Data optimization method and system for welding data of a cabinet based on big data
By using big data-based methods, multiple welding nodes in the rack welding area are identified, the welding path is made coherent, and the real-time welding position of the intelligent welding gun is matched with the welding data through a big data network. This solves the problem of precise control of unwelded paths during rack welding, and improves the accuracy of welding level control and welding quality.
CN122400907APending Publication Date: 2026-07-17NINGBO XIONGFENG MASCH CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- NINGBO XIONGFENG MASCH CO LTD
- Filing Date
- 2026-04-15
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
In existing technologies, the welding data of unwelded paths and intelligent welding guns cannot be effectively controlled during the cabinet welding process, resulting in low precision in welding level control.
Method used
By using big data-based methods, multiple welding nodes in the cabinet welding area are identified, the welding path is made coherent, and the welding data is matched with the real-time welding position of the smart welding gun and the big data network to mark and optimize the welding level of unwelded nodes.
Benefits of technology
It achieves precise control of unwelded paths and welding data of intelligent welding guns, improving the accuracy of welding level control and welding quality.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN122400907A_ABST
Abstract
本发明公开了一种基于大数据的机柜的焊接数据的数据优化方法以及系统，本发明涉及大数据的技术领域，基于智能焊枪的实时焊接位置、直线段和拐弯段的对比而确定智能焊枪的未焊接路径，并结合智能焊枪的焊接数据在同一大数据网络中进行数据匹配，以确定各个未焊接节点的焊接数据组合，实现未焊接路径和智能焊枪的焊接数据的大数据管控。若当前的未焊接节点的焊接等级低于预设焊接等级，则标记对应的焊接异常区域，根据该焊接异常区域和对应的焊接数据确定异常焊接数据，并结合下一个的未焊接节点触发焊接数据的数据优化，综合考虑异常焊接数据和下一个的未焊接节点，实现了焊接数据的数据优化，提高下一个的未焊接节点的焊接等级的调控精准性。
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