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DII p2

DII p2

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This presentation outlines our vision on the D-Reader, the product our company develops. The product is focused on automated understanding of engineering drawings.

This presentation outlines our vision on the D-Reader, the product our company develops. The product is focused on automated understanding of engineering drawings.

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DII p2

  1. 1. DII Presentation 2 Digitising legacy assets
  2. 2. Digitising an asset requires two main tasks: 1. Creating the exact model based on the asset’s original design 2. Ensuring that model is identical to today’s condition of the asset Two key steps
  3. 3. The first step is usually done by creating a 3-D model of the asset, or its digital copy, combining all levels including forms, shapes, components, materials and engineering systems (for complex objects). Usually all those data must be kept in the original engineering documentation. For legacy assets, that documentation is kept on paper or in ‘old’ 2-D CAD files. Creating a single, 3-D digital model from them is mainly done manually, though some operations are semi-automated. That work requires engineering work hours, which immediately raises the cost and time component of the initiative. For some large assets, this can become a significant endeavour. Digitising an original design
  4. 4. The original design is converted into digitial model
  5. 5. The second part is performed by applying the actual measurements to the original model. This step is required because of the need to ensure that any changes made during construction have been captured. Normally, the design drawings had to be updated with ‘as-built’ drawings if the changes were made during construction/fabrication of the asset. However, in many cases the ‘as-built’ drawings were not created; hence they must be created during asset digitising process. Various measurement methods are used in this case. Mainly, there are three options: manual measurements, comparing the model to photo/video data, and laser scanning. Ensuring it mirrors actual object
  6. 6. The designed model need to mirror actual object
  7. 7. “Laser scanning”, also known as “3D mapping” or “high definition surveying (HDS)”, is the most quick but accurate way of providing the object’s shape. It is being performed both indoors and outdoors with various types of equipment available on the professional market. The result of laser scanning is a 3-D drawing of the object performed with high accuracy. However, it does not recognize any physical properties of the object apart from its shape. Laser scanning can provide us with knowledge of the actual shape and, along with analysing images of the object, can show if there are any missing parts or changes. The comparison process will include all data available, its alignment with the original 3-D model, identifying the differences, and deciding on the correction. In the construction industry, this process is called “Scan to BIM” or “point cloud to BIM” and it is not automated. Laser scanning and Scan-to-BIM
  8. 8. Laser scanning
  9. 9. Laser scanning
  10. 10. Laser scanning
  11. 11. Converting data from 3-D scanning into BIM (“scan-to-BIM”)
  12. 12. Converting data from 3-D scanning into BIM (“scan-to-BIM”)
  13. 13. Converting data from 3-D scanning into BIM (“scan-to-BIM”)
  14. 14. Many actions required for creating digital models can be automated. Some automation can be based on well-known methods and contemporary software. Some can be developed using existing methods. However, some methods have to be invented. Combining all of above can create a platform able to automate the creation of the digital models. Realistically, it is difficult to say at this point of time when that platform will be able to provide complete automation, though manual input will still be required at some point. However, there will be a substantial decrease of the level of manual input, especially engineering hours, required to re-create the model as the platform will dramatically simplify the digitisation process. That simplification will allow massive numbers of assets to obtain a digital form, which in turn will enable using various applications with it. Automation
  15. 15. Our plan is to offer a high degree of automation and conduct constant work and research and improve the process over time. The platform will include both AI elements, specifically for computer vision and analytical algorithms which, when combined, can enable the software to “read” the drawings and build the models. A specific case will be shown in the next presentation. Automation
  16. 16. Turning old drawings into clean vector format
  17. 17. Some key methods, which have been developed and are available on the market, will be used in the software: - De-noising the original drawings - Raster to vector conversions (the processing of scanned drawings and defining symbols and lines). - Recognising symbols - Assigning the meaning to symbols - Applying photo and video data to the drawing - Applying 3-D scanning data to the drawing. Key methods already developed
  18. 18. The methods can be developed based on existing algorithms and some dataset training: (when the software understands the role of the symbol on the drawing) - Understanding key areas of the drawing - Understanding the type of product and materials - Determining the service graphics from the main lines of the object - Determining the differences between drawings, photo, scanned images Key methods can be developed
  19. 19. Actual object BIM
  20. 20. Actual object BIM
  21. 21. BIM Actual object
  22. 22. Critical new algorithms required: 1. Combining all drawings into one 3-D model. Essentially converting a 2-D to a 3-D model. 2. Assembling parts into complex components and components into overall product Its work is explained in the next presentation. New algorithms
  23. 23. Creating 3-D model from the 2-D drawing
  24. 24. Creating 3-D model from the 2-D drawing
  25. 25. Creating complex assemblies of components
  26. 26. Thank you This was Presentation 2 of 3 outlining the DII business case. Presentation 3 walks through the process of creating a 3-D model from the 2-D drawing. www.dii.ai

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