Using Heterogeneous Data and Open Data Framework to Estimate the Potential Leakage of Water Pipelines

• Main Authors: Kun-Lin Ho, 何昆霖
• Other Authors: 孫志鴻
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/6atfzt

碩士 === 國立臺灣大學 === 地理環境資源學研究所 === 106 === Reducing the water leakage rate is the main goal for water supply corporations all over the world. In the current solutions, the leakage rates in the water supply network were estimated by using district metered areas(DMA) and wireless pressure monitoring system. After that, the professionals will conduct leak detection for the high leakage rate area one by one, and plan the replacement for the old pipeline and facilities routinely. In Taiwan, the total length of water supply pipelines has reached more than 60,000 kilometers. To face such a huge water supply system, if there is no effective solutions for leak detection and replacement, it will cost a lot of budgets for maintenance, and a large amount of water resources will be wasted. According to the statistics of the Taiwan Water corporation, "load vibration" is the primary factor causing water leakage in pipelines. It refers to the situation in which underground pipelines are indirectly damaged due to the long-term driving pressure of heavy vehicles and the repairs of roads repeatedly. However, these information is often difficult to quantify and is often overlooked. Therefore, this study takes large-scale building construction projects as a case to collect information on load vibrations during the transportation of building materials through heavy vehicles, and proposes a structure for data standardization. In this structure, the heterogeneous data from different domain will be standardized, integrated and republished by introducing into semantic-web concept and linked data technology. In addition, there is also a spatial analysis module designed for estimating the influence of the external loads on the pipeline during the construction period, and trying to find out the potential areas where might be heavily stressed and broken indirectly. These information and result will finally provide to the water supply corporation improving on leak detection and tasks of pipeline replacement .