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Next Level Digital Twin for the Porsche Workshops

Navigation Aug 12, 2021
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Linking CAD- Data, Meta Data and Automotive Workshop Media to Create a New Product Understanding - A project between Porsche and SPREAD

A car consists of about 30,000 parts . When repairing a specific car part, workshop technicians use repair manuals: step-by-step guides on how to take out parts. To create these manuals, the workshop media editors need to understand the dependencies, e.g. how and where parts are connected to each other and need to identify special technical details, e.g. safety- critical parts, torque, time value. Obtaining such information previously required intensive and time-consuming searches in multiple sources, such as Excel lists, databases, PDFs, and required very experienced editors who are product data experts. With the electrification of vehicles and the accompanying change in vehicle architecture, new specific product knowledge must be built up for the editors, which must be communicated simply and intuitively in the workshops. Porsche has thus partnered up with the Berlin-based company SPREAD.

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Porsche Aftersales defined a new workshop media strategy 2025+. The vision of the workshop media strategy is to develop a workshop digital twin . A one-to-one digital twin of a vehicle to link CAD-Data , Meta-Data and workshop media.

The strategy’s fields of action were defined as follows:

1) Efficient Editing - Data-driven media creation [automated and inter-linked]

2) On-demand Repair Route - Dynamic repair sequence [optimized for repair and work equipment]

3) Intuitive Media - Situational repair assistance [adaptive and intelligent]

SPREAD GmbH was quickly identified as a potential partner because of its focus on developing precisely such a visionary solution: the creation of a product intelligence platform. With such a platform and its 3D analytical capabilities, SPREAD enables a comprehensive engineering understanding down to the smallest screw, while at the same time creating the basis for an intelligent digital twin, which can be easily enriched, with its product information model.

The Project

Within the context of Startup Autobahn, the use case “Intelligent Analysis of Neighboring Parts” was selected. It forms the basis for the automized enrichment of product data and the intelligent identification of part dependencies in 3D.

It consists of three capabilities and features:

1) Neighboring Parts Analysis - Identification of directly (1st degree neighbors) and indirectly (2nd and 3rd degree neighbors) connected parts, for dependency analysis. Important to determine an order for demount sequences.

Neighboring Parts Analysis

2) Classification - Automated grouping of parts based on reference geometries and defined norm groups. In the first step, just for fasteners.


3) Filtering of Neighboring Parts - Intelligent filtering based on classes (e.g. fastener butterfly valve, screw butterfly valve, nut butterfly valve), but also based on context-related CAD analysis, by integrating the classification in the neighborhood analysis.

As a first step, the design prototypes and the classification logic were defined. Using their 3D analysis capabilities, SPREAD was able to quickly and easily identify all potential fasteners based on their geometry and provide them as a proposal to the Porsche colleagues. With this knowledge, Porsche was then able to coordinate the definition of the classification logic with the group standardization logic and thus define standardization-compliant fastener classes.

Future Outlook

Regarding the next steps, there is already a preliminary study underway to deepen the knowledge of the Startup Autobahn project and validate how the SPREAD solution can be further integrated into the Porsche infrastructure. In addition, extensions, and next steps on the way to the new digital, integrated and automated repair journey are being defined together with SPREAD.

Thanks to SPREAD’s software the search and validation time for the creation of repair manuals could be decreased by 50 percent in the future.

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