A digital twin reference architecture for pharmaceutical cannabis production

Spyrou, Orestis; Verdouw, Cor; Hurst, William

doi:10.1080/0951192x.2023.2257635

Cited by 3 publications

(1 citation statement)

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“…[ 28 ] introduced a conceptual framework for designing and implementing digital twins, tailored towards the farming sector; their framework consists of a control model based on a general systems approach and an implementation model based on the functional model of IoT-A. The work of [ 29 ] also proposed a reference architecture based on IoT-A for the development and implementation of digital twins in the agricultural sector. They built on the work of [ 28 ] by defining a set of architectural views that address different stakeholder concerns.…”

Section: State Of the Artmentioning

confidence: 99%

IoT-Based Framework for Digital Twins in the Industry 5.0 Era

Awouda,

Traini,

Bruno

et al. 2024

Sensors

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Digital twins are considered the next step in IoT-based cyber–physical systems; they allow for the real-time monitoring of assets, and they provide a comprehensive understanding of a system behavior, allowing for data-driven insights and informed choices. However, no comprehensive framework exists for the development of IoT-based digital twins. Moreover, the existing frameworks do not consider the aspects introduced by the Industry 5.0 paradigm, such as sustainability, human-centricity, and resilience. This paper proposes a framework based on the one defined as the outcome of a project funded by the European Union between 2010 and 2013 called the IoT Architectural Reference Model (IoT-A or IoT-ARM), with the aim of the development and implementation of a standard IoT framework that includes digital twins. This framework establishes and implements a standardized collection of architectural instruments for modeling IoT systems in the 5.0 era, serving as a benchmark for the design and implementation of an IoT architecture focused on digital twins and enabling the sustainability, resilience, and human-centricity of the information system. Furthermore, a proof of concept of a monitoring digital twin for a vertical farming system has been developed to test the validity of the framework, and a discussion of applications in the manufacturing and service sectors is presented.

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Section: State Of the Artmentioning

confidence: 99%