基于标识传感融合的输变电设备信息感知与处理关键问题研究

The online assessment of running status and prediction of remaining life for the electric transmission and transformation equipment with advanced sensing,informating and computing technology have become an inevitable development trend of power system. Existing on-line monitoring technology has been unable to meet the requirement of smart grid, which can acquire the status information of electric transmission and transformation equipment accurately and interact with network in real time. This project will study the smart grid information perception and processing key technology based on Internet of things technology.The low voltage and low consumption and high reliability intelligent label sensing integrated chip architecture with fusion of RFID tag and sensor integration will be proposed. The deploying strategy and fusion theory and method about tag integrated with sensor are proposed. This project will propose the waking strategy of sensing device and fusion theory and method for the state information of electric transmission and transformation equipment. Based on identifying and sensing technology above, smart grid resource attribute and properties of ontology panoramic state model, the probability model, and health status intelligent decision model of power transmission and transformation equipment is also proposed. The sensing network meets the requirement of operating safely and reliably in the long term under complex operating conditions.. The research results above have important significance. It will expand the function of the system of Internet of things perceived layer, meet the need of special occasions, and enhance the application potential of the existing RFID network and sensor network. At the same time, it will reduce the complexity of monitoring network for power transmission and transformation equipment based on the technology of Internet of things, and will improve the intelligence, reliability and security of on-line monitoring for power transmission and transformation equipment. It has important significance to promote the development of smart grid as well as protect the safety of electric power.

利用先进传感、信息和计算机等相关技术，对输变电设备运行状态进行在线评估和寿命预测已成为电力系统的发展趋势。现有输变电设备在线监测技术已无法满足智能电网对设备状态信息的准确获取与网络化交互要求。本项目将深入研究基于物联网技术的输变电设备信息感知与处理关键技术，提出融合RFID标签标识及传感器传感功能一体化的低耗、抗干扰、高可靠性标签传感集成架构，提出基于上述标识传感融合的感知终端组网和部署策略，提出输变电设备状态信息的融合理论和方法以及感知终端唤醒策略，提出基于上述标识传感技术的智能电网资源属性和本体属性的一体化输变电设备状态模型、概率评估模型以及健康状态智能决策模型，满足复杂运行条件下的系统长期安全、可靠运行要求。研究成果对于扩展物联网感知层系统功能，提升现有RFID网络和传感网络应用潜力，提高输变电设备在线监测的智能性、可靠性和安全性，推进智能电网技术发展，保障电力安全具有重要意义。

利用先进传感、信息和计算机等相关技术，对输变电设备运行状态进行在线评估和寿命预测已成为电力系统的发展趋势。现有输变电设备在线监测技术已无法满足智能电网对设备状态信息的准确获取与网络化交互要求。本项目深入研究了基于物联网技术的输变电设备信息感知与处理关键技术，提出了融合标识传感的低耗、抗干扰、高可靠性智能感知终端及其长期可靠WSN组网、部署与时间、事件及查询驱动唤醒方法，提出了输变电设备状态信息的融合与数据清洗方法，以及复杂运行与环境条件下输变电状态信息高效特征提取、高准确率故障诊断与预测方法，考虑系统风险的维修及退役更新方法。在项目研究期间，主要成员包括参与项目的研究生、博士生等先后有37人次参加了国内外学术交流，何怡刚先后作为ICNC FSKD2018大会主席一次、ITC- ASIA 2018分会主席1次、高电压学术年会2017分会主席1次、ICEITSA2021大会主旨报告1次。培养研究生33名，毕业博士20名，毕业硕士12人。研究成果发表相关学术论文146篇，申请发明专利71个，授权33个，其中授权美国专利4个。项目成果分别获得省部级科技进步特等奖1项、二等奖2项。研究成果对于推进物联网在电力系统的应用，提升WSN应用能力，提高输变电设备在线监测的智能性、可靠性和安全性，推进智能电网技术发展，保障电力安全具有重要意义。