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Case Study: Developing a GIS Data Set for Pipeline Prioritization and Replacement, Dallas Water Utilities 案例研究:开发用于管道优先排序和更换的GIS数据集 达拉斯水务公司
发布日期: 2007-03-01
本幻灯片概述了达拉斯水务公司关于开发用于管道优先排序和更换的地理信息系统(GIS)数据集的案例研究。该项目的目的是: 演示清理数据对于 分析 确定知识丰富的假设以填补空白 在可用数据中(合理范围内);认识到这一点 通过更好地利用 现有资源。 GIS技术被用于: QC现有管道库存数据; 开发和分析主要突破数据趋势;和 开发和分析管道优先级 数据涉及的数据清理:管道材料; 管道时代;以及,实地考察与实地考察之间的相关性 和安装年份。涉及的主要突破分析:数据准备;规则和信心水平;地理编码QA/QC。 制定了三个类别来优先考虑管道维修、更换或更换 检查包括:物理-分析管道和管道的物理特性 可能影响其身体状况的环境因素;功能性——确定主要设备的当前和历史性能;和 影响-确定需要持续供水的关键区域。概述了结果和经验教训。包括桌子。
This slide presentation outlines a case study at the Dallas Water Utilities on developing a geographic information system (GIS) data set for pipeline prioritization and replacement. The purpose of this project was to: demonstrate the importance of cleaning up data for analysis; identify knowledgeable assumptions to fill in gaps in available data (within reason); and, to recognize that value can be created for clients by better utilizing existing resources. GIS techniques were used to: QC existing pipeline inventory data; develop and analyze main break data trends; and, develop and analyze pipeline prioritization data. Data clean-up involved: pipe material; pipe age; and, correlation between field book and installation year. Main break analysis involved: data preparation; rules and levels of confidence; and, geocoding QA/QC. Three categories were developed to prioritize pipe repair, replacement, or inspection that included: Physical - analysis of physical characteristics of the pipes and the environmental factors that can affect their physical condition; Functional - identify current and historic performance of the main; and, Impact - identify critical areas that require continual water service. Results and lessons learned are outlined. Includes tables.
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发布单位或类别: 美国-美国给水工程协会
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