Computer Science ›› 2025, Vol. 52 ›› Issue (11A): 250200110-6.doi: 10.11896/jsjkx.250200110

• Interdiscipline & Application • Previous Articles     Next Articles

Design of Centralized Management and Control Platform for Multi-system HeterogeneousAerospace TT&C and Data Transmission Resources

MIAO Lin, SHEN Hongjing, WANG Li, CAO Yiwen, LU Chongyu   

  1. 10th Research Institute of China Electronics Technology Group Corporation,Chengdu 610036,China
  • Online:2025-11-15 Published:2025-11-10

Abstract: Aerospace TT&C(Trascking,Telemetry and Command)and data transmission resources are indispensable for satellite missions.Currently,decentralized and independent monitoring is the primary method for managing ground station resources.However,the traditional model of deploying one monitoring client per terminal is unable to meet the demands of managing large-scale heterogeneous resources.To address issues such as the proliferation of monitoring terminals,inconsistent alert mechanisms,and insufficient scalability,a centralized management and control platform(CMC-Platform) for multi-system heterogeneous aerospace TT&C and data transmission resources has been designed.The integrated feature extraction method,based on MBSE(Mo-del-Based Systems Engineering) technology,is used to establish parameter extraction rules to shield the differences between resources,and the failure warning monitoring based on the state machine model for multiple policies is implemented based on the integrated feature parameters,which solve the problem of analyzing the parameters of heterogeneous resources concisely and efficiently.The CMC-Platform can collect,extract and centrally display the condition of resources in real time,as well as carry out failure warning and emergency control during mission execution.The operational trial demonstrates that the platform achieves centralized control of over 100 heterogeneous resources from a single terminal,cutting emergency response time by 63.1%.

Key words: Heterogeneous resources, Centralized management and control, Failure warning, Feature extraction, Model-based systems engineering(MBSE)

CLC Number: 

