Intelligent welding system for hydraulic support structural member

The intelligent welding system, through scanning modeling, identification comparison, and adaptive compensation modules, solves the problems of low quality and low efficiency caused by assembly errors in the welding of hydraulic support structural components, and achieves efficient and safe automated welding.

CN122584282APending Publication Date: 2026-08-18CHINACOAL BEIJING COAL MINING MACHINERY CO LTD
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Patent Information

Application Number
CN202610508992.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-04-17
Publication Date
2026-08-18

AI Technical Summary

Technical Problem

Existing welding robots for hydraulic support structures suffer from low welding quality and efficiency due to assembly errors, and manual teaching poses a risk of collisions, making it difficult to guarantee consistent welding quality and production efficiency.

Method used

The scanning modeling module generates a 3D model, the identification and comparison module obtains the deviation vector field and the deviation item list, the adaptive compensation module performs dynamic deformation pre-compensation and weld sequence optimization, generates welding parameters, and automates the welding process.

Benefits of technology

Real-time quantification of assembly errors reduces manual instruction and rework, avoids welding defects and collision risks, and improves welding quality consistency and production automation level.

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Abstract

The present application relates to the technical field of intelligent welding, and particularly relates to a hydraulic support structural member intelligent welding system, which is based on a hydraulic support structural member welding robot and further comprises: a scanning modeling module, which is used for scanning a current assembly area of a to-be-welded hydraulic support after assembly of each batch of parts of the to-be-welded hydraulic support is completed, and generating a three-dimensional model; an identification comparison module, which is used for locally registering and comparing the three-dimensional model with a pre-stored design drawing model, obtaining a deviation vector field representing a current assembly error, and generating a deviation item list; an adaptive compensation module, which is used for dynamically deforming and pre-compensating weldable weld seams and optimizing a welding sequence, and generating compensated welding parameters; and a welding module, which is used for generating a welding program executable by a welding robot, and enabling the welding robot to perform welding work. The present application solves the technical problems of the prior art, such as dependence on manual operation, low efficiency, high risk and poor quality.
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