Research on Leakage Diagnosis of Heating Pipe Network Based on Deep Belief Network

Aiming at the large amount of data and complex structure of the heating pipe network system, this paper studies the fault diagnosis method of heating pipe network leakage based on deep belief network. Firstly, using the theory of graph theory to establish the hydraulic calculation model of the leakage condition of the heating pipe network, then according to the pressure change value of the pressure monitoring point in the pipe network; the deep belief network is used to establish the fault diagnosis model of the heating pipe network leakage, and the feasibility of the method is verified by experiments. The experimental results show that the proposed method has higher accuracy for the prediction of leakage pipe segments, and is superior to BP (Back Propagation Neural Network) neural network and support vector machine traditional fault diagnosis method.