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基于通感一体的空调智能调控技术

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随着 5G、Wi-Fi、物联网技术的持续发展,仅具备远程控制及云端场景算法能力的联网空调已难以满足用户对新一代智能空调的需求.感知家居环境及空间中人体活动状态,进而使空调为用户提供个性化控制的感知技术成为当前的研究热点.在通感一体技术驱动下,在满足空调通讯能力的 Wi-Fi 模组上同步利用射频信号实现对空间和人的感知具有重要意义.本研究设计了集 Wi-Fi 与雷达于一体的通感一体新模组,该模组通过信号处理、AI 抗干扰算法等技术实现对房间内人的存在性和距离的精准感知,并借助感知结果实现风避人吹、免唤醒交互、靠近推送、无人节能等智能化功能场景.基于通感一体的空调智能调控技术通过对环境、人体的感知和自动决策,赋予空调主动服务能力,显著提升了用户对空调的使用体验.
Intelligent air conditioning control technology based on communication and sensing integration
With the continuous development of 5G,Wi-Fi,and IoT technologies,networked air conditioners with only remote control and cloud-based scenario algorithms can no longer meet the user demand for a new generation of smart air conditioners.Sensing the home environment and the state of human activity in the space,so that the air conditioner to provide users with personalized control of the perception technology has become a current research hotspot.Driven by the integrated sensing technology,it is of great significance to synchronize the RF signal on the Wi-Fi module that meets the communication capability of the air conditioner to realize the sensing of space and human.In this study,a new module integrating Wi-Fi and radar is designed,which realizes accurate perception of the presence and distance of people in the room through signal processing,AI anti-interference algorithm and other technologies,and realizes intelligent function scenarios,such as wind avoiding blowing,no-wake interaction,proximity push,and unmanned energy-saving,through the results of the sensing.The air conditioner intelligent control technology based on the passive sensing of the integrated air conditioning through the perception of the environment,the human body and automatic decision-making,giving the air conditioner active service capabilities,significantly improving the user experience of the air conditioner.

Intelligent air conditioningPerceptionSynaesthesiaRadarSignal processing

李伟、贾奇伟、陈栋、王博鹏、劳春峰、宋玉军

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青岛海尔空调器有限总公司 山东 青岛 266101

数字家庭网络国家工程研究中心 266101

智能空调 感知 通感一体 雷达 信号处理

2024

家电科技
中国家用电器研究院

家电科技

影响因子:0.086
ISSN:1672-0172
年,卷(期):2024.(z1)