Research On Analysis And Tracing Of Human Risk In Chemical Laboratory Of University

Frequent occurrence of safety accidents in university chemical and chemical engineering laboratories has negatively impacted personnel safety,scientific progress,and the reputation of universities and academic disciplines.Numerous studies have found a close association between a significant number of accidents and human unsafe behaviors,emphasizing the necessity of conducting research related to human factors in laboratory settings.Therefore,in order to enhance the safety of university chemical and chemical engineering laboratories,this study carried out human factors risk analysis and accident traceability research.This study initially employed descriptive statistics combined with ANOVA variance analysis to explore the proportion and impact of human factors in accidents based on data from 90 laboratory accidents that occurred in universities and research institutions in recent years.The research findings indicate that human factors account for the highest proportion among overall laboratory accident causes,different types of laboratory accident causes,and accidents resulting in personnel injuries.Furthermore,compared to other causes,human factors have the most significant impact on personnel injuries in accidents.Additionally,in laboratories with different types of injury-causing accidents,the influence of human factors is equally important.Due to the significance of human factors,this research focused on chemical and chemical engineering laboratories and proposed an improved cognitive reliability and error analysis method(CREAM)to quantitatively assess the probability of human errors in experimental processes.Unlike the traditional CREAM method,the proposed improved method adjusted the nine common performance conditions(CPCs)involved in CREAM to ensure their effective description of experimental tasks by considering the characteristics of the experiments.Subsequently,the research innovatively collected CPC performance data from the perspectives of possibility and severity using the risk concept to improve the rationality and interpretability of the data while reducing subjectivity.Moreover,based on the collected risk data for each CPC,the research calculated the weights of each CPC using gray relational analysis.Simultaneously,the research fuzzified the risk data of each CPC to determine their fuzzy membership degrees and consequently identified the activated fuzzy If-Then rules and their corresponding rule weights.Finally,employing fuzzy mathematics theory,the research designed logical operators to integrate CPC membership degrees,CPC weights,and If-Then rule weights.After defuzzification analysis,the probability of human errors was obtained.The method proposed in this paper is predicted by the experiment of preparation of active ferrous sulfide and the credibility of the conclusions.Lastly,by combining laboratory accident case analysis and analysis of human factors reliability data.This research conducted comparative studies to identify human factors risks at high levels and performed traceability analysis to identify potential human factors risks.It also proposed scientifically effective rectification measures and management strategies.Through analyzing multiple laboratory accident cases,this paper reveals human factors issues existing in laboratories,constructs the CREAM method for analyzing human errors in university chemical and chemical engineering laboratories,enabling quantitative prediction of human errors.Furthermore,this study completes the traceability analysis of human factors risks and proposes solutions to enhance human factors reliability in chemical and chemical engineering laboratories.