Design of a camera array-based data center intelligent inspection robot system

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.