Welding structural part process optimization method and system based on industrial AI technology

A welding structure and process optimization technology, applied in welding equipment, neural learning methods, design optimization/simulation, etc., to achieve the effects of maintaining product quality, improving product consistency, and good training effects

Inactive Publication Date: 2021-04-13
重庆忽米网络科技有限公司
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Aiming at the deficiencies of the above-mentioned prior art, the practical problems to be solved by the present invention include: how to improve the pa

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  • Welding structural part process optimization method and system based on industrial AI technology
  • Welding structural part process optimization method and system based on industrial AI technology
  • Welding structural part process optimization method and system based on industrial AI technology

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Embodiment Construction

[0043] The present invention will be further described in detail below in conjunction with the accompanying drawings.

[0044] Such as figure 1 As shown, the present invention discloses a process optimization method for welded structural parts based on industrial AI technology, including:

[0045] S1. Collect process data during the motorcycle frame welding process;

[0046] Through the IOT data collection of the motorcycle frame welding process, various process data can be obtained. Due to the dispersion of information collection nodes and the size of information flow, data transmission mainly uses 5G+Ethernet as the transmission form. Through this form, the scattered node data is transmitted to the Internet of Things terminal in a complete, safe and timely manner, and then transmitted to the industrial Internet cloud platform for subsequent data model processing.

[0047] S2. Extract associated feature data from process data;

[0048] In the present invention, for the pro...

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Abstract

The invention discloses a welding structural part process optimization method and system based on an industrial AI technology. The method comprises the steps of extracting associated feature data from process data in the motorcycle frame welding process; inputting the associated feature data into the trained AI model to obtain optimized process parameters; and controlling the welding equipment based on the optimized process parameters. According to the invention, the welding process data in the motorcycle frame welding process can be collected and processed, then correlation analysis is conducted on the welding process data and the measured welding error of the welded motorcycle frame, the correlation of the data is found through a model algorithm, and the production process control method for reducing the welding error is found; process data are analyzed through the AI model, feedback control is conducted by optimizing process parameters, the welding quality of the motorcycle frame can be controlled in the manufacturing process, and compared with the prior art, the one-time offline qualification rate of the welded motorcycle frame is increased, the manual correction cost is reduced, the product quality stability is kept, and the product consistency is improved.

Description

technical field [0001] The invention relates to the technical field of mechanical manufacturing structural parts welding, in particular to a process optimization method and system for welding structural parts based on industrial AI technology. Background technique [0002] Metal structure parts welding processing methods are widely used in the manufacturing industry, from large-scale construction projects, gymnasiums, and metal structure frames of exhibition centers to household appliances, engines, lawn mowers, etc. The welding deformation of metal structural parts during welding has always been a difficult problem in the industry, and it is also a difficult point in welding process control. [0003] Due to welding deformation, it is difficult to control the process in the process of parts processing. In order to meet the design technical requirements of the product, the traditional manufacturing control process can only ensure the product quality requirements by adding a l...

Claims

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Application Information

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IPC IPC(8): G06F30/15G06F30/27G06N3/04G06N3/08B23K31/02G06F111/08
CPCG06F30/15G06F30/27G06N3/086B23K31/02G06F2111/08G06N3/047G06N3/044G06N3/045
Inventor 巩书凯陈虎王成罗林
Owner 重庆忽米网络科技有限公司
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