Control Method, System, Device and Storage Medium for Air Conditioner

Abstract

An embodiment of the present application provides a control method, system, device, and storage medium for an air conditioner. The air conditioner includes: an air inlet of the air conditioner, an air outlet of the air conditioner, and a plurality of functional segments located between the air inlet and the air outlet of the air conditioner; wherein, the method includes the following steps: determining at least one target functional segment currently required to be used and the desired air state at the outlet of each target functional segment according to the air state requirement at the air outlet of the air conditioner and the air state at the inlet of each functional segment in the plurality of functional segments; determining the control parameters of each target functional segment according to the desired air state at the outlet of each target functional segment in the at least one target functional segment; and controlling each target functional segment according to the control parameters of each target functional segment in the at least one target functional segment. The control method provided by the embodiment of the present application can shorten the stabilization time.

Description

Technical Field

[0001] This application relates to the technical field of air conditioner control, and particularly to a control method, system, device, and storage medium for an air conditioner. Background Art

[0002] Currently, air conditioners are an indispensable part of the production environment. Air conditioners adjust the air to meet the requirements of the processing workshop for air, such as temperature and humidity requirements.

[0003] Taking automobile painting as an example, the air conditioner in the automobile painting workshop processes the air to make the temperature, humidity, etc. in the workshop reach certain requirements. The purpose of adopting air conditioning technology in the painting workshop is to provide a suitable process spraying environment and equipment operating environment. Painting has relatively high requirements for the wind speed, temperature, and humidity in the spray booth. Regardless of the external environment in each season of spring, summer, autumn, and winter, the spray booth will basically be fixed and controlled at a certain value point, and a large amount of energy (electricity, gas, hot water, steam, water, etc.) is consumed in each season to control at the fixed point. Constant temperature and humidity are important conditions for ensuring the quality of the paint film. Therefore, the allowable window of temperature and humidity specified by paint manufacturers is generally small. If the environment gets out of control, it may lead to the drying of the paint, uneven body color and paint thickness, and even color patterns. When in different seasons, it takes a long time to debug and adapt the temperature and humidity of the air conditioner in the automobile painting workshop. Therefore, it is very important to be able to adapt to different working conditions and quickly and stably make the temperature and humidity reach a steady state. Summary of the Invention

[0004] In view of the above problems, this application is proposed to provide a control method, system, device, and storage medium for an air conditioner that solves the above problems or at least partially solves the above problems.

[0005] Then, in an embodiment of this application, a control method for an air conditioner is provided. The air conditioner includes: an air inlet of the air conditioner, an air outlet of the air conditioner, and a plurality of functional sections located between the air inlet and the air outlet of the air conditioner. The method includes:

[0006] Determine at least one target functional section that needs to be used currently and the desired air state at the outlet of each target functional section according to the air state requirements at the air outlet of the air conditioner and the air state at the inlet of each functional section in the plurality of functional sections;

[0007] Determine the control parameters of each target functional section according to the desired air state at the outlet of each target functional section in the at least one target functional section;

[0008] Control each target functional section according to the control parameters of each target functional section in the at least one target functional section.

[0009] In yet another embodiment of the present application, a control method for an air conditioner is provided, wherein the air conditioner includes: an air inlet of the air conditioner, an air outlet of the air conditioner, and a plurality of functional sections located between the air inlet and the air outlet of the air conditioner; the method includes:

[0010] Determine at least one initial functional section currently required to be used and the desired air state at the outlet of each initial functional section according to the air state at the air inlet of the air conditioner and the air state requirement at the air outlet of the air conditioner;

[0011] Determine the control parameters of each initial functional section according to the desired air state at the outlet of each initial functional section;

[0012] Control each initial functional section according to the control parameters of each initial functional section.

[0013] In yet another embodiment of the present application, a control system is provided, including: an air conditioner and a control device; the air conditioner includes: an air inlet of the air conditioner, an air outlet of the air conditioner, and a plurality of functional sections located between the air inlet and the air outlet of the air conditioner;

[0014] The control device is configured to:

[0015] Determine at least one target functional section currently required to be used and the desired air state at the outlet of each target functional section according to the air state requirement at the air outlet of the air conditioner and the air state at the inlet of each functional section among the plurality of functional sections;

[0016] Determine the control parameters of each target functional section according to the desired air state at the outlet of each target functional section among the at least one target functional section;

[0017] Control each target functional section according to the control parameters of each target functional section among the at least one target functional section.

[0018] In yet another embodiment of the present application, an electronic device is provided. The electronic device includes: a memory and a processor, wherein,

[0019] The memory is used for storing programs;

[0020] The processor is coupled to the memory and is configured to execute the programs stored in the memory to implement the method described in any one of the above.

[0021] In yet another embodiment of the present application, a computer-readable storage medium storing a computer program is provided, and when the computer program is executed by a computer, it can implement the method described in any one of the above.

[0022] In the technical solution provided by the embodiments of the present application, the expected air state at the outlet is set for each target functional section, and the control parameters of each target functional section are adjusted according to the expected air state at the outlet of each target functional section. That is to say, the technical solution provided by the embodiments of the present application decomposes the large target of air state requirements into multiple sub-targets, that is, the expected air state at the outlet of each target functional section. When each target functional section reaches its corresponding sub-target, it is equivalent to achieving the large target. In this way, it helps to shorten the system stabilization time. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present application. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0024] Figure 1 It is an enthalpy-humidity diagram provided by an embodiment of the present application;

[0025] Figure 2 It is an example diagram of setting an air state range provided by an embodiment of the present application;

[0026] Figure 3 It is a schematic diagram of the enthalpy-humidity control principle provided by an embodiment of the present application;

[0027] Figure 4 It is a schematic flow chart of the control method provided by an embodiment of the present application;

[0028] Figure 5 It is an example diagram of an air treatment path provided by an embodiment of the present application;

[0029] Figure 6 It is an example diagram of area division provided by an embodiment of the present application;

[0030] Figure 7 It is a schematic flow chart of the control method provided by another embodiment of the present application;

[0031] Figure 8a It is a block diagram of the control system provided by an embodiment of the present application;

[0032] Figure 8b It is a block diagram of the control system provided by another embodiment of the present application;

[0033] Figure 8c It is a block diagram of the control system provided by another embodiment of the present application;

[0034] Figure 9Block diagram of an electronic device provided by an embodiment of the present application. Detailed implementation manners

[0035] As one of the four major process workshops in the manufacture of complete vehicles, the painting workshop is the workshop with the highest energy consumption among the four major process workshops (accounting for about 70% of the energy consumption of the whole vehicle), and the energy consumption level of the painting workshop directly affects the manufacturing energy consumption of the whole vehicle factory. As the core process of automotive painting decoration and anti-corrosion, the entire process energy consumption of the painting process accounts for about 20% of the painting workshop, which is an important part affecting the energy consumption of the painting process.

