A fluorine pump air conditioner frequency control method and system

Abstract

The invention discloses a fluorine pump air conditioner frequency control method and system, which relate to the technical field of fluorine pump air conditioner frequency control, including collecting fluorine pump air conditioner operation data and performing preprocessing; calculating the real-time total heat transfer temperature difference based on the processed data; defining the total heat transfer temperature difference target value, and comparing it with the real-time total heat transfer temperature difference to judge the operation state of the fluorine pump air conditioner; dynamically adjusting the compressor frequency control parameter, the fan speed control parameter and the expansion valve opening control parameter based on the total heat transfer temperature difference target value and the preprocessed data; optimizing the control parameters by multi-objective optimization, and executing the final decision based on the optimization result. The invention dynamically reflects the refrigeration performance and the load condition through the total heat transfer temperature difference, which is the core indicator of the energy efficiency of the fluorine pump air conditioner system, so as to evaluate the current operation state of the fluorine pump air conditioner system in real time and accurately.

Description

Technical Field

[0001] The present invention relates to the technical field of fluorine pump air conditioner frequency control, in particular to a fluorine pump air conditioner frequency control method and system. Background Art

[0002] As a new type of energy-saving refrigeration equipment, the fluorine pump air-conditioning system has been widely used due to its efficient refrigeration cycle and relatively stable operating performance. The fluorine pump air-conditioning system achieves cooling and heating through the circulation of refrigerant. Its operating efficiency and system performance are closely related to multiple key control parameters such as compressor frequency, fan speed, and expansion valve opening. In order to achieve efficient and energy-saving operation, the fluorine pump air-conditioning system usually adopts frequency conversion technology to adjust the working status of the compressor and fan to cope with different refrigeration loads. However, traditional fluorine pump air-conditioning frequency control methods mostly rely on preset simple rule control or single variable feedback adjustment, which cannot fully consider the complex coupling relationship between multiple operating parameters and it is difficult to achieve optimal dynamic adjustment under changing environmental and load conditions.

[0003] In the existing technology, common control methods mainly focus on the frequency regulation of the compressor, while ignoring the coordinated control of multiple other key components of the fan and expansion valve, resulting in limited improvement in the overall efficiency of the system. Most control strategies adopt fixed target parameters rather than dynamic adjustment, lack adaptability to environmental changes and actual loads, and find it difficult to balance the multiple demands of energy efficiency, comfort and system stability. Therefore, when dealing with complex working conditions, the existing fluorine pump air-conditioning control system often exhibits multiple defects such as slow response, low energy efficiency and insufficient control accuracy, making it difficult to fully meet the high-efficiency and energy-saving needs of today's fluorine pump air-conditioning systems. Summary of the Invention

[0004] In view of the above existing problems, the present invention is proposed.

[0005] Therefore, the present invention provides a fluorine pump air conditioner frequency control method and system to solve the problems of low energy efficiency, slow response and insufficient control accuracy caused by single parameter control in existing fluorine pump air conditioner systems.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, an embodiment of the present invention provides a frequency control method for a fluorine pump air conditioner, comprising:

[0008] Collect fluorine pump air conditioning operation data and perform pre-processing;

[0009] Calculate the real-time total heat transfer temperature difference based on the processed data;

[0010] Define the total heat transfer temperature difference target value and compare it with the real-time total heat transfer temperature difference to determine the operating status of the fluorine pump air conditioner;

[0011] Dynamically adjust the compressor frequency control parameters, fan speed control parameters, and expansion valve opening control parameters based on the total heat transfer temperature difference target value and pre-processed data;

[0012] Multi-objective optimization is used to optimize the control parameters, and the final decision is made based on the optimization results.

[0013] As a preferred solution of the fluorine pump air conditioner frequency control method of the present invention:

[0014] The fluorine pump air conditioner operation data includes outdoor temperature, indoor temperature, condensing temperature, evaporating temperature, condenser pressure, fan speed, compressor frequency, expansion valve opening and suction superheat;

[0015] Pre-process the fluorine pump air conditioner operation data, store it in the database, and record the timestamp.

[0016] As a preferred solution of the fluorine pump air conditioner frequency control method of the present invention;

[0017] The calculation of the real-time total heat transfer temperature difference based on the processed data includes:

[0018] Combined with the pre-processed condensing temperature, evaporating temperature, indoor temperature and outdoor temperature, the real-time total heat transfer temperature difference is calculated as follows:

[0019] ;

[0020] in, is the real-time total heat transfer temperature difference, is the condensation temperature, is the evaporation temperature, is the indoor temperature, is the outdoor temperature.

