家电科技 ›› 2019, Vol. 0 ›› Issue (3): 64-69.doi: 10.19784/j.cnki.issn1672-0172.2019.01.008

• 论文 • 上一篇    下一篇

关于储水式电热水器剩余洗浴时间预估方法研究

王爽1, 盛保敬1, 陈小雷1, 陈圆圆1, 鄢志丹2, 陈果2   

  1. 1.青岛经济技术开发区海尔热水器有限公司 山东青岛 266100;
    2.中国石油大学(华东)信息与控制工程学院 山东青岛 266580
  • 出版日期:2019-06-01 发布日期:2019-07-03

Study on prediction method of remaining bath time of water storage electric water heater

WANG Shuang1, SHENG Baojing1, CHEN Xiaolei1, CHEN Yuanyuan1, YAN Zhidan2, CHEN Guo2   

  1. 1. Qingdao Economic and Technological Development Zone Haier water heater Co., Ltd. Qingdao 266100;
    2. School of information and control engineering, China University of Petroleum (Hua Dong) Qingdao 266580
  • Online:2019-06-01 Published:2019-07-03

摘要: 本文依据储水式电热水器不同使用状态的大量实验数据,采用神经网络方法推算储水式电热水器初始剩余可用等效洗浴水量和等效洗浴水量增加速率,通过在线计算等效洗浴水量用水速率迭代更新剩余可用等效洗浴水量,并将剩余可用等效洗浴水量与等效洗浴水量用水速率和等效洗浴水量增加速率之差的商作为剩余洗浴时间的预估值。

关键词: 剩余可用等效洗浴水量, 剩余洗浴时间, 预估方法, 神经网络, 储水式电热水器

Abstract: Based on a large number of experimental data of different operating states of water storage electric water heater, the paper calculates the initial remaining available equivalent bath water and the increasing rate of equivalents bath water by using neural network method, and iteratively updates the remaining available equivalent bath water by calculating the online equivalent bath water consumption rate. The remaining bathing time can be estimated by the quotient of the difference between the equivalent bathing water volume and the equivalent bathing water consumption rate and the increase rate of the equivalent bathing water volume.

Key words: Remaining available equivalent bath water volume, Remaining bath time, Prediction method, Neural network, Water storage electric water heater