NetFlinCS
: Context-based Detection and Surveillance of Construction Sites using Hybrid Cloud TechnologiesContext-based Detection and Surveillance of Construction Sites using Hybrid Cloud Technologies
Subsequent breakthroughs, modified pipe routing: Difficulties regularly arise in construction projects due to incorrect planning or subsequent changes. This requires prompt communication between the responsible site managers, architects and builders. Despite the documentation of the construction progress, current errors or deviations are often only discovered when problems arise from them later - as for example at Berlin Airport. One reason for this is that documentation is usually only done through an accumulation of plans and pictures, linked to the date on which they were taken. Construction monitoring is also often done manually and in the form of building inspections.
The aim of the NetFlinCS project is therefore to provide IT tools based on mixed reality technologies for error detection and optimisation of construction projects, starting with architectural planning, through the actual construction phase and furnishing planning, to the later maintenance and refurbishment of the building. This is to be made possible by a collaborative and context-based recognition of the real world based on mobile devices as well as hybrid load distribution, which is based on web standards.
For this purpose, an iterative indoor tracking procedure with reflux of the real data recorded during the tracking process into the original building data model will first be developed within the scope of this project. The consistent use and expansion of BIM-related standards, in particular with regard to the feedback of changes made during tracking and 3D reconstruction, should guarantee a uniform database.
In addition, automated processing of the successively expanded or corrected 3D building data will be made possible by means of a "smart picture rubber" approach as part of the mixed reality-supported application. Finally, the load distribution of the calculations necessary for camera tracking and 3D reconstruction, which are too complex for mobile devices, is implemented in a terminal-transparent manner using hybrid cloud load balancing. The result of the project is IT tools that significantly simplify the documentation and monitoring of construction and maintenance phases.
Cooperation partner
| innovation mecom GmbH, Fulda |
| Fraunhofer Institute for Computer Graphics (IGD), Darmstadt |
| Working group of Prof. Dr. Krömker, Wolfgang Goethe University |
Keywords:
iterative indoor tracking, hybrid cloud-based load balancing, real world data cleaning/correction, Building Information Modelling (BIM).
Funding:
FHprofUnt
Project duration:
1.11.2016 - 31.10.2019




