Industrial Plant Topology Models to Facilitate Automation Engineering

Koziolek, Heiko; Rückert, Julius; Berlet, Andreas

doi:10.1007/978-3-030-58167-1_8

Cited by 7 publications

(2 citation statements)

References 24 publications

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“…The technique used for modelling topologies will be specific to the analytical requirements of each use case. For example, traditional implementations include Building Information Management [10], Computer Aided Design drawings and manufacturing process diagrams [8] which are used by domain professionals depending on their skills. They have also been heavily represented using various discrete graph techniques [10] [9] due to the availability of structural analysis algorithms and extensibility [6].…”

Section: Topology Modelsmentioning

confidence: 99%

“…A containment query would return all assets contained within a certain room, factory or server, while a proximity query would return all assets spatially located within a given distance. Previously in manufacturing, topologies have been employed for modelling industrial processes to formally describe a plant structure [8]. They have also been employed for adaptive security and forensics of cyber-physical environments [9][10] [11] [12].…”

Section: Introductionmentioning

confidence: 99%

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Topology-Aware Adaptive Inspection for Fraud in I4.0 Supply Chains

Welsh

Alrimawi

Farahani

et al. 2023

IEEE Trans. Ind. Inf.

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Supply chain fraud involving counterfeit or adulterated products presents threats to human health and safety. Quality Inspection is a key fraud mitigation tool where inspection planning involves allocating inspection resources across geographically dispersed assets considering both the cost and value of the inspection. I4.0 environments pose further challenges as their heterogeneous and dynamic cyber-physical environment creates a large inspection resource allocation solution space, causing the corresponding analysis to be computationally complex. In this paper, we contribute to supporting optimal inspection decisions of dynamic cyber-physical supply chains through the use of structural representationstopologies of the supply chain, physical premises, and their production context. We present an approach for topology modelling of supply chains, and illustrate its use within an adaptive inspection approach, showing that structural information can reduce malicious process discovery times by up to 90%.

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