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.
关键词
预应力钢筒混凝土管断丝/时序预测/宽度学习/回声状态网络
Key words
PCCP wire breakage/Time series prediction/Broad learning/State echo network
维普
万方数据