[0021] As a preferred solution of the fluorine pump air conditioner frequency control method of the present invention;

[0022] The process of defining the total heat transfer temperature difference target value and comparing it with the real-time total heat transfer temperature difference to determine the operating status of the fluorine pump air conditioner includes:

[0023] Define the total heat transfer temperature difference target value. When the real-time total heat transfer temperature difference is greater than the total heat transfer temperature difference target value, the system heat transfer efficiency is too high and energy is over-consumed. When the real-time total heat transfer temperature difference is less than the total heat transfer temperature difference target value, the system heat transfer efficiency is insufficient, resulting in poor cooling effect.

[0024] Recalculate the current real-time total heat transfer temperature difference every time t;

[0025] Compare the deviation between the current real-time total heat transfer temperature difference and the total heat transfer temperature difference target value;

[0026] Define a deviation threshold. If the deviation exceeds the threshold, the fluorine pump air conditioner is judged to be operating abnormally.

[0027] As a preferred solution of the fluorine pump air conditioner frequency control method of the present invention;

[0028] The method of dynamically adjusting the compressor frequency control parameter, the fan speed control parameter, and the expansion valve opening control parameter based on the total heat transfer temperature difference target value and the preprocessed data includes:

[0029] When it is determined that the fluorine pump air conditioner is operating abnormally, the compressor frequency control parameters, fan speed control parameters and expansion valve opening control parameters are adjusted to make the real-time total heat transfer temperature difference close to the total heat transfer temperature difference target value;

[0030] The compressor frequency control parameter is adjusted based on the total heat transfer temperature difference target value, and the expression is:

[0031] f c (t+1)= f c (t)+ K c [( T c (t) -D T HT t (t)+( T in (t) - T out (t))) - T e (t)] ;

[0032] in, For the current moment The compressor frequency, For the next moment The compressor frequency, is the gain coefficient of the compressor frequency control, For the current moment The condensation temperature, is the target value of total heat transfer temperature difference, For the current moment Indoor temperature, For the current moment The outdoor temperature For the current moment Evaporation temperature;

[0033] The fan speed control parameter is adjusted based on the deviation between the current real-time total heat transfer temperature difference and the total heat transfer temperature difference target value. The expression is:

[0034] ;

[0035] in, For the next moment The fan speed, For the current moment The fan speed, is the current condensation temperature, is the target condensing temperature, is the current ambient temperature, which is divided into indoor temperature and outdoor temperature. is the current condenser pressure, is the target value of condenser pressure, is the current fan power consumption, is the maximum power consumption of the fan, 、 、 is the adjustment coefficient;

[0036] There are fans both indoors and outdoors, and the control parameters of both fans can be adjusted simultaneously through this formula;

[0037] The expansion valve opening control parameter is adjusted based on the pre-processed suction superheat, and the expression is:

[0038] α e (t+1)= α e (t)+ K e [( T e (t)+ D T s t (t)) - T s (t)] ;

[0039] in, For the current moment The expansion valve opening, For the next moment The expansion valve opening, is the gain coefficient of expansion valve control, For the current moment The evaporation temperature, For the current moment The actual suction superheat, It is the target suction superheat difference.

[0040] As a preferred solution of the fluorine pump air conditioner frequency control method of the present invention;

[0041] The multi-objective optimization method for optimizing the control parameters includes:

[0042] The compressor frequency control parameters, fan speed control parameters and expansion valve opening control parameters are optimized based on the particle swarm optimization algorithm, and the control parameter combination is defined as the control variable vector to be optimized. u=[ f c 、 V 、 α e ] ;

[0043] Initialize the position and velocity of the particle swarm, where the position of each particle corresponds to a control parameter combination;

[0044] For each particle, calculate its fitness function value, the expression is:

[0045] ;

[0046] in, is the control variable vector to be optimized, is the target fitness function value, For the The target fitness function value to be optimized, For the The weight of the objective function, The number of optimization targets;

[0047] Based on the particle swarm optimization algorithm, the speed and position of each particle are updated;

[0048] The particle velocity update expression is:

[0049] ;

[0050] in, For particles exist The speed of time, is the inertia weight, For particles At the moment speed, is the energy efficiency ratio collected at the current moment, is the maximum energy efficiency ratio, is the adjustment coefficient, is the condensation temperature at the current moment, is the current ambient temperature, is the evaporation temperature at the current moment, is the adjustment coefficient, For particles The best historical position, For particles Current location, is the global optimal position;

[0051] The particle position update expression is:

[0052] ;

[0053] in, For particles At the moment The new location, For particles At the moment Current location, For particles exist the speed of the moment;

[0054] Define the threshold of fitness function value change, continuously iterate and update the particle position and velocity until the change of fitness function value is less than the threshold, the iteration ends, and the optimal control parameter combination is output .

