本文選題：物聯(lián)網(wǎng) + 任務(wù)�。� 參考：《北京航空航天大學(xué)》2014年碩士論文

【摘要】：物聯(lián)網(wǎng)任務(wù)自動(dòng)部署是指獲取物聯(lián)網(wǎng)中的單元屬性，通過(guò)和意圖、目標(biāo)、期望等約束條件匹配，得到任務(wù)到單元的映射的行為。在戰(zhàn)場(chǎng)物聯(lián)網(wǎng)領(lǐng)域中，本文引入本體論技術(shù)，為作戰(zhàn)單元、任務(wù)賦予語(yǔ)義內(nèi)涵，完善信息共享，形成知識(shí)庫(kù)。根據(jù)決策者的意圖，設(shè)置語(yǔ)義匹配規(guī)則，通過(guò)知識(shí)推理找到合適的執(zhí)行單元，從而實(shí)現(xiàn)作戰(zhàn)任務(wù)的自動(dòng)部署。 本文研究基于本體和知識(shí)推理的戰(zhàn)場(chǎng)物聯(lián)網(wǎng)任務(wù)自動(dòng)部署方法，設(shè)計(jì)并實(shí)現(xiàn)任務(wù)自動(dòng)部署原型系統(tǒng)，主要的工作如下： 1.分析國(guó)內(nèi)外戰(zhàn)場(chǎng)物聯(lián)網(wǎng)任務(wù)自動(dòng)部署的相關(guān)研究現(xiàn)狀，指出當(dāng)前研究存在的問(wèn)題：(1)戰(zhàn)場(chǎng)物聯(lián)網(wǎng)存在概念不清晰、標(biāo)準(zhǔn)不一致的問(wèn)題；(2)目前在戰(zhàn)場(chǎng)物聯(lián)網(wǎng)任務(wù)描述中沒(méi)有統(tǒng)一的語(yǔ)言級(jí)接口描述，缺少面向戰(zhàn)場(chǎng)物聯(lián)網(wǎng)任務(wù)的形式化描述語(yǔ)言；(3)現(xiàn)有的任務(wù)部署方法沒(méi)有實(shí)現(xiàn)面向語(yǔ)義的意圖到任務(wù)部署方案的轉(zhuǎn)換。 2.提出戰(zhàn)場(chǎng)物聯(lián)網(wǎng)概念及組成，分析了戰(zhàn)場(chǎng)物聯(lián)網(wǎng)和民用物聯(lián)網(wǎng)的區(qū)別；明確戰(zhàn)場(chǎng)物聯(lián)網(wǎng)任務(wù)部署活動(dòng)中涉及的態(tài)勢(shì)感知、意圖轉(zhuǎn)換和任務(wù)指派等活動(dòng)概念，給出其形式化表示，設(shè)計(jì)自動(dòng)機(jī)模型，并驗(yàn)證其可終結(jié)性。 3.研究本體論技術(shù)，給出了OWL語(yǔ)言的詞法和語(yǔ)法規(guī)則及本體設(shè)計(jì)的方法，設(shè)計(jì)了戰(zhàn)場(chǎng)物聯(lián)網(wǎng)任務(wù)本體；研究描述邏輯推理方法，通過(guò)Pellet推理機(jī)對(duì)任務(wù)本體進(jìn)行了概念一致性的驗(yàn)證。 4.利用語(yǔ)義網(wǎng)規(guī)則語(yǔ)言SWRL，，結(jié)合軍事作戰(zhàn)知識(shí)設(shè)計(jì)了意圖生成、意圖到任務(wù)集合的轉(zhuǎn)換以及任務(wù)部署到執(zhí)行單元的規(guī)則，對(duì)本體知識(shí)和規(guī)則進(jìn)行格式轉(zhuǎn)換，導(dǎo)入Jess推理引擎，進(jìn)行知識(shí)推理，得到任務(wù)部署結(jié)果；設(shè)計(jì)并實(shí)現(xiàn)戰(zhàn)場(chǎng)物聯(lián)網(wǎng)任務(wù)自動(dòng)部署原型系統(tǒng)，給出作戰(zhàn)想定，執(zhí)行一系列實(shí)驗(yàn)用例。實(shí)驗(yàn)及結(jié)果分析表明：戰(zhàn)場(chǎng)物聯(lián)網(wǎng)本體及規(guī)則描述語(yǔ)言可以有效的描述戰(zhàn)場(chǎng)物聯(lián)網(wǎng)任務(wù)，為任務(wù)賦予清晰的語(yǔ)義知識(shí)，通過(guò)知識(shí)推理為任務(wù)的自動(dòng)部署提供支持。
[Abstract]:The task automatic deployment of the Internet of things (IoT) refers to the behavior of getting the mapping of the task to the unit by matching the properties of the unit, the object and the intention, the goal, the expectation and the other constraints in the Internet of things (IoT). In the field of battlefield Internet of things, this paper introduces ontology technology to give semantic connotation to combat unit, perfect information sharing and form knowledge base. According to the intention of the decision makers, the semantic matching rules are set up, and the appropriate execution units are found through knowledge reasoning, so as to realize the automatic deployment of combat tasks. Based on ontology and knowledge reasoning, this paper studies the method of task automatic deployment in battlefield Internet of things, and designs and implements a prototype system of task automatic deployment. The main work is as follows: 1. This paper analyzes the current situation of research on the automatic deployment of battlefield Internet of things tasks at home and abroad, and points out that the concept of battlefield Internet of things is not clear. There is no uniform language level interface description in the battlefield Internet of things mission description. There is a lack of formal description language for battlefield Internet of things tasks. (3) the existing task deployment methods do not realize the transformation from semantic oriented intention to task deployment scheme. 2. This paper puts forward the concept and composition of battlefield Internet of things, analyzes the difference between battlefield Internet of things and civil Internet of things, clarifies the concept of situation awareness, intention conversion and task assignment involved in deployment activities of battlefield Internet of things, and gives its formal representation. The automaton model is designed and its terminability is verified. 3. This paper studies the ontology technology, gives the lexical and grammatical rules of the OWL language and the method of ontology design, designs the battlefield IOT task ontology, studies and describes the logical reasoning method, The concept consistency of task ontology is verified by Pellet inference engine. 4. Using the semantic web rule language SWRL, combined with military combat knowledge, the paper designs the rules of intention generation, the transformation from intention to task set, and the deployment of tasks to execution unit. The format of ontology knowledge and rules is transformed, and the Jess inference engine is imported. The task deployment results are obtained by knowledge reasoning, and a prototype system for task automatic deployment in the battlefield Internet of things is designed and implemented. The combat scenario is given and a series of experimental cases are carried out. The experiments and results show that the battlefield IOT ontology and rule description language can effectively describe the battlefield IOT tasks, give clear semantic knowledge to the tasks, and provide support for the automatic deployment of the tasks through knowledge reasoning.
【學(xué)位授予單位】：北京航空航天大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類(lèi)號(hào)】：TP311.52;TP391.44;TN929.5

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