An air conditioner control method and device, electronic equipment and storage medium

Abstract

The application relates to the technical field of air conditioner control, in particular to an air conditioner control method and device, electronic equipment and a storage medium, which are used to balance the capacity demand and energy efficiency demand of an air conditioner. The method comprises the following steps: for an air conditioner of a target type, starting a capacity adjustment mode, controlling the rotating speed of a refrigeration device of the air conditioner according to a closed-loop control method, so that the temperature of a working area where the air conditioner is located reaches a target temperature; if the air conditioner meets a first mode switching condition, starting an energy efficiency adjustment mode, inputting the current refrigeration capacity of the air conditioner into a trained neural network model, determining a target rotating speed ratio corresponding to an expected energy efficiency value; and controlling the rotating speed of the refrigeration device according to the target rotating speed ratio, so that the energy efficiency value of the air conditioner is adjusted to the expected energy efficiency value while the target temperature is maintained. Since the double control strategy of the capacity adjustment mode and the energy efficiency adjustment mode is adopted, the operation stability of the air conditioner is improved, and the energy efficiency of the air conditioner is further improved.

Description

Technical Field

[0001] This application relates to the field of air conditioner control technology, and in particular to an air conditioner control method, device, electronic device and storage medium. Background Technology

[0002] Air-cooled direct expansion air conditioners are a common type of air conditioning equipment. Their main working principle involves using energy-consuming components such as compressors, evaporators, condensers, and expansion valves to draw in indoor air, cool it, and then expel the cooled air, thereby regulating indoor temperature. During operation, the compressor, evaporator fan, and condenser fan consume a significant amount of energy. Therefore, effectively controlling these components to meet capacity requirements while improving energy efficiency is a crucial challenge for air-cooled direct expansion air conditioning technology.

[0003] The relevant technologies primarily employ Proportional-Integral-Derivative (PID) control methods. Based on the set target return or supply air temperature and the actual return or supply air temperature, the target cooling demand is calculated. Then, the speeds of the compressor, evaporator fan, and condenser fan are adjusted to meet this demand. Therefore, these technologies mainly use temperature as the control objective and aim to balance the load on the load side and the air conditioning system, thus matching the capacity adjustment requirements. However, these control methods primarily focus on capacity requirements and fail to fully explore the energy efficiency requirements of the air conditioning system, resulting in a sacrifice of energy efficiency while meeting capacity demands.

[0004] In conclusion, how to balance the capacity and energy efficiency requirements of air conditioners is an urgent issue that needs to be addressed. Summary of the Invention

[0005] In order to add multi-hop service authorization instructions to the existing international standard protocol of the registration process, embodiments of this application provide a communication method, apparatus, electronic device and storage medium.

[0006] In a first aspect, embodiments of this application provide an air conditioning control method, the method comprising:

[0007] For the target model of air conditioner, the start-up capacity adjustment mode controls the speed of the air conditioner's refrigeration components according to the closed-loop control method, so that the temperature of the working area where the air conditioner is located reaches the target temperature.

[0008] If the air conditioner meets the first mode switching condition, the energy efficiency adjustment mode is activated, and the current cooling capacity of the air conditioner is input into a trained neural network model to determine the target speed ratio corresponding to the expected energy efficiency value. The neural network model is trained based on historical data of the air conditioner under the target model. The first mode switching condition is determined based on the temperature of the working area, whether the air conditioner is alarming, and the operating status of the air conditioner. The expected energy efficiency value is greater than the current energy efficiency value of the air conditioner.

[0009] The rotational speed of the refrigeration device is controlled according to the target rotational speed ratio, so as to adjust the energy efficiency value of the air conditioner to the desired energy efficiency value while maintaining the target temperature.

[0010] Secondly, embodiments of this application provide an air conditioning control device, the device comprising:

[0011] The capacity adjustment unit is used to activate the capacity adjustment mode for the target model of air conditioner and control the speed of the air conditioner's refrigeration components according to the closed-loop control method so that the temperature of the working area where the air conditioner is located reaches the target temperature.

[0012] The first switching unit is configured to activate the energy efficiency adjustment mode if the air conditioner meets the first mode switching condition, input the current cooling capacity of the air conditioner into a trained neural network model, and determine the target speed ratio corresponding to the expected energy efficiency value; the neural network model is trained based on historical data of the air conditioner under the target model; the first mode switching condition is determined based on the temperature of the working area, whether the air conditioner is alarming, and the operating status of the air conditioner; the expected energy efficiency value is greater than the current energy efficiency value of the air conditioner.

[0013] The control unit is used to control the rotation speed of the refrigeration device according to the target rotation speed ratio, so as to adjust the energy efficiency value of the air conditioner to the desired energy efficiency value while maintaining the target temperature.

[0014] In some embodiments, the refrigeration device includes a compressor, an internal fan, and an external fan, and the target speed ratio is the ratio of the target compressor speed point, the target internal fan speed point, and the target external fan speed point;

[0015] The control unit is specifically used for:

[0016] The rotational speed of the outdoor fan is controlled to the target outdoor fan speed point, and the speed of the compressor and the indoor fan is controlled using the capacity adjustment mode until the air conditioner is in a stable operating state.

[0017] The compressor speed and the internal fan speed are controlled based on the difference between the current speed of the compressor and the target compressor speed, and the difference between the current speed of the internal fan and the target internal fan speed.

[0018] In some embodiments, the control unit is specifically used for:

[0019] If the difference between the current speed of the compressor and the target compressor speed is greater than a first preset difference, and the difference between the current speed of the internal fan and the target internal fan speed is greater than a second preset difference, then the speed of the refrigeration device is controlled through the first energy efficiency regulation sub-mode.

[0020] If the difference between the current speed of the compressor and the target compressor speed is not greater than the first preset difference, or the difference between the current speed of the internal fan and the target internal fan speed is not greater than the second preset difference, then the speed of the refrigeration device is controlled through the second energy efficiency regulation sub-mode.

[0021] Wherein, the first preset difference is greater than the second preset difference, and the adjustment time of the first energy efficiency adjustment sub-mode and the second energy efficiency adjustment sub-mode are different.

[0022] In some embodiments, the adjustment duration of the first energy efficiency regulation sub-mode is greater than the adjustment duration of the second energy efficiency regulation sub-mode.

[0023] In some embodiments, the first energy efficiency regulation sub-mode includes a first control method and a second control method, and the control unit is specifically used for:

[0024] The rotation speed of the cooling device is controlled by alternating between the first control mode and the second control mode, and the switching between the first control mode and the second control mode is performed each time a preset control switching condition is met.

[0025] The control switching condition is that the air conditioner is in a stable operating state.

[0026] In some embodiments, the control unit is specifically used for:

[0027] If the current speed of the compressor is less than the target compressor speed, and the current speed of the internal fan is greater than the target internal fan speed, then the first control method is first used to control the speed of the refrigeration device.

[0028] If the current speed of the compressor is greater than the target compressor speed, and the current speed of the internal fan is less than the target internal fan speed, then the second control method is first used to control the speed of the refrigeration device.

[0029] In some embodiments, the first control method is: using a first step to control the current speed of the internal fan to tend towards the target internal fan speed point, and using the capacity adjustment mode to control the speed of the compressor and the external fan;

[0030] The second control method is as follows: the current speed of the compressor is controlled to move towards the target compressor speed point using the first step length control, and the speed of the internal fan and the external fan is controlled using the capacity adjustment mode;

[0031] The first step length is positively correlated with the difference between the current speed of the internal fan and the target internal fan speed point; the first step length is positively correlated with the difference between the current speed of the compressor and the target compressor speed point.

[0032] In some embodiments, the control unit is specifically used for:

[0033] If the current speed of the compressor is less than the target compressor speed, and the current speed of the internal fan is greater than the target internal fan speed, then the speed of the external fan is kept at the target external fan speed, and the current speed of the compressor is controlled to move toward the target compressor speed using a preset step size. After a preset control time is reached, the current speed of the internal fan is controlled to move toward the target internal fan speed using the preset step size.

[0034] If the current speed of the compressor is not less than the target compressor speed point, or the current speed of the internal fan is not greater than the target internal fan speed point, then the speed of the external fan is kept at the target external fan speed point, and the current speed of the compressor is controlled to move toward the target compressor speed point using the preset step size, and the current speed of the internal fan is controlled to move toward the target internal fan speed point.

