Air conditioner control method and device, electronic equipment and computer readable storage medium

Abstract

The embodiment of the invention discloses an air conditioner control method and device, electronic equipment and a computer readable storage medium, and belongs to the technical field of air conditioners. The method comprises the steps that the required capacity of each indoor unit and the temperature difference between the indoor temperature and the set temperature are obtained; determining a target compressor frequency of the outdoor unit based on the demand capacity and the current compressor frequency; based on the demand capacity and the temperature difference of the multiple indoor units, the target valve opening degree and the target fan rotating speed of each indoor unit are determined; and based on the target compressor frequency, the target valve opening degree and the target fan rotating speed, the air conditioner is controlled. Thus, through cooperative control based on the demand capacity and the temperature difference of the multiple indoor units, linkage optimization of the compressor frequency, the valve opening degree and the fan rotating speed can be achieved, the indoor temperature fluctuation is effectively restrained while the system energy efficiency is remarkably improved, and then the user comfort degree under the scene of the multiple indoor units is greatly improved.

Description

Technical Field

[0001] This application relates to the field of air conditioning technology, specifically to an air conditioning control method, device, electronic device, and computer-readable storage medium. Background Technology

[0002] A multi-split air conditioning system is an air conditioning system that connects one outdoor unit to multiple indoor units, each of which can be controlled independently. Due to its flexible configuration capabilities, multi-split air conditioning systems are becoming increasingly popular in both commercial and residential sectors.

[0003] Traditional air conditioning control methods are prone to mismatches between compressor frequency, electronic expansion valve opening, and fan speed when multiple indoor units are started and stopped or when partial load changes occur. This leads to high system energy consumption, large room temperature fluctuations, and negatively impacts user experience. Therefore, there is an urgent need for an intelligent method capable of precise and coordinated control under complex operating conditions to improve energy efficiency and comfort. Summary of the Invention

[0004] This application provides an air conditioning control method, device, electronic device, and computer-readable storage medium. By coordinating the control of the required capacity and temperature difference of multiple indoor units, the compressor frequency, valve opening degree, and fan speed can be optimized in a coordinated manner.

[0005] In a first aspect, embodiments of this application provide an air conditioning control method, wherein the air conditioner includes an outdoor unit and a plurality of indoor units connected to the outdoor unit, the method comprising:

[0006] Obtain the required capacity of each indoor unit, the temperature difference between the indoor temperature and the set temperature; Based on the required capacity and the current compressor frequency, determine the target compressor frequency for the outdoor unit; Based on the required capacity and the temperature difference, determine the target valve opening and target fan speed for each indoor unit; The air conditioner is controlled based on the target compressor frequency, the target valve opening degree, and the target fan speed.

[0007] In one embodiment, determining the target compressor frequency of the outdoor unit based on the required capacity and the current compressor frequency includes: The total required capacity is determined by summing the required capacity of each indoor unit. Based on the total demand capacity and the current compressor frequency, determine the capacity demand deviation; Based on the aforementioned capacity demand deviation, determine the target frequency adjustment amount; The sum of the target frequency adjustment and the current compressor frequency is determined as the target compressor frequency of the outdoor unit.

[0008] In one embodiment, determining the target frequency adjustment amount based on the capacity demand deviation includes: Based on the outdoor temperature and the system performance parameters of the air conditioner, basic adjustment parameters are determined; the basic adjustment parameters include basic proportional adjustment parameters, basic integral adjustment parameters, and basic derivative adjustment parameters. The capacity change rate is determined based on the capacity demand deviation and the historical capacity demand deviation before the preset time period. Based on the capacity demand deviation, the capacity change rate, and a preset fuzzy rule table, the correction amount of the basic adjustment parameter is determined; wherein, the fuzzy rule table is used to characterize the correspondence between the capacity demand deviation, the capacity change rate, and the correction amount; The target adjustment parameter is obtained by correcting the basic adjustment parameter based on the correction amount. The target frequency adjustment amount is determined based on the target adjustment parameters, the capacity demand deviation, and the capacity change rate.

[0009] In one embodiment, determining the target valve opening and target fan speed for each indoor unit based on the required capacity and the temperature difference includes: Based on the required capacity and the temperature difference, determine the opening ratio of each indoor unit and the theoretical fan speed; Based on the rated capacity of each indoor unit, determine the basic opening degree of each indoor unit, and based on the basic opening degree and opening degree distribution ratio of each indoor unit, determine the target valve opening degree of each indoor unit. Based on the evaporation temperature of each indoor unit, the theoretical fan speed of each indoor unit is corrected to obtain the target fan speed of each indoor unit.

[0010] In one embodiment, the required capacity and the temperature difference determine the opening ratio of each indoor unit and the theoretical fan speed, including: A first ratio is determined between the required capacity and the maximum required capacity of each indoor unit, and a second ratio is determined between the temperature difference between each indoor unit and the maximum temperature difference; wherein, the maximum required capacity is the maximum value of the required capacity of the plurality of indoor units, and the maximum temperature difference is the maximum value of the temperature difference of the plurality of indoor units; Based on the first ratio and the second ratio, the opening ratio of each indoor unit and the theoretical fan speed are determined.

[0011] In one embodiment, determining the opening degree allocation ratio of each indoor unit based on the first ratio and the second ratio includes: The first ratio and the second ratio are weighted and summed to obtain the demand weight of each indoor unit; the demand weight represents the urgency of the demand for each indoor unit. The ratio of the demand weight to the sum of the demand weights of the multiple indoor units is determined as the opening degree allocation ratio of each indoor unit.

[0012] In one embodiment, determining the theoretical fan speed of the indoor unit based on the first ratio and the second ratio includes: Based on the first ratio and the second ratio, a third ratio is determined; Based on the third ratio and the speed difference between the maximum and minimum effective fan speeds of each indoor unit, the first fan speed of each indoor unit is determined. The sum of the first fan speed and the minimum effective fan speed is determined as the theoretical fan speed of each indoor unit.

[0013] Secondly, embodiments of this application provide an air conditioning control device, the air conditioner including an outdoor unit and a plurality of indoor units connected to the outdoor unit, the device comprising: The parameter acquisition module is used to obtain the required capacity of each indoor unit, the temperature difference between the indoor temperature and the set temperature; The first determining module is used to determine the target compressor frequency of the outdoor unit based on the required capacity and the current compressor frequency; The second determining module is used to determine the target valve opening and target fan speed of each indoor unit based on the required capacity and the temperature difference; An air conditioning control module is used to control the air conditioner based on the target compressor frequency, the target valve opening degree, and the target fan speed.

[0014] In one embodiment, the first determining module includes: The total capacity determination submodule is used to determine the total required capacity by summing the required capacity of each indoor unit; The deviation determination submodule is used to determine the capacity demand deviation based on the total demand capacity and the current compressor frequency; The adjustment amount determination submodule is used to determine the target frequency adjustment amount based on the capacity demand deviation; The frequency determination submodule is used to determine the sum of the target frequency adjustment amount and the current compressor frequency as the target compressor frequency of the outdoor unit.

[0015] In one embodiment, the adjustment amount determination submodule includes: The basic adjustment parameter determination unit is used to determine basic adjustment parameters based on the outdoor temperature and the system performance parameters of the air conditioner; the basic adjustment parameters include basic proportional adjustment parameters, basic integral adjustment parameters and basic derivative adjustment parameters. The capacity change rate determination unit is used to determine the capacity change rate based on the capacity demand deviation and the historical capacity demand deviation before a preset time period. The correction amount determination unit is used to determine the correction amount of the basic adjustment parameter based on the capacity demand deviation, the capacity change rate, and a preset fuzzy rule table; wherein, the fuzzy rule table is used to characterize the correspondence between the capacity demand deviation, the capacity change rate, and the correction amount; The adjustment parameter correction unit is used to correct the basic adjustment parameter based on the correction amount to obtain the target adjustment parameter; The adjustment amount determination unit is used to determine the target frequency adjustment amount based on the target adjustment parameter, the capacity demand deviation, and the capacity change rate.

