Abstract

The concept of the Internet of Industrial Things (IIoT), which emerged when the Internet of Things (IoT) applications started to be used in the industry, has provided the efficiency, flexibility, traceability and security to the end users in their workspaces. Indoor monitoring and control systems, which are the leading applications of the Internet of industrial things, play a major role in providing these elements. Over the years, these systems have evolved from wired alarm systems to data loggers, wireless sensor networks, and then to with cloud computing based smart gateways. In the face of this evolution of systems, the expectations of end users such as being able to control at tens of thousands of points, high quality of service or achieving commercial targets have increased at the same rate. In order to meet all these expectations, a modular and compact platform based on Fog Computing and single board computer, which provides optimum performance and cost, has been designed and developed in this study. When the results obtained from the test processes implemented under real scenarios are examined, it is seen that the hardware used and the software infrastructure, all open source, are sufficient and usable for indoor monitoring and control applications.

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