Development of Autonomous Distributed intelligent MEMS/NEMS sensory platform for monitoring of critical systems

我们的目标是开发一个自主分布式智能ADiMEMS/NEMS传感平台的框架，用于监控关键系统，这些系统需要准确和及时地测量可能影响这些系统在其战略和/或恶劣环境中运行的参数。在过去的二十年里，微型和纳米传感系统的早期版本已经成为潜在的平台，允许对航空航天、石油和天然气、采矿、生物医学、交通基础设施、汽车和国防、安全和安全系统中的关键系统进行各种测量。微纳机电系统(MEMS/NEMS)具有灵敏度高、功耗低、体积小等优点，可作为许多新兴传感系统的核心。这些感官系统的例子包括温度、湿度、压力、应变、载荷、流体流量、气体和辐射参数。借助新兴的无线协议，测量的数据被发送到云中进行处理，在过去十年的最近阶段，人工智能(AI)被用于对这些数据进行分类，以产生可用于控制战略结果并为各种工业和消费者用户做出决策的有意义的信息和模式。通过提高将MEMS/NEMS传感核心连接到云的效率并改进测量数据的处理，可以演变出易于管理和应用的传感应用平台，即物联网(IoTS)，从而能够在传感和通信的集成框架内利用传感技术，并以可管理的状态处理要呈现给用户的数据。过去二十年来遥感领域的这场革命使传感技术的各种基础研究做出了贡献，其仪器和管理将作为可穿戴技术在新旧关键系统中实施，以使这些系统的监测和操作条件变得智能。在诸如矿场的能源生产、加工和运输以及石油和天然气管道等领域，有时很难认识到关键系统的战略监测需求，这些领域是包括加拿大在内的许多国家国家安全的重要部门；特别是当我们考虑到任何意外的运营中断及其经济和环境影响时。随着数字化技术在全球的发展，越来越多的行业现在要求更广泛、更高效的工业物联网平台，包括智能可靠的传感器作为接收器，高效的无线网络作为连接器，以及具有人工智能处理能力的云计算中心。

We are aiming to develop a framework for an Autonomous Distributed Intelligent ADiMEMS/NEMS sensory platform for monitoring of critical systems that require accurate and timely measurements of the parameters that can affect these systems operations in its strategic and/or harsh environments. Over the last two decades early versions of Micro and Nano sensory systems have emerged as potential platforms to allow for various measurements of critical systems in Aerospace, oil and gas, mining, biomedical, transportation infrastructures, automotive and defence, security and safety systems. The high sensitivity, low power use and small size provided many advantages of Micro and Nano Electro Mechanical Systems (MEMS/NEMS) to be used as a core in many of the emerging sensory systems. Examples of theses sensory systems included temperature, humidity, stresses, strains, loads, fluid flow, gas and radiation parameters. Instrumented with emerging wireless protocols, measured data were sent to the cloud to be processed, and at a recent stage of the last decade Artificial Intelligence (AI) was used to sort through this data to produce meaningful information and patterns that can be used to control strategic outcomes and make decisions for various industrial and consumer users. Increasing the efficiency of linking MEMS/NEMS sensory core to the cloud and improving the processing of the measured data allowed for the evolving of easy to manage and apply sensory application platforms known as Internet of Things (IoTs), which allow the sensory technology to be utilized within an integrated framework of sensing and communicate and process the data to be presented to the user in a manageable state. This revolution over the last two decade in remote sensing allowed for the contribution of various fundamental research in sensory technologies, its instrumentation and management to be implemented in new and old critical systems, as wearable technology, to smarten these systems monitoring and operation conditions. Strategic monitoring needs of critical systems can sometime be difficult to recognize in fields such as Energy production, processing and transportation in mining fields, for example, and oil and gas pipelines, which are important sectors in the national security of many countries, including Canada; Particularly, when we consider any unexpected operation disruption and its economic and environmental impact. With the global growth in digitization technology, more industries are now demanding wider and more efficient platforms of industrial IoTs that include smart and reliable sensors as receptors, efficient wireless network as connectors and cloud computing hub with AI processing capabilities.