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Research And Application Of Dual Prevention Mechanism In Rare Workshop Of Copper Smelting Enterprises

Posted on:2024-04-29Degree:MasterType:Thesis
Country:ChinaCandidate:Y Q YangFull Text:PDF
GTID:2531307166975649Subject:Safety engineering
Abstract/Summary:PDF Full Text Request
In order to prevent accidents caused by inadequate safety risk management and control of copper smelting enterprises,implement the main responsibility of enterprise safety production,and respond to the requirements of laws and regulations put forward by the state in safety production,based on the principles of risk management and management system,the production process characteristics and safety management status of rare workshops in copper smelting enterprises were investigated on the spot,and a dual prevention mechanism for safety risk classification control and hidden danger investigation and management of rare workshops was established.Five kinds of scientific and reasonable hazard identification methods are adopted for the different life cycles of the components involved in the production process of rare and precious workshops.The existing safety risks and hazard sources are comprehensively and systematically identified from the aspects of operation activities,operation behaviors,equipment and facilities,process media,site environment,etc.,and the safety risk information database is formed.On the basis of system hazard identification,through the risk assessment process,the effectiveness of the original safety risk control measures of the rare workshop is evaluated by using the acceptable risk criteria,and it is concluded that the safety risk degree of the workshop is unacceptable under the original control measures.Furthermore,a risk assessment method combining the improved LEC method and the AHP-entropy weight method is proposed to quantitatively evaluate the degree of risk.The level Ⅰ low risk is controlled by the team level,the level Ⅱ general risk is controlled by the workshop level,the level Ⅲ larger risk is controlled by the department level,and the level Ⅳ major risk is controlled by the company level.The frequency of investigation corresponding to the classification of different hidden danger levels realizes the hierarchical control of safety risks and the hierarchical investigation and management of hidden dangers,and improves and improves the original safety risk control measures.This paper focuses on the operation safety disclosure and operation license of inspection and maintenance,as well as the investigation and management of safety hazards.Through the process of hazard source identification and risk assessment,the risk assessment of the safety disclosure knowledge base of inspection and maintenance operations is graded as ’ necessary options for safety disclosure ’ and ’ suggestions for safety disclosure ’.The key risks are highlighted to achieve effective safety disclosure,and inform the key risks in the form of a four-party safety clearance confirmation card,formulate hidden danger investigation standards,develop a knowledge base for hidden danger investigation standards,realize a scientific management model for hidden danger classification and frequency,and eliminate hidden dangers.The computer technology is applied to the information construction of the dual prevention mechanism in the workshop.Based on the corresponding database and knowledge base,the information system including three modules of safety risk information database management system,inspection and maintenance operation safety disclosure and operation license management system,and hidden danger investigation and management system is developed to realize the intelligence and visualization of safety management.Finally,the scientific risk classification,accurate risk control and closed-loop hidden danger control are realized,which greatly reduces the accident rate,improves the safety management level and efficiency,and effectively implements the application of the dual prevention mechanism in the enterprise workshop.
Keywords/Search Tags:Double prevention mechanism, Hazard identification, Improved LEC method, AHP-entropy weight method, Information system
PDF Full Text Request
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