阅读说明：本技术 空调控制系统 (Air conditioner control system ) 是由 盛凯 何明顺 矫晓龙 张文强 于 2021-07-05 设计创作，主要内容包括：本发明公开了一种空调控制系统,包括：云平台,其用于收集用户行为数据,并建立用户行为数据与空调控制指令之间的预测模型；网络连接器,其分别与云平台和空调器的室外机互相通讯；云平台接收实时的用户行为数据,下发制冷模式指令或制热模式指令,并根据预测模型周期性向室外机输出空调控制指令；云平台判断是否需要能力优先控制,若是,云平台判断待控制室内机的地址与预设的优先控制的室内机地址相同时,空调控制指令为用于调整待控制室内机的电子膨胀阀的开度的第一指令。本发明能够在需要能力优先控制且待控制室内机的地址与预设的优先控制的室内机地址相同时,智能调整特定区域空调器的制冷/制热输出能力。(The invention discloses an air conditioner control system, comprising: the cloud platform is used for collecting user behavior data and establishing a prediction model between the user behavior data and the air conditioner control instruction; a network connector which is communicated with the cloud platform and an outdoor unit of the air conditioner respectively; the cloud platform receives real-time user behavior data, issues a refrigeration mode instruction or a heating mode instruction, and periodically outputs an air conditioner control instruction to the outdoor unit according to the prediction model; the cloud platform judges whether capacity priority control is needed, if yes, the cloud platform judges that the address of the indoor unit to be controlled is the same as the preset address of the indoor unit to be subjected to priority control, and the air conditioner control instruction is a first instruction used for adjusting the opening degree of an electronic expansion valve of the indoor unit to be controlled. The invention can intelligently adjust the refrigerating/heating output capacity of the air conditioner in the specific area when capacity priority control is required and the address of the indoor unit to be controlled is the same as the preset address of the indoor unit with priority control.)

1. An air conditioning control system, comprising:

the cloud platform is used for collecting user behavior data and establishing a prediction model between the user behavior data and the air conditioner control instruction;

a network connector in communication with the cloud platform and an outdoor unit of the air conditioner, respectively;

the cloud platform receives real-time user behavior data, issues a refrigeration mode instruction or a heating mode instruction, and periodically outputs an air conditioner control instruction to the outdoor unit according to the prediction model;

the cloud platform judges whether capacity priority control is needed, if yes, the cloud platform judges that the address of an indoor unit to be controlled is the same as the preset address of the indoor unit under priority control, and the air conditioner control instruction is a first instruction used for adjusting the opening degree of an electronic expansion valve of the indoor unit to be controlled; otherwise, the air conditioner control instruction is a second instruction for adjusting the opening degree of the electronic expansion valve;

wherein the first instruction is different from the second instruction.

2. The climate control system of claim 1, wherein the cloud platform employs a machine learning algorithm to build the predictive model.

3. The air conditioning control system according to claim 1,

and the cloud platform acquires the user behavior data through an application program loaded on a terminal communicating with the cloud platform.

4. The air conditioning control system according to any one of claims 1 to 3,

the user behavior data comprises a control instruction and a control time point of the air conditioner by the user.

5. The air conditioning control system according to claim 1,

the first instruction is a first target superheat degree;

and the outdoor unit adjusts the opening degree of the electronic expansion valve according to the first target superheat degree and the superheat degree obtained in real time until the superheat degree reaches the first target superheat degree.

6. The air conditioning control system according to claim 5,

and determining the first target superheat degree according to the difference between the suction temperature of the compressor of the outdoor unit and the set temperature.

7. The air conditioning control system according to claim 6,

the second instruction is a second target superheat degree;

the outdoor unit adjusts the opening degree of the electronic expansion valve according to the second target superheat degree and the superheat degree obtained in real time until the superheat degree reaches the second target superheat degree;

where the first target degree of superheat = the second target degree of superheat-K1.

8. The air conditioning control system according to claim 1,

the first instruction is a first target supercooling degree;

and the outdoor unit adjusts the opening degree of the electronic expansion valve according to the first target supercooling degree and the supercooling degree obtained in real time until the supercooling degree reaches the first target supercooling degree.

