海事卫星地面站RMS可用性评估模型

doi:10.12305/j.issn.1001-506X.2023.05.34

Abstract

Abstract:

With the continuous development of the international maritime satellite communication system (INMARSAT), the availability evaluation of satellite earth station (SES) is of great significance. Firstly, this paper constructs the reliability, maintainability and supportability(RMS) model to evaluate the availability of SES. Secondly, taking the equipment of SES as the research object, the equipment effectiveness probability is obtained according to Markov chain, and the system reliability is further deduced. Then, the queue-graphical evaluation and review technique(Q-GERT) network is established to describe the maintain and support process of SES equipment, and the modeling and simulation is carried out based on AnyLogic. Finally, through the application research of an example, the availability evaluation of SES based on the RMS model is obtained, which verifies the effectiveness and practicability of the proposed model and the evaluation method.

Key words: satellite earth station (SES), reliability, maintainability and supportability (RMS) model, Markov process, queue-graphical evaluation and review technique (Q-GERT) network, AnyLogic simulation

CLC Number:

C934

Yi XIONG, Sifeng LIU, Zhigeng FANG, Shujun NAN, Jingru ZHANG, Ruirui SHAO. RMS model for availability evaluation of maritime satellite earth station[J]. Systems Engineering and Electronics, 2023, 45(5): 1570-1579.

