基于Agent的海上航空器搜救模拟研究
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摘要
系统模拟作为一种辅助管理决策和系统设计的现代化管理技术,可以对现有系统在拟定的工作条件下的性能做出评价,并预测其未来发展趋势,提出改进方案;可以不必花费大量的投资,对新系统的可行性做出一定的分析;可以按照既定的目标函数对不同的决策方案进行分析比较,从中选择最优方案,辅助管理者决策。系统模拟正向着智能性、逼真性的智能模拟方向发展。而当前Agent技术是人工智能领域研究的热点,由于它具有智能性、自主性等特性,使得面向Agent的智能模拟技术成为智能模拟研究领域的重要课题。
本文在分析天津海上搜救预案的基础上,以海上搜救模拟训练为背景,采用面向Agent的智能模拟技术进行了海上航空器搜救模拟建模研究。本文主要对搜救船舶Agent建模和背景音效处理两方面进行了较深入的研究。(1)论文采用智能建模手段建立了搜救船舶Agent模型。该模型应用多种搜救路线相结合的智能搜救方式,具有相应的知识库、规则库,能够接受指令、响应指令、主动报告搜救特殊情况等功能,实现了经纬度转换算法,使得搜救船舶Agent能够明确自己的精确位置。(2)论文对模拟系统原型开发中的背景音效处理技术进行探索,实现了包括背景声音播放,声音强弱控制,背景声音叠加,实时语音传输等功能,有效地增强了模拟的效果。此外还查阅了语音识别相关文献,为在系统中引入语音识别技术做了一定的准备工作。
本文在对上述两个问题进行研究的基础上设计并实现了基于Agent的海上航空器搜救模拟原型系统(Simulation System For Searching and Rescuing MaritimeAircraft Based on Agent—3SRMABA)),对提高海事局工作人员应急处理能力具有重要意义。
As one kind of modernized management technique assisting administrative decision and system designing, system simulation can value the function of the exsited system under the running conditions, forecast the future development of which, brings forward the improvement scheme; and also can make some valuation to the feasibility of the new system and economic effect without costing heavy investment; and also can carries out analysis on different decision-making schemes and make comparison between them according to that the established target function, and choose the optimum scheme from them, assisting administrative decision. System simulation are developing towards the intelligent simulated direction of intelligence,verisimilitude.And currently the Agent technology is one of the studying hot spot in the fields of Artificial Intelligence, thus because of the nature of intelligence and autonomotion, Intelligent Simulation Technology objecting to the Agent will becomes the important problem in the intelligent simulation fields.
On the basis of analyzing the Pre-Case of Tianjin Maritime Searching and Rescuing, simulating training being the background, this thesis makes some research on Simulation System for Searching and Rescuing Maritime Aircraft Based on Agent adopting the intelligent simulation technology of objecting Agent. In the process of the studying, the thesis makes thorough research mainly on two aspects: the modelling of rescuing boat Agent and the handling of background acoustic effect. (1) the rescuing Agent model builded in this thesis using means of intelligent modelling, adopts ways of intelligent rescuing combined by various searching routes, has the corresponding knowledge base, regulation warehouse,and has various funcions: such as can accept instruction, respond to instruction, report peculiarly rescuing condition activly and so on, has complished the algorithm of longitude and latitude conversion, thus rescuing boat Agent will clearly know its accurate location; (2)This thesises has carried out an exploration to the technology of handling the background acoustic effect in the developing of simulating system prototype, has make various technology become true: including the playing of background sound , the control of strengthening and weakening the background sound, transferring of real time pronunciation and so on, has strengthened the simulation effect effectively , and also has accomplished the simulated function successfully, besides, has looked up relevant documents related to the making some preparation for bringing the technology of voice recognition into system.
On the basis of studying thus two primal problems narrated above, the thesis designed and complished the Simulation Prototype System For Searching and Rescuing Maritime Aircraft Based on Agent(3SRMABA), it has importance to improving han的ling emergency ability of staffs working in maritime affairs bureau.
本文在分析天津海上搜救预案的基础上,以海上搜救模拟训练为背景,采用面向Agent的智能模拟技术进行了海上航空器搜救模拟建模研究。本文主要对搜救船舶Agent建模和背景音效处理两方面进行了较深入的研究。(1)论文采用智能建模手段建立了搜救船舶Agent模型。该模型应用多种搜救路线相结合的智能搜救方式,具有相应的知识库、规则库,能够接受指令、响应指令、主动报告搜救特殊情况等功能,实现了经纬度转换算法,使得搜救船舶Agent能够明确自己的精确位置。(2)论文对模拟系统原型开发中的背景音效处理技术进行探索,实现了包括背景声音播放,声音强弱控制,背景声音叠加,实时语音传输等功能,有效地增强了模拟的效果。此外还查阅了语音识别相关文献,为在系统中引入语音识别技术做了一定的准备工作。
本文在对上述两个问题进行研究的基础上设计并实现了基于Agent的海上航空器搜救模拟原型系统(Simulation System For Searching and Rescuing MaritimeAircraft Based on Agent—3SRMABA)),对提高海事局工作人员应急处理能力具有重要意义。
As one kind of modernized management technique assisting administrative decision and system designing, system simulation can value the function of the exsited system under the running conditions, forecast the future development of which, brings forward the improvement scheme; and also can make some valuation to the feasibility of the new system and economic effect without costing heavy investment; and also can carries out analysis on different decision-making schemes and make comparison between them according to that the established target function, and choose the optimum scheme from them, assisting administrative decision. System simulation are developing towards the intelligent simulated direction of intelligence,verisimilitude.And currently the Agent technology is one of the studying hot spot in the fields of Artificial Intelligence, thus because of the nature of intelligence and autonomotion, Intelligent Simulation Technology objecting to the Agent will becomes the important problem in the intelligent simulation fields.
