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Remote Access and Automation of SONIC Analysis System

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Cyber-physical Systems and Digital Twins (REV2019 2019)

Abstract

Non-Destructive Testing (NDT) is an analysis technique to evaluate the properties of a component without causing damage to it. SONIC Analysis is one technique of NDT using sound. This Paper discusses in detail—implementation of Remote Health Monitoring of SONIC Analysis Plant. The system has been developed over the last few years, with each interaction bringing more remote access and automation to the plant. We discuss the plant as it evolved and how different aspects of Remote Engineering and Remote Health Monitoring were implemented with each interaction. The paper also discusses the outcomes of the initial model to the later models. The discussion about the advantages of the Non Destructive method are highlighted. The System of Consists of 3 three parts: (1) The Physical Testbed (2) Cloud Server for Data processing and (3) HMI for user interaction. The Key outcomes include: (1) Ensured Uptime of the system (2) Provide statistical Reports (3) Remote Diagnosis.

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References

  1. Hertlin, I., Schultze, D.: Acoustic Resonance Testing: The Upcoming Volume-Oriented NDT Method

    Google Scholar 

  2. Baker, N.: Techniques for Optimisation and Analysis of Composite Structures for Damage Tolerance and Buckling Stiffness

    Google Scholar 

  3. Stultz, G.R., Bono, R.W., Schiefer, M.I.: Fundamentals of Resonant Acoustic Method NDT

    Google Scholar 

  4. Ewins, D.J.: Modal Testing: Theory and Practice

    Google Scholar 

  5. Juran, J.M., Godfrey, A.B.: Juran’s Quality Handbook, 5th edn. McGraw-Hill, New York

    Google Scholar 

  6. Jonsson, K., Westergren, U.H., Holmström, J.: Technologies for value creation: an exploration of remote diagnostics systems in the manufacturing industry. Inf. Syst. J. 18(3), 227–245 (2008)

    Article  Google Scholar 

  7. Smajic, H., Wessel, N.: Remote control of large manufacturing plants using core elements of Industry 4.0. In: Online Engineering & Internet of Things, pp. 546–551. Springer, Cham (2018)

    Google Scholar 

  8. Angrisani, L., Cesaro, U., D’Arco, M., Grillo, D., Tocchi, A.: IOT enabling measurement applications in Industry 4.0: platform for remote programming ATES. In: 2018 Workshop on Metrology for Industry 4.0 and IoT, pp. 40–45. IEEE (2018)

    Google Scholar 

  9. Steels, L., Brooks, R.: The Artificial Life Route to Artificial Intelligence: Building Embodied, Situated Agents. Routledge (2018)

    Google Scholar 

  10. Stergiou, C., Psannis, K.E., Kim, B.G., Gupta, B.: Secure integration of IoT and cloud computing. Future Gener. Comput. Syst. 78, 964–975 (2018)

    Article  Google Scholar 

  11. Fitzgerald, R., Karanassios, V.: The Internet of Things (IoT) for a smartphone-enabled optical spectrometer and their use on-site and (potentially) for Industry 4.0. In: Next-Generation Spectroscopic Technologies XI, vol. 10657, p. 1065705. International Society for Optics and Photonics (2018)

    Google Scholar 

  12. Wang, S.: Remote real-time monitoring system based on cloud computing. U.S. Patent No. 9,967,168, 8 May 2018

    Google Scholar 

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Correspondence to Kalyan Ram B. .

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Ram B., K. et al. (2020). Remote Access and Automation of SONIC Analysis System. In: Auer, M., Ram B., K. (eds) Cyber-physical Systems and Digital Twins. REV2019 2019. Lecture Notes in Networks and Systems, vol 80. Springer, Cham. https://doi.org/10.1007/978-3-030-23162-0_76

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