[0035] In some embodiments, the control unit is further configured to:

[0036] In the first energy efficiency adjustment sub-mode, if the energy efficiency value of the air conditioner is the desired energy efficiency value, or the speed of the refrigeration device reaches the target speed ratio, then the speed of the refrigeration device is stopped from being controlled; when the air conditioner has been in a stable operating state for a preset operating time, the capacity adjustment mode is activated.

[0037] In the second energy efficiency adjustment sub-mode, if the speed of the refrigeration device reaches the target speed ratio, the speed of the refrigeration device is stopped; when the air conditioner reaches the preset running time in a stable operating state, the capacity adjustment mode is activated.

[0038] In some embodiments, the apparatus further includes:

[0039] The second switching unit is used to detect the current cooling capacity of the air conditioner at preset switching intervals, and input the current cooling capacity of the air conditioner into a trained neural network model to determine the target speed ratio corresponding to the current expected energy efficiency value.

[0040] If the air conditioner meets the second mode switching condition, the energy efficiency adjustment mode is activated; otherwise, the capacity adjustment mode is maintained. The second mode switching condition is determined based on the difference between the rotational speed of the refrigeration device and the current target rotational speed.

[0041] In some embodiments, the historical data includes historical operating conditions, historical rotational speed of the refrigeration device, historical cooling capacity, and historical energy efficiency values; the neural network model of the first switching unit is trained in the following manner:

[0042] The neural network model is optimized by taking the historical operating conditions and historical speed of the air conditioner under the target model as inputs, the historical operating conditions and predicted cooling capacity as constraints, and the expected energy efficiency value corresponding to the predicted cooling capacity as the optimization target.

[0043] In some embodiments, the first mode switching condition is:

[0044] While maintaining the target temperature, the rotation speed of the refrigeration device remains unchanged and the air conditioner does not issue any alarms for a preset duration.

[0045] Thirdly, embodiments of this application provide an electronic device, including:

[0046] Memory, used to store program instructions;

[0047] The processor is used to call the program instructions stored in the memory and execute the above-mentioned air conditioning control method according to the obtained program instructions.

[0048] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the aforementioned air conditioning control method.

[0049] Fifthly, embodiments of this application provide a computer program product, including a computer program stored in a computer-readable storage medium; when a processor of an electronic device reads the computer program from the computer-readable storage medium, the processor executes the computer program, causing the electronic device to perform the aforementioned air conditioning control method.

[0050] This application provides an air conditioning control method, device, electronic device, and storage medium. Specifically, for a target air conditioner model, a capacity adjustment mode is activated. The rotation speed of the air conditioner's refrigeration components is controlled using a closed-loop control method to ensure the temperature in the working area reaches the target temperature. The capacity adjustment mode initially achieves stable operation of the air conditioner. If the air conditioner meets a first mode switching condition, an energy efficiency adjustment mode is activated. The current cooling capacity of the air conditioner is input into a trained neural network model to determine the target rotation speed ratio corresponding to the desired energy efficiency value. The neural network model fits the input variables and the target to achieve precise control of the refrigeration components. Based on the target rotation speed ratio, the rotation speed of the refrigeration components is controlled to adjust the air conditioner's energy efficiency value to the desired value while maintaining the target temperature. Because this application embodiment combines capacity adjustment and energy efficiency adjustment modes by setting a first mode switching condition, this dual control strategy improves both the operational stability and energy efficiency of the air conditioner. Attached Figure Description

[0051] Figure 1 This is a schematic diagram illustrating an application scenario of an air conditioning control method provided in an embodiment of this application;

[0052] Figure 2 A flowchart illustrating the implementation of an air conditioning control method provided in this application embodiment;

[0053] Figure 3 This is a schematic diagram of the structure of an air conditioner provided in an embodiment of this application;

[0054] Figure 4 A flowchart of a neural network model provided in an embodiment of this application;

[0055] Figure 5 A flowchart of a mode switching method provided in an embodiment of this application;

[0056] Figure 6 This is a schematic diagram of the structure of an electronic device for generating unit test code according to an embodiment of this application;

[0057] Figure 7 This is a schematic diagram of the hardware structure of an electronic device using an embodiment of this application;

[0058] Figure 8This is a schematic diagram of the hardware structure of a computing device according to an embodiment of this application. Detailed Implementation

[0059] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0060] The following describes some of the concepts involved in the embodiments of this application.

[0061] Stable operation of an air conditioner refers to a state where the speed of the refrigeration components remains unchanged, and the temperature in the working area where the air conditioner is located reaches the target temperature without alarm and reaches the preset stable operating time.

[0062] Air-cooled direct expansion air conditioner: refers to an air-cooled air conditioner that uses a direct expansion refrigeration cycle. This air conditioning system includes a compressor to drive the direct expansion refrigeration cycle; the outdoor side uses air-cooled heat dissipation, generally using an air-cooled condenser.

[0063] Optimal speed ratio: also known as target speed ratio, is a set of speed ratio values ​​of refrigeration devices calculated by a neural network model. It is the speed ratio of the compressor, indoor fan and outdoor fan when the air conditioner energy efficiency is optimal (i.e., the expected energy efficiency). The speed of each device in the optimal speed ratio is the optimal speed point (i.e., the target compressor speed point, the target indoor fan speed point and the target outdoor fan speed point).

[0064] Capacity Adjustment Mode: This mode uses PID control to calculate the target cooling demand based on the preset return or supply air temperature and the actual return or supply air temperature. The target cooling demand is then met by adjusting the compressor and fan speeds. This mode primarily uses temperature as the control target and aims to balance the load on the load side and the air conditioning system, thus matching the needs of air conditioning capacity adjustment.

[0065] Energy efficiency regulation mode: The new mode of air conditioning control method proposed in this application embodiment is to automatically control the air conditioner and optimize the speed of the refrigeration device with the energy efficiency of the air conditioner as the target.

[0066] Actuator step size: This refers to the magnitude or increment of each movement of the actuator. In this embodiment, it refers to the unit change in the speed adjustment of the compressor, indoor fan, and outdoor fan. When speed adjustment is required, the actuator adjusts in a certain step size, rather than jumping immediately to the final target value. This is because sudden, large-amplitude adjustments can cause instability and may even damage the air conditioner. For example, assuming the actuator step size is 1%, the compressor speed will increase or decrease by 1% each time the speed is adjusted. Through small, gradual adjustments, the system can gradually approach the optimal speed point, thereby avoiding shocks and vibrations caused by excessive changes. This approach helps ensure a smooth transition of the air conditioner to a new operating state and also reduces wear and tear on the components within the air conditioner.

[0067] Neural network models can be used for target prediction and optimization under multivariate conditions. Their learning process usually involves backpropagation algorithms, updating weights through optimization methods such as gradient descent, so that the network can continuously improve its prediction results to minimize the loss function.

[0068] The design concept of the embodiments of this application is briefly introduced below:

[0069] Air-cooled direct expansion air conditioners are a common type of air conditioning equipment, often simply called air-cooled air conditioners. Their main working principle involves using a compressor, evaporator, condenser, and expansion valve to draw in indoor air, cool it, and then expel the cooled air, thus regulating the indoor temperature. During this process, the compressor, evaporator fan (indoor fan), and condenser fan (outdoor fan) consume a significant amount of energy. Therefore, effectively controlling these components to meet capacity requirements while improving energy efficiency is a crucial challenge for air-cooled direct expansion air conditioning technology.

[0070] The relevant technology mainly uses PID control to calculate the target cooling demand based on the preset return or supply air temperature and the actual return or supply air temperature. Then, the compressor and fan speeds are adjusted to meet the target cooling demand. This method primarily uses temperature as the control target and load balance between the load side and the air conditioner as the adjustment objective, matching the unit's capacity adjustment needs. This can generally be called the air conditioner's capacity adjustment mode. In the capacity adjustment mode of air-cooled air conditioners (excluding abnormal and special adjustments), the adjustable components according to the target cooling demand include the indoor fan (control target is supply or return air temperature), the outdoor fan (control target is condensing pressure), the compressor (control target is supply or return air temperature), and the electronic expansion valve (control target is suction superheat). The relevant laws regarding the optimal energy efficiency point of the air conditioner are reflected in the operating states of these three refrigeration components: the indoor fan, the outdoor fan, and the compressor, including the following aspects:

[0071] (1) Regarding the internal fan, assuming the compressor speed remains constant, when the internal fan speed increases, the evaporation pressure rises, the compressor efficiency improves, and the internal fan power consumption also increases. Within a certain range, the overall energy efficiency of the air-cooled air conditioner increases. However, when the internal fan speed continues to increase, the impact of the increased internal fan power consumption on the energy efficiency decrease will be greater than the degree of improvement in compressor efficiency, thus causing the overall energy efficiency of the air-cooled air conditioner to decrease, resulting in an inflection point in energy efficiency at the internal fan speed.

