Utilizing and testing a self-monitored 3D MEMS strain sensor for SHM of mining and pipeline structures

利用和测试用于采矿和管道结构 SHM 的自监控 3D MEMS 应变传感器

基本信息

  • 批准号:
    543829-2019
  • 负责人:
  • 金额:
    $ 6.99万
  • 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:
    2021
  • 资助国家:
    加拿大
  • 起止时间:
    2021-01-01 至 2022-12-31
  • 项目状态:
    已结题

项目摘要

In northern Alberta, oil sands mining have become one of the major industries that support the Albertan and Canadian economy. Many of the Canadian oil and gas and mining companies like Syncrude Canada would like to extend the lifetime and reduce the maintenance cost of its oil sands mining and transportation equipment and facilities through predicting only structural parts that are prone to failure. Some of the critical equipment used in oil sand exploration are shovel boom, shovel buckets, truck boxes, and truck frames and processing and transportation pipelines. Metal foil strain gauges are currently the standard sensing component used to monitor strain levels on such structures to indicate a critical condition that needs maintenance. Although foil strain gauges have been successfully used for Structural Health Monitoring (SHM), they have disadvantages related to their high cost, high power consumption, and complexity of installation and accessibility; thus, not suitable to be adopted as industrial IoTs for SHM. There is a need for an alternative technique that can address these drawbacks especially providing an easy and quick installation that can withstand the harsh environmental conditions such as dusty environment, moisture, large temperature variation, and severe vibration. The current advancement in micro and Nano-electro mechanical systems (M/NEMS) and semiconductors provides a promising alternative which can integrate a semiconductor strain gauge, circuitry, and wireless module in a small micro-packaged chip for easy installation and connectivity. The objective of this project is to develop a MEMS-based strain sensor that can be deployed for SHM of oil sands mining equipment. It is a collaborative effort between the University of Alberta (UofA) and Syncrude Canada. This phase builds on the success achieved in an earlier collaborative work to build a 3D MEMS-based in-plane strain sensor platform for SSHM of mining and oil and gas equipment in Canada.
在北方阿尔伯塔,油砂开采已成为支撑阿尔伯塔省和加拿大经济的主要产业之一。许多加拿大石油和天然气以及采矿公司,如Syncrude Canada,希望通过仅预测容易发生故障的结构部件来延长其油砂开采和运输设备和设施的寿命并降低其维护成本。油砂勘探中使用的一些关键设备是铲臂、铲斗、卡车箱和卡车框架以及加工和运输管道。金属箔应变计是目前用于监测此类结构上的应变水平以指示需要维护的临界条件的标准感测组件。虽然箔应变计已成功用于结构健康监测(SHM),但它们具有与高成本,高功耗以及安装和可访问性复杂相关的缺点;因此,不适合用作SHM的工业物联网。需要一种可解决这些缺点的替代技术,特别是提供一种容易且快速的安装,其可承受恶劣的环境条件,例如多尘环境、潮湿、大的温度变化和剧烈的振动。微纳机电系统(M/NEMS)和半导体的当前进步提供了一种有前途的替代方案,其可以将半导体应变计、电路和无线模块集成在小型微封装芯片中,以便于安装和连接。该项目的目标是开发一种基于MEMS的应变传感器,可用于油砂开采设备的SHM。这是阿尔伯塔大学(UofA)和加拿大Syncrude之间的合作努力。该阶段建立在早期合作工作中取得的成功基础上,该合作工作为加拿大采矿和石油天然气设备的SSHM构建了基于3D MEMS的面内应变传感器平台。

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)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Lou, Edmond其他文献

Score distribution of the scoliosis quality of life index questionnaire in different subgroups of patients with adolescent idiopathic scoliosis
  • DOI:
    10.1097/brs.0b013e3180b9f7a5
  • 发表时间:
    2007-07-15
  • 期刊:
  • 影响因子:
    3
  • 作者:
    Parent, Eric C.;Hill, Doug;Lou, Edmond
  • 通讯作者:
    Lou, Edmond
An objective measurement of brace usage for the treatment of adolescent idiopathic scoliosis
  • DOI:
    10.1016/j.medengphy.2010.10.016
  • 发表时间:
    2011-04-01
  • 期刊:
  • 影响因子:
    2.2
  • 作者:
    Lou, Edmond;Hill, Doug;Raso, Jim
  • 通讯作者:
    Raso, Jim
Development and Experimental Evaluation of a Novel Piezoresistive MEMS Strain Sensor
  • DOI:
    10.1109/jsen.2011.2113374
  • 发表时间:
    2011-10-01
  • 期刊:
  • 影响因子:
    4.3
  • 作者:
    Mohammed, Ahmed A. S.;Moussa, Walied A.;Lou, Edmond
  • 通讯作者:
    Lou, Edmond
Assessment of curve progression on children with idiopathic scoliosis using ultrasound imaging method
  • DOI:
    10.1007/s00586-017-5457-0
  • 发表时间:
    2018-09-01
  • 期刊:
  • 影响因子:
    2.8
  • 作者:
    Zheng, Rui;Hill, Doug;Lou, Edmond
  • 通讯作者:
    Lou, Edmond
Optimization of geometric characteristics to improve sensing performance of MEMS piezoresistive strain sensors

