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基于5G的电力输配电线路异常检测系统设计

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文章设计了一种基于 5G的电力输配电线路异常检测系统,以提高线路异常监测的智能化水平.系统结合分布式光纤振动传感器、微气象站、高清摄像头等多种设备,通过5G的高速、低时延网络进行数据传输与融合分析,采用卷积神经网络和小波变换等算法处理多模态数据,精准检测和快速定位覆冰、金具腐蚀等多类故障.实验结果表明,该系统具备高检测率、低误报率和快速响应能力,能够有效保障电网的安全稳定运行.
Design of Anomaly Detection System for Power Transmission and Distribution Lines Based on 5G Communication
Propose a 5G based power transmission and distribution line anomaly detection system to improve the intelligence level of line anomaly monitoring.The system combines various devices such as distributed fiber optic vibration sensors,micro weather stations,and high-definition cameras,and transmits and integrates data through a high-speed,low latency 5G network for analysis.By using convolutional neural networks and wavelet transform algorithms to process multimodal data,accurate detection and rapid localization of multiple types of faults such as icing and metal corrosion have been achieved.The experimental results show that the system has high detection rate,low false alarm rate,and fast response capability,which can effectively ensure the safe and stable operation of the power grid.

5Gpower transmission and distributionabnormal detection

李冲、张龙

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山东联诚电力工程有限公司,山东 济南 250000

5G 电力输配电 异常检测

2024

通信电源技术
武汉普天通信设备集团有限公司

通信电源技术

影响因子:0.389
ISSN:1009-3664
年,卷(期):2024.41(23)