CN117146414A

CN117146414A - Air conditioning system and control method thereof

Info

Publication number: CN117146414A
Application number: CN202311022963.7A
Authority: CN
Inventors: 宫华耀; 阮岱玮; 高岭
Original assignee: Qingdao Hisense Hitachi Air Conditioning System Co Ltd
Current assignee: Qingdao Hisense Hitachi Air Conditioning System Co Ltd
Priority date: 2023-08-14
Filing date: 2023-08-14
Publication date: 2023-12-01

Abstract

The invention discloses an air conditioning system and a control method of the air conditioning system, relates to the technical field of air conditioning, and aims to solve the problem that the output capacity of an air conditioning outdoor unit is not matched with the room demand load and influences the user experience because the air conditioning outdoor unit is started and controlled according to fixed starting logic and control logic. The method comprises the steps of determining an operation stage and a working mode of starting an air conditioner indoor unit to be completed, and acquiring sampling data of an air conditioning system in the operation stage, wherein the sampling data comprise at least one of ambient temperature, air outlet temperature, indoor temperature and start-stop times of a compressor, and the time intervals between different operation stages and starting completion time of the air conditioner indoor unit are different. And determining a neural network model corresponding to the operation stage and the working mode from a plurality of neural network models of the air conditioning system. And controlling the frequency of the compressor of the air conditioner outdoor unit and the opening of the expansion valve of the air conditioner indoor unit according to the sampling data and the neural network model.

Description

Air conditioning system and control method thereof

Technical Field

The present invention relates to the field of air conditioning technologies, and in particular, to an air conditioning system and a control method of the air conditioning system.

Background

With the increasing quality of life, air conditioning systems are increasingly used, and people choose to use multi-split air conditioning systems in various scenes.

In the multi-split air conditioning system, no matter what working environment the air conditioning outdoor unit is installed in, the air conditioning indoor unit with any proportioning requirement is matched, the air conditioning outdoor unit is started and controlled according to fixed starting and normal control logic, namely, the frequency of the compressor and the opening of the expansion valve of the air conditioning indoor unit are kept unchanged in a starting stage and a control stage.

When the demand load of the room where the indoor unit of the air conditioner is positioned is smaller and the output capacity of the outdoor unit of the air conditioner is too high, the air outlet of the indoor unit of the air conditioner is exposed, and the comfort requirement of users cannot be met. When the demand load of the room where the indoor unit of the air conditioner is located is large, and the output capacity of the outdoor unit of the air conditioner is too low, poor user experience can be brought to users.

Disclosure of Invention

The embodiment of the invention provides an air conditioning system and a control method of the air conditioning system, which solve the problem that the output capacity of an air conditioning outdoor unit is not matched with the room demand load and the user experience is affected because the air conditioning outdoor unit is started and controlled according to fixed starting logic and control logic.

In order to achieve the above purpose, the embodiment of the present application adopts the following technical scheme:

in a first aspect, the present application provides an air conditioning system including an air conditioning outdoor unit and an air conditioning indoor unit. The air conditioner outdoor unit comprises a controller, wherein the controller comprises a state variable acquisition part and an indoor and outdoor adjusting device. The system comprises a state variable acquisition part, a control part and a control part, wherein the state variable acquisition part is configured to determine an operation stage and a working mode of starting an air conditioner outdoor unit to be completed, and acquire sampling data of an air conditioner system in the operation stage, wherein the sampling data comprises at least one of an environment temperature, an air outlet temperature of an air conditioner indoor unit, an indoor temperature and a start-stop frequency of a compressor, and the time intervals between different operation stages and starting completion time of the air conditioner indoor unit are different. And an indoor and outdoor adjusting device configured to determine a neural network model corresponding to the operation stage and the operation mode among a plurality of neural network models of the air conditioning system. The indoor and outdoor adjusting device is further configured to control the compressor frequency of the air conditioner outdoor unit and the opening degree of the expansion valve of the air conditioner indoor unit according to the sampling data and the neural network model corresponding to the operation stage and the working mode.

Therefore, the application obtains the sampling data of the air conditioning system in the operation stage by determining the operation stage and the working mode after the starting of the air conditioning outdoor unit is completed. And controlling the frequency of the compressor of the air conditioner outdoor unit and the opening of the expansion valve of the air conditioner indoor unit according to the sampling data, the operation stage and the neural network model corresponding to the working mode. Compared with the prior art, no matter what working environment the air conditioner outdoor unit is installed in, the air conditioner indoor unit matched with any proportioning requirement is started and controlled according to fixed starting and normal control logic, so that the output capacity of the air conditioner outdoor unit is not matched with the room demand load, and the user experience is affected. According to the application, the frequency of the compressor of the air conditioner outdoor unit and the opening of the expansion valve of the air conditioner indoor unit are controlled according to the sampling data and the operation stage of the neural network model after the starting is completed, so that the output capacity of the air conditioner outdoor unit is matched with the room demand load, and the comfort experience of a user is improved.

In some embodiments, the state variable obtaining part is configured to obtain, when the operation phase is a first operation phase and the operation mode is a heating mode or a cooling mode, sampling data of the air conditioning system, where the sampling data includes first environmental temperature information of an environment where the air conditioning outdoor unit is located, first air outlet temperature information of the air conditioning indoor unit, and second indoor temperature information of a room where the air conditioning indoor unit is located. The state variable obtaining part is configured to determine a first scene type where the indoor unit is located according to the first environment temperature information, the first air outlet temperature information, the second indoor temperature information and the neural network model corresponding to the working mode, wherein each scene type in the plurality of scene types is used for representing the corresponding relation between the output capacity of the indoor unit of the air conditioner and the room demand load where the indoor unit of the air conditioner is located. And a state variable acquisition part configured to determine first control information corresponding to the first scene type according to the first scene type, wherein the first control information comprises a first compressor frequency of the air conditioner outdoor unit, a first expansion valve opening degree of the air conditioner indoor unit and a first adjustment time. And an indoor and outdoor adjusting device configured to control a compressor frequency of the air conditioner outdoor unit and an expansion valve opening of the air conditioner indoor unit according to the first control information.

