Abstract
Precision of production in industry is a hot area and companies are seeking for solutions to make data-drive decisions to optimize the processes of production and calculate gain/loss during manufacturing. Making a right decision with huge reports always takes time and executive or decision makers always seek user-friendly, automatised applications to help.
This paper offers a server-side infrastructure for IoT applications that targets to provide an end-to-end solution to smart factories on production lines. Solution designed as a middleware application in which northbound and southbound systems are connected to each other. Collected data is stored and integrated with BI tool to present gain/loss during production to executive management and same output can be used for MES-MOM operations. OPC-UA is selected as southbound protocol as it can be considered the most used protocol in industrial IoT. Moreover, solution can be enhanced with any other protocol with slight changes in configurations.
Publisher
Orclever Science and Research Group
Reference8 articles.
1. Lin, H., & Hwang, Y. (2019b). Integration of Robot and IIoT over the OPC Unified Architecture. 2019 International Automatic Control Conference (CACS). https://doi.org/10.1109/cacs47674.2019.9024732
2. Karaağaç, A., Verbeeck, N., & Hoebeke, J. (2019b). The Integration of LwM2M and OPC UA: An Interoperability Approach for Industrial IoT. 2019 IEEE 5th World Forum on Internet of Things (WF-IoT). https://doi.org/10.1109/wf-iot.2019.8767209
3. Cavalieri, S., Di Stefano, D., Salafia, M. G., & Scroppo, M. S. (2017b). A web-based platform for OPC UA integration in IIoT environment. 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). https://doi.org/10.1109/etfa.2017.8247713
4. Dantao, H., Yanjie, G., & Daqian, X. (2022). Research on Key Technologies of OPC UA Standard and Test. 2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC). https://doi.org/10.1109/IPEC54454.2022.977611
5. Mantravadi, S., Srai, J. S., Brunoe, T. D., & Møller, C. (2020b). Exploring Reconfigurability in Manufacturing Through IIoT Connected MES/MOM. 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM. https://doi.org/10.1109/ieem45057.2020.9309989