Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Konzept zur digitalen wissensbasierten Beurteilung von Schäden durch holzzerstörende Insekten an Bauwerken
This work presents a concept for the digital, knowledge-based assessment of damage caused by wood-destroying insects in wooden structures. The aim of the work is to support experts in the field of wood protection in the collection, description, and data-driven analysis of damage to enable improved damage diagnosis and subsequent treatment. The motivation for this work is driven by the challenges in the construction industry, shaped by climate protection goals and the demand for circular building materials. Furthermore, demographic changes lead to the loss of valuable knowledge about building stock, construction methods, building vulnerabilities, and hazards such as pollutant exposure. The concept aims to contribute to closing these knowledge gaps and enabling a more holistic, open, and individual assessment of damage to wooden structures. The concept is based on methodical knowledge modeling using ontologies and rule-based inference methods to support damage classification. It allows the expert to under-stand and validate machine-assisted processes. Uncertain knowledge, such as the activity status of wood-destroying insects, is implemented in the concept using digital methods. The validation of the concept was carried out through application examples and expert interviews. The results show promising possibilities for appropriately diagnosing damage and deriving treatment recommendations. The qualitative content analysis of the expert interviews proves the relevance of knowledge-based decision support and provides valuable insights for the use of the concept. The scientific work presented illustrates how modeled human- and machine-readable knowledge can enable better decisions in the field of wood preservation.
Konzept zur digitalen wissensbasierten Beurteilung von Schäden durch holzzerstörende Insekten an Bauwerken
This work presents a concept for the digital, knowledge-based assessment of damage caused by wood-destroying insects in wooden structures. The aim of the work is to support experts in the field of wood protection in the collection, description, and data-driven analysis of damage to enable improved damage diagnosis and subsequent treatment. The motivation for this work is driven by the challenges in the construction industry, shaped by climate protection goals and the demand for circular building materials. Furthermore, demographic changes lead to the loss of valuable knowledge about building stock, construction methods, building vulnerabilities, and hazards such as pollutant exposure. The concept aims to contribute to closing these knowledge gaps and enabling a more holistic, open, and individual assessment of damage to wooden structures. The concept is based on methodical knowledge modeling using ontologies and rule-based inference methods to support damage classification. It allows the expert to under-stand and validate machine-assisted processes. Uncertain knowledge, such as the activity status of wood-destroying insects, is implemented in the concept using digital methods. The validation of the concept was carried out through application examples and expert interviews. The results show promising possibilities for appropriately diagnosing damage and deriving treatment recommendations. The qualitative content analysis of the expert interviews proves the relevance of knowledge-based decision support and provides valuable insights for the use of the concept. The scientific work presented illustrates how modeled human- and machine-readable knowledge can enable better decisions in the field of wood preservation.
Konzept zur digitalen wissensbasierten Beurteilung von Schäden durch holzzerstörende Insekten an Bauwerken
Kreyenschmidt, Christian (Autor:in) / Beetz, Jakob / Hollermann, Sebastian
01.01.2024
Aachen : RWTH Aachen University 1 Online-Ressource : Illustrationen (2024). doi:10.18154/RWTH-2024-05815 = Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2024
Hochschulschrift
Elektronische Ressource
Deutsch
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