Abstract
The Internet of Things (IoT) based automated data acquisition and controlling system conceptualizes the idea of connecting, monitoring and capturing data from machines in real-time is called as industry 4.0. It expresses the essential features required for industry development in order to achieve a smart manufacturing process. Here, the system will monitor the condition of machines from various sensors and captures the process parameters in order to send the data to edge server, where it will be displayed or take intelligent decisions automatically by using IoT framework. For data collection, data analysis, evaluation of company development and performance improvement for housing line allows process, machines, employees, and product to be coupled into a single integrated network. The emerging advancements of industries include cyber physical systems, IoT, machine to machine (M2M) communication, cloud computing, big data are embedded with the manufacturing process. The smart factory increases the production, marketing and has deliberated a control over the entire life cycle of the production process associated with the housing line.
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Vaidya, S., Ambad, P., Bhosle, S.: Industry 4.0 – a glimpse. Procedia Manuf. 20, 233–288 (2018)
Chen, B., Wan, J., Shu, L., Li, P., Mukherjee, M., Yin, B.: Smart factory of industry 4.0: key technologies, application case, and challenges, pp. 2169–3536. IEEE (2017)
Rojko, A.: Industry 4.0 concept: background and overview. Int. J. Interact. Mob. Technol. iJIM 11(5), 77–90 (2017)
Raja Sreedharan, V., Unnikrishnan, A.: Moving towards industry 4.0: a systematic review. Int. J. Pure Appl. Math. 117(20), 929–936 (2017)
Barata, J., Rupino da Cunha, P., Gonnagar, A.S., Mendes, M.: A systematic approach to design product traceability in industry 4.0: insights from the ceramic industry. In: 26th International Conference on Information Systems Development (ISD 2017), Cyprus (2017)
Dohale, V., Kumar, S.: A Review of Literature on Industry 4.0, September 2018
Yen, C.T., Liu, Y.C., Lin, C.C., Kao, C.C., Wang, W.B., Hsu, Y.R.: Advanced manufacturing solution to industry 4.0 trend through sensing network and cloud computing technologies. In: 2014 IEEE International Conference on Automation Science and Engineering (CASE), Taipei, 18–22 August 2014 (2014)
Petrasch, R., Hentschke, R.: Process modeling for industry 4.0 applications. In: 2016 13th International Joint Conference on Computer Science and Software Engineering (JCSSE) (2016)
Lin, J., Yu, W., Zhang, N., Yang, X., Zhang, H., Zhao, W.: A survey on Internet of Things: architecture, enabling technologies, security and privacy, and applications. IEEE Int. Things J. 4(5), 1125 (2017)
Mert Gokalp, M.O., Kayabay, K., Akyol, M.A., Eren, P.E.: Big data for industry 4.0: a conceptual framework. In: 2016 International Conference on Computational Science and Computational Intelligence (2016)
Bocciarelli, P., D’Ambrogio, A., Giglio, A., Paglia, E.: A BPMN extension for modeling cyber-physical-production-systems in the context of industry 4.0. IEEE (2017). 978-1-5090-4429-0/17/$31.00 ©2017
Li, C.H., Lau, H.K.: A critical review of product safety in industry 4.0 applications. In: Proceedings of the 2017 IEEE IEEM (2017)
Shahzad, K., O’Nils, M.: Condition monitoring in industry 4.0 – design challenges and possibilities: a case study. IEEE (2018). 978-1-5386-2497-5/18/$31.00 ©2018
D’Emilia, G., Gaspari, A.: Data validation techniques for measurements systems operating in a industry 4.0 scenario. IEEE (2018). 978-1-5386-2497-5/18/$31.00 ©2018
Elmustafa, S.A.A., Zeinab, K.A.M.: Internet of Things applications, challenges and related future technologies (2017). www.researchgate.net/publication/31365115. Accessed Jan 2017
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Pooja, T.L., Supreetha, M. (2020). Automated Data Acquisition and Controlling System in Housing Line Using Internet of Things (IoT). In: Smys, S., Bestak, R., Rocha, Á. (eds) Inventive Computation Technologies. ICICIT 2019. Lecture Notes in Networks and Systems, vol 98. Springer, Cham. https://doi.org/10.1007/978-3-030-33846-6_1
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DOI: https://doi.org/10.1007/978-3-030-33846-6_1
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