Association Rule Mining-based Safety Accident Analysis for Transmission and Transformation Projects
In order to facilitate sustainable development goals(SDGs)in the construction of power transmission and trans-formation projects,this essay briefly outlines the use of statistical analysis methods in these projects'safety accident anal-ysis.The main points entailed are risk factor analysis via the 4M1E method,and the inter-factor intrinsic correlation min-ing via association rule mining-based Apriori algorithm.It elaborates the extreme hazardous feature of safety accidents oc-curring in the construction process of power transmission and transformation projects.It concludes that the foundation construction process and the falling from height process are the most accident-prone process and type of injury,respective-ly;and human behavior is the primary factor leading to accidents,as there can be found a strong correlation between the risk factors such as the low level of project management,lack of safety awareness,and the poor risk identification ability.It suggests the collection of more detailed and diverse accident reports and case data,and the more consideration to weigh-ted risk factor analysis,which facilitate more comprehensive and objective assessment of project safety accidents.
sustainable developmentpower transmission and transformation projectsafety accident analysis4M1E methodol-ogy
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NSTL
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