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(经济观察)中国能源领域智能化进程加速推进
Zhong Guo Xin Wen Wang· 2025-05-25 15:51
Group 1: Automation in Mining - The introduction of China's first fleet of 100 electric unmanned mining trucks at Yimin open-pit mine marks a significant advancement in mining automation, enhancing operational efficiency by 120% compared to manual driving [1] - The unmanned trucks are equipped with a 564 kWh lithium iron phosphate battery, capable of carrying 90 tons over a distance of approximately 60 kilometers, with a battery swap time of less than 6 minutes [1] - This development signifies a shift from experimental to large-scale application of autonomous driving technology in mining, accelerating the construction of smart mines in China [1] Group 2: Robotics in Nuclear Power - China has approved five new nuclear power projects, with a total installed capacity exceeding 120 million kilowatts, highlighting the growing role of nuclear energy in the country's energy transition [2] - The underwater cleaning robot for nuclear power plant intake tunnels can complete the cleaning of approximately 100,000 square meters in 90 hours, removing over 2,000 tons of marine organisms, thus improving efficiency by over 200 times compared to manual methods [2] - This innovation in robotic technology enhances safety and operational stability in nuclear power plants by reducing labor intensity and risks associated with traditional cleaning methods [2] Group 3: Smart Technologies in Gas Sector - The application of high-precision leak detection vehicles in the gas sector has significantly improved the efficiency and accuracy of pipeline inspections, with a sensitivity enhancement of 1,000 times [3] - Since June 2022, the PPB (Part per billion) level detection technology has covered 91,000 kilometers, demonstrating increased inspection efficiency and detection capability [3] - The continued development of PPB vehicles aims to enhance coverage in narrow areas, further improving the safety and precision of gas pipeline inspections [3] Group 4: Overall Industry Impact - The integration of intelligent equipment in the energy sector is leading to substantial improvements in work efficiency, precision, and safety across upstream and downstream industries, while reducing employee workload and risk [3]