[0072] (2) Similar to the internal fan, regarding the external fan, assuming the compressor speed remains constant, as the external fan speed increases, the condensing pressure decreases, the compressor efficiency improves, and the external fan power consumption also increases. Within a certain range, the overall energy efficiency of the air-cooled air conditioner increases. However, when the external fan speed continues to increase, the impact of the increased external fan power consumption on the decrease in energy efficiency will be greater than the degree of improvement in compressor efficiency, thus causing the overall energy efficiency of the air-cooled air conditioner to decrease, resulting in an inflection point in energy efficiency at the external fan speed.

[0073] (3) Under the same evaporation pressure, condensation pressure and superheat conditions, the efficiency inflection point of the compressor speed is concentrated between 50% and 70% speed.

[0074] However, the control methods in related technologies do not fully explore the energy efficiency requirements of air conditioners, but mainly focus on capacity requirements. In actual operation, they do not actively adjust energy-consuming components with energy efficiency as the direct target, which may lead to a sacrifice of energy efficiency while meeting capacity requirements. Furthermore, due to the strong coupling between capacity adjustment and energy efficiency adjustment—for example, the compressor's evaporation and condensation pressures are affected by the internal and external fan speeds respectively—the three factors affecting the overall energy efficiency interact. Therefore, traditional methods such as function fitting based on the energy efficiency inflection point of a single factor are insufficient to find the optimal energy efficiency point. Thus, in practical applications, it is difficult for the control system to simultaneously consider both capacity and energy efficiency adjustment, posing a significant challenge to the energy efficiency optimization of air conditioners.

[0075] In view of this, the embodiments of this application take into account that in the field of computer room cooling and air conditioning, compared with systems such as chilled water air conditioners that include chilled water units, water pumps and complex pipelines, the air-cooled direct expansion computer room air conditioner system is relatively independent, with fewer variables affecting system energy efficiency and simpler energy efficiency calculation. Therefore, it is possible to refine the energy efficiency calculation and optimization method and form an effective control method.

[0076] For the target model of air conditioner, the capacity adjustment mode is activated, and the rotation speed of the air conditioner's refrigeration components is controlled according to a closed-loop control method to ensure that the temperature in the working area reaches the target temperature. The capacity adjustment mode initially achieves stable operation of the air conditioner. If the air conditioner meets the first mode switching condition, the energy efficiency adjustment mode is activated. The current cooling capacity of the air conditioner is input into a trained neural network model to determine the target rotation speed ratio corresponding to the desired energy efficiency value. The neural network model fits the input variables and the target to achieve precise control of the refrigeration components. Based on the target rotation speed ratio, the rotation speed of the refrigeration components is controlled to adjust the air conditioner's energy efficiency value to the desired energy efficiency value while maintaining the target temperature. Because this embodiment of the application combines the capacity adjustment mode and the energy efficiency adjustment mode by setting the first mode switching condition, this dual control strategy improves the operational stability of the air conditioner while further enhancing its energy efficiency.

[0077] Compared with related technologies, the embodiments of this application mainly solve the following problems:

[0078] (1) How to effectively decouple capacity regulation and energy efficiency regulation in order to achieve the goal of both meeting capacity requirements and improving energy efficiency;

[0079] (2) How to actively adjust the energy efficiency of air conditioners through neural network models to achieve the optimal speed ratio corresponding to the optimal energy efficiency, etc.

[0080] It should be noted that the application scenarios described in the following embodiments of this application are for the purpose of more clearly illustrating the technical solutions of the embodiments of this application, and do not constitute a limitation on the technical solutions provided by the embodiments of this application. As those skilled in the art will know, with the emergence of new application scenarios, the technical solutions provided by the embodiments of this application are also applicable to similar technical problems.

[0081] The following is a brief introduction to the application scenarios to which the technical solutions of the embodiments of this application are applicable. It should be noted that the application scenarios described below are only for illustrating the embodiments of this application and are not intended to limit the scope. In specific implementation, the technical solutions provided by the embodiments of this application can be flexibly applied according to actual needs.

[0082] like Figure 1 The diagram shown illustrates an application scenario of an air conditioning control method provided in this application. The application scenario diagram includes a terminal device 110, a server 120, and an air conditioner 130, which includes a refrigeration device 1301.

[0083] It should be noted that the air conditioning control method in this embodiment can be jointly executed by the terminal device 110, the server 120, and the air conditioner 130. The user can turn on the air conditioner 130 on the terminal device 110 and set the target temperature and the first mode switching condition. For the target model of the air conditioner 130, the server 120 starts the capacity adjustment mode and controls the speed of the air conditioner's cooling device according to the closed-loop control method so that the temperature of the working area where the air conditioner 130 is located reaches the target temperature. If the air conditioner 130 meets the first mode switching condition, the server 120 starts the energy efficiency adjustment mode, inputs the current cooling capacity of the air conditioner 130 into the trained neural network model, and determines the target speed ratio corresponding to the expected energy efficiency value. According to the target speed ratio, the server 120 controls the speed of the cooling device 1301 to adjust the energy efficiency value of the air conditioner 130 to the expected energy efficiency value while maintaining the target temperature.

[0084] In one alternative implementation, the terminal device 110, the server 120, and the air conditioner 130 can communicate via a communication network.

[0085] In one alternative implementation, the communication network is a wired network or a wireless network.

[0086] The following describes the permission verification method provided by the exemplary embodiments of this application in conjunction with the application scenarios described above and with reference to the accompanying drawings. It should be noted that the above application scenarios are only shown to facilitate understanding of the spirit and principles of this application, and the embodiments of this application are not limited in any way in this respect.

[0087] like Figure 2 The diagram shown is a flowchart of an air conditioning control method provided in an embodiment of this application. The specific implementation process of this method is as follows: S201-S203:

[0088] S201: For the target model of air conditioner, the start-up capacity adjustment mode controls the speed of the air conditioner's refrigeration components according to the closed-loop control method so that the temperature of the working area where the air conditioner is located reaches the target temperature.

[0089] The refrigeration components include a compressor, an internal fan (evaporator), and an external fan (condenser).

[0090] like Figure 3 As shown, it is a structural schematic diagram of an air conditioner provided in an embodiment of this application. Figure 3 The components include a compressor, a condenser, an evaporator, and an expansion valve. In this embodiment, the expansion valve is not controlled.

[0091] The working area of ​​the air conditioner can be a residential building, commercial building, industrial facility, etc. The temperature of the working area is the return air temperature, and the corresponding target temperature is the target return air temperature. In addition to the return air temperature, the output temperature of the air conditioner, i.e., the supply air temperature, can also be measured, and the corresponding target temperature is the supply air temperature.

[0092] Specifically, after the air conditioner is turned on, it should first enter the capacity adjustment mode. In this mode, the refrigeration components are controlled according to the PID control method to ensure that the return air temperature or supply air temperature reaches the corresponding target temperature, until the load side and the air conditioner load are balanced.

[0093] In the above implementation, the capacity adjustment mode is activated first, which can effectively decouple the capacity adjustment mode and the energy efficiency adjustment mode to meet the capacity requirements.

[0094] After activating the capacity adjustment mode, determine the timing for activating the energy efficiency adjustment mode as follows:

[0095] S202: If the air conditioner meets the first mode switching conditions, the energy efficiency adjustment mode is activated, and the current cooling capacity of the air conditioner is input into the trained neural network model to determine the target speed ratio corresponding to the expected energy efficiency value.

[0096] The neural network model is trained based on historical data of the target air conditioner model; the first mode switching condition is determined based on the temperature of the working area, whether the air conditioner is alarming, and the operating status of the air conditioner; the expected energy efficiency value is greater than the current energy efficiency value of the air conditioner; the historical data includes historical operating conditions, historical speed of the refrigeration device, historical cooling capacity, and historical energy efficiency value.

[0097] Specifically, the energy efficiency value = cooling capacity / power. Therefore, when the cooling capacity remains unchanged, the power corresponding to the expected energy efficiency value is less than the power in the capacity adjustment mode.

