CN-121993872-A - Air conditioner, control method and device thereof, storage medium and computer program product

CN121993872ACN 121993872 ACN121993872 ACN 121993872ACN-121993872-A

Abstract

The invention discloses a control method and device of an air conditioner, the air conditioner, a storage medium and a computer program product, wherein the method comprises the steps of constructing a comfort constraint model for defining a range of a health and comfort related multidimensional constraint parameter; the method comprises the steps of establishing a system energy consumption model representing the association relation among air conditioner operation parameters, equipment characteristic parameters, environment parameters and energy consumption, solving a multi-objective optimization problem with constraint by adopting a preset optimization algorithm based on a comfort constraint model and the system energy consumption model to generate an optimal control sequence containing control actions corresponding to a plurality of control periods in the future, wherein the objective of the multi-objective optimization problem comprises the steps of reducing the air conditioner energy consumption and enabling the indoor environment to conform to the allowable range of the comfort constraint model, and controlling the air conditioner to execute the control actions corresponding to the current control period in the optimal control sequence. According to the scheme, the adaptive capacity of the air conditioner to external environment and system characteristic change is improved, and the balance effect of health and comfort guarantee and high efficiency and energy conservation is improved.

Inventors

NIE XIAOJING
LIAN CAIYUN
XU GENGBIN
LI YAFEI
TIAN YASONG
Wan Yirui

Assignees

珠海格力电器股份有限公司

Dates

Publication Date: 20260508
Application Date: 20251223

Claims (10)

1. A control method of an air conditioner, comprising: Constructing a comfort constraint model for defining an allowable range of multi-dimensional constraint parameters related to health comfort; Establishing a system energy consumption model, wherein the system energy consumption model is used for representing the association relationship among air conditioner operation parameters, equipment characteristic parameters, environment parameters and air conditioner energy consumption; Based on the comfort constraint model and the system energy consumption model, solving a multi-objective optimization problem with constraint by adopting a preset optimization algorithm to generate an optimal control sequence containing control actions corresponding to a plurality of control periods in the future, wherein the objectives of the multi-objective optimization problem comprise reducing the energy consumption of an air conditioner and enabling the indoor environment to conform to the allowable range of the comfort constraint model; And controlling the air conditioner to execute the control action corresponding to the current control period in the optimal control sequence, collecting real-time feedback data, and updating the running state of the air conditioner and the parameters of the comfort constraint model and the system energy consumption model based on the real-time feedback data so as to optimize the generation process of the subsequent optimal control sequence.
2. The control method of an air conditioner according to claim 1, wherein the preset optimization algorithm is a model predictive control algorithm that quantifies the multi-objective optimization problem by constructing an objective function including an energy consumption calculation term and a comfort deviation calculation term, and adjusts a trade-off relationship of the energy consumption calculation term and the comfort deviation calculation term by a preset weight coefficient.
3. The control method of an air conditioner according to claim 1 or 2, characterized in that the method further comprises: And acquiring environmental prediction data and user behavior prediction data of a future preset period, wherein the environmental prediction data and the user behavior prediction data are used as inputs of the preset optimization algorithm, the environmental prediction data comprise weather variation prediction data, and the user behavior prediction data comprise personnel time in-out prediction data.
4. The control method of an air conditioner according to claim 1, further comprising: Acquiring user feedback data or identifying the current use scene of the air conditioner; According to the user feedback data or the comfort demand data corresponding to the use scene, adjusting the allowable range of the multi-dimensional constraint parameter; The user feedback data comprise explicit feedback data and implicit feedback data, the explicit feedback data are preference instructions input by a user through the interactive terminal, and the implicit feedback data are potential demand data obtained based on behavior analysis of an air conditioner regulated by the user.
5. The control method of an air conditioner according to claim 1, wherein controlling the air conditioner to execute a control action corresponding to a current control period in the optimal control sequence includes: for a variable frequency air conditioner, mapping a control instruction into a target frequency or target power of a compressor; For a fixed frequency air conditioner, calculating the duty cycle of the operation of the compressor, and executing a control instruction based on the duty cycle.
6. The control method of an air conditioner according to claim 1, further comprising: Collecting historical operation data of the air conditioner, wherein the historical operation data comprises historical energy consumption statistical data, historical environment parameter change data and corresponding air conditioner operation parameter data; and training and calibrating parameters of the system energy consumption model based on the historical operation data.
7. A control device of an air conditioner, comprising: a modeling unit configured to construct a comfort constraint model for defining an allowable range of multi-dimensional constraint parameters related to health comfort; The modeling unit is further configured to establish a system energy consumption model, wherein the system energy consumption model is used for representing the association relationship among air conditioner operation parameters, equipment characteristic parameters, environment parameters and air conditioner energy consumption; The optimizing unit is configured to solve a multi-objective optimizing problem with constraint by adopting a preset optimizing algorithm based on the comfort constraint model and the system energy consumption model to generate an optimal control sequence containing control actions corresponding to a plurality of control periods in future; The control unit is configured to control the air conditioner to execute the control action corresponding to the current control period in the optimal control sequence, collect real-time feedback data, update the running state of the air conditioner and parameters of the comfort constraint model and the system energy consumption model based on the real-time feedback data, and optimize the generation process of the subsequent optimal control sequence.
8. An air conditioner according to claim 7, comprising a control device for the air conditioner.
9. A storage medium comprising a stored program, wherein the program, when run, controls a device in which the storage medium is located to perform the control method of the air conditioner of any one of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, realizes the steps of the control method of an air conditioner according to any one of claims 1 to 6.

