發(fā)布時間：2018-09-03 14:54

【摘要】：多Agent技術(shù)作為一種人工智能新技術(shù)已經(jīng)迅速滲透到信息社會的各個環(huán)節(jié)中。本文將多Agent理論和技術(shù)應(yīng)用于聯(lián)合滅火救援作戰(zhàn)的研究,重點研究體系結(jié)構(gòu),智能體模型,協(xié)作和戰(zhàn)術(shù)處理等難點問題,以跨地區(qū)聯(lián)合滅火救援作戰(zhàn)為背景,探討聯(lián)合滅火救援組織指揮的關(guān)鍵問題。本文的研究對于提高消防部隊的作戰(zhàn)能力,實現(xiàn)快速、高效、科學(xué)決策,保護人民群眾的生命和財產(chǎn)安全有著重要的現(xiàn)實意義。本論文以“十一五”、“十二五”國家科技支撐項目為支撐,深入探索了聯(lián)合滅火救援作戰(zhàn)的總體結(jié)構(gòu)、內(nèi)部模塊及相關(guān)的處理算法,并進行了仿真分析。 論文的主要工作包括： 1)對Agent和系統(tǒng)建模技術(shù)的基礎(chǔ)理論進行了綜述。提出了利用多Agent系統(tǒng)理論來建立聯(lián)合滅火救援組織指揮體系結(jié)構(gòu)。該體系結(jié)構(gòu)充分考慮了聯(lián)合滅火救援指揮行為的特點,包含了各種功能組件,兼顧了聯(lián)合滅火救援模型對運行效率和高級智能決策的需求。 2)提出了多Agent聯(lián)合滅火救援作戰(zhàn)系統(tǒng)框架。其中,提出了一種多Agent聯(lián)合滅火救援作戰(zhàn)框架,在該框架下,系統(tǒng)由指揮Agent,作戰(zhàn)Agent和環(huán)境Agent組成,并分析了各Agent之間的交互作用關(guān)系。 3)作戰(zhàn)Agent的結(jié)構(gòu)及實現(xiàn)。研究了作戰(zhàn)Agent的思想與目標、運行機制、及實現(xiàn)方法,使得作戰(zhàn)Agent模型能夠以一種便于從概念模型向仿真模型轉(zhuǎn)化的方式進行表達。 4)在體系結(jié)構(gòu)研究的基礎(chǔ)上,借鑒多Agent理論中的合同網(wǎng)協(xié)議,提出了聯(lián)合滅火救援的任務(wù)優(yōu)化分配和協(xié)作算法。 5)聯(lián)合滅火救援戰(zhàn)術(shù)處理研究,提出了三級戰(zhàn)術(shù)處理流程,結(jié)合實例研究了各級戰(zhàn)術(shù)決策的方法。 6)采用多Agent軟件工具集和通用軟件平臺(SWARM),用JAVA語言編程,進行了模擬仿真,并開發(fā)了一個原型系統(tǒng),對本文構(gòu)造的模型及相應(yīng)機制進行了功能驗證。
[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.
【學(xué)位授予單位】：安徽理工大學(xué)
【學(xué)位級別】：博士
【學(xué)位授予年份】：2013
【分類號】：TU998.1

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本文編號：2220303