Asesment of state-of-the-art methods for bridge inspection: case study

• Autorzy: Wójcik B. , Żarski M.

Identyfikatory

DOI

10.24425/ace.2020.135225

Warianty tytułu

PL

Ocena najnowocześniejszych metod stosowanych do inspekcji mostów: studium przypadku

• Języki publikacji: EN

Abstrakty

EN

Despite the progress in digitization of civil engineering, the process of bridge inspection is still outdated. In most cases, its documentation consists of notes, sketches and photos. This results in significant data loss during structure maintenance and can even lead to critical failures. As a solution to this problem, many researchers see the use of modern technologies that are gaining popularity in civil engineering. Namely Building Information Modelling (BIM), 3D reconstruction and Artificial Intelligence (AI). However, despite their work, no particular solution was implemented. In this article, we evaluated the applicability of state-of-the-art methods based on a case study. We have considered each step starting from data acquisition and ending on BIM model enrichment. Additionally, the comparison of deep learning crack semantic segmentation algorithm with human inspector was performed. Authors believe that this kind of work is crucial for further advancements in the field of bridge maintenance.

PL

Pomimo postępu w cyfryzacji budownictwa, proces inspekcji mostów jest nadal przestarzały. W większości przypadków jego dokumentacja składa się z notatek, szkiców i zdjęć. Powoduje to znaczną utratę danych podczas fazy utrzymania konstrukcji, a nawet może prowadzić do awarii. Wielu badaczy jako rozwiązanie tego problemu upatruje w wykorzystaniu nowoczesnych technologii, które zyskują na popularności w inżynierii lądowej. Technologii takich jak modelowanie informacji o budynku (BIM), rekonstrukcja 3D i sztuczna inteligencja (AI). Jednak pomimo wykonanej do tej pory pracy nie zaimplementowano żadnego konkretnego rozwiązania. W tym artykule oceniliśmy przydatność tych najnowocześniejszych metod na podstawie studium przypadku. Rozważaliśmy każdy krok począwszy od pozyskania danych, a skończywszy na wzbogaceniu modelu BIM. Ponadto przeprowadzono porównanie algorytmu segmentacji semantycznej pęknięć w uczeniu głębokim z ludzkim inspektorem. Uważamy, że tego rodzaju prace są kluczowe dla dalszych postępów w utrzymaniu mostów.

Słowa kluczowe

EN

building information modelling; 3D reconstruction; photogrammetry; artificial intelligence; bridge; inspection; surface inspection

PL

modelowanie informacji o budowli; rekonstrukcja 3D; fotogrametria; sztuczna inteligencja; inspekcja; most; inspekcja powierzchni

• Wydawca: Komitet Inżynierii Lądowej i Wodnej PAN ; Politechnika Warszawska, Wydział Inżynierii Lądowej
• Czasopismo: Archives of Civil Engineering
• Rocznik: 2020
• Tom: Vol. 66, nr 4
• Strony: 343--362
• Opis fizyczny: Bibliogr. 40 poz., il., tab.

Twórcy

autor

Wójcik B.

• Silesian University of Technology, Faculty of Civil Engineering, Gliwice, Poland
• Chung-Ang University, School of Architecture and Building Science, Seoul, Republic of Korea

autor

Żarski M.

• Silesian University of Technology, Faculty of Civil Engineering, Gliwice, Poland
• Chung-Ang University, School of Architecture and Building Science, Seoul, Republic of Korea

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