课题基金 / 基金详情

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是一家位于夏洛特敦的公司,为公用事业行业构建创新软件。与 SpryPoint的客户群遍布北美,帮助电力、天然气、水和废水公用事业 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 圣地亚哥已经实施了智能电表技术,以每5分钟收集一次电表数据, 导致大量阅读数据集的积累-通常每年每米超过100,000个数据点, 数万米的距离。虽然SpryPoint帮助许多公用事业从这些数据中提取价值,但大规模的 分析对挖掘如此大量的数据提出了挑战。这些大数据中包含的信息 集-使用模式,高峰和趋势-可以对节能产生巨大的积极影响, 效率、政策制定和客户服务。在这个项目中,我们将与SpryPoint合作, 合作伙伴,共同研究能源消耗数据。具体来说,我们试图开发一个可扩展的实用程序 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:
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  • 依托单位:
Intelligent Networking and Computing for Next-Generation Wireless Applications
  • 批准号:
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  • 项目类别:
    Discovery Launch Supplement
  • 资助金额:
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  • 财政年份:
    2022
  • 负责人:
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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:
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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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