物联网任务自动部署的研究与实现

发布时间：2018-04-23 21:02

本文选题：物联网 + 任务　；参考：《北京航空航天大学》2014年硕士论文

【摘要】：物联网任务自动部署是指获取物联网中的单元属性，通过和意图、目标、期望等约束条件匹配，得到任务到单元的映射的行为。在战场物联网领域中，本文引入本体论技术，为作战单元、任务赋予语义内涵，完善信息共享，形成知识库。根据决策者的意图，设置语义匹配规则，通过知识推理找到合适的执行单元，从而实现作战任务的自动部署。本文研究基于本体和知识推理的战场物联网任务自动部署方法，设计并实现任务自动部署原型系统，主要的工作如下： 1.分析国内外战场物联网任务自动部署的相关研究现状，指出当前研究存在的问题：(1)战场物联网存在概念不清晰、标准不一致的问题；(2)目前在战场物联网任务描述中没有统一的语言级接口描述，缺少面向战场物联网任务的形式化描述语言；(3)现有的任务部署方法没有实现面向语义的意图到任务部署方案的转换。 2.提出战场物联网概念及组成，分析了战场物联网和民用物联网的区别；明确战场物联网任务部署活动中涉及的态势感知、意图转换和任务指派等活动概念，给出其形式化表示，设计自动机模型，并验证其可终结性。 3.研究本体论技术，给出了OWL语言的词法和语法规则及本体设计的方法，设计了战场物联网任务本体；研究描述逻辑推理方法，通过Pellet推理机对任务本体进行了概念一致性的验证。 4.利用语义网规则语言SWRL，，结合军事作战知识设计了意图生成、意图到任务集合的转换以及任务部署到执行单元的规则，对本体知识和规则进行格式转换，导入Jess推理引擎，进行知识推理，得到任务部署结果；设计并实现战场物联网任务自动部署原型系统，给出作战想定，执行一系列实验用例。实验及结果分析表明：战场物联网本体及规则描述语言可以有效的描述战场物联网任务，为任务赋予清晰的语义知识，通过知识推理为任务的自动部署提供支持。
[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.
【学位授予单位】：北京航空航天大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP311.52;TP391.44;TN929.5

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