Research On Vibration Monitoring Of Wire Rope In Mine Hoisting System Based On Machine Vision

In the process of coal mine production and construction,the lifting system plays the role of “throat” connecting the underground and the ground,and its safe operation is inseparable from the safe and efficient production of coal mines.Among them,the wire rope is an important part of the lifting system and plays a decisive role in its normal and stable work.In recent years,there has been a huge increase in the operating speed and load capacity of the lifting system wire rope.It is particularly important to assess the operating condition of the lifting system by monitoring the vibration state of the wire rope and further predicting the failure.This paper mainly studies the monitoring method based on machine vision for the wire rope vibration of mine hoisting system.The kinematics calculation is mainly carried out by taking a coal mine lifting system as an example,and a five-degree-of-freedom mathematical model of the lifting system is established.The vibration excitation caused by the lifting speed,the tension of the wire rope and its natural frequency,the yaw of the balance wheel and the wear of the rope groove are studied.Based on the actual application scenarios of machine vision and monitoring system,a monocular machine vision monitoring system scheme is proposed.The whole monocular machine vision monitoring system is designed as a whole.The image acquisition module,information communication module and software processing of the monitoring system are applied to the system's functional requirements.The module is refined,and hardware device parameters are studied.The imaging theory of the machine vision monitoring system is studied.The mathematical transformation of the transformation process of the corresponding points in the four spatial coordinate systems in machine vision is derived to obtain an accurate conversion formula.The camera internal reference matrix and the distortion coefficient matrix are derived.The solution method of the two matrices is compiled,the camera calibration is realized,and the calibration result of the camera is verified by comparison experiments.The calculation principle of the vibration parameters of the wire rope studied in this paper is analyzed,and the subsequent image processing algorithm for the wire rope picture is written.It mainly includes gray level acquisition in image preprocessing,filter transformation,ROI technology to reduce the amount of image processing operations,and contrast adjustment and edge detection to reduce the difficulty of recognition.The processing effects of different types of algorithms of the same image processing step are compared and the final selection is made.Machine vision monitoring software was designed.On the basis of the wire rope dynamic running test system,the machine vision monitoring test bench was built to complete the wire rope monitoring experiment,and the displacement sensor was used to set up the contrast experiment to obtain two sets of experimental data.Through the processing and error analysis of the experimental data,it is proved that the monocular machine vision monitoring system studied in this paper is very effective in monitoring the lateral vibration displacement of the steel wire rope.