Intelligent operation and maintenance robots integrate a series of advanced technologies such as artificial intelligence, the Internet of Things, AI algorithms, and big data analysis to achieve multi-dimensional data collection, fusion, analysis, and decision-making. They possess a range of intelligent capabilities, including three-dimensional environmental perception, autonomous planning and navigation, remote control interaction, and intelligent guidance. These robots can replace manual labor in performing daily tasks in data centers, and use technology to improve operation and maintenance activities to ensure high availability of data centers, and enhance on-site operation and maintenance efficiency.
The robots support remote control, enabling quick access to on-site conditions. Furthermore, users can efficiently control robot clusters to perform corresponding operations, improving operation and maintenance management efficiency.
The robots can automatically plan inspection routes, support autonomous obstacle avoidance, and eliminate the need for manual input. During mobile inspections, the robots can collect equipment and environmental data through various on-board sensors, and detect anomalies that humans may not notice. This enables full coverage of data center equipment and environmental indicators, accurately monitoring the real status of the data center, and significantly reducing the risk of missed or false detections.
The system supports recognition of equipment indicators, automatically identifying the operational status of devices. While saving a significant amount of labor, it also avoids missed or false detections caused by factors such as the inspector's sense of responsibility, operation and maintenance experience, and physical or psychological state, thus improving the quality of inspections.
It supports intelligent guidance functions within the computer rooms. The robots can recognize personnel identities and authority, obtain corresponding task information, and guide users to designated locations based on the task's location information. This saves the time of maintenance personnel on searching for work locations, allowing them to focus more efficiently on high-value tasks and making better use of human resources.
The robots can serve as a platform for multi-party remote video conferences, providing video communication between on-site and off-site personnel. This allows on-site staff to receive immediate technical support from remote experts, ensuring timely troubleshooting.
