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Method and system for controlling aluminum alloy doors and windows of smart home
The invention relates to the technical field of smart home, and particularly discloses a smart home aluminum alloy door and window control method and system, and the method comprises the steps: collecting the position sensing information of an aluminum alloy door and window through a position sensing module, and collecting a real-time meteorological data set through a meteorological data collection module; a data analysis and processing algorithm based on deep learning is adopted to carry out embedded coding on position sensing information and carry out time sequence correlation analysis on meteorological data; modulation decoding is carried out based on time sequence characteristics of wind speed, wind direction and position sensing information so as to obtain wind load and air temperature of the aluminum alloy door and window; whether the aluminum alloy door and window is closed or not is automatically judged by comparing a risk factor between rainfall estimation decoding values obtained by decoding and estimating the time sequence characteristics of the air pressure and the rainfall with a preset threshold value. Therefore, meteorological conditions can be monitored in real time, the trend and the association mode of meteorological data can be learned, and future changes can be predicted, so that a more accurate decision can be made in advance.
本申请涉及智能家居技术领域,其具体地公开了一种智能家居的铝合金门窗控制方法及系统,其通过位置感测模块采集铝合金门窗的位置感测信息,且利用气象数据采集模块采集实时气象数据集,并采用基于深度学习的数据分析和处理算法来对位置感测信息进行嵌入编码,对气象数据进行时序关联分析,以此基于风速、风向和位置感测信息的时序特征进行调制解码得到的铝合金门窗的风载荷与气温、气压和降雨量的时序特征进行解码估计得到的降雨量估计解码值之间的危险因子与预设阈值之间的比较来自动地判断是否关闭所述铝合金门窗。这样,能够实时监测气象条件,并学习气象数据的趋势和关联模式,预测未来的变化,从而提前做出更加准确的决策。
Method and system for controlling aluminum alloy doors and windows of smart home
The invention relates to the technical field of smart home, and particularly discloses a smart home aluminum alloy door and window control method and system, and the method comprises the steps: collecting the position sensing information of an aluminum alloy door and window through a position sensing module, and collecting a real-time meteorological data set through a meteorological data collection module; a data analysis and processing algorithm based on deep learning is adopted to carry out embedded coding on position sensing information and carry out time sequence correlation analysis on meteorological data; modulation decoding is carried out based on time sequence characteristics of wind speed, wind direction and position sensing information so as to obtain wind load and air temperature of the aluminum alloy door and window; whether the aluminum alloy door and window is closed or not is automatically judged by comparing a risk factor between rainfall estimation decoding values obtained by decoding and estimating the time sequence characteristics of the air pressure and the rainfall with a preset threshold value. Therefore, meteorological conditions can be monitored in real time, the trend and the association mode of meteorological data can be learned, and future changes can be predicted, so that a more accurate decision can be made in advance.
本申请涉及智能家居技术领域,其具体地公开了一种智能家居的铝合金门窗控制方法及系统,其通过位置感测模块采集铝合金门窗的位置感测信息,且利用气象数据采集模块采集实时气象数据集,并采用基于深度学习的数据分析和处理算法来对位置感测信息进行嵌入编码,对气象数据进行时序关联分析,以此基于风速、风向和位置感测信息的时序特征进行调制解码得到的铝合金门窗的风载荷与气温、气压和降雨量的时序特征进行解码估计得到的降雨量估计解码值之间的危险因子与预设阈值之间的比较来自动地判断是否关闭所述铝合金门窗。这样,能够实时监测气象条件,并学习气象数据的趋势和关联模式,预测未来的变化,从而提前做出更加准确的决策。
Method and system for controlling aluminum alloy doors and windows of smart home
智能家居的铝合金门窗控制方法及系统
HAN YI (Autor:in) / SHI JIANYONG (Autor:in)
12.11.2024
Patent
Elektronische Ressource
Chinesisch
IPC:
E05F
DEVICES FOR MOVING WINGS INTO OPEN OR CLOSED POSITION
,
Vorrichtungen zum Bewegen der Flügel in die Offen- oder Schließstellung
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