Rope arrangement fault detection method and device based on laser ranging

Abstract

The invention discloses a rope arrangement fault detection method and device based on laser ranging. The method includes step 1, rotating a rotary table to enable a laser sensor to scan the whole ropearrangement area on the surface of the winding drum along the length direction of the winding drum, and acquiring the position parameters of the scanning points in the rope arrangement area under a two-dimensional coordinate system; step 2, sequentially selecting the characteristic point on each winding rope in the rope arrangement area along the length direction of the winding drum, and acquiring two-dimensional coordinates of each characteristic point according to the position parameters of each scanning point; step 3, calculating the number of layers of the winding ropes of each characteristic point according to the obtained two-dimensional coordinates of each characteristic point according to the corresponding relation between the rope winding layer number of the characteristic pointand the Y-axis coordinate of the characteristic point; step 4, calculating the layer number characteristic value y3 according to the obtained number of layers of the winding ropes of each characteristic point (J); and step 5, obtaining a fault conclusion according to the calculated layer number characteristic value y3 (j). According to the method, the conclusion that whether a fault occurs or notcan be accurately obtained, and the rope skipping fault or the rope clamping fault is obtained is obtained.

Description

technical field [0001] The invention belongs to the field of fault detection for drum winding and arranging ropes on industrial sites, and in particular relates to a method and device for detecting faults in arranging ropes based on laser distance measurement. Background technique [0002] Underground resource mining is mostly using mine hoisting equipment. With the advancement of science and technology and the continuous improvement of mine production modernization requirements, more and more attention has been paid to improving the operation stability and safety of equipment. Improving equipment informatization and intelligent transformation are mine hoisting equipment. The most important thing to upgrade. [0003] Existing methods for detecting faults in arranging ropes mostly use manual observation, which is inefficient and prone to errors when observed for a long time. CN201510025651.0 proposes a method and system for detecting faults in drum wire rope arranging faults ...

AI Technical Summary

Problems solved by technology

[0003] Existing methods for detecting faults in arranging ropes mostly use manual observation, which is inefficient and prone to errors when observed for a long time. CN201510025651.0 proposes a method and system for detecting faults in drum wire rope arranging faults based on machine vision, which uses an industrial camera , The way of image processing partly makes up for the blank of intelligent rope fault detection, but the image is detected from the direction of the plane, which has poor adaptability to the transition between layers, unsatisfactory lighting, and changes in the industrial control environment

CN201210365602.8 proposes a control method, system and engineering machinery for reel anti-disorder rope, and proposes a binary method for image processing. Although it reduces the amount of calculation and simplifies the processing flow, it still adopts the method of image acquisition. The method of shooting the original roll with a special camera, and this method will be due to optical distortion in actual use, such as shooting the surface from a point, the closer the image is, the larger the image is, the farther the image is, the smaller the image is, and the final image The straight lines of the edges are significantly curved, thus leading to inaccurate conclusions drawn by the described method

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