节点文献

矿井缠绕提升系统弦绳振动及图像识别研究

Research on Vibration and Image Recognition of String Rope in Mine Winding Hoisting System

【作者】 蔡翔

【导师】 曹国华;

【作者基本信息】 中国矿业大学 , 机械制造及其自动化, 2018, 硕士

【摘要】 随着我国煤炭工业的不断发展,矿井开采深度的不断加深,对提升系统的需求也与日俱增,其中缠绕提升系统在矿井中运用的较为广泛。而其中从卷筒绕出通过天轮,并连接提升容器的钢丝绳在缠绕提升系统中起着关键性作用。在提升系统运行过程中,由于其运输距离长,静态和动态负荷都很大,卷筒和天轮之间较长的一段钢丝绳即弦绳会产生振动,而弦绳的振动会对天轮造成磨损,同时还会影响天轮以下的提升钢丝绳以及提升容器的运行情况,因此对弦绳振动的研究很有必要。本文采用理论计算、试验台模拟实验和现场实验相结合的方法,研究了缠绕提升系统弦绳振动和弦绳振动的图像识别,同时分析了弦绳振动的激励源,并为矿井多层缠绕提升系统安全平稳运行提供保障。首先,本文研究了缠绕提升系统的弦绳振动。分析了弦绳振动的激励来源,并针对钢丝绳多层缠绕时的空间几何特性,推导出了圈间过渡引起的弦绳横向振动的位移激励函数,并采用Hamilton原理建立了弦绳振动的模型,基于Galerkin截断法将振动控制方程离散化,通过边界条件,运用Newmark法进行数值求解,计算了真实激励下系统的动态响应。其次,本文研究了弦绳横向振动的图像识别。根据图像识别的原理,借助面阵工业相机,并采用基于小波变换的图像边缘提取算法进行边缘检测,提取弦绳边界,得出其横向振动位移,同时采用高速线阵工业相机,运用Gabor变换算法识别弦绳的纹理,从而得出其纵向运动的状态,并设计了实时监测钢丝绳横向振动位移的软件,实现了对弦绳振动位移的有效监测。最后,本文设计加工了对称双折线绳槽卷筒,并基于矿井多层缠绕提升系统原理搭建了多层缠绕卷筒的运动试验台,建立了缠绕卷筒弦绳横向振动的视觉识别系统,分析了缠绕卷筒弦绳振动位移的识别问题。实验分析表明上述多层缠绕卷筒弦绳振动位移的识别算法具有较强的实用性,以及上述多层缠绕卷筒弦绳振动的理论基本正确。

【Abstract】 With the continuous development of China’s coal industry and mining depth deepening,the demand for hoisting systems are increasing,among which the winding hoisting system is widely used in the mine.The wire rope which coils out from the winding drum,passes the head sheave and connects the hoisting conveyance plays a key role in winding hoist system.Due to its long distance transport,lager static and dynamic loads in the running process of the system,a longer rope between drum and sheave will generate vibration.And vibration of the string rope will cause wear on the sheave and affect the running of the hoisting container and the lifting rope below the sheave.So it is necessary to study the vibration of the string rope.In this paper,the string rope vibration of winding hoisting system and the image recognition of string rope vibration are studied by means of theoretical calculation,test platform simulation experiment and the scene experiment,and the exciting source of string rope vibration is analyzed,which provides guarantee for safe and stable running of multi-layer winding hoisting system in the mine.Firstly,the string rope vibration of winding hoisting system is studied.The paper analyzes the excitation source of the string rope vibration and derives the displacement excitation function of the transverse vibration of the string rope caused by the circle-to-circle transition according to the spatial geometric characteristics of the wire rope multi-layer winding.And the vibration model of the string rope is established by using the Hamilton principle and the vibration control equation is discretized based on the Galerkin method.So the Newmark method is applied to calculate and solve the dynamic response of the system under real excitation through the boundary condition.Secondly,the vibration of string rope based on image recognition is studied.According to the principle of image recognition,the array industrial camera and the image edge extraction algorithm based on the wavelet transform are used to detect the edge of the string rope and extract the boundary to obtain the transverse vibration displacement.At the same time,the high-speed linear array industrial camera is used to identity the texture of the string rope by the Gabor transform algorithm,thus the state of the longitudinal motion is obtained.Then,a software is designed for real-time monitoring of transverse vibration displacement of string rope to realizedeffective monitoring for vibration displacement of string rope.At last,the symmetrical double Lebus drum is designed and machined.This paper builds multi-layer winding hoisting system motion test platform based on the principle of hoisting system in the mine.To establish visual recognition system of the string rope transverse vibration of the winding drum and analyze the problem of the string rope vibration displacement recognition of winding drum.The experimental results show that the recognition algorithm for the string rope vibration displacement of the multi-layer winding drum is more practical,and the theory of the string rope vibration of the multi-layer winding drum is correct basically.

  • 【分类号】TP391.41;TD53
  • 【被引频次】11
  • 【下载频次】160
  • 攻读期成果
节点文献中: 

本文链接的文献网络图示:

本文的引文网络