研究生: |
林玠佑 Jie-you Lin |
---|---|
論文名稱: |
系統思維應用於高鐵列車誤點模型建構 Systems Thinking Applied to Knowledge Modeling of THSR Delay Cases |
指導教授: |
詹朝基
Chao-Chi Chan |
口試委員: |
蔡明忠
Ming-Jong Tsai 歐陽超 Chao Ou-Yang |
學位類別: |
碩士 Master |
系所名稱: |
工程學院 - 自動化及控制研究所 Graduate Institute of Automation and Control |
論文出版年: | 2009 |
畢業學年度: | 97 |
語文別: | 中文 |
論文頁數: | 135 |
中文關鍵詞: | 系統思維 、主題地圖 、誤點矩陣表 、模糊理想解 、XTM |
外文關鍵詞: | Systems Thinking, Delayed Train Matrix, Topic Map, FAHP fuzzy algorithm, XTM |
相關次數: | 點閱:348 下載:0 |
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摘 要
高鐵營運是高科技系統的整合,700T列車時速最高可為300公里,密集出班的列車運行完全得靠穩定的機電、通訊、行控中心的有效支援和整合。任一系統要件出現異常,即影響當次和往後列車的準點運行。在行控中心內,當班團隊有不同專業的工程人員,面對各種系統異常事件,在立即進行SOP程序外,如何有效地正確找出失誤原因與最適的因應措施,是本研究動機。
本研究以「系統思維」分析方法論作為高鐵「列車誤點模型」建構的起始點。在模型分析階段,以「誤點矩陣表」來描述與定義在高鐵列車營運大環境下各種資源、權責和障礙排除方案的相關知識。在實作階段,著重於以「主題地圖」作為700T列車誤點模型視覺化呈現的手段。本文提出一種「矩陣表基底的知識模型」的建置程序(Matrix-based knowledge modeling),以中國傳統的五行模型為基礎,試圖利用「知識工程」技術,採用合乎國際標準ISO-13250的主題地圖(XML-based Topic Maps; XTM)表示方法,產出對應「列車誤點模型」的XTM文件。
在可量化障礙排除方案的主要措施要求下,以「誤點矩陣表」為基底,本研究融入策略管理學技術,利用「FAHP-TOPSIS」(模糊理想解)演算法」分析誤點之障礙排除的優先處置措施,導出量化的排序過處置方案,再以網頁方式整合到誤點模型的視覺化地圖,供決策者來選擇合適的方案。其成效是,以網頁方式輸出視覺化的知識網絡,清晰易懂,可供相關技術人員瀏覽案例、討論和檢討「列車誤點」的原因,有利於建立和修正SOP程序,達成當次和往後列車的準點運行目標。
關鍵字:系統思維、主題地圖、誤點矩陣表、模糊理想解 、XTM
Abstract
Undoubtedly, Taiwan High-Speed Rail business is amazing high-tech systems integration to make the 700T-train operate at 300 km/hr high speed. Intensive trains that run on THSR completely rely on the stabilities and effective supports of different subsystems, such as electrical and mechanical systems, communication, and Operation Control Center (OCC). Any critical abnormalities come from any elements of systems will affect immediately on-time arrival of current train and correct schedule of next trains. When facing to abnormal events, on-duty team members are always expected to take proper SOP actions. However, it is really big challenges to explore system faults and to take cost-effectively actions with the customers safety first requirements and short-time recovery constraints.
In this study, "systems thinking" methodology is used as the starting point to build up Delayed HSR Train Model. In modeling analysis phase, we use "delayed matrix" to describe and define components and resources used in several activity-based domains. When entering the implementation stage, we focus on developing a visualization procedure to present a 700T-Train Topic Map conformed with ISO-13250 XTM (XML-based Topic-Maps) standard. Our proposed procedure is based on the Chinese traditional Five-Element model and knowledge engineering disciples to generate the desired XTM (topic map) file.
The Delayed HSR matrix is considered as the reference base in later decision-making phase that some possible solutions with proper do-it-now actions are expected to present quickly in OCC center. By response to quantify the proposed solutions to ongoing faulted train, we have adapted FAHP-TOPSIS (a kind of fuzzy algorithm to find near-ideal solutions) procedure to sort them out. Our final results demonstrated the mixed HTML pages with solutions output and XTM topics related to HSR operation knowledge. Our study may be helpful for HSR professionals to enhance existing SOPs and create new effective SOPs to approach successfully on-time arrival goal of high-tech trains.
Keywords: Systems Thinking, Delayed Train Matrix, Topic Map, FAHP fuzzy algorithm, XTM
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