[0036] Traditional temperature and humidity control mainly relies on PID (Proportion Integration Differentiation) regulation. For a system like air conditioning with large lag, multiple variations, and multiple couplings, the control effect of this method highly depends on the experience of the debugging personnel, and the control switching during seasonal changes is relatively cumbersome, which is likely to cause excessive system fluctuations and affect the painting quality. The traditional control methods usually have a relatively long debugging cycle, require a long time for debugging and adaptation in different seasons, and the stabilization time in the control system is also relatively long. As a major energy consumer in the painting workshop, the air conditioning system consumes a large amount of gas, cold water, hot water, etc. A long debugging time means more energy consumption and waste.

[0037] To enable those skilled in the art to better understand the solutions of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative efforts belong to the scope of protection of the present application.

[0038] In addition, in some processes described in the specification, claims, and the above-mentioned drawings of the present application, there are multiple operations that appear in a specific order. These operations may not be executed in the order in which they appear in this article or may be executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish each different operation, and the serial numbers themselves do not represent any processing order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions such as "first" and "second" in this article are used to distinguish different messages, devices, modules, etc., do not represent a sequence, and do not limit that "first" and "second" are of different types.

[0039] Generally, an air conditioner includes: an air inlet of the air conditioner, an air outlet of the air conditioner, and a plurality of functional sections located between the air inlet and the air outlet of the air conditioner. Among them, the functional section can also be called an air treatment functional section. The functional section can include: a preheating section, a surface cooling section, a heating section, a humidifying section, and so on. In different air conditioners, the combination method and combination order of the functional sections will be different. For example: in one air conditioner, located between the air inlet and the air outlet of the air conditioner, from front to back in sequence are: a preheating section, a surface cooling section, a heating section, a humidifying section; in another air conditioner, located between the air inlet and the air outlet of the air conditioner, from front to back in sequence are: a preheating section, a humidifying section, a surface cooling section, a heating section. Each functional section can only achieve one air treatment method, for example: one of heating, surface cooling, and humidifying.

[0040] Figure 1 The enthalpy-humidity diagram provided by an embodiment of the present application is shown. The enthalpy-humidity diagram (Enthalpy diagram) represents the relationship between various parameters of moist air with graph lines and is often applied in the field of industrial air-conditioning temperature and humidity control. It includes a moist air system with a certain mass of dry air, and there may also be changes in steam content. It has one more degree of freedom of state change than a simple compressible system. Therefore, the state of moist air is determined by 3 independent parameters. There are only 2 independent parameters for the state point on the plane graph. Therefore, the humidity diagram is often made with 2 selected independent parameters as coordinates under a certain total pressure (generally standard atmospheric pressure).

[0041] For example: the painting workshop requires a temperature of 21 - 24 °C and a relative humidity of 60 - 70%. The air state area (or range) enclosed by drawing two isothermal lines and two isohumidity lines on the enthalpy-humidity diagram is as Figure 2 shown by the dashed line in. That is to say, as long as the air state entering the spray booth is within this range, the temperature and humidity conditions of the spraying process can be guaranteed.

[0042] Figure 3 This is the enthalpy-humidity control principle of different functional sections provided by an embodiment of the present application. As Figure 3 shown, among them, different functional sections of the air conditioner (heating, surface cooling, and humidifying) have different enthalpy-humidity control principles:

[0043] (1) Heating process:

[0044] In the enthalpy-humidity diagram, during the heating process, the air temperature rises, the enthalpy value rises, the relative humidity decreases, and the moisture content remains unchanged, that is, Figure 3 the process from A to B in.

[0045] (2) Surface cooling process:

[0046] In the enthalpy-humidity diagram, within a certain range, during the surface cooling process, the air temperature decreases, the enthalpy value decreases, the relative humidity rises, and the moisture content remains unchanged, that is, Figure 3 the process from A to B1 in;

[0047] When the surface cooling reaches the dew point temperature of the current temperature, from B1 to C1, the relative humidity reaches 100%. If cooling continues, liquid water will be precipitated. At this time, the relative humidity continues to maintain 100%, the temperature decreases, the enthalpy value decreases, and the moisture content decreases. That is Figure 3 the process from C1 to D1 (that is, the so-called surface cooling and dehumidification).

[0048] (3) Humidification process:

[0049] In the psychrometric chart, during the humidification process, the air temperature decreases, the enthalpy value remains unchanged, the relative humidity increases, and the moisture content increases. That is Figure 3 the process from A to B2;

[0050] When continuous humidification is carried out, that is Figure 3 the process from B2 to C2, the humidity reaches 100%, the moisture content of the air reaches saturation, and the C2 point is the wet bulb temperature of this state, that is, the maximum moisture content of this state or the maximum limit of humidification and cooling in this state. When the C2 point is reached and humidification is continued to the air, the state of the air will no longer change.

[0051] Figure 4 The figure shows a schematic flowchart of a control method for an air conditioner provided by an embodiment of the present application. The air conditioner includes: a plurality of functional sections. The execution subject of this method can be a client or a server. Among them, the client can be a hardware with an embedded program integrated on the terminal, an application software installed in the terminal, or a tool software embedded in the terminal operating system, etc. The embodiments of the present application do not make any limitations in this regard. The terminal can be any terminal device including mobile phones, tablet computers, air conditioner control devices, etc. Among them, the server can be a common server, a cloud or a virtual server, etc. The embodiments of the present application do not make specific limitations in this regard. As Figure 4 shown, this method includes:

[0052] 101. Determine at least one target functional section currently required and the desired air state at the outlet of each target functional section according to the air state requirements at the air conditioner outlet and the air state at the inlet of each functional section in the plurality of functional sections.

[0053] 102. Determine the control parameters of each target functional section according to the desired air state at the outlet of each target functional section in the at least one target functional section.

[0054] 103. Control each target functional section according to the control parameters of each target functional section in the at least one target functional section.

[0055] In the above-mentioned 101, the inlet of the functional section refers to the air inlet of the functional section; the outlet of the functional section refers to the air outlet of the functional section. The positions of the inlets of different functional sections are different, and the positions of the outlets of different functional sections are also different. The air state at the inlet of each functional section refers to the actual air state at the inlet of each functional section. In each air conditioner, multiple functional sections are connected in sequence, and the outlet of the previous functional section is also the inlet of the next functional section. In an implementable solution, air state sensors can be provided at the inlets of each functional section in the air conditioner, such as: air humidity sensors, relative air humidity sensors, and so on. In addition, air state sensors can also be provided at the air outlet of the air conditioner. The air state at the inlet of each functional section can be detected by the air state sensors at the inlets of each functional section.

[0056] In the above-mentioned 101, the air state at the inlet of each functional section among multiple functional sections refers to the same moment, such as: the current moment. Determining the air state at the inlet of each functional section among multiple functional sections may include: obtaining the detection values of the air state sensors at the inlets of the respective functional sections; and determining the air state at the inlets of the respective functional sections according to the detection values.

