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作 者:段振华 DUAN Zhenhua(State Grid Qinghai Electric Power Company,Xining 810000,China)
出 处:《通信电源技术》2025年第6期110-112,共3页Telecom Power Technology
摘 要:随着新能源的大规模应用,电力储能设备的安全稳定运行面临严峻挑战,传统监控技术在数据采集和传输方面存在实时性差、可靠性低等问题。文章提出一种基于5G通信技术的电力储能设备实时监控技术体系,涵盖高精度传感器数据采集、5G通信数据传输、基于长短期记忆(Long Short-Term Memory,LSTM)和支持向量机(Support Vector Machine,SVM)的智能预警模型。实验结果表明,该技术体系在数据采集延迟、异常检测准确率、预警时间及系统可靠性等方面均有显著提升,为电力储能设备的安全运行提供了有效的技术支持。With the large-scale application of new energy,the safe and stable operation of electric energy storage equipment is facing severe challenges.Traditional monitoring technology has some problems in data acquisition and transmission,such as poor real-time performance and low reliability.In this paper,a real-time monitoring technology system of power energy storage equipment based on 5G communication technology is proposed,which covers highprecision sensor data acquisition,5G communication data transmission,and intelligent early warning model based on Long Short-Term Memory(LSTM)and Support Vector Machine(SVM).The experimental results show that the technical system has significantly improved in data acquisition delay,anomaly detection accuracy,early warning time and system reliability,which provides effective technical support for the safe operation of electric energy storage equipment.
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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