On the basis of analyzing the Pre-Case of Tianjin Maritime Searching and Rescuing, simulating training being the background, this thesis makes some research on Simulation System for Searching and Rescuing Maritime Aircraft Based on Agent adopting the intelligent simulation technology of objecting Agent. In the process of the studying, the thesis makes thorough research mainly on two aspects: the modelling of rescuing boat Agent and the handling of background acoustic effect. (1) the rescuing Agent model builded in this thesis using means of intelligent modelling, adopts ways of intelligent rescuing combined by various searching routes, has the corresponding knowledge base, regulation warehouse,and has various funcions: such as can accept instruction, respond to instruction, report peculiarly rescuing condition activly and so on, has complished the algorithm of longitude and latitude conversion, thus rescuing boat Agent will clearly know its accurate location; (2)This thesises has carried out an exploration to the technology of handling the background acoustic effect in the developing of simulating system prototype, has make various technology become true: including the playing of background sound , the control of strengthening and weakening the background sound, transferring of real time pronunciation and so on, has strengthened the simulation effect effectively , and also has accomplished the simulated function successfully, besides, has looked up relevant documents related to the making some preparation for bringing the technology of voice recognition into system.
On the basis of studying thus two primal problems narrated above, the thesis designed and complished the Simulation Prototype System For Searching and Rescuing Maritime Aircraft Based on Agent(3SRMABA), it has importance to improving han的ling emergency ability of staffs working in maritime affairs bureau.
引文
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[7]史忠值.智能主体及其应用.北京:科学出版社,2000.
[8]李毅 石纯一.多Agent系统的一种交互策略模型,软件学报,1999年第10卷第7期
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[16]Volker Roth.Empowering Mobile Software Agents.Lecture Notes in Computer Science,2002
[17]http://www.agentlink.org/resources/clearing-house-view.html
[18]毛新军.面向主体的软件开发.北京:清华大学出版社.2005
[19]黄关山 徐冬梅.Agent的理论语结构模型分析.微机发展.2003(11)
[20]杜玉强 王明哲.基于Agent的决策支持系统的构建.微机发展.2003(2)
[21]史忠植 面向主体的软件开发环境—AOSDE.技术报告.中国科学院技术研究所,1998
[22]王汝传等.智能Agent及其在信息网络中的应用.北京:北京邮电大学出版社,2006
[23]http://www.fipa.org
[24]http://www.auml.org
[25]李猛 海上专业救助力量站点布置的研究:(硕士学位论文).大连:大连海事大学,2003
[26]董红斌,王建华.多Agent技术研究,计算机应用研究[J],1999.10:29-30
[27]陈锋.多Agent合作问题求解的研究与应用,中国科学技术大学,博士论文
[28]王冠桢.多Agent协同与通信技术研究[D];[硕士学位论文].南京:南京航空航天大学交通运输工程系,2003
[29]吴中鼎.海上搜救辅助系统研究:[硕士学位论文].青岛:中国海洋大学环境工程.2003,12.
[30]刘功臣.中国海事的现状与发展.新安全.中国海事专刊.2005(1),1-5.
[31]吴中鼎.海上搜救辅助系统研究:[硕士学位论文].青岛:中国海洋大学环境工程.2003,12.
[32]刘铁民.应急体系建设和应急预案编制.北京:企业管理出版社.2004.
[33]刘茂,吴宗之.应急救援概论—应急救援系统及计划.北京:化学工业出版社.2004,9.
[34]Chen Ling,Sheng Jie,Oin Ling,Chen Hongjian.A Method for Solving Optimization Problems in Continuous Space Using Ant Colony Algorithm[A].Ant System:3rd International Workshop[C].Berlin Springer Verlag,2002.288-289.
[35]Gambardella L M,Dorigo M.Ant2Q:A Reinforcement Learning Approach to the Traveling Salesman Problem[A].Proceedings of the Twelfth International Conference on Machine Learning[C].PaloAl to,CA:Morgan Kauffman,1995.252-260.
[36]Parmee I C,Vekeria H,Bilchev G.Role of Evolutionary and Adaptive Search During Whole System Constrained and Detailed Design Optimization[J].Engineering Optimization,1997,29(1-4):151-176
[37]Bullnheimer B,Hartl R F,Strauss C.A New Rank-based Version of the Ant System:A Computational Study[J].Central European Journal for Operations Research and Economies,1999,7(1):25-38
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