[0057] In practical applications, when the air conditioner is started, since each functional section has not performed any treatment on the air, it can be considered that the air state at the inlet of each functional section is the same as the air state at the inlet of the air conditioner. That is to say, the air state at the inlet of the air conditioner can be used as the air state at the inlet of each functional section among multiple functional sections.

[0058] After the air conditioner is started, due to the treatment of the air by the functional sections, the air state at the inlets of each functional section will be different. At this time, it is necessary to obtain the detection values of the air state sensors at the inlets of each functional section; and determine the air state at the inlets of each functional section according to the detection values of the air state sensors at the inlets of each functional section.

[0059] The above-mentioned at least one target functional section is determined from the multiple functional sections.

[0060] In an implementable solution, after the air conditioner is started, at every preset time interval, based on the air state requirement at the air outlet of the air conditioner and the air state at the inlet of each functional section among the multiple functional sections, at least one target functional section currently required to be used and the desired air state at the outlet of each target functional section are determined. That is to say, the above control method can be executed at every preset time interval to perform cyclic adjustment on the air conditioner. In this way, the stabilization time can be reduced, enabling the air state at the air outlet of the air conditioner to stably reach the air state requirement. In addition, when the air state of the external environment (i.e., the air state at the air inlet of the air conditioner) changes, the technical solution provided by the embodiments of the present application can also capture it and make corresponding adjustments, thereby ensuring that the air state at the air outlet of the air conditioner meets the air state requirement. The above preset time interval can be 20s, 10s, etc., and can be specifically set according to actual needs. The embodiments of the present application do not make specific limitations on this.

[0061] Among them, the air state requirement refers to the requirement for the air state at the air outlet of the air conditioner. The air state requirement may include: a set air state or a set air state range. Among them, the set air state corresponds to a point on the enthalpy-humidity diagram, and the set air state range corresponds to an air state area on the enthalpy-humidity diagram. All air states within the set air state range can meet the actual process requirements. The set air state can be an air state specified by the user within the set air state range. In different seasons, the user can specify different air states within the set air state range as the set air state.

[0062] In practical applications, the actuators of the functional sections that do not need to be used among the multiple functional sections can be turned off, that is, the control parameters of the functional sections that do not need to be used among the multiple functional sections are set to off parameters, for example: 0.

[0063] The desired air state at the outlet of each target functional section refers to the desired state that the air at the outlet of each target functional section needs to reach.

[0064] The desired air state at the outlet of the target functional section closest to the air outlet of the air conditioner among the at least one target functional section is also the desired air state at the current air outlet of the air conditioner and meets the air state requirement. When the air state requirement includes a set air state range, when the air state at the inlet of the target functional section closest to the air outlet of the air conditioner is different, the desired air state at the outlet of the target functional section closest to the air outlet of the air conditioner will also be different. Then, the desired air state at the air outlet of the air conditioner will also be different. That is to say, in the embodiments of the present application, the desired air state at the air outlet of the air conditioner is not a fixed set value.

[0065] In 102 above, in one example, at least one target function segment includes a first target function segment; according to the air state at the inlet of the first target function segment and the desired air state at the outlet, the control parameters of the first target function segment are determined. In practical applications, the control parameters of the first target function segment can be calculated according to an empirical formula. Specifically, the air state at the inlet of the first target function segment and the desired air state at the outlet can be input into the empirical formula corresponding to the first target function segment to calculate the control parameters of the first target function segment.

[0066] In one example, the above control parameters may specifically include: the control parameters of the valve actuator, for example: the target valve opening. The valve actuator is used to receive the control parameters and change the opening of the valve according to the control parameters.

[0067] In 103 above, according to the control parameters of each target function segment, each target function segment is controlled. For example: the target valve opening of each target function segment can be sent to the valve actuator of the target function segment, so that the valve actuator adjusts the opening of the valve to the corresponding target valve opening.

[0068] In the technical solution provided by the embodiments of the present application, a corresponding desired air state at the outlet is set for each target function segment, and the control parameters of each target function segment are adjusted according to the desired air state at the outlet of each target function segment. That is to say, the technical solution provided by the embodiments of the present application decomposes the large target of air state requirements into multiple sub-targets, that is, the desired air state at the outlet of each target function segment. When each target function segment reaches its corresponding sub-target, it is equivalent to achieving the large target. In this way, it helps to shorten the system stabilization time.

[0069] It should be noted that taking the painting workshop as an example, generally, only after the air conditioner reaches a stable state can the car be painted. Therefore, shortening the system stabilization time can reduce energy consumption.

[0070] In practical applications, in order to reduce the energy consumption during the operation of the air conditioner, when determining at least one target functional section to be used currently and the desired air state at the outlet of each target functional section, it can be determined based on the principle of minimum energy consumption. Specifically, in the above 101, "determine at least one target functional section to be used currently and the desired air state at the outlet of each target functional section according to the air state requirement at the air outlet of the air conditioner and the air state at the inlet of each functional section among the multiple functional sections" can include: based on the principle of minimum energy consumption, determine at least one target functional section to be used currently and the desired air state at the outlet of each target functional section according to the air state requirement at the air outlet of the air conditioner and the air state at the inlet of each functional section among the multiple functional sections. In this way, the air conditioner can process air along the minimum energy consumption path or a path close to the minimum energy consumption path, thereby reducing energy consumption.

[0071] Specifically, after the air conditioner is started, at every preset time interval, based on the principle of minimum energy consumption, determine at least one target functional section to be used currently and the desired air state at the outlet of each target functional section according to the air state requirement at the air outlet of the air conditioner and the air state at the inlet of each functional section among the multiple functional sections. Through continuous adjustment, finally the air conditioner can process air along the minimum energy consumption path or a path close to the minimum energy consumption path, thereby reducing energy consumption.

[0072] Taking a painting workshop as an example, different set air state points will be set from within the set air state range for different seasons. Regardless of the ambient temperature and humidity, it will be fixed at the set air state point, and then the air conditioner will adjust the air to this set air state point. This mode can always keep the output temperature and humidity of the air conditioner stable at a certain set point, but it ignores the impact of energy consumption. It does not apply the state of the external environment in real time, and there is often over-adjustment, and a lot of energy needs to be wasted to reach the expected set point. Therefore, this application establishes an effective connection between the temperature and humidity values output by the air conditioner and the ambient temperature and humidity. The temperature and humidity output by the air conditioner are no longer fixed set values, but by detecting the ambient temperature and humidity in real time, the best energy-saving point is matched within the set air state range, and the parameter setting is improved from a constant value to automatically matching the best energy-saving point within the process control range (referring to the temperature and humidity fluctuation range that does not affect the spraying quality, that is, the set air state range), and the temperature and humidity control mode is as Figure 5 shown. Assuming that the external environment is at point M, if a single set value S point is adopted, then the most ideal control process is M→O→P→Q→S; if the process range (or process control range) is adopted, then the solution provided by the embodiment of this application can identify the current most energy-saving set value as point C in real time, and then the most ideal control process is M→O→P→C, where the enthalpy difference between P→Q is the saved refrigeration energy consumption; the enthalpy difference between Q→S and P→C is the saved heating energy consumption.

