Weak Magnetic Detection System for Elevator Steel Wire Rope Based on Embedded Neural Network
A weak magnetic detection method using residual magnetic field excitation is proposed for real-time monitoring and troubleshooting of safety issues in elevator wire rope operation.This method uses an open-loop permanent magnet magnetization method to fully excite the tested steel wire rope.After excitation,a weak leakage magnetic field will be generated at the defective part of the steel wire rope.The Hall sensor can convert the changes in magnetic induction intensity in the surrounding space of the tested steel wire rope into electrical signals.The detection system adopts a multi-sensor fusion RBF-BP combination neural network algorithm combined with RT Thread real-time operating system to run on a microcontroller.The results showed that the accuracy of various types of damage detection for steel wire ropes reached over 80%,and the detection effect was good,providing a solution path for the safe operation of elevators.
steel wire ropeneural networkembeddedHall elementresidual magnetic field excitationoperating system
万方数据
维普
