Quality detection intelligent control method and device, terminal equipment and storage medium

Abstract

The embodiment of the invention discloses a quality detection intelligent control method and device, terminal equipment and a storage medium. According to the method, an order sampling plan is generated according to a production order, so that detection personnel can carry out sampling detection to obtain a sampling detection result, the sampling detection result comprises qualified product information and unqualified product information, the sampling detection result uploaded by the detection personnel is received, for the unqualified product information in the sampling detection result, related personnel are notified to require rectification at the same time, and rectification information fed back by the related personnel is received, so that the whole detection process is automatically completed under the control of a background management system, data tracing in the detection process is realized, and when a received sampling detection result contains unqualified product information, the background management system automatically notifies related personnel to rectify, so that unqualified products are rectified in time, intelligent sampling detection of the products is realized, and the detection efficiency of the products is improved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of product quality inspection, and in particular to an intelligent control method, device, terminal equipment and storage medium for quality inspection. Background technique [0002] At present, in the quality inspection process of some products, such as refrigerators, after the production is completed, it is necessary to conduct quality inspections on various functions of the refrigerators, including product information, appearance, functional modules, and performance. detection. [0003] The existing detection method is that the quality inspection personnel conduct manual inspection, and manually record the inspection information in paper documents, and manually record information such as problems, rectification plans, and inspection personnel in subsequent inspections in paper documents. Quality inspectors take paper documents to sign for confirmation. However, this method has t...

AI Technical Summary

Problems solved by technology

[0003] The existing detection method is that the quality inspection personnel conduct manual inspection, and manually record the inspection information in paper documents, and manually record information such as problems, rectification plans, and inspection personnel in subsequent inspections in paper documents. Quality inspectors take paper documents to sign for confirmation. However, this method has the following disadvantages: 1) If all refrigerators are randomly inspected, the sampling data will be large, the workload will be large, and the sampling workers will randomly sample, which will easily cause refrigerators to miss inspection and affect the product. 2) The sampling inspection information is manually recorded in paper documents, the data is too much and messy, the data is not easy to save, and the data cannot be traced; 3) When a defective refrigerator is detected, the production station cannot be notified in time , the cause and solution of the defect cannot be notified to the production station, the process of sending the notification information is slow, and the cost is high; 4) When the refrigerator has a defect, it is impossible to trace back whether the correction of the refrigerator after the defect is closed

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