Air conditioning system

Abstract

The invention provides an air conditioning system which comprises an indoor unit and an outdoor unit. The processing device is provided with a generation part, an estimation part and an intervention part; wherein the generation part is configured to obtain at least one operation parameter of the air conditioning system, and the presumption part is configured to construct a prediction model, presume the relative relation between the current demand load of the indoor unit and the output capacity of the outdoor unit according to the operation state parameter of the indoor unit and the environment parameter; the intervention part is configured to generate a corresponding intervention control strategy according to the degree that the efficiency level of the indoor unit deviates from a reference intervention level when the efficiency level of one indoor unit is inferior to the reference efficiency level, and the intervention control strategy is used for performing intervention control on the indoor unit according to the degree that the efficiency level of the indoor unit deviates from the reference intervention level. Controlling at least one operating parameter of the air conditioning system in an intervening manner; according to the invention, the system can carry out self-adaptive intervention on at least one operation parameter so as to keep the performance within an expected range, so that the energy consumption is reduced while the performance is optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioning, and in particular to an air conditioning system. Background Art

[0002] Air conditioning systems consume energy to cool the air within a building. The energy consumption of an air conditioning system depends on several factors, including the size of the building, the efficiency of the various components of the air conditioning system, the set temperature, the building's climate, and user preferences. Central air conditioning systems generally use more energy than other types of air conditioning systems, such as window units or portable air conditioners. This is because central air conditioning systems are designed to cool larger spaces and typically have more powerful compressors and fans to circulate the cooled air throughout the building.

[0003] The prior art uses various methods to control the energy consumption of air conditioning systems, especially central air conditioning systems. For example, when no one is in a building, the set temperature is temporarily set to a set range with a large deviation range, or a controller is used to automatically adjust the temperature according to the building's conditions. For example, Chinese patent application (CN115437302A) discloses a large-scale central air conditioning AI intelligent control method, which includes: setting a data update frequency, and based on the data update frequency, controlling a preset sensor to collect indoor and outdoor environmental data, and transmitting the collected indoor and outdoor environmental data to a control terminal; analyzing the indoor and outdoor environmental data based on the control terminal, and determining a target control strategy for the central air conditioning based on the analysis results; generating control instructions based on the target control strategy, and dispatching the control instructions to corresponding controls for control, and feeding back the control results to a management terminal in real time for recording.

[0004] However, for central air-conditioning systems, under the same refrigerant cycle, if some indoor units require increased output capacity and some indoor units require reduced output capacity, if the algorithm is not accurate enough or cannot adapt to complex environmental changes, the generated control strategy may not be intelligent enough, ultimately leading to confusion in the outdoor unit output capacity and higher energy consumption. Summary of the Invention

[0005] In order to avoid the problem that the algorithm is not accurate enough or cannot adapt to complex environmental changes, resulting in the generated control strategy not being intelligent enough, and ultimately leading to chaotic output capacity of the outdoor unit and high energy consumption, this application designs and provides an air-conditioning system.

[0006] In one or more embodiments of the present application, an air conditioning system includes at least one indoor unit and an outdoor unit fluidly connected to the indoor unit.

[0007] In one or more embodiments of the present application, the air-conditioning system further includes a processing device; the processing device includes a generation unit, an estimation unit, and an intervention unit; wherein the generation unit is configured to obtain at least one operating parameter of the air-conditioning system, the estimation unit is configured to construct a prediction model, and estimate the relative relationship between the current demand load of the indoor unit and the output capacity of the outdoor unit based on the operating status parameters and environmental parameters of the indoor unit, and generate the efficiency level of each indoor unit based on the relative relationship, and the intervention unit is configured to generate a corresponding intervention control strategy according to the degree to which the indoor unit efficiency level deviates from the baseline intervention level when there is an indoor unit whose efficiency level is worse than the baseline efficiency level, so as to intervene and control at least one operating parameter of the air-conditioning system.

[0008] In one or more embodiments of the present application, the reference intervention level is a reference for evaluating whether the demand load of the indoor unit is too low.

[0009] In one or more embodiments of the present application, the operating parameters include at least one or more of: condensing temperature, evaporating temperature, throttling device opening, compressor frequency, compressor start / stop status, indoor fan start / stop status, indoor fan speed, outdoor fan start / stop status and outdoor fan speed.

[0010] In one or more embodiments of the present application, the indoor unit state parameters include at least one or more of: indoor ambient temperature, indoor ambient humidity, indoor location parameters, and indoor personnel parameters.

[0011] In one or more embodiments of the present application, the environmental parameters include at least one or more of: outdoor ambient temperature, outdoor ambient humidity, weather type parameters, and geographical location parameters.

[0012] In one or more embodiments of the present application, the processing device includes a generation unit, an estimation unit, an optimization unit and a compensation unit; wherein the generation unit is configured to obtain at least one operating parameter of the air-conditioning system, the estimation unit is configured to estimate the relative relationship between the current demand load of the indoor unit and the output capacity of the air-conditioning system based on the indoor unit state parameters and environmental parameters, and generate the performance level of each indoor unit based on the relative relationship; the optimization unit is configured to generate an optimization control strategy based on the indoor unit performance level, and the optimization control strategy can reduce the marginal energy consumption loss caused by the preset temperature compensation; the compensation unit is configured to execute the optimization control strategy to optimize and control at least one operating parameter of the air-conditioning system.

[0013] In one or more embodiments of the present application, the estimation unit is configured to construct a prediction model, taking the indoor unit state parameters and environmental parameters as input, to estimate the relative relationship between the current demand load of the indoor unit and the output capacity of the outdoor unit; the relative relationship between the current demand load of the indoor unit and the output capacity of the air-conditioning system is passed as input to a classifier, and the classifier is configured to generate an efficiency level of the indoor unit based on the relative relationship.

