Integral Risk Assessment in Steel Ropes Diagnostics Using Computer Vision

Author:

Panfilov A. V.1ORCID,Nikolaev N. N.1ORCID,Yusupov A. R.1ORCID,Korotkiy A. A.1ORCID

Affiliation:

1. Don State Technical University

Abstract

   Introduction. Currently, the technical condition of ropes of cable-working machines is evaluated periodically according to regulatory documentation. At the same time, methods of visual and instrumental control are used, which depend on the skills and physical capabilities (vision) of the personnel performing the work. There is no unified system of continuous assessment of the technical condition based on a set of factors that does not depend on the human factor. As a result, emergencies occur even when all routine maintenance is carried out on time. To correct this situation, it is proposed to use a computer vision system and neural networks, which allows determining its suitability for further operation by risk levels based on the totality of detected and identified defects, with the interpretation of their results in the color scheme: green — acceptable, yellow — increased, red — high.   The work objective is to propose an integral method for risk assessment of operating machines with rope traction when defects and their combinations are detected in a steel rope using computer vision while excluding the influence of the human factor.   Materials and Methods. Training of the neural network was carried out on the basis of statistical data of defects obtained from the results of technical inspections of machines with rope traction, on sections of the rope, multiples of its six and thirty nominal diameters according to GOST 33 718. Indexing of risks in the color scheme was carried out according to GOST 55 234.3 to develop a strategy for steel ropes maintenance. A certificate of registration of a computer program was obtained for the neural network program code. The neural network processes visual and measurement control data based on computer vision.   Results. An integrated risk assessment system has been created for the diagnosis of steel ropes using computer vision, which allows you to detect defects in steel ropes timely, assess the existing risk of further operation and give recommendations to specialists of operating organizations in real time. This will dramatically reduce the risk of accidents, injury and death of people at facilities using steel ropes.   Discussion and Conclusion. The proposed integrated risk assessment system can be applied in any facility that uses rope traction. These are elevators for various purposes, funiculars, cable cars, cranes and many other machines. It should be noted that the estimated commercial cost of the system is low; therefore, the system is available to a wide range of consumers.

Publisher

FSFEI HE Don State Technical University

Subject

General Medicine

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