Lou, Edmond的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Lou, Edmond', 18)}}的其他基金

Machine Learning on 3D Ultrasound Images and Wearable IoT Data for Brace Treatment of Spinal Deformities
基于 3D 超声图像和可穿戴物联网数据的机器学习用于脊柱畸形的支架治疗
  • 批准号:
    RGPIN-2020-04415
  • 财政年份:
    2022
  • 资助金额:
    $ 6.99万
  • 项目类别:
    Discovery Grants Program - Individual
Machine Learning on 3D Ultrasound Images and Wearable IoT Data for Brace Treatment of Spinal Deformities
基于 3D 超声图像和可穿戴物联网数据的机器学习用于脊柱畸形的支架治疗
  • 批准号:
    RGPIN-2020-04415
  • 财政年份:
    2021
  • 资助金额:
    $ 6.99万
  • 项目类别:
    Discovery Grants Program - Individual
Machine Learning on 3D Ultrasound Images and Wearable IoT Data for Brace Treatment of Spinal Deformities
基于 3D 超声图像和可穿戴物联网数据的机器学习用于脊柱畸形的支架治疗
  • 批准号:
    RGPIN-2020-04415
  • 财政年份:
    2020
  • 资助金额:
    $ 6.99万
  • 项目类别:
    Discovery Grants Program - Individual
3D Ultrasound Imaging and Spatial Pressure Measurement System to Investigate Spinal Curve Response Imposed by a Simulated Brace
3D 超声成像和空间压力测量系统用于研究模拟支架施加的脊柱曲线响应
  • 批准号:
    RGPIN-2015-04176
  • 财政年份:
    2019
  • 资助金额:
    $ 6.99万
  • 项目类别:
    Discovery Grants Program - Individual
3D Ultrasound Imaging and Spatial Pressure Measurement System to Investigate Spinal Curve Response Imposed by a Simulated Brace
3D 超声成像和空间压力测量系统用于研究模拟支架施加的脊柱曲线响应
  • 批准号:
    RGPIN-2015-04176
  • 财政年份:
    2018
  • 资助金额:
    $ 6.99万
  • 项目类别:
    Discovery Grants Program - Individual
Optimization and Enhancement of 3D Spectra Scanner and 3D printing configurations for Spinal Orthosis****************
脊柱矫形器 3D 光谱扫描仪和 3D 打印配置的优化和增强****************
  • 批准号:
    535908-2018
  • 财政年份:
    2018
  • 资助金额:
    $ 6.99万
  • 项目类别:
    Engage Grants Program
Estimate Trajectory of the Ultrasound Scan using Inertia Sensor
使用惯性传感器估计超声扫描的轨迹
  • 批准号:
    522817-2017
  • 财政年份:
    2017
  • 资助金额:
    $ 6.99万
  • 项目类别:
    Engage Grants Program
3D Ultrasound Imaging and Spatial Pressure Measurement System to Investigate Spinal Curve Response Imposed by a Simulated Brace
3D 超声成像和空间压力测量系统用于研究模拟支架施加的脊柱曲线响应
  • 批准号:
    RGPIN-2015-04176
  • 财政年份:
    2017
  • 资助金额:
    $ 6.99万
  • 项目类别:
    Discovery Grants Program - Individual
Enhancement of hot-cold sensation testing device
冷热感觉测试装置的改进
  • 批准号:
    505585-2016
  • 财政年份:
    2016
  • 资助金额:
    $ 6.99万
  • 项目类别:
    Engage Plus Grants Program
3D Ultrasound Imaging and Spatial Pressure Measurement System to Investigate Spinal Curve Response Imposed by a Simulated Brace
3D 超声成像和空间压力测量系统用于研究模拟支架施加的脊柱曲线响应
  • 批准号:
    RGPIN-2015-04176
  • 财政年份:
    2016
  • 资助金额:
    $ 6.99万
  • 项目类别:
    Discovery Grants Program - Individual