[0073] Therefore, in order to reduce the energy consumption of the air conditioner, the above air state requirements can specifically be set air state ranges. For example: temperature 21 - 24°C, relative humidity 60 - 70%.

[0074] In one example, the multiple functional segments include: a first functional segment; determining at least one target functional segment currently required to be used and the desired air state at the outlet of each target functional segment according to the air state requirements at the air outlet of the air conditioner and the air states at the inlets of the respective functional segments in the multiple functional segments, including:

[0075] 1011. Determining the target air state region to which the air state at the inlet of the first functional segment belongs from multiple air state regions.

[0076] Among them, the multiple air state regions can be divided on the enthalpy-humidity diagram based on the lowest energy consumption principle according to the air state requirements, the sorting information of the multiple functional segments in the air conditioner, and the enthalpy-humidity control principles corresponding to the respective functional segments. Different air state regions correspond to different air treatment strategies.

[0077] 1012. Determining whether the first functional segment needs to be used according to the air treatment strategy corresponding to the target air state region.

[0078] 1013. If the first functional segment needs to be used, determining the most energy-efficient air treatment path required to change the air state at the inlet of the first functional segment to meet the air state requirements according to the air treatment strategy corresponding to the target air state region.

[0079] 1014. Determining the desired air state at the outlet of the first functional segment according to the most energy-efficient air treatment path.

[0080] In the above 1011, multiple air state regions can be obtained by partitioning on the enthalpy-humidity diagram based on the principle of minimum energy consumption in advance according to the air state requirements, the sorting information of the multiple functional sections in the air conditioner, and the enthalpy-humidity control principles corresponding to each functional section; different air state regions correspond to different air treatment strategies. The air treatment strategies corresponding to each air state region include: at least one air treatment method involved in the most energy-efficient treatment path for the air state in the corresponding air state region to change to meet the air state requirements and the treatment sequence of the at least one air treatment method. The treatment sequence is determined by the most energy-efficient treatment path. The difference in air treatment strategies refers to the difference in at least one air treatment method and / or the difference in the sorting between at least one air treatment method. The at least one air treatment method and its treatment sequence involved in the most energy-efficient air treatment path for the air state in the same air state region to change to meet the air state requirements are the same; the at least one air treatment method involved in the most energy-efficient air treatment path for the air state in different air state regions to change to meet the air state requirements is different.

[0081] Each functional section can only implement one air treatment method, for example: one of heating, surface cooling, and humidification. Different air treatment strategies correspond to different operating conditions of the air conditioner, that is, different air state regions correspond to different operating conditions of the air conditioner.

[0082] Taking the air state requirements as the set air state range as an example, as Figure 6 shown, the shaded air state region (close to a quadrilateral) on the enthalpy-humidity diagram is the set air state range; the enthalpy-humidity diagram is divided into Region I, Region II, Region III, Region IV, and Region V.

[0083] Among them, the most energy-efficient treatment path for the air state A1 in Region I to change to within the set air state range is: A1 - A2 - A3, where the air treatment methods involved in A1 - A2 are heating, and the air treatment methods involved in A2 - A3 are humidification, and A2 is on the boundary line between Region I and Region II. Note: The air treatment methods involved in the most energy-efficient treatment path for any air state in Region I to change to within the set air state range are heating and humidification, and heating precedes humidification.

[0084] The most energy-efficient treatment path for the air state B1 in Region II to change to within the set air state range is: B1 - B2, where the air treatment method involved in B1 - B2 is humidification. Note: The air treatment method involved in the most energy-efficient treatment path for any air state in Region II to change to within the set air state range is humidification.

[0085] The most energy-efficient treatment path required for the air state C1 in Zone III to change to within the set air state range is: C1 - C2 - C3. Among them, the air treatment method involved in C1 - C2 is surface cooling, and the air treatment method involved in C2 - C3 is humidification. C2 is located on the boundary line between Zone II and Zone III. Note: The air treatment methods involved in the most energy-efficient treatment path required for any air state in Zone III to change to within the set air state range are: surface cooling and humidification, and surface cooling precedes humidification.

[0086] The most energy-efficient treatment path required for the air state D1 in Zone IV to change to within the set air state range is: D1 - D2 - D3 - D4. Among them, the air treatment method involved in D1 - D2 - D3 is surface cooling, and the air treatment method involved in D3 - D4 is heating. Among them, D2 is located on the 100% relative humidity line, and D3 is located on the boundary line between Zone IV and Zone V where C2 is located. Note: The air treatment methods involved in the most energy-efficient treatment path required for any air state in Zone IV to change to within the set air state range are: surface cooling and heating, and surface cooling precedes heating.

[0087] The most energy-efficient treatment path required for the air state E1 in Zone V to change to within the set air state range is: E1 - E2. Note: The air treatment method involved in the most energy-efficient treatment path required for any air state in Zone V to change to within the set air state range is: heating.

[0088] The endpoints of all the above most energy-efficient treatment paths are located within the set air state range, specifically on the boundary line of the set air state range.

[0089] It should be noted that if the air state is within the set air state range, no air treatment is required.

[0090] In the above 1012, when the air treatment strategy corresponding to the target air state area includes the air treatment method corresponding to the first functional section, it is determined that the first functional section needs to be used; when the air treatment strategy corresponding to the target air state area does not include the air treatment method corresponding to the first functional section, it is determined that the first functional section does not need to be used. Specifically, at least one air treatment method in the air treatment strategy corresponding to the target air state area is determined; if the air treatment method that the first functional section can achieve is one of this at least one air treatment method, it is determined that the first functional section needs to be used; if the air treatment method that the first functional section can achieve is not one of this at least one air treatment method, it is determined that the first functional section does not need to be used.

[0091] In the above 1013, if the first functional section needs to be used, the most energy-efficient air treatment path required for the air state to change from the air state at the inlet of the first functional section to meet the air state requirements can be determined according to the air treatment strategy corresponding to the target air state region.

[0092] In the above 1014, the air treatment path section that the first functional section needs to be responsible for is determined from the air treatment path; the air state at the end of the air treatment path section is determined as the desired air state at the outlet of the first functional section.

[0093] Note: The above first functional section refers to any one of the above multiple functional sections.

[0094] Optionally, when the first functional section needs to be used, the at least one target functional section includes: the first functional section;

[0095] For "determining the control parameters of the first target functional section according to the desired air state at the outlet of the first target functional section of the first target functional section" in the above 102, the following steps can be adopted to implement:

[0096] 1021. Determine the control parameters of the first functional section according to the air state at the starting point of the air treatment path section and the desired air state at the outlet of the first functional section.

