A detection robot for a pipeline built-in steel wire rope and a control method thereof
By designing an inspection robot suitable for steel wire ropes inside pipelines, and employing a rotation obstacle avoidance mechanism and a ring mechanism, combined with visual sensors and closed-loop control, the limitations of traditional inspection methods have been overcome. This enables synchronous and visual inspection of the pipeline inner wall and the built-in steel wire rope, improving the comprehensiveness and accuracy of the inspection, adapting to complex environments, and reducing the intensity of manual labor.
CN122107227AActive Publication Date: 2026-05-29XUZHOU NORMAL UNIVERSITY
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- XUZHOU NORMAL UNIVERSITY
- Filing Date
- 2026-04-30
- Publication Date
- 2026-05-29
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Figure CN122107227A_ABST
Abstract
The application discloses a kind of detection robot for pipeline built-in steel wire and control method thereof, belong to pipeline robot technical field, it includes body mechanism, walking mechanism and controller, body mechanism contains index obstacle avoidance mechanism and two axial symmetry ring body mechanism, ring body mechanism is made of telescopic link positive polygon structure, shell plate is equipped with protective shell, camera frame with chute and visual sensor;Walking mechanism is symmetrically laid walking wheel group, contains driving link and driving wheel assembly;Index obstacle avoidance mechanism is equipped with driving part and driven part.The application takes controller as core, combines multi-sensor closed-loop feedback control, realizes into pipe positioning, pipeline and steel wire synchronous visual detection, designs wheel body skid adjustment scheme and accurate obstacle avoidance process.The application can realize pipeline inner wall and built-in steel wire synchronous visualization, non-invasive detection, and adapt to different pipe diameters, can walk stably in complex pipeline environment, accurate obstacle avoidance, improve detection operation efficiency and accuracy.
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