HSE risk grading management and control system

Abstract

The invention discloses an HSE risk grading management and control system, which comprises an intelligent safety data acquisition terminal, a risk grading management and control processing system, a risk visualization background management system and a database, and is characterized in that the intelligent safety data acquisition terminal is used for acquiring safety risk information of a work area; the risk grading management and control processing system is used for acquiring data of the intelligent safety data acquisition terminal and performing processing on the data, wherein the processing comprises an operation of performing grading assessment on the safety risk data or information acquired by the intelligent safety data acquisition terminal; the risk visualization background management system is used for acquiring data processed by the risk grading management and control processing system and performing management and control on the intelligent safety data acquisition terminal, wherein the management and control comprise an operation of performing visualization display on the information processed by the risk grading management and control processing system; and intelligent safety data acquisition terminal, the risk grading management and control processing system and the risk visualization background management system are all in signal connection with the database.

Description

technical field [0001] The invention relates to the fields of risk data classification processing and early warning in production safety management, and specifically relates to a HSE risk classification management and control system. Background technique [0002] In recent years, major safety accidents such as factory fires, collapses, explosions of pipelines and hazardous chemicals have occurred frequently. Looking at these accidents, it can be found that the following problems generally exist in the HSE management of industrial enterprises: on-site safety personnel work repetitively, Negligent identification of hidden dangers and violations, shortage of safety management personnel, uneven quality of safety management personnel, lack of systematization of safety work, insufficient real-time safety monitoring of the site by management personnel, inadequate implementation of the safety management system, heavy post-accident management, and little process management; [0003] ...

AI Technical Summary

Problems solved by technology

[0002] In recent years, major safety accidents such as factory fires, collapses, explosions of pipelines and hazardous chemicals have occurred frequently. Looking at these accidents, it can be found that the following problems generally exist in the HSE management of industrial enterprises: on-site safety personnel work repetitively, Negligent identification of hidden dangers and violations, shortage of safety management personnel, uneven quality of safety management personnel, lack of systematic safety work, insufficient real-time safety monitoring of the site by management personnel, inadequate implementation of the safety management system, heavy post-accident management, and little process management;

[0006] Traditional risk analysis methods, including safety checklist method, preliminary hazard analysis (PHA), failure mode and effect analysis, fault tree analysis, etc., are generally welcomed by everyone because of their simplicity and wide application, but these methods cannot guarantee accurate quantitative and Intuitively classify and judge the risk data. Therefore, on the basis of the above methods, combined with the bowtie risk analysis method and the MLS risk quantitative evaluation method into one, comprehensively analyze the factors and control measures of specific risks, as well as their different risk levels. So as to make timely predictions and issue early warning information to prevent accidents

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