Enterprise hidden danger management method and its management system, electronic equipment and storage medium

Abstract

The invention provides enterprise hidden danger management, including an enterprise safety detection standard library, a post customization detection system, and a hidden danger diagnosis and analysis system; the invention also relates to an enterprise hidden danger management method, electronic equipment and a storage medium. The present invention uses wireless positioning and mobile applications to complete the point-to-point positioning of inspection personnel, automatic triggering of inspection content, and customized push of inspection messages. The present invention realizes the real-time collection of full-staff information, processes the unstructured data of safety production through semantic analysis technology, classifies and summarizes each element of safety production big data, uses association rules to analyze the correlation between each element, and clusters to find out potential dangers Factors, establish a safety production risk analysis model suitable for hidden danger investigation business data, control 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. The relationship between the five elements of environmental management to achieve the purpose of preventing and reducing safety production accidents.

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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