Name
Abstract | ||
|---|---|---|
In recent years, with the rapid development of economy and the acceleration of urbanization process, building energy consumption has become an urgent problem to be solved. Its total energy consumption shows a trend of sustained growth, and the growth rate is faster and faster, so the requirements of building energy efficiency detection technology are higher and higher. Aiming at the problems of time-consuming and difficult detection of traditional detection methods, this paper introduces infrared image processing technology and proposes an energy-saving detection method for buildings based on image processing. The air tightness and heat transfer coefficient are studied respectively. Firstly, the feasibility of infrared method to detect air tightness is theoretically analyzed, and the corresponding technical scheme and detection process are given. Secondly, the infrared image is grayed and filtered to eliminate the influence of thermal defect area on the calculation of heat transfer coefficient after eliminating interference noise. Finally, based on the one-dimensional steady heat transfer theory, the principle of quantitative detection of heat transfer coefficient in infrared image is given by studying the heat transfer process of the wall, and the related correction method is designed. The feasibility and superiority of this method are illustrated by an example. Therefore, this method has good application prospects in building energy-saving detection. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.jvcir.2019.02.032 | Journal of Visual Communication and Image Representation |
Keywords | Field | DocType |
Building energy efficiency,Image processing,Air tightness,Heat transfer coefficient | Computer vision,Thermal,Heat transfer,Image processing,Heat transfer coefficient,Electronic engineering,Building energy,Acceleration,Interference (wave propagation),Artificial intelligence,Energy consumption,Mathematics | Journal |
Volume | ISSN | Citations |
60 | 1047-3203 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Cai | 1 | 0 | 1.35 |
| Xiaodong Wen | 2 | 0 | 0.68 |
| Saisai Wang | 3 | 0 | 0.34 |
| Lijuan Wang | 4 | 3 | 6.45 |