Abstract
The characteristics of rope vibration of the winding mine hoist are one of the main evaluation indices for evaluating the characteristics of the engineering mechanics and the safety coefficient of the hoist system. For this purpose, research was conducted on the vision-based measurement method for catenary transverse vibration. Firstly, a high-speed camera was utilized to capture grayscale images of the catenary transverse vibration. Secondly, the region of interest (ROI) was selected, and the ROI was binarized based on the wavelet edge extraction algorithm. Thirdly, in the ROI, the centroid position of the rope was obtained by calculating the matrix, which was described by the binary, and later, the transverse vibration signal of the catenary was obtained. Finally, the empirical mode decomposition (EMD) method was used to remove the periodic excitation caused by the displacement of the catenary winding. The experimental results show that the proposed method quickly and accurately comprehends the noncontact measurement of the catenary transverse vibration, and this method could also provide the technical support necessary for the measurement and evaluation of the safety parameters of the hoisting system.
Highlights
Background plate CatenaryVertical ropeHigh-speed camera background + Winding drumConveyance Figure 2: Measurement of transverse vibrations of the catenary
A type of winding mine hoisting system is shown in Figure 1. e main structure of the winding hoisting system consists of wire ropes, headgear sheaves, drums, and a conveyance. e catenary passes from the drum over the sheave, and the vertical rope is constrained to the conveyance
To improve the accuracy of detection, the contour edge of the wire rope in the region of interest (ROI) area is detected adaptively. rough the wavelet edge extraction algorithm based on the adaptive threshold, the Headgear sheaves +
Summary
A type of winding mine hoisting system is shown in Figure 1. e main structure of the winding hoisting system consists of wire ropes, headgear sheaves, drums, and a conveyance. e catenary passes from the drum over the sheave, and the vertical rope is constrained to the conveyance. During the winding process of the drum, the catenary generates two directions for the transverse vibration. Us, by calculating a series of image sequences in this method, the time-domain value of the transverse vibration of the catenary is obtained. E vibration displacement images of the catenary obtained by the high-speed camera are grayscale. In the axial direction of the image, the set value of the row number of pixels in the ROI image would be maximum, to increase the number of sampling pixels and to reduce the calculation error. To improve the accuracy of detection, the contour edge of the wire rope in the ROI area is detected adaptively. rough the wavelet edge extraction algorithm based on the adaptive threshold, the
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