[0055] As a preferred solution of the fluorine pump air conditioner frequency control method of the present invention;

[0056] The final decision-making based on the optimization result includes:

[0057] Based on the optimal control parameter combination, the compressor frequency control parameter, the fan speed control parameter and the expansion valve opening control parameter are updated;

[0058] Collect fluorine pump air conditioner operation data based on updated control parameters;

[0059] Calculate the current real-time total heat transfer temperature difference;

[0060] Compare the deviation between the current real-time total heat transfer temperature difference and the total heat transfer temperature difference target value to judge the operating status of the fluorine pump air conditioner;

[0061] The optimization results and actual operation data are saved in the database as the data source for the next round of optimization and model training.

[0062] In a second aspect, the present invention provides a fluorine pump air conditioner frequency control system, comprising:

[0063] The data acquisition and preprocessing module collects the real-time operating data of the fluorine pump air conditioner and performs multiple preprocessing operations such as cleaning and denoising on the data;

[0064] The real-time total heat transfer temperature difference calculation module calculates the real-time total heat transfer temperature difference of the fluorine pump air conditioning system based on the pre-processed data;

[0065] The target temperature difference setting and status judgment module sets the target value of the total heat transfer temperature difference and compares it with the real-time heat transfer temperature difference to judge the current operating status of the fluorine pump air conditioner;

[0066] The control parameter dynamic adjustment module dynamically adjusts multiple control parameters such as compressor frequency, fan speed, and expansion valve opening according to the difference between the real-time total heat transfer temperature difference and the target value;

[0067] The multi-objective optimization module uses a multi-objective optimization algorithm to optimize multiple control parameters such as compressor frequency, fan speed, and expansion valve opening to balance multiple objectives of system energy efficiency, cooling capacity, and power consumption;

[0068] The optimization decision execution module executes the final control decision based on the multi-objective optimization results and adjusts the operating status of the fluorine pump air conditioning system to ensure efficient operation.

[0069] In a third aspect, an embodiment of the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein when the computer program is executed by the processor, any step of the fluorine pump air conditioner frequency control method and system as described in the first aspect of the present invention is implemented.

[0070] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the fluorine pump air conditioner frequency control method and system as described in the first aspect of the present invention is implemented.

[0071] The beneficial effects of the present invention are: through the total heat transfer temperature difference, which is the core indicator of the energy efficiency of the fluorine pump air-conditioning system, the refrigeration performance and load conditions are dynamically reflected, so that the current operating status of the fluorine pump air-conditioning system can be evaluated in real time and accurately. By setting the deviation threshold, the abnormal state during operation can be quickly judged, so as to achieve the effect of timely discovering the abnormality of the fluorine pump air-conditioning system, ensuring the efficient operation of the fluorine pump air-conditioning, and avoiding the system from being in a state of low efficiency or excessive energy consumption for a long time. Through multi-variable coordinated regulation, adaptive adjustment can be made according to the actual load changes of the fluorine pump air-conditioning system, avoiding excessive reliance on a single control variable, thereby optimizing the overall performance of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0073] Figure 1 This is a flow chart of the fluorine pump air conditioner frequency control method and system in Example 1. DETAILED DESCRIPTION

[0074] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0075] Example 1, reference Figure 1 , which is the first embodiment of the present invention, provides a fluorine pump air conditioner frequency control method, comprising the following steps:

[0076] S1, fluorine pump air conditioner operating data includes outdoor temperature, indoor temperature, condensing temperature, evaporating temperature, condenser pressure, fan speed, compressor frequency, expansion valve opening and suction superheat;

[0077] The suction superheat is the difference between the actual temperature of the refrigerant at the evaporator outlet and the evaporation temperature. It is a key feedback signal for the expansion valve opening. The expansion valve opening is adjusted to maintain the suction superheat within a target range to ensure that the refrigerant in the evaporator is completely evaporated without excessive overheating.

