Journals / Demiryolu Mühendisliği / 2024 / Sayı: 20

Use of Thermal Imaging Cameras to Identify Best Locations For Rail Temperature Monitoring Systems (RTMS): Development of Rapid Analysis Methods

Ray Sıcaklığı Takip Sistemleri (RSTS) için En Uygun Yerlerin Belirlenmesinde Termal Kameralardan Yararlanılması: Hızlı Analiz Metotları Geliştirilmesi

Ferhat Çeçen(SÜLEYMAN DEMİREL ÜNİVERSİTESİ)0000-0003-2100-8071
Bekir Aktaş(ERCİYES ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ)0000-0003-3072-7983
Pages
141–154
Publication Date
2024-07-31
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In this study, detailed measurements and analyses have been carried out on the subject and it has been found that it is more appropriate to take thermal images of the rail web, using the ambient air temperature value as the reflected temperature value in the analyses, and the average value of the rail web emission coefficient which is determined in the study can give results that are consistent with the actual rail temperature values.

📌 3 Key Takeaways

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Objective & Hypothesis:Global warming and climate change are having an increasing impact around the world.
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Key Findings & Data:The use of modern Rail Temperature Monitoring Systems (RTMS), which provide instantaneous/continuous data, has thus become a necessity for railways.
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Conclusion & Impact:In this study, detailed measurements and analyses have been carried out on the subject and it has been found that it is more appropriate to take thermal images of the rail web, using the ambient air temperature value as the reflected temperature value in the analyses, and the average value of the rail web emission coefficient which is determined in the study can give results that are consistent with the actual rail temperature values.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Ray sıcaklığı · Küresel ısınma · İklim değişikliği

Abstract

Global warming and climate change are having an increasing impact around the world. The use of modern Rail Temperature Monitoring Systems (RTMS), which provide instantaneous/continuous data, has thus become a necessity for railways. However, there is uncertainty about where these measuring and monitoring devices will be located on the hundreds of kilometers of railway lines. Thermal cameras are expected to be useful in this area. Yet, there is a lack of studies in the literature on how these cameras can be used for rail temperature measurement. In this study, detailed measurements and analyses have been carried out on the subject and it has been found that it is more appropriate to take thermal images of the rail web, using the ambient air temperature value as the reflected temperature value in the analyses, and the average value of the rail web emission coefficient which is determined in the study can give results that are consistent with the actual rail temperature values.

Özet

Küresel ısınma ve iklim değişikliği tüm dünyada etkisini artırmaktadır. Bu nedenle modern demiryollarında anlık/sürekli veri sağlayan ray sıcaklığı takip sistemlerinin (RSTS) kullanılması, artık bir gereklilik hâlini almıştır. Ancak söz konusu cihazların yüzlerce kilometrelik demiryolu hat kesimleri içerisinde nerelere konumlandırılacağı konusunda belirsizlikler söz konusudur. Termal kameraların bu alanda fayda sağlayabileceği öngörülmektedir. Bununla birlikte literatürde bu kameraların ray sıcaklığı ölçümünde hangi prosedürlerle kullanılabileceğine dair çalışmalar oldukça yetersizdir. Bu çalışmada konu hakkında detaylı ölçüm ve analizler gerçekleştirilmiş ve ray gövdesinden termal görüntü alınmasının daha uygun olduğu, analizlerinde yansıyan sıcaklık değeri olarak ortam hava sıcaklığı değerinin, ray gövdesi emisyon katsayısı olarak çalışma içerisinde belirlenen ortalama değerin kullanılmasının gerçek ray sıcaklığı değerleri ile örtüşen sonuçlar sağlayabildiği belirlenmiştir.

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Cite This Article

Çeçen, F., Aktaş, B. (2024). Use of Thermal Imaging Cameras to Identify Best Locations For Rail Temperature Monitoring Systems (RTMS): Development of Rapid Analysis Methods. Demiryolu Mühendisliği, Sayı: 20, 141–154. https://doi.org/10.47072/demiryolu.1474099

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