[0016] In one embodiment, the second determining module includes: The first determining submodule is used to determine the opening ratio and theoretical fan speed of each indoor unit based on the required capacity and the temperature difference. The valve opening determination submodule is used to determine the basic valve opening of each indoor unit based on its rated capacity, and to determine the target valve opening of each indoor unit based on its basic valve opening and valve opening allocation ratio. The speed determination submodule is used to correct the theoretical fan speed of each indoor unit based on the evaporation temperature of each indoor unit, so as to obtain the target fan speed of each indoor unit.

[0017] In one embodiment, the first determining submodule includes: The ratio determination unit is used to determine a first ratio between the required capacity and the maximum required capacity of each indoor unit, and a second ratio between the temperature difference of each indoor unit and the maximum temperature difference; wherein, the maximum required capacity is the maximum value of the required capacity of the plurality of indoor units, and the maximum temperature difference is the maximum value of the temperature difference of the plurality of indoor units; The parameter determination unit is used to determine the opening ratio and theoretical fan speed of each indoor unit based on the first ratio and the second ratio.

[0018] In one embodiment, the parameter determination unit includes: The weighting determination subunit is used to perform a weighted summation of the first ratio and the second ratio to obtain the demand weight of each indoor unit; the demand weight represents the urgency of the demand for each indoor unit. The allocation ratio determination subunit is used to determine the ratio of the demand weight to the sum of the demand weights of the multiple indoor units as the opening degree allocation ratio of each indoor unit.

[0019] In one embodiment, the parameter determination unit includes: A ratio determination subunit is used to determine a third ratio based on the first ratio and the second ratio; The first speed determination subunit is used to determine the first fan speed based on the third ratio and the speed difference between the maximum effective fan speed and the minimum effective fan speed of each indoor unit. The second speed determination subunit is used to determine the sum of the first fan speed and the minimum effective fan speed as the theoretical fan speed of each indoor unit.

[0020] Thirdly, embodiments of this application also provide an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, it implements the steps in the above-described air conditioning control method.

[0021] Fourthly, embodiments of this application also provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps in the aforementioned air conditioning control method.

[0022] Fifthly, embodiments of this application also provide a computer program product or computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the methods provided in the various optional implementations described in the embodiments of this application.

[0023] In summary, in this embodiment, the required capacity, indoor temperature, and temperature difference between the set temperature of each indoor unit are first obtained. Then, based on the required capacity and the current compressor frequency, the target compressor frequency of the outdoor unit is determined, and based on the required capacity and temperature difference, the target valve opening and target fan speed of each indoor unit are determined. Finally, the air conditioner is controlled based on the target compressor frequency, target valve opening, and target fan speed. Thus, through coordinated control based on the required capacity and temperature difference of multiple indoor units, the compressor frequency of the outdoor unit and the valve opening and fan speed of each indoor unit can be optimized in a coordinated manner. This significantly improves system energy efficiency while effectively suppressing room temperature fluctuations, thereby greatly enhancing user comfort in multi-indoor-unit scenarios. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 This is a schematic flowchart of an air conditioning control method provided in an embodiment of this application; Figure 2 This is a flowchart illustrating a specific embodiment of determining the target compressor frequency provided in this application; Figure 3 This is a flowchart illustrating a specific embodiment of determining the target frequency adjustment amount provided in this application; Figure 4 This is a flowchart illustrating a specific embodiment of determining the target valve opening and the target fan speed provided in this application; Figure 5 This is a flowchart illustrating a specific embodiment of determining the opening ratio and theoretical fan speed provided in this application; Figure 6 This is a schematic diagram of the structure of an air conditioning control device provided in an embodiment of this application; Figure 7 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0026] The technical solutions of this application will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0027] It should be noted that multi-split air conditioning systems are becoming increasingly popular in both commercial and residential sectors due to their flexible configuration capabilities. Currently, some multi-split air conditioning systems have developed flexible matching technology, allowing indoor and outdoor units to be flexibly matched within their rated capacity range. This effectively solves the problems of system identification and basic stable operation when freely matching indoor and outdoor units of different capacities, greatly facilitating multi-split system installation. However, existing technologies mainly focus on hardware-level compatibility and safe operation, and have not yet delved into the energy efficiency optimization and precise comfort control during system operation.

[0028] Specifically, in actual air conditioning operation, especially under dynamic conditions such as partial load operation, asynchronous start-stop of multiple indoor units, or frequent changes in ambient temperature, existing control logic struggles to accurately match the total system capacity demand with the individual needs of each indoor unit in real time. This can easily lead to issues such as lag or over-adjustment of compressor frequency, uneven distribution of electronic expansion valve opening, and unreasonable indoor fan speed, resulting in system supply-demand mismatch. The direct consequences are significant energy waste and reduced overall energy efficiency; simultaneously, indoor temperature fluctuations intensify, leading to a large discrepancy between the user's set temperature and the actual perceived temperature, thus reducing comfort.

[0029] Although the current free distribution technology has built the hardware foundation for the system, the lack of a supporting intelligent decision-making algorithm for dynamic optimization has prevented the system from fully发挥 its performance and restricted the further improvement of the user experience. Therefore, how to develop an intelligent control method for a multi-connected air-conditioning system that can achieve multi-variable coordination and dynamically respond to demand changes has become the key to improving the comprehensive performance of the multi-connected air-conditioning system.

[0030] To address the problem that the current multi-connected air-conditioning system is difficult to achieve multi-variable coordinated control, this application aims to provide an air-conditioning control method. First, obtain the demand capacity of multiple indoor units of the air-conditioning, as well as the temperature differences between the indoor temperatures and the set temperatures of the multiple indoor units. Then, based on the demand capacity of the multiple indoor units and the current compressor frequency, determine the target compressor frequency, and based on the demand capacity and temperature differences of the multiple indoor units, determine the target valve openings and target fan speeds of the multiple indoor units. Finally, control the air-conditioning based on the target compressor frequency, target valve openings, and target fan speeds. In this way, through coordinated control based on the demand capacity and temperature differences of multiple indoor units, it is possible to achieve the联动 optimization of the compressor frequency, valve openings, and fan speeds, significantly improving the system energy efficiency while effectively suppressing room temperature fluctuations, and thus greatly enhancing the user comfort in the multi-indoor unit scenario.

[0031] The following will be described in detail respectively. It should be noted that the description order of the following embodiments does not limit the priority order of the embodiments.

[0032] Figure 1 The flowchart of the air-conditioning control method according to an embodiment of the present application is schematically shown. The execution subject of this air-conditioning control method can be an air-conditioning control device. Among them, this air-conditioning control device can be integrated in any electronic device with data processing, network communication, and program running functions. This electronic device can be a server or a terminal device, etc.

[0033] Among them, the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers. It can also be a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, network acceleration services (Content Delivery Network, CDN), and big data and artificial intelligence platforms.

[0034] The terminal can be an air-conditioning or a control terminal connected to the air-conditioning. This control terminal can be a smart phone, a tablet computer, a notebook computer, a desktop computer, etc., but is not limited thereto. The terminal and the server can be directly or indirectly connected through wired or wireless communication methods, and this application does not limit this here.

[0035] Furthermore, in the embodiments of this application, "multiple" refers to two or more. The terms "first" and "second," etc., in the embodiments of this application are used for distinguishing descriptions and should not be construed as implying relative importance.

[0036] The following sections provide detailed descriptions of each example. It should be noted that the order in which the embodiments are described is not intended to limit the preferred order of the embodiments.

[0037] In this embodiment, the description will be from the perspective of an air conditioning control device, which can be integrated into a server or terminal. To facilitate the explanation of the air conditioning control method of this application, the following will describe the air conditioning control device integrated into the air conditioner, that is, the air conditioner will be used as the execution subject for detailed explanation.

[0038] Reference Figure 1 The diagram shows a flow chart of an air conditioning control method according to this application. The method may specifically include steps S101 to S104, as follows: S101: Obtain the required capacity of each indoor unit, the temperature difference between the indoor temperature and the set temperature.

[0039] In this embodiment, the air conditioner is a multi-split air conditioner, which includes an outdoor unit and multiple indoor units connected to the outdoor unit. The outdoor unit can be connected to the multiple indoor units via refrigerant pipes. The multi-split air conditioner adjusts its capacity through refrigerant circulation and inverter technology. Specifically, after the outdoor unit compresses the refrigerant, the refrigerant is transported to the indoor units via refrigerant pipes, and valves (such as electronic expansion valves) adjust the flow rate according to the load to achieve independent temperature control.