9. The air conditioning control system according to claim 8,

the second instruction is a second target supercooling degree;

the outdoor unit adjusts the opening degree of the electronic expansion valve according to the second target supercooling degree and the supercooling degree obtained in real time until the supercooling degree reaches the second target supercooling degree;

the first target supercooling degree is smaller than the second target supercooling degree.

10. The air conditioning control system according to claim 9,

and determining the second target supercooling degree according to the difference between the set temperature and the suction temperature of the compressor of the outdoor unit.

Technical Field

The invention relates to the technical field of air conditioner control, in particular to an air conditioner control system.

Background

Along with the development of industrial technologies towards the intelligent direction, a plurality of intelligent air conditioners are also appeared in the existing market, the air conditioners are accessed to the internet, the air conditioners can be conveniently controlled through mobile terminals such as mobile phones and tablet computers, and the technologies enable users and the air conditioners to achieve better interactive experience.

At present, the control of an air conditioner through an application program on a mobile terminal such as a mobile phone and a tablet personal computer is mainly realized by issuing a control instruction to a remote controller through a cloud platform and then sending the instruction to an outdoor unit through a remote controller. According to the remote control, the cloud platform is only used as a platform for storing and forwarding air conditioner data, the control logic only migrates parameters controlled by the remote controller to the cloud end, the final control effect is not obviously changed, and a user hardly obtains an additional control function, so that the control of the air conditioner based on the cloud computing has certain limitation.

In addition, for the central air conditioner, one outdoor unit can be connected with a plurality of indoor units, the indoor units can be independently controlled, and in some use scenes, the cooling/heating capacity of the indoor units in a specific area needs to be changed, so that the central air conditioner has stronger cooling/heating effect (namely capacity priority control) compared with other areas.

The current common control method can only set the indoor unit of the specific area to a specific temperature according to the requirement, but the output capacity of the air conditioner at the temperature is not improved. Therefore, how to further improve the output capacity of the air conditioner on the premise of setting the temperature in a specific area is a problem to be solved.

Disclosure of Invention

The invention aims to provide an air conditioner control system, which issues an air conditioner control instruction to an outdoor unit through a cloud platform according to user behavior data to realize intelligent control of an air conditioner; and the capacity priority control is needed, and the address of the indoor unit to be controlled is the same as the preset address of the indoor unit with the priority control, the air conditioner control command is a command for adjusting the opening degree of an indoor electronic expansion valve, and the refrigerating/heating output capacity of the air conditioner in the specific area is intelligently adjusted.

In order to realize the purpose of the invention, the invention is realized by adopting the following technical scheme:

the application relates to an air conditioner control system, which is characterized by comprising:

the cloud platform is used for collecting user behavior data and establishing a prediction model between the user behavior data and the air conditioner control instruction;

a network connector in communication with the cloud platform and an outdoor unit of the air conditioner, respectively;

the cloud platform receives real-time user behavior data, issues a refrigeration mode instruction or a heating mode instruction, and periodically outputs an air conditioner control instruction to the outdoor unit according to the prediction model;

the cloud platform judges whether capacity priority control is needed, if yes, the cloud platform judges that the address of an indoor unit to be controlled is the same as the preset address of the indoor unit under priority control, and the air conditioner control instruction is a first instruction used for adjusting the opening degree of an electronic expansion valve of the indoor unit to be controlled; otherwise, the air conditioner control instruction is a second instruction for adjusting the opening degree of the electronic expansion valve;

wherein the first instruction is different from the second instruction.

In the application, the cloud platform adopts a machine learning algorithm to establish the prediction model.

In the application, the cloud platform acquires the user behavior data through an application program loaded on a terminal communicating with the cloud platform.

In this application, the user behavior data includes a control instruction and a control time point of the air conditioner by the user.

In the present application, the first command is a first target superheat degree;

and the outdoor unit adjusts the opening degree of the electronic expansion valve according to the first target superheat degree and the superheat degree obtained in real time until the superheat degree reaches the first target superheat degree.

In the present application, the first target superheat degree is determined based on a difference between a suction temperature of a compressor of the outdoor unit and a set temperature.

In the present application, the second instruction is a second target superheat degree;

the outdoor unit adjusts the opening degree of the electronic expansion valve according to the second target superheat degree and the superheat degree obtained in real time until the superheat degree reaches the second target superheat degree;

where the first target degree of superheat = the second target degree of superheat-K1.

