Semantic analysis method, electronic device and storage medium and diagnosis system

Abstract

The invention discloses a semantic analysis method. The semantic analysis method comprises the steps of text preprocessing, text modeling, clustering treatment and clustering result visualized presentation. The invention also relates to an electronic device and a computer-readable storage medium. A computer program is executed by a processor through the semantic analysis method. The invention also relates to a semantic analysis diagnosis system. The semantic analysis diagnosis system comprises a text preprocessing module, a text modeling module, a clustering treatment module and a visualized presentation module. Safe production non-structural data are processed through the semantic analysis technology, elements of safe production big data are classified and concluded, correlation of the elements are analyzed through correlation rules, potential risk factors are found through clustering, and a safe production risk analysis model applicable to potential risk identification business data is established to control unsafe behaviors of people, unsafe states of objects and machines, unsafe factors of environment and deficiency in management; by coordinating the relation among people, machine, object, environment and management, the semantic analysis method achieves the aim of preventing and reducing production accidents.

Description

technical field [0001] The invention relates to the field of safe production, in particular to a semantic analysis method, electronic equipment, a storage medium and a diagnosis system thereof. 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, prevented and controlled in ...

AI Technical Summary

Problems solved by technology

[0003] In order to overcome the deficiencies of the prior art, one of the purposes of the present invention is to provide a semantic analysis method and its diagnosis system, which can process unstructured data of safety production through semantic analysis technology, classify and summarize the various elements of safety production big data, and use the association Rules analyze the correlation among various elements, cluster to find out potential risk factors, establish a safety production risk analysis model suitable for hidden danger investigation business data, and control unsafe behaviors of people, unsafe states of objects, unsafe states of machines, Unsafe factors in the environment and lack of management can achieve the purpose of preventing and reducing safety production accidents by coordinating the relationship between the five elements of man-machine-material-environmental management

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