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Cloud Computing
Published in Antonio Sartal, Diego Carou, J. Paulo Davim, Enabling Technologies for the Successful Deployment of Industry 4.0, 2020
Vidosav D. Majstorovic, Slavenko M. Stojadinovic
Finally, in the last stage – embodiment design and detail design – the final structure and geometry of the product are defined. For several decades, this area has been using a variety of digital tools referred to as computer-aided design systems. Today, for CC support this field utilizes Autodesk 360 and AutoCAD 360, which have the following features: (a) share documents using cloud storage services such as Dropbox, Box and others; and (b) view, create and edit 2D drawings in the DWF and DWG formats on multiple devices using a web browser, smartphone, tablet and desktop computer. Among the cloud-based 3D CAD tools is Fusion 360, which includes the following unique features through the cloud: freeform shape modelling, solid modelling, parametric modelling and mesh modelling. One of the best-known tools for this area is Teamcenter, a cloud-based tool design developed by Siemens (PLM software). The features of which include: (a) enterprise-grade ICT infrastructure and resources; (b) fast deployment options and simplified scalability for lower cost; and (c) use of the IaaS platform. Other examples include: Dassault Systems has developed cloud-based solutions such as cloud-based Solidworks, CATIA and Simulia via the 3D Experience Platform. Specifically, the features of Solidworks on the cloud include CAD animation, revision control, part and assembly modelling, tolerance analysis, CAD library and interference check.
Gaze-Contingent Multimodality Displays for Visual Information Fusion: Systems and Applications
Published in Rick S. Blum, Zheng Liu, Multi-Sensor Image Fusion and Its Applications, 2018
Stavri Nikolov, Michael Jones, Iain Gilchrist, David Bull, Nishan Canagarajah
For our experiments with multilayered geographical maps (see Section VII.B), we used maps stored in the drawing web format (DWF). DWF is an open vector file format developed by Autodesk for the transfer of drawings over networks. In order to view DWF files one can use a standard web browser plug-in, such as Autodesk’s WHIP63 (this is the viewer we have used) or Volo View.64 Then, inside the browser window it is possible to pan and zoom in or out, and most importantly for our studies, toggle different map layers “on” or “off”. In order to use the GCMMD system described above, “foreground” and “background” images are generated [shown] in WHIP and stored as bitmap files, each one containing information from a number of layers of the DWF map (see Figure 15.12). These bitmap images are then used to construct a GCMMD using texture mapping. There is no need for spatial registration of the input images, since identical WHIP viewing parameters (position and magnification) are used for each.
SMEs, micro-SMEs and BIM
Published in James Harty, Tahar Kouider, Graham Paterson, Getting to Grips with BIM, 2015
James Harty, Tahar Kouider, Graham Paterson
Typical file types will include native model files, IFC format for export and 3D model viewing between disciplines, and DWG, DWF, DXF formats for 2D CAD drawings, Adobe PDF files (commonly used for deliverables like contract drawings), image files JPG, GIF, TIF, PNG, Excel spreadsheet files (XLS) for COBie data, and environmental analysis files in native or neutral (for example, gbXML) formats. Even a small project might involve cross-disciplinary dialogue which draws from an inventory of up to 20 different source file types. As a subset of file types, there is also the issue of versions, for example, the IFC file format has evolved through a number of versions. BIM authoring software providers may use different variations of ‘standard’ file types. It is a complex digital mix which needs to be managed carefully and with authority.
Operability of Point Cloud Data in an Architectural Heritage Information Model
Published in International Journal of Architectural Heritage, 2022
Juan Moyano, Juan E. Nieto-Julián, Lara M. Lenin, Silvana Bruno
The current BIM software products allow to generate 3D objects from point cloud data. This constitutes an important step when modelling heritage buildings, even when these objects are not parametric and are only useful to obtain measurements, thus acting as auxiliary elements for 3D reconstruction. Software interoperability in object modelling from point cloud data is also important. BIM can handle different types of information, from a point cloud to drawings representing plans (.pdf or .dgn, .dwf, and .dwg vector formats) that can be used as templates to help build the model. The precision is another variable that the point cloud can achieve in the old 3D models, since it replaces 2D CAD previous procedures which implied significant manual work when identifying and creating edges and surfaces. In this sense, deep learning and machine learning can contribute to speed-up modeling tools but, first of all, we need a significant amount of supervised training for including our knowledge into a piece of software.