[0098] The first mode switching condition is: while maintaining the target temperature, the speed of the cooling device remains unchanged and the air conditioner does not issue any alarms for a preset duration. The preset duration can be 20 minutes, 30 minutes, etc.

[0099] Specifically, the first mode switching condition is that the speed of each refrigeration device is within the dead zone while maintaining the target temperature, that is, the speed change of the refrigeration device is minimal and within the normal range, making it difficult to measure. The speed within the dead zone can be considered as a constant speed, and the air conditioner has no alarm, that is, the condensing temperature of the air conditioner is not too high or too low. After reaching the preset time, the energy efficiency adjustment mode can be activated, and the current cooling capacity and energy efficiency value of multiple air conditioners are calculated and recorded by the meter and controller, and the average value is taken.

[0100] Once the air conditioner meets the first mode switching conditions mentioned above, the recorded average current cooling capacity is input into the trained neural network model to obtain the corresponding target speed ratio. Alternatively, during the training of the neural network model, the target speed ratios corresponding to the expected energy efficiency values ​​under different cooling capacities can be obtained and recorded. In this case, it is not necessary to input the current cooling capacity into the trained neural network model; the target speed ratio corresponding to the current cooling capacity can be directly looked up in the records.

[0101] Specifically, the cooling capacity can be estimated by fitting the compressor's evaporation and condensation temperatures, as well as its superheat (generally fixed values ​​ranging from 6 to 12 degrees Celsius for the same model of air conditioner). This can be done using a fitting function or a reference table, with a fitting error within 5%. The power of the (indoor and outdoor) fans and compressor can be measured by adding an electricity meter; the energy efficiency value is the cooling capacity divided by the total power. The air conditioner's operating conditions (i.e., supply air temperature, return air temperature, humidity, etc.) can also be effectively measured. Multiple return air temperature sensors can be installed on the return air side of the air conditioner to obtain an accurate return air temperature. Outdoor ambient temperature and humidity can be collected using the same method.

[0102] Based on this, historical data of air conditioner operation is recorded, and an artificial intelligence (AI) algorithm based on a neural network model is used to determine the optimal speed ratio (i.e., target speed ratio) of the indoor fan speed, compressor speed, and outdoor fan speed. This allows for proactive adjustment of the air conditioner's energy efficiency to achieve the optimal energy efficiency point. Furthermore, after implementing energy efficiency optimization control using the AI ​​algorithm, the implementation results are compared with the algorithm results to correct and optimize the model parameters.

[0103] In some embodiments, the neural network model is trained in the following manner:

[0104] The historical operating conditions and historical speed of the air conditioner under the target model are used as inputs, the historical operating conditions and predicted cooling capacity are used as constraints, and the expected energy efficiency value corresponding to the predicted cooling capacity is used as the optimization objective to optimize the neural network model.

[0105] Historical operating conditions include historical return air temperature and historical supply air temperature.

[0106] Specifically, taking a standardized air-cooled direct-expansion air conditioner with a rated cooling capacity of 60kW, a designed return air temperature of 15℃ to 35℃, and a designed operating humidity of 20% to 80% as an example, training is performed before it leaves the factory. The training process mainly involves fitting the relationship between the input variable (historical engine speed) and the optimization objective (expected energy efficiency value) using a neural network model, with the constraint being the currently output predicted cooling capacity. Then, using this predicted cooling capacity and operating conditions as constraints, the target engine speed ratio is automatically determined for the expected energy efficiency value corresponding to the predicted cooling capacity. In this process, the neural network model used contains one input layer, two hidden layers, and one output layer, with 5, 10, and 5 neurons in each layer, respectively. The learning rate is 0.01, the training epochs are 1000, and the number of samples per training session is 100.

[0107] During training, the neural network model determines the target speed ratio at the minimum power (i.e., the desired energy efficiency value) for each cooling capacity.

[0108] The trained neural network model can then be used to obtain the target speed ratio corresponding to the expected energy efficiency value under various cooling capacities.

[0109] In the above implementation, the active adjustment of air conditioner energy efficiency is achieved through a neural network model. The relationship between input variables and optimization targets can be fitted, thereby achieving precise control of refrigeration devices. This not only improves the control accuracy of the air conditioner, but also further improves its energy efficiency, enabling the air conditioner to reach its optimal energy efficiency value.

[0110] After obtaining the target speed ratio using the above method, the air conditioner can be controlled in the following way:

[0111] S203: Control the speed of the refrigeration device according to the target speed ratio, so as to adjust the energy efficiency value of the air conditioner to the desired energy efficiency value while maintaining the target temperature.

[0112] The refrigeration components include a compressor, an internal fan, and an external fan. The target speed ratio is the ratio of the target compressor speed point, the target internal fan speed point, and the target external fan speed point.

[0113] In energy efficiency mode, the target speed ratio corresponding to the current cooling capacity needs to be used to control the speed of the three refrigeration components. However, to avoid a sudden drop in air conditioning capacity caused by simultaneous adjustment of multiple components, a certain time difference is required between the two adjustment actions of the fan and compressor during the control process for a smooth transition. Among them, since the speed of the outdoor fan changes rapidly during the adjustment process, the outdoor fan is controlled first.

[0114] In some embodiments, the speed of the outdoor fan is controlled to the target outdoor fan speed point, and a capacity adjustment mode is adopted to control the speed of the compressor and the indoor fan until the air conditioner is in a stable operating state; the speed of the compressor and the speed of the indoor fan are controlled according to the difference between the current speed of the compressor and the target compressor speed point, and the difference between the current speed of the indoor fan and the target indoor fan speed point.

[0115] Specifically, the outdoor fan speed is first controlled to the target outdoor fan speed point. The compressor and indoor fan are still in capacity adjustment mode so that the air conditioner can reach a stable operating state again when the outdoor fan speed changes. Then the compressor and indoor fan on the indoor side are controlled.

[0116] In some embodiments, the internal fan and compressor are controlled in the following two cases in the following manner:

[0117] Case 1: If the difference between the current speed of the compressor and the target compressor speed is greater than the first preset difference, and the difference between the current speed of the internal fan and the target internal fan speed is greater than the second preset difference, then the speed of the refrigeration device will be controlled through the first energy efficiency regulation sub-mode.

[0118] Scenario 2: If the difference between the current speed of the compressor and the target compressor speed is not greater than the first preset difference, or the difference between the current speed of the indoor fan and the target indoor fan speed is not greater than the second preset difference, then the speed of the refrigeration device is controlled through the second energy efficiency regulation sub-mode.

[0119] Among them, the difference in the first preset is greater than the difference in the second preset, and the adjustment time of the first energy efficiency adjustment sub-mode and the second energy efficiency adjustment sub-mode are different. The adjustment time of the first energy efficiency adjustment sub-mode is longer than the adjustment time of the second energy efficiency adjustment sub-mode.

[0120] Specifically, based on the difference between the compressor and indoor fan speeds and the target speeds, there are two types of adjustment modes: slow adjustment mode (i.e., the first energy efficiency adjustment sub-mode) and fast adjustment mode (i.e., the second energy efficiency adjustment sub-mode). When the compressor speed differs significantly from the target compressor speed and the indoor fan speed also differs significantly from the target indoor fan speed, the first energy efficiency adjustment sub-mode is used. If only the compressor speed or only the indoor fan speed differs significantly, the second energy efficiency adjustment sub-mode is used.

[0121] For example, if the difference between the current speed of the compressor and the target compressor speed exceeds 30%, and the difference between the current speed of the internal fan and the target internal fan speed exceeds 15%, then the first energy efficiency regulation sub-mode is adopted; otherwise, the second energy efficiency regulation sub-mode is adopted.

[0122] For the first energy efficiency adjustment sub-mode, there are two scenarios: one is that the indoor fan speed is higher than the target indoor fan speed while the compressor speed is lower than the target compressor speed; the other is that the indoor fan speed is lower than the target indoor fan speed while the compressor speed is higher than the target compressor speed. If it is scenario one, the compressor speed is first adjusted to approach the target compressor speed, and then the indoor fan speed is adjusted to decrease. Similarly, there is a certain time difference between these two adjustment steps to ensure that the air conditioning capacity does not decrease. If it is scenario two, the indoor fan speed is adjusted first, and then the compressor speed is adjusted.

[0123] In some embodiments, the first energy efficiency regulation sub-mode includes a first control method and a second control method, and the first energy efficiency regulation sub-mode is activated to control the indoor fan and compressor in the following manner:

[0124] The rotation speed of the refrigeration device is controlled by alternating between the first control mode and the second control mode, and the switching between the first control mode and the second control mode is performed each time a preset control switching condition is met.

