多Agent联合灭火救援作战系统应用基础研究
发布时间:2018-09-03 14:54
【摘要】:多Agent技术作为一种人工智能新技术已经迅速渗透到信息社会的各个环节中。本文将多Agent理论和技术应用于联合灭火救援作战的研究,重点研究体系结构,智能体模型,协作和战术处理等难点问题,以跨地区联合灭火救援作战为背景,探讨联合灭火救援组织指挥的关键问题。本文的研究对于提高消防部队的作战能力,实现快速、高效、科学决策,保护人民群众的生命和财产安全有着重要的现实意义。本论文以“十一五”、“十二五”国家科技支撑项目为支撑,深入探索了联合灭火救援作战的总体结构、内部模块及相关的处理算法,并进行了仿真分析。 论文的主要工作包括: 1)对Agent和系统建模技术的基础理论进行了综述。提出了利用多Agent系统理论来建立联合灭火救援组织指挥体系结构。该体系结构充分考虑了联合灭火救援指挥行为的特点,包含了各种功能组件,兼顾了联合灭火救援模型对运行效率和高级智能决策的需求。 2)提出了多Agent联合灭火救援作战系统框架。其中,提出了一种多Agent联合灭火救援作战框架,在该框架下,系统由指挥Agent,作战Agent和环境Agent组成,并分析了各Agent之间的交互作用关系。 3)作战Agent的结构及实现。研究了作战Agent的思想与目标、运行机制、及实现方法,使得作战Agent模型能够以一种便于从概念模型向仿真模型转化的方式进行表达。 4)在体系结构研究的基础上,借鉴多Agent理论中的合同网协议,提出了联合灭火救援的任务优化分配和协作算法。 5)联合灭火救援战术处理研究,提出了三级战术处理流程,结合实例研究了各级战术决策的方法。 6)采用多Agent软件工具集和通用软件平台(SWARM),用JAVA语言编程,进行了模拟仿真,并开发了一个原型系统,对本文构造的模型及相应机制进行了功能验证。
[Abstract]:As a new artificial intelligence technology, multi-Agent technology has rapidly penetrated into all aspects of the information society. In this paper, multi-Agent theory and technology are applied to the research of joint fire-fighting and rescue operations, focusing on the difficult problems such as architecture, agent model, cooperation and tactical treatment, etc., with the background of trans-regional joint fire-fighting and rescue operations. This paper discusses the key problems in the command of joint fire fighting and rescue organization. The research in this paper is of great practical significance for improving the combat ability of the fire fighting troops, realizing rapid, efficient and scientific decision making and protecting the life and property safety of the people. Supported by the "11th Five-Year Plan" and the "12th Five-Year Plan" National Science and Technology support Project, this paper deeply explores the overall structure, internal modules and related processing algorithms of joint fire fighting and rescue operations, and carries out simulation analysis. The main work includes: 1) the basic theories of Agent and system modeling technology are reviewed. In this paper, the multi-Agent system theory is used to set up the command system structure of joint fire fighting and rescue organization. The architecture takes fully into account the characteristics of joint fire fighting and rescue command behavior and includes various functional components. The operational efficiency and advanced intelligent decision of the joint fire-fighting and rescue model are considered. 2) the framework of multi-Agent joint fire-fighting and rescue combat system is proposed. In this framework, the system is composed of command Agent, combat Agent and environment Agent, and the interaction relationship among Agent is analyzed. 3) the structure and implementation of combat Agent. This paper studies the idea and goal, operation mechanism, and implementation method of combat Agent, which makes the combat Agent model express in a way that is convenient to transform from conceptual model to simulation model. 4) based on the research of architecture, Referring to the contract net protocol of multiple Agent theory, the task optimization assignment and cooperative algorithm of joint fire fighting and rescue are put forward. 5) the research of joint fire fighting and rescue tactics processing, and the three-level tactical processing flow are put forward. The methods of tactical decision-making at all levels are studied with an example. 6) A prototype system is developed by using multiple Agent software toolsets and general software platform (SWARM), which is programmed by JAVA language, and a prototype system is developed. The model and the corresponding mechanism are verified.
【学位授予单位】:安徽理工大学
【学位级别】:博士
【学位授予年份】:2013
【分类号】:TU998.1
本文编号:2220303
[Abstract]:As a new artificial intelligence technology, multi-Agent technology has rapidly penetrated into all aspects of the information society. In this paper, multi-Agent theory and technology are applied to the research of joint fire-fighting and rescue operations, focusing on the difficult problems such as architecture, agent model, cooperation and tactical treatment, etc., with the background of trans-regional joint fire-fighting and rescue operations. This paper discusses the key problems in the command of joint fire fighting and rescue organization. The research in this paper is of great practical significance for improving the combat ability of the fire fighting troops, realizing rapid, efficient and scientific decision making and protecting the life and property safety of the people. Supported by the "11th Five-Year Plan" and the "12th Five-Year Plan" National Science and Technology support Project, this paper deeply explores the overall structure, internal modules and related processing algorithms of joint fire fighting and rescue operations, and carries out simulation analysis. The main work includes: 1) the basic theories of Agent and system modeling technology are reviewed. In this paper, the multi-Agent system theory is used to set up the command system structure of joint fire fighting and rescue organization. The architecture takes fully into account the characteristics of joint fire fighting and rescue command behavior and includes various functional components. The operational efficiency and advanced intelligent decision of the joint fire-fighting and rescue model are considered. 2) the framework of multi-Agent joint fire-fighting and rescue combat system is proposed. In this framework, the system is composed of command Agent, combat Agent and environment Agent, and the interaction relationship among Agent is analyzed. 3) the structure and implementation of combat Agent. This paper studies the idea and goal, operation mechanism, and implementation method of combat Agent, which makes the combat Agent model express in a way that is convenient to transform from conceptual model to simulation model. 4) based on the research of architecture, Referring to the contract net protocol of multiple Agent theory, the task optimization assignment and cooperative algorithm of joint fire fighting and rescue are put forward. 5) the research of joint fire fighting and rescue tactics processing, and the three-level tactical processing flow are put forward. The methods of tactical decision-making at all levels are studied with an example. 6) A prototype system is developed by using multiple Agent software toolsets and general software platform (SWARM), which is programmed by JAVA language, and a prototype system is developed. The model and the corresponding mechanism are verified.
【学位授予单位】:安徽理工大学
【学位级别】:博士
【学位授予年份】:2013
【分类号】:TU998.1
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