Data Mining Technology In Natural Gas Pipeline Maintenance Repair Management

With the development of computer and information technology,the amount of information grows exponentially,in order to extract valuable information or knowledge from huge jumbled data for management decision-making to provide services,traditional methods can not meet the real needs.A combination of statistical data,databases and other disciplines of mining is currently a new and important area of research.Data mining technology to improve pipeline maintenance repair management level,improve the security risks of the forecast level,reduce the gas pipeline leaks and other emergencies,to ensure smooth operation of network security has played an extremely important role.This paper describes the basic content and common methods of data mining,combined with the natural gas pipeline maintenance repair management in practical problems,to explore data mining techniques using research service of the gas pipeline,summarized a repair equipment protection and natural gas pipeline leak mining accidents,repairs made to protect equipment and reduce natural gas pipeline spill comments probability.By using random forest method of digging out the importance of the variables affect the natural gas pipeline leak degree,the degree of coating damage and the extent of leakage of clients.For the future smooth operation of natural gas enterprise security,and eliminate security risks,provide scientific data,a clear focus and direction of maintenance and repair work safety investigation.