[0125] The control switching condition is that the air conditioner is in a stable operating state.

[0126] Scenario 1: If the current speed of the compressor is less than the target compressor speed, and the current speed of the internal fan is greater than the target internal fan speed, then the first control method will be used to control the speed of the refrigeration components.

[0127] Scenario 2: If the current speed of the compressor is greater than the target compressor speed and the current speed of the internal fan is less than the target internal fan speed, then the second control method will be used to control the speed of the refrigeration components.

[0128] The first control method is as follows: the current speed of the internal fan is controlled to approach the target internal fan speed point by using the first step length control, and the speed of the compressor and the external fan is controlled by the capacity adjustment mode.

[0129] The second control method is as follows: the current speed of the compressor is controlled to approach the target compressor speed point in the first step, and the speed of the internal fan and the external fan is controlled in the capacity adjustment mode.

[0130] The first step length is positively correlated with the difference between the current speed of the internal fan and the target internal fan speed; the first step length is positively correlated with the difference between the current speed of the compressor and the target compressor speed.

[0131] Specifically, for scenario one, if the compressor speed is lower than the target compressor speed, the compressor speed is controlled to approach the target compressor speed. Once the air conditioner is running stably, the indoor fan speed is then controlled to approach the target indoor fan speed. For scenario two, if the indoor fan speed is lower than the target indoor fan speed, the indoor fan speed is controlled to approach the target indoor fan speed. Once the air conditioner is running stably, the compressor speed is then controlled to approach the target compressor speed.

[0132] Furthermore, to ensure the compressor can keep pace with the internal fan's adjustments and maintain temperature stability, the optimization adjustment steps are refined. This application's embodiments re-tune the actuator step size in the energy efficiency adjustment mode. In the first energy efficiency adjustment sub-mode, the step size adjustment strategy used is a dynamic step size adjustment strategy based on algorithm results. The control step size of the refrigeration device has a minimum value, generally an integer, and is related to the distance between the device's current speed and the optimal speed point. This method is similar to proportional control in PID control. In addition, the differences in adjustment rates between the internal fan, external fan, and compressor need to be fully considered; generally, the fan speed adjustment is faster than the compressor speed adjustment. Therefore, the actuator step size must be differentiated to ensure that the compressor adjustment can keep up with the fan adjustment.

[0133] For example, if the difference between the current internal fan speed and the target internal fan speed is 20%, then when using dynamic step size adjustment, the first adjustment step size is 1 / 2 of the "difference", i.e., 10%, and the second adjustment step size is 1 / 2 of the remaining "difference", i.e., 5%.

[0134] Furthermore, during the aforementioned energy efficiency adjustment process, each time the air conditioner reaches stable operating conditions, the rotational speed and speed ratio of the refrigeration components are recorded and compared with the speed ratio obtained from the neural network model. The neural network model is then retrained based on the difference between the two.

[0135] In the above implementation, the first energy efficiency regulation sub-mode is used to control the situation where there is a large difference from the target speed point. Considering the capacity reduction caused by controlling multiple devices at the same time, the compressor and fan are controlled separately, and a dynamic step size is used in the control process to further ensure the stability and accuracy of the control process.

[0136] The second energy efficiency regulation sub-mode is described below:

[0137] In some embodiments, if the current speed of the compressor is less than the target compressor speed and the current speed of the internal fan is greater than the target internal fan speed, the speed of the external fan is kept at the target external fan speed, and the current speed of the compressor is controlled to move toward the target compressor speed using a preset step size. After a preset control time is reached, the current speed of the internal fan is controlled to move toward the target internal fan speed using a preset step size.

[0138] If the current speed of the compressor is not less than the target compressor speed, or the current speed of the internal fan is not greater than the target internal fan speed, then the speed of the external fan is kept at the target external fan speed. The current speed of the compressor is controlled to move toward the target compressor speed using a preset step size, and the current speed of the internal fan is controlled to move toward the target internal fan speed.

[0139] The preset control duration is a relatively short duration, such as 15 seconds or 20 seconds.

[0140] Specifically, when the speeds of the internal fan and compressor are not significantly different from the target speeds, but the compressor speed is lower than the target speed while the internal fan speed is higher, first adjust the compressor speed to the target compressor speed, then adjust the internal fan. Otherwise, adjust both the compressor and internal fan to the target speeds simultaneously.

[0141] In the above embodiments, for cases where the difference from the target speed point is small, a rapid adjustment method is used to make the speed of the cooling device reach the target speed ratio.

[0142] In addition, adjustment priorities can be set according to the characteristics of energy efficiency regulation: for example, outdoor fan > compressor > indoor fan. The adjustment process can be divided into multiple segments in time. At the same time, energy efficiency value and power are monitored and compared with the data before entering the energy efficiency regulation mode. Based on this, local closed-loop regulation is carried out based on time series data.

[0143] After activating the energy efficiency regulation mode in the above manner, the embodiments of this application can also switch between the energy efficiency regulation mode and the capacity regulation mode in the following ways:

[0144] In the first energy efficiency adjustment sub-mode, if the air conditioner's energy efficiency value is the desired energy efficiency value, or the speed of the refrigeration device reaches the target speed ratio, then the speed of the refrigeration device is stopped from being controlled; when the air conditioner has been in a stable operating state for a preset operating time, the capacity adjustment mode is activated.

[0145] In the second energy efficiency adjustment sub-mode, if the speed of the refrigeration device reaches the target speed ratio, the speed of the refrigeration device is stopped; when the air conditioner reaches the preset running time in a stable operating state, the capacity adjustment mode is activated.

[0146] The preset runtime is a short time, such as 1 minute or 2 minutes.

[0147] Specifically, after the energy efficiency adjustment mode ends, the air conditioner will restart the capacity adjustment mode after it has been running stably for a preset duration.

[0148] In addition, if the exit conditions are met during the energy efficiency adjustment process, the capacity adjustment mode will be activated.

[0149] The exit condition is when the supply air temperature, evaporation temperature, or condensation temperature is too high or too low, causing the air conditioner to alarm.

[0150] In addition, if the conditions for energy efficiency adjustment are met when the air conditioner is in capacity operation mode for a long time, the energy efficiency adjustment mode will be restarted.

[0151] In some embodiments, the current cooling capacity of the air conditioner is detected every preset switching time, and the current cooling capacity of the air conditioner is input into a trained neural network model to determine the target speed ratio corresponding to the current expected energy efficiency value.

[0152] If the air conditioner meets the conditions for switching to the second mode, the energy efficiency adjustment mode will be activated; otherwise, the capacity adjustment mode will be maintained.

[0153] The second mode switching condition is determined based on the difference between the rotational speed of the cooling device and the current target rotational speed. When the difference between the rotational speed of the cooling device and each target rotational speed point in the current target rotational speed ratio exceeds a preset value, the energy efficiency adjustment mode is entered again.

[0154] For example, if the difference between the current speed of the indoor fan and the target indoor fan speed exceeds 15%, the difference between the current speed of the outdoor fan and the target outdoor fan speed exceeds 20%, and the difference between the current speed of the compressor and the target compressor speed exceeds 8%, then the energy efficiency adjustment mode will be entered again if one or all of the above three conditions are met.

[0155] like Figure 4 The diagram shown is a flowchart of a neural network model provided in an embodiment of this application. Specifically, it includes steps S401 to S405:

[0156] S401: Use a uniform model of air-cooled direct expansion air conditioner to determine the air conditioning design conditions;

[0157] S402: Operate the air conditioner under different loads and operating conditions, record data after stable operation, and train a neural network model using a large amount of historical data. Fit the relationship between the input and output variables;

[0158] S403: With operating conditions and fitting ability as constraints, energy efficiency as the optimization target, and the rotational speed of the refrigeration device as the input variable, the target rotational speed ratio is obtained;

[0159] S404: First, enter the capacity adjustment mode. After the first mode switching conditions are met, implement the energy efficiency adjustment mode according to the target speed ratio.

[0160] S405: Compare the implementation results with the algorithm results, and correct and optimize the neural network model.

[0161] like Figure 5The diagram shown is a flowchart of a mode switching method provided in an embodiment of this application. Specifically, it includes steps S501 to S521:

[0162] S501: Startup capability adjustment mode;

[0163] S502: Determine whether the following conditions are met simultaneously: 1. No alarm; 2. The rotation speed of the cooling device remains constant at the target temperature and reaches the preset stabilization time;

[0164] Specifically, if the condition is met, proceed to S503; otherwise, proceed to S502.

