Abstract
Based on actual safety management difficulties and needs, this paper aims to screen and extract the key accident potential factors of personal injuries and deaths within the electric power industry to provide a reference for electric power companies’ accident prevention effort. First, this document sorts out and analyzes all of the causes and influencing elements that may lead to the occurrence of electric personal injuries and deaths, based on which rough accident potential factors are initially identified and combined with the definition of accident potentials. Second, this paper mines and analyzes relevant accident report texts using text-mining technologies such as term count, word cloud, and term frequency–inverse document frequency (TF-IDF), and thus a system of key accident potential factors for personal injuries and deaths within the electric power industry, including three key factors (human, material, and management), is finally constructed. Workers’ habitual violation behavior, in particular, has a larger risk than other key accident potential components, implying that additional steps should be made to eradicate this type of critical accident potential in time.
Highlights
IntroductionPower generating safety is becoming increasingly crucial as China’s power system develops and becomes more complicated, as well as the increased power demand brought on by China’s economic development
Experimental Scheme of Document File which consists of six steps: document collection, document storage, document preproinformation has become an important direction of data mining cessing, Document document mining, analysismining and comparison of experimental results, and final with the application of the Internet and socialofnetworks, and it is frequently employed in establishment of key hidden danger factor system electric power personal casualty disciplines emotion analysis andcasualty public opinion
This study builds an index system for hidden danger factors based on text mining of power grid safety accident reports based on the current state of China’s power grid safety management, employing safety management theory and text mining methods
Summary
Power generating safety is becoming increasingly crucial as China’s power system develops and becomes more complicated, as well as the increased power demand brought on by China’s economic development. An accident is defined as an incident that causes a personal casualty or direct economic loss in production and operation activities under China’s. Regulations on the Reporting, Investigation, and Handling of Work Safety Accidents [1]. As a subset of accidents, are accidents that result in a personal casualty, excluding property damage and equipment damage. An electric power personal casualty accident is defined as an event that causes a personal casualty in the electric power industry’s production, engineering construction, marketing, and industrial fields, typically involving electric shock, falling accidents, being struck by objects, collapsing, and burial [2]
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