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| 人工智能技术在家用空调节能减排领域的应用 |
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邵俊强1, 郑雨霖1, 车铭江1, 师雅博1, 张晓波1, 尹志鑫1, 高能2, 柳张清1, 吴中越1, 徐象国1,3
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| (1.浙江大学制冷与低温研究所 浙江省制冷与低温技术重点实验室;2.浙大宁波理工学院;3.浙江大学平衡建筑研究中心) |
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| 摘要: |
| 家用空调的普及带来了能耗的快速增长，人工智能技术为家用空调节能减排的推进提供了强有力的工具。家用空调存在众多可能的节能减排路径，而人工智能技术更是种类繁多，目前业界尚未结合这两个方面进行系统化的梳理，本文尝试以家用空调节能减排的实现途径为脉络，在各个途径下，总结整理各种可用的人工智能技术，并对每种技术进行了简要介绍。由于大多数的人工智能技术均离不开数据的支持，因此本文在最后还介绍了通过联合仿真来高效获取训练数据的方法。 |
| 关键词: 家用空调 节能减排 人工智能 数据 |
| DOI： |
| Received:August 25, 2022Revised:October 25, 2022 |
| 基金项目:国家自然科学基金(51976181) |
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| Application of Artificial Intelligence in the Field of Energy Conservation and Emission Reduction in Residential Air Conditioners |
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Shao Junqiang1, Zheng Yulin1, Che Mingjiang1, Shi Yabo1, Zhang Xiaobo1, Yin Zhixin1, Gao Neng2, Liu Zhangqing1, Wu Zhongyue1, Xu Xiangguo1,3
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| (1.Institute of Refrigeration and Cryogenics, Key Laboratory of Refrigeration and Cryogenic Technology of Zhejiang Province, Zhejiang University;2.NingboTech University;3.Center for Balance Architecture, Zhejiang University) |
| Abstract: |
| The increase in the use of residential air conditioners in Chinese households has resulted in a rapid increase in energy consumption. The rapid development of artificial intelligence technology provides a powerful tool for advancement in this field. However, there are various potential energy conservation and emission reduction paths for residential air conditioners, in addition to a wide variety of artificial intelligence technologies, which have not yet been systematically defined by the industry in combination with these two aspects. This paper summarizes and classifies various available artificial intelligence technologies with respect to achieving energy conservation and emission reduction for residential air conditioners and provides brief descriptions of these technologies. Because most artificial intelligence technologies are inseparable from data support, this study also introduces a method of efficiently obtaining training data through joint simulation. |
| Key words: household air conditioner energy conservation and emission reduction artificial intelligence data |
