Power distribution room multi-mode sensing inspection robot based on visual navigation
By using a visual navigation solution that integrates binocular cameras and LiDAR, along with multimodal perception technology, the problems of low navigation accuracy and limited perception modes of power distribution room inspection robots have been solved. This has enabled high-precision navigation and all-around detection, reduced safety risks, adaptability to complex environments, and support for autonomous inspection and charging.
Patent Information
- Application Number
- CN202610154717.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-03
- Publication Date
- 2026-05-05
AI Technical Summary
Existing power distribution room inspection robots have a single navigation method, low positioning accuracy, limited perception modes, weak data processing capabilities, and poor environmental adaptability, making them unable to achieve 24-hour uninterrupted inspection and posing safety risks.
The system employs a visual navigation solution that integrates binocular cameras and LiDAR, combined with SLAM algorithm and visual feature matching technology. It integrates a multimodal perception module including infrared, sound, gas, and temperature and humidity sensing units, uses Kalman filtering algorithm for data fusion, and incorporates a tracked mobile mechanism and shock absorption components. The communication module adopts a dual-mode redundancy design.
It achieves high-precision navigation and all-round equipment status detection in complex environments, improves the accuracy of fault identification, reduces safety risks, adapts to uneven ground, ensures communication reliability, and realizes autonomous navigation, autonomous inspection and autonomous charging.