SIASUN(SZ:300024) Xin Hua She·2025-10-04 12:30Core Viewpoint - The integration of intelligent robots in the power supply sector during the National Day and Mid-Autumn Festival holidays in Hubei showcases the transformative impact of digital technology on daily operations and safety measures in electricity supply [1][3]. Group 1: Robot Implementation - A humanoid robot at a charging station in Huangshi, Hubei, interacts with electric vehicle owners, demonstrating its capabilities beyond basic functions such as walking [3]. - The robot, standing at 130 cm, has been programmed to perform tasks like opening cabinet doors, pressing buttons, and handing over tools, indicating advancements in its functionality [3]. - The local power department is conducting pilot programs for robot operations, with plans for further development to enhance service in charging stations, emergency responses, and equipment handling [3][4]. Group 2: Efficiency and Automation - Approximately 90% of inspection tasks have been replaced by robots and AI devices, significantly reducing the time required for inspections from 3 hours to just 30 minutes for human verification [4]. - The Hubei power sector has actively promoted the deep application of AI technologies, leading to improved fault response and reduced unplanned outages [4]. Group 3: Power Supply Statistics - During the 14th Five-Year Plan period, Hubei's total electricity consumption has seen an average annual growth rate of 6.1%, with current consumption and peak load approximately 1.5 times that of 2020 [5]. - The average power outage duration in Hubei has decreased from 13 hours in 2020 to 5 hours in 2024, with a notable reduction to 0.86 hours from January to August this year [5]. Group 4: Advanced Inspection Technologies - The introduction of track-based inspection robots at substations allows for real-time monitoring and data transmission, enhancing operational efficiency [5]. - These robots are equipped with high-definition visual recognition systems and infrared thermal imaging cameras, capable of autonomously identifying operational statuses and detecting temperature anomalies [5].