Environmental protection intelligent law enforcement emergency traceability scheduling management method based on big data

Abstract

The invention provides an environmental protection intelligent law enforcement emergency traceability scheduling management method based on big data. The environmental protection intelligent law enforcement emergency traceability scheduling management method based on big data includes the steps: 1) establishing a customized triangle environment processing efficiency acquisition and assessment model for a law enforcement object, the law enforcement time and a law enforcement officer; 2) performing self-adaption layered classified dimensionality reduction on the air pollution data; and 3) by means of the customized triangle environment processing efficiency acquisition and assessment model for the law enforcement object, the law enforcement time and the law enforcement officer, according tothe air pollution data after self-adaption layered classified dimensionality reduction, performing continuous training subdivision by combining with the big data ant colony algorithm.

Description

technical field [0001] The present invention relates to the fields of big data, machine learning, computer simulation, environmental protection, and computer interactive systems. More specifically, the present invention relates to a big data-based management method for environmental intelligent law enforcement emergency traceability dispatching. Background technique [0002] In recent years, there have been many large-scale smog outbreaks in China. The physical components of the smog are mainly PM2.5, PM10, etc., and the chemical components are mainly carbon, sulfate, lead, arsenic, cadmium, copper, etc., which cannot be effectively defended by the human respiratory system. Serious hazard to health. [0003] The occurrence of this pollution is closely related to industrial emissions. Due to the lack of effective refined management methods for a long time, the environmental protection and urban management departments have relatively extensive management of illegal emissions. ...

AI Technical Summary

Problems solved by technology

[0004] 1. The traceability is not precise enough, and the time lag: For example, when a large-scale pollution occurs in a certain place, law enforcement personnel dispatch emergency treatment, and inspect and manage the project that is being discharged

However, the factories that caused the current emissions had already done the emissions, and when the law enforcement officers arrived, they had "consciously" stopped the emissions, resulting in a rush

[0005] 2. Extensive personnel dispatching arrangements: pollution is staged and intermittent. When large-scale pollution warnings occur, law enforcement personnel are extremely tense and overwhelmed, which reduces the efficiency of law enforcement

When the air is usually good, there will be idle manpower, which reduces the utilization efficiency of law enforcement human resources

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