Figures/Tables 15

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References 47

1	FU S Q , LIU L , LI C J , et al. A novel sequential-phase quad-feed circularly polarized microstrip antenna for INMARSAT and GPS applications[J]. Microwave and Optical Technology Letters, 2022, 64 (11): 2014- 2018. doi: 10.1002/mop.33382
2	SALCEDO D A, CIAFARDINI J P, BAVA J A. Antenna for telemetry data relay communications in LEO satellites and INMARSAT-F4 constellation[C]//Proc. of the IEEE Congreso Bienal de Argentina, 2020.
3	LIU Y D , CHEN Y D , JIAO Y W , et al. A shared satellite ground station using user-oriented virtualization technology[J]. IEEE Access, 2020, 8, 63923- 63934. doi: 10.1109/ACCESS.2020.2984485
4	VASISHT D, CHANDRA R. A distributed and hybrid ground station network for low earth orbit satellites[C]//Proc. of the 19th ACM Workshop on Hot Topics in Networks, 2020: 190-196.
5	ERDOGAN E , ALTUNBAS I , KURT G K , et al. Site diversity in downlink optical satellite networks through ground station selection[J]. IEEE Access, 2021, 9, 31179- 31190. doi: 10.1109/ACCESS.2021.3059641
6	YOUNG E C. GPU-accelerated demodulation for a satellite ground station[D]. Logan: Utah State University, 2019.
7	MENG H, LI C, LU W Z, et al. Multi-satellite resource sche-duling based on deep neural network[C]//Proc. of the International Joint Conference on Neural Networks, 2019.
8	WANG F , JIANG D D , QI S , et al. A dynamic resource sche-duling scheme in edge computing satellite networks[J]. Mobile Networks and Applications, 2021, 26 (2): 597- 608. doi: 10.1007/s11036-019-01421-5
9	LI L M , CHEN H , LI J , et al. Preference-based evolutionary many-objective optimization for agile satellite mission planning[J]. IEEE Access, 2018, 6, 40963- 40978. doi: 10.1109/ACCESS.2018.2859028
10	LIU Y C , CHEN Q F , LI C Y , et al. Mission planning for Earth observation satellite with competitive learning strategy[J]. Aerospace Science and Technology, 2021, 118, 107047. doi: 10.1016/j.ast.2021.107047
11	ZHANG J W , XING L N . An improved genetic algorithm for the integrated satellite imaging and data transmission scheduling problem[J]. Computers & Operations Research, 2022, 139, 105626.
12	YAN L T , DING X J , ZHANG G X . Dynamic channel allocation aided random access for SDN-enabled LEO satellite IoT[J]. Journal of Communications and Information Networks, 2021, 6 (2): 134- 141. doi: 10.23919/JCIN.2021.9475123
13	CHEN Y H , XU M H , WANG Z L , et al. Applicability of two satellite-based precipitation products for assessing rainfall ero-sivity in China[J]. Science of The Total Environment, 2021, 757, 143975. doi: 10.1016/j.scitotenv.2020.143975
14	陈志伟, 王靖, 谷长超, 等. 考虑动态重构的装备体系可用性及弹性分析[J]. 系统工程与电子技术, 2021, 43 (8): 2347- 2354.
	CHEN Z W , WANG J , GU C C , et al. Availability and resilience analysis of equipment system considering dynamic reconfiguration[J]. Systems Engineering and Electronics, 2021, 43 (8): 2347- 2354.
15	张洪太, 王敏. 卫星通信技术[M]. 北京: 北京理工大学出版社, 2018.
	ZHANG H T , WANG M . Satellite communication technology[M]. Beijing: Beijing Institute of Technology Press, 2018.
16	CAO X Y , SHEN F , ZHANG S J , et al. Satellite availability and positioning performance of uncombined precise point positioning using BeiDou-2 and BeiDou-3 multi-frequency signals[J]. Advances in Space Research, 2021, 67 (4): 1303- 1316. doi: 10.1016/j.asr.2020.11.011
17	LU J J. Research on the RAIM algorithm of Beidou satellite navigation system based on robust estimation[C]//Proc. of the 4th International Conference on Smart Systems and Inventive Technology, 2022: 777-780.
18	LEONARDI M, SIRBU G, STALLO C, et al. Autonomous lunar satellite navigation system: preliminary performance assessment on South Pole[C]//Proc. of the International Technical Meeting of the Institute of Navigation, 2021: 478-490.
19	黄祥瑞. 可靠性工程[M]. 北京: 清华大学出版社, 1990.
	HUANG X R . Reliability engineering[M]. Beijing: Tsinghua University Press, 1990.
20	WANG Y Q, HAN W, NIAN Z H. Design of satellite ground management system based on microservices[C]//Proc. of the 3rd International Conference on Computer Science and Software Engineering, 2020: 119-123.
21	DE G R , ANGELETTI P , PETROLATI D , et al. Future technologies for very high throughput satellite systems[J]. International Journal of Satellite Communications and Network-ing, 2020, 38 (2): 141- 161. doi: 10.1002/sat.1327
22	方志耕. 质量与可靠性管理[M]. 3版北京: 科学出版社, 2017.
	FANG Z G . Quality and reliability management[M]. 3rd ed. Beijing: Science Press, 2017.
23	王自力. 可靠性维修性保障性要求论证[M]. 2版北京: 国防工业出版社, 2011.
	WANG Z L . Demonstration of reliability maintainability support requirements[M]. 2nd ed. Beijing: National Defense Industry Press, 2011.
24	SHOGEN K , VIET T P . Characteristics and applicability of frequency sharing criteria in the broadcasting satellite link[J]. IEICE Transactions on Communications, 2019, 102 (12): 2297- 2303.
