Aerial Thermography - A Tool For Detecting Heat Losses And Defective Insulation In Building Attics And District Heating Networks

Abstract

Lack of reliable operational methods makes it difficult for potential users to benefit from infrared survey systems which are already well tested technically. In order to develop operational routines for the use of thermography for building and district heating network applications, airborne, mobile and handheld infrared systems have been tested in two different investigation areas. Provided that perturbing factors were taken into consideration and surveys were made during stable weather conditions, with low windspeed, the infrared system tested was found to have good accuracy and low operational cost. An aircraft equipped with an infrared line scanner (8 -14 pm) seems to be the best system for surveying larger areas, while helicopter and mobile thermovision systems (8 -14 pm), are preferable for smaller investigation areas. The best way to analyze thermograms seems to be with an interactive computer -based image analysis systems.

Methods for Large-Scale Monitoring of District Heating Systems Using Airborne Thermography

“…This work presents methods for large-scale monitoring of district heating systems by means of remote sensing from an aircraft using a thermal camera [4], [5], [6]. Such airborne or aerial thermography has found many applications in which the ground temperature is of interest, e.g., search and rescue operations, fire fighting, mining and geophysical applications [7], [8], studies of urban heat islands [9] and inspection of building insulation and rooftop conditions [10].…”

Enhanced analysis of thermographic images for monitoring of district heat pipe networks

“…Methods for large-scale monitoring by aerial thermography, that is remote sensing from an aircraft using a thermal camera, was investigated already in the 80's by Ljungberg (1987) and Axelsson (1988). The results are somewhat antiquated due to the drastic development of thermal cameras during the last two decades.…”

UAV image analysis for leakage detection in district heating systems using machine learning

“…Particularly, energy leakage detection using a hand-held device was presented by Bøhm (Bøhm and Borgstrøm, 1996). The results presented in (Ljungberg and Rosengren, 1987;Axelsson, 1988;Bøhm and Borgstrøm) are outdated today due to rapid improvement of IR cameras in the past decades.…”