In the present application, the first command is a first target supercooling degree;

and the outdoor unit adjusts the opening degree of the electronic expansion valve according to the first target supercooling degree and the supercooling degree obtained in real time until the supercooling degree reaches the first target supercooling degree.

In the present application, the second command is a second target supercooling degree;

the outdoor unit adjusts the opening degree of the electronic expansion valve according to the second target supercooling degree and the supercooling degree obtained in real time until the supercooling degree reaches the second target supercooling degree;

the first target supercooling degree is smaller than the second target supercooling degree.

In the present application, the second target supercooling degree is determined according to a difference between a set temperature and a suction temperature of a compressor of the outdoor unit.

Compared with the prior art, the air conditioner control system provided by the application has the following advantages and beneficial effects:

(1) the strong computing power of the cloud platform is utilized to analyze the user behavior data, a prediction model is established, and data processing is fast;

(2) the prediction model takes user behavior data as input parameters and takes an air conditioner control instruction as an output parameter, so that the intelligent control level of the air conditioner is greatly improved, and the user experience is improved;

(3) the cloud platform directly issues an air conditioner control instruction to the outdoor unit, the instruction is prevented from being indirectly transmitted through a remote controller, the outdoor unit directly controls the opening of an electronic expansion valve of the connected running indoor unit according to the received instruction, and the intelligent control of the air conditioner is realized;

(4) the method comprises the steps of presetting an address of an indoor unit with priority control, issuing a first instruction to an outdoor unit when capacity priority control is needed and the address of an indoor unit to be controlled is the same as the preset address of the indoor unit, issuing a second instruction different from the first instruction if the capacity priority control is not needed, performing capacity priority control on the indoor unit in a specific area, and improving the refrigerating/heating output capacity of the indoor unit in the specific area.

Other features and advantages of the present invention will become more apparent from the following detailed description of the invention when taken in conjunction with the accompanying drawings.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

FIG. 1 is a communication block diagram of an embodiment of an air conditioning control system according to the present invention;

fig. 2 is a schematic block diagram of an embodiment of an air conditioning control system according to the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments.

All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention. In the description of the present invention, it is to be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplicity of description, and do not indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and thus, are not to be construed as limiting the present invention.

In the description of the present invention, it should be noted that the terms "mounted," "connected," and "connected" are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally connected unless otherwise explicitly stated or limited. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art. In the foregoing description of embodiments, the particular features, structures, materials, or characteristics may be combined in any suitable manner in any one or more embodiments or examples.

The terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless otherwise specified.

[ basic operation principle of air conditioner ]

The refrigeration cycle of the air conditioner includes a compressor, a condenser, an expansion valve, and an evaporator. The refrigeration cycle includes a series of processes involving compression, condensation, expansion, and evaporation, and supplies refrigerant to the air that has been conditioned and heat-exchanged.

The compressor compresses a refrigerant gas in a high-temperature and high-pressure state and discharges the compressed refrigerant gas. The discharged refrigerant gas flows into the condenser. The condenser condenses the compressed refrigerant into a liquid phase, and heat is released to the surrounding environment through the condensation process.

The expansion valve expands the liquid-phase refrigerant in a high-temperature and high-pressure state condensed in the condenser into a low-pressure liquid-phase refrigerant. The evaporator evaporates the refrigerant expanded in the expansion valve and returns the refrigerant gas in a low-temperature and low-pressure state to the compressor. The evaporator can achieve a cooling effect by heat-exchanging with a material to be cooled using latent heat of evaporation of a refrigerant. The air conditioner can adjust the temperature of the indoor space throughout the cycle.

The outdoor unit of an air conditioner refers to a portion including a compressor of a refrigeration cycle and includes an outdoor heat exchanger, the indoor unit of an air conditioner includes an indoor heat exchanger, and an expansion valve may be provided in the indoor unit or the outdoor unit of an air conditioner.

The indoor heat exchanger and the outdoor heat exchanger serve as a condenser or an evaporator. When the indoor heat exchanger is used as a condenser, the air conditioner is used as a heater in a heating mode, and when the indoor heat exchanger is used as an evaporator, the air conditioner is used as a cooler in a cooling mode.

[ air-conditioning control System ]

In the present application, the air conditioner may refer to a multi-split air conditioner.

The multi-split air conditioner comprises at least one outdoor unit and at least one indoor unit connected through a refrigerant connecting pipeline.

