随着舰船信息基础设施应用范围的拓展,其运维呈现出管控种类多样、健康管理智能、运维操作易用、设备保障迭代快速等特点,对运维智能化水平提出了新挑战。本文通过梳理运维技术的发展历程和舰船信息基础设施运维现状,深入分析舰船信息基础设施的运维特点,提出舰船信息基础设施智能运维的内涵,构建符合舰船信息基础设施特点的智能运维体系,并分析智能运维所需的关键技术,为舰船信息基础设施智能运维系统设计及应用实践提供参考。
With the expansion of the application scope of ship information infrastructure, its operation and maintenance presents the characteristics of diverse types of management and control, intelligent health management, easy operation and maintenance operation, and rapid iteration of equipment support, which poses new challenges to the intelligent level of operation and maintenance. This paper analyzes the development process of operation and maintenance technology and the current situation of ship information infrastructure operation and maintenance, deeply analyzes the operation and maintenance characteristics of ship information infrastructure, puts forward the connotation of intelligent operation and maintenance of ship information infrastructure, constructs an intelligent operation and maintenance system that conforms to the characteristics of ship information infrastructure, and analyzes the key technologies required for intelligent operation and maintenance, so as to provide reference for the design and application practice of intelligent operation and maintenance system of ship information infrastructure.
2024,46(19): 151-156 收稿日期:2023-12-21
DOI:10.3404/j.issn.1672-7649.2024.19.027
分类号:U674.7;TP301.6
作者简介:李富合(1991-),男,硕士,工程师,研究方向为舰船信息基础平台
参考文献:
[1] 董晓明. 新一代水面作战系统发展理念及途径[J]. 中国舰船研究, 2015, 10(1): 1-6.
DONG Xiaoming. Development concepts and approaches of the next generation combat system for surface combatant ships[J]. Chinese Journal of Ship Research, 2015, 10(1): 1-6.
[2] 马辰, 张小凡, 李宁. 舰艇信息基础设施研究进展[J]. 中国舰船研究, 2022, 17(6): 1-14.
MA Chen, ZHANG Xiaofan, LI Ning. Development of ship information infrastructure[J]. Chinese Journal of Ship Research, 2022, 17(6): 1-14.
[3] 郑立. DCIM赋能数据中心智能化运维[J]. 电信技术, 2019(9): 43-49.
ZHENG Li. DCIM empowers intelligent operation and maintenance of data centers[J]. Telecommunication Technology, 2019(9): 43-49.
[4] 李洁, 郭亮, 谢丽娜. 数据中心发展综述[J]. 信息通信技术与政策, 2021, 47(4): 13-18.
LI Jie, GUO Liang, XIE Linan. Overview of data center development[J]. Information and Communications Technology and Policy, 2021, 47(4): 13-18.
[5] 中国信息通信研究院. 数据中心智能化运维发展研究报告[EB/OL]. http://www.caict.ac.cn/kxyj/qwfb/ztbg/202303/P020230323582881859045.pdf,2023-03-23/2023-11-07.
[6] 开放数据中心委员会. 数据中心智能监控管理白皮书[EB/OL]. https://www.odcc.org.cn/download/24,2021-09-15/2023-11-07.
[7] 中国信息通信研究院. 数据中心白皮书2022[EB/OL]. http://www.caict.ac.cn/kxyj/qwfb/bps/202204/t20220422_400391.htm, 2022-04-22/2023-11-07.
[8] 包航宇, 殷康璘, 曹立, 等. 智能运维的实践: 现状与标准化[J]. 软件学报, 2023, 34(9): 4069-4095.
BAO Hangyu, YIN Kanglin, CAO Li, et al. AIOps in practice: status quo and standardization[J]. Journal of Software, 2023, 34(9): 4069-4095.
[9] 邱志明, 孟祥尧, 马焱, 等. 海上无人系统发展及关键技术研究[J]. 中国工程科学, 2023, 25(3): 74-83.
QIU Zhiming, MENG Xiangyao, MA Yan, et al. Development and key technologies of maritime unmanned systems[J]. Strategic Study of CAE, 2023, 25(3): 74-83.
[10] 胡剑, 杨建军, 蔡文涛. 某型无人艇综合健康管理系统分析[J]. 中国舰船研究, 2021, 16(1): 151-157.
HU Jian, YANG Jianjun, CAI Wentao. Analysis of integrated health management system for unmanned surface vehicle[J]. Chinese Journal of Ship Research, 2021, 16(1): 151-157.
[11] 金克帆, 王鸿东, 易宏, 等. 海上无人装备关键技术与智能演进展望[J]. 中国舰船研究, 2018, 13(6): 1-8.
JIN Kefan, WANG Hongdong, YI Hong, et al. Key technologies and intelligence evolution of maritime UV[J]. Chinese Journal of Ship Research, 2018, 13(6): 1-8.
[12] 钟诗胜, 张永健, 付旭云. 智能运维技术及应用[M]. 北京: 清华大学出版社, 2022
[13] 高东林, 秦红磊, 刘佳. 舰船显控设备测试性建模与应用研究[J]. 舰船电子工程, 2023, 43(4): 82-88.
GAO Donglin, QIN Honglei, LIU Jia. Analysis and application of testability modeling for shipboard display and control equipment[J]. Ship Electronic Engineering, 2023, 43(4): 82-88.
