摘要
航天测运控系统作为支撑航天器进出太空、在轨长期管理、空间服务等各类工作的关键设备,其可靠性、可用性和性能的完好性直接决定航天器支持任务能否圆满完成。运维管理是保障测运控系统发挥工作效能的关键工作,随着系统部署套量的快速增长、系统集成度的日益提高和功能的日益复杂,传统依赖人工管理方式越来越难以适用。为了适应井喷式增长在轨航天器的测运控需求,文章以大规模测运控系统高效运维管理需求为牵引,研究了现有测运控系统运维管理模式面临的挑战,基于GPT-4能力分析,重点研究了航天测运控系统运维管理的发展方向和须要解决的关键问题,为后续航天测运控系统运维管理研究提供理论参考。
The space TT&C and operations and control systems serve as a key piece of equipment to support various types of work,such as spacecraft entry and exit from space,long-term on-orbit management and space services.The reliability,availability and performance integrity of space TT&C and operations and control systems directly determine the successful completion of spacecraft support missions.Operation and maintenance management is the key to ensuring the effectiveness of the space TT&C and operations and control systems.With the rapid growth in the number of the space TT&C and operations and control systems deployments,the increasing degree of system integration and the increasing complexity of the functions,the existing way of relying on manual management is more and more difficult to apply.Based on the GPT-4 capability analysis,it focuses on the development direction of the operation and maintenance management of the space TT&C and operations and control systems and the key problems that need to be solved,so as to provide theoretical references for the subsequent research on the operation and maintenance management of the space TT&C and operations and control systems.
作者
孟景涛
曹钟宝
赵艳昌
MENG Jingtao;CAO Zhongbao;ZHAO Yanchang(The 54th Research Institute of CETC,Shijiazhuang 050081,China)
出处
《无线互联科技》
2025年第19期98-101,106,共5页
Wireless Internet Science and Technology
关键词
GPT-4
人工智能
航天器
大规模
测运控系统
运维管理
GPT-4
artificial intelligence
spacecraft
large scale
TT&C and operation control system
operations and maintenance management