[0097] In an example, the air state at the starting point and the desired air state at the outlet of the first functional section can be input into the empirical formula corresponding to the first functional section to obtain the control parameters of the first functional section. The empirical formula corresponding to the first functional section contains the mapping relationship between the air state at the inlet, the air state at the outlet, and the control parameters of the first control model. The empirical formula corresponding to the first functional section can be designed according to experience.

[0098] In another example, according to the air state at the starting point of the air treatment path section and the desired air state at the outlet of the first functional section, the control parameters of the first functional section are determined by using the first control model corresponding to the first functional section. Among them, the mapping relationship between the air state at the inlet, the air state at the outlet, and the control parameters of the first functional section is established in the first control model.

[0099] The air state at the starting point of the air treatment path section and the desired air state at the outlet of the first functional section can be input into the first control model to obtain the control parameters of the first functional section output by the first control model.

[0100] In an example, the first control model is obtained based on the first deep learning model; the training process of the first deep learning model is as follows:

[0101] S11. Obtain training samples and their training labels.

[0102] The training samples include: the air state at the entrance of the first target functional segment at a historical moment and the control parameters of the first target functional segment at the historical moment; the training labels include: the air state at the exit of the first target functional segment at the historical moment.

[0103] S12. Use the training samples and their training labels to train the first deep learning model.

[0104] The first deep learning model is a model based on the Deep Belief Network (DBN). Specifically: Two layers of Restricted Boltzmann Machines (RBMs) are used as the basic components of the DBN, including a visible layer and a hidden layer. The visible layer is used as the input training data, and the hidden layer is used as the feature detector. Suppose there are m visible layer nodes and n hidden layer nodes. Let be the bias vector of the visible layer, be the bias vector of the hidden layer. Given a set of states , the following energy function can be defined:

[0105] (1)

[0106] where is the offset of the th neuron in the visible layer; is the offset of the th neuron in the hidden layer; is the state vector of the visible layer, which is determined according to the air state at the entrance of the first target functional segment at a historical moment and the control parameters of the first target functional segment at the historical moment; is the state vector of the hidden layer; is the weight between the visible layer nodes and the hidden layer nodes; m is the number of neurons in the visible layer; n is the number of neurons in the hidden layer. The probability that the hidden layer neuron is activated is calculated as follows:

[0107] (2)

[0108] Since the neurons have a bidirectional connection structure, similarly, the visible layer neurons can also be activated by the hidden layer neurons, and the calculation is as follows:

[0109] (3)

[0110] where the activation function .

[0111] In the DBN, the feature output obtained by the upper-layer RBN network through learning can be used as the input of the lower layer, enabling each layer to better extract the features of the upper layer. The top-level backpropagation network takes the feature extraction of the RBM network as the input and then classifies or predicts the input features. The number of RBM layers and the number of nodes in the hidden layer both have relatively important effects on the prediction performance of the model. The first stage is pre-training, where a large amount of data is used to train each layer of the RBM network to obtain as much feature information of the original data as possible. This training is generally carried out without supervision. The second stage is the feedback adjustment stage. The outermost B neural network receives the feature vectors output by the RBM and, based on the error information, supervisedly adjusts the parameters of the entire network in reverse. In the present invention, it is selected that k = 1 step can complete the training of the model parameters.

[0112] Since there are many changes in the input quantity in the air-conditioning system, simply fitting a relatively perfect system network through the changes in the temperature and humidity at the inlet and outlet cannot be achieved well. Therefore, in this application, temperature, humidity, and wind speed sensors are installed on each section of the air-conditioning unit to detect the changes in temperature and humidity of the air after passing through each functional section, and the data is transmitted to the storage database through edge devices. In the big data training platform, the training principle of a separate DBN network is used to complete the training of the prediction model corresponding to each functional section, obtaining different prediction model sets and storing them in the corresponding database. After establishing the influence model of the set value of the actuator on the temperature and humidity in each functional section, according to different environmental states and air state requirements, at least one required functional section is determined from multiple functional sections, and then the required prediction model can be determined. After the calculation and analysis prediction of the model, the optimal solution of the controller is sent to each actuator through the network, thereby completing the temperature and humidity control of the air-conditioning system.

[0113] It should be noted that the specific implementation of DBN and the specific principles of the above formulas can be referred to the prior art and will not be elaborated here.

[0114] In the above S12, the training samples are input into the first deep learning model to obtain the predicted air state at the outlet of the first target functional section output by the first deep learning model; according to the difference between the predicted air state at the outlet and the training label, the first deep learning model is optimized.

[0115] In another example, the training process of the first control model is as follows:

[0116] S21. Obtain training samples and their training labels; the training samples include: the air state at the inlet of the first target functional section at historical moments and the air state at the outlet of the first target functional section at historical moments; the training labels include: the control parameters of the first target functional section at the historical moments;

[0117] S22. Use the training samples and their training labels to train the first control model.

[0118] In this embodiment, the first control model can also be implemented based on the above DBN.

[0119] In the above S22, input the training samples into the first control model to obtain the predicted control parameters of the first target functional segment output by the first control model; optimize the first control model according to the difference between the predicted control parameters and the training labels.

[0120] The above training samples and their training labels can be determined according to the historical air state at the entrance of each functional segment, the historical air state at the exit, and the historical control parameters. The historical air state at the entrance of each functional segment and the historical air state at the exit can be determined according to the detection values of the air state sensors at the entrance of each functional segment in the air conditioner and the air state sensor at the air outlet of the air conditioner. The number of the above training samples can be multiple, and the more the number, the better the model training.

[0121] Optionally, the above method may further include:

[0122] 104. Determine at least one functional segment that does not need to be used among the multiple functional segments according to the at least one target functional segment.

[0123] 105. Control the actuators of the at least one functional segment to perform a closing operation.

[0124] A closing control signal can be sent to the actuators of at least one functional segment. After receiving the closing control signal, the actuators close the corresponding valves.

[0125] Figure 7 Fig. shows a schematic flowchart of a control method for an air conditioner provided in another embodiment of the present application. The execution subject of this method can be a client or a server. Among them, the client can be a hardware with an embedded program integrated on the terminal, an application software installed in the terminal, or a tool software embedded in the terminal operating system, etc., and the embodiments of the present application do not make any limitations in this regard. The terminal can be any terminal device including a mobile phone, a tablet computer, an air conditioner control device, etc. Among them, the server can be a common server, a cloud or a virtual server, etc., and the embodiments of the present application do not make specific limitations in this regard. As Figure 7 shown, this method includes:

[0126] 201. Determine at least one initial functional segment currently required to be used and the desired air state at the exit of each initial functional segment according to the air state at the air inlet of the air conditioner and the air state requirement at the air outlet of the air conditioner.

[0127] 202. Determine the control parameters for each initial functional section according to the desired air state at the outlet of each initial functional section.

