基于线扫描图像技术的立井多绳摩擦提升钢丝绳承载特性研究

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振动与冲击 ›› 2018, Vol. 37 ›› Issue (5) : 36-41.

论文

蔡翔，曹国华，韦磊，王磊，王海鑫

作者信息 +

Load-bearing characteristics of hoisting wire rope of a vertical shaft with multi-rope friction based on line scanning image technique

CAI Xiang, CAO Guo-hua,WEI Lei, WANG Lei, WANG Hai-xin

Author information +

文章历史 +

摘要

为了能够方便快捷的识别立井多绳摩擦提升钢丝绳的健康运行状态，提出了基于线扫描图像技术检测摩擦轮边界处提升钢丝绳的横向振动，从而评估提升钢丝绳承载特性的方法。首先，通过基于VC++开发线扫描图像采集程序实现提升钢丝绳的横向振动检测，实时记录；其次，采用基于小波变换的图像边缘提取算法，识别提升钢丝绳相对振动偏移量；最后，基于带通滤波和FFT变换，得到了提升系统匀速运行过程中弦绳横向振动的固有频率及提升钢丝绳的承载特性。经实验验证，该方法克服了立井多绳摩擦提升钢丝绳张力识别困难等问题，为立井多绳摩擦提升系统的健康运行提供了保障。

Abstract

In order to easily and quickly identify health operating state of hoisting wire rope of a vertical shaft with multi-rope friction, a method based on the line scanning image technique was proposed to detect transverse vibrations of hoisting wire rope at the boundary of the friction wheel and evaluate its load-bearing characteristics. Firstly, the line scanning image acquisition program was developed with VC++ to realize transverse vibration detection of hoisting wire rope and real-time recording. Secondly, the image edge extraction algorithm based on wavelet transformation was applied to recognize relative vibration deflections of hoisting wire rope. Finally, based on band pass filters and FFT transformation, transverse vibration natural frequencies of middle chord rope and load-bearing characteristics of hoisting wire rope were obtained in the process of the hoisting system running at a constant speed. Tests indicated that the proposed method can be used to overcome difficulties of recognizing the tension force of hoisting wire rope of a vertical shaft with multi-rope friction, it provides a guarantee for health running of vertical shaft hoisting systems with multi-rope friction.

导出引用

蔡翔，曹国华，韦磊，王磊，王海鑫. 基于线扫描图像技术的立井多绳摩擦提升钢丝绳承载特性研究[J]. 振动与冲击, 2018, 37(5): 36-41

CAI Xiang, CAO Guo-hua,WEI Lei, WANG Lei, WANG Hai-xin. Load-bearing characteristics of hoisting wire rope of a vertical shaft with multi-rope friction based on line scanning image technique[J]. Journal of Vibration and Shock, 2018, 37(5): 36-41

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