[0014] In one or more embodiments of the present application, the optimization unit is further configured to construct an optimization model, taking the indoor unit efficiency level, indoor unit status parameters and environmental parameters as input, and outputting optimized temperature compensation parameters; the compensation unit is configured to optimize and control at least one operating parameter of the air-conditioning system based on the optimized temperature compensation parameters.

[0015] In one or more embodiments of the present application, the operating parameters include at least one or more of: condensing temperature, evaporating temperature, throttling device opening, compressor frequency, compressor start / stop status, indoor fan start / stop status, indoor fan speed, outdoor fan start / stop status and outdoor fan speed.

[0016] In one or more embodiments of the present application, the indoor unit state parameters include at least one or more of: indoor ambient temperature, indoor ambient humidity, indoor location parameters, and indoor personnel parameters.

[0017] In one or more embodiments of the present application, the environmental parameters include at least one or more of: outdoor ambient temperature, outdoor ambient humidity, weather parameters, and geographical location parameters.

[0018] The present invention generates an efficiency level for each indoor unit, dynamically evaluates the performance of each indoor unit in real time, and further uses a prediction model to intelligently infer the relative relationship between the current demand load of the indoor unit and the output capacity of the outdoor unit based on the indoor unit operating status parameters and environmental parameters. This improves the system's adaptability to changes and enables the system to adaptively intervene in at least one operating parameter to keep performance within the expected range, thereby reducing energy consumption while optimizing performance.

[0019] Other features and advantages of the present invention will become more apparent after reading the detailed description of the present invention in conjunction with the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0021] Figure 1 A schematic diagram of the structure of an air-conditioning system provided in one or more embodiments of the present application;

[0022] Figure 2 A schematic diagram of the structure of an air-conditioning system provided in one or more embodiments of the present application;

[0023] Figure 3 A schematic diagram of the structure of an air-conditioning system provided in one or more embodiments of the present application;

[0024] Figure 4 A schematic block diagram of the structure of a processing device in an air-conditioning system provided in one or more embodiments of the present application;

[0025] Figure 5 A schematic block diagram of the structure of a processing device in an air-conditioning system provided in one or more embodiments of the present application;

[0026] Figure 6 A flow chart of an air conditioning system provided for one or more embodiments of the present application;

[0027] Figure 7 A flow chart of an air conditioning system provided for one or more embodiments of the present application;

[0028] Figure 8 A flow chart of an air conditioning system provided for one or more embodiments of the present application;

[0029] Figure 9 This is the compressor operating frequency curve when a traditional air-conditioning system is running;

[0030] Figure 10 The compressor operating frequency curve when the air-conditioning system disclosed in this application is in operation;

[0031] Figure 11 This is the opening curve of an indoor electronic expansion valve when a traditional air-conditioning system is running;

[0032] Figure 12 The opening curve of the same indoor electronic expansion valve when the air-conditioning system disclosed in this application is in operation;

[0033] Figure 13 A schematic block diagram of the structure of a processing device in an air-conditioning system provided in one or more embodiments of the present application;

[0034] Figure 14 A flow chart of an air conditioning system provided for one or more embodiments of the present application;

[0035] Figure 15A flow chart of an air conditioning system provided for one or more embodiments of the present application;

[0036] Figure 16 A flow chart of an air conditioning system provided for one or more embodiments of the present application;

[0037] In the figure: 10, outdoor unit; 101, compressor; 102, oil separator; 103, gas-liquid separator; 104, switching valve; 105, outdoor heat exchanger; 106, indoor heat exchanger; 106-1, indoor heat exchanger; 106-2, indoor heat exchanger; 107, outdoor electronic expansion valve; 108, indoor electronic expansion valve; 108-1, indoor electronic expansion valve; 108-2, indoor electronic expansion valve; 109, liquid side piping; 110, gas side piping; 111, oil return capillary; 112, liquid side stop valve; 113, gas side stop valve; 114, outdoor fan; 1 15. Liquid storage tank; 20. Indoor unit; 20-1. Indoor unit; 20-2. Indoor unit; 200. Processing device; 201. Generation unit; 202. Estimation unit; 203. Intervention unit; 301. Processor; 302. Non-volatile memory; 303. Volatile memory; 304. Display device; 305. Operating device; 306. Communication interface; 307. Drive device; 308. Bus; 309. Storage medium; 310. Storage medium; 201. Processing device; 211. Generation unit; 212. Estimation unit; 213. Optimization unit; 214. Compensation unit. DETAILED DESCRIPTION

[0038] The following will be combined with the drawings in the embodiments of this application to clearly and completely describe the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0039] In the description of this application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on this application.

[0040] The terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of the technical features indicated. Therefore, features specified as "first" or "second" may explicitly or implicitly include one or more of such features. In the description of this application, unless otherwise specified, "plurality" means two or more.

[0041] In the description of this application, it should be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood broadly. For example, they may refer to fixed, detachable, or integral connections; mechanical or electrical connections; direct or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in this application based on the specific circumstances.

[0042] In the present invention, unless otherwise expressly specified or limited, a first feature being "above" or "below" a second feature may include the first and second features being in direct contact, or may include the first and second features being in contact not directly but through another feature therebetween. Moreover, a first feature being "above," "above," and "above" a second feature includes the first feature being directly above and obliquely above the second feature, or simply means that the first feature is at a higher level than the second feature. A first feature being "below," "below," and "below" a second feature includes the first feature being directly below and obliquely below the second feature, or simply means that the first feature is at a lower level than the second feature.

[0043] The disclosure below provides many different embodiments or examples for realizing different structures of the present invention. In order to simplify the disclosure of the present invention, the components and settings of specific examples are described below. Of course, they are merely examples and are not intended to limit the present invention. In addition, the present invention may repeat reference numerals and reference letters in different examples, and such repetition is for the purpose of simplicity and clarity and does not in itself indicate the relationship between the various embodiments and settings discussed. In addition, the present invention provides examples of various specific processes and materials, but those of ordinary skill in the art will appreciate the application of other processes and the use of other materials.