  • TP302
[1]CHANCE J,LAUCHIE S,STEFAN T.Comparing Photometric Behavior of LEO Constellations to SpaceX Starlink using a space-based optical sensor[C]//22nd Advanced Maui Optical and Space Surveillance Technologies Conference(AMOS 2021).Maui Economic Development Board Inc.,2022:585-602.
[2]DONG C Y,XU X,LIU A J,et al.New Routing Methods ofLEO Satellite Networks[J].Computer Science,2020,47(12):285-290.
[3]LI M,GUO D,ZHOU D H,et al.Cross-Domain UnmannedCluster Combat Supported by Satellite Internet[J].Journal of Unmanned Undersea Systems,2024,32(2):208-214.
[4]XIA Z Z,ZHU X H,LI S Y.Design and Realization of Web-based Multi-system Intermediate Frequency TT&C Integrated Equipment[J].Telecommunication Engineering,2023,63(11):1709-1717.
[5]LIU J N.Research on key technologies of high-speed TT&C and Data Transmission Integration[D].Changsha:National University of Defense Technology,2017.
[6]NING P J,CHEN D,BAI X X.Design and Processing Method ofCentralized Monitoring Data Format in TT&C Network[J].China Computer and Communication,2023,35(5):10-12.
[7]LI J,LI Y H,ZHANG Y B,et al.Research on the construction of monitoring information event system based on artificial intelligence[J].Distribution & Utilization,2022,39(12):17-27.
[8]SHEN S X.Study on New Generation of ATC Equipment Cen-tralized Monitoring and Management System[J].Applications of IC,2018,35(10):87-88.
[9]WANG L H,ZHOU Y Q,CAO H,et al.Resource Managementand Scheduling for Satellite Internet[J].Strategic Study of CAE,2023,25(6):27-38.
[10]SHI C W,ZHENG S G,HUA S Y.Research on TT&C Architecture of Digital Network Integration[J].Aerospace Control,2021,39(2):64-68.
[11]WU T,GAO H L,CHEN J C,et al.Design of a Deep Automation System for TT&C Equipment Based on Remote Monitoring[J].Telecommunication Engineering,2023,63(9):1334-1339.
[12]DANG Q,LI W P,BAI D M,et al.Construction of CentralizedMonitoring Systems for TT&C Equipment with MLA Theory[J].Journal of Spacecraft TT&C Technology,2015,34(5):459-468.
[13]KONSTANTIN K,STEFAN F,BIRGIT V H.A model-basedframework for increasing the interdisciplinary design of mechatronic production systems[J].Journal of Engineering Design,2018,29(11):617-643.
[1] LI Mengxi, GAO Xindan, LI Xue. Two-way Feature Augmentation Graph Convolution Networks Algorithm [J]. Computer Science, 2025, 52(7): 127-134.
[2] WU Zhihua, CHENG Jianghua, LIU Tong, CAI Yahui, CHENG Bang, PAN Lehao. Human Target Detection Algorithm for Low-quality Laser Through-window Imaging [J]. Computer Science, 2025, 52(6A): 240600069-6.
[3] LIU Yuanhong, WU Yubin. Local Linear Embedding Algorithm Based on Probability Model and Information Entropy [J]. Computer Science, 2025, 52(6A): 240500021-8.
[4] MIAO Zhuang, CUI Haoran, ZHANG Qiyang, WANG Jiabao, LI Yang. Restoration of Atmospheric Turbulence-degraded Images Based on Contrastive Learning [J]. Computer Science, 2025, 52(5): 171-178.
[5] KONG Yu, XIONG Fengguang, ZHANG Zhiqiang, SHEN Chaofan, HU Mingyue. Low Overlap Point Cloud Registration Method Based on Deep Position-aware Transformer [J]. Computer Science, 2025, 52(5): 199-211.
[6] LI Xiaolan, MA Yong. Study on Lightweight Flame Detection Algorithm with Progressive Adaptive Feature Fusion [J]. Computer Science, 2025, 52(4): 64-73.
[7] WANG Mengwei, YANG Zhe. Speaker Verification Method Based on Sub-band Front-end Model and Inverse Feature Fusion [J]. Computer Science, 2025, 52(3): 214-221.
[8] ZUO Xuhong, WANG Yongquan, QIU Geping. Study on Integrated Model of Securities Illegal Margin Trading Accounts Identification Based on Trading Behavior Characteristics [J]. Computer Science, 2025, 52(2): 125-133.
[9] WANG Kangyue, CHENG Ming, XIE Yixiang, ZOU Xiaobing, LI Ming. Role-aware Speaker Diarization in Autism Interview Scenarios [J]. Computer Science, 2025, 52(2): 231-241.
[10] ZHANG Wei, CAI Yufan, YE Lintao, LIU Dazhi. Real-time Transformer Small Target Detection Model Based on Feature Extraction Enhancement and Pyramid Structure [J]. Computer Science, 2025, 52(11A): 250100139-11.
[11] ZHU Sifan, ZHU Guosheng. Retinal Vessel Segmentation Based on Multi-scale Attention [J]. Computer Science, 2025, 52(11A): 241200112-10.
[12] YUE Qianwen, WANG Dongqiang, ZHANG Qiang. Point Cloud Registration Network Integrating Adaptive Optimization and Multi-dimensional Focusing [J]. Computer Science, 2025, 52(11A): 250100019-7.
[13] YAN Zhilin, NIE Rencan. Infrared and Visible Image Fusion Cross-modality Contrastive Representation Network Based on Rolling MLP Feature Extraction [J]. Computer Science, 2025, 52(11): 123-130.
[14] LIN Zukai, HOU Guojia, WANG Guodong, PAN Zhenkuan. Image Deraining Based on Union Attention Mechanism and Multi-stage Feature Extraction [J]. Computer Science, 2025, 52(11): 206-212.
[15] CHEN Jiahao, DUAN Liguo, CHANG Xuanwei, LI Aiping, CUI Juanjuan, HAO Yuanbin. Text Sentiment Classification Method Based on Large-batch Adversarial Strategy and EnhancedFeature Extraction [J]. Computer Science, 2025, 52(10): 247-257.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!