發(fā)布時間：2018-04-21 08:36

  本文選題：應急指揮模型 + 跨物聯(lián)網(wǎng)和互聯(lián)網(wǎng)　； 參考：《天津大學》2016年碩士論文

【摘要】：隨著互聯(lián)網(wǎng)的迅猛發(fā)展,物聯(lián)網(wǎng)、智慧安全的逐步建設(shè),應急預案、資源、組織等網(wǎng)頁極大豐富,可爬取、抽取這些網(wǎng)頁形成應急知識庫;應急環(huán)境、資源、實力、事件狀態(tài)實時獲取成為可能,可線下挖掘歷史感知數(shù)據(jù)形成異常檢測預警模型從而實現(xiàn)事件預警,本文提出了跨物聯(lián)網(wǎng)空間和互聯(lián)網(wǎng)空間的應急指揮模型,融合這些信息與知識,從而有效提升應急指揮效能。具體內(nèi)容如下:第一,提出了跨物聯(lián)網(wǎng)空間和互聯(lián)網(wǎng)空間應急指揮模型。以ABC本體模型為上位本體,拓展了突發(fā)事件、組織、預案元數(shù)據(jù)、決策態(tài)勢等概念,以表示應急指揮模型中的概念與知識。第二,以地鐵交通流為例,提出了基于物聯(lián)網(wǎng)的突發(fā)事件異常檢測算法。該算法結(jié)合路徑編碼理論和KNN-Distort算法,可進行地鐵交通流異常檢測,識別出潛在突發(fā)事件,經(jīng)人工確認以做出預警。第三,對跨物聯(lián)網(wǎng)空間和互聯(lián)網(wǎng)空間應急指揮平臺框架進行了設(shè)計,包括平臺的整體框架和流程,并按模塊功能劃分,主要包含資源爬取模塊、動態(tài)預案知識庫生成模塊、異常事件檢測模塊、應急指揮處置模塊和現(xiàn)場監(jiān)測模塊。在應急指揮中引入物聯(lián)網(wǎng)和互聯(lián)網(wǎng)信息,可初步實現(xiàn)異常檢測與事件預警、實時狀態(tài)獲取,從而提升應急指揮效率。
[Abstract]:With the rapid development of the Internet of things, the Internet of things, the gradual construction of intelligent security, emergency plans, resources, organizations and other web pages are extremely rich, can crawl, extract these pages to form an emergency knowledge base, emergency environment, resources, strength, It is possible to obtain the event state in real time, which can mine the historical perceptual data below the line to form the anomaly detection and early warning model to realize the event early warning. In this paper, the emergency command model across the Internet of things and the Internet of things is proposed. Fusion of this information and knowledge, thereby effectively improve the effectiveness of emergency command. The main contents are as follows: first, the emergency command model of cross-internet space and internet space is proposed. Taking the ABC ontology model as the upper ontology, the concepts of emergency, organization, plan metadata and decision situation are extended to represent the concepts and knowledge in the emergency command model. Secondly, taking subway traffic flow as an example, an outlier detection algorithm based on Internet of things is proposed. Combined with path coding theory and KNN-Distort algorithm, the algorithm can detect subway traffic flow anomalies, identify potential emergencies, and make early warning by manual confirmation. Thirdly, the framework of emergency command platform for Internet of things and Internet space is designed, including the overall framework and flow of the platform, and divided according to the function of the module, including resource crawling module, dynamic plan knowledge base generation module. Abnormal event detection module, emergency command and disposal module and field monitoring module. With the introduction of Internet of things and Internet information in emergency command, anomaly detection, event warning and real-time state acquisition can be preliminarily realized, thus improving the efficiency of emergency command.
【學位授予單位】：天津大學
【學位級別】：碩士
【學位授予年份】：2016
【分類號】：TP391.44;TN929.5;TP393.09

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