Method and system for detecting and classifying defective products

Abstract

The invention discloses a defective product detection and classification method and system. The method includes the steps of information import and processing, wherein according to the product type parameters, product information is imported, to-be-detected product parameters are converted into measurement files required by a three-coordinate measuring instrument, and the measurement files are sent to the three-coordinate measuring instrument; product detection, wherein a batch processing program is inserted in a three-coordinate measuring program and a signal is sent to start the three-coordinate measuring instrument to conduct a test; comparison, wherein data measured through the three-coordinate measuring instrument are received for judgment and RFID labeling equipment is controlled according to the judgment result; and production classification, wherein a detection signal of an RFID scanner is received and a working signal is sent to control a discharging device to arrange qualified products and disqualified products in a classified manner. By the adoption of the method and system, the shape and size of the products are automatically detected for classification, the automation degree is high, the influences caused by human factors on the detection and classification processes are avoided, detection and classification accuracy is guaranteed, the labor cost is reduced for an enterprise, and detection efficiency is improved.

Description

technical field [0001] The invention relates to a detection and classification method and system, in particular to a defective product detection and classification method and system. Background technique [0002] Product testing is an indispensable step in the production process of various production and processing enterprises. It refers to the work process of checking whether various raw materials, semi-finished products and finished products meet specific technical standards and specifications with tools, instruments or other analytical methods. [0003] In the inspection process of various products, the shape and size inspection of the product is a very important inspection index. Due to the lack of automatic equipment and systems that can accurately detect the shape and size of the product and classify the product, the existing When inspecting product shape and size, it is often necessary to manually use designated measuring tools to manually check whether the shape and ...

AI Technical Summary

Problems solved by technology

[0003]In the inspection process of various products, the shape and size inspection of products are very important inspection indicators. Due to the lack of accurate product shape and size inspection Automatic equipment and systems for detecting and classifying products, so that when the existing process is inspecting product shape and size, it is often necessary to manually use designated measuring tools to manually detect whether the shape and size of the product on the assembly line meet the requirements. After the inspection is completed , and then the products that meet the requirements and the products that do not meet the requirements are placed separately

[0004] Manual testing has high requirements for staff. If the testing method is inaccurate or the measuring tool is used improperly or the testing is insufficient or the standard value to be achieved is not clear, it may cause various testing errors, so that qualified products are identified as Unqualified products or unqualified products are identified as qualified products, which will greatly reduce the accuracy and effectiveness of the test results

[0005] On the other hand, once the inspectors are negligent, missed inspections are very likely to occur, and the occurrence of missed inspections will further affect the adequacy and effectiveness of inspections

[0006] Furthermore, since qualified products and unqualified products need to be manually placed separately, once the staff is negligent, placed incorrectly, or directly placed in different placement areas after missing inspection, the influence of artificial factors will be further superimposed, increasing The possibility of further reduction in the accuracy and effectiveness of detection and classification results

[0007] Furthermore, manual testing and product classification are not only labor-intensive, but also take a certain amount of time to manually test and classify a product, so the efficiency of inspection and classification is also low, and to improve the efficiency of inspection and classification must increase Experienced inspection and classification personnel, which will also increase the labor cost of the enterprise

[0008] Finally, since there are often large differences in the shape and size parameters of various products, different testing fixtures are required for testing. Therefore, for companies with a wide variety of products, the cost of equipment will also increase, and the market There are few reports on the equipment and system for automatic detection and classification of product shape and size with strong versatility and wide application range.

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