[0044] Figure 1 It is a structural schematic diagram of an air-conditioning system provided by one or more specific embodiments of the present invention.

[0045] Air conditioning systems are installed in buildings such as apartments, hotels, office buildings, and residences. In one or more embodiments of the present invention, the air conditioning system is a central air conditioning system that can provide a consistent comfortable environment for the entire building, rather than just for a single room or area.

[0046] Air conditioning systems incorporate a refrigeration cycle. This cycle uses a compressor, condenser, throttling device, and evaporator. The refrigeration cycle involves a series of processes—compression, condensation, expansion, and evaporation—to cool or heat the indoor space.

[0047] In principle, low-temperature, low-pressure refrigerant enters compressor 101, which compresses it into high-temperature, high-pressure refrigerant gas and discharges the compressed refrigerant gas. The discharged refrigerant gas flows into the condenser, which condenses the compressed refrigerant into a liquid phase, releasing heat into the surrounding environment through the condensation process.

[0048] The throttling device expands the high-temperature, high-pressure liquid refrigerant condensed in the condenser into a low-pressure liquid refrigerant. The evaporator evaporates the refrigerant expanded in the throttling device and returns the low-temperature, low-pressure refrigerant gas to the compressor 101. The evaporator achieves a cooling effect by utilizing the latent heat of evaporation of the refrigerant to exchange heat with the material to be cooled. Throughout this cycle, the air conditioning system can regulate the temperature of the indoor space.

[0049] In one or more embodiments of the present application, the throttling device includes an indoor electronic expansion valve 108 .

[0050] In one or more embodiments of the present application, the air conditioning system includes an outdoor unit 10 and an indoor unit 20 connected to each other.

[0051] In one or more embodiments of the present application, the air conditioning system includes an outdoor unit 10 and a plurality of indoor units 20 connected to each other. Figure 1 An indoor unit (such as Figure 1 20), Figure 2 Two indoor units 20 are shown in FIG. Figure 1 20-1 and 20-2 in the figure), but in the present application, there is no particular limitation on the number of indoor units 20. More indoor units 20 can be arranged in one air conditioning system in the same manner as the indoor units 20 shown in the figure.

[0052] The indoor unit 20 and the outdoor unit 10 are connected by a liquid pipe 109 and a gas pipe 110. The liquid pipe 109 and the gas pipe 110 are used to allow the refrigerant to flow so that the refrigerant can form a refrigerant circuit and circulate therein.

[0053] In one or more embodiments of the present application, a liquid-side shutoff valve 112 is provided on the liquid-side piping 109 .

[0054] In one or more embodiments of the present application, a gas-side shutoff valve 113 is provided on the gas-side piping 110 .

[0055] The following describes the basic structure and functions of the outdoor unit 10. Using the same system architecture, the number of outdoor units 10 in the air conditioning system can be expanded to multiple units, each operating in a group. The outdoor unit 10 is configured to correspond to the outdoor electronic expansion valve 107.

[0056] In one or more embodiments of the present application, the outdoor unit 10 refers to the portion of the refrigeration cycle that includes the compressor 101 and the outdoor heat exchanger 105. The outdoor unit 10 can perform heating or cooling operations outdoors to provide energy to the indoor unit 20 for raising or lowering the indoor temperature. The outdoor unit 10 is also equipped with a gas-liquid separator 103, an outdoor fan 114, and a reversing valve.

[0057] In one or more embodiments of the present application, a liquid storage tank 115 may also be provided in the outdoor unit 10 .

[0058] In one or more embodiments of the present application, the outdoor unit 10 may also be provided with an oil separator 102. The oil separator 102 functions in the air conditioning system to separate lubricating oil from refrigerant. Since the compressor 101 requires lubricating oil to reduce friction and wear to ensure normal operation, and since the lubricating oil mixes with the refrigerant during operation, the oil separator 102 separates the lubricating oil from the refrigerant through physical separation (e.g., centrifugal force or gravity). The separated lubricating oil is recovered and recycled, while the refrigerant continues to flow.

[0059] In one or more embodiments of the present application, an oil return capillary 111 may also be provided in the outdoor unit 10. The function of the oil return capillary 111 in the air-conditioning system is to recover the lubricating oil and guide it back to the compressor 101; specifically, through the principles of adsorption and guidance, the deposited lubricating oil is recovered and guided into the lubrication system of the compressor 101, thereby realizing the recycling of the lubricating oil.

[0060] During heating operation, the outdoor unit 10 can form a refrigerant circuit for heating operation, which is connected in sequence from the liquid side piping 109 to the gas side piping 110 to the outdoor electronic expansion valve 107, the outdoor heat exchanger 105, the switching valve 104 (for example, the passage between the E port and the S port of the four-way valve), the gas-liquid separator 103, the compressor 101 and the switching valve 104 (for example, the passage between the D port and the C port of the four-way valve).

[0061] Under cooling operation, the outdoor unit 10 can form a refrigerant circuit for cooling operation, which is connected in sequence from the gas side piping 110 to the liquid side piping 109 with a switching valve 104 (for example, the passage between the C port and the S port of the four-way valve), a gas-liquid separator 103, a compressor 101, a switching valve 104 (for example, the passage between the D port and the E port of the four-way valve), an outdoor heat exchanger 105 and an outdoor electronic expansion valve 107.

[0062] Compressor 101 is configured to draw in and compress refrigerant to a high-temperature, high-pressure state. The suction side of compressor 101 is defined as the low-pressure side, and the discharge side of compressor 101 is defined as the high-pressure side. In heating mode, outdoor electronic expansion valve 107 is positioned toward the low-pressure side, while in cooling mode, it is positioned toward the high-pressure side. The speed of compressor 101 is variably controlled by an inverter.

