@inproceedings{d59a193d5b92416ba7423f66c206ff26,
title = "Low-cost Refrigerator Frost Detection using Piezoelectric Sensors",
abstract = "Frost accumulation on refrigerator evaporator coils is a significant source of wasted energy. While automatic de-frosting is a standard feature on modern refrigerators, current commercial solutions use heuristics to determine the frequency of heating cycles, leading to a sub-optimal defrosting routine. The majority of previous defrosting research incorporates cameras or microwave technology to better inform defrost algorithms of frost accumulation, however, these methods are both financially and computationally expensive. In this paper, we propose a low-cost frost detection system using ultrasonic resonance of piezoelectric sensors. We addressed the financial and computational cost challenges by using low-cost sensors and basic circuit components to replace software complexity. Our frost detection system was evaluated extensively in a Samsung refrigerator, resulting in a frost detection accuracy of 99.7\%. We believe our solution can be further used for downstream refrigerator control cycle optimizations to achieve improved energy efficiency.",
keywords = "frost detection, piezoelectric, resonance, sensing",
author = "Zhijian Yang and Siddharth Rupavatharam and Alexis Burns and Daewon Lee and Richard Howard and Volkan Isler",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 59th Annual IEEE International Conference on Communications, ICC 2024 ; Conference date: 09-06-2024 Through 13-06-2024",
year = "2024",
doi = "10.1109/ICC51166.2024.10622735",
language = "English (US)",
series = "IEEE International Conference on Communications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3530--3535",
editor = "Matthew Valenti and David Reed and Melissa Torres",
booktitle = "ICC 2024 - IEEE International Conference on Communications",
address = "United States",
}