CLC number: TP391.9
On-line Access: 2021-03-08
Received: 2019-11-26
Revision Accepted: 2020-06-21
Crosschecked: 2021-02-11
Cited: 0
Clicked: 4623
Dongsu Jeong, Dohyun Kim, Yoonho Seo. Method for process-based modeling of combat scenarios using interaction analysis weapon systems[J]. Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/FITEE.1900649 @article{title="Method for process-based modeling of combat scenarios using interaction analysis weapon systems", %0 Journal Article TY - JOUR
一种使用交互分析武器系统对作战场景基于过程建模的方法高丽大学工业与管理工程系,韩国首尔市,KS013 摘要:随着技术进步,武器系统开发变得复杂而昂贵。在概念设计阶段使用建模和仿真(M&S)技术可有效减少武器的开发时间和成本。为降低与武器开发相关的复杂性,减少反复试验,一种方法是使用M&S技术开发作战方案,以审查分配给新武器的功能。尽管M&S技术适用于该方法,由于战斗场景建模固有的动态特性(考虑到不同武器实体之间的相互关系),难以分析武器的运行效率。为审查具备这些特征的武器功能,本文开发了一种基于过程的建模(PBM)方法来对战斗场景中武器之间的相互作用建模。该方法包括以下3个步骤:(1)通过将武器和武器功能转换为相应的组件来构建虚拟模型;(2)依据战斗情景生成战斗过程,该战斗过程是使用推理规则从被研究的武器之间的相互关系中得出的;(3)通过将战斗过程与虚拟模型相结合,开发一种基于过程的模型来描述武器功能。然后,实现了基于该方法的PBM系统。在该系统上开展案例研究,结果表明,在从各种作战场景中得出基于过程的模型、使用该模型分析武器功能以及在概念设计阶段减少武器开发问题方面,该系统均体现作用。 关键词组: Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article
Reference[1]Alshayeb M, Khashan N, Mahmood S, 2016. A framework for an integrated unified modeling language. Front Inform Technol Electron Eng, 17(2):143-159. [2]Choi BK, Kang D, 2013. Modeling and Simulation of Discrete-Event Systems. John Wiley & Sons, Inc., Hoboken, USA. [3]Choi J, Moon S, Kim T, et al., 2015. Study of development for distributed battlefield simulation environment: one-to-one single unit engagement model. J Korea Soc Simul, 24(4):69-76. [4]Claxton JD, Cavoli C, Johnson C, 2005. Test and Evaluation Management Guide (5th Ed.). Defense Acquisition University Press, Fort Belvoir, USA. [5]Defense Acquisition Program Administration (DAPA), 2012. Guide Book of Weapon System Test and Evaluation. Defense Acquisition Program Administration, Seoul, Korea. [6]Eisner H, Marciniak J, McMillan R, 1991. Computer-aided system of systems (S2) engineering. Proc IEEE Int Conf on Systems, Man, and Cybernetics, p.531-537. [7]Jafer S, Durak U, 2017. Tackling the complexity of simulation scenario development in aviation. Proc Symp on Modeling and Simulation of Complexity in Intelligent, Adaptive and Autonomous Systems, p.1-10. [8]Jeong D, Kim D, Seo Y, 2016. Research of ontology based battlefield scenario generation systems. Proc 2nd Int Conf on Artificial Intelligence and Industrial Engineering, p.393-396. [9]Jeong DS, Seo YH, 2018. Process-based ship production system modeling for supporting decision processes. Proc 32nd Annual European Simulation and Modelling Conf, p.82-87. [10]Jeong DY, Kim GI, Cho SS, et al., 2014. The Latest Weapon Systematology. CHEONG MOON GAK Publishing Company, Seoul, Korea. [11]Kewley R, Cook J, Goerger N, et al., 2008. Federated simulations for systems of systems integration. Winter Simulation Conf, p.1121-1129. [12]Kim CO, Cho YH, Yoon JU, et al., 2005. Ontology based negotiation case search system for the resolution of exceptions in collaborative production planning. In: Meersman R, Tari Z, Herrero P (Eds.), On the Move to Meaningful Internet Systems 2005: OTM 2005 Workshops. Springer Berlin Heidelberg, p.24-25. [13]Kim D, Seo Y, Sheen DM, 2015. Dynamic component reconfiguration system using case-based reasoning for weapons system in DM&S: guided weapon case. Proc IEEE European Modelling Symp, p.9-13. [14]Kim TG, Moon IC, 2012. Combat modeling using the DEVS formalism. In: Tolk A (Ed.), Engineering Principles of Combat Modeling and Distributed Simulation. Wiley, Hoboken, USA, p.479-510. [15]Kim TG, Kwon SJ, Kang B, 2013. Modeling and simulation methodology for defense systems based on concept of system of systems. J Korean Inst Ind Eng, 39(6):450-460. [16]Lee B, Seo Y, 2014. A design of operational test & evaluation system for weapon systems thru process-based modeling. J Korea Soc Simul, 23(4):211-218. [17]Lee JO, Lee JJ, Suk JB, et al., 2010. A development of the dynamic reconfigurable components based on software product line: guided weapon system. J Korea Soc Simul, 19(4):179-188. [18]Lee PJ, Lee YU, 2011. A study on weapon systems acquisition for the use of Modeling & Simulation (M&S). Conv Secur J, 11(3):11-17. [19]Li XB, Lei YL, Vangheluwe H, et al., 2013. A multi-paradigm decision modeling framework for combat system effectiveness measurement based on domain-specific