Enterprise hidden hazard management method and management system thereof, electronic device and storage medium

Abstract

The invention relates to an enterprise hidden hazard management system which includes an enterprise safety detection standard database, a post customerized detection system, and a hidden hazard diagnosis analyzing system. The invention also relates to an enterprise hidden hazard management method, an electronic device and a storage medium. According to the invention, the system, the method, the electronic device and the storage medium are based on wireless positioning and mobile applications, and complete regular positioning of detection workers, automatic triggering of inspection stuff, and customerized pushing of inspection messages. According to the invention, the system realizes real-time acquisition of personnel information, processes unstructured data of safe production through semantic analysis, sorts and concludes respective factors of safe production data, analyzes correlation between respective factors by using association rules, finds potential dangerous factors by performing clustering, establishes a safe production hazard analyzing model which is applied to hidden hazard examination data, controls men's unsafe behaviors, objects' unsafe states, machines' unsafe states, environment's unsafe factors, and lack of management, and prevents and reduces accidents by coordinating the relationship between five factors, namely man, machine, objects, environment, and management.

Description

technical field [0001] The invention relates to enterprise hidden danger management, in particular to an enterprise hidden danger management method and its management system, electronic equipment and storage media. Background technique [0002] Hidden dangers of safety production accidents refer to the unsafe behaviors of people who do not comply with the current safety production laws, regulations, standards, procedures and safety production management systems, or who may cause accidents due to other factors in production, construction and business activities. The unsafe state of objects, the unsafe state of machines, the unsafe factors of the environment, and the lack of management. The chemical industry is a high-risk industry, with the characteristics of high temperature and high pressure, poisonous and harmful, continuous operation, multiple points and wide areas, and it is prone to hidden dangers. If these hidden dangers cannot be comprehensively investigated, prevent...

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the deficiencies in the prior art, the purpose of the present invention is to provide enterprise hidden danger management method and its management system, electronic equipment and storage media, adopt enterprise safety detection standard library, customize post detection and collect various detection contents inside the enterprise, and pass Semantic analysis technology processes the unstructured data of safety production, classifies and summarizes the various elements of safety production big data, uses association rules to analyze the correlation between each element, clusters to find potential risk factors, and establishes a safety production data that is suitable for hidden danger investigation business data The risk analysis model controls the unsafe behavior of people, the unsafe state of objects, the unsafe state of machines, the unsafe factors of the environment, and the lack of management. Purpose of Production Accident

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