相似国自然基金

基于质谱贴片的病原菌标志物检测及伤口感染诊断应用
  • 批准号:
    82372148
  • 批准年份:
    2023
  • 资助金额:
    60.00 万元
  • 项目类别:
    面上项目
用多重假设检验方法来研究方差变点问题
  • 批准号:
    10901010
  • 批准年份:
    2009
  • 资助金额:
    16.0 万元
  • 项目类别:
    青年科学基金项目
资本外逃及其逆转:基于中国的理论与实证研究
  • 批准号:
    70603008
  • 批准年份:
    2006
  • 资助金额:
    17.0 万元
  • 项目类别:
    青年科学基金项目

相似海外基金

Developing a Novel Clinical Care Model for Chronic Patellar Tendinopathy Utilizing Whole Person Healthcare
利用全人医疗保健开发慢性髌腱病的新型临床护理模式
  • 批准号:
    10739428
  • 财政年份:
    2023
  • 资助金额:
    $ 6.99万
  • 项目类别:
Utilizing induced pluripotent stem cells to study the role of alveolar type 2 cell dysfunction in pulmonary fibrosis
利用诱导多能干细胞研究肺泡2型细胞功能障碍在肺纤维化中的作用
  • 批准号:
    10591174
  • 财政年份:
    2023
  • 资助金额:
    $ 6.99万
  • 项目类别:
Attending to the “whole” child in mental health care: Utilizing a partnership approach to address social risk factors alongside an evidence-based psychotherapy
在心理健康护理中关注“整体”儿童:利用伙伴关系方法解决社会风险因素以及基于证据的心理治疗
  • 批准号:
    10534389
  • 财政年份:
    2022
  • 资助金额:
    $ 6.99万
  • 项目类别:
Self-test HIV diagnostics utilizing structurally novel, shark-derived binding domains
利用结构新颖的鲨鱼衍生结合域进行 HIV 自检诊断
  • 批准号:
    10539323
  • 财政年份:
    2022
  • 资助金额:
    $ 6.99万
  • 项目类别:
Attending to the “whole” child in mental health care: Utilizing a partnership approach to address social risk factors alongside an evidence-based psychotherapy
在心理健康护理中关注“整体”儿童:利用伙伴关系方法解决社会风险因素以及基于证据的心理治疗
  • 批准号:
    10685276
  • 财政年份:
    2022
  • 资助金额:
    $ 6.99万
  • 项目类别:
Utilizing All of Us data to examine the impact of COVID-19 on mental health among people living with HIV
利用 All of Us 数据研究 COVID-19 对 HIV 感染者心理健康的影响
  • 批准号:
    10657875
  • 财政年份:
    2022
  • 资助金额:
    $ 6.99万
  • 项目类别:
Self-test HIV diagnostics utilizing structurally novel, shark-derived binding domains
利用结构新颖的鲨鱼衍生结合域进行 HIV 自检诊断
  • 批准号:
    10373471
  • 财政年份:
    2022
  • 资助金额:
    $ 6.99万
  • 项目类别:
A paradigm shift for ovarian cancer biomarkers: Utilizing routine Pap tests as liquid biopsies for the development of targeted mass spectrometry-based proteomic assays for early detection
卵巢癌生物标志物的范式转变:利用常规巴氏试验作为液体活检,开发基于质谱的靶向蛋白质组学检测,以进行早期检测
  • 批准号:
    10462771
  • 财政年份:
    2021
  • 资助金额:
    $ 6.99万
  • 项目类别:
Utilizing islet autoantibody signatures for precision medicine in type 2 diabetes
利用胰岛自身抗体特征进行 2 型糖尿病精准医疗
  • 批准号:
    10350556
  • 财政年份:
    2021
  • 资助金额:
    $ 6.99万
  • 项目类别:
A paradigm shift for ovarian cancer biomarkers: Utilizing routine Pap tests as liquid biopsies for the development of targeted mass spectrometry-based proteomic assays for early detection
卵巢癌生物标志物的范式转变:利用常规巴氏试验作为液体活检,开发基于质谱的靶向蛋白质组学检测,以进行早期检测
  • 批准号:
    10696939
  • 财政年份:
    2021
  • 资助金额:
    $ 6.99万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了