The invention provides an oil pipeline network leakage intelligent self-
adaptation monitoring system and method based on
big data, and belongs to the technical field of pipeline network internal detection methods. By means of the
system and method, a large number of data collected on site can be effectively analyzed in reasonable time, the state of a pipeline network can be obtained by means of an intelligent self-
adaptation method, and accordingly a topological structure of the pipeline network is obtained. By means of a flow balance method and with the combination of an
information consistency theory, whether the pipeline network leaks is analyzed, and the method is visual, simple, high in sensitivity and low in
false alarm rate. Besides, precise warning is well carried out on detection of small leakage amount and slow leakage. By means of a generalized regression neural network, leakage positioning of the pipeline network is carried out, and accuracy of a result is improved. Accordingly, leakage detection and positioning problems of the pipeline network are solved by means of strategies based on the
big data and the intelligent self-
adaptation method, and meanwhile the aims of high precision and high accuracy can be achieved.