Double-block sleeper appearance quality detection system and method based on machine vision

Abstract

The invention relates to a double-block sleeper appearance quality detection system based on machine vision. The double-block sleeper appearance quality detection system comprises upper computer software in interactive communication with a PLC main program, a multi-axis servo linear guide rail, a sleeper transportation system and an installation frame. The upper computer software controls a scanner and a tracker through the three-dimensional data acquisition control module and the three-dimensional data analysis processing module, and controls an industrial camera and an ink-jet printer through the image data acquisition control module and the image data analysis processing module. The PLC main program controls the multi-axis servo linear guide rail and the mechanical arm to operate to drive the scanner and the tracker to carry out three-dimensional data acquisition, and the PLC main program is in interactive communication with the sleeper transportation system so that the system is compatible with the production takt of a production line. The invention further comprises a detection method using the system. The multi-index detection task of the sleeper can be completed in a highly automatic, streamlined, collaborative, efficient and high-precision mode, expansibility and universality are achieved, and the method can be applied to streamlined detection of other similar workpieces.

Description

technical field [0001] The invention belongs to the technical field of industrial measurement and image recognition, and belongs to the combination of computer science and mechanical automation, and particularly relates to a machine vision-based double-block sleeper appearance quality detection system and method, which are mainly used in high-speed rail double-block sleepers. Precision appearance and dimension inspection. Background technique [0002] The traditional double-block sleeper inspection technology mainly uses steel rulers, depth gauges, vernier calipers, foot range finders, hole slopers, feeler gauges, relative twist detectors, etc. to detect a group (4 pieces) of double-block sleepers. The sleeper takes about 5-10 minutes, the detection efficiency is low, and it consumes manpower, which cannot meet the detection needs, let alone the railway informatization vigorously promoted by the Railway Corporation. According to the requirements of the inspection specificat...

AI Technical Summary

Problems solved by technology

[0002] The traditional double-block sleeper inspection technology mainly uses steel rulers, depth gauges, vernier calipers, foot range finders, hole slopers, feeler gauges, relative twist detectors, etc. to detect a group (4 pieces) of double-block sleepers. The sleeper takes about 5-10 minutes, the detection efficiency is low, and it consumes manpower, which cannot meet the detection needs, let alone the railway informatization promoted by the Railway Corporation

According to the requirements of the inspection specification, the processing error of some inspection items is less than 0.5mm, and the inspection accuracy of the traditional method cannot fully meet the error requirements of the size inspection. Therefore, the study of new inspection technology has important engineering application value

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