空调器智能除霜运行参数与性能分析数据集

数据来源于奥克斯实验室测试数据，以家用空调样机为对象，在可控环境舱内模拟安徽不同季节温湿度（-5℃~25℃、35%~60% RH）工况，采集压缩机运行、除霜触发及性能参数，占数据集总量的 60%；另外，在安徽省各个地区选取一部分家庭用户，安装智能监测模块采集真实使用场景下的空调除霜运行数据（含环境参数、设备状态、用户反馈），持续 3 个月，占数据集总量的 40%。所有数据记录在公司内部系统中，提取数据，经过规则处理后，形成数据集。

The dataset is sourced from test data collected by Aux Laboratory. The first subset, accounting for 60% of the total dataset, targets household air conditioner (AC) prototypes. In this test, temperature and humidity operating conditions corresponding to different seasons in Anhui Province (-5℃ to 25℃, 35% to 60% RH) were simulated in a controlled environmental chamber, and compressor operation, defrost trigger, and performance parameters were collected. Additionally, smart monitoring modules were installed on a selection of household AC units across various regions in Anhui Province to collect defrost operation data of the ACs under real-world usage scenarios, including environmental parameters, device status, and user feedback, over a 3-month period. This subset accounts for the remaining 40% of the total dataset. All raw data was initially recorded in the company's internal system. After data extraction and rule-based processing, the final dataset was constructed.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于空调器的智能除霜功能，结合实验室模拟测试和真实家庭用户场景的数据。实验室部分在可控环境舱中模拟安徽不同季节的温湿度条件（-5℃~25℃、35%~60% RH），采集压缩机运行、除霜触发及性能参数；真实场景部分通过安装智能监测模块，在安徽省家庭用户中持续3个月收集环境参数、设备状态和用户反馈。数据集经过规则处理，旨在分析除霜运行参数与性能，为优化空调智能除霜技术提供支持。