In some embodiments, for a plurality of scene types in the first operation stage, under different scene types, the range of the environmental temperature where the indoor unit is located is different, and the range of the difference between the air outlet temperature information and the indoor temperature information of the air conditioner indoor unit is different, and the plurality of scene types include the first scene type.

In some embodiments, the state variable obtaining part is configured to obtain, in a second operation stage after the air conditioning system is started, sampling data of the air conditioning system, where the sampling data includes second environmental temperature information of an environment in which the air conditioning outdoor unit is located and a start-stop frequency of a compressor of the air conditioning outdoor unit, and the second operation stage is subsequent to the first operation stage. The state variable obtaining part is configured to determine a second scene type where the indoor unit is located according to the second environment temperature information, the start-stop times of the compressor and the neural network model, wherein the plurality of scene types comprise the second scene type. And a state variable acquisition part configured to determine second control information corresponding to the second scene type according to the second scene type, wherein the second control information comprises a second compressor frequency of the air conditioner outdoor unit, a second expansion valve opening degree of the air conditioner indoor unit and a second adjustment time. And an indoor and outdoor adjusting device configured to control the compressor frequency of the air conditioner outdoor unit and the expansion valve opening of the air conditioner indoor unit according to the second control information.

In some embodiments, for a plurality of scene types in the second operation stage, the range of the environmental temperature where the indoor unit is located is different in different scene types, and the range of the start-stop times of the compressor of the air conditioner outdoor unit is different.

In a second aspect, the present application provides a control method of an air conditioning system, the method being applied to an air conditioning system including an air conditioning outdoor unit and an air conditioning indoor unit, the method comprising: determining an operation stage and a working mode of the completion of the starting of the air conditioner indoor unit, and acquiring sampling data of an air conditioning system in the operation stage, wherein the sampling data comprise at least one of an ambient temperature, an air outlet temperature, an indoor temperature and the starting and stopping times of a compressor, and the time intervals between different operation stages and the starting completion time of the air conditioner indoor unit are different. And determining a neural network model corresponding to the operation stage and the working mode from a plurality of neural network models of the air conditioning system. And controlling the frequency of the compressor of the air conditioner outdoor unit and the opening degree of the expansion valve of the air conditioner indoor unit according to the sampling data and the neural network model corresponding to the operation stage and the working mode.

In some embodiments, determining an operation phase and an operation mode in which the start of the air conditioner outdoor unit is completed, and acquiring sampling data of the air conditioning system in the operation phase includes: and when the working mode is a heating mode or a refrigerating mode, acquiring sampling data of the air conditioning system, wherein the sampling data comprise first environment temperature information of the environment where the air conditioning outdoor unit is positioned, first air outlet temperature information of the air conditioning indoor unit and second indoor temperature information of the room where the air conditioning indoor unit is positioned. The controlling of the compressor frequency of the air conditioner outdoor unit and the opening of the expansion valve of the air conditioner indoor unit according to the sampling data and the neural network model comprises the following steps: and determining a first scene type of the indoor unit according to the first environment temperature information, the first air outlet temperature information, the second indoor temperature information and the neural network model corresponding to the first operation stage and the working mode, wherein each scene type in the plurality of scene types is used for representing the corresponding relation between the output capacity of the indoor unit of the air conditioner and the room demand load of the indoor unit of the air conditioner. And determining first control information corresponding to the first scene type according to the first scene type, wherein the first control information comprises a first compressor frequency of the air conditioner outdoor unit, a first expansion valve opening degree of the air conditioner indoor unit and a first adjustment time. And controlling the frequency of the compressor of the air conditioner outdoor unit and the opening degree of the expansion valve of the air conditioner indoor unit according to the first control information.

In some embodiments, the method comprises: for various scene types in the first operation stage, under different scene types, the environment temperature ranges of the indoor units of the air conditioner are different, and the ranges of the difference values of the air outlet temperature information and the indoor temperature information of the indoor units of the air conditioner are different, wherein the various scene types comprise the first scene type.

In some embodiments, determining an operation phase and an operation mode in which the start of the air conditioner outdoor unit is completed, and acquiring sampling data of the air conditioning system in the operation phase includes: and in a second operation stage after the air conditioning system is started, acquiring sampling data of the air conditioning system, wherein the sampling data comprises second environmental temperature information of the environment where the air conditioning outdoor unit is positioned and the start-stop times of a compressor of the air conditioning outdoor unit, and the second operation stage is after the first operation stage. The controlling of the compressor frequency of the air conditioner outdoor unit and the opening of the expansion valve of the air conditioner indoor unit according to the sampling data and the neural network model comprises the following steps: and determining a second scene type of the air conditioner indoor unit according to the second environmental temperature information, the start-stop times of the compressor and the neural network model corresponding to the second operation stage, wherein the plurality of scene types comprise the second scene type. And determining second control information corresponding to the second scene type according to the second scene type, wherein the second control information comprises a second compressor frequency of the air conditioner outdoor unit, a second expansion valve opening degree of the air conditioner indoor unit and a second adjustment time. And controlling the frequency of the compressor of the air conditioner outdoor unit and the opening degree of the expansion valve of the air conditioner indoor unit according to the second control information.

In some embodiments, the method comprises: for various scene types in the second operation stage, under different scene types, the environment temperature ranges of the air conditioner indoor unit are different, and the range of the start-stop times of the compressor of the air conditioner outdoor unit is different.

