학술논문

An Approach to Support Digital Process Twin
Document Type
Conference
Source
2022 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), 2022 IEEE Intl Conf on. :1-4 Sep, 2022
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Visualization
Autonomous systems
Computational modeling
Collaboration
Data models
Behavioral sciences
Digital twins
Digital process twin
Language
Abstract
Nowadays, the digitalization of business processes goes hand in hand with the adoption of IoT and robotic systems for automating work activities, leading to the birth of new ways of representing organizational information, i.e. digital twins. However, interpreting the behavior of autonomous systems, especially those with several devices, and keeping track of their execution status can be very difficult even using ad-hoc simulators. Therefore, there is the need for a digital process twin representing, simulating, and visualizing systems’ behavior. In this regard, this work proposes an approach to support the digital process twins of autonomous systems by representing, simulating, and visualizing the system behavior. We demonstrate the benefits of the approach by applying it to a robotic scenario.