[0063] The outdoor heat exchanger 105 is configured to function as a condenser in cooling operation and as an evaporator in heating operation. The outdoor heat exchanger 105 can exchange heat with the air guided by the outdoor fan 114 to cause the refrigerant flowing in the outdoor heat exchanger 105 to undergo a phase change (condensation or evaporation).

[0064] In one or more embodiments of the present application, the speed of the outdoor fan 114 can be controlled to change the flow rate of air heat exchanged with the outdoor heat exchanger 105 by adjusting the speed. The outdoor fan 114 can be an axial flow fan, a cross flow fan, or other optional fan types. The outdoor fan 114 is disposed near the outdoor heat exchanger 105.

[0065] The gas-liquid separator 103 is provided on the suction side of the compressor 101 and is a shell-shaped component for separating the gas and liquid of the refrigerant and storing the separated refrigerant. The gas-liquid separator 103 can store excess refrigerant.

[0066] The following describes the structure and function of the indoor units 20, taking two indoor units 20-1 and 20-2 as examples. The following description is also applicable to the other indoor units 20.

[0067] The indoor unit 20 performs cooling operation or heating operation using the energy generated by the outdoor unit 10 to increase the indoor temperature or to reduce the indoor temperature. Figure 2 As shown, the indoor unit 20 - 1 includes a connected indoor heat exchanger 106 - 1 and an indoor electronic expansion valve 108 - 1 , and the indoor unit 20 - 2 includes a connected indoor heat exchanger 106 - 2 and an indoor electronic expansion valve 108 - 2 .

[0068] The indoor heat exchanger 106 - 1 and the indoor heat exchanger 106 - 2 function as condensers in the heating operation and function as evaporators in the cooling operation.

[0069] The indoor electronic expansion valve 108 - 1 and the indoor electronic expansion valve 108 - 2 are configured to reduce the pressure of the refrigerant and expand it.

[0070] The openings of the outdoor electronic expansion valve 107, the indoor electronic expansion valve 108-1 and the indoor electronic expansion valve 108-2 are all adjustable to control the flow and pressure of the refrigerant. For example, the opening can be adjusted by the number of steps of the motor inside the electronic expansion valve. The number of steps refers to the fixed angle that the motor rotates each time it runs.

[0071] The indoor unit 20-1 is further provided with an indoor fan 115-1, and the indoor unit 20-2 is further provided with an indoor fan 115-2. The indoor fans 115-1 and 115-2 may be axial flow fans, cross flow fans, or other optional fan types.

[0072] In one or more embodiments of the present application, Figure 3 As shown, the air conditioning system further includes a processing device 200 .

[0073] Figure 4 This is a block diagram showing the structure of the hardware structure of the processing device 200. The processing device 200 includes components such as a processor 301, a volatile memory 303, a non-volatile memory 302, a display device 304, an operating device 305, a communication interface 306, and a drive device 307, which are interconnected through a bus. The processor 301 can be a dedicated processor 301, a central processing unit (CPU), etc. The processor 301 can access the storage unit to execute instructions or applications stored in the storage unit to implement related functions. The display device is a display device used to display various information, the operating device is an operating device for receiving various operations, and the drive device is a hardware interrupt that interacts with the storage medium. In one or more embodiments of the present application, the storage medium (such as Figure 4 Storage media (such as CD-ROM, floppy disk, magneto-optical disk, etc.) include media that record information optically, electrically or magnetically. Figure 4 309) may also be a semiconductor memory such as ROM, flash memory, etc. that records information electrically.

[0074] The processing device 200 may be an outdoor controller in an outdoor unit of an air-conditioning system, for example, a system on board built based on an MCU.

[0075] The functional configuration of the processing device 200 will be described below with reference to the drawings.

[0076] In one or more embodiments of the present application, Figure 5 As shown, the processing device includes a generating unit 201, an estimating unit 202, and an intervening unit 203. Each of these components can be implemented by the processor 301 executing a program.

[0077] In one or more embodiments of the present application, the generating unit 201 is configured to obtain at least one operating parameter of the air-conditioning system.

[0078] In one or more embodiments of the present application, the generator 201 is configured to obtain a calculated compressor operating frequency. For example, the generator 201 may obtain the compressor operating frequency based on the total operating capacity of the indoor units and a corresponding correction coefficient (set constant), such as the solution disclosed in Chinese patent application (CN114198874A); or the compressor operating frequency may be calculated based on the total operating capacity of the enabled indoor units and the ratio of the total operating capacity to the nominal capacity of the outdoor unit; or the compressor operating frequency may be calculated based on the number of enabled indoor units in operation and the ratio of the total number of indoor units in operation to the total number of indoor units.

[0079] In one or more embodiments of the present application, the generating unit 201 is configured to obtain the indoor electronic expansion valve opening for fitting calculation, for example, when each sampling period arrives, data is obtained from the sensor unit to calculate the target subcooling and the actual subcooling, and the difference between the actual subcooling and the target subcooling is used as the subcooling difference, and the electronic expansion valve opening signal is adjusted according to the difference between the subcooling difference of this sampling period and the subcooling difference of the previous sampling period to control the opening of the indoor electronic expansion valve, such as the solution disclosed in the Chinese patent application (CN103486691A).

[0080] In one or more embodiments of the present application, the generating unit 201 is configured to simultaneously obtain the calculated compressor operating frequency and the indoor electronic expansion valve opening, or can also simultaneously obtain the calculated compressor operating frequency, the calculated indoor electronic expansion valve opening, the set indoor fan speed, etc.

[0081] In one or more embodiments of the present application, the generating unit 201 may also obtain operating parameters generated by other similar algorithms or methods.