Drawings

Fig. 1 is a schematic diagram of an air conditioning system 100;

FIG. 2 is a schematic diagram of a compressor frequently started and stopped;

FIG. 3 is a schematic diagram of a linkage relationship between a master control program and a plurality of neural network models according to the present application;

fig. 4 is a schematic structural view of a split type home air conditioner 200;

fig. 5 is a flow chart of a control method of an air conditioning system 100 according to the present application;

fig. 6 is a flow chart of a control method of an air conditioning system 100 according to the present application;

fig. 7 is a flow chart of a control method of an air conditioning system 100 according to the present application;

FIG. 8 is a schematic diagram of a control stage compressor frequency variation provided by the present application;

fig. 9 is a schematic flow chart of a control method of an air conditioning system 100 according to the present application;

fig. 10 is a schematic structural diagram of an air conditioning system 200 according to the present application.

Detailed Description

Embodiments of the present application will be described in detail below with reference to the accompanying drawings.

In the description of the present application, it should be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.

In the description of the present application, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present application will be understood in specific cases by those of ordinary skill in the art. In addition, when describing a pipeline or channel, the terms "connected" and "connected" as used herein have the meaning of conducting. The specific meaning is to be understood in conjunction with the context.

In embodiments of the application, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "e.g." in an embodiment should not be taken as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.

Fig. 1 shows a schematic configuration of an air conditioning system 100. The air conditioning system 100 includes an air conditioning outdoor unit 101 and an air conditioning indoor unit 102. Where n represents the number of air conditioning indoor units 102. The air conditioning system 100 may be, for example, a multi-unit central air conditioning system.

The air conditioning system 100 is generally applied to small and medium-sized buildings, a part of public buildings, and the like. One of the air conditioning outdoor units 101 is connected to two or more air conditioning indoor units 102 via pipes. The multi-split air conditioning system 100 employs a variable frequency compressor, a multi-pole compressor, an unloading compressor, or a combination of multiple compressors to achieve compressor capacity control. And adjusts the output capacity of the indoor unit 102 of the air conditioner, including the cooling capacity and the heating capacity, by providing an expansion valve or other auxiliary circuit.

The air conditioning indoor unit 102 communicates with the air conditioning outdoor unit 101 through a communication line, for example, the air conditioning indoor unit 102 sends a cooling demand or a heating demand to the air conditioning outdoor unit 101. If the air conditioning outdoor unit 101 receives the cooling request, a cold start scheme is performed. If the air conditioning outdoor unit 101 receives the heating request, a warm start scheme is executed. It should be noted that the difference between the cold start scheme and the hot start scheme performed by the air conditioning outdoor unit 101 is only a difference in the start frequency and the fan rotation speed of the compressor of the air conditioning system 100. However, after the cold start scheme or the hot start scheme is performed, the control method of the air conditioning outdoor unit 101 is fixed, for example, the cooling frequency and the heating frequency of the compressor in the air conditioning system 100 are both fixed values.

The air conditioning system 100 is designed in a standardized manner before leaving the factory, that is, the operation parameters (for example, the opening degree of an expansion valve, the frequency of a compressor, the rotation speed of a fan, etc.) of the air conditioning system 100 regulated in a laboratory can reach ideal indexes under standard experimental conditions. However, when the air conditioning system 100 is put on the market, the installation environment of the air conditioning system 100 and the proportioning relationship between the air conditioning outdoor unit 101 and the air conditioning indoor unit 102 are different from the standard experimental conditions. Moreover, the laboratory may not be able to traverse all of the installation environments outside the plant due to resource issues, and even some engineering projects may result in many air conditioning system 100 installation inconsistencies due to limitations in the installation environments or inexperienced staff. Therefore, after the air conditioner outdoor unit 101 is started in a standardized manner in an actual installation environment, the refrigerating frequency or the heating frequency of the compressor is a fixed value, so that if the air conditioner outdoor unit is started too fast, the room where the indoor unit 102 is positioned often has supercooling or overheating. If the start-up is too slow, the room demand load of the room in which the indoor unit 102 is located cannot be satisfied. So that the requirements of users on comfort cannot be met and energy waste is caused.

Further, the air conditioning indoor unit 102 is used for example for cooling. When the demand load of the room where the indoor unit 102 is located is smaller than the output capacity of the outdoor unit 101, the compressor is restarted when the temperature of the room where the indoor unit 102 is located rises by stopping the capacity output of the compressor in the outdoor unit 101. If the compressor is in an operating state for a long time, frequent starting and stopping of the compressor are caused, and large power consumption is caused. Moreover, frequent starting and stopping of the compressor is accompanied by varying degrees of mechanical shock, which also results in a shortened life of the compressor.

As shown in fig. 2, fig. 2 shows a schematic diagram of a compressor frequently started and stopped.

Wherein the horizontal axis represents time and the vertical axis represents compressor frequency.

In view of this, the present application provides a control method of an air conditioning system 100, which embeds a plurality of neural network models in a main control program of a main control chip of an air conditioning outdoor unit 101, so that the scene type of a room where an air conditioning indoor unit 102 is located is identified at different operation stages after the air conditioning system 100 is started, and the air conditioning system 100 is regulated and controlled according to the identified scene type. The neural network model here may be a lightweight neural network model, among others.

As shown in FIG. 3, a schematic diagram of a linkage relationship between a master control program and a plurality of neural network models is provided, where m represents the number of the neural network models, and m is an integer greater than or equal to 1, for example, may be 3, which is not limited by the present application. In fig. 3, a main control program 301 and a plurality of neural network models 302 are shown to run on a main control chip of the outdoor unit 101. The plurality of neural network models constitutes a group of neural network models.

The main control program 301 is configured to send data collected by the sensors to the plurality of neural network models 302, where the data collected by the sensors may be, for example, at least one of an ambient temperature, an air outlet temperature, an indoor temperature, and a number of start/stop times of the compressor.

