Journal of Systems Engineering and Electronics ›› 2020, Vol. 31 ›› Issue (5): 957-968.doi: 10.23919/JSEE.2020.000064

• Systems Engineering • Previous Articles     Next Articles

A scenario construction and similarity measurement method for navy combat search and rescue

Qingsong ZHAO*(), Junyi DING(), Yu GUO(), Peng LIU(), Kewei YANG()   

  • Received:2020-02-07 Online:2020-10-30 Published:2020-10-30
  • Contact: Qingsong ZHAO E-mail:zhaoqingsong@nudt.edu.cn;Lexi.ding9512@gmail.com;guoyunudt@163.com;liupeng81@nudt.edu.cn;kayyang27@nudt.edu.cn
  • About author:ZHAO Qingsong was born in 1975. He is a Ph.D. and a professor in National University of Defense Technology. His research interests are system integration, defense acquisition and system of systems architecture design and optimization, and complex system analysis.E-mail: zhaoqingsong@nudt.edu.cn|DING Junyi was born in 1995. She received her M.S. degree from National University of Defense Technology. Her research interests include system of systems modeling and evaluation, network modeling, and temporal constraint resolving.E-mail: Lexi.ding9512@gmail.com|GUO Yu was born in 1993. She is a Ph.D. candidate in National University of Defense Technology. Her research interests are system of systems modeling and optimization, decision making and emergency management.E-mail: guoyunudt@163.com|LIU Peng was born in 1981. He is currently a Ph.D. candidate in the College of Systems Engineering, National University of Defense Technology. His research interests include system of systems engineering, complex systems, and systems evaluation and optimization.E-mail: liupeng81@nudt.edu.cn|YANG Kewei was born in 1977. He is a Ph.D. and a professor in National University of Defense Technology. His research interests are system of systems (SoS) requirements modeling, SoS architecture design and optimization, and system modeling and simulation.E-mail: kayyang27@nudt.edu.cn
  • Supported by:
    the National Natural Science Foundation of China(71571185);the National Key Research and Development Project of China(2017YFC1405006);This work was supported by the National Natural Science Foundation of China (71571185) and the National Key Research and Development Project of China (2017YFC1405006)

Abstract:

Navy combat search and rescue (NCSAR) is an important component of the modern maritime warfare and the scenario of NCSAR is the basis for decision makers to rely on. According to the core elements in the NCSAR process, the NCSAR scenario structure is constructed from seven perspectives based on the multi-view architecture framework. According to the NCSAR scenarios evolution over time, the NCSAR scenario sequence is analyzed and modeled based on the concept lattice method. Then, the incremental construction algorithm of the NCSAR scenario sequence lattice is given. On this basis, the similarity measurement index of NCSAR scenarios is defined, and the similarity measurement model of NCSAR scenarios is proposed. Finally, the rationality of the method is verified by an example analysis. The NCSAR scenario and similarity measurement method proposed can provide scientific guidance for rapid making, dynamic adjustment and implementation of the NCSAR program, and thus improve the efficiency and effectiveness of NCSAR.

Key words: navy combat search and rescue (NCSAR), scenario, similarity, measurement, concept lattice