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A data warehouse-based decision support system for sewer infrastructure management

机译:基于数据仓库的下水道基础设施管理决策支持系统

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摘要

Since the inception of the Governmental Accounting Standards Board statement-34 (GASB 34) in the United States, local and state governing entities need to inspect sewer systems and collect general information about their properties. Application of the collected information in decision-making processes, however, is often problematic due to the lack of consistency and completeness of infrastructure data. In addition, most techniques involved in decision-making processes are relatively complicated and difficult to implement without a certain level of engineering experience and training. Consequently, the sharing and transferring of pertinent information among stakeholders is not smooth and is frequently limited. This study presents a decision support system (DSS) for the management of sewer infrastructure using data warehousing technology. The proposed decision support system automatically assigns appropriate inspection and renewal methods for each pipeline and estimates associated costs, resulting in effective and practical sewer infrastructure management from various perspectives, with corresponding levels of detail.
机译:自美国政府会计准则理事会第34号声明(GASB 34)颁布以来,地方和州管理实体需要检查下水道系统并收集有关其属性的一般信息。但是,由于缺乏基础结构数据的一致性和完整性,在决策过程中应用收集到的信息通常会出现问题。此外,决策过程中涉及的大多数技术相对复杂,如果没有一定程度的工程经验和培训,则难以实施。因此,利益相关者之间相关信息的共享和传递不顺畅并且经常受到限制。这项研究提出了一种决策支持系统(DSS),用于使用数据仓库技术管理下水道基础设施。拟议的决策支持系统自动为每个管道分配适当的检查和更新方法,并估算相关成本,从而从各个角度对污水处理基础设施进行有效,实用的管理,并提供相应的详细级别。

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