基于BP网络的堆垛机曳引绳实时监测技术  

Real-time monitoring technology of hoisting rope of stacker based on back propagation

作　　者：吴逸凡 熊建桥[1,2] 王宗荣 韩雨轩[1] 周义术 Wu Yifan;Xiong Jianqiao;Wang Zongrong;Han Yuxuan;Zhou Yishu

机构地区：[1]南京工程学院,南京211167 [2]南京华德仓储设备制造有限公司,南京211122 [3]南通理工学院,南通226001

出　　处：《起重运输机械》2025年第2期99-104,共6页Hoisting and Conveying Machinery

基　　金：江苏省产学研合作项目“智能物流关键装备研发”(BY120230590)。

摘　　要：文中以曳引绳的弹性形变为研究对象,通过研究曳引绳振动波形从而对其安全性能加以判断。为此,首先建立了曳引绳纵向振动的运动学模型;然后通过有限元分析验证了模型的可靠性;最后利用振动传感器获得曳引绳运动过程中的波形,利用BP神经网络加以学习,获得曳引绳的实际伸长量并以此评估其安全性。研究结果表明,该方法在曳引绳的安全性能评估方面基本满足工程实际需求。The elastic deformation of hoisting rope is taken as the research object,and its safety performance is judged by studying the vibration waveform of hoisting rope.Firstly,a kinematic model of longitudinal vibration of hoisting rope was established.Then,the reliability of the model was verified by finite element analysis.Finally,a vibration sensor was used to obtain the waveform of the hoisting rope in the movement process,and back propagation was performed,so as to obtain the actual elongation of the hoisting rope and evaluate its safety performance accordingly.The research results show that this method can basically meet the actual needs of engineering in the safety performance evaluation of hoisting rope.

关 键 词：堆垛机 实时监测技术 曳引绳纵向振动 有限元 BP神经网络 

分 类 号：TH246[机械工程—机械制造及自动化]