Research On Dynamic Warning Technology Of Production Accident Risk In Huaihua Enterprises

The rapid development of China's chemical enterprises in this new era,the continuous expansion of their scale,and the continuous reform and innovation in product research and development have made traditional safety detection and monitoring devices unable to meet the safety production needs of chemical enterprises.In recent years,the losses caused by chemical accidents have increased compared with previous years,which means that the research on early warning technology of production accident risk in chemical enterprises is demanding.The research on early warning technology can predict the actual safety production status of enterprises,and achieve timely early warning and hidden danger investigation to reduce or avoid losses caused by accidents.Based on the research of early warning theory,the early warning system and early warning model through theoretical research was established,and accident risk early warning technology based on the characteristics of chemical companies was studied.While constructing an accident risk early warning index system,it considers the theory of variable weight and comprehensive weighting theory.In combination,the indicator weights of the early warning system are dynamic.The dynamic early warning model of production accidents is constructed through the combination of dynamic comprehensive weights and matter element proximity models,and the early warning levels are classified as safety(level I),attention(level II),warning(level III)and danger through the theory of early warning level classification.(Level ?)Four state levels are used to determine the level boundary value.In the process of determining the dynamic comprehensive weight,firstly the improvement of the traditional entropy weight method was adopted to improve the accuracy of the method weight;secondly,the AHP method combined with the variable weight theory was used to construct the AHP-variable weight model to make the index weight dynamic;finally,the product is returned from the first method and determines the comprehensive dynamic weights of the quantitative weights of improved entropy weights and the qualitative weights of AHP-variable weights.The improved matter-element proximity model is used to standardize the matter-element which is evaluated by the classic matter-element in the traditional matter-element model,and combine the proximity and level judgment to obtain the index closeness and the enterprise early warning level.The index sensitivity analysis was conducted.According to the accident risk dynamic early-warning model,a dynamic early-warning system for production accident risks is developed,and real-time early warning of accident risks of chemical companies is realized through the functions of early warning index weight,index closeness and early warning level.Data collection and processing in Huaihua Synthetic Ammonia Plant,using the software for early warning analysis,the results show that the system is stable in operation and the output data achieves the expected results,providing certain promotion value for the development of accident risk early warning technology.Figure[22]table[33]reference[59]...