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I-Corps: Data Quality Assurance and Inventory Tool (One-Voice) for Sewer Inspection Data

I-Corps: Data Quality Assurance and Inventory Tool (One-Voice) for Sewer Inspection Data
I-Corps:下水道检查数据的数据质量保证和库存工具(单语音)
批准号:
1849023
负责人:
Yongwei Shan
金额:
$5.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-10-01 至 2020-03-31

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中文摘要
翻译
I-Corps项目更广泛的影响/商业潜力是能够提供易于访问和可靠的国家下水道数据清单,帮助市政公用事业地区制定有效和积极的维护和修复计划,从而降低下水道系统的总体维护成本,并避免因管道故障而进行昂贵的维修。此外,如果该技术成功商业化,全国下水道服务公司协会(NASSCO)等下水道官员将更好地了解全国下水道系统状况的现状和趋势;因此,他们将有充分的理由确保足够的联邦资金用于改善下水道系统。这项技术将支持国家改善老化和恶化的下水道基础设施状况的议程,这将促进社会福祉,支持社会的可持续发展。此外,预计国家下水道库存的提供将有助于该行业找到下水道数据的新用途和新的合作。参加NSF i-Corps项目为研究生提供了一个极好的机会来培养他们的创新和创业技能,这可能会导致初创公司的创建和更多的就业机会。这个i-Corps项目解决了下水道行业利益相关者提出的共同关切--数据的可用性和数据质量。了解污水管网的现状和恶化机理是改善国家污水系统的关键一步,这需要易于获取和可靠的数据。尽管全国各公用事业区多年来一直在收集下水道检测数据,但这些数据并没有以可用和统一的格式用于资产管理。这项技术为评估和报告数据质量问题提供了可视化工具,并提供了解决这些问题的创新算法。初步结果表明,通过将提出的质量保证算法应用于团队获得的6个数据集,质量检验数据的良好率从处理前的50%-75%提高到处理后的95%。更重要的是,拟议的技术包括一份全面、统一和有质量保证的全国下水道清单,记录下水道管道的历史和当前状况。通过地区NSF I-Corps现场计划,得出结论,公用事业公司和承包商对拟议技术的巨大需求,因为在检查过程和修复计划中可以实现时间和成本的节省。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The broader impact/commercial potential of this I-Corps project is the ability to provide an easily accessible and reliable national sewer data inventory that will assist municipal utility districts in developing effective and proactive maintenance and rehabilitation plans, hence reducing the overall maintenance costs of sewer systems as well as avoiding costly repairs due to pipe failures. Moreover, if the technology is successfully commercialized, sewer officials such as National Association of Sewer Service Companies (NASSCO) will better understand the current and trend of sewer systems condition nation-wide; as such, they will have proven justification to secure adequate federal funding for sewer system improvements. This technology will support the nation's agenda of improving the condition of the aging and deteriorating sewer infrastructure, which will promote societal wellbeing and support the sustainable development of the society. In addition, it has been expected that the availability of national sewer inventory will help the industry to find new uses of sewer data and new collaborations. The participation in the NSF I-Corps program affords graduate students a great opportunity to cultivate their skills in innovation and entrepreneurship, which may lead to the creation of start-up companies and more job opportunities.This I-Corps project addresses common concerns -- data availability and data quality -- raised by sewer industry stakeholders. Understanding the current condition and deterioration mechanism of sewer pipe networks is a critical step in improving national wastewater systems, which requires easily accessible and reliable data. Although sewer inspection data have been collected by various utility districts across the country for many years, the data is not in a usable and uniform format for asset management purposes. This technology provides a visual tool to evaluate and report data quality issues and an innovative algorithm to resolve these issues. The preliminary results show that, by applying the proposed quality assurance algorithm to six datasets obtained by the team, the percentage of good quality inspection data increased from 50%-75% (pre-process) to 95% (post-process). More importantly, the proposed technology includes a comprehensive, uniform, and quality-assured national sewer inventory that documents the historical and current conditions of sewer pipelines. Through the regional NSF I-Corps site program, it was concluded that there is a tremendous need for the proposed technology among utilities and contractors because of the time and cost savings that can be realized in inspection processes and rehabilitation plans.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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PFI TT: Intelligent quality assurance and integration tool for sewer inspection data
  • 批准号:
    2141184
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2022
  • 负责人:
    Yongwei Shan
  • 依托单位:
国内基金
海外基金
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  • 批准号:
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  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位:
基于Linked Open Data的Web服务语义互操作关键技术
  • 批准号:
    61373035
  • 项目类别:
    面上项目
  • 资助金额:
    77.0万元
  • 批准年份:
    2013
  • 负责人:
    冯志勇
  • 依托单位: