The Missing Piece of Digital Twins: Engineering Documents in Data-Centric Form

The Missing Piece of Digital Twins: Engineering Documents in Data-Centric Form

Virtual
InnoZone

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Using engineering documents in static PDF format is one of the most time-consuming, error-prone, and manual tasks that engineers undertake today, often resulting in long delays, rework, and unacceptable risk. These legacy artifacts of 1990s engineering are simply not compatible with today's digital thread workflow.

SWISS uses AI/ML and semantic analysis to transform legacy engineering documents into interoperable digital model data by extracting and inferring key elements such as requirements, definitions, references, context, parts, materials, processes, long lead time indicators, hazardous materials, and more. That data is stored in a knowledge graph and becomes easily accessible to digital thread applications such as PLM, MES, and more through a robust API. This session will illustrate concrete examples of reducing time, cost, risk, (and frustration!) by transforming static engineering documents to interoperable model-based data.

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XSB/SWISS“The industry has waited too long for SWISS.” – Chief Engineer, Top Five Defense Contractor Why is so much engineering data and documentation still stuck in dead-text PDF? (e.g. internal specs, external standards, test plans, work instructions, TDPs, etc). This is no way to conduct modern design and manufacturing. SWISS uses AI/ML and semantic analysis to transform static engineering documents into interoperable, intelligent, and reusable model-based data – digital models – that integrates with the digital thread to reduce manual labor, cost, and risk through the entire product lifecycle. When you shift from static documents to digital models, it opens a new world of capabilities and benefits: Seamlessly move from reference to reference with interactive links, all in one source, no silo-hopping. Automatically identify and export requirements and test methods in a single click. Compare different versions in a redline view with just a single-click Use interactive data elements to create derivative documents (like work instructions, test plans, compliance requirements, and more) with dynamic tracking and updating Query a knowledge graph of your data for answers that were previously unavailable Populate enterprise applications (like PLM, MES) with dynamic product design and manufacturing data that was previously only available as static file attachments Reduce manual labor, shorten product lifecycles, and reduce errors, rework, and risk

Registered attendees

Andrew Bank
Andrew Bank
Strategy & Business DevelopmentXsb

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