[14] 杨俊峰, 王红军, 冯昊天, 等. 基于数字孪生模型的设备故障诊断技术[J]. 设备管理与维修, 2021(9): 128-130.
YANG Junfeng, WANG Hongjun, FENG Haotian, et al. Equipment fault diagnosis technology based on digital twin model[J]. Equipment Management and Maintenance. Plant Maintenance Engineering, 2021(9): 128-130.
[15] 高金吉. 工业互联网赋能装备智能运维与自主健康[J]. 计算机集成制造系统, 2019, 25(12): 3013-3025.
GAO Jinji. Intelligent maintenance and autonomous health of equipments enabled by industrial Internet[J]. Computer Integrated Manufacturing Systems, 2019, 25(12): 3013-3025.
[16] 穆彤娜, 于洪敏, 张雪胭. 设备健康管理研究综述[C]//Intelligent Information Technology Application Association. Economic, Education and Management(ICEEM 2011 V2). Macau, China : Engineering Technology Press, 2011: 486-489.
[17] 中国信息通信研究院. 中国XOPS应用创新发展研究报告[EB/OL]. http://www.caict.ac.cn/kxyj/ qwfb/ztbg/202301/t20230109_413843.htm,2023-01-09/2023-11-28.
[18] 桂士宏, 邹念洋, 李楠. 国外军用领域人工智能发展规划及舰船智能化技术运用[J]. 舰船科学技术, 2020, 42(7): 174-177.
GUI Shihong, ZOU Nianyang, LI Nan. Development planning of artificial intelligence in foreign military field and application of ship intelligence technology in abroad[J]. Ship Science and Technology, 2020, 42(7): 174-177.
[19] GE Aviation. GE signs digital contract with military sealift command to improve mission readiness[EB/OL]. https://www.businesswire.com/news/home/20180205005801/en/GE-Signs-Digital-Contact-Military-Sealift-Command,2018-02-05/2023-12-05.
[20] Harper J. Navy to deploy new tech to prevent maintenance problems[EB/OL]. https://www.nationaldefensemagazine.org/articles/2022/3/11/navy-to-deploy-new-tech-to-prevent-maintenance-problems,2022-03-11/2023-12-05.
[21] 李凯, 钱浩, 龚梦瑶, 等. 基于数字孪生技术的数字化舰船及其应用探索[J]. 船舶, 2018, 29(6): 101-108.
LI Kai, QIAN Hao, GONG Mengyao, et al. Digital warship and its application exploration based on digital twin technology[J]. Ship & Boat, 2018, 29(6): 101-108.
[22] 高东林, 秦红磊, 李富合. 舰载电子设备健康管理的系统工程方法研究[J]. 舰船电子工程, 2020, 40(6): 162-167.
GAO Donglin, QIN Honglei, LI Fuhe. Research on system engineering method of health management of shipboard electronic equipment[J]. Ship Electronic Engineering, 2020, 40(6): 162-167.
[23] 许萌萌, 张成伟, 梅顺峰, 等. 基于数据大脑的船岸一体机舱智能运维系统研究设计[J]. 中国舰船研究, 2022, 17(6): 79-87.
XU Mengmeng, ZHANG Chengwei, MEI Shunfeng, et al. Research and design of ship-shore integrated engine room intelligent operation and maintenance system based on data brain[J]. Chinese Journal of Ship Research, 2022, 17(6): 79-87.
[24] 张侨禹, 宋汉江, 李良才, 等. 基于数字孪生的舰船动力系统智能运维技术[J]. 中国舰船研究, 2022, 17(S1): 73-80.
ZHANG Qiaoyu, SONG Hanjiang, LI Liangcai, et al. Marine power system intelligent operation and maintenance platform based on digital twin[J]. Chinese Journal of Ship Research, 2022, 17(S1): 73-80.
[25] 潘镜芙, 董晓明. 水面舰艇作战系统的回顾和展望[J]. 中国舰船研究, 2016, 11(1): 8-12.
PAN Jingfu, DONG Xiaoming. Review and prospect of the combat system for surface combatant ships[J]. Chinese Journal of Ship Research, 2016, 11(1): 8-12.
[26] 方雄兵, 陈颖, 李涛涛, 等. 舰船虚拟维修仿真应用系统的设计与实现[J]. 中国舰船研究, 2016, 11(6): 136-144.
FANG Xiongbing, CHEN Ying, LI Taotao, et al. Design and implementation of the ship virtual maintenance simulation application system[J]. Chinese Journal of Ship Research, 2016, 11(6): 136-144.
[27] 赵海涛 , 陈义平. 一种软件定义舰艇作战系统实现方法[J]. 指挥控制与仿真, 2022, 44(6): 51-56.
ZHAO Haitao , CHEN Yiping. A realizable method of software-defined warship combat system[J]. Command Control and Simulation, 2022, 44(6): 51-56.
[28] 孙光甦, 原宗, 关静. 舰船综合保障体系综述[J]. 中国舰船研究, 2020, 15(1): 89-94.
SUN Guangsu, YUAN Zong, GUAN Jing. A review of integrated logistics support systems for ships[J]. Chinese Journal of Ship Research, 2020, 15(1): 89-94.