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
基本信息
- 批准号:523761-2018
- 负责人:
- 金额:$ 1.09万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Collaborative Research and Development Grants
- 财政年份:2020
- 资助国家:加拿大
- 起止时间:2020-01-01 至 2021-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
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.
给水管道的无损检测是给水管道维护管理的重要内容,
水基础设施。PipeDiver是由Pure Technologies开发的一种状态评估技术,
在不中断水管运行的情况下进行运行中的检查。PipeDiver是一个自由游动的机器人系统,
其可在平台上集成多种NDI技术,以实现高质量的检测。闭路
电视(CCTV)检测和超声波检测是基于PipeDiver的两种可用技术,
检查
本研究计画旨在开发演算法以处理及分析闭路电视及超音波检测资料。
视频数据分析将解决水下图像增强、关键帧(
异常)检测和障碍物识别。多传感器数据融合将使用来自CCTV的数据,
超声波和惯性测量单元,以便于通过实施PipeDiver的导航
同步定位和地图绘制。研究结果将被整合到PipeDiver中
平台,为加拿大水务行业提供更好的生活质量。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Liu, Zheng其他文献
Classification of defects with ensemble methods in the automated visual inspection of sewer pipes
下水道管道自动目视检测中的集成方法缺陷分类
- DOI:
10.1007/s10044-013-0355-5 - 发表时间:
2015-05 - 期刊:
- 影响因子:3.9
- 作者:
Wu, Wei;Liu, Zheng;He, Yan - 通讯作者:
He, Yan
IFN-α Confers Resistance of Systemic Lupus Erythematosus Nephritis to Therapy in NZB/W F1 Mice
- DOI:
10.4049/jimmunol.1004142 - 发表时间:
2011-08-01 - 期刊:
- 影响因子:4.4
- 作者:
Liu, Zheng;Bethunaickan, Ramalingam;Davidson, Anne - 通讯作者:
Davidson, Anne
Finite element modeling of acoustic wave propagation and energy deposition in bone during extracorporeal shock wave treatment
体外冲击波治疗过程中声波传播和骨内能量沉积的有限元建模
- DOI:
10.1063/1.4812232 - 发表时间:
2013-06 - 期刊:
- 影响因子:3.2
- 作者:
Wang, Xiaofeng;Matula, Thomas J.;Ma, Yong;Liu, Zheng;Tu, Juan;Guo, Xiasheng;Zhang, Dong - 通讯作者:
Zhang, Dong
Cardiotoxicity of current antipsychotics: Newer antipsychotics or adjunct therapy?
- DOI:
10.5498/wjp.v12.i8.1108 - 发表时间:
2022-08-19 - 期刊:
- 影响因子:3.1
- 作者:
Liu, Zheng;Zhang, Mo-Lin;Tang, Xin-Ru;Li, Xiao-Qing;Wang, Jing;Li, Li-Liang - 通讯作者:
Li, Li-Liang
Sarcopenic obesity and therapeutic outcomes in gastrointestinal surgical oncology: A meta-analysis.
- DOI:
10.3389/fnut.2022.921817 - 发表时间:
2022 - 期刊:
- 影响因子:5
- 作者:
Wang, Peiyu;Wang, Shaodong;Ma, Yi;Li, Haoran;Liu, Zheng;Lin, Guihu;Li, Xiao;Yang, Fan;Qiu, Mantang - 通讯作者:
Qiu, Mantang
Liu, Zheng的其他文献
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{{ truncateString('Liu, Zheng', 18)}}的其他基金
Digital twin computing for predictive maintenance of industrial systems
用于工业系统预测维护的数字孪生计算
- 批准号:
RGPIN-2022-03535 - 财政年份:2022
- 资助金额:
$ 1.09万 - 项目类别:
Discovery Grants Program - Individual
Optimizing mill performance through machine learning empowered sensing data analytics
通过机器学习赋能传感数据分析来优化工厂性能
- 批准号:
566919-2021 - 财政年份:2021
- 资助金额:
$ 1.09万 - 项目类别:
Alliance Grants
Towards proactive maintenance of buried infrastructure with cloud-based sensing and predictive analytics
通过基于云的传感和预测分析来主动维护埋地基础设施
- 批准号:
RGPIN-2017-04408 - 财政年份:2021
- 资助金额:
$ 1.09万 - 项目类别:
Discovery Grants Program - Individual
Embedded AI for Continuous Health Monitoring Patch
用于持续健康监测补丁的嵌入式人工智能
- 批准号:
571106-2021 - 财政年份:2021
- 资助金额:
$ 1.09万 - 项目类别:
Alliance Grants
Multi-Modal Imaging System for Real-Time Liquid Leak Detection
用于实时液体泄漏检测的多模态成像系统
- 批准号:
543694-2019 - 财政年份:2021
- 资助金额:
$ 1.09万 - 项目类别:
Collaborative Research and Development Grants
Multi-Modal Imaging System for Real-Time Liquid Leak Detection
用于实时液体泄漏检测的多模态成像系统
- 批准号:
543694-2019 - 财政年份:2020
- 资助金额:
$ 1.09万 - 项目类别:
Collaborative Research and Development Grants
Towards proactive maintenance of buried infrastructure with cloud-based sensing and predictive analytics
通过基于云的传感和预测分析来主动维护埋地基础设施
- 批准号:
RGPIN-2017-04408 - 财政年份:2020
- 资助金额:
$ 1.09万 - 项目类别:
Discovery Grants Program - Individual
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 - 财政年份:2019
- 资助金额:
$ 1.09万 - 项目类别:
Collaborative Research and Development Grants
Multi-Modal Imaging System for Real-Time Liquid Leak Detection
用于实时液体泄漏检测的多模态成像系统
- 批准号:
543694-2019 - 财政年份:2019
- 资助金额:
$ 1.09万 - 项目类别:
Collaborative Research and Development Grants
Towards proactive maintenance of buried infrastructure with cloud-based sensing and predictive analytics
通过基于云的传感和预测分析来主动维护埋地基础设施
- 批准号:
RGPIN-2017-04408 - 财政年份:2019
- 资助金额:
$ 1.09万 - 项目类别:
Discovery Grants Program - Individual
相似海外基金
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 - 财政年份:2019
- 资助金额:
$ 1.09万 - 项目类别:
Collaborative Research and Development Grants
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 - 财政年份:2018
- 资助金额:
$ 1.09万 - 项目类别:
Collaborative Research and Development Grants