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Model-Based Digital Threads for Socio-Technical Systems

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Machine Learning for Smart Environments/Cities

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 121))

Abstract

Smart environments can be built by connecting smart devices and control systems, which coexist as an integrated system that supports everyday activities. A digital thread gives the necessary support to introduce smartness in socio-technological systems. Digital threads are not only useful in the development of these systems, but also to facilitate the development of rich digital models or digital twins, bringing even more smartness to these systems. This chapter discusses how Model-Based System Engineering (MBSE) can be applied to design a digital thread of a Traffic Monitoring System (TMS) for a smart city. A TMS aims at increasing traffic safety by monitoring vehicles and pedestrians using road infrastructure, with potential impact on the reduction of environmental pollution and foster economic development. Designing a digital thread for a smart TMS is a challenging task that requires a consistent conceptual modelling approach and an appropriate design methodology supported by integrated tools. SysML (Systems Modeling Language) has been designed to support the specification of socio-technological (cyber-physical) systems like a TMS and gives integrated support to apply MBSE. This chapter shows how SysML can be applied to create a digital thread that defines the traceability between requirements, design, analysis, and testing. This digital thread represents both the physical and virtual entities of the system, enabling the development of digital twins for simulating, testing, monitoring, and/or maintaining the system. SysML is currently being redesigned, and the new SysML v2 aims to offer precise and expressive language capabilities to improve support to system specification, analysis, design, verification, and validation. This chapter also discusses how SysML v2 is expected to facilitate the development of digital threads for socio-technological systems like a TMS.

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Notes

  1. 1.

    https://github.com/Systems-Modeling/SysML-v2-Release.

  2. 2.

    https://intercax.com/products/syndeia/.

  3. 3.

    https://www.aras.com/en/why-aras/digital-thread.

  4. 4.

    https://github.com/Systems-Modeling/SysML-v2-Pilot-Implementation

  5. 5.

    https://github.com/Systems-Modeling/SysML-v2-API-Services

  6. 6.

    https://intercax.com/products/syndeia/

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Authors and Affiliations

  1. University of Twente, Enschede, The Netherlands

    Marcus Vinicius Pereira Pessoa, Luís Ferreira Pires & João Luiz Rebelo Moreira

  2. Hebei University of Technology, Tianjin, China

    Chunlong Wu

Authors
  1. Marcus Vinicius Pereira Pessoa
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  2. Luís Ferreira Pires
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  3. João Luiz Rebelo Moreira
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  4. Chunlong Wu
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Corresponding author

Correspondence to Marcus Vinicius Pereira Pessoa .

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Editors and Affiliations

  1. Polytechnic of Coimbra, ESTGOH, Rua General Santos Costa, Oliveira do Hospital, Portugal

    Gonçalo Marques

  2. Grupo de Investigación BISITE, Departamento de Informática y Automática, Facultad de Ciencias, Instituto de Investigación Biomédica de Salamanca, Universidad de Salamanca, Salamanca, Spain

    Alfonso González-Briones

  3. Universidad Carlos III DE Madrid, Colmenarejo, Spain

    José Manuel Molina López

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Pessoa, M.V.P., Pires, L.F., Moreira, J.L.R., Wu, C. (2022). Model-Based Digital Threads for Socio-Technical Systems. In: Marques, G., González-Briones, A., Molina López, J.M. (eds) Machine Learning for Smart Environments/Cities. Intelligent Systems Reference Library, vol 121. Springer, Cham. https://doi.org/10.1007/978-3-030-97516-6_2

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