[0082] The above-mentioned empirical formulas or empirical algorithms for calculating and setting the operating parameters are well known to those skilled in the art and are not the key points of protection of the present invention, so they will not be described in detail here.

[0083] The current demand load of the indoor unit is a dynamic parameter affected by multiple factors. For example, changes in the indoor set temperature, changes in the indoor and outdoor temperature difference, changes in indoor humidity, indoor and outdoor airflow conditions, indoor activity levels, indoor and outdoor shading conditions, changes in weather conditions and the use of heating equipment will all affect the load demand of the indoor unit. Traditional empirical formulas cannot reflect these dynamic changes. Although the existing hardware computing power can realize the dynamic calculation of operating parameters (compressor operating frequency), the response speed of the execution components (such as compressors and electronic expansion valves) cannot adapt to the changes in the dynamically calculated parameters. This leads to a mismatch between the current demand load and the output capacity of the outdoor unit in many cases, especially when the output capacity is greater than the demand load, causing the system to operate in a state of overheating or overcooling, wasting energy.

[0084] To solve this problem, in one or more embodiments of the present application, the estimation unit 02 is configured to construct a prediction model to estimate the relative relationship between the current demand load of the indoor unit and the output capacity of the outdoor unit based on the operating status parameters and environmental parameters of the indoor unit, and generate the efficiency level of each indoor unit based on the relative relationship.

[0085] In one or more embodiments of the present application, the processing device further includes an intervention unit 203. The intervention unit 203 is configured to, when the performance level of an indoor unit is lower than a baseline performance level, generate a corresponding intervention control strategy based on the degree to which the indoor unit performance level deviates from a baseline intervention level, so as to intervene in controlling at least one operating parameter of the air-conditioning system; wherein the baseline intervention level is a benchmark for evaluating whether the demand load of the indoor unit is too low.

[0086] For example, the baseline intervention level may be level 1. A larger value of the baseline intervention level indicates a greater degree of degradation deviation and more energy is wasted.

[0087] Figure 6 A flow chart of a processing device, specifically including the following Figure 6 Multiple steps shown.

[0088] Step S101: Build a prediction model.

[0089] Step S102: Estimate the relative relationship between the current required load of the indoor unit and the output capacity of the outdoor unit based on the indoor unit operation state parameters and environmental parameters.

[0090] Step S103: Generate the performance level of each indoor unit based on the relative relationship.

[0091] Step S104: Determine whether there is an indoor unit whose performance level is lower than the reference performance level.

[0092] Step S105: If there is an indoor unit whose performance level is worse than the benchmark performance level, a corresponding intervention control strategy is generated according to the degree to which the indoor unit performance level deviates from the benchmark intervention level.

[0093] Step S106: intervening to control at least one operating parameter of the air-conditioning system.

[0094] Step S107 : If there is no indoor unit whose performance level is worse than the reference performance level, the current control strategy is kept unchanged, for example, the control may be based on the operating parameters generated by the generating unit 201 .

[0095] The present invention generates an efficiency level for each indoor unit, dynamically evaluates the performance of each indoor unit in real time, and further uses a prediction model to intelligently infer the relative relationship between the current demand load of the indoor unit and the output capacity of the outdoor unit based on the indoor unit operating status parameters and environmental parameters. This improves the system's adaptability to changes and enables the system to adaptively intervene in at least one operating parameter to keep performance within the expected range, thereby reducing energy consumption while optimizing performance.

[0096] Figure 7 A flowchart for building a prediction model.

[0097] For example, data collection for the prediction model can be performed under experimental conditions (e.g. Figure 7 (as shown in step S201).

[0098] Each element of the collected data set may include the ID of the indoor unit, the switch status of the indoor unit, the number of enabled indoor units, the output capacity of the outdoor unit, the operating status parameters of the indoor unit, environmental parameters, and the relative relationship between the current demand load of the indoor unit and the output capacity of the outdoor unit; add time tags to generate a time series consisting of multiple elements.

[0099] Clean and preprocess the collected data sets, such as processing missing values ​​and outliers (such as Figure 7 (as shown in step S202).

[0100] In one or more embodiments of the present application, a regression model (such as linear regression, support vector regression) or a neural network can be selected as a prediction model (such as Figure 7 The processed data set is divided into a training set, a test set, and a validation set.

[0101] The training set is used to train the prediction model, and the test set is used to evaluate the generalization performance of the prediction model. The selected prediction model is trained using the training set, and the model parameters are adjusted to best fit the training data. The performance of the model is evaluated using the test set, and the model is adjusted and optimized based on the evaluation results (e.g. Figure 7 (as shown in step S204).

[0102] Use the validation set to verify the trained prediction model (such as Figure 7 (as shown in step S205).

[0103] The prediction model can use the operating state parameters and environmental parameters of the indoor unit as input to estimate the relative relationship between the current demand load of the indoor unit and the output capacity of the outdoor unit (such as Figure 7 Alternatively, the outdoor unit output capacity, the indoor unit operating state parameters and the environmental parameters may be used as input to estimate the relative relationship between the current demand load of the indoor unit and the outdoor unit output capacity.

[0104] The relative relationship can be expressed in the form of a statistical indicator, such as a correlation coefficient, a ratio, etc., and its specific mathematical expression is not limited here.

[0105] Using the trained prediction model, predictions are made based on the indoor unit operating status parameters and environmental parameters to obtain inferred prediction results of the relevant relationships.

[0106] In one or more embodiments of the present application, the efficiency level of each indoor unit may be generated by comparison with a set threshold.

