基于关联规则的热泵洗碗机干燥过程特性研究

Research on Characteristics of Drying Process of Heat Pump Dishwashers Based on Association Rules

本文探讨热泵洗碗机干燥过程性能参数变化规律,建立“数据预处理-关联规则挖掘-知识解释”的无监督类数据挖掘框架,研究节能运行策略,以达到降低洗碗机干燥过程耗电量的目标。利用Apriori算法对整体事项集进行挖掘,得到制冷剂充注量、环境温度、供风方式3个关键因素,并基于此进一步挖掘出以上因素对整体干燥性能的影响规律。研究结果表明:热泵系统提供充足的热量是保证系统干燥性能的前提,但过多的制热量并不能有效提升干燥性能,供风方式才是洗碗机干燥性能提升的关键因素,上下交替供风能够取得最好的干燥效果,因此在满足洗碗机干燥所需最小制热量的前提下,可通过适当调整供风方式等因素提升系统能效,实现系统节能运行。

How the performance of the heat pump dishwasher in drying process is changed under different parameters is explored in the study.An unsupervised data mining framework of“data pre-processing-association rule mining-knowledge interpretation”is established to study the energy-saving operation strategy and achieve the goal of reducing the power consumption in the drying process of the dishwasher.The Apriori algorithm is used to mine the overall set of items to obtain three key factors,namely refrigerant charge,ambient temperature,and air supply method,and the influence of these factors on the overall drying performance is further investigated.The research results show that the heat pump system provides sufficient heat to ensure the drying performance of the system,but too much heat cannot effectively improve the drying performance.The air supply method is the key factor in improving the drying performance of the dishwasher,and alternating the upper and lower air supply can achieve the best drying effect.Therefore,to meet the minimum heating capacity requirement of dishwasher drying,the system’s energy efficiency can be improved by adjusting the air supply method and other factors to achieve energy-saving operation.