Kızıl Ötesi Görüntülerden Binalardaki Isı Köprüsünün Belirlenmesi

Yıl 2024, , 887 - 920, 25.07.2024

Önder Halis Bettemir

https://doi.org/10.2339/politeknik.1144858

Öz

İnşaat sürecinde ısı yalıtımı imalatının kalitesi denetlenmediği için Türkiye’deki mevcut binaların büyük bir kısmının ısı yalıtım performansları bilinememektedir. Türkiye’deki yapı stoğunun büyüklüğü göz önüne alındığında binalardaki ısı yalıtım değerlerinin sıvanın kazınıp ısı yalıtım malzemesinin incelenmesi ile belirlenmesi uygulanabilir bir çözüm değildir. Bu çalışmada binalardaki ısı köprülerini binaların termal görüntülerini işleyerek belirleyen bir yöntem önerilmiştir. Yöntem termal görüntünün analiz edilerek yapı elemanlarının ısı kaybı var ve yok olarak sınıflandırılması ve termal görüntünün benirizasyonuna dayanmaktadır. Benirizasyon için adaptif yerel eşikleme ile küresel eşikleme yöntemleri uygulanmıştır. Uygulanan yöntemler sınıflandırma için bir eşik değerine ihtiyaç duymaktadır. Tüm görüntüler için geçerli bir eşik değeri belirlemek mümkün olmadığı için Otsu algoritması ile eşik değeri belirlenmiştir. Eşik belirleme işlemi termal görüntü üzerinde ve termal görüntüden elde edilen kenar görüntüleri üzerinde uygulanmıştır. Elde edilen eşik değerleri termal görüntü ve kenar görüntüleri üzerinde uygulanmıştır. Literatürden derlenen kenar belirleme algoritmaları beş adet termal görüntü incelenerek karşılaştırılmış ve Modifiye II Frei-Chen ve ikinci derece Laplace operatörü ile daha doğru sonuçlar elde edilmiştir. Önerilen yöntemin uygulanması ile mevut yapı stoğunun ısı yalıtım özelliğinin hızlı, ekonomik ve güvenilir biçimde tespit edilebileceği vaka çalışmaları sonucunda belirlenmiştir.

Anahtar Kelimeler

Kenar belirleme, benirizasyon, otsu algoritması, Edge detection, binarization, otsu algorithm

Destekleyen Kurum

İnönü Üniversitesi Bilimsel Araştırma Projeleri Koordinatörlüğü

Proje Numarası

FBA-2018-1051

Determination of Thermal Bridge of the Buildings from Infrared Images

Öz

Vast majority of the existing buildings in Türkiye are not inspected for thermal insulation quality during the construction process therefore, thermal insulation performance of the existing buildings cannot be known. Measuring the thermal insulation performance of the buildings by scraping the plaster and examining the heat insulation material is not a viable solution when the size of the building stock of Türkiye is considered. In this study, detection of thermal bridges of the buildings by processing the thermal images of the buildings is proposed. The method is based on the binarization of the thermal image by the classification of the building elements as heat loss element or no heat loss element by analyzing the thermal image of the building. Global threshold methods and adaptive local threshold methods applied for binarization. All of the implemented methods require a threshold value for the classification. Determining a valid threshold value for all images is not possible therefore the threshold value is determined by the Otsu algorithm. Threshold determination process is executed both on the thermal image and the edge image. Obtained threshold values are implemented on the thermal images and the edge images. Local edge detection algorithms derived from the literature are compared by examining five thermal images and the comparison revealed that the Modified II Frei-Chen and Second-order Laplace operator provided the most suitable result. The case studies revealed that the thermal insulation performance of the existing building stock can be determined quickly, economically and reliably by implementing the proposed method.

Anahtar Kelimeler

Edge detection, binarization, otsu algorithm

Proje Numarası

FBA-2018-1051

Kaynakça

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