In order to solve the problems of nuclear power equipment troubleshooting process and its empirical data and information discretization,unsystematic whole process control,no standard specification,information stack,unstructured management and application,etc.,the method of"observation,hearing,questioning and feeling"is created to systematically and finely collect equipment fault symptoms,a correlation analysis method of fault cause/risk source term is created to systematically analyzes the failure risks and causes,and the fine equipment fault intervention measures are developed,by building a"diagnosis and treatment mechanism"for nuclear power equipment troubleshooting.Also under the mechanism,the management codes and standards for equipment troubleshooting are developed,the big data intelligent support platform of nuclear power equipment fault records for diagnosis and treatment are studied and developed,four databases including the disease database,source term database,prescription database and operation and maintenance expert database are built up,and the big data of diagnosis and treatment record database is formed for unit and system equipment troubleshooting,so as to improve the efficiency of operation and maintenance personnel and the multi-disciplinary coordination efficiency,and improve the efficiency of equipment fault operation and maintenance.
equipment faultdiagnosis and treatmentfault recorddisease databasesource term databaseprescription databaseoperation and maintenance expert database
万方数据