The multiple neural network models 302 are configured to receive the sensor data sent by the main control program 301, determine a scene type of a room where the indoor unit 102 of the air conditioner is located according to the received sensor data, and send the scene type of the room where the indoor unit 102 of the air conditioner is located to the main control program 301. The main control program 301 controls the compressor frequency of the air conditioner outdoor unit 101 and the expansion valve opening of the air conditioner indoor unit 102 at different operation stages according to the received scene type. How scene types are divided will be described below.

In some embodiments, the control method of the air conditioning system 100 may also be applied to a split type home air conditioner. The split type household air conditioner comprises an indoor unit and an outdoor unit, wherein the indoor unit of the split type air conditioner comprises a wall hanging type, a vertical cabinet type, a suspended ceiling type, an embedded type and a floor type, and the application is not limited. As shown in fig. 4, a split type home air conditioner 200 is schematically shown. The split type home air conditioner 200 includes an indoor unit 401 and an outdoor unit 402.

The indoor unit 401 is installed indoors, the outdoor unit 402 is installed outdoors, and the indoor unit 401 and the outdoor unit 402 are connected by a pipeline and an electric wire.

Based on the descriptions of fig. 1 and 4, a multi-connected central air conditioner shown in fig. 1 will be described as an example. Fig. 5 is a flow chart of a control method of an air conditioning system 100 according to the present application, which includes the following steps.

501. The air conditioning outdoor unit 101 determines an operation stage and a working mode of the completion of the startup of the air conditioning outdoor unit 101, and obtains sampling data of the air conditioning system 100 in the operation stage, wherein the sampling data includes at least one of an ambient temperature, an air outlet temperature, an indoor temperature, and a number of startup and shutdown times of the compressor, and the time intervals between different operation stages and the startup completion time of the air conditioning indoor unit 102 are different.

The operation phase includes a start-up phase and a control phase after the start-up of the air conditioner outdoor unit 101 is completed. The start-up phase may be understood as that the air conditioner outdoor unit 101 performs a cold start-up scheme or a hot start-up scheme, and the compressor in the air conditioner outdoor unit 101 is output according to a fixed output frequency during the start-up phase to meet the set temperature of the user. The control phase may be understood as that when the indoor temperature of the room in which the indoor unit 102 of the air conditioner is located is close to the outlet air temperature of the indoor unit 102 of the air conditioner, the compressor in the outdoor unit 101 of the air conditioner decreases the output frequency to maintain the set temperature of the user. For example, the start-up period may be understood to be 4 minutes after the completion of the start-up of the air conditioning outdoor unit 101, and the control period may be understood to be 30 minutes after the completion of the start-up of the air conditioning outdoor unit 101, and the present application is not limited thereto.

The operation modes herein include a heating mode and a cooling mode.

For example, after the air conditioner outdoor unit 101 is started within 10-20min, the main control chip of the air conditioner outdoor unit 101 determines whether the air conditioner outdoor unit 101 is in the start-up stage or the control stage, and whether the air conditioner outdoor unit 101 is in the heating mode or the cooling mode. The air conditioning outdoor unit 101 acquires the ambient temperature acquired by the temperature sensor of the air conditioning outdoor unit 101, the air outlet temperature and the indoor temperature acquired by the temperature sensor of the air conditioning indoor unit 102, and the number of times of start and stop of the compressor in the air conditioning outdoor unit 101.

502. The air conditioning outdoor unit 101 determines the neural network model 302 corresponding to the operation stage and the operation mode among the plurality of neural network models 302 of the air conditioning system 100.

The plurality of neural network models herein include a heating model, a cooling model, and a start-stop model.

For example, after the air conditioning outdoor unit 101 is started, if the air conditioning outdoor unit 101 is in the heating mode at the start-up stage, the main control program 302 of the air conditioning outdoor unit 101 invokes the heating mode. If the air-conditioning outdoor unit 101 is in the cooling mode at the start-up stage, the main control program 302 of the air-conditioning outdoor unit 101 calls the cooling model. If the air conditioner outdoor unit 101 is in the control stage, the main control program 302 of the air conditioner outdoor unit 101 invokes the start-stop model.

503. The air conditioning outdoor unit 101 controls the compressor frequency of the air conditioning outdoor unit 101 and the expansion valve opening of the air conditioning indoor unit 102 according to the sampling data and the neural network model 302 corresponding to the operation phase and the operation mode.

For example, after the air conditioning outdoor unit 101 is started, if the air conditioning outdoor unit 101 is in the heating mode of the starting stage, the air conditioning outdoor unit 101 sends the sampling data of the starting stage under the heating mode acquired by the sensor to the heating mode, and controls the frequency of the compressor of the air conditioning outdoor unit 101 and the opening of the expansion valve of the air conditioning indoor unit 102. Similarly, the cooling mode of the outdoor unit 101 in the start-up stage and the heating mode of the outdoor unit 101 in the control stage are similar to those of the outdoor unit 101 in the start-up stage, and will not be repeated here.

Thus, the present application obtains the sampling data of the air conditioning system 100 during the operation phase by determining the operation phase and the operation mode after the start-up of the air conditioning outdoor unit 101 is completed. And controls the compressor frequency of the air conditioner outdoor unit 101 and the expansion valve opening of the air conditioner indoor unit 102 according to the sampling data, the operation stage and the neural network model corresponding to the working mode. Compared with the prior art, no matter what working environment the air conditioner outdoor unit 101 is installed in, the air conditioner indoor unit 102 matched with any proportioning requirement is started and controlled according to fixed starting and normal control logic, so that the output capacity of the air conditioner outdoor unit 101 is not matched with the room demand load, and the user experience is affected. According to the application, the frequency of the compressor of the air conditioner outdoor unit 101 and the opening of the expansion valve of the air conditioner indoor unit 102 are controlled according to the sampling data and the operation stage of the neural network model after the starting is completed, so that the output capacity of the air conditioner outdoor unit 102 is matched with the room demand load, and the comfort experience of a user is improved.

