基于可穿戴设备感知的变电站工作状态监测预警平台研究

Research on monitoring and early warning platform for substation work status based on wearable equipment perception

针对目前国内电力公司现役的变电站工作状态监测平台存在的若干弊端,提出了一种基于可穿戴设备感知的变电站工作状态监测预警平台。引入柔性可穿戴设备构建人体-变电站传输网感知变电站多维工作状态数据,利用模糊神经网络算法建立变电站多维工作状态数据到主动预警阈值的物理映射,具备面向差异业务的多维度视角管控与主动预警能力。以国家电网河北电力公司辖区内特高压邢台站(JS1800204)为工程应用载体,开发了基于可穿戴设备感知的变电站工作状态监测预警平台原型系统并对平台综合效能进行了实证分析,一线运维验证结果表明,所提平台在预警精确性、设备适应性、远程专家信息交互性、状态在线反馈与实时性等方面具有明显优势。

Aiming at the shortcomings of the current substation working condition monitoring platform of domestic power companies,a monitoring and early warning platform for substation working status based on wearable device sensing is proposed.The flexible wearable device is introduced to construct the human-substation transmission network to sense the multi-dimensional working state data of the substation.The fuzzy neural network algorithm is used to establish the physical mapping of the multi-dimensional working state data of the substation to the active early warning threshold.It has multi-dimensional perspective control and active early warning capability for differentiated services.Taking the UHV Xingtai Station(JS1800204)in Hebei Electric Power Company of State Grid as the engineering application carrier,aprototype system of monitoring and early warning platform for substation operation status based on wearable equipment perception is developed,and the comprehensive efficiency of the platform is analyzed empirically.The results of first-line operation and maintenance verification show that the platform mentioned in this paper is accurate in early warning.It has obvious advantages in accuracy,adaptability of equipment,information exchange of remote experts,online state feedback and real-time.