Air conditioner control method and device, air conditioner and storage medium

Abstract

The invention provides an air conditioner control method and device, an air conditioner and a storage medium. The method comprises the steps of acquiring current indoor parameters, outdoor parameters and human body parameters; correcting the human body parameters through a correction function, wherein the correction function is obtained by feedback of an air conditioner adjusting behavior of a user; according to the indoor parameters, the outdoor parameters and the corrected human body parameters, calculating a current indoor comfort level; and adjusting control parameters of the air conditioner according to the current indoor comfort level and a preset comfort level corresponding to the current air conditioner mode. According to the air conditioner control method and device, the air conditioner and the storage medium provided by the invention, the human body related parameters are corrected through the correction function adjusted by the user, so that the calculation precision of the comfort level is improved, and the comfort level preference of the user is represented more accurately. An indoor state point can be adjusted to the fastest response point, so that the comfort requirement of the user can be quickly met. Then the state point is adjusted to the optimal energy-saving point, so that the effect of achieving the optimal comfort level meeting the requirements of the user with the lowest energy consumption is achieved.

Description

technical field [0001] The present application belongs to the technical field of electrical equipment, and in particular relates to an air conditioner control method and device, an air conditioner and a storage medium. Background technique [0002] With the continuous development of society and the improvement of people's living standards, people pay more and more attention to the comfort of the indoor environment. Controlling the indoor environment based on human comfort has become an important direction for the development of air conditioning systems. Different users have different requirements for comfort, so the recognition of user's personalized comfort is the key technology to improve the control level of air conditioning system. [0003] At present, PMV (Predicted Mean Vote) model is usually used in related technologies to control the air-conditioning system, mainly through sensors to collect environmental and human parameters, calculate the corresponding PMV value a...

AI Technical Summary

Problems solved by technology

[0004] However, in the related art, if we want to collect all the parameters required by the PMV model, we need to use more sensors, and the equipment cost is very high.

Moreover, the PMV model is a general model suitable for most people based on statistics, and it cannot accurately evaluate the user's personalized comfort, which makes it difficult to achieve a comfortable state of indoor environment that users are satisfied with by controlling the air conditioner.

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