NetFlinCS

Context-based Detection and Surveillance of Construction Sites using Hybrid Cloud Technologies

Context-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.

Project team

Projektleitung

Prof. Dr. Yvonne Jung Acceptance of a call to UAS Darmstadt

Media IT and Computer Graphics

Projektleitung

Prof. Dr. Sebastian Rieger Programme Director Applied Computer Science (B.Sc.)

Multimedia Communication Networks

Staff & Auxiliaries

Projektmitabeiter

Marcel Klomann

Marcel Klomann Former employee

Reasearch Associate, Research project Flin, NetFlinCS

Projektmitarbeiter

Michael Englert

Michael Englert Ehemaliger Mitarbeiter

Wissenschaftlicher Mitarbeiter, Forschungsprojekt NetFlinCS

Kontakt

Prof. Dr. Yvonne Jung Acceptance of a call to UAS Darmstadt

Media IT and Computer Graphics

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