modeling. J Zhejiang Univ-Sci C (Comput & Electron), 14(5):311-331. [20]Li XB, Yang F, Lei YL, et al., 2017. A model framework-based domain-specific composable modeling method for combat system effectiveness simulation. Soft Syst Model, 16(4):1201-1222. [21]Luo YL, Wu YN, Qin YH, et al., 2016. Modeling method for integration of air command and security process. Int J Model Simul Sci Comput, 7(1):1641004. [22]No H, Son T, 2005. NCW: trends of developed countries and challenges of ROK. J Korean Def Iss Anal, 1046:5-19 (in Korean). [23]Object Management Group (OMG), 2003. OMG Unified Modeling Language Specification (15th Ed. Object Management Group, Inc., Framingham, MA, USA. [24]Oh SR, Jeong DS, Seo YH, 2016. Scenario-based evaluation object selection research for performance evaluation of weapon systems. Proc Korean Operations Research and Management Science Society Joint Conf, p.1239-1244 (in Korean). [25]Özhan G, Oğuztüzün H, Evrensel P, 2008. Modeling of field artillery tasks with live sequence charts. J Def Mod Simul Appl Meth Techn, 5(4):219-252. [26]Park HR, Seo YH, 2015. AHP-based ontology integration method for weapon function. J Inform Techn Arch, 12(1):99-112. [27]Park SC, Kwon Y, Seong K, et al., 2010. Simulation framework for small scale engagement. Comput Ind Eng, 59(3):463-472. [28]Park SK, Lee JY, 2003. A study on the assessment of power improvement effectiveness of corps level C4I system applied to integrated fire operation. J Mil Oper Res Soc Korea, 29(1):26. [29]Qi ZH, Wang ZY, Zhang WH, et al., 2006. Design and implication of attack and defense simulation system for ballistic missile with UML. J Syst Simul, 18(3):602-603, 606 (in Chinese). [30]Rainey LB, Tolk A, 2015. Modeling and Simulation Support for System of Systems Engineering Applications. Wiley, Hoboken, USA. [31]Schwenn K, Colombi J, Wu T, et al., 2015. Toward agent-based modeling of the U.S. Department of Defense Acquisition System. Proc Comput Sci, 44:383-392. [32]Seo DJ, Seo Y, 2016. A method for build an ontology-based component semantic search system for reconfiguration of weapon system. J Korea Soc Simul, 25(1):11-20. [33]Seo KM, Choi C, Kim TG, et al., 2014. DEVS-based combat modeling for engagement-level simulation. Simulation, 90(7):759-781. [34]Seo KM, Hong W, Kim TG, 2017. Enhancing model composability and reusability for entity-level combat simulation: a conceptual modeling approach. Simulation, 93(10):825-840. [35]Seo Y, Kim T, Kim B, et al., 2006. Representation and performance analysis of manufacturing cell based on generalized stochastic petri net. Int J Ind Eng Theor Appl Pract, 13(1):99-107. [36]Simulation Interoperability Standards Organization (SISO), 2008. Standard for Military Scenario Definition Language (MSDL), SISO-STD-007-2008. Simulation Interoperability Standards Organization, Orlando, USA. [37]Son MJ, Cho DY, Kim T, et al., 2010. Modeling and simulation of target motion analysis for a submarine using a script-based tactics manager. Adv Eng Softw, 41(3):506-516. [38]Tolk A, 2012. Engineering Principles of Combat Modeling and Distributed Simulation. Wiley, Hoboken, USA. [39]Tolk A, Diallo SY, Padilla JJ, et al., 2013. Reference modelling in support of M&S—foundations and applications. J Simul, 7(2):69-82. [40]United States Department of the Army (USDA), 2007. Attack Reconnaissance Helicopter Operations, FM 3-04.126. Headquarters, Department of the Army, Washington, USA. [41]U.S. Department of Defense (USDoD), 2011. Revision C, Work Breakdown Structures for Defense Materiel Items, New MIL-STD-881. Department of Defense Standard Practice, Washington, USA. [42]Wang WG, Tolk A, Wang WP, 2009. The levels of conceptual interoperability model: applying systems engineering principles to M&S. https://arxiv.org/abs/0908.0191 [43]Wittman RLJr, Harrison CT, 2001. OneSAF: a Product Line Approach to Simulation Development. MITRE Corporation, Orlando, FL, USA. [44]Zhao XY, Zhou X, Mei Y, et al., 2012. Structure and content enhancement to military scenario definition language. Int IEEE Symp on Robotics and Applications, p.379-382. Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou
310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn Copyright © 2000 - 2024 Journal of Zhejiang University-SCIENCE |
Open peer comments: Debate/Discuss/Question/Opinion
<1>