Profile scanning (PLS) for the monitoring of infrastructure structures (PLSmoN)

Topic: STEM impulses
Type of funding: Individual funding programmes
Programme: CZS research boost
Funded institution:
  • Hochschule Mainz

Prof. Dr. Florian Schill, Professor of Engineering Surveying at Mainz University of Applied Sciences, wants to use profile scanning (PLS) to monitor infrastructures efficiently and without contact and to collect information for the maintenance of existing traffic infrastructures.

Goals

The transport infrastructure in Germany is outdated. Its condition is deteriorating due to the increasing volume of traffic. A lack of capacity and financial resources make it difficult to build new roads, which would also have a negative impact on the carbon footprint. Maintenance management of the existing infrastructure is therefore becoming increasingly important. This requires up-to-date information on the condition of the structures. In his "PLSmoN" project, Prof. Dr. Florian Schill therefore wants to use profile scanning (PLS) as a solution to monitor the supporting structure efficiently and without contact and to carry out measurements in previously inaccessible places. In order to make the resulting data volumes usable in practice, intelligent and, in particular, adaptive evaluation processes are required that enable automated evaluation. A prototypical spatio-temporal evaluation concept has already been developed for this purpose. This should enable the entire relevant measurement information to be automatically extracted from the measurements. PLSmoN" should provide a better understanding of the condition of the traffic infrastructure in the future. As a result, maintenance management can be planned more efficiently and in a condition-oriented manner.

Involved persons:

Matthias Stolzenburg

Program Manager, Legal Affairs

Phone: +49 (0)711 - 162213 - 13

E-mail: matthias.stolzenburg@carl-zeiss-stiftung.de

Prof. Dr. Florian Schill

Hochschule Mainz

Detailed information:

Topic: STEM impulses
Programme: CZS research boost
Type of funding: Individual funding programmes
Target group: Professors
Funding budget: 150.000 €
Period of time: August 2024 - Juli 2026

Funded institution:

Hochschule Mainz
Hochschule Mainz