Research Area: Mobile Computing
he Internet of Things and Digital Twins are popular but quite distant concepts nowadays. Many problems arise along the efforts of combining these concepts. This research work focuses on these problems and considers the possible solutions on the example cases of two applications for lifecycle support of hydraulically actuated mobile working machines: remote surveillance and fatigue life estimation.
The main contributions of this dissertation include: determination of the main problems of running physics-based digital twins in the Internet of Things environment; the methods for remote surveillance and fatigue life estimation of hydraulically actuated mobile working machines based on simulation model of the machine; the structure for software systems implementing the developed methods; the techniques that facilitate the implementation of digital twins in the Internet of Things environment.
Name of the Researcher: Zhidchenko, Victor
Name of the Supervisor(s): Heikki Handroos
Year of Completion: 2019
University: Lappeenranta-Lahti University of Technology
Thesis Link: Home Page Url