[0107] In one or more embodiments of the present application, the efficiency level of each indoor unit may be generated by a classifier. Figure 8 This is an example of using a classifier to generate the efficiency level of each indoor unit. Figure 8 As shown in the figure, the relative relationship between the current demand load of the indoor unit and the output capacity of the outdoor unit estimated by the prediction model is used as the input feature of the classifier (such as Figure 8 As shown in step S301), the indoor unit performance level is used as the target label (such as Figure 8 As shown in step S302), train a classifier (such as Figure 8 As shown in step S303 in FIG, the output of the prediction model is mapped to different performance levels (such as Figure 8 For example, based on historical data or expert knowledge, a corresponding performance level label is assigned to each indoor unit, which can be a discrete level or a continuous level.

[0108] In one or more embodiments of the present application, the operating parameters include at least one or more of: condensing temperature, evaporating temperature, throttling device opening, compressor frequency, compressor start / stop status, indoor fan start / stop status, indoor fan speed, outdoor fan start / stop status and outdoor fan speed.

[0109] In one or more embodiments of the present application, the operating parameter is compressor frequency.

[0110] For example, with five performance levels, performance level 1 is the baseline performance level. If an indoor unit's performance level falls below the baseline performance level (e.g., any one of performance levels 2 to 5), the intervention unit 203 generates a corresponding intervention control strategy based on the degree to which the performance level deviates from the baseline intervention level. This strategy intervenes to control at least one operating parameter of the air conditioning system, such as correcting the calculated frequency during the startup phase of the compressor the next time it is started.

[0111] Take the following table as an example:

[0112]

[0113] Here, a and b are constants less than 1, and a is greater than b.

[0114] Therefore, through intervention control, the startup frequency of the secondary cycle is weakened to reduce the output capacity provided by the air-conditioning system and avoid excessive waste.

[0115] If an activated indoor unit is added to the air-conditioning system, the intervention unit 203 generates a corresponding intervention control strategy based on the degree to which the performance level deviates from the baseline intervention level to intervene in and control at least one operating parameter of the air-conditioning system, such as the compressor operating frequency after adding an activated indoor unit.

[0116] Take the following table as an example:

[0117]

[0118] Here, a and b are constants less than 1, and a is greater than b.

[0119] Figure 9 This is the compressor operating frequency curve when the traditional air-conditioning system is running. Figure 10 This is the compressor operating frequency curve when the air conditioning system disclosed in this application is running. Figure 9 and Figure 10 It can be seen that in the air-conditioning system provided in this application, the compressor frequency is relatively stable throughout the entire cycle, without frequent start-stop shocks, and the start-up frequency of each round is effectively weakened, which reduces the overall system energy consumption while increasing the life of the compressor.

[0120] In one or more embodiments of the present application, the operating parameter is the opening degree of the indoor electronic expansion valve.

[0121] Take the following table as an example:

[0122]

[0123] Here, a and b are constants less than 1, and a is greater than b.

[0124] Figure 11 This is the opening curve of an indoor electronic expansion valve when a traditional air-conditioning system is running. Figure 12 This is the opening curve of the same indoor electronic expansion valve when the air conditioning system disclosed in this application is running. Figure 11 and Figure 12 It can be seen that in the air-conditioning system provided in the present application, the opening fluctuation of the indoor electronic expansion valve is small during the entire cycle, the performance of the indoor unit is regulated, and the energy consumption of the entire system is optimized.

[0125] In one or more embodiments of the present application, the operating parameter is the speed of the indoor fan.

[0126] During the startup phase, if the indoor ambient temperature deviates from the set temperature, conventional technology controls the indoor fan to run at a higher speed to quickly reach the set temperature. In this application, if the performance level of an indoor unit falls below a baseline performance level, a corresponding intervention control strategy is generated based on the degree to which the indoor unit's performance level deviates from the baseline intervention level, intervening to control the indoor fan speed and reducing it.

[0127] Compared with the existing technology, this application saves energy by about 9.7% and has good versatility. The coordination between the comprehensive frequency and the indoor electronic expansion valve can effectively balance the capacity output in each room and better meet the comfort requirements of the unit.

[0128] In one or more embodiments of the present application, the indoor unit state parameter may include one or more of indoor ambient temperature, indoor ambient humidity, indoor location parameter, and indoor personnel parameter.

[0129] In one or more embodiments of the present application, the indoor ambient temperature includes a temperature difference formed with the indoor ambient temperature as a reference.

[0130] In one or more embodiments of the present application, the indoor environmental humidity includes a humidity difference formed with the indoor environmental humidity as a reference.

[0131] In one or more embodiments of the present application, indoor location parameters include: the type of air supply mechanism of the indoor unit (wall-mounted, vertical or ceiling-mounted, etc.), the area of ​​the air-conditioned room, the distribution of doors and windows in the air-conditioned room, the opening and closing information of doors and windows in the air-conditioned room, the type of sunshade mechanism (curtain type) in the air-conditioned room, the distribution of heating equipment (high-power computers) in the air-conditioned room, etc.

[0132] In one or more embodiments of the present application, indoor personnel parameters include: number of people, user ID, user comfort parameters, user clothing volume, user area parameters, etc.

[0133] In one or more embodiments of the present application, Figure 13 As shown, the processing device 201 includes a generating unit 211, an estimating unit 212, an optimizing unit 213, and a compensating unit 214. Each of these components can be implemented by a processor running a program.

[0134] In one or more embodiments of the present application, the generating unit 211 is configured to obtain at least one operating parameter of the air-conditioning system.

[0135] The method for generating at least one operating parameter of the air-conditioning system is described in detail in the above embodiment and will not be repeated here.

[0136] In one or more embodiments of the present application, the estimating unit 212 is configured to estimate the relative relationship between the current demand load of the indoor unit and the output capacity of the air-conditioning system based on the indoor unit state parameters and environmental parameters, and generate the performance level of each indoor unit based on the relative relationship.

[0137] In one or more embodiments of the present application, the estimating unit 212 may estimate the relative relationship between the current required load of the indoor unit and the output capacity of the air conditioning system based on the indoor unit state parameters and environmental parameters according to an empirical formula or empirical method, and generate the performance level of each indoor unit based on the relative relationship. The empirical formula or empirical method may adopt techniques known to those skilled in the art.

