An automatic detection method for the opening degree of the crane hook

Abstract

The invention discloses an automatic detecting method for the opening degree of a crane hook. The method comprises: carrying out denoising processing to remove point cloud data except a hook; carryingout point cloud traverse processing and carrying out searching to obtain a peak of a hook point; for data above the peak of the hook point, calculating a symmetric plane based on initial plane hypothesis, symmetric point set calculation and feature value decomposition techniques; carrying out projection of the data above the peak of the hook point on the symmetric plane and calculating a reference point for opening degree calculation; and calculating a distance between the reference point and the peak of the hook point to obtain an opening degree. Therefore, the error caused by the high subjectivity in the manual measurement can be eliminated; dependence on special shape of the top of the hook is eliminated; and the method has advantages of high precision, manual participation prevention,high applicability and the like.

Description

technical field [0001] The invention relates to the technical field of intelligent detection, in particular to an automatic detection method for the opening degree of a crane hook. Background technique [0002] Hoisting machinery is widely used in lifting, transportation, loading and unloading of various materials, and is an indispensable equipment for modern industrial production. As the stressed part of the crane, the hook is prone to serious safety accidents due to defects such as deformation. [0003] In order to ensure safe production, special equipment inspection and testing institutions need to conduct regular inspections of hooks in accordance with existing inspection standards and procedures. According to the "Lifting Machinery Safety Technology Supervision Regulations - Bridge Cranes" issued by the General Administration of Quality Supervision, Inspection and Quarantine of the People's Republic of China, when the opening is 15% larger than the original size, the h...

AI Technical Summary

Problems solved by technology

Its limitations are: (1) Although the manual operation is flexible, it is highly subjective and easy to introduce errors, resulting in low measurement accuracy; (2) It is difficult to accurately select the reference point for manual measurement, and it is impossible to accurately determine the development of the deformation of the opening of the hook. Monitoring, Analysis and Early Warning

[0004] To sum up, the current crane hook opening degree detection still has some problems in the automation degree of the detection process, detection accuracy and practicability.

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