風工程實場量測資料入口網站之探討與研發

機構典藏 > College of Engineering > Graduate Institute & Department of Civil Engineering > Thesis > Item 987654321/34521

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/34521

Title:	風工程實場量測資料入口網站之探討與研發
Other Titles:	Research and development of a data management web portal for wind engineering field measurements
Authors:	吳秉樺;Wu, Ping-hua
Contributors:	淡江大學土木工程學系碩士班王人牧;Wang, Jenmu
Keywords:	風工程;實場量測;資料管理;入口網站;Python;PHP;Wind Engineering;Full-Scale Measurement;Data Management;Web Portal;Python;PHP
Date:	2005
Issue Date:	2010-01-11 05:20:48 (UTC+8)
Abstract:	傳統上，實場量測數據的保存分析多在同一資訊平台上運作，而管理者可能需待在現地以便監控結構物，或以勞力換取寶貴的資料。隨著電腦及網路技術的發展，遠端控制、資料集中管理的概念逐漸形成。其最大的挑戰，在於量測系統的操作、數據資料的擷取及其傳輸、處理及儲存。近幾年來，淡江大學風工程研究中心，對知識管理的課題一直有深入研究。將量測數據資料予以儲存、分享也是知識管理的一門課題，利用知識管理概念建構及管理實場量測數據資料庫，提高數據搜尋與擷取的效能。整個系統架構於網際網路上，不受平臺或地域限制，如此一來，只需透過當地的網路系統及全球資訊網瀏覽器，就可以計算、分析、展示及下載所監測的歷時數據，增加許多使用者操作上的便利性。本系統透過Python進行資料處理，PHP 繪圖套件進行資料點繪圖，以Zope及Plone為基礎架設而成的入口網站，讓使用者可以及時地從網路上下載及了解實場量測數據資料，不需再受很於時間及空間因素。 Traditionally, the data storage and analysis of field measurements mostly operate on one information platform. Administrators may need to stay on site in order to monitor the measurements. That is, exchange labor for the valuable data. The concept of remote control and centralized data management gradually shapes up with the progress in information and network technology. However, the challenges are the control of measurement systems and the collection, dissemination, processing and storage of data. The Wind Engineering Research Center of Tamkang University has been involved in the study of knowledge management in recent years. How to store and share data from full-scale field measurements is also a subject of knowledge management. Using the methods from knowledge management to construct and manage a database for the measurements can increase the efficiency of data search and storage. The system operates on the Internet. Using standard web browsers, the users can perform data calculation, analysis, display and downloading without being confined by computer platform and geographical location, which increases its accessibility. The system handles data processing with Python and charting with PHP drawing library. The data management portal is developed with Zope and Plone, which enable users to download the measured data through network and to make quick analysis in time. It overcomes the difficulty of time and space.
Appears in Collections:	[Graduate Institute & Department of Civil Engineering] Thesis

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