Based on step 501 in fig. 5, the air conditioning outdoor unit 101 determines an operation stage and an operation mode in which the start of the air conditioning outdoor unit 101 is completed, and obtains sampling data of the air conditioning system 100 in the operation stage, and controls the compressor frequency of the air conditioning outdoor unit 101 and the expansion valve opening of the air conditioning indoor unit 102 according to the sampling data and the neural network model. As shown in fig. 6, a flow chart of a control method of an air conditioning system 100 according to the present application is shown, and the method includes the following flow chart.

601. In the first operation stage, when the operation mode is the heating mode or the cooling mode, the air conditioning outdoor unit 101 obtains sampling data of the air conditioning system, where the sampling data includes first environmental temperature information of the environment where the air conditioning outdoor unit 101 is located, first air outlet temperature information of the air conditioning indoor unit 102, and second indoor temperature information of the room where the air conditioning indoor unit 102 is located.

The first run phase here is understood to be the start-up phase described above.

For example, after the air conditioning outdoor unit 101 is started, when the starting stage is in the heating mode or the cooling mode, the air conditioning outdoor unit 101 obtains the first ambient temperature information of the environment where the air conditioning outdoor unit 101 is located, the first outlet air temperature information of the air conditioning indoor unit 102, and the second indoor temperature information of the room where the air conditioning indoor unit 102 is located.

602. The air conditioning outdoor unit 101 determines a first scene type in which the air conditioning indoor unit 102 is located according to the first ambient temperature information, the first outlet air temperature information, the second indoor temperature information and the neural network model corresponding to the first operation stage and the operation mode, and each scene type in the plurality of scene types is used for representing a corresponding relation between the output capacity of the air conditioning indoor unit and the room demand load in which the air conditioning indoor unit is located.

From the above, when the working mode in the start-up phase is the heating mode, the corresponding neural network model is the heating model. When the working mode in the starting stage is a refrigeration mode, the corresponding neural network model is a refrigeration model.

After the air conditioning outdoor unit 101 is started, the laboratory determines the first scene type where the air conditioning indoor unit 102 is located according To the ambient temperature Ta of the environment where the air conditioning outdoor unit 101 is located, the indoor temperature Ti of the room where the air conditioning indoor unit 102 is located in a unit time, and the temperature variation of the air outlet temperature To of the air conditioning indoor unit 102. Ta is classified according to standard cooling (35 ℃) and standard heating (21 ℃) for the division conditions.

The first scene type corresponding to the refrigeration mode may be as shown in table 1.

TABLE 1

The first scene type corresponding to the heating mode may be as shown in table 2

TABLE 2

As can be seen from tables 1 and 2, tags 0, 1, 2, 4, 5 and 6 represent different scene types in heating mode or cooling mode. Where labels 0 and 4 may be defined as optimal, they indicate that the output capacity of the air conditioning indoor unit 102 is equal to the required load of the room in which the air conditioning indoor unit 102 is located. Tags 1 and 5 may be defined as good, meaning that the output capacity of the air conditioning indoor unit 102 is less than the room demand load in which the air conditioning indoor unit 102 is located. Tags 3 and 6 may be defined as bad, meaning that the output capacity of the air conditioning indoor unit 102 is much less than the room demand load in which the air conditioning indoor unit 102 is located. Wherein 1, 2, 5 and 6 may also be defined as non-optimal.

It should be noted that the present application distinguishes which of the 6 tag types the room where the indoor unit 102 of the air conditioner is located in the start-up phase is within 4 minutes by the heating model or the cooling model. Under the condition that the neural network model is not called, the air conditioner outdoor unit 101 can only distinguish the label type of the room where the air conditioner indoor unit 102 is located within 8min at the fastest speed, and can only distinguish the best and the non-best. In some embodiments, for a plurality of scene types in the first operation stage, the range of the ambient temperature where the air conditioning indoor unit is located is different in different scene types, and the range of the difference between the outlet air temperature information and the indoor temperature information of the air conditioning indoor unit 102 is different, where the plurality of scene types includes the first scene type.

That is, in tables 1 and 2, different labels correspond to different environmental temperature ranges in which the air conditioning indoor unit 102 is located, and the ranges of differences between the outlet air temperature information and the indoor temperature information of the air conditioning indoor unit 102 are different.

The air conditioning outdoor unit 101 is started, and then, is in a heating mode. The air conditioning outdoor unit 101 acquires first ambient temperature information of an environment in which the air conditioning outdoor unit 101 is located, first outlet air temperature information of the air conditioning indoor unit 102, and second indoor temperature information of a room in which the air conditioning indoor unit 102 is located. The range of the ambient temperature in which the first ambient temperature information is located, and the range of the difference between the outlet air temperature information and the indoor temperature information of the air-conditioning indoor unit 102 in which the difference between the first outlet air temperature information of the air-conditioning indoor unit 102 and the second indoor temperature information of the room in which the air-conditioning indoor unit 102 is located are determined. And determining the first scene type of the indoor unit 102 of the air conditioner according to the determined environment temperature range, the range of the difference value between the air outlet temperature information and the indoor temperature information and the neural network model.

603. The air conditioning outdoor unit 101 determines first control information corresponding to a first scene type according to the first scene type, the first control information including a first compressor frequency of the air conditioning outdoor unit, a first expansion valve opening of the air conditioning indoor unit, and a first adjustment time.

The control information in the cooling mode may be as shown in table 3.

TABLE 3 Table 3

Wherein A may be, for example, 1.5, and the present application is not limited thereto.

The control information in the heating mode can be shown in table 4.

TABLE 4 Table 4

Here, B may be 3, for example, and the present application is not limited thereto.