[0165] S503: Activate energy efficiency mode;

[0166] S504: Control the speed of the outdoor fan to the target outdoor fan speed point, and use the capacity adjustment mode to control the compressor and indoor fan until the air conditioner is in a stable operating state;

[0167] S505: If the difference between the current speed of the compressor and the target compressor speed is not greater than the first preset difference, and the difference between the current speed of the internal fan and the target internal fan speed is not greater than the second preset difference;

[0168] Specifically, if the above conditions are met, then jump to S513; otherwise, jump to 506.

[0169] S506: First energy efficiency regulation sub-mode;

[0170] S507: If the current speed of the compressor is less than the target compressor speed, the current speed of the internal fan is greater than the target internal fan speed.

[0171] S508: The first step is to control the current speed of the compressor to approach the target compressor speed point, and the capacity adjustment mode is used to control the speed of the internal fan and the external fan.

[0172] S509: The first step is to control the current speed of the internal fan to approach the target internal fan speed, and the capacity adjustment mode is used to control the speed of the compressor and the external fan.

[0173] S510: If the current speed of the compressor is greater than the target compressor speed, the current speed of the internal fan is less than the target internal fan speed.

[0174] S511: The first step is to control the current speed of the compressor to approach the target compressor speed point, and the capacity adjustment mode is used to control the speed of the internal fan and the external fan;

[0175] S512: The first step is to control the current speed of the internal fan to approach the target internal fan speed, and the capacity adjustment mode is used to control the speed of the compressor and the external fan.

[0176] S513: Second energy efficiency regulation sub-mode;

[0177] S514: If the current speed of the compressor is less than the target compressor speed, the current speed of the internal fan is greater than the target internal fan speed.

[0178] S515: Uses a preset step size to control the current speed of the compressor to approach the target compressor speed point, and controls the current speed of the internal fan to approach the target internal fan speed point;

[0179] S516: The current speed of the compressor is controlled to approach the target compressor speed point by using a preset step size, and after the preset control time is reached, the current speed of the internal fan is controlled to approach the target internal fan speed point by using a preset step size.

[0180] S517: If the rotational speed of the cooling device reaches the target speed ratio

[0181] S518: If the energy efficiency value of the air conditioner is the expected energy efficiency value, or the speed of the refrigeration device reaches the target speed ratio;

[0182] Specifically, if the first energy efficiency regulation sub-mode meets the above conditions, then proceed to S519; otherwise, proceed to the judgment in S518.

[0183] S519: Stop controlling the speed of the refrigeration components; after the air conditioner has been in stable operation for a preset operating time, start the capacity adjustment mode.

[0184] S520: Determine the target speed ratio corresponding to the current desired energy efficiency value every preset switching time;

[0185] S521: The conditions for switching to the second mode are met;

[0186] Specifically, if the above conditions are met, proceed to S503; otherwise, proceed to the judgment in S521.

[0187] In this embodiment, for the target model of air conditioner, a capacity adjustment mode is activated, and the rotation speed of the air conditioner's refrigeration components is controlled according to a closed-loop control method to ensure that the temperature in the working area where the air conditioner is located reaches the target temperature. The capacity adjustment mode initially achieves stable operation of the air conditioner. If the air conditioner meets the first mode switching condition, an energy efficiency adjustment mode is activated. The current cooling capacity of the air conditioner is input into a trained neural network model to determine the target rotation speed ratio corresponding to the desired energy efficiency value. The neural network model fits the input variables and the target to achieve precise control of the refrigeration components. Based on the target rotation speed ratio, the rotation speed of the refrigeration components is controlled to adjust the air conditioner's energy efficiency value to the desired energy efficiency value while maintaining the target temperature. Because this embodiment combines both capacity adjustment and energy efficiency adjustment modes by setting a first mode switching condition, this dual control strategy improves the operational stability of the air conditioner while further enhancing its energy efficiency.

[0188] Due to the advanced nature of the embodiments in this application, it can be widely applied in the fields of air conditioning, ventilation, and air conditioning equipment manufacturing, neural network model control system development, and energy optimization management technology application. While meeting capacity requirements, it places greater emphasis on energy efficiency, helping to improve the operating efficiency of air conditioning equipment, reduce energy consumption, and meet the market demand for high-efficiency, energy-saving air conditioning equipment. Secondly, the use of neural network models for control enables complex nonlinear control, improving control accuracy and stability, which is of great significance for enhancing the performance of air conditioning equipment and user experience. Finally, the implementation of the air conditioning control method provided in this application helps promote the development of energy optimization management technology and has significant value for achieving efficient energy utilization and building a conservation-oriented society.

[0189] Based on the same inventive concept, this application also provides an air conditioning control device 600, such as... Figure 6 As shown, the control device 600 includes:

[0190] The capacity adjustment unit 601 is used to activate the capacity adjustment mode for the target model of air conditioner and control the speed of the air conditioner's refrigeration components according to the closed-loop control method so that the temperature of the working area where the air conditioner is located reaches the target temperature.

[0191] The first switching unit 602 is used to activate the energy efficiency adjustment mode if the air conditioner meets the first mode switching condition, input the current cooling capacity of the air conditioner into the trained neural network model, and determine the target speed ratio corresponding to the expected energy efficiency value; the neural network model is trained based on historical data of the air conditioner under the target model; the first mode switching condition is determined based on the temperature of the working area, whether the air conditioner is alarmed, and the operating status of the air conditioner; the expected energy efficiency value is greater than the current energy efficiency value of the air conditioner.

[0192] The control unit 603 is used to control the speed of the refrigeration device according to the target speed ratio, so as to adjust the energy efficiency value of the air conditioner to the desired energy efficiency value while maintaining the target temperature.

[0193] In some embodiments, the refrigeration device includes a compressor, an internal fan, and an external fan, and the target speed ratio is the ratio of the target compressor speed point, the target internal fan speed point, and the target external fan speed point.

[0194] The control unit 603 is specifically used for:

[0195] The speed of the outdoor fan is controlled to the target outdoor fan speed point, and the speed of the compressor and indoor fan is controlled in capacity adjustment mode until the air conditioner is in a stable operating state.

[0196] Based on the difference between the current compressor speed and the target compressor speed, and the difference between the current internal fan speed and the target internal fan speed, the compressor speed and the internal fan speed are controlled.

[0197] In some embodiments, the control unit 603 is specifically used for:

[0198] If the difference between the current speed of the compressor and the target compressor speed is greater than the first preset difference, and the difference between the current speed of the internal fan and the target internal fan speed is greater than the second preset difference, then the speed of the refrigeration device is controlled through the first energy efficiency regulation sub-mode.

[0199] If the difference between the current speed of the compressor and the target compressor speed is not greater than the first preset difference, or the difference between the current speed of the internal fan and the target internal fan speed is not greater than the second preset difference, then the speed of the refrigeration device is controlled through the second energy efficiency regulation sub-mode.

[0200] Among them, the first preset difference is greater than the second preset difference, and the adjustment time of the first energy efficiency adjustment sub-mode and the second energy efficiency adjustment sub-mode are different.

[0201] In some embodiments, the regulation duration of the first energy efficiency regulation sub-mode is greater than the regulation duration of the second energy efficiency regulation sub-mode.

[0202] In some embodiments, the first energy efficiency regulation sub-mode includes a first control method and a second control method, and the control unit 603 is specifically used for:

[0203] The rotation speed of the refrigeration device is controlled by alternating between the first control mode and the second control mode, and the switching between the first control mode and the second control mode is performed each time a preset control switching condition is met.

[0204] The control switching condition is that the air conditioner is in a stable operating state.

[0205] In some embodiments, the control unit 603 is specifically used for:

[0206] If the current speed of the compressor is less than the target compressor speed, and the current speed of the internal fan is greater than the target internal fan speed, then the first control method is used to control the speed of the refrigeration device.

[0207] If the current speed of the compressor is greater than the target compressor speed and the current speed of the internal fan is less than the target internal fan speed, then the second control method is used first to control the speed of the refrigeration components.

[0208] In some embodiments, the first control method is: using a first step to control the current speed of the internal fan to approach the target internal fan speed point, and using a capacity adjustment mode to control the speed of the compressor and the external fan;

[0209] The second control method is as follows: the current speed of the compressor is controlled to approach the target compressor speed point in the first step, and the speed of the internal fan and the external fan is controlled in the capacity adjustment mode.

