ICPRE Tracks | ICPRE 分论坛

Track 31: Intelligent Equipment Perception and Digital Operation & Maintenance in New Power Systems 新型电力系统中的智能装备感知与数字运维

Organizers / 组织者

Chair / 专题主席
Huan Pan (Professor)
潘欢(教授)
Ningxia University / 宁夏大学
Chair / 专题主席
Peng Chen (Associate Professor)
陈鹏(副教授)
Ningxia University / 宁夏大学
Chair / 专题主席
Xinyi Nie (Associate Professor)
聂新毅(副教授)
Ningxia University / 宁夏大学

Abstract / 摘要

English: The new power system is accelerating its evolution toward clean, low-carbon, and highly digitized operations. Intelligent perception and digital operation & maintenance of underlying critical equipment are the foundation for ensuring safe and reliable operation. With the integration of high-proportion renewable energy and the impact of complex electromagnetic environments, the power grid has put forward higher requirements for equipment state assessment, non-destructive cable testing, and unmanned inspection. This forum focuses on cutting-edge technologies in intelligent perception for critical equipment in new power systems, covering hot topics such as cable and transformer state assessment, intelligent photovoltaic perception, new motor design, and power battery safety warning. Experts are invited to discuss the cross-fusion of advanced sensing methods and digital twin technology in critical power equipment, promoting in-depth academic-industry exchanges and innovation.

中文: 新型电力系统正加速向清洁低碳与高度数字化方向演进,底层关键装备的智能感知与数字运维是保障其安全可靠运行的基础。随着高比例新能源接入与复杂电磁环境影响,电网对设备状态评估、电缆无损检测以及无人化巡检提出了更高要求。本论坛聚焦新型电力系统关键装备智能感知前沿技术,涵盖电缆与变压器状态评估、光伏智能感知、新型电机设计及动力电池安全预警等热点方向。邀请业内专家探讨先进传感方法与数字孪生技术在电力关键装备中的交叉融合,推动产学研深度交流与创新发展。

Topics / 主题

  • Non-destructive testing and intelligent diagnosis of power equipment (e.g., cables, transformers)
  • Unmanned inspection and intelligent sensing for renewable energy plants (PV/Wind)
  • New motor design and high-performance drive control technology
  • Power battery management and efficient energy conversion technology for EVs
  • Online sensing of thermal runaway and equipment-level active safety protection for electrochemical energy storage
  • Application of AI and digital twin in intelligent equipment state assessment and energy coordination
  • Advanced sensing mechanisms and edge computing collaborative processing in complex electromagnetic environments
  • Data-driven and digital twin applications in equipment fault diagnosis and predictive maintenance
  • 电力设备(如电缆、变压器等)无损检测与智能诊断技术
  • 新能源场站(光伏/风电)无人巡检与智能感知技术
  • 新型电机设计与高性能驱动控制技术
  • 动力电池管理与电动汽车高效能量转换技术
  • 电化学储能系统热失控在线感知与装备级主动安全防护技术
  • AI与数字孪生在智能装备状态评估与能源协同中的应用
  • 复杂电磁环境下先进传感机制与边缘计算协同处理技术
  • 数据驱动与数字孪生在装备故障诊断与预测性维护中的应用