In an article published in AIP Publishing, a journal belonging to the American institute of Physics, four experts from fleetenergies analyse telemetry transformation towards industry 4.0 convergence and its consequences for fuel management in the transportation and logistics sector.
The velocity, variety and volume of the data are essential in terms of fuel management and environmental impact in the transportation sector. In an article published by AIP Publishing, four experts from fleetenergies examine how the concept of Digital Twins (a digital replica of an object, a procedure or a system) gives a higher performance and makes it possible to optimise data communication, its commercial use in real time, operator reactivity, and quality control.
“Cloud services, data services and digital twins combined constitute a cost-driven and sustainable approach for fuel and eco-driving management in transportation,” say the authors of the article, Éric Elkaim, Kyriakos Agavanakis, Jérémy Cassia et Mickaël Drombry.
Their starting point was the observation that a holistic cyber physical approach is needed in order to create knowledge and added value from all the data streams and its associated events, which causes difficulties in implementation in terms of complexity, performance and costs. Furthermore, vertical solutions involving the acquisition of existing data often create silos with data that is organised separately, non-harmonised, and difficult to compare and correlate. This is a situation in total contradiction with the growing demand for a measurement procedure independent of manufacturers.
As a support for their theory of the use of Digital Twins, they use a case study that is presented in detail in the article. Based on the implementation of a virtual player, this study offers practical and effective solutions for the architecture implemented in terms of development effort, cost and optimisation of resources.
“Telemetry transformation towards industry 4.0 convergence … A fuel management solution for the transportation sector based on digital twins” may be accessed at https://aip.scitation.org/doi/abs/10.1063/5.0092279.