As is clear from tables 3 and 4, when the tag is good, the air conditioner outdoor unit 101 maintains the previous control. In the case where the labels are good and bad, since the heating demand requires a larger output capacity than the cooling demand of the air-conditioning outdoor unit 101, the control correction degree of the compressor of the air-conditioning outdoor unit 101 in the heating mode is larger than that in the cooling mode.

It should be noted that the present application distinguishes which of the 6 tag types the room in which the air conditioner indoor unit 102 is located in the control phase is within 30 minutes by the start-stop model.

Illustratively, the air conditioner outdoor unit 101 determines the control information according to the scene type of the room in which the air conditioner indoor unit 102 is located.

604. The air conditioning outdoor unit 101 controls the compressor frequency of the air conditioning outdoor unit and the expansion valve opening of the air conditioning indoor unit according to the first control information.

For example, assume that the air conditioning indoor unit 102 is in the start-up phase of the heating mode after the start-up is completed. The air conditioning indoor unit 102 is shown in the label 2 in table 2, and the air conditioning outdoor unit 101 controls the compressor of the air conditioning outdoor unit 101 to raise the frequency by 3AHz/s based on the label 2 in table 4, and the expansion valve opening of the air conditioning indoor unit 102 is maintained for 10s.

Based on step 604 in fig. 6, to improve the real-time performance of the control, after the start-up phase, the air-conditioning outdoor unit 101 identifies the scene type of the air-conditioning indoor unit 102 in advance, and controls according to the scene type, so as to reduce the start-stop frequency of the compressor. As shown in fig. 7, a flow chart of a control method of an air conditioning system 100 according to the present application is provided, and the method includes the following flow chart.

701. In a second operation stage after the air conditioning system is started, the air conditioning outdoor unit 101 acquires sampling data of the air conditioning system 100, where the sampling data includes second environmental temperature information of an environment where the air conditioning outdoor unit 101 is located and a start-stop frequency of a compressor of the air conditioning outdoor unit 101, and the second operation stage is subsequent to the first operation stage.

The second operating phase here can be understood as the control phase described above.

For example, after the start-up period, the air conditioning outdoor unit 101 obtains the second environmental temperature information of the environment in which the air conditioning outdoor unit 101 is located and the number of times of start-up and stop of the compressor of the air conditioning outdoor unit 101.

702. The air conditioning outdoor unit 101 determines a second scene type in which the air conditioning indoor unit 102 is located according to the second environmental temperature information, the start-stop times of the compressor, and the neural network model corresponding to the second operation stage, where the plurality of scene types include the second scene type.

The neural network model corresponding to the second operation phase herein can be understood as the start-stop model described above.

The second scene type may be as shown in table 5.

TABLE 5

In some embodiments, for a plurality of scene types in the second operation stage, the range of the ambient temperature where the air conditioner indoor unit is located is different in different scene types, and the range of the start-stop times of the compressor of the air conditioner outdoor unit 101 is different.

The control phase in the heating mode after the start-up of the air conditioner outdoor unit 101 is completed will be described as an example. The air conditioner outdoor unit 101 acquires second environmental temperature information of the environment in which the air conditioner outdoor unit 101 is located and the number of times of start and stop of the compressor. An ambient temperature range in which the second ambient temperature information is located and a range of the number of times of start and stop of the compressor of the air conditioner outdoor unit 101 in which the number of times of start and stop of the compressor is located are determined. And determining a second scene type of the indoor unit 102 according to the determined environment temperature range, the range of the start-stop times of the compressor and the neural network model.

703. The air conditioning outdoor unit 101 determines second control information corresponding to a second scene type according to the second scene type, the second control information including a second compressor frequency of the air conditioning outdoor unit, a second expansion valve opening of the air conditioning indoor unit, and a second adjustment time.

The second control information may be as shown in table 6.

TABLE 6

Illustratively, the air conditioning outdoor unit 101 determines the second control information according to the scene type in which the air conditioning indoor unit 102 is located in the control stage.

704. The air conditioning outdoor unit 101 controls the compressor frequency of the air conditioning outdoor unit 101 and the expansion valve opening of the air conditioning indoor unit 102 according to the second control information.

For example, assume that the air conditioning indoor unit 102 is in the control phase of the heating mode after the start-up is completed. The air conditioning indoor unit 102 is shown in the label 2 in table 5, and the air conditioning outdoor unit 101 controls the compressor of the air conditioning outdoor unit 101 to perform frequency reduction according to 2AHz/s based on the label 2 in table 6, and the determined expansion valve opening of the air conditioning indoor unit 102 is maintained for 10s.

Fig. 8 is a schematic diagram of a control stage compressor frequency variation provided by the present application.

The application will be described in connection with specific application scenarios.

As shown in fig. 9, a flow chart of a control method of an air conditioning system 100 according to the present application is provided, and the method includes the following flow chart.

901. The user a sets parameters by the central controller and transmits the set parameters to the indoor unit 102.

Illustratively, user A sets the cooling mode and the temperature to 20 degrees Celsius.

902. The air conditioning indoor unit 102 sends a cooling demand to the air conditioning outdoor unit 101.

903. After the start of the air conditioning outdoor unit 102 is completed, the compressor frequency of the air conditioning outdoor unit 102 and the expansion valve opening of the air conditioning indoor unit 101 are controlled according to the cooling model.

How to control the compressor frequency of the air conditioning outdoor unit 102 and the opening degree of the expansion valve of the air conditioning indoor unit 101 according to the refrigeration model has been described above, and will not be described here.

904. The air conditioning outdoor unit 102 controls the compressor frequency of the air conditioning outdoor unit 101 and the expansion valve opening of the air conditioning indoor unit 102 according to the start-stop model.

How to control the compressor frequency of the air conditioner outdoor unit 101 and the expansion valve opening of the air conditioner indoor unit 102 according to the start-stop model has been described above, and will not be described here.

