44 FORGE

Team Members:
Steffen Franz (TU Darmstadt), Robert Irmler (TU Darmstadt), Philipp Westner (Fraunhofer IAO), Andreas Hubel

Technologies used:
Project Tango, FORGE

Concept:
The project tries to contribute to the field of as-is BIM generation by fusing geospatial data and indoor spatial data. During the AEC Hackathon in Munich 2017 we developed a prototypic client-server architecture to achieve a live visualization of indoor scan data based on the Autodesk Forge Viewer and the Google Project Tango. We developed an Android App for the Tango tablet that integrates the Forge Viewer. We use the Tango technology to collect indoor spatial data of a building and post the data to a Node.js server in (almost) real-time. On the server-side we assemble data from multiple Tangos and distribute it to multiple clients via Web Socket connections. On the client-side we then integrate the indoor scan data into an existing Forge Viewer model of the buildings envelope geometry.

Github:
Tango App: https://github.com/SF85/ForgeLiveScanner
Server: https://github.com/PhilWestner/ForgeLiveServer

Two and a Half Developer

Team Members:  
Helge Hecht, Olli Kattelus, Daniel Zibion (TU Munich)

Technologies used:
FORGE

Project Name:
BIM Square

Concept: 
Using the Forge APIs in a scenario of collaboration with a focus on the change management between the different model revisions during a project. The viewer is used as a visual aid to convey information and serves as a reference during communication as well. A neat management of changes reduces the time consumption when searching for past mistakes and can help to communicate changes across disciplines more clearly.

GitHub Link: 
https://github.com/hechth/forge-boilers.nodejs

CTU group

Team Members:
Jan Petrš, Jindřich Ráftl, Michal Kovářik

Technologies used: 
Dynamo Studio, KUKA PRC, KUKA KR3

Concept:
FREFRAM project explores possibilities of using modular system for free-form architecture through computational design. FREFRAM is based on hexagonal shapes which are composed by Wang tile algorithm, extended by fractal division. During the workshop hexagonal shape fabrication was tested by robotic arm KUKA.

Presentation:
Pdf / Video

B(E)ACON

Team Members:
Jochen Teizer, Olga Golovina, Maneul Preschewski, Markus Propach (all Ruhr University Bochum)

Technologies used:
Revit, Dynamo, Microsoft Azur

Concept:
Digital transformation is an ongoing challenge in construction. Whereas central storage and planning with Building Information Modeling (BIM) can be considered state-of-the-art, the integration of real-time data like environmental and localization data of construction workers in indoor work environments can provide further benefits for safe operations management in construction and facility management. This project introduces the concept of permanent availability of up-to-date actual performance data sets through an Internet-of-Things (IoT) approach that integrates environmental and localization data in a cloud-based BIM platform. In our work, we reflect on the usage of Internet of Things (IoT) technology and the lean and injury-free (LIFE) construction management  approach, create a concept to implement the topics in existing systems, design and create a prototypical application, validate the prototype in field-typical work settings, and critically review the results.

Presentation:
Pdf / Video

TIDES

Team Members:
Alexander Grass, Junghwo Park, Ilie Stanese (SIDE GmbH), and Torsten Künzler (Bollinger-Grohmann)

Technologies used: 
Dynamo Studio, KUKA PRC, KUKA KR3

Project Concept:
With the development of the technology, it allows for us to embark on new construction methods. In particular, we are interested in Robotic Fabrication by using Autodesk Dynamo and Kuka package. The main idea for the proposal is to create the intelligent fabrication system for the real world construction, such as reinforcement bending and placement, penetrating panels, cutting, etc parametrically. The challenge was learning the visual scripting so as to control the Kuka robot and understand the constraints of the parameters. Therefore, we aim to explore the various scripting examples for the starting point. Our final goal is to create the complex floor slabs by cutting the material by using robot and place the columns on the slabs to construct nonhomogeneous spatial condition. In turn, fabrication always takes time and it was great challenge for us to understand the robotic fabrication throughout Hackathon.

Search

Team Members:
Caner Dolas (Formitas) , Gerrit Hoppe (Formitas)

Techonologies used:
Revit, Microsoft Hololens, Unity, Android SDK,

Project Concept:
We use Mixed Reality and IoT Technology to rescue people.
For doing this we provided a set of two apps. One Hololens Application that is for the rescue crew and one Smartphone application for the one who needs to be rescued. To get the Approximate Location of a Person, we try to figure out in which room he is. This is done either by automatically getting the location via beacons inside the rooms or manually by typing the roomnumber.   This information is then send to server.
On the other side, the rescue crew member with the hololens will be shown the fastest path to the person(s) in need.
The Building Information is delivered via a BIM Model.

Presentation:
youtube clip that shows “search” in action: https://www.youtube.com/watch?v=sNtZzf19voE

Minerva

Team Members:
Kerstin Schäfer, Martin Münnig, Gregor Brechmann, Jan-Friedrich Köhle (all Technische Hochschule Mittelhessen)

Techonologies used:
Autodesk Revit & Dynamo, UAV

Project Concept:
The aim of this project is the optimization of camera networks and flight routes for the photogrammetric survey of buildings and infrastructures. Optimal camera networks are characterized by the lowest possible number of camera views, which still allow a survey of the building or infrastructure geometry at a defined resolution. In addition to the photogrammetric optimization, the flight characteristics of the UAV must also be considered. At the hackathon a first basic algorithm for the survey of simple building geometries has been implemented.