[0040] In this embodiment, the required capacity refers to the cooling / heating power needed by each indoor unit to meet the space temperature control. Specifically, this required capacity can represent the cooling / heating power required by each indoor unit within a future control cycle.

[0041] In this embodiment, the required capacity of any indoor unit can be calculated using a prediction algorithm based on historical operating data, current environmental parameters, and user-defined parameters. Historical operating data may include historical load data; current environmental parameters may include indoor temperature and humidity; user-defined parameters may include set temperature and humidity; and the prediction algorithm may employ time series analysis, a lightweight machine learning model, or a neural network model. Specifically, time series analysis may use an Autoregressive Integrated Moving Average (ARIMA) model. For example, if the set temperature of an indoor unit differs significantly from the indoor temperature, and historical operating data shows rapid load changes in the area, the predicted required capacity of that indoor unit may be higher.

[0042] In this embodiment, the temperature difference represents the difference between the indoor temperature and the user's set temperature. This temperature difference directly reflects the degree of deviation in the current temperature control status and is a core indicator for assessing the urgency of temperature control.

[0043] In this embodiment, by acquiring dynamic demand capacity rather than static rated values, the air conditioner can proactively sense load change trends. Combined with real-time temperature differences, the air conditioner can quantify the urgency of temperature control in each area, thereby providing accurate and timely input for subsequent multi-variable collaborative decision-making, avoiding energy waste or decreased comfort caused by response lag in traditional control.

[0044] S102: Determine the target compressor frequency for the outdoor unit based on the required capacity and the current compressor frequency.

[0045] In this embodiment, the target compressor frequency refers to the optimal operating frequency that the outdoor unit's compressor needs to be adjusted to. The current compressor frequency refers to the actual operating frequency of the compressor at the current moment.

[0046] In this embodiment, the air conditioner can calculate the sum of the required capacities of all indoor units, i.e., the total required capacity, based on the required capacity of multiple indoor units. This total required capacity represents the cooling / heating power needed to meet the space temperature control of all indoor units. Since the current compressor frequency reflects the current output capacity of the compressor, by comparing the total required capacity with the output capacity corresponding to the current compressor frequency, the capacity demand deviation can be obtained, and the compressor frequency can be adjusted according to the capacity demand deviation. Specifically, if the total required capacity is higher than the output capacity corresponding to the current compressor frequency, it indicates that the system is not providing sufficient cooling / heating, and the compressor frequency will be increased; conversely, the compressor frequency needs to be decreased to avoid oversupply.

[0047] In this embodiment, by analyzing the required capacity of multiple indoor units and the current compressor frequency, the supply-demand deviation can be effectively identified, and a suitable target compressor frequency can be determined based on the supply-demand deviation. This ensures that the compressor operates in a state that best matches the overall system load, effectively avoiding the problem of low energy efficiency in the air conditioner.

[0048] S103: Based on the required capacity and temperature difference, determine the target valve opening and target fan speed for each indoor unit.

[0049] In this embodiment, the target valve opening refers to the ideal opening of the valves in each indoor unit. This target valve opening is used to precisely regulate the refrigerant flow into each indoor unit. Specifically, the valves can be electronic expansion valves (EEV), thermostatic expansion valves, four-way valves, shut-off valves, etc.

[0050] In this embodiment, the target fan speed refers to the ideal speed of the fan in each indoor unit. This target fan speed is used to control the airflow rate and heat exchange intensity.

[0051] In this embodiment, the air conditioner does not apply uniform control to all indoor units. Instead, it performs targeted control for each indoor unit, taking into account its required capacity and temperature difference. Specifically, for indoor units with high required capacity and large temperature differences, the air conditioner can allocate a larger valve opening (to increase refrigerant supply) and a higher fan speed (to enhance heat exchange) to achieve rapid response and prioritize their needs. Conversely, for indoor units with stable demand, resource allocation can be appropriately reduced.

[0052] In this embodiment, the heating / cooling capacity can be allocated to each indoor unit on demand through the coordinated distribution mechanism of valves and fans. This allows the limited total system capacity output by the compressor to be dynamically and rationally allocated to the indoor units that need it most, thereby achieving the optimal configuration of refrigerant and air volume at the system level. This effectively solves the problems of local overcooling, overheating or excessive energy consumption caused by uneven resource allocation in multi-indoor-unit scenarios.

[0053] S104: Control the air conditioner based on the target compressor frequency, target valve opening degree, and target fan speed.

[0054] In this embodiment, after calculating the target compressor frequency, target valve opening, and target fan speed, the air conditioner can generate a unified control command set. This control command set includes the target compressor frequency, the target valve opening of each indoor unit, and the target fan speed. Then, the control command set is simultaneously sent to the compressor controller and the electronic expansion valves and fan controllers of each indoor unit via a system bus (such as a CAN bus). This allows the compressor controller to adjust the compressor frequency of the outdoor unit based on the target compressor frequency, the electronic expansion valves to adjust the valve opening of each indoor unit based on the target valve opening of each indoor unit, and the fan controllers to adjust the fan speed of each indoor unit based on the target fan speed of each indoor unit.

[0055] In this embodiment, by coordinating the control of the required capacity and temperature difference of multiple indoor units, the compressor frequency, valve opening degree and fan speed can be optimized in a coordinated manner. This significantly improves the system energy efficiency while effectively suppressing room temperature fluctuations, thereby greatly improving user comfort in multi-indoor unit scenarios. At the same time, without modifying the existing hardware, it is possible to achieve in-depth optimization of the system performance of the target multi-split air conditioner with zero modification cost.

[0056] In one feasible implementation, refer to Figure 2The step of determining the target compressor frequency of the outdoor unit based on the demand capacity and the current compressor frequency may specifically include steps S201 to S204, as follows: S201: The sum of the required capacity of each indoor unit is determined as the total required capacity.

[0057] In this embodiment, total demand capacity refers to the arithmetic sum of the demand capacities of all operating indoor units in the air conditioning system. This total demand capacity represents the total cooling or heating capacity that the entire air conditioning system needs to provide to meet the comfort requirements of all areas within a future control cycle.

[0058] In this embodiment, by calculating the total demand capacity, the air conditioner can grasp the overall load level from a macro perspective, providing the most fundamental quantitative basis for subsequent compressor frequency decisions, and avoiding the one-sidedness of judging the system load based solely on the condition of a single indoor unit or a simple average.

[0059] S202: Determine the capacity demand deviation based on the total demand capacity and the current compressor frequency.

[0060] In this embodiment, the current output capacity corresponding to the current compressor frequency can be determined first based on the preset correspondence between compressor frequency and output capacity, and then the difference between the total demand capacity and the current output capacity can be determined as the capacity demand deviation.

[0061] In this embodiment, by calculating the capacity demand deviation, the gap between the compressor's current actual output capacity and the overall system demand can be accurately quantified.

[0062] Specifically, let the capacity demand deviation be E_cap. If E_cap>0, it indicates that the system demand is greater than the current supply, and there is an energy gap. In this case, the compressor frequency needs to be increased. If E_cap<0, it indicates that the system supply is excessive, and there is energy waste. In this case, the compressor frequency needs to be reduced. If E_cap=0, it indicates that the supply and demand are basically balanced, and the compressor frequency should be kept as stable as possible.

[0063] S203: Determine the target frequency adjustment amount based on the capacity demand deviation.

[0064] In this embodiment, the target frequency adjustment amount refers to the amount of change in the current compressor frequency that needs to be adjusted in order to make the compressor output capacity match the total system demand. Its value can be positive or negative.

[0065] In this embodiment, the capacity demand deviation can be input into a preset controller, which then outputs the target frequency adjustment amount. This controller can be an engineering-optimized PID (proportional-integral-derivative) controller, meaning that the target frequency adjustment amount can be obtained by calculating the capacity demand deviation using a PID algorithm.

[0066] In this embodiment, the PID controller can achieve rapid and stable adjustment. When the capacity demand deviation E_cap is large, it can generate a large target frequency adjustment, causing the compressor frequency to quickly approach the target. At the same time, through integral action, it can ultimately eliminate the capacity demand deviation in steady state, achieving precise matching.

