Analysis On Detection Methods Of Building Energy Efficiency Based On Infrared Image Processing Technology

Increasingly reduced energy reserves has become an urgent issue, while our country’s building energy consumption accounts for the proportion of the total energy consumption is becoming higher and higher as the developing economy and accelerating urbanization. Building energy efficiency, as one of numbers of countermeasures, has been put forward and implemented to relieve energy issues. Thus, it’s an indispensable part to detect a number of indicators and assess whether they meet the requirements of building energy efficiency before building delivery.To summarize practical experience, industry standards have been set in residential building energy efficiency detection. While some deficiencies still exist in existing building energy efficiency detecting technology:inability to detect a wide range of targets quickly; tedious operation process and long cycle detection, damage to buildings for test, quantitative analysis unavailable for thermal defects, etc. According to those problems, this paper analyzes on building energy efficiency detection based on infrared image processing technology, and the main contents are as follows:1、Analysis on methods of the analyte building thermography image acquisition. Building energy efficiency detection system aims to processing the infrared image of target building wall, so it’s important to acquire infrared thermography from target buildings accurately and effectively.2、Design and implementation of a heat transfer coefficient detection algorithm based on infrared image processing. The algorithm is divided into two stages:on-site detection,then do infrared image processing and analysis. In the first stage, using in-situ calibration method to calculate building wall surface emissivity and ambient radiation energy, then assessment of atmospheric attenuation rate and steady state of wall thermal conductivity. In the second stage, enhancing the infrared thermography to eliminate interference noise, and excluding thermal defects area which will effect on heat transfer coefficient, then calculating the heat transfer coefficient. 3、Analysis on wall hollow detection and leakage defects detection. For wall hollow detection, this paper use filtering to eliminate the interference of temperature gradient, then enhance the image, extract connected domain based on the contour, finally, quantitative detection to clear hollow number and location. The steps of leakage defects detection in this paper are as follows:firstly, using filtering to eliminate interference noise; secondly, modify temperature range; then extract connected domain based on the contour to acquire suspected leaking area; finally, leakage quantitative detection.In leakage quantitative detection, this paper discusses using morphological and the temperature gradient to determine the quantitative leakage sources. While further discuss is deeded.4、Develop building energy efficiency testing system using Java language, and implementation of heat transfer coefficient detection and wall thermal defects detection based on infrared image processing technology; According to the study, in this paper, the corresponding experiment is designed to test the accuracy and reliability of the system, and the result proves that the system’s applicability is well.