Emergency Disposition Of Long Distance Water Diversion Project Based On Fuzzy KNN And CBR

The contradiction between water supply and demand has long been an important factor limiting the development of many regions in China,and the uneven spatial and temporal distribution is one of the main reasons for this situation.Therefore,since the end of last century,China has built a series of inter-basin water transfer projects to solve this problem.Since the operation of these water transfer projects,they have made visible contributions to the economic development,social progress and environmental improvement of the areas along the routes.Long-distance water transfer project investment is large,affects a wide area,involves geological diversity,many risk factors,complex engineering structure,in the operation process there are many potential risk factors,any part of the sudden situation may cause a direct and serious impact on the operation of the project,which will not only lead to the suspension of the project operation,water quality is affected,and even threaten the lives and property safety of the people along the route.Therefore,the emergency management of large water conservancy projects has always been the focus of attention,more efficient and proper disposal of its has been the goal of researchers and management of the constant pursuit.In this paper,by analyzing the characteristics of various types of engineering emergencies,combined with the actual situation of the operation of long-distance water transfer projects,the study of long-distance water transfer projects in the actual operation of various types of risk events that may occur on the basis of the analysis of the characteristics of various types of events to case framework structure representation method to extract the key information of each case,and organized to form a database of accident cases.At the same time,the database information is applied to the emergency handling of emergencies by applying the idea of case reasoning.According to the experts’ judgment on the importance of accident attributes,combined with the engineering practice,Pythagorean fuzzy hierarchical analysis is applied to assign the weight size according to the importance of each attribute in case matching,and then the weight value is added to the similarity between each attribute obtained through the nearest collar algorithm to obtain the overall similarity between cases.In order to find the existing cases similar to the emergencies,and then refer to the response experience of similar cases to formulate the disposal plan of the emergencies to achieve the purpose of rapid response.At the same time,the case library operates in a dynamic management mode,and can be continuously added,modified,and deleted in the actual application process,so that the case matching results will be more accurate and the disposal measures obtained will be more meaningful for the site managers.In the paper,the system implementation results of the corresponding functions are also given,which can realize the matching work of emergencies and the display of disposal measures on multiple terminals.Finally,the most matching historical cases are obtained by similarity calculation with the cases in the case database,and the corresponding disposal plan and preventive measures are provided.According to the current results,the use effect can basically meet the requirements,but the case inference model needs a large number of cases to learn and correct later to achieve better use effect.