Remaining Life Prediction of Boiler Pipes Based on Stereoscopic Vision Measurement System
Boiler pipes operate under high temperature and pressure for extended periods.Due to the effects of creep,they can fail even when stresses are below the yield limit.Under deep load cycling,the creep effects in power plant main steam and reheat pipes are more pronounced.However,due to the complexity of the piping system and harsh working conditions,effective monitoring is challenging.Lar-son-Miller parameter method is utilized to research the creep life of main steam and cold reheat pipes in power plants.By using CAE-SAR Ⅱ,the displacement and stress states of the piping system under different conditions are analyzed.A real-time displacement and stress online model for the entire piping system is established by using CNN-LSTM and validated with a stereoscopic vision measurement system.The results show that the proposed CNN-LSTM network can accurately reconstruct the displacement and stress values of the pip-ing system,with reconstruction errors controlled within±3％ .Based on the creep distribution results,it's observed that the bent parts of the pipes are prone to stress concentration,and the main steam pipes exhibit more stress concentration than the cold reheat pipes.Pre-dictions on creep life reveal that some nodes in the piping system have a faster decline in creep life than others.These particular nodes should be a focus for monitoring during maintenance.
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