In the present application, a description will be given of one outdoor unit and one or more indoor units as an example.

Referring to fig. 1, the present invention relates to a cloud platform, a network connector, an outdoor unit, and an indoor unit.

The cloud platform is communicated with the network connector, and the network connector is also communicated with the outdoor unit, so that the cloud platform and the outdoor unit can be communicated with each other through the network connector.

That is, the cloud platform can issue the control instruction to the outdoor unit through the network connector, and the operation state data of the outdoor unit can also be uploaded to the cloud platform through the network connector.

Network connectors include, but are not limited to, connecting to cloud platforms via NB-IoT, 4G, 5G, etc. communication.

The terminal (such as a mobile phone, a pad or a computer) can be connected to the cloud platform through a network connection device such as a router or a gateway.

The terminal is loaded with an application program APP for controlling the air conditioner and monitoring the running state of the air conditioner, a user can issue a control instruction to the air conditioner through the APP, and the APP can read data about the running state of the outdoor unit/indoor unit on the cloud platform.

In the application, besides a common air conditioner control function, the APP also includes a newly added mode in the application, which is denoted as a "VIP mode", that is, a capacity priority control mode, as a control instruction issued to a remote controller conventionally (for example, adjusting a cooling/heating temperature/air speed, starting a dehumidification mode, and the like).

And outputting an air conditioner control instruction for controlling the air conditioner according to the user behavior data through a prediction model on the cloud platform, directly sending the air conditioner control instruction to the outdoor unit, and adjusting the opening degree of an electronic expansion valve in each running indoor unit connected with the outdoor unit to realize intelligent control of the air conditioner.

The cloud platform directly sends a control command to the outdoor unit without being forwarded by a remote controller, and the control function of the air conditioner is expanded.

Meanwhile, a control command issued by the cloud platform can be pushed to the APP so as to inform a user of the current control of the air conditioner.

The cloud platform has a strong computing function, so that in the application, the user behavior data are selected to be obtained and analyzed on the cloud platform, the prediction model is established, and the air conditioner control instruction is issued, so that the data processing speed is high, and any computing resource of the air conditioner is not occupied.

When the VIP mode is started, capacity priority control needs to be performed on the indoor unit to be controlled, and at the moment, an air conditioner control instruction issued by the cloud platform to the outdoor unit is a first instruction.

When the VIP mode is not started, the situation that capacity priority control is not needed to be carried out on the indoor unit to be controlled is shown, and the air conditioner control instruction issued by the cloud platform to the outdoor unit is a second instruction.

The first command is different from the second command to implement priority control of the capacity of the indoor unit in a specific area (i.e., a specific address), which is described in detail below.

Data acquisition

In the application, the cloud platform forms user behavior data according to the operation of the user on the APP, namely the user behavior data comprises a control instruction and control time recorded on the APP.

Data storage is performed for each user and control of each air conditioner by the user, for example, user behavior data of the user a to the air conditioner a, user behavior data of the user a to the air conditioner B, and user behavior data of the user B to the air conditioner C.

The user behavior data may be exemplified as follows: user a, accustomed to 17: 00 turn on the air conditioner, set the temperature at 20 degrees, wind speed is strong wind, sleep at 22:00, set the temperature at 26 degrees, wind speed is gentle wind, night 2:00 turns off the air conditioner, 6:00 turns on the air conditioner in the morning and sets the temperature to 28 degrees, the wind speed is strong wind, 8:00 turns off the air conditioner in the morning, and sets the air conditioner almost at the same time every day.

Model building

After a large amount of user behavior data is acquired, a predictive model may be formed by existing machine learning algorithms (e.g., LSTM, SVR, random forest).

The prediction model takes user behavior data as input parameters and takes an air conditioner control command as an output parameter.

The factors of user behaviors are considered, so that the user experience can be improved simultaneously by intelligently controlling the air conditioner.

The prediction model can be stored in a memory such as an RAM (random access memory), and when the air conditioner is started next time, the prediction model can be directly called to obtain an air conditioner control instruction corresponding to the air conditioner.

Wherein the training data used in the machine learning algorithm to build the predictive model may be provided every seven days of data as a set of training data to update the predictive model.

Instruction issue

And in the actual operation process of the air conditioner, periodically outputting an air conditioner control instruction for adjusting the opening degree of the electronic expansion valve of the corresponding indoor unit according to the acquired user behavior data and inputting the data into the prediction model.

