Visual Detection Method for Spatial Transverse Vibration Displacement of Wire Rope in Multi-point Synchronous Hoisting System

2019 ◽  
Author(s):  
Nana Fan ◽  
Fang Yang ◽  
Jishun Li ◽  
Shengyong Zou
Keyword(s):  
Transverse Vibration ◽  
Visual Detection ◽  
Detection Method ◽  
Wire Rope ◽  
Vibration Displacement ◽  
Hoisting System

The study on crossover layouts of multi-layer winding grooves in deep mine hoists based on transverse vibration characteristics of catenary rope

2018 ◽  
Vol 233 (2) ◽  
pp. 118-132
Author(s):  
Xia Peng ◽  
Xian-Sheng Gong ◽  
Jin-Jun Liu
Keyword(s):  
High Speed ◽  
Wire Rope ◽  
Processing Method ◽  
Dynamic Responses ◽  
Deep Mine ◽  
Experimental Platform ◽  
Type Selection ◽  
Lateral Oscillation ◽  
Hoisting System ◽  
Reliable Basis

In a deep mine winding hoist system, the lateral oscillation of the catenary rope is an important evaluation index of orderly rope arrangement and engineering safety. Different boundary excitations will appear when the wire rope winds on symmetrical or asymmetrical grooves, which results in the different dynamic responses of the hoisting system. In this article, the vibration equations of a deep mine hoisting system are established by using the Hamilton principle, and excitation functions of different crossover zone layouts are deduced. The operation curves are introduced to conduct the experiment based on a certain experimental platform. The lateral oscillation of the catenary rope is recorded by high-speed cameras, and an effective image processing method is proposed to obtain the vibration response of a certain point in the catenary rope. The numerical simulations are compared with the experimental results to prove the vibration models derived in this article are valid. The models could provide reliable basis for the grooves type selection in deep mine hoisting.

A Novel Rail Inspection Robot and Fault Detection Method for the Coal Mine Hoisting System

2019 ◽  
Vol 11 (2) ◽  
pp. 110-121 ◽  
Author(s):  
Chaoquan Tang ◽  
Gongbo Zhou ◽  
Zhaoxing Gao ◽  
Xin Shu ◽  
Pengpeng Chen
Keyword(s):  
Fault Detection ◽  
Coal Mine ◽  
Detection Method ◽  
Inspection Robot ◽  
Rail Inspection ◽  
Hoisting System

scholarly journals Multispectral visual detection method for conveyor belt longitudinal tear

Measurement ◽  
2019 ◽  
Vol 143 ◽  
pp. 246-257 ◽  
Author(s):  
Chengcheng Hou ◽  
Tiezhu Qiao ◽  
Haitao Zhang ◽  
Yusong Pang ◽  
Xiaoyan Xiong
Keyword(s):  
Visual Detection ◽  
Detection Method ◽  
Conveyor Belt ◽  
Longitudinal Tear

scholarly journals Computer Vision Measurement of Pointer Meter Readings Based on Inverse Perspective Mapping

2019 ◽  
Vol 9 (18) ◽  
pp. 3729 ◽  
Author(s):  
Bao ◽  
Tan ◽  
Liu ◽  
Miao
Keyword(s):  
Computer Vision ◽  
Visual Detection ◽  
Detection Method ◽  
Transformation Matrix ◽  
Normal Vector ◽  
Vision Measurement ◽  
Extrinsic Parameters ◽  
Perspective Effect ◽  
Rotation Transformation ◽  
Inverse Perspective Mapping

A computer vision method for measuring multiple pointer meters is proposed based on the inverse perspective mapping. First, the measured meter scales are used as the calibration objects to obtain the extrinsic parameters of the meter plane. Second, normal vector of the meter plane can be acquired by the extrinsic parameters, obtaining the rotation transformation matrix of the meter image. Then, the acquired meter image is transformed to a position both parallel to the meter plane and near the main point by the rotation transformation matrix and the extrinsic parameters, eliminating the perspective effect of the acquired image. Finally, the transformed image is tested by the visual detection method to obtain the readings of the pointer meter, improving measurement precision. The results of the measurement verify the effectiveness and accuracy of the method.

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