矿用钢丝绳在线检测系统的研究与设计
发布时间：2019-03-09 11:09
【摘要】：钢丝绳作为矿井提升系统牵引、运输、提升过程中的关键部件,在其长期工作过程中受到矿井复杂环境的腐蚀、磨损、物理撞击、挤压等各种因素的影响,会出现断丝、磨损、扭结、锈蚀等损伤,导致使用强度和寿命降低,使得钢丝绳发生骤断的风险升高,威胁到人员财产生命安全,造成生产停顿。因此,研究和开发一种能够对钢丝绳的损伤进行检测和定量识别的检测系统,避免因钢丝绳断裂造成事故的发生,保障人员和设备的安全具有十分重大的意义。本文针对钢丝绳LF型损伤(主要是断丝),分别在钢丝绳励磁装置和传感器设计、调理电路的设计、数据采集系统、损伤信号的处理、特征量提取与损伤定量识别和钢丝绳检测系统上位机软件等方面作了研究、设计、开发和试验。根据钢丝绳的磁化和漏磁检测原理,设计了钢丝绳励磁装置;选用磁敏电阻作为传感器与励磁装置组成钢丝绳检测探头。采用ARM技术、以太网接口和TCP/IP通信协议设计了采集传感器输出信号的数据采集系统,开发了上位机测试程序对数据采集系统的性能进行了测试。利用MATLAB小波分析工具箱对钢丝绳检测信号进行仿真处理。分析了钢丝绳断丝信号的特征量,并将其提取出来,提出采用BP神经网络和超门限方法对钢丝绳断丝进行定量识别。采用C#语言开发了钢丝绳在线检测系统的上位机软件,提出了采用算法简单、易于实现的超门限方法识别钢丝绳断丝,并针对不同现场使用不同规格钢丝绳的实际情况,设计了先校准得到门限值再检测的钢丝绳检测方案。在实际现场进行了验证,结果与实际基本相符。
[Abstract]:Wire rope, as a key component in the process of traction, transportation and lifting of mine hoisting system, is affected by various factors such as corrosion, wear, physical impact, extrusion and so on in the long-term working process of mine hoisting system, which will lead to wire breaking and wear. The damage of kink, rust and so on leads to the reduction of service strength and service life, the increase of the risk of sudden break of wire rope, the threat to the safety of personnel and property, and the production standstill. Therefore, it is of great significance to study and develop a detection system which can detect and quantitatively identify the damage of steel wire rope, to avoid the accident caused by the breakage of steel wire rope and to guarantee the safety of personnel and equipment. Aiming at the damage of wire rope LF (mainly broken wire), the design of excitation device and sensor of wire rope, the design of conditioning circuit, the data acquisition system, the processing of damage signal, and so on, are presented in this paper. The feature extraction and damage quantitative identification and the upper computer software of wire rope detection system are studied, designed, developed and tested. According to the principle of magnetization and magnetic leakage detection of steel wire rope, the wire rope excitation device is designed, and the magnetic resistance is selected as the sensor and excitation device to form the wire rope detection probe. Using ARM technology, Ethernet interface and TCP/IP communication protocol, a data acquisition system is designed to collect the output signal of the sensor. The performance of the data acquisition system is tested by the upper computer test program. MATLAB wavelet analysis toolbox is used to simulate the detection signal of steel wire rope. The characteristic quantity of wire broken signal of wire rope is analyzed and extracted. The BP neural network and over threshold method are used to identify the broken wire of wire rope quantitatively. The upper computer software of wire rope on-line detection system is developed by using C # language, and the super-threshold method, which is simple in algorithm and easy to realize, is proposed to identify broken wire rope, and the actual situation of using different specifications of wire rope in different field is pointed out. The detection scheme of steel wire rope was designed, which was calibrated to get threshold value and then tested. It is verified on the spot that the results are in good agreement with the actual situation.
【学位授予单位】：西安科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TD532
本文编号：2437387
[Abstract]:Wire rope, as a key component in the process of traction, transportation and lifting of mine hoisting system, is affected by various factors such as corrosion, wear, physical impact, extrusion and so on in the long-term working process of mine hoisting system, which will lead to wire breaking and wear. The damage of kink, rust and so on leads to the reduction of service strength and service life, the increase of the risk of sudden break of wire rope, the threat to the safety of personnel and property, and the production standstill. Therefore, it is of great significance to study and develop a detection system which can detect and quantitatively identify the damage of steel wire rope, to avoid the accident caused by the breakage of steel wire rope and to guarantee the safety of personnel and equipment. Aiming at the damage of wire rope LF (mainly broken wire), the design of excitation device and sensor of wire rope, the design of conditioning circuit, the data acquisition system, the processing of damage signal, and so on, are presented in this paper. The feature extraction and damage quantitative identification and the upper computer software of wire rope detection system are studied, designed, developed and tested. According to the principle of magnetization and magnetic leakage detection of steel wire rope, the wire rope excitation device is designed, and the magnetic resistance is selected as the sensor and excitation device to form the wire rope detection probe. Using ARM technology, Ethernet interface and TCP/IP communication protocol, a data acquisition system is designed to collect the output signal of the sensor. The performance of the data acquisition system is tested by the upper computer test program. MATLAB wavelet analysis toolbox is used to simulate the detection signal of steel wire rope. The characteristic quantity of wire broken signal of wire rope is analyzed and extracted. The BP neural network and over threshold method are used to identify the broken wire of wire rope quantitatively. The upper computer software of wire rope on-line detection system is developed by using C # language, and the super-threshold method, which is simple in algorithm and easy to realize, is proposed to identify broken wire rope, and the actual situation of using different specifications of wire rope in different field is pointed out. The detection scheme of steel wire rope was designed, which was calibrated to get threshold value and then tested. It is verified on the spot that the results are in good agreement with the actual situation.
【学位授予单位】：西安科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TD532
【参考文献】
相关期刊论文 前1条
1 刘义;陈国定;李济顺;薛玉君;;单绳缠绕式提升机钢丝绳动力学仿真研究[J];机械科学与技术;2009年09期
，本文编号：2437387
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