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Two-device welding quality management system based on artificial intelligence technology

A technology of quality management and artificial intelligence, applied in welding equipment, manufacturing computing systems, instruments, etc., can solve the problems that environmental impact and human influence cannot be ruled out, abnormal causes cannot be screened, and welding problems cannot be solved, so as to eliminate the environment and Effect of human influence, reduction of risk of rework, increase of waste cost

Active Publication Date: 2021-12-10
深圳联钜自控科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, in the existing technology, it is impossible to test the two parts before and after welding, resulting in the environmental impact and human influence before welding cannot be ruled out, resulting in a decrease in welding quality and cannot be controlled. At the same time, the abnormal causes after welding cannot be screened, resulting in welding problems It cannot be solved, resulting in low welding efficiency and unnecessary waste of materials;

Method used

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  • Two-device welding quality management system based on artificial intelligence technology

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Embodiment 1

[0029] Such as figure 1 As shown, a two-piece welding quality management system based on artificial intelligence technology includes a quality management platform, a personnel selection terminal, and an analysis and detection terminal; wherein, the quality management platform, the personnel selection terminal, and the analysis and detection terminal are mutually connected by two-way communication;

[0030] The quality management platform is equipped with a server, a data acquisition unit, an operation prediction unit, and a welding detection unit, and the server is connected to the data acquisition unit, the operation prediction unit, and the welding detection unit in two-way communication; the operation prediction unit is connected by an environmental analysis unit and The material analysis unit; the welding detection unit is connected with the welder analysis unit and the weld seam analysis unit through communication;

[0031] The quality management platform is used to manage ...

Embodiment 2

[0051] A two-piece welding quality management system based on artificial intelligence technology, including an analysis and detection terminal, an efficiency analysis unit and a controller are installed in the analysis and detection terminal, and the controller and the efficiency analysis unit are connected by two-way communication;

[0052] The efficiency analysis unit is used to analyze the working efficiency of the two machines after welding, set up the same environment, select five welders, and place the two machines welded by the five welders in the same unit for testing, and collect the corresponding units of each two machines and mark them as ZL1, ZL2, ZL3, ZL4, and ZL5 respectively. If the cooling durations of the units corresponding to each of the two devices conform to the range of cooling durations, and the difference between any pair of data in the cooling durations of the units corresponding to the two devices is less than If the difference threshold is determined,...

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Abstract

The invention discloses a two-device welding quality management system based on an artificial intelligence technology, relates to the technical field of two-device welding quality management, solves the technical problem that two devices cannot be respectively detected before and after welding in the prior art, and effectively eliminates environmental and man-made influences by detecting the two devices before and after welding and predicting before welding. Man-made reasons are effectively screened out through detection after welding, so that the welding quality is guaranteed to the maximum degree, the working efficiency of welding of the two devices is effectively improved, and the reworking risk is reduced; the materials are detected, and the problems that the welding cost is increased due to equipment cooling caused by halfway welding stopping of workers due to insufficient welding materials, welding seams are cooled and shaped due to halfway welding stopping, and the welding efficiency is reduced due to welding seam spurting easily caused by secondary welding are prevented; the operation quality of the welding machine is judged through analysis according to the operation parameters of the welding machine, the welding machine is adjusted in time, and the influence on the operation cycle is effectively reduced.

Description

technical field [0001] The invention relates to the technical field of two-device welding quality management, in particular to a two-device welding quality management system based on artificial intelligence technology. Background technique [0002] The condensing evaporator is an important component of the compression air-conditioning unit, and its welding quality directly affects the efficiency and cost of the unit, and is an important indicator for evaluating the quality of the welding production line; In the refrigeration system, the throttled refrigerant liquid absorbs heat and vaporizes in the evaporator and becomes a low-pressure saturated vapor. The condenser is a component of the refrigeration system and belongs to a type of heat exchanger. It can convert gas or steam into liquid, and transfer the heat in the tube to the air near the tube in a very fast way; [0003] However, in the existing technology, it is impossible to test the two parts before and after welding...

Claims

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Application Information

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IPC IPC(8): B23K31/12G06Q10/06
CPCB23K31/125G06Q10/06395Y02P90/30
Inventor 杨学迪彭刚吴濯清
Owner 深圳联钜自控科技有限公司