Chair / 主席:
Wu Lu, Associate Professor / 副教授, Shanghai University of Electric Power / 上海电力大学

Co-Chairs / 共同主席:
Xiaolong Li, Associate Professor / 副教授, Shenyang University of Technology / 沈阳工业大学
Yingqiang Shang, Senior Engineer / 高级工程师, State Grid Beijing Electric Power Company / 国网北京市电力公司

Under the background of accelerating dual-carbon goals and energy-electricity transition, the high proportion of new energy integration and the increasing complexity of power grid structures have led to a surge in accident risks induced by latent defects in key equipment. Traditional monitoring technologies are difficult to meet the operation and inspection needs of diverse scenarios such as high salt spray in far-reaching offshore areas and strong electromagnetic environments, as well as new electrical equipment like megawatt-level new energy stations and flexible DC transmission equipment.

This forum focuses on advanced sensing technologies for core equipment in power generation, transmission, and distribution. Covering directions such as multi-modal data fusion, early intelligent warning of defects, and R&D of low-cost sensing technologies, it aims to build a cross-disciplinary exchange platform. It will promote the implementation of quantum sensing, AI empowerment, digital twin and other technologies, solve challenges like adaptability to extreme environments and low-power deployment, and provide technical support for the safe and efficient operation of power systems and energy transition.

在双碳目标与能源电力转型加速推进背景下，新能源高比例接入、电网形态复杂化使关键设备潜伏性缺陷诱发的事故风险激增。传统监测技术难以适配深远海高盐雾、强电磁等多元场景及兆瓦级新能源场站、柔性直流传输类设备等新型电工装备的运检需求。

本论坛聚焦发电、输配电核心设备先进感知技术，涵盖多模态数据融合、缺陷早期智能预警、低成本传感技术研发等方向。旨在搭建跨领域交流平台，推动量子传感、AI赋能、数字孪生等技术落地，破解极端环境适应性、低功耗部署等难题，为电力系统安全高效运行与能源转型提供技术支撑。

1. Hazard characteristics and adaptive sensing technologies for key equipment in new energy power generation / 新能源发电关键设备的风险特性与适配传感技术
2. Early and accurate warning technologies for hazards in core equipment of transmission systems / 输电系统核心设备的风险早期精确预警技术
3. Low-cost and high-reliability sensing solutions for distribution networks / 配电网低成本高可靠传感解决方案
4. Multi-sensor fusion technologies in power systems / 电力系统中的多传感器融合技术
5. Applications of emerging sensing technologies driven by quantum, AI, and digital twins / 量子、AI 与数字孪生等驱动的新型传感技术应用
6. Adaptive optimization of power equipment sensing technologies in extreme environments / 极端环境下电力设备传感技术的适应性优化
7. Other related topic directions / 其他相关议题方向

• Xianhao Fan, Tsinghua University / 范贤浩 清华大学
• Yandan Jiang, Zhejiang University / 姜燕丹 浙江大学
• Yiming Zang, Shanghai Jiao'tong University / 臧亦铭 上海交通大学
• Chenglong Jia, Zhengzhou University of Aeronautics / 贾成龙 郑州航空工业管理学院