[0138] In one or more embodiments of the present application, the estimation unit 212 is configured to construct a prediction model, using indoor unit state parameters and environmental parameters as input to estimate the relative relationship between the current demand load of the indoor unit and the output capacity of the outdoor unit; the relative relationship between the current demand load of the indoor unit and the output capacity of the air-conditioning system is passed as input to a classifier, and the classifier is configured to generate an efficiency level of the indoor unit based on the relative relationship.

[0139] The method of constructing the prediction model is described in detail in the above embodiment and will not be repeated here.

[0140] In one or more embodiments of the present application, the optimization unit 213 is configured to generate an optimization control strategy based on the indoor unit efficiency level, and the optimization control strategy can reduce the marginal energy loss caused by the preset temperature compensation.

[0141] Central air conditioning systems usually take into account factors such as the location of different indoor units, environmental conditions, and airflow distribution. In order to improve the temperature control performance of the entire air conditioning system, a temperature compensation program is designed. The main purpose of the temperature compensation program is to compensate for the return air temperature detected by different indoor units based on various factors in the actual use environment to ensure that the set temperature of each air-conditioned room can be accurately achieved. For example, changes in the external environment, such as sunlight, will cause deviations in the return air temperature (i.e., indoor ambient temperature). The temperature compensation program can be adjusted according to these environmental conditions. The temperature compensation program will be embedded in the control algorithm of the air conditioning system, and dynamic temperature compensation will be performed through sensor measurement and real-time feedback, so that it can better adapt to complex usage environments.

[0142] However, the introduction of temperature compensation also results in marginal energy losses. In particular, temperature compensation requires real-time monitoring and adjustment of the indoor environment, adjusting the operating status of the indoor units accordingly. This may conflict with the energy-first control strategy. The prior art generally considers temperature compensation to have more disadvantages than advantages, while ignoring the additional energy consumption it causes. This embodiment aims to address this issue, maintaining the advantages of temperature compensation while reducing the additional energy consumption it causes.

[0143] In order to solve this problem, the present invention is provided with an optimization unit 213, which is configured to generate an optimization control strategy based on the indoor unit efficiency level, and reduce the marginal energy loss caused by the preset temperature compensation through the optimization control strategy.

[0144] In one or more embodiments of the present application, the optimization unit 213 is specifically configured to construct an optimization model, take the indoor unit efficiency level, indoor unit state parameters and environmental parameters as input, and output optimized temperature compensation parameters.

[0145] In one or more embodiments of the present application, the compensation unit 214 is configured to execute an optimization control strategy to optimize and control at least one operating parameter of the air-conditioning system.

[0146] Figure 14 is a flow chart of the processing device 201, specifically including the following steps: Figure 14 Multiple steps shown.

[0147] Step S401: Build a prediction model.

[0148] Step S402: Estimate the relative relationship between the current required load of the indoor unit and the output capacity of the outdoor unit based on the indoor unit operation state parameters and environmental parameters.

[0149] Step S403: Generate the performance level of each indoor unit based on the relative relationship.

[0150] Step S404: construct an optimization model.

[0151] Step S405: Taking the indoor unit performance level, indoor unit state parameters and environmental parameters as inputs of the optimization model, an optimization control strategy is output.

[0152] Step S406: executing an optimization control strategy to optimize and control at least one operating parameter of the air-conditioning system.

[0153] Figure 15 A flowchart for building an optimization model.

[0154] For example, data collection for the optimization model can be performed under experimental conditions (e.g. Figure 15 (as shown in step S501).

[0155] Each element of the collected data set can include the ID of the indoor unit, the switch status of the indoor unit, the number of enabled indoor units, the efficiency level of the indoor unit, the operating status parameters of the indoor unit, the environmental parameters, the temperature compensation value, and the operating parameters of the air-conditioning system; add a time tag to generate a time series consisting of multiple elements.

[0156] Clean and preprocess the collected data sets, such as processing missing values ​​and outliers (such as Figure 15 (as shown in step S502).

[0157] In one or more embodiments of the present application, a regression model (such as linear regression, support vector regression) or a neural network can be selected as an optimization model (such as Figure 15 The processed data set is divided into a training set, a test set, and a validation set.

[0158] The training set is used to train the optimization model, and the test set is used to evaluate the generalization performance of the optimization model. The selected optimization model is trained using the training set, and the model parameters are adjusted to best fit the training data. The performance of the model is evaluated using the test set, and the model is adjusted and optimized based on the evaluation results (e.g. Figure 15 (as shown in step S504).

[0159] Use the validation set to validate the trained optimization model (such as Figure 15 (as shown in step S505).

[0160] The trained optimization model can take the indoor unit efficiency level as input to generate the optimization control strategy (such as Figure 15 (as shown in step S506).

[0161] In one or more embodiments of the present application, a neural network can be selected as both a prediction model and an optimization model. Specifically, the prediction model is used to predict the energy efficiency level of the indoor unit, which is then used as input for the optimization model. The optimization model is then used to optimize temperature compensation to reduce marginal energy losses. These two models can collaborate through joint optimization to improve overall system performance.

[0162] The features used by the prediction model and the optimization model overlap in the two dimensions of indoor unit state parameters and environmental parameters. The shared features enable the model to better understand the key characteristics of the data and promote consistency in the decision-making of the prediction model and the optimization model.

[0163] like Figure 16 As shown in steps S601 to S609, in one or more embodiments of the present application, the prediction model and the optimization model may be iteratively optimized using an alternating or joint training approach. In each iteration, the prediction model is first trained, and then the output of the prediction model is used as the input of the optimization model to train the optimization model, and then the prediction model is trained again. This iterative optimization approach helps the two models gradually work together to achieve better performance.