Referring to fig. 2, the air conditioner control command is issued to the outdoor unit by the cloud platform through the network connector, and the purpose of controlling the air conditioner is achieved by adjusting the opening degree of the electronic expansion valve corresponding to the indoor unit.

The cloud platform can also directly issue control mode instructions to the outdoor unit, wherein the control mode instructions comprise a refrigeration mode instruction and a heating mode instruction.

If the output capacity of the indoor unit in the specific area needs to be improved, the first instruction issued by the cloud platform can adjust the opening degree of the electronic expansion valve of the indoor unit in the specific area, and capacity priority control of the air conditioner in the specific area is achieved.

Otherwise, a second instruction which is issued by the cloud platform and is different from the first instruction can adjust the opening degree of the electronic expansion valve.

[ air-conditioner control instruction ]

Refrigeration mode

And the cloud platform issues a refrigeration mode instruction according to the user behavior data acquired in real time and the prediction model, so that the air conditioner starts a refrigeration mode.

And the cloud platform can also issue an air conditioner control instruction to the outdoor unit.

In the present application, the air conditioning control command is different for turning on the "VIP mode" and not turning on the "VIP mode".

< opening "VIP mode" >

The addresses of the indoor units to be subjected to priority control are set in advance, and for example, five indoor units can be simultaneously set to the "VIP mode", and the corresponding indoor unit addresses are U1, U2, U3, U4, and U5.

And starting a VIP mode, and when the cloud platform judges that the address of the indoor unit to be controlled is the same as the preset address of the indoor unit, the cloud platform issues a first instruction to the outdoor unit.

The first command may refer to a first target superheat sho that is output by the predictive model as described above and is used to adjust the electronic expansion valve of the indoor unit to be controlled.

The superheat degree of an indoor heat exchanger on the side of the indoor machine to be controlled is related to the opening degree of the electronic expansion valve, when the superheat degree is small, the opening degree of the electronic expansion valve is large, and at the moment, the flow of refrigerant on the side of the indoor machine is large, so that the refrigerating capacity is increased; when the opening degree of the electronic expansion valve is small, the superheat degree is large.

Therefore, the degree of superheat can be adjusted by adjusting the opening degree of the electronic expansion valve, and a corresponding cooling capacity can be obtained.

The first target superheat degree sho is obtained from the difference Δ T between the suction temperature Ti of the compressor in the outdoor unit and the set temperature Ts as described above.

When the indoor unit to be controlled is started, the corresponding first target superheat degree sho can be obtained according to the delta T.

Δ T may be divided into a plurality of ranges, e.g., Δ T ∈ (— infinity, 0], Δ T ∈ {1}, Δ T ∈ {2}, Δ T ∈ {3}, Δ T ∈ [4, + ∞).

Correspondingly, at Δ T ∈ (— ∞, 0), the target degree of superheat is sho1, at which time the first target degree of superheat, sho = sho 1-K1.

At Δ T ∈ {1}, the target degree of superheat is sho2, when the first target degree of superheat, sho = sho 2-K1.

At Δ T ∈ {2}, the target degree of superheat is sho3, when the first target degree of superheat, sho = sho 3-K1.

At Δ T ∈ {3}, the target degree of superheat is sho4, when the first target degree of superheat, sho = sho 4-K1.

At Δ T ∈ [4, + ∞), the target degree of superheat is sho5, at which time the first target degree of superheat, sho = sho 5-K1.

The corresponding relationship between Δ T and the first target superheat degree sho is preset in the outdoor unit.

For example, a data table corresponding to Δ T and the first target superheat degree sho may be stored in the outdoor unit.

The first target superheat degree sho under the Δ T can be obtained by looking up a table.

In the present application, the corresponding first target superheat degree sho is obtained by Δ T, which is specifically as follows.

First, a relationship between Δ T and a target superheat degree is established.

The outdoor unit presets a correspondence relationship between Δ T and a target degree of superheat, such as a data table.

Next, a first target superheat degree sho is obtained by the following formula (1).

First target degree of superheat = target degree of superheat-K1 (1)

K1 is a constant obtained by experimental debugging, and for example, takes a value of 2.

In the actual operation process of the air conditioner, the superheat degree of an electronic expansion valve of an indoor unit can be acquired in real time.

