水庫及水力電廠的安全監測技術整合研究暨示範例之建構-子計畫:建立水壩塊體變位應力分析模型與健康診斷知識庫之風險評估專家系統(I)

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题名:	水庫及水力電廠的安全監測技術整合研究暨示範例之建構-子計畫:建立水壩塊體變位應力分析模型與健康診斷知識庫之風險評估專家系統(I)
作者:	林雪淳(HSUEH-CHUN LIN)
贡献者:	公共衛生學院健康風險管理學系
关键词:	Engineering Data Warehouse； Manifold Method； DDA； OLMAP； MVC Design Pattern； Expert System
日期:	2012-07-31
上传时间:	2012-06-15 11:38:33 (UTC+8)
摘要:	本子計畫擬以模型化架構概?整合總計畫「水庫及水?電廠的安全監測技術整合研究暨示範?之建構」之各子計畫議題的防災監資?，結合地?資訊系統建?線上監測分析管?機制，並發展??續塊體變位分析模型，建?結構?為模式庫，規劃工程資 ?倉儲，彙整?位影像監測資?資訊，建構健康診斷專家知?庫，透過網?平台的建置提供水庫風險評估專家系統，並實際導入線上計算分析，開發災害防治之即時預警與決策分析平台。整合計畫的總目標在：(1)開發新的水庫及周邊構造與設備的監測技術；(2)發展監測資?與?值模擬及專家系統的水庫多重災害快速評估系統；及(3)結合監測與評估系統的虛擬防災中心之建構與示範。以期在計畫完成後可提供蓄水庫系統的監測、評估與防災技術，並獲得水庫系統安全評估結?以制定後續營運控制、居民撤?、警戒等細節，並進?示範模擬。因此總整合計畫規劃?以下議題，由八個子計畫分工執?，其中子計畫1~3 進??位影像相關法監測混凝土壩體、基座與集水區崩塌地的變形以及水工機械的損害；子計畫4 發展監測資?之補遺演算法；子計畫5~7 建?水壩塊體變位應?分析模型與健康診斷知?庫之風險評估專家系統，並進?整合系統模擬及快速評估之研究。本子計畫屬於子計畫五，主要負責建?壩體??續模型開發核心計算模組，配合規劃監測?據資?倉儲進?分析；並建構網?平台整合防災資訊管?介面，彙整?質資?以建?壩體健檢專家知?庫及風險評估系統。系統中之模型化架構接續正在開發的系統基礎平台部分，將再分?階段進?。第一階段以?值??方法(Manifold Method)結合??續變形分析(DDA)進?大型塊體應? 變位之巨觀分析模擬，再與各子計畫之微觀分析之結果比較，並配合?位影像監測資 ?建?壩體結構?為模式庫，作為健康診斷專家系統的基礎；第二階段彙整各子計畫之監測資?進?模式庫資?辨?分析，建?專家知?庫，反饋專家意?並建?風險評估指標。系統開發將以具物件導向基礎之 Java 技術整合各種模組，所開發的模組套件則遵循各資訊協會所定義的設計模型標準，使其在擴展上?具彈性。 In this proposal, a MVC-based (model-view-controller-based) architecture will be established for the web-based risk assessment and expert system by integrating geographic information and distributed monitored data from sub projects which belong to the main project “Safety Monitoring Techniques for Reservoir and Hydraulic Power Plant and Disaster Simulation”. The real-time hazard alert and decision support system with online monitoring and analysis process (OLMAP) is proposed to collect digital image measurement data and to implement functionalities of analytical modules, such as numerical manifold method (NMM), discontinuous deformation analysis (DDA), pattern library, knowledge bank, data warehouse and data mining. The project team is proposing three targets in the scope: 1. Develop new techniques to monitoring the reservoir and peripheral structures; 2. Establish an expert system with integrating monitored data and numerical simulation functions for efficient evaluation in variety of disasters happened on the reservoir; 3. Incorporate the monitoring and evaluation systems as the foundation of the virtual disaster prevention center. To reach these goals, there are 8 sub projects involved in the team to execute following tasks: 1. Digital image correlation method for monitoring deformation of the concrete dam, the side landsliding area of the reservoir, and hydraulic machine hazards (project 1~3); 2. Study monitored data algorithm (project 4); 3. Create block deformation and stress model of the dam and establish the expert system with knowledge bank for health diagnosis of the construction system (project 5~7). The project proposed here is the 5th sub project that will be responsible to create a web-based expert system with new numerical simulation model and engineering data warehouse for integrating monitored data offered by other projects. The prototype of platform will be developed through two phases in two years by following current web-based platform design: 1. Enhance macro evaluation by DDA and NMM and classify behaviors of the dam system for creating the pattern library, then incorporate micro computation with practical data from other sub projects as the expert system foundation; 2. Process the pattern recognition algorithms and feedback expert knowledge to accomplish health diagnosis and risk evaluation of the dam structure. The proposed system platform will be programmed with flexibility and expansibility by the Java technology. All designed models and application are referred to definition published by World Wide Web Consortium.
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