Research On Running Condition Monitoring Of Key Components Of Hoisting System Based On Machine Vision

The hoisting system,as the only channel that connects the ground and the mine,is the main equipment in the process of coal mine production.The components of vertical shaft hoisting system include mine host,hoisting ropes,hoisting containers,head sheaves,container guide device,headframe and unloading equipment,etc.And there are three key components,including motive hoisting ropes,hoisting containers and interconnected tension balance device,in the hoisting system.In order to ensure the efficient and safety of the mine production,monitoring the working state of the mine shaft equipment is an essential process.The prevention of serious accidents in the mine and the safety warning of the hoisting system can be realized through the analysis of the data of the mine hoisting system.Multi-rope friction lifting system is the research object of this paper.I studied the working state of three key components,that including hoisting ropes,hoisting containers and tension balancing device,by a non-contact machine vision method in this article.And I studied the key components of vertical shaft hoisting system from three aspects that including image processing method,data calculation,construction of equipments' running state monitoring system and software of upper computer.Firstly,the principle of all kinds of image processing algorithms used in this paper is summarized.By analyzing the image of the lifting containers,the method of judging the position of the container and the calculation principle are explained in detail through the way of machine vision monitoring.The wire rope tension balance device is installed on the top of the lifting container,because of the mine equipment object studied in this paper is multi-rope friction lifting system.I completed the monitoring of the adjustment state of the hydraulic cylinder of the tension balance device by monitoring of the tension balance device on the top of the wire rope lifting container.Secondly,the working state of the vertical hoisting container is monitored by monitoring the working state of the hoist roller.The lifting depth,lifting speed and lifting acceleration of the lifting container are monitored by monitoring the rotation angle of the hoist roller.A depth indicator based on machine vision monitoring and research of the working state of the container be designed to provide guidance for the equipment operators in the mine production site.Thirdly,the transverse running characteristics of the wire rope under different monitoring points and different environments are studied.The wire rope studied in this paper is divided into two different monitoring points.One is the main monitoring point located in the stable ambient light,and the other is the outdoor monitoring point with complex ambient light conditions.An automatic correction of the wire rope images is provided by analyzing and processing the wire rope images at two different monitoring points,and the corrected wire rope images are of great significance for obtaining the transverse displacement of the wire rope.Finally,the upper computer software for monitoring the running state of the key components of the mine hoisting system is designed.The upper computer software is composed of data display module,data acquisition and processing module,data statistics report and analysis module and parameter setting module.The main thread is responsible for the display and analysis of system data,while the auxiliary thread completes other functions such as data storage and parameter setting.As the main medium for the field personnel to understand the running state of the key components of the mine hoisting system,the upper computer software is an indispensable part of the mine monitoring system.There are 117 figures,4 tables,98 references in this paper.