Longitudinal Energy Waste Detection with Visualization

被引:2
作者
Lachut, David [1 ]
Pathak, Nilavra [1 ]
Banerjee, Nilanjan [1 ]
Roy, Nirmalya [1 ]
Robucci, Ryan [1 ]
机构
[1] Univ Maryland Baltimore Cty, Comp Sci, Informat Syst, Comp Engn, Baltimore, MD 21228 USA
来源
BUILDSYS'17: PROCEEDINGS OF THE 4TH ACM INTERNATIONAL CONFERENCE ON SYSTEMS FOR ENERGY-EFFICIENT BUILT ENVIRONMENTS | 2017年
基金
美国国家科学基金会;
关键词
Infrared Imaging; Waste Detection; Air Leakage;
D O I
10.1145/3137133.3137162
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Leaky windows and doors, open refrigerators, unattended appliances, left-on lights, and other sources subtly leak energy accounting for a large portion of waste. Formal energy audits are expensive and time consuming and do not capture many sources of leakage and waste. In this short paper, we present a hybrid IR/RGB imaging system for an end-user to deploy to perform longitudinal detection of energy waste. The system uses a low resolution, 16x4 IR camera and a low cost digital camera mounted on a steerable platform to automatically scan a room, periodically taking low resolution IR and RGB images. The system uses image stitching to create an IR/RGB hybrid panoramic image and segmentation to determine temperature extrema in the scanned room. Finally, this data is combined with thermostat set-point information to highlight hot-spots or cold-spots which likely indicate energy leakage or wastage. The system obviates the need for expensive, time-consuming waste detection methods, for professional setup, and for more intrusive instrumentation of the home.
引用
收藏
页数:4
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