Steel wire rope state comprehensive monitoring system and method based on visual-electromagnetic detection

Abstract

The invention discloses a steel wire rope state comprehensive monitoring system and method based on visual-electromagnetic detection, and belongs to the field of mechanical part damage detection. Themethod comprises the steps: detecting wire breakage, abrasion and corrosion damage on the surface of a steel wire rope through a machine vision method, recognizing the steel wire rope with normal andabnormal appearance in a self-adaptive mode through a deep convolutional neural network, and accurately recognizing the type and position of surface damage through a yolov3 algorithm of an improved trunk network; detecting the residual effective sectional area of the steel wire rope and damages such as broken wires, abrasion and corrosion inside the steel wire rope by adopting an electromagnetic detector; updating the established steel wire rope accumulated damage measurable model based on visual-electromagnetic detection according to the detection data; and finally, performing grading evaluation on the steel wire rope health state according to the damage degree. Visual detection and electromagnetic measurement technologies are combined, internal and external damage of the in-service steelwire rope can be comprehensively mastered, and a guarantee is provided for reliable operation of the steel wire rope.

Description

technical field [0001] The invention belongs to the field of damage detection of mechanical parts, and in particular relates to a comprehensive monitoring system and method for steel wire rope status based on vision-electromagnetic detection. Background technique [0002] Wire ropes are widely used in various lifting, traction, and load-bearing systems, such as hoists, cranes, cableways, cable-stayed bridges, etc. The health of the wire rope is directly related to the safety of people's lives and property. Therefore, the detection of the health status of the wire rope should be strengthened. There are many wire rope damage detection methods, such as electromagnetic method, visual method, acoustic emission method, ultrasonic guided wave method, etc., but none of them has been fully trusted by users. Each detection method has certain advantages and disadvantages, and cannot comprehensively detect the internal and external state of the wire rope. Among them, the visual metho...

AI Technical Summary

Problems solved by technology

At present, there are many methods of wire rope damage detection, such as electromagnetic method, visual method, acoustic emission method, ultrasonic guided wave method, etc., but no method has been fully trusted by users.

Each detection method has certain advantages and disadvantages, and cannot comprehensively detect the internal and external states of the wire rope

Among them, the visual method can efficiently detect the surface damage type and shape of the steel wire rope, but the detection accuracy and efficiency need to be further improved; the electromagnetic method can detect the remaining effective cross-sectional area of ​​the steel wire rope, but it is difficult to distinguish when multiple defects exist at the same time. The fracture is not obvious Broken wires (such as lapping after tilting), and the morphology of the damage cannot be grasped at the same time

Therefore, there is a lack of a comprehensive detection method that can detect internal and external defects of steel wire ropes at the same time, so as to efficiently detect and identify internal and external defects of steel wire ropes and grasp the health status of steel wire ropes

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