Paper
9 August 2024 Design of a camera array-based data center intelligent inspection robot system
Linfeng Zhang, Rui Feng, Yang Li, Longchuan Yan, Tao Jia, Lefeng Zhang, Xuan Zhao
Author Affiliations +
Proceedings Volume 13220, Third International Conference on Mechatronics and Mechanical Engineering (ICMME 2024); 1322014 (2024) https://doi.org/10.1117/12.3039470
Event: International Conference on Mechatronics and Mechanical Engineering (ICMME 2024), 2024, Xi'an, China
Abstract
Traditional data center usually conducts asset management manually, which is costly and error-prone. For large data centers, intelligent asset management is of great significance. Intelligent inspection robots, as a substitute for manual inspection methods, have been widely used in various industries. This article first studies a real-time positioning and mapping technology that integrates multi-sensor data. The robot achieves high-precision autonomous indoor navigation and positioning with positioning errors less than 2 cm. Then, an image recognition technology that can remove occlusion was studied. It reads the detailed information of the equipment inside the cabinet through the cabinet grid door. The experimental results show that the recognition accuracy of the QR code on the equipment inside cabinet can reach97.2%. Finally, an intelligent inspection robot system was built to conduct 24-hour intelligent inspection of the data center.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Linfeng Zhang, Rui Feng, Yang Li, Longchuan Yan, Tao Jia, Lefeng Zhang, and Xuan Zhao "Design of a camera array-based data center intelligent inspection robot system", Proc. SPIE 13220, Third International Conference on Mechatronics and Mechanical Engineering (ICMME 2024), 1322014 (9 August 2024); https://doi.org/10.1117/12.3039470
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KEYWORDS
Cameras

Data centers

Inspection

Gallium nitride

Image enhancement

Intelligence systems

Design

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