Data mining and its application in natural gas pipeline network under the context of big data

Abstract

The era of big data has brought about great changes in industry. In order to improve the efficiency, security and automation level of industrial production, it is necessary to find out the hidden rules in the massive data by fully mining and utilizing the big data of industry, so as to improve the level of information management in industry, further providing reliable technical support for intelligent monitoring, operation and maintenance. Herein, the application solution and effect of data mining in load forecasting, safety warning, scheduling optimization and performance monitoring of natural gas pipeline network under the context of big data were analyzed with specific cases. Based on that, the development direction of data mining and other relevant technologies was discussed from the perspectives of multi-data fusion, establishment of integrated information platform and full-life-cycle management. Moreover, the application of data mining in natural gas pipeline network was prospected.

Keywords

• natural gas pipeline network
• data mining
• load forecast
• safety warning
• scheduling optimization
• parametric regression