Data-driven detection method of refrigerator door-ajar events
SHANG Jing
JIANG Wan
LI Tiantian
LI Yuntao
WANG Yuanshen
Abstract：In view of the increasing demand for real-time monitoring of the closed state of the smart refrigerator door,and the traditional door magnetic or mechanical switch has some problems,such as complex assembly,easy failure of low-temperature condensation and high cost,etc.,a door ajar detection method based on refrigerator operation big data is proposed.This method does not need to add new hardware,but uses a big data platform to build an off-line abnormal database with compressor status bit,evaporator temperature,refrigeration temperature,freezing room temperature,defrosting cycle and other related multi-source operation data as inputs,which provides a low-cost and landing detection solution for intelligent operation and maintenance of refrigerators.
Keywords：RefrigeratorDoor not closed tightlyBig dataOperation dataAnomaly detection
Publication Date：2025-12-09
Online Publishing Date：2026-01-06(First online date of this platform, not the publication date of the document)
Pages：7( 127-133 )