Method and system for detecting wall thickness of pump pipe in blockage state, storage medium and processor

The invention discloses a method and a system for detecting the wall thickness of a pump pipe in a blocked state, a storage medium and a processor. According to the technical scheme, the identification problem of the wall thickness of the concrete pump pipe is converted into the minimum value problem of a loss function by means of structural mechanics physical information of the pump pipe and a concrete system; compared with an existing deep learning method completely depending on training data, the method has the advantages that the requirement for the actual measurement data volume is remarkably reduced, the pump pipe wall thickness can be recognized only depending on a small amount of acceleration sensor actual measurement data, the cost in the actual application process can be remarkably reduced, and popularization is facilitated. 本发明公开了用于检测堵塞状态下泵管壁厚的方法、系统、存储介质及处理器，本发明的技术方案借助泵管与混凝土系统结构力学物理信息，将混凝土泵管壁厚的识别问题转换为损失函数的最小值问题，相比现有完全依赖训练数据的深度学习方法，本发明的方法显著减少了实测数据量的要求，仅依靠少量的加速度传感器实测数据，便可实现泵管壁厚的识别，可显著降低实际应用过程中的成本费用，利