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Detecting district heating leaks in thermal imagery: Comparison of anomaly detection methods
Automation in Construction ( IF 9.6 ) Pub Date : 2024-10-02 , DOI: 10.1016/j.autcon.2024.105709 Elena Vollmer, Julian Ruck, Rebekka Volk, Frank Schultmann
Automation in Construction ( IF 9.6 ) Pub Date : 2024-10-02 , DOI: 10.1016/j.autcon.2024.105709 Elena Vollmer, Julian Ruck, Rebekka Volk, Frank Schultmann
District heating systems offer means to transport heat to end-energy users through underground pipelines. When leakages occur, a lack of reliable monitoring makes pinpointing their locations a difficult and costly task for network operators. In recent years, aerial thermography has emerged as a means to find leakages as hot-spots, with several papers proposing image analysis algorithms for their detection. While all publications boast high performance metrics, the methods are constructed around very different datasets, making a true comparison impossible.
中文翻译:
检测热图像中的区域供热泄漏:异常检测方法的比较
区域供热系统提供了通过地下管道将热量输送到终端能源用户的方法。当发生泄漏时,缺乏可靠的监控使得精确定位其位置成为网络运营商的一项困难且昂贵的任务。近年来,航空热成像已成为一种将泄漏作为热点进行查找的方法,有几篇论文提出了用于检测泄漏的图像分析算法。虽然所有出版物都拥有高性能指标,但这些方法是围绕非常不同的数据集构建的,因此无法进行真正的比较。
更新日期:2024-10-02
中文翻译:
检测热图像中的区域供热泄漏:异常检测方法的比较
区域供热系统提供了通过地下管道将热量输送到终端能源用户的方法。当发生泄漏时,缺乏可靠的监控使得精确定位其位置成为网络运营商的一项困难且昂贵的任务。近年来,航空热成像已成为一种将泄漏作为热点进行查找的方法,有几篇论文提出了用于检测泄漏的图像分析算法。虽然所有出版物都拥有高性能指标,但这些方法是围绕非常不同的数据集构建的,因此无法进行真正的比较。