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Online learning based air conditioning temperature non-inductive control method

A technology of air-conditioning temperature and control method, which is applied in the direction of control input related to air characteristics, space heating and ventilation control input, heating and ventilation control system, etc. issues of control

Active Publication Date: 2020-08-04
TONGJI ARTIFICIAL INTELLIGENCE RES INST SUZHOU CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the current smart home field, most air-conditioning temperature control solutions are based on mobile phone APP or remote control to achieve human-computer interaction, the degree of intelligence is not high enough, and the system lacks self-adaption and autonomous control capabilities

Method used

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  • Online learning based air conditioning temperature non-inductive control method
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  • Online learning based air conditioning temperature non-inductive control method

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Embodiment Construction

[0066] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Apparently, the described embodiments are part of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0067] In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer" etc. The indicated orientation or positional relationship is based on the orientation or positional relationship shown in the drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the referred device or element must have a specific orientati...

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Abstract

The invention relates to an online learning based air conditioning temperature non-inductive control method which comprises the following steps: establishing a human body thermal comfort degree prediction model for an individual user; obtaining an optimal indoor air temperature prediction model through solving of the human body thermal comfort degree prediction model; adopting the online learningmanner, utilizing recent and historical data collected and recorded by an intelligent housing system and continuously fitting the optimal indoor air temperature prediction model; adjusting the model parameter; predicating the optimal indoor air temperature meeting the preference of the individual user at different time periods; and taking the optimal indoor air temperature as the air conditioningtemperature set value to realize air conditioning temperature non-inductive control, so that the indoor air temperature is intelligently adjusted and controlled, and the optimal comfort degree demandof the user is met. When the online learning based air conditioning temperature non-inductive control method is applied to the actual intelligent housing system, air conditioning temperature non-inductive control can be realized, the indoor temperature preference of the user can be captured and learnt when the user participation degree is greatly reduced to meet the user comfort degree demand.

Description

technical field [0001] The invention belongs to the field of smart home furnishing, and in particular relates to a non-inductive control method for air-conditioning temperature based on online learning. Background technique [0002] Non-inductive control means that during the operation of the smart home system, human participation should be reduced as much as possible, so that the system can automatically capture the user's usage habits and preferences, and finally achieve the goal of integrating people and the home system. Using the online learning method, the system can automatically modify the system structure or parameters to improve the performance of the system itself by evaluating the correctness or goodness of the existing behavior during operation, and the improvements obtained through learning can also be saved and fixed in the system structure. among. Online learning technology is an effective method to realize the senseless control of smart home system. [0003...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): F24F11/54F24F11/58F24F11/65F24F11/72F24F11/77F24F11/64F24F110/10F24F110/12F24F110/20F24F110/30F24F120/20
CPCF24F11/54F24F11/58F24F11/65F24F11/72F24F11/77F24F11/64F24F2110/10F24F2110/12F24F2110/20F24F2110/30F24F2120/20Y02B30/70
Inventor 钟政
Owner TONGJI ARTIFICIAL INTELLIGENCE RES INST SUZHOU CO LTD
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