Intelligent steel cord conveyer belt defect identification method and intelligent steel cord conveyer belt defect identification system

Abstract

The invention discloses an intelligent steel cord conveyer belt defect identification method and an intelligent steel cord conveyer belt defect identification system. The identification method includes the following steps: (1) electromagnetic loading; (2) defect signal acquisition; (3) feature extraction; (4) training sample obtainment; (5) class priority determination; (6) multi-class model establishment; (7) multi-class model training; (8) real-time signal acquisition and synchronous class: electromagnetic detection units are adopted for real-time detection, detected signals are synchronously inputted into a data processor, features are extracted and then sent into established multi-class models, and the defect class of a detected conveyer belt is automatically outputted. The identification system comprises an electromagnetic loader, a plurality of electromagnetic detection units, the data processor and an upper computer, the data processor can automatically output the defect class of the detected conveyer belt, and the upper computer bidirectionally communicates with the data processor. The design of the invention is reasonable, the invention is easy to operate and convenient to put into practice, moreover, the using effect is good, the practical value is high, the reliability of conveyer belt defect detection is enhanced, and the efficiency of defect identification is increased.

Description

technical field [0001] The invention belongs to the technical field of intelligent identification of defects in steel cord conveyor belts, and in particular relates to a method and system for intelligent identification of defects in steel cord conveyor belts. Background technique [0002] The steel cord belt conveyor is the main transportation equipment of most coal mines at present, and usually undertakes the transportation of more than 65% of the coal volume, and plays an extremely important role in the production of modern coal mines. Due to the long-term, high-load operation of the conveyor belt and some accidental factors, such as the impact or jamming of gangue, coal lumps and other hard objects reproduced from other coal conveying systems, the conveyor belt will be damaged, which will cause internal wire rope damage. Defects such as broken ropes, broken wires, fatigue and joint displacement greatly reduce the tensile strength of the conveyor belt. After analysis, the...

AI Technical Summary

Problems solved by technology

Nowadays, the steel cord conveyor belts in most coal mines still adopt the method of manual visual inspection and regular replacement management, which has potential safety hazards and serious waste

And in the actual application process, because there are many types of defects in steel cord conveyor belts, and the signal characteristics are relatively complex, the defect signal pattern recognition of steel cord conveyor belts belongs to multi-classification recognition.

The research on defect signal pattern recognition in the existing detection system is seriously insufficient, and there are problems such as poor real-time performance and low reliability

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