C2PS: A Digital Twin Architecture Reference Model for the Cloud-Based Cyber-Physical Systems

By Kazi Masudul Alam, Abdulmotaleb El Saddik. IEEE Access, 2017

608 citations recorded by the source corpus.

Cyber-physical system (CPS) is a new trend in the Internet-of-Things related research works, where physical systems act as the sensors to collect real-world information and communicate them to the computation modules (i.e. cyber layer), which further analyze and notify the findings to the corresponding physical systems through a feedback loop. Contemporary researchers recommend integrating cloud technologies in the CPS cyber layer to ensure the scalability of storage, computation, and cross domain communication capabilities. Though there exist a few descriptive models of the cloud-based CPS architecture, it is important to analytically describe the key CPS properties: computation, control, and communication. In this paper, we present a digital twin architecture reference model for the cloud-based CPS, C2PS, where we analytically describe the key properties of the C2PS. The model helps in identifying various degrees of basic and hybrid computation-interaction modes in this paradigm. We have designed C2PS smart interaction controller using a Bayesian belief network, so that the system dynamically considers current contexts. The composition of fuzzy rule base with the Bayes network further enables the system with reconfiguration capability. We also describe analytically, how C2PS subsystem communications can generate even more complex system-of-systems. Later, we present a telematics-based prototype driving assistance application for the vehicular domain of C2PS, VCPS, to demonstrate the efficacy of the architecture reference model.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/235ab5668ad2d8ca10740c86ca90062d7a8ae712

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Citations in the corpus

Digital twin-driven manufacturing cyber-physical system for parallel controlling of smart workshop (2018, background): “Simulation and seamless transferring data from one life cycle phase to the subsequent phase is the core of the digital twin vision (Alam and El Saddik 2017).”
Digital Twin: Vision, Benefits, Boundaries, and Creation for Buildings (2019, background): “’’ In discussing modern advancement in innovative internet technologies and WSN, IoT has emerged as a ubiquitous global computing network where the collected data from more affordable and available sensors and actuators can be utilized for data analysis-based control of the resources or physical env”
Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020, background): “For instance, [255], [257], and [263] clearly point to the needs of the manufacturing industry and how the DT and their proposed architecture can help.”
A Survey on Digital Twin: Definitions, Characteristics, Applications, and Design Implications (2019, background): “A DT may be part of a Cyber-Physical System [47], [48], which can be described as a set of physical entities (e.g. devices, objects, equipment, humans) that interact with a virtual cyberspace through a communication network.”
Digital twin paradigm: A systematic literature review (2021, background): “However, DTs focus more on virtual models, while CPS emphasize 3C capabilities (computing, communication and controlling).”
Federated Learning With Cooperating Devices: A Consensus Approach for Massive IoT Networks (2019, background): “0 [3], cyber–physical systems (CPSs) [4], and smart mobility [5].”
Digital twin-driven rapid individualised designing of automated flow-shop manufacturing system (2019, background): “Simulation and seamless transferring of data from one life cycle phase to the subsequent phase are the core of the digital twin vision (Alam and El Saddik 2017; Derberg et al. 2017).”
Digital Twin for rotating machinery fault diagnosis in smart manufacturing (2018, methodology): “In Alam and El Saddik (2017), a Digital Twin architecture reference model is put forward for the cloud-based cyber-physical systems (C2PS), and it is applied to a vehicle driving assistance system based on remote information processing.”
Digital Twin: Enabling Technologies, Challenges and Open Research (2020, background): “Years of research in the maintenance of machines has produced the term prognostics and health management (PHM) primarily used in an industrial setting as it can be applied to the health and manufacturing processes from small to large scale plants [92] [93] [23].”
Digital Twin: Values, Challenges and Enablers From a Modeling Perspective (2019, unknown): “[78] K.”