Requirements engineering of industrial automation systems: Adapting the CESAR requirements meta model for safety-critical smart grid software

Sinha, Roopak; Patil, Sandeep; Pang, Cheng; Vyatkin, Valeriy; Dowdeswell, Barry

doi:10.1109/iecon.2015.7392423

Cited by 6 publications

(1 citation statement)

References 27 publications

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“…In [10], the cost-efficient methods and processes for safety relevant (CESAR) requirements meta-modelling is adopted for a distributed protection system for the smart grid. The requirements are modelled using the boiler-plates methodology which provides semi-formal modelling of requirements.…”

Section: Related Workmentioning

confidence: 99%

On requirements-driven design of distributed smart grid automation control

Yang

Vyatkin

2017

2017 IEEE 15th International Conference on Industrial Informatics (INDIN)

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This paper proposes a novel method of modelling requirements for smart grid automation systems that fits and complements the leading standards used for software development in smart grid: IEC 61850 and IEC 61499. Ontological representation is used to formally model the systems requirements and the integration of the requirement modelling to be used in conjunction with IEC 61850 specifications and IEC 61499 implementation. The proposed model is illustrated on a case study presented by the CIGRE working group where the system requirement in natural language was firstly modelled in ontology, then implemented in IEC 61499. Lastly, the resulting IEC 61499 control system was tested and validated against the system requirement by signal testing of the end control system.

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Section: Related Workmentioning

confidence: 99%

On requirements-driven design of distributed smart grid automation control

Yang

Vyatkin

2017

2017 IEEE 15th International Conference on Industrial Informatics (INDIN)

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Requirements engineering in industry 4.0: State of the art and directions to continuous requirements engineering

Barcelos,

Antonino,

Nakagawa

2024

Systems Engineering

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The 4th Industrial Revolution, also known as Industry 4.0, intends to transform manufacturing processes into smart factories with full digitalization and intelligent, decentralized, and flexible production. In this scenario, Industry 4.0 systems (i.e., software‐intensive systems that automate smart factories) have required rigorous and continuous development, but smart factory companies often have difficulty dealing with Requirements Engineering (RE) where requirements continuously change and emerge at runtime to support the changeability of complex production processes. Such requirements encompass engineering (e.g., mechanical, electrical, electronic, production/manufacturing) and business areas and involve the vertical and horizontal integration of heterogeneous manufacturing systems. There is also a lack of a panorama of how Industry 4.0 projects have performed with RE activities. The main goal of this paper is to present the state‐of‐the‐art research concerning RE in Industry 4.0 and draw attention to the next most urgent steps. For this, we selected and examined studies that address RE for Industry 4.0, noting that much of this literature is recent but does not fully address the complexity and dynamism of the requirements for Industry 4.0. Grounded on these studies and our academic and industry experience, we highlight the need for Continuous Requirements Engineering (CRE) for Industry 4.0.Significance and Practitioner Points: The main implications of this paper are: (i) For researchers: It offers the state of the art of RE in the context of Industry 4.0 and points out several important open issues that require an urgent investigation through new research topics; and (ii) For practitioners: It provides directions for new or even existing Industry 4.0 projects on how to deal with RE activities aiming to overcome the several challenges to perform them.

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