25	AL-JUMAILY A , SALI A , JIMENEZ V P G , et al. Evaluation of 5G coexistence and interference signals in the C-band satellite earth station[J]. IEEE Trans.on Vehicular Technology, 2022, 71 (6): 6189- 6200. doi: 10.1109/TVT.2022.3158344
26	GUO Y , SHENG S W , PHILLIPS C , et al. A methodology for reliability assessment and prognosis of bearing axial cracking in wind turbine gearboxes[J]. Renewable and Sustainable Energy Reviews, 2020, 127, 109888. doi: 10.1016/j.rser.2020.109888
27	田可. 卫星地面站系统设备故障预测与诊断技术研究[D]. 成都: 电子科技大学, 2021.
	TIAN K. Research on fault prediction and diagnosis technology of satellite ground station system equipment[D]. Chengdu: University of Electronic Science and Technology of China, 2021.
28	WU B , CUI L R , FANG C . Reliability analysis of semi-Markov systems with restriction on transition times[J]. Reliability Engineering & System Safety, 2019, 190, 106516.
29	KOU L L , CHU B Q , CHEN Y , et al. An automatic partition time-varying Markov model for reliability evaluation[J]. Applied Sciences, 2022, 12 (12): 5933. doi: 10.3390/app12125933
30	LALROPUIA K C , GUPTA V . Modeling cyber-physical attacks based on stochastic game and Markov processes[J]. Re-liability Engineering & System Safety, 2019, 181, 28- 37.
31	朱波. 装备RMS综合仿真技术研究[D]. 长沙: 国防科技大学, 2008.
	ZHU B. Research on equipment RMS comprehensive simulation technology[D]. Changsha: National University of Defense Technology, 2008.
32	OWENS A C, DE W O L. International space station operational experience and its impacts on future mission suppor-tability[C]//Proc. of the International Conference on Environmental Systems, 2018.
33	ZHANG H Z , LIU B , YU J , et al. An integrated method of system maintainability, testability and supportability design and evaluation[J]. Journal of Physics: Conference Series, 2022, 2196 (1): 012024. doi: 10.1088/1742-6596/2196/1/012024
34	张建强, 李忠猛, 杨红梅. 基于Q-GERT的装备维修保障流程仿真模型[J]. 海军航空工程学院学报, 2010, 25 (5): 595- 600.
	ZHANG J Q , LI Z M , YANG H M . Simulation model of equipment maintenance support process based on Q-GERT[J]. Journal of Naval Aeronautical Engineering Institute, 2010, 25 (5): 595- 600.
35	LI G S, ZHANG S L, BEN R L, et al. Reliability system engineering capability evaluation case study based on fuzzy theory[C]// Proc. of the IEEE 5th Information Technology and Mechatro-nics Engineering Conference, 2020: 484-490.
36	KHOLIL M , ALFA B N , HARIADI M . Scheduling of house development projects with CPM and PERT method for time efficiency (Case study: House type 36)[J]. IOP Conference Series: Earth and Environmental Science, 2018, 140 (1): 012010.
37	AMBIKA G, NAGALAKSHMI T. Application of pentagonal fuzzy number in cpm and pert network with algorithm[C]//Proc. of the 2nd International Conference on Mathematical Modeling and Computational Science, 2022: 461-469.
38	ZUO J , LYV M , ZHANG Z H , et al. Research on the process supervision and forecasting model of railway emergency based on GERTS[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2019, 33 (1): 1959003. doi: 10.1142/S0218001419590031
39	STUPINA A A , ANTAMOSHKINA O I , RUIGA I R , et al. Building the strategy for innovative development of industrial enterprises based on network planning methods[J]. IOP Conference Series: Materials Science and Engineering, 2021, 1047 (1): 012039. doi: 10.1088/1757-899X/1047/1/012039
40	SIDDIQUI S , DARBARI M , YAGYASEN D . Modelling and simulation of queuing models through the concept of Petri nets[J]. Distributed Computing and Artificial Intelligence Journal, 2020, 9 (3): 17- 28.
41	GENG S Y , LIU S F , FANG Z G , et al. An optimal delay routing algorithm considering delay variation in the LEO satellite communication network[J]. Computer Networks, 2020, 173, 107166. doi: 10.1016/j.comnet.2020.107166
42	TAO L Y , SU X B , JAVED S A . Time-cost trade-off model in GERT-type network with characteristic function for project management[J]. Computers & Industrial Engineering, 2022, 169, 108222.
43	NIE Y Y , FANG Z G , GAO S . Q-GERT survivability assessment of LEO satellite constellation[J]. Wireless Networks, 2021, 27 (1): 249- 268. doi: 10.1007/s11276-020-02452-7
44	ZHOU Q. Research on maintainability simulation of complex system[C]//Proc. of the International Conference on Communications, Information System and Computer Engineering, 2021: 288-291.
45	MERKURYEVA G, BOLSHAKOVS V. Vehicle schedule simu- lation with AnyLogic[C]//Proc. of the 12th International Conference on Computer Modelling and Simulation, 2010: 169-174.
46	MURAVEV D , HU H , RAKHMANGULOV A , et al. Multi-agent optimization of the intermodal terminal main parameters by using AnyLogic simulation platform: case study on the Ningbo-Zhoushan Port[J]. International Journal of Information Management, 2021, 57, 102133. doi: 10.1016/j.ijinfomgt.2020.102133
47	ANTONOVA V M , GRECHISHKINA N A , KUZNETSOV N A . Analysis of the modeling results for passenger traffic at an underground station using AnyLogic[J]. Journal of Communications Technology and Electronics, 2020, 65 (6): 712- 715. doi: 10.1134/S1064226920060029

