家电科技 ›› 2021, Vol. 0 ›› Issue (zk): 542-546.doi: 10.19784/j.cnki.issn1672-0172.2021.99.129

• 第七部分 标准分析与检测 • 上一篇    下一篇

基于神经网络技术正确预测电饭锅的热效率

李继超1, 雷向华2, 孙轩3   

  1. 1.中家院(北京)检测认证有限公司 北京 100176;
    2.聚束科技(北京)有限公司 北京 100176;
    3.中国家用电器研究院 北京 100037
  • 发布日期:2021-12-22
  • 作者简介:李继超,学士。研究方向:控制科学与工程、家电检测。地址:北京经济技术开发区博兴八路3号。E-mail:lijc@cheari.com。

Correct prediction of heat efficiency for the electric rice cookers based on artificial neural network

LI Jichao1, LEI Xianghua2, SUN Xuan3   

  1. 1. CHEARI (Beijing) Certification & Testing Co., Ltd. Beijing 100176;
    2. Focus e-Beam Technology (Beijing) Co., Ltd. Beijing 100176;
    3. China Household Electric Appliances Research Institute Beijing 100037
  • Published:2021-12-22

摘要: 电饭锅热效率是指电饭锅产生热能与消耗电能的比值,热效率越高,产品越节能。该项指标也是电饭锅产品能效等级的核心指标。本文旨在利用神经网络技术预测电饭锅热效率值,从而摆脱人为引入的用于提高IH电饭锅的热效率值的修正系数λ。通过对神经网络线性回归算法和非线性回归算法的比较,确定了非线性算法是预测电饭锅热效率的正确方法。

关键词: 热效率, IH电饭锅, 修正系数, 神经网络, 线性回归

Abstract: The heat efficiency for electric rice cookers refers to the ratio of thermal energy produced and electric energy consumed. High efficiency means low energy consumption. In recent years, as the industry develops, the heating method of electric household appliances has been further upgraded. The induction heating rice cooker has the characteristics of uniform heating and good rice taste, which has become an inevitable trend of the development of the rice cooker industry. However, its lower heating efficiency will inevitably affect its development. Therefore, in the standard formulation process, the correction coefficient λ was introduced to increase the heating efficiency value of the IH rice cooker. By comparing the neural network linear regression algorithm and the nonlinear regression algorithm to determine a correct method to predict the heat efficiency for the electric rice cookers.

Key words: Heat efficiency, IH rice cooker, Correction coefficient, Neural network, Linear regression

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