Steel roll surface quality defect detection system based on machine vision

Abstract

The invention discloses a steel roll surface quality defect detection system based on machine version. The system comprises an equipment layer, a perception layer, a data layer and an application service layer, wherein the equipment layer comprises industrial equipment covering an implementation enterprise and various working condition sensors, and is used for supplying data to restore the implementation process and running environment of a practical production service; the perception layer is connected with the equipment layer, and used for acquiring required data and files; the data layer isbuilt with an artificial intelligence algorithm based on an industrial scene, and applied to data real-time access processing, model calculation, rule judgement and real-time early warning; the application service layer is used for supplying steel plate quality analysis and guiding equipment predictive maintenance and process optimization; and the application service layer further comprises a human-machine interaction layer, and used for performing rule recording, querying steel roll information and presenting reports. The steel roll surface quality defect detection system based on machine vision has the advantages that intermittent working can be realized, and the labor cost is lowered. Moreover, high shooting accuracy is achieved, and the defect detection accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of machine vision, in particular to a machine vision-based steel coil surface quality defect detection system. Background technique [0002] In industrial production, after the steel strip is processed, in order to grasp the quality of the steel strip processing and control the quality of the finished steel strip, it is necessary to detect the defects on the surface of the steel strip. And the defect level is determined according to the detection result, for example, the defect level exceeding a preset value is determined as a defective steel strip. [0003] The traditional surface defects of steel coils are generally detected manually, with heavy workload, long working hours, and easy fatigue. Moreover, affected by the environmental factors of the site, the detection rate of defects is low, which can easily cause economic losses. Contents of the invention [0004] In order to solve the above-mentioned te...

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Problems solved by technology

[0003] Traditional steel coil surface defects are generally detected manually, with a large workload, long working hours, and easy fatigue, and are affected by the environmental factors of the site, the defect detection rate is low, and it is easy to cause economic losses

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