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

• 批准号: 543829-2019
• 负责人: Lou, Edmond
• 金额: $ 6.99万
• 依托单位: University of Alberta
• 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
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=720788
• 关键词: Utilizing; testing; self; monitored; 3D

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.

在艾伯塔省北部，油砂开采已成为支撑艾伯塔省和加拿大经济的主要产业之一。许多加拿大石油、天然气和采矿公司，如加拿大辛克鲁德公司，希望通过只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使用寿命，并降低维护成本。油砂勘探中使用的一些关键设备是铲臂、铲斗、卡车箱和卡车车架以及加工和运输管道。金属箔应变计目前是用于监测此类结构上的应变水平以指示需要维护的危急状况的标准传感部件。虽然箔式应变计已成功地应用于结构健康监测，但存在成本高、功耗大、安装和使用复杂等缺点，不适合作为工业物联网用于结构健康监测。需要一种能够解决这些缺点的替代技术，特别是提供一种简单、快速的安装，能够承受恶劣的环境条件，例如多尘的环境、潮湿、大的温度变化和剧烈的振动。微纳机电系统(M/NEMS)和半导体领域的最新进展提供了一种前景看好的替代方案，它可以将半导体应变计、电路和无线模块集成到一个小型微封装芯片中，以便于安装和连接。本项目的目标是开发一种基于MEMS的应变传感器，该传感器可应用于油砂开采设备的自振。这是艾伯塔大学(UofA)和加拿大辛克鲁德公司的合作成果。这一阶段建立在先前合作工作取得成功的基础上，该合作工作旨在为加拿大采矿和油气设备的SSHM建造基于3D MEMS的面内应变传感器平台。