[0128] 203. Control each initial functional section according to the control parameters of each initial functional section.

[0129] The control method provided by the embodiments of the present application can be executed when the air conditioner is started, and the air state at the inlet of each functional section is the air state at the air inlet of the air conditioner.

[0130] In the above 201, according to the air state at the air inlet of the air conditioner and the air state requirement at the air outlet of the air conditioner, determine the air treatment path required to change from the air state at the air inlet of the air conditioner to meet the air state requirement; determine at least one initial functional section currently required to be used and the desired air state at the outlet of each initial functional section according to the air treatment path. Specifically, according to at least one air treatment method involved in the air treatment path and its sorting, determine at least one initial functional section from multiple functional sections.

[0131] The above air treatment path can specifically be the most energy-efficient treatment path.

[0132] In an implementable solution, the above 201 can be implemented by the following steps:

[0133] 2011. Determine the target air state region to which the air state at the air inlet of the air conditioner belongs from multiple air state regions.

[0134] Among them, the multiple air state regions are obtained by dividing according to the air state requirement; different air state regions correspond to different air treatment strategies.

[0135] 2012. Determine at least one initial functional section currently required to be used from multiple functional sections according to the air treatment strategy corresponding to the target air state region.

[0136] 2013. Determine the most energy-efficient air treatment path required to change from the air state at the air inlet of the air conditioner to meet the air state requirement according to the air treatment strategy corresponding to the target air state region.

[0137] 2014. Determine the desired air state at the outlet of each of the at least one initial functional section according to the most energy-efficient air treatment path.

[0138] In the above 2012, at least one initial functional section is determined from multiple functional sections according to at least one air treatment method and its treatment sequence in the air treatment strategy corresponding to the target air state area. The sequence of the at least one initial functional section in the air conditioner is consistent with the treatment sequence of at least one air treatment method in the air treatment strategy corresponding to the target air state area, and the air treatment methods of the at least one initial functional section respectively constitute the at least one air treatment method.

[0139] For example: The functional sections of the air conditioner are sorted from front to back as: the first heating section, the surface cooler section, the second heating section, and the humidification section. At least one air treatment method and its treatment sequence in the air treatment strategy corresponding to the target air state area are: first surface cooling and dehumidification and then heating, then the at least one initial functional section is: the surface cooler section and the second heating section.

[0140] In the above 2014, according to the most energy-saving air treatment path, at least one air treatment path section that each initial functional section needs to be responsible for is determined; the air state at the end of the air treatment path section that each initial functional section needs to be responsible for is used as the desired air state at the outlet of this initial functional section.

[0141] In the above 202, according to the air state at the start point and the air state at the end point of the air treatment path section that each initial functional section needs to be responsible for in the air treatment path, the control parameters of each initial functional section are determined. Among them, the air state at the end point of the air treatment path section that each initial functional section needs to be responsible for is also the desired air state at the outlet of each initial functional section.

[0142] In an example, the multiple functional sections include a first functional section; when the first functional section needs to be used, the first functional section is included in the at least one initial functional section. The desired air state at the outlet of the first functional section can be determined by using the first control model corresponding to the first functional section according to the air state at the start point and the air state at the end point of the air treatment path section that the first functional section needs to be responsible for. Among them, a mapping relationship between the air state at the inlet of the first functional section, the air state at the outlet, and the control parameters is established in the first control model corresponding to the first functional section. The specific implementation process can refer to the corresponding content in the above embodiments.

[0143] The specific implementation of the above 201, 202, and 203 can refer to the corresponding content in the above embodiments and will not be elaborated here.

[0144] In the technical solution provided by the embodiment of the present application, the expected air state at the outlet is set for each target functional section, and the control parameters of each target functional section are adjusted according to the expected air state at the outlet. That is to say, the technical solution provided by the embodiment of the present application decomposes the large target of air state requirements into multiple sub-targets, that is, the expected air state at the outlet of each target functional section. When each target functional section reaches its corresponding sub-target, it is equivalent to achieving the large target. In this way, it helps to shorten the system stabilization time.

[0145] After the air conditioner is started, it can continue to execute Figure 4 the corresponding control method, for example: execute once every preset time interval Figure 4 the corresponding control method.

[0146] It should be noted here that: for the content not detailed in each step of the method provided by the embodiment of the present application, reference can be made to the corresponding content in the above embodiments, and details will not be repeated here. In addition, in the method provided by the embodiment of the present application, in addition to the above steps, it may also include other parts or all of the steps in the above embodiments. For specific reference, see the corresponding content in the above embodiments, and details will not be repeated here.

[0147] Figure 8a shows a structural block diagram of the control system provided by the embodiment of the present application. As Figure 8a shown, the control system includes an air conditioner 801 and a control device 802; the air conditioner 801 includes: an air conditioner air inlet, an air conditioner air outlet, and a plurality of functional sections located between the air conditioner air inlet and the air conditioner air outlet;

[0148] The control device 802 is configured to: determine at least one target functional section currently required to be used and the expected air state at the outlet of each target functional section according to the air state requirement at the air conditioner air outlet and the air state at the inlet of each functional section in the plurality of functional sections; determine the control parameters of each target functional section according to the expected air state at the outlet of each target functional section in the at least one target functional section; and control each target functional section according to the control parameters of each target functional section in the at least one target functional section.

[0149] For the processing procedures of the above air conditioner and control device, reference can be made to the corresponding content in the above embodiments, and details will not be repeated here.

[0150] In actual application, air state sensors can be set at the entrances of each functional section in the air conditioner, such as: air humidity sensors, relative air humidity sensors, and so on. In addition, air state sensors can also be set at the air outlet of the air conditioner. The air state at the entrance of each functional section can be detected by the air state sensors at the entrances of each functional section. Usually, each functional section corresponds to an actuator. Controlling the above-mentioned target functional sections is also to control the actuators corresponding to the target functional sections.

[0151] In a specific example, as Figure 8b shown, the above control system may further include: a data middle platform 804 located in the central computer room, a programmable logic controller (PLC) 805, and a switch 803. The above PLC 805 is connected to the above air conditioner 801, sensor 806, and actuator 807; the PLC 805, data middle platform 804, and the above control device 802 are connected through the switch 803. Among them, the sensor includes the above air state sensor. The above control system may include: multiple production lines. Each production line includes its own air conditioner, air state sensor, actuator, and PLC. Note: The sensors and actuators inside the production line transmit data information to each other through the network with the PLC inside it. The control device and the PLC are connected through the switch in the industrial Ethernet. The central computer room where the data middle platform is located is connected to this switch in the form of optical fiber, so that the control device at the edge can communicate data information with the data middle platform. Each production line includes 1 fresh air conditioner and 2 circulating air conditioners. The fresh air conditioner is responsible for the air conditioning of the area where personnel operate in the painting workshop. The fresh air conditioner is responsible for the air conditioning of the area where personnel operate in the painting workshop, and the circulating air conditioner is responsible for the air conditioning of the non-personnel operation area in the painting workshop.

