课题基金 / 基金详情

Empowering the pipedriver technology for water pipeline inspection through multi-sensor data analytics

Empowering the pipedriver technology for water pipeline inspection through multi-sensor data analytics
通过多传感器数据分析,为水管检查提供管道驱动技术
批准号:
523761-2018
负责人:
Liu, Zheng
金额:
$2.7万
依托单位国家:
加拿大
项目类别:
Collaborative Research and Development Grants
财政年份:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

项目摘要

项目成果

Liu, Zheng的其他基金

相似基金

相关文献

中文摘要
翻译
输水管道的无损检测是水利基础设施维护和管理的重要内容。PipeDiver是Pure Technologies开发的一种状态评估技术,用于在不中断水管运行的情况下进行运行中检查。PipeDiver是一个自由游动的机器人系统,** 它可以在平台上集成多种NDI技术,以实现高质量的检测。闭路电视(CCTV)检查和超声波检查是基于PipeDiver的检查的两种可用技术。本研究项目旨在开发用于处理和分析CCTV和超声波检测数据的算法。**视频数据分析将解决水下图像增强、关键帧(具有 ** 异常)检测和障碍物识别的挑战。多传感器数据融合将使用来自CCTV、** 超声波和惯性测量单元的数据,通过实现 ** 同时定位和绘图来促进PipeDiver的导航。研究成果将整合到PipeDiver** 平台中,为加拿大水务行业提供更好的生活质量服务。
英文摘要
The non-destructive inspection (NDI) of water pipeline is essential to the maintenance and management of**water infrastructure. The PipeDiver is a condition assessment technology developed by Pure Technologies for**in-service inspection without disrupting the water pipe operation. The PipeDiver is a free-swim robotic system,**which can integrate multiple NDI techniques on the platform, for a high-quality inspection. Closed-circuit**television (CCTV) inspection and ultrasonic inspection are two available techniques for the PipeDiver-based**inspection.**This research project is to develop algorithms to process and analyze the CCTV and ultrasonic inspection data.**The video data analytics will address the challenges of underwater image enhancement, key frame (with**anomaly) detection, and obstacle identification. The multi-sensor data fusion will use the data from CCTV,**ultrasound, and inertial measurement unit to facilitate the navigation of the PipeDiver through implementing**the simultaneous localization and mapping. The outcomes of the research will be integrated into the PipeDiver**platform to serve the Canadian water industry for a better quality of life.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Digital twin computing for predictive maintenance of industrial systems
  • 批准号:
    RGPIN-2022-03535
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.84万
  • 财政年份:
    2022
  • 负责人:
    Liu, Zheng
  • 依托单位:
Optimizing mill performance through machine learning empowered sensing data analytics
  • 批准号:
    566919-2021
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $3.08万
  • 财政年份:
    2021
  • 负责人:
    Liu, Zheng
  • 依托单位:
Towards proactive maintenance of buried infrastructure with cloud-based sensing and predictive analytics
  • 批准号:
    RGPIN-2017-04408
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.53万
  • 财政年份:
    2021
  • 负责人:
    Liu, Zheng
  • 依托单位:
Embedded AI for Continuous Health Monitoring Patch
  • 批准号:
    571106-2021
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $1.86万
  • 财政年份:
    2021
  • 负责人:
    Liu, Zheng
  • 依托单位:
海外基金