家电科技 ›› 2022, Vol. 0 ›› Issue (zk): 679-681.doi: 10.19784/j.cnki.issn1672-0172.2022.99.151

• 第五部分 健康适老与智能 • 上一篇    下一篇

基于知识图谱的智慧热水器节能低碳运行技术研究及应用

薛祥玉, 管江勇, 曹冠忠, 王长刚   

  1. 青岛经济技术开发区海尔热水器有限公司 山东青岛 266101
  • 发布日期:2023-03-28
  • 作者简介:薛祥玉,男,学士学位。研究方向:智能热水器低碳技术应用。地址:青岛市崂山区海尔路1号海尔工业园平板大楼三楼。E-mail:xuexiangyu@haier.com。

Research and application of energy-saving and low-carbon operation technology of smart water heater based on knowledge graph

XUE Xiangyu, GUANG Jiangyong, CAO Guanzhong, WANG Changgang   

  1. Qingdao Economic & Technology Development Zone Haier Water Heater Co., Ltd. Qingdao 266101
  • Published:2023-03-28

摘要: 随着社会经济飞速发展与人民生活水平的提高,热水器已经成为大众生活的必需品,当前保有量超过3.5亿台。热水器在家庭中属于能耗较大的家电,如何降低能耗、减少碳排放是智家热水器面临的技术课题。简单的智能控制,并不能给行业带来新的发展机遇。与AI技术融合,将知识图谱能力与机器自学习结合,搭建一套基于知识图谱的,拥有自学习能力的控制系统,在满足用户用水需求的同时,实现依据季节、地域、用水健康数据、峰谷电数据,自动调节设备运行模式,使智能热水器始终自动运行在最佳的节能模式下。国家电网数据提供不同地区峰谷电数据,知识图谱完善了自学习算法的变量因素,AI技术提升了设备的用户交互体验。控制系统与算法结合,实现了低碳技术在智慧热水器上的应用,给家电行业的绿色发展提供了一个新的方向和增长动力。

关键词: 知识图谱, 习惯学习, 碳中和, 热水器

Abstract: With the rapid development of the social economy and the improvement of people's living standards, water heaters have become a necessity for public life, and the current number of water heaters exceeds 350 million. Water heaters are household appliances with high energy consumption. How to reduce energy consumption and reduce carbon emissions is a technical issue faced by smart home water heaters. Simple intelligent control cannot bring new development opportunities to the industry. Integrate with AI technology, combine knowledge graph capabilities with machine self-learning, and build a control system based on knowledge graphs with self-learning capabilities. Electricity data, automatically adjust the operation mode of the equipment, so that the intelligent water heater always automatically runs in the best energy-saving mode. The State Grid data provides peak and valley electricity data in different regions, the knowledge map improves the variable factors of the self-learning algorithm, and the AI technology improves the user interaction experience of the device. The combination of the control system and the algorithm realizes the application of low-carbon technology in smart water heaters, providing a new direction and growth momentum for the green development of the household appliance industry.

Key words: Knowledge graph, Habit learning, Carbon neutrality, Water heaters

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