设备失效率	设备修复率	设备工作时间/h	有效性概率	稳态失效率
0.60	0.7	55	0.54	0.46
0.80	0.8	45	0.50	0.50
0.50	0.3	40	0.38	0.63
0.15	0.8	45	0.84	0.16
0.40	0.3	50	0.43	0.57
0.55	0.5	55	0.48	0.52
0.75	0.6	35	0.44	0.56
0.60	0.3	35	0.33	0.67
0.50	0.4	60	0.44	0.56
0.70	0.6	55	0.46	0.54

分系统	失效率	数值/%
供电分系统	λ₁	1.41
管理控制分系统	λ₂	1.54
用户业务接入分系统(U)	λ_3U	1.18
用户业务接入分系统(D)	λ_3D	4.10
调制解调分系统(U)	λ_4U	1.12
调制解调分系统(D)	λ_4D	1.18
射频分析图分系统(U)	λ_5U	1.68
射频分析图分系统(D)	λ_5D	1.16
天线与伺服跟踪分系统(U)	λ_6U	0.98
天线与伺服跟踪分系统(D)	λ_6D	1.13

活动名称	服务时间t服从分布	服务时间均值/h
设备异常	泊松分布	2.0
选择维修方式	正态分布	0.5
配件采购	正态分布	2.0
到场维修	正态分布	1.0
自主维修	正态分布	0.5
设备验收活动	正态分布	2.0

[1]	Junsen LI, Yining FANG, Yun'an ZHANG, Guanghan BAI, Junyong TAO. Multi-agent modeling and evaluation method for mission-oriented equipment support SoS [J]. Systems Engineering and Electronics, 2023, 45(1): 279-290.
[2]	Dali ZHANG, Hongwei XIA, Chaoxing ZHANG, Guangcheng MA, Changhong WANG. Improved firefly algorithm and its convergence analysis [J]. Systems Engineering and Electronics, 2022, 44(4): 1291-1300.
[3]	Luyun QIU, Zhigeng FANG, Liangyan TAO, Qiucheng TAO. Effectiveness evaluation of network SoS based on improved FDNA model [J]. Systems Engineering and Electronics, 2022, 44(12): 3728-3737.
[4]	Yuqi CHEN, Tingxue XU, Jianping HAO, Cheng LU, Zhiqiang LI. Task capability dependency analysis of weapon system of systems based on FDN [J]. Systems Engineering and Electronics, 2021, 43(6): 1721-1728.
[5]	FENG Yunwen, LIU Kuijian, XUE Xiaofeng, LIU Yuchang. Joint optimization of redundancy level and spare parts for redundant system based on Markov process [J]. Systems Engineering and Electronics, 2019, 41(4): 919-928.
[6]	SHI Yuedong, JIN Jiashan, XU Yifan. Multistate reliability analysis and assessment for complex technical system under semi-Markov processes [J]. Systems Engineering and Electronics, 2019, 41(2): 444-452.
[7]	FENG Xiao, GUO Linhan, SONG Changhao, KONG Dandan. Steady state availability modeling method for multicomponent equipment group based on CTMC family [J]. Systems Engineering and Electronics, 2018, 40(6): 1405-1410.
[8]	YANG Xiao-long, TAN Xue-zhi. Estimation of primary user parameters in cognitive radio networks [J]. Systems Engineering and Electronics, 2015, 37(2): 406-411.
[9]	HOU Hong-tao，XIE Fei，ZHANG Wang-xun，WANG Wei-ping，HUANG Cong-shan. Availability analysis for constellation of GNSS  based on Markov process [J]. Systems Engineering and Electronics, 2014, 36(4): 685-690.
[10]	YAN Hua, WU Xiao-yue. Improved Krylov subspace projection algorithm for reliability analysis of TT&C and communication system [J]. Journal of Systems Engineering and Electronics, 2012, 34(10): 2180-2186.
[11]	DONG Yue,YU Yong-li,ZHANG Liu,QU Chang-zheng. Usage mission completion probability model for complex systems [J]. Journal of Systems Engineering and Electronics, 2011, 33(1): 94-0097.
[12]	FANG Hua-yuan, HU Chang-hua, MA Qing-liang. Determination of optimal inspection period for degradation system operating in dynamic environment [J]. Journal of Systems Engineering and Electronics, 2009, 31(4): 851-854.
[13]	ZHOU Chen, ZHAO Zheng-yu. Over horizon radar mode recognition and target localization based on hidden Markov model [J]. Journal of Systems Engineering and Electronics, 2009, 31(2): 305-309.

RMS model for availability evaluation of maritime satellite earth station

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