A modular design method and system for a fully automated inspection robot

By dividing the robot system into independent modules and dynamically adjusting and optimizing them, the problems of insufficient flexibility and collaboration in existing technologies are solved, and efficient and accurate detection task execution is achieved.

CN119635642BActive Publication Date: 2026-05-26GUIZHOU POWER GRID CO LTD
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Patent Information

Application Number
CN202411892390.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-12-20
Publication Date
2026-05-26
Estimated Expiration
2044-12-20

AI Technical Summary

Technical Problem

Existing automated inspection robot systems lack flexibility and adjustability, cannot quickly adapt to different tasks and environmental changes, and have poor module collaboration, resulting in low efficiency and poor overall performance.

Method used

The robot system is divided into multiple functionally independent modules. By dynamically adjusting the combination and weight of the modules, real-time optimization is performed based on error minimization and inter-module synergy, thereby achieving the optimal selection and configuration of the modules.

Benefits of technology

It improves the system's scalability and maintainability, ensures efficient and accurate detection results in changing environments, optimizes task resource allocation through inter-module collaboration, and reduces system errors.

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Abstract

This invention discloses a modular design method and system for a fully automated inspection robot, relating to the field of automated inspection technology. The method includes: dividing the robot system into multiple functionally independent modules; acquiring the state parameters and operating parameters of each module; and generating module output data based on these parameters. During task execution, the robot optimizes its output at each task stage by dynamically adjusting the combination and weights of the modules. Module selection is based on a comprehensive evaluation of error minimization and inter-module synergy. The optimal module is selected according to real-time task and environmental changes, and the module configuration is adjusted in real-time. This invention addresses the problem that existing robot systems typically employ fixed structural designs, lacking flexibility and adjustability between modules, and unable to quickly switch and adjust between different tasks, thus affecting the overall efficiency and stability of the robot system.
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