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Iron structures of industrial culture – Sensor-supported and data-driven AI system for structural health monitoring of large industrial and cultural heritage objectsResearch project SPP 2255: Cultural Heritage Construction

Economic expansion in the second half of the 19th century led to the emergence of the Ruhr region as Europe's largest conurbation. Industrial coal mining and steel production shaped everyday life throughout the region. However, the former industrial facilities, such as the Zollverein Coal Mine Industrial Complex in Essen, which is now a UNESCO World Heritage Site at the end of its working life, were never intended to exist permanently. In order to preserve them, special measures are required, as well as effective methods of condition monitoring and targeted maintenance.

The SPP 2255 project aims to develop sensor-based, data-driven condition monitoring using artificial intelligence (AI). By combining AI-based semantic segmentation and metrological damage characterisation, targeted structural health monitoring (SHM) of the industrial plant is achieved. This enables a proactive assessment of conservation strategies for cultural heritage. The basis for systematic damage characterisation is digital detection and automatic assessment of the damage condition. Although the focus here is on iron-based materials, the derived implementation regulations are material-independent and aim at the diversity of high modernist objects and their preservation.

Project duration: 2024 to 2026

Responsible scientists: Nick Donner and Prof. Dr. Michael Prange (THGA)

Funding by: 

Project goals

  • Damage mapping and object characterisation of large industrial heritage objects.
  • Measurement of corrosion and other damage, mainly using drone technology.
  • Reproduction of various damage patterns on a laboratory scale.
  • Based on this, testing of suitable methods for automated detection of corrosion and damage (algorithms, machine learning, AI).
  • Verification of the methods on test areas applied to the objects, with additional testing of transparent protective coatings
  • Science communication, citizen science

Licence notice: CC BY-NC-SA 4.0

Contact

Prof. Dr. rer. nat. Michael Prange Mechanical Engineering and Material Sciences

E-Mail
Michael.Prange@thga.de
Telephone
+49 234 968-3381
Office
G3 R102
To the profile

Nick Donner

E-Mail
Nick.Donner@thga.de
Telephone
+49 234 968-3316
Office
G5 R303