信息通信技术与政策

信息通信技术与政策

信息通信技术与政策 ›› 2022, Vol. 48 ›› Issue (3): 55-63.doi: 10.12267/j.issn.2096-5931.2022.03.009

专题:低碳算力 上一篇    下一篇

数据中心不间断电源蓄电池智能预维系统及技术研究

Research on intelligent prediction and maintenance system and technology of UPS battery in data center

张子婷1, 曾宇1, 任宏丹1, 孟锐2   

  1. 1.中国电信股份有限公司研究院,北京102200
    2.北京邮电大学,北京 100876
  • 收稿日期:2022-01-28 出版日期:2022-03-15 发布日期:2022-03-25
  • 作者简介:
    张子婷 中国电信股份有限公司研究院工程师,主要研究方向为网络人工智能、意图网络、安全等|曾宇 中国电信股份有限公司研究院高级工程师,博士,IDC节能产品线主管,主要研究方向为 AI、5G、网络智能化等|任宏丹 中国电信股份有限公司研究院工程师,主要研究方向为网络AI、云计算、NFV等|孟锐 北京邮电大学博士在读,主要研究方向为人工智能、物理层安全、接入认证、隐私保护等

ZHANG Ziting1, ZENG Yu1, REN Hongdan1, MENG Rui2   

  1. 1. Beijing Research Institute, China Telecom, Beijing 102200, China
    2. Beijing University of Posts and Telecommunication, Beijing 100876, China
  • Received:2022-01-28 Online:2022-03-15 Published:2022-03-25

摘要:

不间断电源蓄电池是保障数据中心稳定运行的重要组成部分,其自身的安全性关系着电力系统的可靠和稳定。为了避免蓄电池的故障引起电力事故的发生,蓄电池的监测和运维管理近年来受到学界和业界的关注。通过分析当前数据中心不间断电源蓄电池预维管理的3个发展阶段,提出了集监控系统、灵活告警、资产管理、故障预测于一体的智能预维管理系统,并进一步总结了用于蓄电池健康监测、异常检测和性能预测的机器学习算法。

关键词: 数据中心, UPS蓄电池, 智能管理系统, 机器学习

Abstract:

UPS battery is an important component to ensure the stable operation of the data center, and its safety is related to the reliability and stability of the data center power system. In recent years, the monitoring, operation, and maintenance management of batteries have attracted the attention of academia and industry to avoid the occurrence of power accidents caused by battery failure. Three development stages of operation and management of UPS battery in the current data center are analyzed. An intelligent operation and management system is proposed, integrating the monitoring system, flexible alarm, asset management, and fault prediction. The algorithms for batteries’ health monitoring, anomaly detection, and performance prediction are further summarized.

Key words: data center, UPS battery, intelligent management system, machine learning

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