In the application, the real-time superheat degree can be obtained by calculating the difference Trg-Trl between the air pipe temperature Trg and the liquid pipe temperature Trl of the indoor heat exchanger of the indoor unit.

And adjusting the opening degree of the electronic expansion valve according to the superheat degree and the first target superheat degree sho acquired in real time to enable the superheat degree to reach the first target superheat degree sho so as to obtain corresponding refrigerating capacity and realize the refrigeration priority control of the specific indoor unit.

< do not turn on "VIP mode" >

And the indoor unit to be controlled does not start the 'VIP mode', and the cloud platform issues a second instruction to the outdoor unit.

The second command may refer to a second target superheat sho' output by the prediction model as described above and used to adjust the electronic expansion valve of the indoor unit to be controlled.

The degree of superheat can be adjusted by adjusting the opening degree of the electronic expansion valve, so that the corresponding refrigerating capacity can be obtained.

The second target superheat degree sho' is obtained from the difference Δ T between the suction temperature Ti of the compressor in the outdoor unit and the set temperature Ts as described above.

When the indoor unit to be controlled is started, the corresponding second target superheat degree sho' can be obtained according to the delta T.

Δ T may be divided into a plurality of ranges, e.g., Δ T ∈ (— infinity, 0], Δ T ∈ {1}, Δ T ∈ {2}, Δ T ∈ {3}, Δ T ∈ [4, + ∞).

Correspondingly, at Δ T ∈ (— ∞, 0], the second target degree of superheat sho' = sho 1.

At Δ T ∈ {1}, the second target degree of superheat sho' = sho 2.

At Δ T ∈ {2}, the second target degree of superheat sho' = sho 3.

At Δ T ∈ {3}, the second target degree of superheat sho' = sho 4.

At Δ T ∈ [4, + ∞), the second target degree of superheat sho' = sho 5.

As described above, a data table corresponding to Δ T and the second target superheat degree sho' may be stored in the outdoor unit.

The second target superheat sho' under Δ T can be obtained by looking up a table.

In the actual operation process of the air conditioner, the superheat degree of an electronic expansion valve of an indoor unit can be acquired in real time.

In the application, the real-time superheat degree can be obtained by calculating the difference Trg-Trl between the air pipe temperature Trg and the liquid pipe temperature Trl of the indoor heat exchanger of the indoor unit.

And adjusting the opening degree of the electronic expansion valve according to the obtained superheat degree and the second target superheat degree sho 'in real time to enable the superheat degree to reach the second target superheat degree sho' so as to obtain the corresponding refrigerating capacity.

Compared with the two modes of opening the ' VIP mode ' and not opening the ' VIP mode ', for the same indoor unit to be controlled, the first target superheat degree sho when the ' VIP mode ' is opened is smaller than the second target superheat degree sho ' when the ' VIP mode ' is not opened, so that the opening control of the electronic expansion valve is correspondingly larger, the refrigerating capacity is stronger, and the refrigerating output capacity of the specific air conditioner is improved.

Heating mode

And the cloud platform issues a heating mode instruction according to the user behavior data acquired in real time and the prediction model, so that the air conditioner starts a heating mode.

And the cloud platform can also issue an air conditioner control instruction to the outdoor unit.

In the present application, the air conditioning control command is different for turning on the "VIP mode" and not turning on the "VIP mode".

< opening "VIP mode" >

The addresses of the indoor units to be subjected to priority control are set in advance, and for example, five indoor units can be simultaneously set to the "VIP mode", and the corresponding indoor unit addresses are U1, U2, U3, U4, and U5.

And starting a VIP mode, and when the cloud platform judges that the address of the indoor unit to be controlled is the same as the preset address of the indoor unit, the cloud platform issues a second instruction to the outdoor unit.

The second instruction may refer to the first target supercooling degree sco output through the prediction model as described above and used to adjust the electronic expansion valve of the indoor unit to be controlled.

The supercooling degree of the indoor heat exchanger on the indoor machine side to be controlled is related to the opening degree of the electronic expansion valve, when the supercooling degree is small, the opening degree of the electronic expansion valve is large, and at the moment, the flow of the refrigerant on the indoor machine side is large, so that the heating capacity is increased; when the opening degree of the electronic expansion valve is small, the supercooling degree is large.

