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A Scalable Utility Meter Data Management System

A Scalable Utility Meter Data Management System
可扩展的电表数据管理系统
批准号:
491788-2015
负责人:
Ye, Qiang
金额:
$1.82万
依托单位国家:
加拿大
项目类别:
Engage Grants Program
财政年份:
2015
资助国家:
加拿大
项目状态:
已结题
起止时间:
2015-01-01 至 2016-12-31

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中文摘要
翻译
SpryPoint是一家总部位于夏洛特敦的公司,为公用事业行业开发创新软件。使用一个 SpryPoint的客户群遍及北美,帮助电力、天然气、水和废水处理设施 实现运营效率,以降低成本并改善客户服务。来自Summerside的许多公用事业公司 圣地亚哥已经实施了智能电表技术,每隔5分钟收集一次电表数据, 导致大量读数数据的积累--通常每年超过每米100,000个数据点, 几万米的距离。虽然SpryPoint帮助许多实用程序从这些数据中提取价值,但大规模的 分析给挖掘如此海量的数据带来了挑战。这些大型数据中包含的信息 SET-使用模式、峰值和趋势-可以对节能和 效率、政策建设和客户服务。在这个项目中,我们将与SpryPoint、我们的行业合作 合作伙伴,共同研究能源消耗数据。具体地说,我们试图开发一个可伸缩的实用程序 能够分析和预测能源消耗的仪表数据管理系统。
英文摘要
SpryPoint is a Charlottetown-based company that builds innovative software for the utility industry. With a client base reaching across North America, SpryPoint helps electric, natural gas, water, and wastewater utilities achieve operational efficiencies to reduce costs and improve customer service. Many utilities from Summerside to San Diego have implemented smart meter technology to collect meter data at intervals up to every 5 minutes, resulting in the accumulation of huge sets of reading data - often over 100,000 data points per meter per year, for tens of thousands of meters. While SpryPoint helps many utilities extract value from this data, large-scale analysis poses challenges in mining such large quantities of data. The information contained in these large data sets - usage patterns, peaks, and trends - can have tremendous positive impact on energy conservation and efficiency, policy building, and customer service. In this project, we will work with SpryPoint, our industry partner, collaboratively to study energy consumption data. Specifically, we attempt to develop a scalable utility meter data management system capable of analyzing and predicting energy consumption.
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Intelligent Networking and Computing for Next-Generation Wireless Applications
  • 批准号:
    RGPIN-2022-05078
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.89万
  • 财政年份:
    2022
  • 负责人:
    Ye, Qiang
  • 依托单位:
Intelligent Networking and Computing for Next-Generation Wireless Applications
  • 批准号:
    DGECR-2022-00111
  • 项目类别:
    Discovery Launch Supplement
  • 资助金额:
    $0.91万
  • 财政年份:
    2022
  • 负责人:
    Ye, Qiang
  • 依托单位:
Intelligent Edge: When Wireless Network Meets Machine Learning
  • 批准号:
    RGPIN-2022-04754
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.99万
  • 财政年份:
    2022
  • 负责人:
    Ye, Qiang
  • 依托单位:
High-Precision Localization in Mobile Wireless Networks
  • 批准号:
    RGPIN-2017-05853
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.89万
  • 财政年份:
    2021
  • 负责人:
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  • 依托单位:
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