[0067] S204: The sum of the target frequency adjustment and the current compressor frequency is determined as the target compressor frequency of the outdoor unit.

[0068] In this embodiment, the target compressor frequency refers to the operating frequency that the compressor ultimately needs to reach.

[0069] In this embodiment, before controlling the compressor to output the final target frequency, the air conditioner can also perform a safety limiting process on the target compressor frequency to ensure that the target compressor frequency is limited between the compressor's minimum allowable operating frequency and the first maximum operating frequency, and does not exceed the second maximum operating frequency determined by the total capacity of the system hardware.

[0070] In the specific implementation, the smaller value between the first highest operating frequency and the second highest operating frequency is determined as the target highest operating frequency; if the target compressor frequency is less than the lowest operating frequency, the lowest operating frequency is determined as the target compressor frequency; if the target compressor frequency is greater than the target highest operating frequency, the target highest operating frequency is determined as the target compressor frequency.

[0071] In this embodiment, by calculating the real-time deviation between the total demand capacity of the system and the current output capacity of the compressor, and intelligently generating the corresponding target frequency adjustment based on this deviation, the compressor frequency can closely follow the dynamic changes of the overall system load, thereby effectively avoiding excessive energy consumption or insufficient supply caused by the mismatch between the compressor output capacity and the system demand, and significantly improving the overall energy efficiency and operational stability of the multi-split system.

[0072] In one feasible implementation, refer to Figure 3 The step of determining the target frequency adjustment amount based on the capacity demand deviation may specifically include steps S301 to S305, as follows: S301: Determine the basic adjustment parameters based on the outdoor temperature and the system performance parameters of the air conditioner.

[0073] In this embodiment, the basic adjustment parameters are a set of PID control parameters determined by the PID controller based on the outdoor temperature and system performance parameters. These basic adjustment parameters may specifically include basic proportional control parameters, basic integral control parameters, and basic derivative control parameters. The system performance parameters are performance parameters used to characterize the temperature control capability of the air conditioner, and may specifically include parameters such as compressor type, heat exchanger area, and refrigerant type.

[0074] In this embodiment, the basic adjustment parameters are determined based on the outdoor ambient temperature and the performance characteristics of the air conditioning system itself through pre-calibrated data tables or functional relationships. The PID controller system has built-in optimal PID basic parameters corresponding to different outdoor temperature conditions. For example, under high-temperature cooling conditions, the system inertia may be different, therefore a set of basic parameters different from those under low-temperature heating conditions is required.

[0075] In this embodiment, by comprehensively considering outdoor temperature and system performance parameters, basic adjustment parameters that match the operating conditions can be determined, thus providing a good data foundation for subsequent fine dynamic tuning.

[0076] S302: Determine the capacity change rate based on the capacity demand deviation and the historical capacity demand deviation before the preset time period.

[0077] In this embodiment, the preset duration can be determined based on the air conditioner's control cycle; that is, the capacity change rate can be calculated based on the difference between the current capacity demand deviation and the capacity demand deviation of the previous control cycle, plus the time interval. Specifically, the capacity change rate can be calculated using the following formula: EC_cap(t)=[E_cap(t)-E_cap(t-1)] / ΔTime(1); Where EC_cap(t) represents the capacity change rate at the current moment; E_cap(t) represents the capacity demand deviation at the current moment; E_cap(t-1) represents the capacity change rate in the previous control cycle; and ΔTime represents the time interval between the previous control cycle and the current moment.

[0078] In this embodiment, the capacity change rate EC_cap reflects the trend and speed of change of the deviation between the total system demand and the current compressor capacity. If EC_cap is positive and large, it indicates that the energy gap is expanding rapidly, requiring the controller to make a more proactive response to suppress further growth of the deviation; if EC_cap is negative and large, it indicates that the energy surplus is intensifying, requiring the controller to slow down in advance to prevent over-adjustment, i.e., proactive adjustment is required.

[0079] S303: Based on capacity demand deviation, capacity change rate and preset fuzzy rule table, determine the correction amount of basic adjustment parameters.

[0080] In this embodiment, the fuzzy rule table is used to characterize the correspondence between capacity demand deviation and capacity change rate and the correction amount. Specifically, the fuzzy rule table can be a pre-defined knowledge base based on expert experience and system simulation data. It converts the input precise quantities (such as capacity demand deviation E_cap and capacity change rate EC_cap) into fuzzy subsets such as "positive large (PB)", "positive small (PS)", "zero (ZO)", "negative small (NS)", and "negative large (NB)" through a fuzzification process, and infers the correction amount for the basic adjustment parameters according to the "IF-THEN" form of rules. The correction amount can specifically include the proportional correction amount ΔK_p for the basic proportional adjustment parameter, the integral correction amount ΔK_i for the basic integral adjustment parameter, and the differential correction amount ΔK_d for the basic derivative adjustment parameter.

[0081] In this embodiment, based on a fuzzy rule table, fuzzy inference can be performed on capacity demand deviation and capacity change rate to obtain fuzzy correction values. Then, based on algorithms such as the centroid method, the fuzzy correction values ​​are converted into precise correction values. For example, one of the fuzzy rules in the fuzzy rule table can be set as: "IF E_cap is PB (positive large) AND EC_cap is ZO (zero), THEN ΔK_p is PB (positive large), ΔK_i is NB (negative large), ΔK_d is PS (positive small)". That is, when the demand deviation is large (PB) and the change is stable (ZO), it indicates that strong correction is needed. Therefore, the proportional action (ΔK_p = PB) should be significantly enhanced to quickly reduce the deviation; however, the integral action (ΔK_i = NB) should be significantly weakened at the same time to prevent integral saturation and system overshoot due to a large initial deviation; and the derivative action (ΔK_d = PS) should be appropriately enhanced to increase system damping. After calculating the fuzzy correction amount, it can be converted into an accurate correction amount (ΔK_p, ΔK_i, ΔK_d) based on algorithms such as the centroid method.

[0082] In this embodiment, the multi-split air conditioner is a complex nonlinear system, and traditional PID control algorithms struggle to maintain optimal performance across a wide operating range. By incorporating fuzzy rules into PID control, the controller parameters can be intelligently and nonlinearly adjusted based on different combinations of capacity demand deviations and their changing trends, enabling the system to achieve a fast, stable, and overshoot-free ideal response under various dynamic processes.

[0083] S304: Correct the basic control parameters based on the correction amount to obtain the target control parameters.

[0084] In this embodiment, the target adjustment parameters are the PID parameters that are ultimately used for calculation in the current control cycle after fuzzy rule tuning. Specifically, these target adjustment parameters include target proportional adjustment parameters, target integral adjustment parameters, and target derivative adjustment parameters. Specifically, the target adjustment parameters can be calculated based on the following formula: K_p'=K_p0+ΔK_p(2; K_i'=K_i0+ΔK_i(3) K_d'=K_d0+ΔK_d(4; Wherein, K_p' represents the target proportional control parameter, K_p0 represents the basic proportional control parameter, and ΔK_p represents the proportional correction amount; K_i' represents the target integral control parameter, K_i0 represents the basic integral control parameter, and ΔK_i represents the integral correction amount; K_d' represents the target derivative control parameter, K_d0 represents the basic derivative control parameter, and ΔK_d represents the derivative correction amount.

[0085] S305: Determine the target frequency adjustment amount based on the target adjustment parameters, capacity demand deviation, and capacity change rate.

[0086] In this embodiment, after obtaining the target adjustment parameters, PID control can be performed based on the target adjustment parameters, capacity demand deviation, and capacity change rate. Specifically, the target frequency adjustment amount can be determined according to the following formula: ΔF_comp(t)=K_p'×E_cap(t)+K_i'×∫E_cap(t)dt+K_d'×EC_cap(t)(5); Wherein, ΔF_comp(t) represents the target frequency adjustment amount at the current moment; K_p'×E_cap(t) represents the proportional term, where K_p' represents the target proportional adjustment parameter and E_cap(t) represents the capacity demand deviation at the current moment; Ki'×∫E_cap(t)dt represents the integral term, where Ki' represents the target integral adjustment parameter and ∫E_cap(t)dt represents the integral of the capacity demand deviation from the initial moment to the current moment; K_d'×EC_cap(t) represents the derivative term, where K_d' represents the target derivative adjustment parameter and EC_cap(t) represents the capacity change rate at the current moment.