Therefore, the opening degree of the electronic expansion valve can be adjusted to adjust the magnitude of the supercooling degree, so that the corresponding heating capacity can be obtained.

The first target supercooling degree sco as described above may be the set target supercooling degree scoset.

In the actual operation process of the air conditioner, the supercooling degree of an electronic expansion valve of the indoor unit can be acquired in real time.

In the application, the real-time supercooling degree is obtained by the difference Tc-Trl between the refrigerant saturation temperature Tc and the liquid pipe temperature Trl of the indoor heat exchanger of each running indoor unit.

And adjusting the opening degree of the electronic expansion valve according to the superheat degree and the first target supercooling degree sco acquired in real time to enable the supercooling degree to reach the first target supercooling degree sco so as to obtain the corresponding heating capacity and realize heating priority control on the specific indoor unit.

< do not turn on "VIP mode" >

And the indoor unit to be controlled does not start the 'VIP mode', and the cloud platform issues a second instruction to the outdoor unit.

The second instruction may refer to a second target supercooling degree sco' that is output through the prediction model as described above and is used to adjust the electronic expansion valve of the indoor unit to be controlled.

The opening degree of the electronic expansion valve can be adjusted to adjust the size of the supercooling degree, so that the corresponding heating capacity can be obtained.

The second target supercooling degree sco 'is obtained according to the difference Δ T' between the compressor set temperature Ts and the suction temperature Ti in the outdoor unit as above.

And when the indoor unit to be controlled is started, the corresponding second target supercooling degree sco 'can be obtained according to the delta T'.

Δ T 'may be divided into a plurality of ranges, for example, Δ T' ∈ (— infinity, 0], Δ T '∈ {1}, Δ T' ∈ {2}, Δ T '∈ {3}, Δ T' ∈ [4, + ∞).

Correspondingly, at Δ T '∈ (— infinity, 0], the second target supercooling degree sco' = sco 1.

At Δ T '∈ {1}, the second target supercooling degree sco' = sco 2.

At Δ T '∈ {2}, the second target supercooling degree sco' = sco 3.

At Δ T '∈ {3}, the second target supercooling degree sco' = sco 4.

At Δ T '∈ [4, + ∞)), the second target supercooling degree sco' = sco 5.

The corresponding relationship between Δ T 'and the second target supercooling degree sco' is preset in the outdoor unit.

For example, a data table corresponding to Δ T 'and the second target supercooling degree sco' may be stored in the outdoor unit.

The second target supercooling degree sco 'under the delta T' can be obtained by looking up a table.

In the actual operation process of the air conditioner, the supercooling degree of an electronic expansion valve of the indoor unit can be acquired in real time.

In the application, the real-time supercooling degree is obtained by the difference Tc-Trl between the refrigerant saturation temperature Tc and the liquid pipe temperature Trl of the indoor heat exchanger of each running indoor unit.

And adjusting the opening degree of the electronic expansion valve according to the obtained supercooling degree and the second target supercooling degree sco 'in real time to enable the supercooling degree to reach the second target supercooling degree sco' so as to obtain the corresponding heating capacity.

In the present application, the first target supercooling degree sco is smaller than the second target supercooling degree sco'.

Compared with the two modes of opening the ' VIP mode ' and not opening the ' VIP mode ', for the same indoor unit to be controlled, because the first target supercooling degree sco when the ' VIP mode ' is opened is smaller than the second target supercooling degree sco ' when the ' VIP mode ' is not opened, the opening control of the electronic expansion valve is correspondingly larger, the refrigerant flow of the indoor unit side is larger, the heating capacity is stronger, and the heating output capacity of the specific air conditioner is improved.

According to the air conditioner control system, the cloud platform establishes the prediction model by taking the acquired real user behavior data as the input parameters and the air conditioner control command as the output parameters, the cloud platform is high in computing capacity and high in data processing speed, and the output air conditioner control command can improve the use experience of a user due to the fact that the prediction model takes the user behavior data as the input parameters.

The air conditioner control instruction output by the prediction model can adjust the opening of the electronic expansion valve of the indoor unit when the address of the indoor unit is the same as the preset address of the indoor unit, so that the output capacity of the air conditioner in a specific area can be intelligently adjusted under the condition that the use habit of a user is met, and more intelligent air conditioner use experience is provided for the user.

The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions.