Abstract
The Industrial Internet of Things enables the realization of modular, flexible and efficient production processes. Machines and production plants are networked over various communication channels and organize themselves in an intelligent way to create products tailored to the customer’s specific needs. Highly networked system structures will evolve including the interference of humans as well as of machines. Apart from security, functional safety plays an increasingly important role in the networking of humans and machines. Especially in environments where humans interact with dangerous systems or moving in the same area as autonomous driving robots, it is very important to provide a maximum of safety. In this paper, a system solution is introduced, which detects the movement of persons, prevents collisions between autonomous driving machines and humans, and decreases the probability of potential hazards in the interaction between humans and machines, while the movement of all participants should not be restricted.
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References
Telawi, S., Hayek, A., Börcsök, J.: Safety-related system for detecting and controlling vehicles motion. In: Third IEEE International Conference on Technological Advances in Electrical, Electronics and Computer Engineering, Beirut, pp. 80–84 (2015)
International Electrotechnical Commission IEC/EN 61508: International standard 61508 functional safety: Safety Related systems: Second Edition, Geneva (2010)
Preschern, C., Kajtazovic, N., Kreiner, C.: Built-in security enhancements for the 1oo2 safety architecture. In: IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, Bangkok (2012)
Hayek, A., Machmur, B., Schreiber, M., Börcsök, J., Gölz, S., Epp, M.: HICore1: “Safety on a chip” turnkey solution for industrial control. In: 25th IEEE International Conference on Application-Specific Systems, Architectures and Processors, Zurich, pp. 74–75 (2014)
Fraden, J.: Handbook of Modern Sensors: Physics, Designs, and Applications, 4th edn. Springer, New York (2010). https://doi.org/10.1007/978-1-4419-6466-3
National Center for Biotechnology Information. http://www.ncbi.nlm.nih.gov
Telawi, S., Machmur, B., Suna, Y., Hayek, A., Börcsök, J., Pinders, U., Schreiber, W.: Network-based safety-related vibration and position analysis for railway vehicles: In: IEEE International Conference on Connected Vehicles and Expo (ICCVE), Vienna, pp. 155–161 (2014)
Morley, R.E., Richter, E.J., Klaesner, J.W., Maluf, K.S., Mueller, M.J.: In-shoe multisensory data acquisition system. IEEE Trans. Biomed. Eng. 48(7), 815–820 (2001)
Pappas, I.P.I., Keller, T., Mangold, S.: A reliable, gyroscope based gait phase detection sensor embedded in a shoe insole. Proc. IEEE Sens. 2, 1085–1088 (2002)
Bamberg, S.J.M., Benbasat, A.Y., Scarborough, D.M., Krebs, D.E., Paradiso, J.A.: Gait analysis using a shoe-integrated wireless sensor system. IEEE Trans. Inf. Technol. Biomed. 12(4), 413–423 (2008)
Howell, A.M., Kobayashi, T., Chou, T.R., Daly, W., Orendurff, M., Bamberg, S.J.M.: A laboratory insole for analysis of sensor placement to determine ground reaction force and ankle moment in patients with stroke. In: 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Diego, CA, pp. 6394–6397 (2012)
Howell, A.M., Kobayashi, T., Hayes, H.A., Foreman, K.B., Bamberg, S.J.M.: Kinetic gait analysis using a low-cost insole. IEEE Trans. Biomed. Eng. 60(12), 3284–3290 (2013)
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Hayek, A., Telawi, S., Klos, J., Börcsök, J., Abi Zeid Daou, R. (2018). Smart Wearable System for Safety-Related Industrial IoT Applications. In: Fortino, G., et al. Interoperability, Safety and Security in IoT. InterIoT SaSeIoT 2017 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 242. Springer, Cham. https://doi.org/10.1007/978-3-319-93797-7_17
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DOI: https://doi.org/10.1007/978-3-319-93797-7_17
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