[0152] In the embodiment of the present application, the data middle platform is responsible for collecting the production plan data of the production operation management platform, and the data center is also responsible for regularly obtaining the data stored by the control device at the edge section within a period of time and storing it for a long time. As Figure 8cAs shown in the figure, the control device 802 at the edge end includes a data acquisition module 8022 and a relational database 8023. Among them, the relational database may include a MySQL database. The data acquisition module 8022 has functions such as supporting multiple general protocols for data acquisition and distribution, data trend query, and real-time data alarm. The data acquisition module 8022 can obtain relevant data required from the PLC, perform preprocessing and then save it locally, and regularly upload the locally saved data to the data middle platform for storage. The relational database 8023 in the control device 802 is responsible for synchronizing the production plan data obtained from the data middle platform 804 and saving it locally. The data acquisition module 8022 is also used to send data to the PLC (for the purpose of controlling relevant actuators). The above control module 8021 includes two parts: an offline algorithm and an online algorithm. The call period of the offline algorithm is at intervals of weeks or months. The algorithm obtains data from the data middle platform, uses the data to train the control models corresponding to each functional segment, and generates corresponding model files for storage locally; the online algorithm obtains the model files and obtains the latest data from the data acquisition module in real time, and performs scheduling at the second level. The results of the online algorithm are also stored in the relational database 8023 and the data acquisition module 8022 in real time.

[0153] The above control system involves an online algorithm data link, an offline algorithm data link, and a visualization data link. The data sources in the online algorithm data link are composed of two parts, the air-conditioning PLC system and the data middle platform. The air-conditioning PLC system aggregates all equipment and sensor data related to the air conditioner, which is collected by the data acquisition system and stored in the control device. The data middle platform is responsible for obtaining production plan data from the external production operation management platform and pushing it to the MySQL database in the air-conditioning equipment in real time. The online algorithm in the control module reads the data stored in the data acquisition system and the production plan in the MySQL database, performs algorithm calculations, outputs algorithm results, and writes them back to the data acquisition system and the MySQL database for storage. Finally, the data acquisition system writes back some algorithm result data to the PLC through the OPC UA (Unified Architecture) protocol. In the offline algorithm data link, the data middle platform is the gathering point for all data, including the air-conditioning historical data and historical production plan data regularly synchronized from the data acquisition system. The offline algorithm in the control module will directly obtain the required historical data from the data middle platform through the HIVE interface, perform algorithm calculations and model training, generate model files, and store them in the control device for use by the real-time algorithm. In the visualization data link, the control system of the display device obtains information from the data acquisition module and the MySQL database in the control device and displays it externally.

[0154] In one example, the switching logic for adding and switching between the control method provided in this application embodiment and the PID control method can be implemented in the PLC through a switching switch.

[0155] The offline algorithm can also generate two models: an air-conditioning load prediction model and a heating, ventilation, and air-conditioning (HVAC) simulation model, which are stored in the control device in the form of model files.

[0156] In addition, the above control system may further include: a visualization display device (not shown); the visualization display device is connected to the control device 802 and is used to obtain data from the data acquisition module 8022 and the relational database 8023 of the control device 802 and perform visualization display, such as: monitoring and displaying the operating status of the air conditioner, displaying the internal variable values of the air conditioner, displaying the control mode switching, recording and displaying the algorithm logs, and so on.

[0157] Note: The above control device 802 is deployed at the edge side, that is, the industrial site. Therefore, the above control device 802 can be referred to as an edge device.

[0158] In one example, as Figure 8c shown, the control device 802 may include a control module 8021; the control module 8021 is specifically used for:

[0159] Determine the target air state area to which the air state at the entrance of the first functional section belongs from multiple air state areas; the multiple air state areas are divided according to the air state requirements; different air state areas correspond to different air treatment strategies;

[0160] Determine whether the first functional section needs to be used according to the air treatment strategy corresponding to the target air state area;

[0161] If the first functional section needs to be used, determine the most energy-efficient air treatment path required to change the air state at the entrance of the first functional section to meet the air state requirements according to the air treatment strategy corresponding to the target air state area;

[0162] Determine the desired air state at the exit of the first functional section according to the most energy-efficient air treatment path.

[0163] Among them, the first target functional section may include the first functional section; the control module 8021 may have built-in control models corresponding to each of the multiple functional sections; the control models are partially trained through the offline algorithm.

[0164] Correspondingly, the control module 8021 is specifically used for:

[0165] According to the air state at the starting point of the air treatment path segment and the desired air state at the outlet of the first functional segment, the control parameters of the first functional segment are determined by using the first control model corresponding to the first functional segment;

[0166] A mapping relationship among the air state at the inlet of the first functional segment, the air state at the outlet, and the control parameters is established in the first control model.

[0167] Among them, the control module may specifically include an industrial control optimization software client, which can realize the above functions by interacting with the cloud to improve the control performance of the above control device.

[0168] It should be noted here that for the content not detailed in the specific implementation process of each unit in the system provided in the embodiments of the present application, reference may be made to the corresponding content in the above embodiments, which will not be elaborated here.

[0169] In practical applications, the air-conditioning hardware of the painting and spraying booth mainly consists of a first heating section (usually the first heating section provides heat energy by a burner), a surface cooling section, a humidifying section, a second heating section, a fan section, a multi-stage filtration section, etc. Among them, the first heating section, the surface cooling section, the humidifying section, the second heating section and their corresponding PIDs form a stable temperature and humidity control system. The present invention proposes to use the psychrometric chart to characterize the temperature and humidity relationship in different seasons, and proposes different air control strategies (specifically, psychrometric control strategies) corresponding to different air state regions. In this way, under different environmental conditions, corresponding air treatment paths are adopted. In addition, a deep belief network is introduced to process the acquired sensor data, and temperature and humidity influence models corresponding to different functional segments are established, so that prediction models corresponding to each functional segment of the air conditioner can be established according to different external environments, and then control quantities are issued to complete the temperature and humidity control of the air-conditioning system.

[0170] For different working conditions (i.e., external environments), different psychrometric control strategies are adopted for control. The traditional controller is PID control, and the control switching during seasonal changes is relatively cumbersome. The traditional control method usually has a relatively long debugging period. The present application proposes to obtain optimized control parameters through a deep learning model, and then perform real-time adjustment on each actuator unit of the air-conditioning system to achieve the purpose of controlling temperature and humidity. The deep learning model processes a large amount of collected data in a timely and effective manner, and extracts relevant features to judge and predict the changes in temperature and humidity.

[0171] Based on the temperature and humidity control method proposed in the present application, a data learning and training platform is established, and the real-time feedback values of the temperature and humidity in the system environment are transmitted into the data learning and training platform in real time. Compared with PID control, the control method proposed in the present application can reach the steady state range faster both in terms of temperature and humidity, and has a smaller overshoot, reducing energy consumption.