[0087] In this embodiment, by using the tuned target adjustment parameters, a comprehensive weighted calculation is performed on the current deviation (proportional term), the historical deviation accumulation (integral term), and the future deviation trend (differential term), which can generate a precise target frequency adjustment amount that can both quickly eliminate deviation and ensure system stability.

[0088] In this embodiment, by introducing fuzzy rules to dynamically tune the PID parameters, the control system's ability to cope with complex nonlinear and time-varying operating conditions of multi-unit air conditioners is greatly enhanced. It can adaptively adjust the response strength and damping characteristics of the PID controller according to different magnitudes of deviations and their changing trends. This enables the system to respond extremely quickly to restore a comfortable temperature when facing dynamic processes such as sudden load changes and the start-up and shutdown of multiple indoor units, while effectively suppressing overshoot and oscillation, ensuring the speed, stability and smoothness of frequency regulation.

[0089] In one feasible implementation, refer to Figure 4 The steps for determining the target valve opening and target fan speed for each indoor unit based on the required capacity and temperature difference may specifically include steps S401 to S403, as follows: S401: Based on the required capacity and temperature difference, determine the opening ratio of each indoor unit and the theoretical fan speed.

[0090] In this embodiment, the opening allocation ratio is a dimensionless value between 0 and 1, representing the theoretical share of the total refrigerant flow in the air conditioner that should be allocated to each indoor unit. The theoretical fan speed represents the initial, uncorrected fan speed calculated based on the current heat exchange demand.

[0091] In this implementation, the demand capacity represents the predicted air conditioning load, and the temperature difference represents the actual temperature control deviation. Combining these two allows for a comprehensive and dynamic assessment of the actual demand for each indoor unit. Indoor units with more urgent demand can be assigned a higher opening ratio and theoretical fan speed, thus providing a precise and reasonable data basis for subsequent accurate control.

[0092] S402: Based on the rated capacity of each indoor unit, determine the basic opening degree of each indoor unit, and based on the basic opening degree and opening degree distribution ratio of each indoor unit, determine the target valve opening degree of each indoor unit.

[0093] In this embodiment, the base opening degree is a valve opening reference value that is proportional to the rated capacity of each indoor unit. This base opening degree can be calculated based on the rated capacity of the indoor unit and a proportionality coefficient preset according to the system refrigerant characteristics. Specifically, the base opening degree corresponding to each indoor unit can be calculated according to the following formula: EEV_base_i=K×C_rated_i(6); Where EEV_base_i represents the base opening degree of the i-th indoor unit; K represents the proportional coefficient; and C_rated_i represents the rated capacity of the i-th indoor unit.

[0094] In this embodiment, for indoor units with different rated capacities, the basis of the refrigerant flow rate required to achieve the basic heat exchange capacity is different. By calculating the basic opening degree of each indoor unit, it is ensured that the resource allocation is carried out on the premise of the inherent hardware capacity differences of each indoor unit, avoiding the problem of unreasonable opening degree allocation.

[0095] In this embodiment, the steps of determining the target valve opening degree of each indoor unit based on the basic opening degree and the opening degree allocation ratio of each indoor unit may specifically include: determining the average of the opening degree allocation ratios of multiple indoor units as the average allocation ratio, and determining the ratio difference between the opening degree allocation ratio of each indoor unit and the average allocation ratio; determining the opening degree correction ratio based on the ratio difference and a preset adjustment gain coefficient; determining the target valve opening degree of each indoor unit based on the basic opening degree and the opening degree correction ratio of each indoor unit. Among them, the adjustment gain coefficient is used to control the aggressiveness of the adjustment, and its range can be set to 0.5 to 1.5.

[0096] In specific implementation, the target valve opening degree of each indoor unit can be calculated according to the following formula: EEV_i = EEV_base_i × (1 + γ × (R_i - R_avg)) (7); Where, EEV_i represents the target valve opening degree of the i-th indoor unit; EEV_base_i represents the basic opening degree of the i-th indoor unit; γ represents the adjustment gain coefficient; R_i represents the opening degree allocation ratio of the i-th indoor unit; R_avg represents the average allocation ratio of multiple indoor units.

[0097] In this embodiment, before the air conditioner controls the valve to output the final target valve opening degree, it can also perform a safety limit processing on the target valve opening degree to ensure that the target valve opening degree is restricted between the maximum opening degree and the minimum opening degree of the valve.

[0098] In specific implementation, if the target valve opening degree is less than the minimum opening degree, the minimum opening degree is determined as the target valve opening degree; if the target valve opening degree is greater than the maximum opening degree, the maximum opening degree is determined as the target valve opening degree.

[0099] In this embodiment, by calculating the ratio difference between the opening degree allocation ratio of the indoor unit and the average allocation ratio, this ratio difference can reflect the deviation between the individual demand of a single indoor unit and the system average demand. If R_i > R_avg, it means that the demand urgency of this indoor unit is higher than the system average level, and the demand of this indoor unit needs to be met to a greater extent; if R_i < R_avg, it means that the demand urgency of this indoor unit is lower than the system average level, and the demand of other indoor units can be preferentially met; if R_i = R_avg, it means that the demand of this indoor unit is at the average level. At this time, the opening degree correction ratio is zero, and the basic opening degree can be directly determined as the target valve opening degree.

[0100] S403: Based on the evaporation temperature of each indoor unit, the theoretical fan speed of each indoor unit is corrected to obtain the target fan speed of each indoor unit.

[0101] In this embodiment, the evaporation temperature refers to the temperature at which the refrigerant evaporates in the heat exchanger of each indoor unit. It is a key parameter that directly reflects the heat exchange intensity and equipment safety.

[0102] In this embodiment, considering the risk of overcooling when the evaporation temperature is too low, after calculating the theoretical fan speed, the evaporation temperature of each indoor unit is also obtained, and the theoretical fan speed of each indoor unit is corrected by the evaporation temperature to obtain the final target fan speed.

[0103] In the specific implementation, the theoretical fan speed of each indoor unit is corrected based on the evaporation temperature of each indoor unit to obtain the target fan speed of each indoor unit. This includes: for any indoor unit, when the evaporation temperature of the indoor unit is less than the temperature threshold, determining the speed correction amount based on the temperature difference between the temperature threshold and the evaporation temperature; when the evaporation temperature of the indoor unit is greater than or equal to the temperature threshold, determining the speed correction amount as the preset correction amount; and determining the sum of the speed correction amount and the theoretical fan speed as the target fan speed of the indoor unit.

[0104] In this implementation, when the evaporation temperature of the indoor unit is lower than the temperature threshold, it indicates that the evaporator is too cold, posing a risk of frosting (heating mode) or excessive dehumidification / excessive draft (cooling mode). At this time, the system generates a positive speed correction, increasing the fan speed. Increased fan speed enhances airflow, raises the evaporation temperature, thereby mitigating the risk of frosting and bringing the outlet air temperature closer to room temperature, improving comfort.

[0105] In this embodiment, before controlling the final target fan speed, the air conditioner can perform a safety limiting process on the target fan speed to ensure that the target fan speed is limited between the maximum and minimum effective fan speeds. The minimum effective fan speed is a preset minimum fan speed that ensures effective heat exchange and comfortable airflow, while the maximum effective fan speed is a preset maximum fan speed that balances noise levels and system reliability. This speed range setting ensures that the control system always operates under safe, comfortable, and reliable conditions.

[0106] In practice, if the target fan speed is less than the minimum effective fan speed, the minimum effective fan speed is determined as the target fan speed; if the target fan speed is greater than the maximum effective fan speed, the maximum effective fan speed is determined as the target fan speed.

[0107] In this implementation, by dynamically calculating the opening ratio of each indoor unit and the theoretical fan speed, on-demand allocation and precise delivery of refrigerant and air volume can be achieved, significantly improving the system's response speed and temperature uniformity across different areas. Furthermore, by introducing a base opening ratio based on rated capacity and feedback correction based on evaporation temperature, resource allocation is ensured to take into account both hardware characteristics and real-time status, effectively preventing safety issues such as localized overcooling and frost formation, and significantly reducing user discomfort. This results in a substantial overall improvement in the comfort, safety, and energy efficiency of the multi-split air conditioning system.

[0108] In one feasible implementation, refer to Figure 5 The steps for determining the opening ratio of each indoor unit and the theoretical fan speed based on the required capacity and temperature difference can specifically include steps S501 to S502, as follows: S501: Determine the first ratio between the required capacity and the maximum required capacity of each indoor unit, and the second ratio between the temperature difference of each indoor unit and the maximum temperature difference.

[0109] In this embodiment, the maximum required capacity is the maximum value of the required capacity of multiple indoor units, and the maximum temperature difference is the maximum value of the temperature difference of multiple indoor units.

[0110] In this embodiment, by calculating a first ratio between the required capacity and the maximum required capacity of each indoor unit, the predicted required capacity of each indoor unit can be normalized to the range of [0, 1]. This first ratio reflects the relative level of load of each indoor unit among all indoor units in the current system. Simultaneously, by calculating a second ratio between the temperature difference of each indoor unit and the maximum temperature difference, the real-time temperature control deviation of each indoor unit can be normalized to the range of [0, 1]. This second ratio reflects the relative level of temperature control urgency of each indoor unit among all indoor units in the current system.

[0111] In this implementation, the required capacity and absolute temperature difference of different indoor units may vary greatly, making fair comparison impossible if the original values ​​are used directly. By normalizing by dividing by the current maximum value of the system (i.e., maximum required capacity and maximum temperature difference), the influence of dimensions and absolute values ​​is eliminated, unifying these two key parameters of all indoor units to the same scale and providing a comparable basis for subsequent comprehensive evaluation.

[0112] S502: Based on the first ratio and the second ratio, determine the opening ratio of each indoor unit and the theoretical fan speed.

[0113] In this embodiment, after calculating the first ratio and the second ratio, by using the two normalized ratios as common inputs, the air conditioner can perform collaborative calculations from two dimensions—the relative demand for capacity and the relative urgency of temperature control—when calculating the opening allocation ratio and the theoretical fan speed, thereby ensuring the accuracy of the opening allocation ratio and the theoretical fan speed.

[0114] In one feasible implementation, the step of determining the opening degree allocation ratio of each indoor unit based on the first ratio and the second ratio may specifically include: weighting and summing the first ratio and the second ratio to obtain the demand weight of each indoor unit; and determining the ratio of the demand weight to the sum of the demand weights of multiple indoor units as the opening degree allocation ratio of each indoor unit.

[0115] In this implementation, the demand weight is a quantitative indicator that combines load size and temperature control deviation, used to characterize the urgency of demand for each indoor unit. In practice, the demand weight of each indoor unit can be calculated using the following formula: W_i=α×(C_demand_i / C_demand_max)+β×(|ΔT_i| / ΔT_max) (8); Where W_i represents the demand weight of the i-th indoor unit; (C_demand_i / C_demand_max) represents the first ratio, where C_demand_i represents the demand capacity of the i-th indoor unit, and C_demand_max represents the maximum demand capacity of multiple indoor units; α represents the first weight coefficient corresponding to the first ratio; (|ΔT_i| / ΔT_max) represents the second ratio, where ΔT_i represents the temperature difference of the i-th indoor unit, and ΔT_max represents the maximum temperature difference of multiple indoor units; β represents the second weight coefficient corresponding to the second ratio.

[0116] In this embodiment, the sum of the first weighting coefficient and the second weighting coefficient is 1, i.e., α + β = 1. By adjusting α and β, the control preferences of the system can be customized. For example, when focusing on the adjustment of real-time temperature difference, β can be set to α, typically α = 0.3~0.4 and β = 0.6~0.7. This means that the system focuses more on quickly eliminating the current temperature deviation, prioritizing response speed, and enabling users to quickly feel temperature changes. If α > β is set, it means that the system focuses more on making gradual adjustments based on the predicted load trend, which is beneficial to system stability and energy efficiency optimization, but the instantaneous response may be slightly slower.

[0117] In this embodiment, after calculating the demand weight of each indoor unit, the sum of the demand weights of multiple indoor units can be calculated. Then, the demand weights of each indoor unit are normalized based on this sum to obtain the final opening degree allocation ratio. Specifically, the opening degree allocation ratio of each indoor unit can be calculated according to the following formula: R_i=W_i / (ΣW_i)(9; Where R_i represents the opening ratio of the i-th indoor unit; W_i represents the demand weight of the i-th indoor unit; and ΣW_i represents the sum of the demand weights of multiple indoor units.

[0118] In this embodiment, by normalizing the demand weights of all indoor units, the sum of the opening allocation ratios of each indoor unit is 1, thereby ensuring that the total refrigerant flow of the system can be strictly allocated according to the relative urgency of the demand of each indoor unit. The indoor unit with the larger demand weight receives a larger share of refrigerant (R_i), thus achieving dynamic and optimal refrigerant flow scheduling under the overall system capacity constraints.

[0119] In one feasible implementation, the step of determining the theoretical fan speed of each indoor unit based on the first ratio and the second ratio may specifically include: determining a third ratio based on the first ratio and the second ratio; determining a first fan speed based on the third ratio and the speed difference between the maximum effective fan speed and the minimum effective fan speed of each indoor unit; and determining the sum of the first fan speed and the minimum effective fan speed as the theoretical fan speed of each indoor unit.

[0120] In this embodiment, the third ratio is used to comprehensively reflect the load and temperature control deviation of each indoor unit. The product of the first ratio and the second ratio can be determined as this third ratio.

[0121] In this implementation, the product relationship is a strongly coupled one. The product is only large when both the predicted demand and the real-time temperature difference are significant. This means that when indoor units face both high future loads and poor current conditions, high fan speeds are required for powerful heat exchange. Conversely, if either factor is small, the product decreases, and the fan speed also decreases. This relationship better reflects the combined impact of the two dimensions than a simple weighted sum.

[0122] In this embodiment, the first fan speed represents the adjustable portion of the theoretical fan speed. The speed difference between the maximum and minimum effective fan speeds of each indoor unit represents the effective speed range that the fan of each indoor unit can be adjusted. By multiplying the third ratio by the speed difference, the amount of speed increase required for the fan from its minimum speed can be accurately calculated.

[0123] In practical implementation, the theoretical fan speed of each indoor unit can be calculated using the following formula: Fan_theoretical_i=Fan_min+(Fan_max-Fan_min)×(C_demand_i / C_demand_max)×(|ΔT_i| / ΔT_max) (10); Where Fan_theoretical_i represents the theoretical fan speed of the i-th indoor unit; Fan_min represents the minimum effective fan speed; Fan_max represents the maximum effective fan speed; (C_demand_i / C_demand_max) represents the first ratio; (|ΔT_i| / ΔT_max) represents the second ratio; and (C_demand_i / C_demand_max)×(|ΔT_i| / ΔT_max) represents the third ratio.

[0124] In this embodiment, by adding the minimum effective fan speed Fan_min of each indoor unit to the first fan speed of each indoor unit, it is ensured that even if the demand of the indoor unit is extremely low (the third ratio is close to 0), its theoretical fan speed is at least the minimum allowable speed, which guarantees basic air circulation and avoids problems such as a sharp drop in heat exchange efficiency, inaccurate temperature measurement by the sensor, and poor user experience (such as feeling stuffy) caused by the fan stopping.

[0125] To verify the universality of the above air conditioning control method, a test system including various indoor unit types such as ducted air conditioners, four-way ceiling-mounted air conditioners, and ordinary wall-mounted air conditioners was built on the multi-split system platform, and the following comparative tests were conducted.

[0126] The test system is configured as follows: Outdoor unit: Model A, rated capacity 120.

[0127] Indoor unit combination (one to four): Ductless air conditioner (embedded, high static pressure) × 1 unit (capacity: 45); Four-sided ceiling air conditioner × 1 unit (capacity: 45); Wall-mounted air conditioner x2 (capacity: 28 x 2).

[0128] Test environment: 6P environment laboratory, simulating real user scenarios.

[0129] Comparison benchmark: The same hardware system was used, running both the original control logic and the intelligent collaborative frequency conversion control logic of this solution. Table 1 shows a comparison of test results under different operating conditions.

[0130] Table 1 Test Result Comparison Table

[0131] Analysis of the test results data leads to the following conclusions: (1) Verification of universality: The present invention can work stably in complex systems with mixed operation of different types of indoor units (duct unit, ceiling unit, wall unit) and shows significant performance improvement, proving its excellent platform adaptability.

[0132] (2) Consistent performance improvement: 1) Energy saving rate: Significantly improved (18%-25%), due to the algorithm's accurate matching of the overall supply and demand balance of the system, avoiding excessive energy output. 2) Comfort: Temperature fluctuation range is greatly reduced (≤1℃), thanks to advanced energy demand prediction and coordinated fine-tuning of fans and valves, especially for ducted air conditioners, which are prone to temperature delays and fluctuations. 3) User experience: Satisfaction is greatly improved, especially under start-stop changes and quiet nighttime operation conditions, the temperature control of the system controlled by this invention is more stable and quieter.

[0133] This application's embodiments introduce an air conditioning control algorithm based on multivariate prediction and collaborative intelligent control, achieving a significant improvement in the operational efficiency and comfort of multi-split air conditioning systems. Firstly, in terms of energy efficiency, the system dynamically predicts the required capacity of each indoor unit and, based on this, collaboratively adjusts the compressor frequency, electronic expansion valve opening, and indoor fan speed. This achieves precise matching between the system's total output capacity and real-time total demand, preventing energy waste caused by overcooling, overheating, and frequent start-stop cycles. Actual measured average energy savings exceed 20%. Secondly, in terms of comfort, a dynamic weighted allocation algorithm based on required capacity and real-time temperature difference ensures that refrigerant and airflow resources prioritize and quickly respond to the most urgent indoor unit needs. Simultaneously, combined with a valve coordination mechanism based on evaporator temperature feedback, it effectively suppresses room temperature fluctuations, stabilizing temperature control accuracy within a range of ±0.5℃, significantly improving the uniformity and stability of the temperature field. Ultimately, the solution perfectly inherits and enhances the potential of the existing multi-split air conditioning system's hardware platform. Through pure software algorithm upgrades, it achieves deep optimization of air conditioning performance at zero hardware cost, significantly improving user comfort in multi-indoor unit scenarios.

[0134] To facilitate better implementation of the air conditioning control method of this application, this application also provides an air conditioning control device based on the above-described air conditioning control method. The meanings of the terms used are the same as in the above-described air conditioning control method, and specific implementation details can be found in the descriptions of the method embodiments.

[0135] Based on the same inventive concept, and referring to Figure 6 This application provides an air conditioning control device 600. The air conditioner includes an outdoor unit and a plurality of indoor units connected to the outdoor unit. The air conditioning control device 600 includes: The parameter acquisition module 601 is used to acquire the required capacity of each indoor unit, the temperature difference between the indoor temperature and the set temperature; The first determining module 602 is used to determine the target compressor frequency of the outdoor unit based on the required capacity and the current compressor frequency; The second determining module 603 is used to determine the target valve opening and target fan speed of each indoor unit based on the required capacity and temperature difference; The air conditioning control module 604 is used to control the air conditioner based on the target compressor frequency, target valve opening degree and target fan speed.

[0136] In one embodiment, the first determining module 602 includes: The total capacity determination submodule is used to determine the total required capacity by summing the required capacity of each indoor unit; The deviation determination submodule is used to determine the capacity demand deviation based on the total demand capacity and the current compressor frequency; The adjustment amount determination submodule is used to determine the target frequency adjustment amount based on the capacity demand deviation; The frequency determination submodule is used to determine the target compressor frequency of the outdoor unit by summing the target frequency adjustment amount and the current compressor frequency.

[0137] In one embodiment, the adjustment amount determination submodule includes: The basic adjustment parameter determination unit is used to determine the basic adjustment parameters based on the outdoor temperature and the system performance parameters of the air conditioner. The basic adjustment parameters include basic proportional adjustment parameters, basic integral adjustment parameters, and basic derivative adjustment parameters. The capacity change rate determination unit is used to determine the capacity change rate based on the capacity demand deviation and the historical capacity demand deviation before a preset time period. The correction amount determination unit is used to determine the correction amount of the basic adjustment parameters based on the capacity demand deviation, the capacity change rate, and a preset fuzzy rule table; wherein, the fuzzy rule table is used to characterize the correspondence between the capacity demand deviation and the capacity change rate and the correction amount; The adjustment parameter correction unit is used to correct the basic adjustment parameters based on the correction amount to obtain the target adjustment parameters; The adjustment amount determination unit is used to determine the target frequency adjustment amount based on the target adjustment parameters, capacity demand deviation, and capacity change rate.

[0138] In one embodiment, the second determining module 603 includes: The first determination submodule is used to determine the opening ratio and theoretical fan speed of each indoor unit based on the required capacity and temperature difference. The valve opening determination submodule is used to determine the basic valve opening of each indoor unit based on its rated capacity, and to determine the target valve opening of each indoor unit based on its basic valve opening and valve opening allocation ratio. The speed determination submodule is used to correct the theoretical fan speed of each indoor unit based on the evaporation temperature of each indoor unit, so as to obtain the target fan speed of each indoor unit.

[0139] In one embodiment, the first determining submodule includes: The ratio determination unit is used to determine the first ratio between the required capacity of each indoor unit and the maximum required capacity, and the second ratio between the temperature difference of each indoor unit and the maximum temperature difference; wherein, the maximum required capacity is the maximum value of the required capacity of multiple indoor units, and the maximum temperature difference is the maximum value of the temperature difference of multiple indoor units. The parameter determination unit is used to determine the opening distribution ratio and theoretical fan speed of each indoor unit based on the first ratio and the second ratio.

[0140] In one embodiment, the parameter determination unit includes: The weight determination sub-unit is used to perform a weighted summation of the first ratio and the second ratio to obtain the demand weight of each indoor unit; the demand weight represents the urgency of the demand for each indoor unit. The allocation ratio determination sub-unit is used to determine the opening ratio of each indoor unit by the ratio of the demand weight of each indoor unit to the sum of the demand weights of multiple indoor units.

[0141] In one embodiment, the parameter determination unit includes: The ratio determination subunit is used to determine the third ratio based on the first ratio and the second ratio; The first speed determination subunit is used to determine the first fan speed of each indoor unit based on the third ratio and the speed difference between the maximum effective fan speed and the minimum effective fan speed of each indoor unit. The second speed determination subunit is used to determine the sum of the first fan speed and the minimum effective fan speed as the theoretical fan speed of each indoor unit.

[0142] By adopting the technical solution of this application embodiment, through the coordinated control based on the required capacity and temperature difference of multiple indoor units, the compressor frequency, valve opening degree and fan speed can be optimized in a coordinated manner. While significantly improving the system energy efficiency, it can effectively suppress room temperature fluctuations, thereby greatly improving user comfort in multi-indoor unit scenarios. At the same time, without modifying the existing hardware, it can achieve in-depth optimization of the system performance of the target multi-split air conditioner with zero modification cost.

[0143] Specific limitations regarding the air conditioning control device 600 can be found in the limitations of the air conditioning control method described above, and will not be repeated here. Each module in the aforementioned air conditioning control device 600 can be implemented entirely or partially through software, hardware, or a combination thereof. These modules can be embedded in hardware or independently of the processor in a computer device, or stored in software in the memory of a computer device, so that the processor can call and execute the operations corresponding to each module.

[0144] In addition, this application also provides an electronic device, such as Figure 7 As shown, it illustrates the structural diagram of the electronic device involved in this application, specifically: The electronic device may include components such as a processor 701 with one or more processing cores and a memory 702 with one or more computer-readable storage media. Those skilled in the art will understand that... Figure 7 The electronic device structure shown does not constitute a limitation on the electronic device and may include more or fewer components than shown, or combine certain components, or have different component arrangements. Wherein: The processor 701 is the control center of the electronic device. It connects various parts of the electronic device via various interfaces and lines. By running or executing software programs and / or modules stored in the memory 702, and by calling data stored in the memory 702, it performs various functions and processes data, thereby providing overall monitoring of the electronic device. Optionally, the processor 701 may include one or more processing cores; preferably, the processor 701 may integrate an application processor and a modem processor, wherein the application processor mainly handles the operating system, user interface, and applications, and the modem processor mainly handles wireless communication. It is understood that the modem processor may not be integrated into the processor 701.

