Industrial product quality real-time monitoring method, equipment and system

Abstract

The invention provides an industrial product quality real-time monitoring method, equipment and system, relates to the technical field of networks, and aims to reduce the detection delay, facilitate industrial control equipment to quickly screen industrial products according to an analysis result of an edge cloud platform, improve the detection precision and the working efficiency and reduce the production cost of enterprises. The method is applied to an edge cloud platform, the edge cloud platform is in communication connection with industrial control equipment and a central cloud platform, and the method comprises the following steps: receiving image data of an industrial product sent by the industrial control equipment; receiving a detection model sent by the central cloud platform; utilizing the detection model to analyze and process the image data to obtain an analysis result; and feeding back the analysis result to the industrial control equipment to enable the industrial controlequipment to screen the industrial products according to the analysis result. The method is mainly used for monitoring the quality of industrial products in real time.

Description

technical field [0001] The invention relates to the field of network technology, in particular to a method, device and system for real-time monitoring of industrial product quality. Background technique [0002] Product quality is the life of an enterprise. How to improve the detection efficiency and detection accuracy of product quality has always been the focus of the enterprise. The current detection technology for product quality defects (such as the detection of auto parts gear shafts, etc.) is mainly based on industrial control equipment. The image data is sent to the central cloud, which compares and analyzes the image data with the predefined defect type library, and sends the analysis results to the industrial control equipment to complete the detection of defective products. [0003] However, with the global rise of the Internet of Everything and the explosive growth of data, the traditional single central cloud processing mode is unable to carry all of it. If the ...

AI Technical Summary

Problems solved by technology

[0003] However, with the global rise of the Internet of Everything and the explosive growth of data, the traditional single central cloud processing mode is unable to carry all of it. If the central cloud is continued to be used to test product quality, due to the explosive growth of the number of industrial equipment, the network The transmission load is too large, the occurrence of network congestion and other situations will cause a large delay in data transmission, the central cloud cannot compare and analyze the image data sent by the industrial control equipment in real time, and cannot complete the real-time detection of industrial products online, the detection efficiency is low, and the use of The processing mode of the central cloud lacks a certain learning ability and detection flexibility, and the detection accuracy cannot meet the detection requirements of product quality

Images