BIMData™ Online 3D BIM Viewer
In 2018, I worked remotely with the BIMData development team in Lyon, France, to develop the WebGL-based 3D viewer
component of the BIMData online building information modeling (BIM) platform.
We developed the viewer on xeogl, an open source WebGL library I created for developing 3D model visualization applications in Web browsers without using plugins.
In this article, I’ll describe some of the features that I implemented within the viewer.
- The Client
BIM is a process involving the generation and management of digital representations of physical and functional characteristics
of buildings, usually while constructing them.
With IFC visualization, the main challenge is how to engineer a WebGL-based viewer that’s able to render huge quantities of objects within the memory and execution constraints of the browser. After all, IFC models often contain an individual element for every single fire sprinkler, electrical fitting, light panel, and so on.
BIMData is a company in Lyon, France that provides a cutting-edge online
BIM platform to manage your construction projects, including an all-in-one solution to visualize, check, edit and share
One of the coolest things about this platform is that it’s continuously up-to-date with the latest version of IFC (IFC2x3, IFC4 and IFC4.1).
- Load IFC models from glTF
- Emphasise and reveal objects using ghosting, wireframing and highlighting
- Ability to annotate models with 3D labels
- Cross section views
- Isolated object views
- Measurement tools, to find areas and distances within models
- A camera navigation gizmo similar to AutoDesk ViewCube
- Orbit, first-person and walk-through navigation modes
- Ability to capture and share views via BCF format
I implemented the BIMData viewer as a wrapper around xeogl, which is an open source library I created for WebGL-based visualization.
xeogl is also used in other commercial projects and is starting to receive contributions from other developers. This means that improvements and optimizations that we make to xeogl for those projects will also benefit the BIMData platform.
Being geared to engineering visualization, xeogl supports many of this project’s requirements out-of-the-box. For the more application-specific requirements, I extended it with proprietary components, for things like custom camera controls and interaction widgets.
For this job I sub-contracted David Lenaerts, a freelance graphics programmer, to help out with the math for 3D gizmo interactions. I’d recommend David to any developer who needs help with their WebGL projects.
Our viewer is a facade class that wraps xeogl in a set of application-specific functions, with a plugin architecture
into which we can incrementally add tools and gizmos.
This plugin architecture enabled us to deploy the core functionality of the viewer as soon as it was ready, then deploy various tools and gizmos incrementally, as we developed them.
glTF geometry pipeline
Geometry compression and batching
glTF gives us options for geometry compression, such as attribute quantization, in which floating-point geometry arrays are
compressed into integers, then decompressed on-the-fly within the WebGL vertex shader. This gives us smaller glTF files, a smaller
viewer memory footprint and reduced usage of GPU bandwidth.
When the glTF geometry is not quantized, then xeogl automatically quantizes it while loading. At the same time, xeogl also automatically combines geometries from multiple objects into the same vertex buffer objects (VBOs), in order to reduce the number of VBO binds per frame. This enables us to render models up to around 200k+ objects.
For the next version of xeogl (v0.9), I’m currently adding geometry batching in combination with instancing (using the ANGLE_instanced_arrays extension), which will enable BIMData to load millions of objects.
The BIMData platform is a complete information management platform that’s able to provide specific
information about any model elements that you select within the 3D view.
Within the viewer, I integrated xeogl’s picking mechanism to get the ID of any object that you click on, which the information manager UI then uses to populate itself from the model’s IFC data.
Annotations are notes that users pin to the surface of models. Our annotations are based on xeogl’s experimental
These are able to automatically hide themselves whenever something else occludes them in the 3D view.
Our users can create an unlimited number of cross-section planes, which they can arrange using mouse and touch input.
Under the hood, our cross-section planes use xeogl’s Clip components, which users can interactively arrange using our fancy repositioning gizmo. That was one of the bits that David Lenaerts helped out with.
ViewCube camera controller
Our ViewCube is a 3D camera orientation indicator and controller, which works the same as the
one by Autodesk Research. Ours is a 3D gizmo I implemented on xeogl, with clickable hotspots that fly the camera
to various vantage points.
Isolated object view
xeogl has some built-in emphasis effects, such as ghosting and wireframe. We’re using those for highlighting and
revealing BIM objects.
Edge emphasis and ghosting effects for X-ray view:
Our viewer has a bunch of tools to measure distances, angles and areas.
Using the distance measurement tool, users can select a pair of points on the surfaces of objects and get the direct
distance between them, as well as the distance on each of the X,Y and Z axis individually. Under the hood, this tool
uses xeogl’s 3D picking mechanism, while the distance tool itself is rendered using HTML elements layered over the WebGL canvas.
Camera navigation uses a custom xeogl component that allows users to control the camera with mouse and touch input. With our navigation component, users can orbit a point-of-interest, fly to selected objects, navigate in first-person mode, and “walk” to a point that they click on.
TODO: animated gif
The BIM Collaboration Format (BCF) is an open file format that supports workflow communication in BIM processes.
Our BCF system captures the complete visual state of the viewer as a JSON BCF record, that contains all the relevant viewer state, such as object visibilities and emphasis appearance, camera position, cross-section planes, annotations, as well as PNG snapshot image of the canvas.
Users can capture a BCF record of the viewer state, to indicate an issue within a model, then share that with other users, who can then load that view to see what the problem is.