[0172] Figure 9 shows a schematic structural diagram of an electronic device provided by an embodiment of the present application. As Figure 9 shown, the electronic device includes a memory 1101 and a processor 1102. The memory 1101 can be configured to store various other data to support operations on the electronic device. Examples of such data include instructions for any application or method for operating on the electronic device. The memory 1101 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0173] The memory 1101 is used to store programs;

[0174] The processor 1102 is coupled to the memory 1101 and is used to execute the programs stored in the memory 1101 to implement the methods provided by the above method embodiments.

[0175] Furthermore, as Figure 9 shown, the electronic device further includes: a communication component 1103, a display 1104, a power supply component 1105, an audio component 1106 and other components. Figure 9 Only some components are schematically shown in Figure 9 and it does not mean that the electronic device only includes

[0176] the components shown.

[0177] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0178] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0179] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of each embodiment of the present application.

Claims

1. A control method for an air conditioner, characterized in that, The air conditioner includes: an air inlet of the air conditioner, an air outlet of the air conditioner, and a plurality of functional segments located between the air inlet and the air outlet of the air conditioner; The method includes: Based on the air state requirements at the air outlet of the air conditioner and the air states at the inlets of the respective functional segments among the plurality of functional segments, determining at least one target functional segment that needs to be used currently and the desired air states at the outlets of the respective target functional segments, including: determining the target air state region to which the air state at the inlet of the first functional segment belongs from among a plurality of air state regions; the plurality of air state regions are obtained by dividing according to the air state requirements; the at least one air treatment method and its treatment sequence involved in the most energy-efficient air treatment path for the air state within the same air state region to change to meet the air state requirements are the same, and the at least one air treatment method involved in the most energy-efficient air treatment path for the air states in different air state regions to change to meet the air state requirements is different, the first functional segment is one of the plurality of functional segments; when there is an air treatment method corresponding to the first functional segment among the at least one air treatment method involved in the most energy-efficient air treatment path for the air state in the target air state region to change to meet the air state requirements, determining that the first functional segment needs to be used; if the first functional segment needs to be used, then according to the at least one air treatment method and its treatment sequence involved in the most energy-efficient air treatment path for the air state in the target air state region to change to meet the air state requirements, determining the target most energy-efficient air treatment path required for the air state at the inlet of the first functional segment to change to meet the air state requirements; determining the air state at the end of the air treatment path segment that the first functional segment needs to be responsible for in the target most energy-efficient air treatment path as the desired air state at the outlet of the first functional segment; Based on the desired air states at the outlets of the respective target functional segments among the at least one target functional segment, determining the control parameters of the respective target functional segments; Controlling the respective target functional segments according to the control parameters of the respective target functional segments among the at least one target functional segment.

2. The method according to claim 1, wherein Based on the air state requirements at the air outlet of the air conditioner and the air states at the inlets of the respective functional segments among the plurality of functional segments, determining at least one target functional segment that needs to be used currently and the desired air states at the outlets of the respective target functional segments, including: After the air conditioner is started, at every preset time interval, based on the air state requirements at the air outlet of the air conditioner and the air states at the inlets of the respective functional segments among the plurality of functional segments, determining at least one target functional segment that needs to be used currently and the desired air states at the outlets of the respective target functional segments.

3. The method according to claim 1 or 2, characterized in that, The at least one target functional segment includes the first functional segment; Based on the desired air states at the outlets of the respective target functional segments among the at least one target functional segment, determining the control parameters of the respective target functional segments, including: According to the air state at the starting point of the air treatment path segment and the desired air state at the outlet of the first functional segment, use the first control model corresponding to the first functional segment to determine the control parameters of the first functional segment; A mapping relationship between the air state at the inlet of the first functional segment, the air state at the outlet, and the control parameters is established in the first control model.

4. The method according to claim 3, wherein The first control model is obtained based on a first deep learning model; The training process of the first deep learning model is as follows: Obtain training samples and their training labels; the training samples include: the air state at the inlet of the first target functional segment at a historical moment and the control parameters of the first target functional segment at the historical moment; the training labels include: the air state at the outlet of the first target functional segment at the historical moment; Use the training samples and their training labels to train the first deep learning model.

5. The method according to claim 1 or 2, characterized in that, Air state sensors are provided at the inlets of the functional segments in the air conditioner; Determining the air state at the inlet of each functional segment among the multiple functional segments includes: Obtain the detection values of the air state sensors at the inlets of the respective functional segments; According to the detection values, determine the air state at the inlet of each functional segment.

6. The method according to claim 1 or 2, characterized in that, The air state requirement includes: setting an air state range.

7. The method according to claim 1 or 2, characterized in that, It also includes: According to the at least one target functional segment, determine at least one functional segment among the multiple functional segments that does not need to be used; Control the actuators of the at least one functional segment to perform a closing operation.

8. A control system, characterized in that, It includes: An air conditioner and a control device; the air conditioner includes: an air conditioner air inlet, an air conditioner air outlet, and multiple functional segments located between the air conditioner air inlet and the air conditioner air outlet; The control device is used for: Based on the air state requirements at the air outlet of the air conditioner and the air states at the inlets of the respective functional segments among the multiple functional segments, determine at least one target functional segment that needs to be used currently and the desired air states at the outlets of the respective target functional segments, including: determining the target air state region to which the air state at the inlet of the first functional segment belongs from among multiple air state regions; the multiple air state regions are obtained by dividing according to the air state requirements; the at least one air treatment method and its treatment sequence involved in the most energy-efficient air treatment path for the air state change within the same air state region to meet the air state requirements are the same, and the at least one air treatment method involved in the most energy-efficient air treatment path for the air state change in different air state regions to meet the air state requirements is different, and the first functional segment is one of the multiple functional segments; when there is an air treatment method corresponding to the first functional segment among the at least one air treatment method involved in the most energy-efficient air treatment path for the air state change in the target air state region to meet the air state requirements, determine that the first functional segment needs to be used; if the first functional segment needs to be used, then according to the at least one air treatment method and its treatment sequence involved in the most energy-efficient air treatment path for the air state change in the target air state region to meet the air state requirements, determine the target most energy-efficient air treatment path required for the air state change from the air state at the inlet of the first functional segment to meet the air state requirements; determine the air state at the end point of the air treatment path segment that the first functional segment needs to be responsible for in the target most energy-efficient air treatment path as the desired air state at the outlet of the first functional segment; Based on the desired air states at the outlets of the respective target functional segments among the at least one target functional segment, determine the control parameters of the respective target functional segments; Control the respective target functional segments according to the control parameters of the respective target functional segments among the at least one target functional segment.

9. An electronic device, characterized in that, Including: A memory and a processor, wherein, The memory is used for storing programs; The processor is coupled to the memory and is used for executing the program stored in the memory to implement the control method according to any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a computer, it can implement the control method according to any one of claims 1 to 7.

Images