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作 者:富立志 吕雄飞 FU Lizhi;LüXiongfei(China Information Consulting&Designing Institute Co.,Ltd.,Nanjing 210019,China)
机构地区:[1]中通服咨询设计研究院有限公司,江苏南京210019
出 处:《通信与信息技术》2025年第2期136-138,152,共4页Communication & Information Technology
摘 要:研究围绕电源负载均衡、能效优化、故障预测与维护三个方面展开,通过大模型优化5G通信电源系统的运行效率,减少能耗,并提高故障检测的准确性。通过对实验数据的分析和比较,验证了大模型在提高系统负载均衡性、减少功耗以及提前预测系统故障方面的显著效果。实验结果显示,采用大模型技术的优化策略能够有效提升电源系统的整体性能,减少能量消耗,并在故障发生前提供准确的预警,从而降低系统维护成本,提高可靠性。This study focuses on three aspects:power load balancing,energy efficiency optimization,and fault prediction and mainte⁃nance.Through a large-scale model,it optimizes the operational efficiency of 5G communication power systems,reduces energy consump⁃tion,and improves the accuracy of fault detection.By analyzing and comparing experimental data,the significant effects of the large mod⁃el in improving system load balancing,reducing power consumption,and predicting system failures in advance have been verified.The ex⁃perimental results show that the optimization strategy using large model technology can effectively improve the overall performance of the power system,reduce energy consumption,and provide accurate warnings before faults occur,thereby reducing system maintenance costs and improving reliability.
分 类 号:TN915[电子电信—通信与信息系统]
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