Intelligent Prediction for PCCP Wire Breakage Based on Broad Echo State Network
Pre stressed steel cylinder concrete pipe(PCCP)is widely used in long-distance water supply,munici-pal pipelines,and other engineering projects,but the accumulation of broken wires can threaten pipeline safety.To prevent the wire breakage accident of PCCP in advance,a prediction method based on intelligent technology was pro-posed for PCCP wire breakage.Firstly,the PCCP wire breaking data was statistically analyzed and the law of wire breaking data was summarized.Secondly,a prediction method based on broad echo state network was proposed.Final-ly,the prediction experiment was carried out,and the results show that the proposed network can improve the predic-tion accuracy compared with the classical deep learning network,and realize the reliable prediction of complex time series data.The proposed method can help perceive the tendency of wire breakage in advance and provide important reference information for preventive maintenance and risk warning of PCCP.
PCCP wire breakageTime series predictionBroad learningState echo network
万方数据
维普