[0145] The memory 702 can be used to store software programs and modules. The processor 701 executes various functional applications and data processing by running the software programs and modules stored in the memory 702. The memory 702 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, application programs required for at least one function (such as sound playback function, image playback function, etc.), etc.; the data storage area may store data created according to the use of the electronic device, etc. In addition, the memory 702 may include high-speed random access memory, and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 702 may also include a memory controller to provide the processor 701 with access to the memory 702.

[0146] In one feasible implementation, the electronic device further includes a power supply 703 that supplies power to the various components. Preferably, the power supply 703 can be logically connected to the processor 701 through a power management system, thereby enabling functions such as charging, discharging, and power consumption management through the power management system. The power supply 703 may also include one or more DC or AC power supplies, recharging systems, power equipment debugging circuits, power converters or inverters, power status indicators, and other arbitrary components.

[0147] In one feasible implementation, the electronic device may further include an input unit 704, which can be used to receive input digital or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.

[0148] Although not shown, the electronic device may also include a display unit, etc., which will not be described in detail here. Specifically, in this embodiment, the processor 701 in the electronic device loads the executable files corresponding to the processes of one or more application programs into the memory 702 according to the following instructions, and the processor 701 runs the application programs stored in the memory 702, thereby implementing the steps in any of the air conditioning control methods provided in the embodiments of this application.

[0149] Those skilled in the art will understand that Figure 7 The structure shown is merely a block diagram of a portion of the structure related to the present application and does not constitute a limitation on the electronic device to which the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0150] In one feasible implementation, an electronic device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the methods described in any embodiment of this application.

[0151] In one feasible implementation, a computer-readable storage medium is provided having a computer program stored thereon, which, when executed by a processor, implements the methods described in any embodiment of this application.

[0152] In one feasible implementation, a computer program product is also proposed, comprising a computer program or instructions that, when executed by a processor, implement the methods described in any embodiment of this application.

[0153] For details on the implementation of each of the above operations, please refer to the previous examples, which will not be repeated here.

[0154] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be performed by instructions, or by instructions controlling related hardware. These instructions can be stored in a computer-readable storage medium and loaded and executed by a processor.

[0155] Therefore, this application provides a computer-readable storage medium storing a computer program that can be loaded by a processor to execute the steps of any of the air conditioning control methods provided in this application.

[0156] For details on the implementation of each of the above operations, please refer to the previous examples, which will not be repeated here.

[0157] The computer-readable storage medium may include: read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0158] Since the instructions stored in the computer-readable storage medium can execute the steps of any of the air conditioning control methods provided in this application, the beneficial effects that any of the air conditioning control methods provided in this application can achieve can be realized, as detailed in the preceding embodiments, and will not be repeated here.

[0159] Finally, it should be noted that in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or terminal device that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or terminal device. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or terminal device that includes said element.

[0160] The above provides a detailed description of an air conditioning control method, apparatus, electronic device, and computer-readable storage medium provided in this application. Specific examples have been used to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only for the purpose of helping to understand the method and core ideas of the present invention. At the same time, those skilled in the art will recognize that there will be changes in the specific implementation methods and application scope based on the ideas of the present invention. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. An air conditioning control method, wherein the air conditioner includes an outdoor unit and a plurality of indoor units connected to the outdoor unit, characterized in that, The method includes: Obtain the required capacity of each indoor unit, the temperature difference between the indoor temperature and the set temperature; Based on the required capacity and the current compressor frequency, determine the target compressor frequency for the outdoor unit; Based on the required capacity and the temperature difference, determine the target valve opening and target fan speed for each indoor unit; The air conditioner is controlled based on the target compressor frequency, the target valve opening degree, and the target fan speed.

2. The air conditioning control method according to claim 1, characterized in that, Determining the target compressor frequency of the outdoor unit based on the required capacity and the current compressor frequency includes: The total required capacity is determined by summing the required capacity of each indoor unit. Based on the total demand capacity and the current compressor frequency, determine the capacity demand deviation; Based on the aforementioned capacity demand deviation, determine the target frequency adjustment amount; The sum of the target frequency adjustment and the current compressor frequency is determined as the target compressor frequency of the outdoor unit.

3. The air conditioning control method according to claim 2, characterized in that, Determining the target frequency adjustment amount based on the capacity demand deviation includes: Based on the outdoor temperature and the system performance parameters of the air conditioner, basic adjustment parameters are determined; the basic adjustment parameters include basic proportional adjustment parameters, basic integral adjustment parameters, and basic derivative adjustment parameters. The capacity change rate is determined based on the capacity demand deviation and the historical capacity demand deviation before the preset time period. Based on the capacity demand deviation, the capacity change rate, and a preset fuzzy rule table, the correction amount of the basic adjustment parameter is determined; wherein, the fuzzy rule table is used to characterize the correspondence between the capacity demand deviation, the capacity change rate, and the correction amount; The target adjustment parameter is obtained by correcting the basic adjustment parameter based on the correction amount. The target frequency adjustment amount is determined based on the target adjustment parameters, the capacity demand deviation, and the capacity change rate.

4. The air conditioning control method according to claim 1, characterized in that, The determination of the target valve opening and target fan speed for each indoor unit based on the required capacity and the temperature difference includes: Based on the required capacity and the temperature difference, determine the opening ratio of each indoor unit and the theoretical fan speed; Based on the rated capacity of each indoor unit, determine the basic opening degree of each indoor unit, and based on the basic opening degree and opening degree distribution ratio of each indoor unit, determine the target valve opening degree of each indoor unit. Based on the evaporation temperature of each indoor unit, the theoretical fan speed of each indoor unit is corrected to obtain the target fan speed of each indoor unit.

5. The air conditioning control method according to claim 4, characterized in that, The determination of the opening ratio and theoretical fan speed of each indoor unit based on the required capacity and the temperature difference includes: A first ratio is determined between the required capacity and the maximum required capacity of each indoor unit, and a second ratio is determined between the temperature difference between each indoor unit and the maximum temperature difference; wherein, the maximum required capacity is the maximum value of the required capacity of the plurality of indoor units, and the maximum temperature difference is the maximum value of the temperature difference of the plurality of indoor units; Based on the first ratio and the second ratio, the opening ratio of each indoor unit and the theoretical fan speed are determined.

6. The air conditioning control method according to claim 5, characterized in that, The determination of the opening degree allocation ratio of each indoor unit based on the first ratio and the second ratio includes: The first ratio and the second ratio are weighted and summed to obtain the demand weight of each indoor unit; the demand weight represents the urgency of the demand for each indoor unit. The ratio of the demand weight to the sum of the demand weights of the multiple indoor units is determined as the opening degree allocation ratio of each indoor unit.

7. The air conditioning control method according to claim 5, characterized in that, The determination of the theoretical fan speed of each indoor unit based on the first ratio and the second ratio includes: Based on the first ratio and the second ratio, a third ratio is determined; Based on the third ratio and the speed difference between the maximum and minimum effective fan speeds of each indoor unit, the first fan speed of each indoor unit is determined. The sum of the first fan speed and the minimum effective fan speed is determined as the theoretical fan speed of each indoor unit.

8. An air conditioning control device, the air conditioner comprising an outdoor unit and a plurality of indoor units connected to the outdoor unit, characterized in that, The device includes: The parameter acquisition module is used to obtain the required capacity of each indoor unit, the temperature difference between the indoor temperature and the set temperature; The first determining module is used to determine the target compressor frequency of the outdoor unit based on the required capacity and the current compressor frequency; The second determining module is used to determine the target valve opening and target fan speed of each indoor unit based on the required capacity and the temperature difference; An air conditioning control module is used to control the air conditioner based on the target compressor frequency, the target valve opening degree, and the target fan speed.

9. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the air conditioning control method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the air conditioning control method as described in any one of claims 1 to 7.

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