Based on the above description of the control method of the air conditioning system 100, the present application further provides an air conditioning system 200. The air conditioning system 200 may also be the air conditioning system 100.

Fig. 10 is a schematic structural diagram of an air conditioning system 200 according to the present application. The air conditioning system 200 includes a controller including a state variable acquisition unit 1001 and an indoor/outdoor adjustment device 1002.

The state variable obtaining part 1001 is configured to determine an operation stage and a working mode of the air conditioner outdoor unit when the start-up is completed, and obtain sampling data of the air conditioning system in the operation stage, where the sampling data includes at least one of an ambient temperature, an air outlet temperature of the air conditioner indoor unit, an indoor temperature, and a number of start-up and stop times of the compressor, and the time intervals between different operation stages and the start-up completion time of the air conditioner indoor unit are different. And the determining unit is also used for determining the neural network model corresponding to the operation stage and the working mode in the plurality of neural network models of the air conditioning system. The indoor and outdoor adjusting device 1002 is configured to control a compressor frequency of the air conditioner outdoor unit and an expansion valve opening of the air conditioner indoor unit according to the sampling data and the neural network model corresponding to the operation phase and the operation mode.

In some embodiments, the state variable obtaining portion 1001 is configured to obtain, when the operation phase is the first operation phase and the operation mode is the heating mode or the cooling mode, sampling data of the air conditioning system, where the sampling data includes first environmental temperature information of an environment where the air conditioning outdoor unit is located, first outlet air temperature information of the air conditioning indoor unit, and second indoor temperature information of a room where the air conditioning indoor unit is located. The state variable obtaining part 1001 is configured to determine, according to the first ambient temperature information, the first outlet air temperature information, the second indoor temperature information, and the neural network model corresponding to the first operation stage and the operation mode, a first scene type in which the air conditioning indoor unit is located, where each scene type in the plurality of scene types is used for representing a corresponding relationship between an output capability of the air conditioning indoor unit and a room demand load in which the air conditioning indoor unit is located. The state variable obtaining part 1001 is configured to determine first control information corresponding to a first scene type according to the first scene type, where the first control information includes a first compressor frequency of the air conditioning outdoor unit, a first expansion valve opening of the air conditioning indoor unit, and a first adjustment time. The indoor/outdoor adjusting device 1002 is configured to control a compressor frequency of the air conditioner outdoor unit and an expansion valve opening degree of the air conditioner indoor unit according to the first control information.

In some embodiments, for a plurality of scene types in the first operation stage, the range of the ambient temperature where the air conditioning indoor unit is located is different in different scene types, and the range of the difference between the outlet air temperature information and the indoor temperature information of the air conditioning indoor unit is different, where the plurality of scene types includes the first scene type.

In some embodiments, the state variable obtaining part 1001 is configured to obtain, in a second operation stage after the air conditioning system is started, sampling data of the air conditioning system, where the sampling data includes second environmental temperature information of an environment in which the air conditioning outdoor unit is located and a start-stop frequency of a compressor of the air conditioning outdoor unit, and the second operation stage is subsequent to the first operation stage. The state variable obtaining part 1001 is configured to determine, according to the second environmental temperature information, the start-stop times of the compressor, and the second neural network model corresponding to the second operation stage, a second scene type in which the air conditioning indoor unit is located, where the plurality of scene types include the second scene type. The state variable obtaining part 1001 is configured to determine, according to a second scene type, second control information corresponding to the second scene type, the second control information including a second compressor frequency of the air conditioning outdoor unit, a second expansion valve opening of the air conditioning indoor unit, and a second adjustment time. And the control unit is used for controlling the frequency of the compressor of the air conditioner outdoor unit and the opening degree of the expansion valve of the air conditioner indoor unit according to the second control information.

In some embodiments, for a plurality of scene types in the second operation stage, the range of the ambient temperature where the air conditioner indoor unit is located is different in different scene types, and the range of the start-stop times of the compressor of the air conditioner outdoor unit is different.

Although the application is described herein in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed application, from a study of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.

Although the application has been described in connection with specific features and embodiments thereof, it will be apparent that various modifications and combinations can be made without departing from the spirit and scope of the application. Accordingly, the specification and drawings are merely exemplary illustrations of the present application as defined in the appended claims and are considered to cover any and all modifications, variations, combinations, or equivalents that fall within the scope of the application. It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.

The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims

1. An air conditioning system, comprising:

an air conditioner outdoor unit;

an air conditioner indoor unit;

the air conditioner outdoor unit comprises a controller, wherein the controller comprises a state variable acquisition part and an indoor and outdoor adjusting device;

the state variable acquisition part is configured to determine an operation stage and a working mode of the starting completion of the air conditioner outdoor unit, and acquire sampling data of the air conditioner system in the operation stage, wherein the sampling data comprises at least one of an ambient temperature, an air outlet temperature of the air conditioner indoor unit, an indoor temperature and the starting and stopping times of a compressor, and the time intervals between different operation stages and the starting completion time of the air conditioner indoor unit are different;

the indoor and outdoor adjusting device is configured to determine a neural network model corresponding to the operation stage and the working mode from a plurality of neural network models of the air conditioning system;

The indoor and outdoor adjusting device is further configured to control the compressor frequency of the air conditioner outdoor unit and the opening degree of the expansion valve of the air conditioner indoor unit according to the sampling data and the neural network model corresponding to the operation stage and the working mode.

