Research And Application Of Safety Capability Evaluation Of Electromechanical Special Equipment Operators

In recent years,with the continuous improvement of safety supervision measures and efforts,even though the number of special equipment in China has increased year by year following the rapid economic development,the overall safe operation of special equipment has remained stable and gradually improved.However,due to the wide range of special equipment,especially the wide range of applications of electromechanical special equipment,once an accident occurs,it will cause heavy consequences and cause huge losses to the production safety of the enterprise and the safety of people’s lives and property.According to relevant data,over 80% of special equipment safety accidents are caused by human error,which reveals that there are obvious shortcomings in the research and management of human factors.Therefore,based on the influencing factors of personnel safety ability,this article takes bridge gantry crane drivers and forklift truck drivers,which are the most frequent accidents and are on the rise,with frequent human-machine interaction during the operation.Frequent electromechanical special equipment operators conduct safety capacity assessment research and application.It is of great significance to effectively prevent and resolutely curb the occurrence of mechanical and electrical special equipment accidents and maintain the safety production of enterprises.The main research contents are as follows.(1)According to the characteristics of electromechanical special equipment operations,the connotation of the safety capabilities of its operators is defined,and from the perspective of job task safety capability requirements,respectively establish an internal assessment system of safety quality and safety performance to achieve a comprehensive assessment of their safety capabilities.For the assessment of safety internal quality capabilities,Firstly,the analytic hierarchy process is used to determine the weight of each index,and then the fuzzy C-means clustering algorithm is used to cluster the data of the internal quality of personnel safety and the clustering level is determined by the TOPSIS method with weights.Finally,the BP neural network model is used to dynamically evaluate the safety internal abilities of electromechanical special equipment operators.For the evaluation of the external performance of safety capabilities,taking tasks as the carrier,from the two dimensions of task execution quality and efficiency,evaluate the external performance of the safety capabilities of electromechanical special equipment operators,through statistics on typical accident analysis,literature,field research and expert interviews,etc,to determine the corresponding evaluation standards and models.(2)Constructed a comprehensive evaluation model for the safety capabilities of electromechanical special equipment operators,and determined the implementation method of safety capability evaluation as experimental method,questionnaire measurement method,and practical operation evaluation in the process of task execution.At the same time determine the experimental equipment and experimental conditions,design the corresponding safety capability questionnaire and develop practical evaluation tools.The table provides the realization path and tools for the quantification of the safety capabilities of the electromechanical special equipment operators.(3)Use 245 forklift driver data for model training and testing,and then use 100 forklift drivers as research objects to apply the safety capability evaluation system and implementation method to verify the effectiveness and accuracy of the safety capability evaluation system and implementation method for electromechanical special equipment operators.At the same time,in order to realize the dynamic assessment of safety capabilities,a safety capability assessment system for electromechanical special equipment operators was designed and developed as an assessment carrier to apply the safety capability assessment system and implementation method.