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Pipeline Condition Assessment Technology

机译:管道状况评估技术

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The National Science Foundation (NSF) has estimated the total U.S. investment in civil infrastructure systems at $US20 trillion. The investment in our sanitary sewer collection systems represents a major component of this overall investment. Many of these systems are eroding due to aging, excessive demand, misuse, exposure, mismanagement and neglect. Historically, sanitary sewer collection system rehabilitation has been prompted primarily by responding to failures rather than attempting to prevent them. More municipal engineers are realizing the public health and safety as well as cost benefits that can be achieved with a proactive sewer system management system. The objective of an effective proactive sewer system management system is not just being able to collect more data regarding the condition of the existing sewer system network. The real objective is being able to use such data to make intelligent, documentable, cost-effective decisions regarding how to rehabilitate, operate, and maintain this enormous and ever-expanding network. This paper will present state-of-the-art concepts and technology for sewer collection system data acquisition, data interpretation and utilization of the data for planning for intelligent renewal of underground sewer system rehabilitation. Most municipalities do not have the financial resources to address all of the defects identified in the data acquisition process; therefore, it is essential that data be integrated into an effective management system. This paper will be presented in two parts. The first part will focus on the state-of-the-art technology for sewer collection system condition assessment. The technology that will be featured in this part of the paper will be the Sewer Scanner and Evaluation Technology (SSET). The second part of the paper will focus on a North American technology evaluation program.
机译:美国国家科学基金会(NSF)估计,美国在民用基础设施系统上的总投资为20万亿美元。对我们的下水道集水系统的投资是这项总投资的主要组成部分。由于老化,过多的需求,滥用,暴露,管理不善和疏忽,许多系统正在受到侵蚀。从历史上看,下水道集水系统的修复主要是通过响应故障而不是试图防止故障来促进的。越来越多的市政工程师正在意识到公共卫生与安全以及通过积极的下水道系统管理系统可以实现的成本效益。有效的主动式下水道系统管理系统的目标不仅仅是能够收集有关现有下水道系统网络状况的更多数据。真正的目标是能够使用这些数据做出有关如何修复,操作和维护这个庞大且不断扩展的网络的明智,可记录且具有成本效益的决策。本文将介绍用于下水道收集系统数据采集,数据解释和数据利用的最新概念和技术,以规划地下下水道系统修复的智能更新。大多数市政当局没有财政资源来解决数据采集过程中发现的所有缺陷;因此,将数据集成到有效的管理系统中至关重要。本文将分为两个部分。第一部分将重点介绍用于下水道收集系统状况评估的最新技术。本文的这一部分将重点介绍的技术是下水道扫描仪和评估技术(SSET)。本文的第二部分将重点介绍北美技术评估计划。

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