Muncy, Geissler, Olds & Lowe, P.C.
Intelligent adaptive system and method for monitoring leakage of oil pipeline networks based on big data
The present invention relates to an intelligent adaptive system and method for monitoring leakage of oil pipeline networks based on big data. The present invention effectively analyzes a large amount of data collected on site within a reasonable time period and obtains a state of a pipeline network by an intelligent adaptive method, thereby obtaining a topological structure of a pipeline network. The present invention specifically adopts a flow balance method in combination with information conformance theory to analyze whether the pipeline network has leakage; small amount of leakage and slow leakage can be perfectly and accurately alarmed upon detection; as a generalized regression neural network is adopted to locate a leakage of the pipeline network, an accuracy of a result is increased. Therefore, the present invention adopts a policy and intelligent adaptive method based on big data to solve problems of detecting and locating leakage of the pipeline network.
Northeastern University
G G
G01M G01M
inventional inventional
Dazhong Huaguang Jian Gang Qiuye Zhenning Xiaoyu Jinhai
Ma Zhang Feng Wang Sun Wu Li Liu