System and method for real-time workpiece surface detection and tool life prediction

Abstract

The invention provides a real-time workpiece surface detection and cutter life prediction system and method. The method comprises the steps: collecting the image data of a workpiece machined by CNC equipment through an image collection module, transmitting the image data to an edge gateway, and deploying a workpiece surface detection module and a cutter life prediction module through the edge gateway; the workpiece surface detection module is used for carrying out feature extraction and surface detection on collected image data, the tool life prediction module is used for carrying out real-time tool life prediction through image data after feature extraction, a prediction result is transmitted to a cloud end, and related contents are displayed on an operation and maintenance webpage in real time. The current service life state of the cutter is reflected in real time by indirectly utilizing the workpiece precision, the method has higher accuracy and timeliness compared with a method for detecting the working frequency or working time of the cutter, the method is simpler and more visual compared with a method for analyzing by collecting sensor signals of various cutters, product quality inspection can be directly completed, and the product quality inspection efficiency is improved. And inferior-quality products or waste products are picked out in time.

Description

technical field [0001] The patent of the present invention relates to the technical fields of edge computing and CNC machine tools, in particular to a system and method for real-time workpiece surface detection and tool life prediction based on edge computing. Background technique [0002] In metal processing and manufacturing, accurate detection of tool status can bring huge benefits to the industry and improve the safety and stability of processing. If the status of cutting tools cannot be accurately predicted, it will often increase the defective rate of the products processed by the enterprise, waste a lot of money, and the consideration of enterprises in purchasing cutting tools will also be affected. There are so many factors affecting tool life that it cannot be judged from one aspect. Most enterprises use timing or counting methods to predict tool life, but the real state of each knife cannot be accurately predicted, resulting in reduced tool life and increased defe...

AI Technical Summary

Problems solved by technology

[0004] Based on the existing technical defects, the present invention proposes a system and method for real-time workpiece surface detection and tool life prediction. Based on edge computing, it is used to solve the problems of low accuracy of tool life prediction in the industrial field and poor real-time performance of cloud data. Improve the accuracy of tool life prediction in the industrial field, improve the real-time performance of cloud data, save the materials used to manufacture tools, and make it suitable for the industrial field

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