enforcement work, there are insufficient...

AI Technical Summary

Problems solved by technology

In the current environmental supervision and law enforcement work, there are insufficient law enforcement personnel, and the law enforcement initiative, professionalism, and timeliness are not high. It is urgent to carry out system innovation and technological innovation, and make full use of the power of environmental protection big data to accurately lock the supervision target and narrow the scope of investigation. Strengthen the pre-prevention, in-process supervision, and post-event tracking capabilities of pollution sources, and effectively improve the precision, intelligence, and scientific level of environmental supervision and law enforcement in the South China Sea District

[0003] At present, most of the environmental protection big data applications are based on environmental perception network technology to realize the monitoring of pollution source discharge and early warning of abnormal sewage discharge. The data application is relatively limited; at the same time, after years of environmental information construction in our bureau, various environmental protection data resources are scattered, and the collection, cleaning, integration and unified management of internal and external data resources have not been finally realized, making it difficult for data analysis and sharing applications Provide important support; the working mechanism and related systems for the construction and application of environmental protection big data in Nanhai District are still not perfect. Analytical models, and the lack of an effective closed-loop application mechanism and application system for environmental protection data

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