[0164] When evaluating the results, the prediction model can be evaluated using classification indicators such as accuracy or F1 score, and the optimization model can be evaluated using regression task indicators.

[0165] Using the trained optimization model, the optimization model can generate an optimized temperature compensation value as an optimized temperature compensation parameter using the indoor unit efficiency level as input. The compensation unit 214 can optimize and control at least one operating parameter of the air conditioning system, such as the compressor operating frequency, based on the optimized temperature compensation parameter.

[0166] The air-conditioning system provided in this application can reduce the marginal energy consumption loss caused by the preset temperature compensation according to the efficiency level of the indoor unit, thereby improving the energy efficiency of the entire air-conditioning system, reducing energy waste, and providing smarter and more economical indoor environment control.

[0167] In one or more embodiments of the present application, the indoor unit state parameter may include one or more of indoor ambient temperature, indoor ambient humidity, indoor location parameter, and indoor personnel parameter.

[0168] In one or more embodiments of the present application, the indoor ambient temperature includes a temperature difference formed with the indoor ambient temperature as a reference.

[0169] In one or more embodiments of the present application, the indoor environmental humidity includes a humidity difference formed with the indoor environmental humidity as a reference.

[0170] In one or more embodiments of the present application, indoor location parameters include: the type of air supply mechanism of the indoor unit (wall-mounted, vertical or ceiling-mounted, etc.), the area of ​​the air-conditioned room, the distribution of doors and windows in the air-conditioned room, the opening and closing information of doors and windows in the air-conditioned room, the type of sunshade mechanism (curtain type) in the air-conditioned room, the distribution of heating equipment (high-power computers) in the air-conditioned room, etc.

[0171] In one or more embodiments of the present application, indoor personnel parameters include: number of people, user ID, user comfort parameters, user clothing volume, user area parameters, etc.

[0172] In the description of the above embodiments, specific features, structures, materials or characteristics may be combined in an appropriate manner in any one or more embodiments or examples.

[0173] The above are only specific embodiments of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by a person skilled in the art within the technical scope disclosed in this invention should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. Air conditioning system, including: at least one indoor unit; an outdoor unit fluidly connected to the indoor unit; It is characterized by further comprising: A processing device comprising: a generating unit configured to obtain at least one operating parameter of the air-conditioning system; an estimating unit configured to construct a prediction model, estimate a relative relationship between a current demand load of the indoor unit and an output capacity of the outdoor unit based on operating state parameters of the indoor unit and environmental parameters, and generate an efficiency level for each indoor unit based on the relative relationship; and An intervention unit is configured to generate a corresponding intervention control strategy to intervene and control at least one operating parameter of the air-conditioning system according to the degree to which the indoor unit efficiency level deviates from the baseline intervention level when the efficiency level of an indoor unit is worse than the baseline efficiency level; wherein the baseline intervention level is a benchmark for evaluating whether the demand load of the indoor unit is too low.

2. The air conditioning system according to claim 1, characterized in that: The operating parameters include at least one or more of: condensing temperature, evaporating temperature, throttling device opening, compressor frequency, compressor start / stop status, indoor fan start / stop status, indoor fan speed, outdoor fan start / stop status and outdoor fan speed.

3. The air conditioning system according to claim 1, characterized in that: The indoor unit status parameters include at least one or more of indoor environment temperature, indoor environment humidity, indoor location parameters and indoor personnel parameters.

4. The air conditioning system according to claim 1, characterized in that: The environmental parameters include at least one or more of outdoor environmental temperature, outdoor environmental humidity, weather type parameters and geographical location parameters.

5. Air conditioning system, including: at least one indoor unit; an outdoor unit fluidly connected to the indoor unit; and It is characterized by further comprising: A processing device comprising: a generating unit configured to obtain at least one operating parameter of the air-conditioning system; an estimating unit configured to estimate a relative relationship between a current demand load of the indoor unit and an output capacity of the air-conditioning system based on the indoor unit state parameters and the environmental parameters, and generate an efficiency level for each indoor unit based on the relative relationship; an optimization unit configured to generate an optimization control strategy based on the indoor unit efficiency level, wherein the optimization control strategy can reduce marginal energy consumption loss caused by a preset temperature compensation; and The compensation unit is configured to execute the optimization control strategy to optimize and control at least one operating parameter of the air-conditioning system.

6. The air conditioning system according to claim 5, characterized in that: The estimation unit is configured to construct a prediction model, using indoor unit state parameters and environmental parameters as input to estimate the relative relationship between the current demand load of the indoor unit and the output capacity of the outdoor unit; and pass the relative relationship between the current demand load of the indoor unit and the output capacity of the air-conditioning system as input to a classifier, and the classifier is configured to generate an efficiency level of the indoor unit based on the relative relationship.

7. The air conditioning system according to claim 6, characterized in that: The optimization unit is also configured to construct an optimization model, taking the indoor unit efficiency level, indoor unit state parameters and environmental parameters as input, and outputting optimized temperature compensation parameters; the compensation unit is configured to optimize and control at least one operating parameter of the air-conditioning system based on the optimized temperature compensation parameters.

8. The air conditioning system according to any one of claims 5 to 7, characterized in that: The operating parameters include at least one or more of: condensing temperature, evaporating temperature, throttling device opening, compressor frequency, compressor start / stop status, indoor fan start / stop status, indoor fan speed, outdoor fan start / stop status and outdoor fan speed.

9. The air conditioning system according to any one of claims 5 to 7, characterized in that: The indoor unit status parameters include at least one or more of indoor environment temperature, indoor environment humidity, indoor location parameters and indoor personnel parameters.

10. The air conditioning system according to any one of claims 5 to 7, characterized in that: The environmental parameters include at least one or more of outdoor environmental temperature, outdoor environmental humidity, weather parameters, and geographical location parameters.

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