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Intelligent window adjusting method and device based on neural network
In order to solve a problem that a shutter is uncomfortable to open and use due to a fact that factors of emotions of people are not considered in control of the shutter in the prior art, the invention provides an intelligent window adjusting method and device based on a neural network. The technical scheme is characterized by collecting an indoor face image, and obtaining the subjective emotion of a person through emotion analysis; and taking the obtained subjective emotion of the person, an indoor and outdoor temperature and humidity, an outdoor environment wind speed and a wind direction and indoor and outdoor illumination information as decision variables, and then analyzing the decision variables through a trained neural network module to obtain a windowing amount. Compared with the prior art, by using the method of the invention, the windowing amount of the window can be precisely adjusted in an online mode according to the subjective emotions of the person, the environment temperature, the environment humidity, the environment wind speed, the wind direction, illumination intensity and the like, optimal lighting is achieved, and high-level requirements of people for smart home are met.
为了解决现有技术中对于百叶窗的控制没有考虑人的情绪的因素而造成的百叶窗开启使用不舒适的问题，本发明提供一种基于神经网络的智能窗户调节方法及装置，其技术方案在于：采集室内的人脸图像，通过情感分析，获取人的主观情绪；将获得的人的主观情绪、室内外温度和湿度、室外环境风速和风向、室内外光照信息作为决策量，然后通过训练的神经网络模块对上述各个决策量进行分析，获取开窗量。本发明与现有技术相比，能够根据人的主观情绪、环境温度、环境湿度、环境风速和风向以及光照强度等在线对窗户的开窗量进行精准调节，达到最佳采光，满足人们对智能家居高层次需求。
Intelligent window adjusting method and device based on neural network
In order to solve a problem that a shutter is uncomfortable to open and use due to a fact that factors of emotions of people are not considered in control of the shutter in the prior art, the invention provides an intelligent window adjusting method and device based on a neural network. The technical scheme is characterized by collecting an indoor face image, and obtaining the subjective emotion of a person through emotion analysis; and taking the obtained subjective emotion of the person, an indoor and outdoor temperature and humidity, an outdoor environment wind speed and a wind direction and indoor and outdoor illumination information as decision variables, and then analyzing the decision variables through a trained neural network module to obtain a windowing amount. Compared with the prior art, by using the method of the invention, the windowing amount of the window can be precisely adjusted in an online mode according to the subjective emotions of the person, the environment temperature, the environment humidity, the environment wind speed, the wind direction, illumination intensity and the like, optimal lighting is achieved, and high-level requirements of people for smart home are met.
为了解决现有技术中对于百叶窗的控制没有考虑人的情绪的因素而造成的百叶窗开启使用不舒适的问题，本发明提供一种基于神经网络的智能窗户调节方法及装置，其技术方案在于：采集室内的人脸图像，通过情感分析，获取人的主观情绪；将获得的人的主观情绪、室内外温度和湿度、室外环境风速和风向、室内外光照信息作为决策量，然后通过训练的神经网络模块对上述各个决策量进行分析，获取开窗量。本发明与现有技术相比，能够根据人的主观情绪、环境温度、环境湿度、环境风速和风向以及光照强度等在线对窗户的开窗量进行精准调节，达到最佳采光，满足人们对智能家居高层次需求。
Intelligent window adjusting method and device based on neural network
一种基于神经网络的智能窗户调节方法及装置
ZHANG QUANYONG (author) / FENG DAPENG (author) / WEN SHENG (author) / ZHAO MENGWEI (author) / LIU HAILONG (author) / PENG WENYUAN (author)
2020-04-28
Patent
Electronic Resource
Chinese
IPC:
G05B
Steuer- oder Regelsysteme allgemein
,
CONTROL OR REGULATING SYSTEMS IN GENERAL
/
E06B
Feste oder bewegliche Abschlüsse für Öffnungen in Bauwerken, Fahrzeugen, Zäunen oder ähnlichen Einfriedungen allgemein, z.B. Türen, Fenster, Läden, Tore
,
FIXED OR MOVABLE CLOSURES FOR OPENINGS IN BUILDINGS, VEHICLES, FENCES, OR LIKE ENCLOSURES, IN GENERAL, e.g. DOORS, WINDOWS, BLINDS, GATES
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