Switch cabinet live detection method and system based on humanoid robot

By automatically acquiring detection tasks through humanoid robots, and through real-time path planning and multi-sensor data fusion analysis, the problem of low efficiency in live-line detection of switchgear has been solved, and efficient and accurate detection results have been generated.

CN121762967APending Publication Date: 2026-03-31STATE GRID HEBEI ELECTRIC POWER CO LTD XIONGAN NEW DISTRICT POWER SUPPLY CO
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Patent Information

Application Number
CN202511884043.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-15
Publication Date
2026-03-31

AI Technical Summary

Technical Problem

Current switchgear live-line testing relies on manual operation, which is inefficient and results in poor consistency of test data, making it difficult to conduct effective longitudinal comparisons.

Method used

Humanoid robots are used for live-line testing of switchgear. By parsing the testing task instructions, the target location and testing items are automatically obtained, and real-time path planning and obstacle avoidance are performed. Humanoid robotic arms are used to switch testing heads, and multi-sensor data fusion analysis and cross-validation are carried out to generate testing results.

Benefits of technology

It has achieved automation and intelligence in the live-line testing of switchgear, improved testing efficiency, ensured operational accuracy and consistency, and reduced the time consumption of repeated measurements and manual operations.

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Abstract

The invention provides a switch cabinet live detection method and system based on a humanoid robot, and relates to the technical field of power grids. The target position and the detection item are automatically obtained by analyzing the detection task instruction, and real-time path planning and obstacle avoidance are performed by fusing multi-sensor data, so that the robot can autonomously move to an operation point in an optimal path, and time consumption of reciprocating walking and positioning of personnel is avoided; by controlling the humanoid mechanical arm to automatically switch probes according to detection types and execute standardized detection actions, tedious operations of manually holding, moving and replacing instruments are thoroughly replaced, and repeated measurement caused by misoperation is avoided; real-time fusion analysis and cross validation are performed on multi-source data through a built-in algorithm, and a detection result containing a fault mode is automatically generated, so that real-time intelligent live detection of the switch cabinet is realized, the technical problem of low efficiency of live detection of the switch cabinet is solved, and the detection efficiency of live detection of the switch cabinet is improved.
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