A framework for work process modeling in the chemical industries

Theißen, Manfred; Hai, Rihan; Marquardt, Wolfgang

doi:10.1016/j.compchemeng.2010.10.012

Cited by 13 publications

(5 citation statements)

References 13 publications

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“…Even if the process view is the most crucial view in the whole framework, this topic is not covered here, as the definition of working processes is always specific for the use case and the company it is designed for. For a general view, we recommend having a look at the work of Theißen, Hai, Marquardt [38]. In the following, we will have a deeper look into the systems & platforms view as well as the data view.…”

Section: Implementation Roadmapmentioning

confidence: 99%

Towards a Systematic Data Harmonization to Enable AI Application in the Process Industry

Wiedau

Tolksdorf

Oeing

et al. 2021

Chemie Ingenieur Technik

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Current methods of artificial intelligence may often proof ineffective in the process industry, usually because of insufficient data availability. In this contribution, we investigate how data standards can contribute to fulfill the data availability requirements of machine learning methods. We give an overview of AI use cases relevant in the process industry, name related requirements and discuss known standards in the context of implicit vs. explicit data. We conclude with a roadmap sketching how to bring the results of this contribution into practical application.

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Section: Implementation Roadmapmentioning

confidence: 99%

Towards a Systematic Data Harmonization to Enable AI Application in the Process Industry

Wiedau

Tolksdorf

Oeing

et al. 2021

Chemie Ingenieur Technik

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“…Hybrid automata [11] also seem to be an interesting way to represent the structure and behaviour of the physical process. In the field of plant operation engineering, the graphical representation of operation can be done with different languages, such as OPNet (Operation Procedure NETwork) [12], Petri nets [13], UML based approaches [14], Grafchart models [15], the procedure-oriented graphical notation ProcGraph for the specification of the process control software [16] or the FRDL (Formal Recipe Description Language) [17]. On the basis of these Discrete Event Systems representations, the problem of sequence determination can be considered as a research and trajectory analysis in a state space characterizing the evolutions of a set of dynamic models.…”

Section: Related Workmentioning

confidence: 99%

Architecture assessment for safety critical plant operation using reachability analysis of timed automata

Gouyon

Pétin

Cochard

et al. 2020

Reliability Engineering & System Safety

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This article deals with the validation of critical industrial process architectures from the point of view of safety and operation. During the engineering phases, the objective is to complement conventional safety studies with an approach that focuses on plant operation. In this context, one of the major challenges is to provide a guarantee that the designed architecture will be able to react safely to critical situations and events. To face the complexity resulting from the large number of functionalities and devices of the installations under consideration, the proposed approach is based on dynamic models of architectures, using the formalism of timed automata and reachability analysis to verify that, given a particular configuration of an architecture, the process can be safely operated to achieve a given objective. The result is a formal tool that allows engineers and plant operators to evaluate architecture safety with different types of dysfunctional scenarios based on their operational safety expertise. The article presents the formal modelling framework, which emphasizes structured modelling using patterns to promote reuse and instantiation over several candidate architectures. The contribution is illustrated and discussed using an experimental laboratory platform.

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“…Furthermore, OntoCAPE provides chemical engineering concepts needed for describing structural and phenomenological details of the chemical process. Based on this ontology, a framework for work process modeling in the chemical industries has been developed [14]. This framework comprises an iterative modeling procedure, an extensible modeling language for work processes (including temporal aspects of chemical operations), and software tools for its practical application.…”

Section: Ontology-based Model For Process Designmentioning

confidence: 99%

Ontology-Based Model for Food Transformation Processes - Application to Winemaking

Muljarto

Salmon²,

Neveu³

et al. 2014

Communications in Computer and Information Science

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International audienceThis paper describes an ontology for modeling any food processingchain. It is intended for data and knowledge integration andsharing. The proposed ontology (Onto-FP) is built based on four mainconcepts: Product, Operation, Attribute and Observation. This ontologyis able to represent food product transformations as well as temporal sequenceof food processes. The Onto-FP can be easy integrated to otherdomains due to its consistencies with DOLCE ontology. We detail anapplication in the domain of winemaking and prove that it can be easyqueried to answer questions related to data classication, food processitineraries and incomplete data identication

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A framework for work process modeling in the chemical industries

Cited by 13 publications

References 13 publications

Towards a Systematic Data Harmonization to Enable AI Application in the Process Industry

Towards a Systematic Data Harmonization to Enable AI Application in the Process Industry

Architecture assessment for safety critical plant operation using reachability analysis of timed automata

Ontology-Based Model for Food Transformation Processes - Application to Winemaking

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