A device for detecting shelf beams by using ring optical fiber group

Abstract

The invention discloses a device for detecting a shelf beam by use of a ring optical fiber set, comprising a base, a conveyor belt, a proximity switch, a stopper, a push cylinder, a measurement bracket, optical fiber detection modules, a parallel light source, a closed shell, and a compression cylinder. The parallel light source is vertically mounted at the bottom of the measurement bracket. The measurement bracket is provided with a light hole corresponding to the position of the parallel light source. The optical fiber detection modules are arranged right above the measurement bracket. Each optical fiber detection module includes a group of ring optical fibers and a point optical fiber in the center of the ring optical fibers, and the inner diameter of the ring optical fibers is slightly larger than the diameter of the mounting hole of a work piece to be detected. According to the invention, the position of the mounting hole is detected by use of optical fibers, whether the parallel light source works properly is judged by use of the point optical fibers, whether the position of the mounting hole is qualified is detected by use of the ring optical fibers, detection is completed with only a few optical fiber bundles, and the cost of equipment is reduced greatly. Moreover, detection is convenient, and the precision of detection is high.

Description

technical field [0001] The invention relates to the technical field of shelf production detection, and more specifically relates to a device for detecting shelf crossbeams by using a ring optical fiber group. Background technique [0002] Modern large-scale production promotes the socialization, specialization, high mechanization and automation of industrial production, which requires that the supply of materials should be distributed in a timely, rapid and accurate manner, and also promotes the rapid development of storage technology. As a member of storage equipment, steel shelves are an indispensable part of modern logistics centers and distribution centers. Shelves are an important tool for warehouse modernization and efficiency improvement. Shelves generally refer to shelves for storing goods, and shelves are storage equipment for storing items. For example, in general stores, goods are often displayed on shelves. In order to improve the display of goods and facilitate...

AI Technical Summary

Problems solved by technology

However, the shelf beam needs to go through three processes of stamping, punching and cutting in the production process. The length detection process of the shelf beam is measured after all processes are completed. The measurement method is often manual sampling inspection; because the length detection is It is carried out after all the processes are completed. Therefore, once a fault occurs in a certain process in the production and is not found in time, it will lead to batches of unqualified products. Qualified devices are particularly necessary

[0004] In the detection process of shelf beams, the common detection method is manual detection, that is, workers use length measuring tools to manually measure the length of shelf beams, and observe whether the installation holes are qualified by visual inspection; the detection process is cumbersome and the detection accuracy is not good. High, consumes a lot of manpower, usually only manual spot checks are used for testing, and it is impossible to test all shelf beams one by one

If the method of image acquisition is used, the position of the mounting hole of the standard part is first photographed to obtain a standard image, and then the test part is photographed, and the obtained picture is image-processed with the standard image, and whether the test part is qualified by comparison Conclusion; Although this measurement method gets rid of the limitations of traditional manual measurement, the cost of industrial cameras is relatively high, and a computer is required for image processing, which will inevitably prolong the detection time, which is not conducive to reducing equipment costs and speeding up detection.

Images