CONTEXT & Issues
A key stage in the life cycle of industrial projects, particularly for plant facilities, is ensuring that the regulatory and standards framework is properly incorporated into project and system requirements.
This involves adapting what is usually generic documentation into a framework of requirements specific to the project.
This stage is complex, as it involves several disciplines and specialisms, and remains particularly time-consuming due to the volume, density and diversity of the documents to be analysed.
It is also critical, as any misinterpretation or incomplete consideration of stakeholders’ expectations can lead to significant cost overruns and schedule delays.
the solution
DeepREXT enables the automation of requirements management using artificial intelligence. Key functionalities include:
- Centralised document repository: creation of a requirements database to be taken into account,
- Automatic recognition of requirements using AI models,
- Classification and rationalisation of requirements based on project elements (equipment, activity, etc.),
- Search and export tools enabling integration with an existing digital ecosystem.
In contrast to its competitors, DeepREXT requires minimal human intervention to extract, classify and rationalize requirements. The algorithms draw on existing data to derive thousands of rules.
CHARACTERISTICS OF THE SOLUTION
DeepREXT is an innovative solution that allows you to capitalise on expertise by automating repetitive and low value-add tasks (extraction of requirements from a regulatory corpus, allocation to technical scopes, etc.).
DeepREXT converts heterogeneous document formats into structured data using deep learning (DL) technologies.
Optical character recognition (OCR) and natural language processing (NLP) enable content to be analysed, requirements to be identified, and these to be classified and structured.
As the tool is used, the algorithms adapt to the type of requirement being processed and improves over time. The detected elements are integrated into a dedicated digital environment, with search engine capabilities and the possibility of export and collaboration.
Discover the whole DeepREXT solution and our case study on the RTI² project
objectives
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IDENTIFY and EXTRACT automatically a set of requirements structuring the project
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CLASSIFY requirements according to a defined typology (Functional / Non-functional)
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ENABLE the transition from a time-consuming implementation scheme to an expertise-based verification scheme
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OPTIMISE engineering requirements data efficiently through classification and rationalisation
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CENTRALISE and organise access to a project requirements database with a digital platform
Clients BENEFITS
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Reduction of the time needed to process applicable documentation
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Centralisation of technical data allowing quick access to information
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Better control of projects in terms of deadlines, risks and costs
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Better traceability of engineering choices
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Optimisation of impact analysis