[0210] Among them, the first step length is positively correlated with the difference between the current speed of the internal fan and the target internal fan speed point; the first step length is positively correlated with the difference between the current speed of the compressor and the target compressor speed point.

[0211] In some embodiments, the control unit 603 is specifically used for:

[0212] If the current speed of the compressor is less than the target compressor speed, and the current speed of the internal fan is greater than the target internal fan speed, then the speed of the external fan is kept at the target external fan speed. The current speed of the compressor is controlled to move toward the target compressor speed using a preset step size. After the preset control time is reached, the current speed of the internal fan is controlled to move toward the target internal fan speed using a preset step size.

[0213] If the current speed of the compressor is not less than the target compressor speed, or the current speed of the internal fan is not greater than the target internal fan speed, then the speed of the external fan is kept at the target external fan speed. The current speed of the compressor is controlled to move toward the target compressor speed using a preset step size, and the current speed of the internal fan is controlled to move toward the target internal fan speed.

[0214] In some embodiments, the control unit 603 is further configured to:

[0215] In the first energy efficiency adjustment sub-mode, if the air conditioner's energy efficiency value is the desired energy efficiency value, or the speed of the refrigeration device reaches the target speed ratio, then the speed of the refrigeration device is stopped from being controlled; when the air conditioner has been in a stable operating state for a preset operating time, the capacity adjustment mode is activated.

[0216] In the second energy efficiency adjustment sub-mode, if the speed of the refrigeration device reaches the target speed ratio, the speed of the refrigeration device is stopped; when the air conditioner reaches the preset running time in a stable operating state, the capacity adjustment mode is activated.

[0217] In some embodiments, the apparatus further includes:

[0218] The second switching unit 604 is used to detect the current cooling capacity of the air conditioner every preset switching time, and input the current cooling capacity of the air conditioner into the trained neural network model to determine the target speed ratio corresponding to the current expected energy efficiency value.

[0219] If the air conditioner meets the conditions for switching to the second mode, the energy efficiency adjustment mode will be activated; otherwise, the capacity adjustment mode will be maintained. The conditions for switching to the second mode are determined based on the difference between the speed of the refrigeration device and the current target speed.

[0220] In some embodiments, historical data includes historical operating conditions, historical rotational speed of the refrigeration device, historical cooling capacity, and historical energy efficiency values; the neural network model of the first switching unit 602 is trained in the following manner:

[0221] The historical operating conditions and historical speed of the air conditioner under the target model are used as inputs, the historical operating conditions and predicted cooling capacity are used as constraints, and the expected energy efficiency value corresponding to the predicted cooling capacity is used as the optimization objective to train the neural network model.

[0222] In some embodiments, the first mode switching condition is:

[0223] While maintaining the target temperature, the speed of the refrigeration unit remains unchanged and the air conditioner does not issue any alarms for a preset duration.

[0224] Based on the same inventive concept, this application also provides an electronic device. In one embodiment, the electronic device may be... Figure 1 The terminal device 110 is shown. In this embodiment, the electronic device can be structured as follows: Figure 7 As shown, it includes a memory 701, a communication module 703, and one or more processors 702.

[0225] The memory 701 is used to store computer programs executed by the processor 702. The memory 701 may mainly include a program storage area and a data storage area. The program storage area may store the operating system and programs required to run instant messaging functions, etc.; the data storage area may store various instant messaging information and operation instruction sets, etc.

[0226] Memory 701 may be volatile memory, such as random-access memory (RAM); memory 701 may also be non-volatile memory, such as read-only memory, flash memory, hard disk drive (HDD), or solid-state drive (SSD); or memory 701 may be any other medium capable of carrying or storing a desired computer program having the form of instructions or data structures and accessible by a computer, but is not limited thereto. Memory 701 may be a combination of the above-described memories.

[0227] The processor 702 may include one or more central processing units (CPUs) or digital processing units, etc. The processor 702 is used to implement the aforementioned air conditioning control method when it calls the computer program stored in the memory 701.

[0228] The communication module 703 is used to communicate with terminal devices and other servers.

[0229] This application embodiment does not limit the specific connection medium between the memory 701, communication module 703, and processor 702 described above. This application embodiment... Figure 7 The memory 701 and the processor 702 are connected via a bus 704, and the bus 704 is in Figure 7 The diagram uses thick lines to describe the connections between other components; these are for illustrative purposes only and should not be considered limiting. The 704 bus can be divided into address bus, data bus, control bus, etc. For ease of description, Figure 7 It is described using only a thick line, but does not indicate that there is only one bus or one type of bus.

[0230] The memory 701 stores a computer storage medium containing computer-executable instructions for implementing the air conditioning control method of this application embodiment. The processor 702 executes the aforementioned air conditioning control method. Based on the same inventive concept, this application embodiment provides a computer-readable storage medium containing computer program product including computer program code. When the computer program code is run on a computer, it causes the computer to execute any of the communication methods discussed above. Since the principle of the problem solved by the aforementioned computer-readable storage medium is similar to that of the resource verification method, the implementation of the aforementioned computer-readable storage medium can refer to the implementation of the method; repeated details will not be elaborated further.

[0231] The following reference Figure 8To describe a computing device 800 according to this embodiment of the present application. Figure 8 The computing device 800 is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0232] like Figure 8 The computing device 800 is manifested in the form of a general-purpose computing device. The components of the computing device 800 may include, but are not limited to: at least one processing unit 801, at least one storage unit 802, and a bus 803 connecting different system components (including storage unit 802 and processing unit 801).

[0233] Bus 803 represents one or more of several bus structures, including a memory bus or memory controller, peripheral bus, processor, or a local bus using any of the various bus structures.

[0234] Storage unit 802 may include a readable medium in the form of volatile memory, such as random access memory (RAM) 821 and / or cache memory 822, and may further include read-only memory (ROM) 823.

[0235] Storage unit 802 may also include a program / utility 825 having a set (at least one) of program modules 824, including but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of these examples may include an implementation of a network environment.

[0236] The computing device 800 can also communicate with one or more external devices 804 (e.g., keyboard, pointing device, etc.), and with one or more devices that enable a user to interact with the computing device 800, and / or with any device that enables the computing device 800 to communicate with one or more other computing devices (e.g., router, modem, etc.). This communication can be performed via the input / output (I / O) interface 805. Furthermore, the computing device 800 can also communicate with one or more networks (e.g., local area network (LAN), wide area network (WAN), and / or public networks, such as the Internet) via a network adapter 806. Figure 8 As shown, network adapter 806 communicates with other modules for computing device 800 via bus 803. It should be understood that, although not shown in the figure, other hardware and / or software modules may be used in conjunction with computing device 800, including but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0237] This application also provides a computer program product. The methods in this application can be implemented, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented using software, they can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer programs or instructions. When the computer program or instructions are loaded and executed on a computer, the processes or functions described in this application are executed, in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, network equipment, user equipment, core network equipment, OAM, or other programmable devices.

[0238] A computer-readable storage medium can be used as an implementation of a computer program product. In other words, this application also provides a computer-readable storage medium that includes a computer program that, when executed by a processor, implements any of the air conditioning control methods described above.

[0239] The computer program or instructions may be stored in a computer-readable storage medium or transferred from one computer-readable storage medium to another. For example, the computer program or instructions may be transferred from one website, computer, server, or data center to another website, computer, server, or data center via wired or wireless means. The computer-readable storage medium may be any available medium that a computer can access, or a data storage device such as a server or data center that integrates one or more available media. The available medium may be a magnetic medium, such as a floppy disk, hard disk, or magnetic tape; or an optical medium, such as a digital video optical disc; or a semiconductor medium, such as a solid-state drive. The computer-readable storage medium may be a volatile or non-volatile storage medium, or may include both volatile and non-volatile types of storage media.