Description

Air conditioner, control method and device thereof, storage medium and computer program product Technical Field The invention belongs to the technical field of air conditioners, and particularly relates to a control method and device of an air conditioner, the air conditioner, a storage medium and a computer program product. Background With the continuous rising of global building energy consumption, the air conditioner energy-saving control technology has become a core research direction in the field of building energy conservation. In practical application, the air conditioner not only needs to meet the basic requirements of users on the health and comfort of indoor environments, but also needs to respond to the industry requirements of energy conservation and emission reduction, and the cooperative realization of the two becomes a key target of technical development. However, the existing air conditioner control technology always faces the core problem that high efficiency and energy conservation are difficult to realize on the premise of ensuring health and comfort, and the essential contradiction exists between the health and comfort requirements and the energy conservation target. The traditional air conditioner energy saving method generally adopts a fixed mode to operate, such as a timing switch, a simple temperature threshold control and the like, and the control logic only takes a single energy consumption index as a guide, so that the health and comfort attributes of the indoor environment are completely ignored, the comprehensive comfort standard covering the multiple dimensions of temperature, humidity, air quality and the like is not established, the comfort requirement difference between the personalized preference of a user and different scenes (such as sleeping and office) is not considered, the problems of frequent fluctuation of the indoor temperature, deviation of the humidity from a health interval and the like are caused, and the body feeling experience of the user is seriously influenced. Meanwhile, the prior art lacks dynamic optimization capability and cannot adapt to complex and changeable actual working conditions, on one hand, the air conditioning system cannot respond to external environment changes in real time, such as sudden rise and fall of weather temperature, fluctuation of sunlight intensity, dynamic change of indoor personnel number and the like, and still operates according to preset programs in a rigidifying mode, and on the other hand, the dynamic differences of the characteristics of the air conditioning system, such as temperature hysteresis effect caused by the fact that performance coefficients change along with working conditions, building heat inertia and the like, are not fully considered, so that a control strategy is disjointed from actual requirements. For example, in order to pursue rapid cooling or to maintain constant temperature, the prior art often makes an air conditioner operate at high power and full load, but the energy consumption is extremely high although the air conditioner can briefly meet the temperature requirement, and if the power is blindly reduced for energy saving, the indoor environment exceeds the comfort zone, and the energy saving requirement and the comfort requirement cannot be met at the same time. The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present invention and is not intended to represent an admission that the foregoing is prior art. Disclosure of Invention The invention aims to provide a control method, a device, an air conditioner, a storage medium and a computer program product of an air conditioner, which are used for solving the problems that the air conditioner can be controlled to adopt a fixed mode and lacks dynamic optimization capability in a related scheme, the external environment and system characteristic change cannot be adapted, the high efficiency and energy saving are difficult to realize while the health and comfort are ensured, the adaptation capability of the air conditioner to the external environment and the system characteristic change is improved, the balance effect of the health and comfort guarantee and the high efficiency and energy saving is improved, and the limitation of the traditional fixed mode control is effectively solved. The invention provides a control method of an air conditioner, which comprises the steps of constructing a comfort constraint model, establishing a system energy consumption model, solving a multi-objective optimization problem with constraint by adopting a preset optimization algorithm based on the comfort constraint model and the system energy consumption model, generating an optimal control sequence containing control actions corresponding to a plurality of future control cycles, wherein the objective of the multi-objective optimization problem comprises reducing the air conditioner energy consumption an