Abstract
The paper presents an innovative mobile application enabling the security and safety inspectors of Oil & Gas Transportation to receive in their car all the real-time data necessary to drive them to the visual evidence of the truck driver’s unsafe or dishonest activities. The application works on the top of an IoT platform managing a sensor network installed on over 3,000 tank trucks. The paper presents the application domain, the architecture, the implementation, and the experiments, also reporting a set of quantitative experimental results that validate the application effectiveness. The results also qualify the application as one of the first cases of real-time Cyber-Physical Systems for Logistics and Transportation Safety and Security validated for the measured impact on the operations, and not just in terms of scenarios or technology potentials.
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Notes
- 1.
Being 0.5% the tolerance accepted by the European Standard Measurement Instrument Directive (MID), the cumulated accepted errors of both the load and the unload measurements, corresponding to a 40,000-L trip is 40 L, i.e., a value of about 60 Euros per trip, including the taxes. For an average of 2 trips per day, that value is more than 2.700 Euro per month, for each truck. Considering a typical 200 trucks fleet working daily for a medium oil company the non-accountable product loss standing within the MID’s tolerance corresponds to over 6 million euros per year.
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Zingirian, N. (2022). Cyber-Physical Application for the Safety and Security Enforcement in Oil and Gas Transportation. In: Camarinha-Matos, L.M., Heijenk, G., Katkoori, S., Strous, L. (eds) Internet of Things. Technology and Applications. IFIPIoT 2021. IFIP Advances in Information and Communication Technology, vol 641. Springer, Cham. https://doi.org/10.1007/978-3-030-96466-5_12
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