[0240] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-readable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0241] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to this application. It should be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0242] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0243] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0244] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. An air conditioning control method, characterized in that, The method includes: For the target model of air conditioner, the start-up capacity adjustment mode controls the speed of the air conditioner's refrigeration components according to a closed-loop control method, so that the temperature of the working area where the air conditioner is located reaches the target temperature; the refrigeration components include a compressor, an indoor fan, and an outdoor fan; If the air conditioner meets the first mode switching condition, the energy efficiency adjustment mode is activated, and the current cooling capacity of the air conditioner is input into a trained neural network model to determine the target speed ratio corresponding to the expected energy efficiency value. The neural network model is trained based on historical data of the air conditioner under the target model. The first mode switching condition is determined based on the temperature of the working area, whether the air conditioner is alarming, and the operating status of the air conditioner. The expected energy efficiency value is greater than the current energy efficiency value of the air conditioner. The speed of the outdoor fan is controlled to the target outdoor fan speed point, and the speed of the compressor and the indoor fan is controlled using the capacity adjustment mode until the air conditioner is in a stable operating state. If the difference between the current speed of the compressor and the target compressor speed is greater than a first preset difference, and the difference between the current speed of the indoor fan and the target indoor fan speed is greater than a second preset difference, then the speed of the refrigeration device is controlled by switching between the first control mode and the second control mode in the first energy efficiency adjustment sub-mode. Each time a preset control switching condition is reached, the first control mode and the second control mode are switched to adjust the energy efficiency value of the air conditioner to the desired energy efficiency value while maintaining the target temperature. Wherein, the first preset difference is greater than the second preset difference; the control switching condition is that the air conditioner is in a stable operating state; the first control method is: using a first step length to control the current speed of the indoor fan to approach the target indoor fan speed point, and using the capacity adjustment mode to control the speed of the compressor and the outdoor fan; the second control method is: using a first step length to control the current speed of the compressor to approach the target compressor speed point, and using the capacity adjustment mode to control the speed of the indoor fan and the outdoor fan; the first step length is positively correlated with the difference between the current speed of the indoor fan and the target indoor fan speed point; the first step length is positively correlated with the difference between the current speed of the compressor and the target compressor speed point; If the difference between the current speed of the compressor and the target compressor speed is not greater than the first preset difference, or the difference between the current speed of the indoor fan and the target indoor fan speed is not greater than the second preset difference, then the speed of the refrigeration device is controlled through the second energy efficiency adjustment sub-mode so as to adjust the energy efficiency value of the air conditioner to the desired energy efficiency value while maintaining the target temperature. The adjustment duration of the first energy efficiency adjustment sub-mode is different from that of the second energy efficiency adjustment sub-mode.

2. The method according to claim 1, characterized in that, The adjustment duration of the first energy efficiency regulation sub-mode is greater than the adjustment duration of the second energy efficiency regulation sub-mode.

3. The method according to claim 1, characterized in that: If the current speed of the compressor is less than the target compressor speed, and the current speed of the internal fan is greater than the target internal fan speed, then the first control method is first used to control the speed of the refrigeration device. If the current speed of the compressor is greater than the target compressor speed, and the current speed of the internal fan is less than the target internal fan speed, then the second control method is first used to control the speed of the refrigeration device.

4. The method according to claim 1, characterized in that, The step of controlling the rotation speed of the cooling device through the second energy efficiency regulation sub-mode includes: If the current speed of the compressor is less than the target compressor speed, and the current speed of the internal fan is greater than the target internal fan speed, then the speed of the external fan is kept at the target external fan speed, and the current speed of the compressor is controlled to move toward the target compressor speed using a preset step size. After a preset control time is reached, the current speed of the internal fan is controlled to move toward the target internal fan speed using the preset step size. If the current speed of the compressor is not less than the target compressor speed point, or the current speed of the internal fan is not greater than the target internal fan speed point, then the speed of the external fan is kept at the target external fan speed point, and the current speed of the compressor is controlled to move toward the target compressor speed point using the preset step size, and the current speed of the internal fan is controlled to move toward the target internal fan speed point.

5. The method according to claim 1, characterized in that, The method further includes: In the first energy efficiency adjustment sub-mode, if the energy efficiency value of the air conditioner is the desired energy efficiency value, or the speed of the refrigeration device reaches the target speed ratio, then the speed of the refrigeration device is stopped from being controlled; when the air conditioner has been in a stable operating state for a preset operating time, the capacity adjustment mode is activated. In the second energy efficiency adjustment sub-mode, if the speed of the refrigeration device reaches the target speed ratio, the speed of the refrigeration device is stopped; when the air conditioner reaches the preset running time in a stable operating state, the capacity adjustment mode is activated.

6. The method according to claim 1, characterized in that, The method further includes: Every preset switching time interval, the current cooling capacity of the air conditioner is detected, and the current cooling capacity of the air conditioner is input into the trained neural network model to determine the target speed ratio corresponding to the current expected energy efficiency value; If the air conditioner meets the second mode switching condition, the energy efficiency adjustment mode is activated; otherwise, the capacity adjustment mode is maintained. The second mode switching condition is determined based on the difference between the rotational speed of the refrigeration device and the current target rotational speed.

7. The method according to any one of claims 1 to 6, characterized in that, The historical data includes historical operating conditions, historical rotational speed of the refrigeration device, historical cooling capacity, and historical energy efficiency values; the neural network model is trained in the following manner: The neural network model is trained by taking the historical operating conditions and historical speed of the air conditioner under the target model as inputs, the historical operating conditions and predicted cooling capacity as constraints, and the expected energy efficiency value corresponding to the predicted cooling capacity as the optimization target.

8. The method according to any one of claims 1 to 6, characterized in that, The first mode switching condition is: While maintaining the target temperature, the rotation speed of the refrigeration device remains unchanged and the air conditioner does not issue any alarms for a preset duration.

9. An air conditioning control device, characterized in that, The device includes: The capacity adjustment unit is used to activate the capacity adjustment mode for a target model of air conditioner and control the speed of the air conditioner's refrigeration components according to a closed-loop control method so that the temperature of the working area where the air conditioner is located reaches the target temperature; the refrigeration components include a compressor, an indoor fan, and an outdoor fan; The first switching unit is configured to activate the energy efficiency adjustment mode if the air conditioner meets the first mode switching condition, input the current cooling capacity of the air conditioner into a trained neural network model, and determine the target speed ratio corresponding to the expected energy efficiency value; the neural network model is trained based on historical data of the air conditioner under the target model; the first mode switching condition is determined based on the temperature of the working area, whether the air conditioner is alarming, and the operating status of the air conditioner; the expected energy efficiency value is greater than the current energy efficiency value of the air conditioner. The control unit is used to control the speed of the outdoor fan to the target outdoor fan speed point, and to control the speed of the compressor and the indoor fan using the capacity adjustment mode until the air conditioner is in a stable operating state. If the difference between the current speed of the compressor and the target compressor speed is greater than a first preset difference, and the difference between the current speed of the indoor fan and the target indoor fan speed is greater than a second preset difference, then the speed of the refrigeration device is controlled by switching between the first control mode and the second control mode in the first energy efficiency adjustment sub-mode. Each time a preset control switching condition is reached, the first control mode and the second control mode are switched to adjust the energy efficiency value of the air conditioner to the desired energy efficiency value while maintaining the target temperature. Wherein, the first preset difference is greater than the second preset difference; the control switching condition is that the air conditioner is in a stable operating state; the first control method is: using a first step length to control the current speed of the indoor fan to approach the target indoor fan speed point, and using the capacity adjustment mode to control the speed of the compressor and the outdoor fan; the second control method is: using a first step length to control the current speed of the compressor to approach the target compressor speed point, and using the capacity adjustment mode to control the speed of the indoor fan and the outdoor fan; the first step length is positively correlated with the difference between the current speed of the indoor fan and the target indoor fan speed point; the first step length is positively correlated with the difference between the current speed of the compressor and the target compressor speed point; If the difference between the current speed of the compressor and the target compressor speed is not greater than the first preset difference, or the difference between the current speed of the indoor fan and the target indoor fan speed is not greater than the second preset difference, then the speed of the refrigeration device is controlled through the second energy efficiency adjustment sub-mode so as to adjust the energy efficiency value of the air conditioner to the desired energy efficiency value while maintaining the target temperature. The adjustment duration of the first energy efficiency adjustment sub-mode is different from that of the second energy efficiency adjustment sub-mode.

10. An electronic device, characterized in that, include: Memory, used to store program instructions; A processor is configured to invoke program instructions stored in the memory and execute the steps of the method according to any one of claims 1 to 8.

11. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, it implements the method according to any one of claims 1 to 8.

12. A computer program product, characterized in that, The method includes a computer program stored in a computer-readable storage medium; when a processor of an electronic device reads the computer program from the computer-readable storage medium, the processor executes the computer program, causing the electronic device to perform the steps of the method according to any one of claims 1 to 8.

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