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

点击翻译按钮获取中文摘要

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.