Utilization of Contrast-to-Noise Ratio to Assess the Severity of Air Infiltration Anomalies in Northern Buildings with a Low-Cost IR Camera
摘要
The Canadian Arctic challenges impact the quality of northern buildings, limiting residents’ thermal comfort and health. To provide an affordable and effective tool to Indigenous communities in northern Canada, an affordable IR camera operated through a smartphone is being tested on northern buildings for the detection of air infiltration through doors, windows, and wall junctions. Also, the Contrast-to-Noise Ratio (CNR) method is used to obtain a priority list for renovation and investigation based on each air infiltration detected. CNR results from the affordable IR camera are compared with those from a professional IR camera, as well as with the minimum temperature and thermal index of each thermal capture. The results show that the low-cost IR camera can detect air infiltration, but gives blurred thermal images, limiting the identification of air infiltration which can be confused with mold or thermal bridges. CNR method procedure needs to be reviewed for air infiltration through windows. For thermal anomalies taken at different periods of the year, CNR values need to be normalized according to the outside and inside temperature to obtain a relevant priority list.