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Air conditioner control method based on indoor scene analysis

An indoor scene and control method technology, applied in heating and ventilation control systems, heating methods, space heating and ventilation, etc., can solve the problems of inability to adjust the air conditioning temperature and air blowing, and changing the air conditioning temperature and air blowing speed.

Active Publication Date: 2017-09-15
RECONOVA TECH CO LTD
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  • Description
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AI Technical Summary

Problems solved by technology

[0003] The disadvantage of the existing automatic mode of the air conditioner is that the temperature and blowing of the air conditioner cannot be adjusted according to the real-time activity scene of the user
For example, the temperature and blowing speed required by the user in the sleeping scene and the eating scene are different, and the air conditioner cannot automatically change the temperature and blowing speed of the air conditioner according to the change of the scene

Method used

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  • Air conditioner control method based on indoor scene analysis

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Embodiment Construction

[0044] The invention discloses an air conditioner control method based on indoor scene analysis, which uses a deep learning human body recognition algorithm, a motion scene algorithm, and a furniture recognition algorithm to process images captured by a camera on the air conditioner to obtain the current user's use scene , automatically control the temperature and blowing mode of the air conditioner according to different scenarios.

[0045] The specific method of the present invention is as follows.

[0046] Step 1. Neural network model training

[0047] Step 1.1, Neural Network Model Training for Human Recognition

[0048] By collecting various pictures and videos of the human body indoors, and then using an external rectangular frame to manually calibrate the human body area, the calibrated data is sent to a deep convolutional neural network (CNN, Convolution Neural Network) for learning, and the results for the human body are obtained. Recognized neural network models. ...

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PUM

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Abstract

According to an air conditioner control method based on indoor scene analysis, an image collecting device is arranged on an air conditioner so that an indoor image can be collected; comprehensive analysis of the human body posture, the human body motion trajectory and the position relationship between the human body and furniture is conducted on the collected indoor image through an artificial intelligent network so that a sleep scene, a dining scene, a party scene, a motion scene and a leisure scene in a room can be identified; and the temperature and the air blowing mode of the air conditioner are automatically controlled according to the identified different scenes.

Description

technical field [0001] The invention relates to an air conditioner control method based on indoor scene analysis. Background technique [0002] Air conditioners are very common and widely used electrical appliances in daily life, such as various wall-mounted air conditioners and central air conditioners. At present, the automatic mode setting of air conditioners on the domestic and foreign markets is based on the temperature set by the user. The air conditioner automatically selects cooling or heating. Temperature air conditioning heating. [0003] The disadvantage of the existing air conditioner automatic mode is that the temperature and blowing of the air conditioner cannot be adjusted according to the user's real-time activity scene. For example, the temperature and blowing speed required by the user in the sleeping scene and the eating scene are different, and the air conditioner cannot automatically change the temperature and blowing speed of the air conditioner accor...

Claims

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Application Information

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IPC IPC(8): F24F11/00
Inventor 黄春辉贾宝芝穆金鹏胡燕彬
Owner RECONOVA TECH CO LTD
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