2. The air conditioning system according to claim 1, wherein the state variable obtaining section is configured to obtain, when the operation phase is a first operation phase and the operation mode is a heating mode or a cooling mode, sampling data of the air conditioning system, the sampling data including first ambient temperature information of an environment in which the air conditioning outdoor unit is located, first outlet air temperature information of the air conditioning indoor unit, and second indoor temperature information of a room in which the air conditioning indoor unit is located;

the state variable obtaining part is configured to determine a first scene type where the air conditioning indoor unit is located according to the first environment temperature information, the first air outlet temperature information, the second indoor temperature information and a neural network model corresponding to the first operation stage and the working mode, wherein each scene type in a plurality of scene types is used for representing a corresponding relation between the output capacity of the air conditioning indoor unit and the room demand load where the air conditioning indoor unit is located;

The state variable obtaining part is configured to determine first control information corresponding to the first scene type according to the first scene type, wherein the first control information comprises a first compressor frequency of the air conditioner outdoor unit, a first expansion valve opening degree of the air conditioner indoor unit and a first adjustment time;

the indoor and outdoor adjusting device is configured to control the compressor frequency of the air conditioner outdoor unit and the opening degree of the expansion valve of the air conditioner indoor unit according to the first control information.

3. An air conditioning system according to claim 2, wherein,

for the multiple scene types in the first operation stage, under different scene types, the environment temperature ranges of the indoor unit of the air conditioner are different, and the ranges of the difference values of the air outlet temperature information and the indoor temperature information of the indoor unit of the air conditioner are different, wherein the multiple scene types comprise the first scene type.

4. An air conditioning system according to claim 2 or 3, characterized in that,

the state variable obtaining part is configured to obtain sampling data of the air conditioning system in a second operation stage after the air conditioning system is started, wherein the sampling data comprises second environment temperature information of the environment where the air conditioning outdoor unit is positioned and the start-stop times of a compressor of the air conditioning outdoor unit, and the second operation stage is after the first operation stage;

The state variable obtaining part is configured to determine a second scene type of the air conditioner indoor unit according to the second environment temperature information, the start-stop times of the compressor and a neural network model corresponding to the second operation stage, wherein the plurality of scene types comprise the second scene type;

the state variable obtaining part is configured to determine second control information corresponding to the second scene type according to the second scene type, wherein the second control information comprises a second compressor frequency of the air conditioner outdoor unit, a second expansion valve opening degree of the air conditioner indoor unit and a second adjustment time;

the indoor and outdoor adjusting device is configured to control the compressor frequency of the air conditioner outdoor unit and the opening degree of the expansion valve of the air conditioner indoor unit according to the second control information.

5. The air conditioning system of claim 4, wherein the air conditioning system comprises,

for the plurality of scene types in the second operation stage, under different scene types, the environment temperature ranges of the air conditioner indoor unit are different, and the range of the start-stop times of the compressor of the air conditioner outdoor unit is different.

6. A control method of an air conditioning system, the method being applied to an air conditioning system including an air conditioning outdoor unit and an air conditioning indoor unit, the method comprising:

Determining an operation stage and a working mode of the air conditioner outdoor unit after starting, and acquiring sampling data of the air conditioning system in the operation stage, wherein the sampling data comprise at least one of an ambient temperature, an air outlet temperature, an indoor temperature and a start-stop frequency of a compressor, and the time intervals between different operation stages and the start-up completion time of the air conditioner indoor unit are different;

determining a neural network model corresponding to the operation stage and the working mode from a plurality of neural network models of the air conditioning system;

and controlling the frequency of the compressor of the air conditioner outdoor unit and the opening degree of the expansion valve of the air conditioner indoor unit according to the sampling data and the neural network model corresponding to the operation stage and the working mode.

7. The method of claim 6, wherein the step of providing the first layer comprises,

determining an operation stage and a working mode of the air conditioner outdoor unit after starting, and acquiring sampling data of the air conditioning system in the operation stage comprises the following steps:

when the operation phase is a first operation phase and the working mode is a heating mode or a refrigerating mode, acquiring sampling data of an air conditioning system, wherein the sampling data comprises first environment temperature information of an environment where an air conditioning outdoor unit is located, first air outlet temperature information of an air conditioning indoor unit and second indoor temperature information of a room where the air conditioning indoor unit is located;

The controlling the compressor frequency of the air conditioner outdoor unit and the expansion valve opening of the air conditioner indoor unit according to the sampling data and the neural network model comprises:

determining a first scene type of the air-conditioning indoor unit according to the first environment temperature information, the first air outlet temperature information, the second indoor temperature information and a neural network model corresponding to the first operation stage and the working mode, wherein each scene type in a plurality of scene types is used for representing a corresponding relation between the output capacity of the air-conditioning indoor unit and the room demand load of the air-conditioning indoor unit;

determining first control information corresponding to the first scene type according to the first scene type, wherein the first control information comprises a first compressor frequency of the air conditioner outdoor unit, a first expansion valve opening of the air conditioner indoor unit and a first adjustment time;

and controlling the frequency of the compressor of the air conditioner outdoor unit and the opening degree of the expansion valve of the air conditioner indoor unit according to the first control information.

8. The method according to claim 7, characterized in that the method comprises:

9. The method according to claim 7 or 8, wherein,

in a second operation stage after the air conditioning system is started, acquiring sampling data of the air conditioning system, wherein the sampling data comprise second environment temperature information of the environment where the air conditioning outdoor unit is positioned and the start-stop times of a compressor of the air conditioning outdoor unit, and the second operation stage is after the first operation stage;

determining a second scene type of the air conditioner indoor unit according to the second environmental temperature information, the start-stop times of the compressor and a neural network model corresponding to the second operation stage, wherein the plurality of scene types comprise the second scene type;

determining second control information corresponding to the second scene type according to the second scene type, wherein the second control information comprises a second compressor frequency of the air conditioner outdoor unit, a second expansion valve opening of the air conditioner indoor unit and a second adjustment time;

And controlling the frequency of the compressor of the air conditioner outdoor unit and the opening degree of the expansion valve of the air conditioner indoor unit according to the second control information.

10. The method according to claim 9, characterized in that the method comprises: