SBIR Phase I: Water Distribution Network Condition Assessment Instrumentation

SBIR 第一阶段：配水管网状况评估仪器

• 批准号: 1415972
• 负责人: Ivan Howitt
• 金额: $ 15万
• 依托单位: InfoSense Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-07-01 至 2015-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1415972&HistoricalAwards=false
• 关键词: SBIR; Phase; Water; Distribution; Network

This Small Business Innovation Research Phase I project will focus on the development of instrumentation for the water pipeline industry to assess a comprehensive set of common water pipe failure modes. The water industry faces an aging infrastructure with a fast growing need for maintenance, while at the same time facing budgetary constraints and external pressures to reduce costs. Failure to maintain these systems can lead to numerous issues, including 1) inefficiencies leading to increased energy usage and cost, or customer service issues, 2) poor water quality resulting in poor taste or color, or the presence of dangerous pathogens, and 3) delivery failure, which costs $2.8 billion yearly. The proposed instrumentation addresses the global need for condition assessment within municipal distribution and transmission water lines. The U.S. Environmental Protection Agency (EPA) forecasts that U.S. water transmission and distribution systems alone will require investment of $247.5 billion between now and 2030. As part of this effort to identify and rehabilitate aging drinking water systems, the EPA recently identified the need "for low cost inspection methods to conduct screening for high risk locations in all pipe types for further assessment". The proposed instrumentation provides new capabilities to meet these industry-identified needs. Failure modes may result in a wide spectrum of negative effects ranging from energy loss to revenue loss to catastrophic failure with loss of life. The proposed instrumentation introduces innovative technology to detect, identify, and locate faults representing failure modes and/or precursors to failure modes within a water distribution pipeline network. This project will investigate an extensive sensor measurement protocol and exploit the measurement data using advanced statistical signal processing and pattern recognition techniques. Reliable prediction of fault locations will eliminate the cost of over-maintenance while preventing the significant costs incurred due to failures. Utilization of this instrumentation will allow utilities to more effectively balance the trade-offs between allocation of maintenance resources and the risks associated with pipeline failures.

这个小企业创新研究第一阶段项目将专注于水管行业的仪器开发，以评估一套全面的常见水管故障模式。 水务行业面临着基础设施老化、维护需求快速增长的问题，同时面临着预算限制和降低成本的外部压力。未能维护这些系统可能会导致许多问题，包括1）效率低下导致能源使用和成本增加，或客户服务问题，2）水质差导致味道或颜色差，或存在危险病原体，以及3）交付失败，每年花费28亿美元。拟议的仪器解决了全球需要的条件评估市政分配和传输水管。 美国环境保护署（EPA）预测，从现在到2030年，仅美国的输配水系统就需要投资2475亿美元。作为识别和修复老化饮用水系统的努力的一部分，美国环保署最近确定了“低成本检查方法的必要性，以筛选所有管道类型的高风险位置，以进行进一步评估”。拟议的仪器提供了新的功能，以满足这些行业确定的需求。故障模式可能会导致广泛的负面影响，从能量损失到收入损失，再到灾难性故障和生命损失。所提出的仪器引入了创新的技术来检测、识别和定位代表配水管网内的故障模式和/或故障模式的前兆的故障。本项目将研究一个广泛的传感器测量协议，并利用先进的统计信号处理和模式识别技术的测量数据。故障位置的可靠预测将消除过度维护的成本，同时防止由于故障而产生的重大成本。利用这种仪器将使公用事业更有效地平衡维护资源的分配和与管道故障相关的风险之间的权衡。