Abstract
The growing application of smart manufacturing systems and the expansion of the Industry 4.0 model have created a need for new teaching platforms for education, rapid application development, and testing. This research addresses this need with a proposal for a model of working environment monitoring in smart manufacturing, based on emerging wireless sensor technologies and the message queuing telemetry transport (MQTT) protocol. In accordance with the proposed model, a testing platform was developed. The testing platform was built on open-source hardware and software components. The testing platform was used for the validation of the model within the presented experimental environment. The results showed that the proposed model could be developed by mainly using open-source components, which can then be used to simulate different scenarios, applications, and target systems. Furthermore, the presented stable and functional platform proved to be applicable in the process of rapid prototyping, and software development for the targeted systems, as well as for student teaching as part of the engineering education process.
Highlights
The European Commission promotes industrial competitiveness through many initiatives
The model described in this paper presents the fusion of these two models, with the hierarchical architecture and heterogeneous connectivity technology based on the first model, and with the message queuing telemetry transport (MQTT) protocol, and messaging bus oriented architecture based on the second model, and with changes in the sensor data packet format
This paper presented a model for the monitoring of a working environment in smart manufacturing, and designed with the idea of including emerging technologies and contemporary approaches in building complex cyber-physical systems
Summary
Dalibor Dobrilovic 1, Vladimir Brtka 1,*, Zeljko Stojanov 1 , Gordana Jotanovic 2 , Dragan Perakovic 3 and Goran Jausevac 2.
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