Abstract
Many industries, such as manufacturing, aviation, and power generation, employ sensitive measurement devices to be calibrated by certified experts. The diversity and sophistication of measurement devices and their calibration needs require networked and automated solutions. Internet of Measurement Things (IoMT) is an architectural framework that is based on the Industrial Internet of Things for the calibration industry. This architecture involves a layered model with a cloud-centric middle layer. In this article, the realization of this conceptual architecture is described. The applicability of the IoMT architecture in the calibration industry is shown through an editor application for Scope of Accreditation. The cloud side of the implementation is deployed to Microsoft Azure. The editor itself is created as a cloud service, and IoT Hub is used to collect data from calibration laboratories. By adapting the IoMT architecture to a commonly used cloud platform, considerable progress is achieved to encompass Metrology data and serve the majority of the stakeholders.
Highlights
The usage of the Internet of Things (IoT) spreads to different domains as it provides opportunities in big data analytics, machine learning, and cloud computing technologies in the industry.This emerging approach is called the Industrial Internet of Things (IIoT) or Industry 4.0
We demonstrated the modeling of an scope of accreditation (SoA) editor as a proof of concept towards verification of the
We proposed the Internet of Measurement Things (IoMT), an IoT-based architectural framework for the calibration industry that is inspired by the Metrology Information Infrastructure (MII) works
Summary
The usage of the Internet of Things (IoT) spreads to different domains as it provides opportunities in big data analytics, machine learning, and cloud computing technologies in the industry. The IoMT architecture has three layers, namely physical, MII Cloud Services, and application. Previous work-2: The SoA editor was introduced in [3] as an application conforming to the previously proposed IoMT architecture. This work is a contribution to adapt Metrology and the calibration industry to IoT technologies in the industrial scale This improvement would ease the development of new applications that use machine learning and big data analytics. The rest of the article includes required background information that covers the SoA concept, the MII initiative, the Metrology.NET platform, and Microsoft Azure along with its IoT-related services. The article is concluded with remarks and possible future work
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