[0078] Pre-process the fluorine pump air conditioning operation data, store it in the database, and record the timestamp;

[0079] S2, calculates the real-time total heat transfer temperature difference based on the processed data, including:

[0080] Combined with the pre-processed condensing temperature, evaporating temperature, indoor temperature and outdoor temperature, the real-time total heat transfer temperature difference is calculated as follows:

[0081] ;

[0082] in, is the real-time total heat transfer temperature difference, is the condensation temperature, is the evaporation temperature, is the indoor temperature, is the outdoor temperature;

[0083] Define the total heat transfer temperature difference target value and compare it with the real-time total heat transfer temperature difference to determine the operating status of the fluorine pump air conditioner, including:

[0084] Define the total heat transfer temperature difference target value. When the real-time total heat transfer temperature difference is greater than the total heat transfer temperature difference target value, the system heat transfer efficiency is too high and energy is over-consumed. When the real-time total heat transfer temperature difference is less than the total heat transfer temperature difference target value, the system heat transfer efficiency is insufficient, resulting in poor cooling effect.

[0085] Recalculate the current real-time total heat transfer temperature difference every time t;

[0086] Compare the deviation between the current real-time total heat transfer temperature difference and the total heat transfer temperature difference target value;

[0087] Define a deviation threshold. If the deviation exceeds the threshold, the fluorine pump air conditioner is judged to be operating abnormally.

[0088] S3, based on the total heat transfer temperature difference target value and pre-processed data, dynamically adjusts the compressor frequency control parameters, fan speed control parameters, and expansion valve opening control parameters, including:

[0089] When it is determined that the fluorine pump air conditioner is operating abnormally, the compressor frequency control parameters, fan speed control parameters and expansion valve opening control parameters are adjusted to make the real-time total heat transfer temperature difference close to the total heat transfer temperature difference target value;

[0090] The compressor frequency control parameter is adjusted based on the total heat transfer temperature difference target value, and the expression is:

[0091] f c (t+1)= f c (t)+ K c [( T c (t) -D T HT t (t)+( T in (t) - T out (t))) - T e (t)] ;

[0092] in, For the current moment The compressor frequency, For the next moment The compressor frequency, is the gain coefficient of the compressor frequency control, which determines the adjustment range. For the current moment The condensation temperature, is the target value of total heat transfer temperature difference, For the current moment Indoor temperature, For the current moment The outdoor temperature For the current moment Evaporation temperature;

[0093] The fan speed control parameter is adjusted based on the deviation between the current real-time total heat transfer temperature difference and the total heat transfer temperature difference target value. The expression is:

[0094] ;

[0095] in, For the next moment The fan speed, For the current moment The fan speed, is the current condensation temperature, is the target condensing temperature, is the current ambient temperature, is the current condenser pressure, is the target value of condenser pressure, is the current fan power consumption, is the maximum power consumption of the fan, 、 、 is the adjustment coefficient;

[0096] The expansion valve opening control parameter is adjusted based on the pre-processed suction superheat, and the expression is:

[0097] α e (t+1)= α e (t)+ K e [( T e (t)+ D T s t (t)) - T s (t)] ;

[0098] in, For the current moment The expansion valve opening, For the next moment The expansion valve opening, is the gain coefficient of expansion valve control, For the current moment The evaporation temperature, For the current moment The actual suction superheat, is the target suction superheat difference;

[0099] S4, uses multi-objective optimization to optimize the control parameters, including:

[0100] The compressor frequency control parameters, fan speed control parameters and expansion valve opening control parameters are optimized based on the particle swarm optimization algorithm, and the control parameter combination is defined as the control variable vector to be optimized. u=[ f c 、 V 、 α e ] ;

[0101] Initialize the position and velocity of the particle swarm, where the position of each particle corresponds to a control parameter combination;

[0102] For each particle, calculate its fitness function value, the expression is:

[0103] ;

[0104] in, is the control variable vector to be optimized, is the target fitness function value, For the The target fitness function value to be optimized, For the The weight of the objective function, The number of optimization targets;

[0105] Based on the particle swarm optimization algorithm, the speed and position of each particle are updated;

[0106] The particle velocity update expression is:

[0107] ;

[0108] in, For particles exist The speed of time, is the inertia weight, For particles At the moment speed, is the energy efficiency ratio collected at the current moment, is the maximum energy efficiency ratio, is the adjustment coefficient, is the condensation temperature at the current moment, is the current ambient temperature, is the evaporation temperature at the current moment, is the adjustment coefficient, For particles The best historical position, For particles Current location, is the global optimal position;

[0109] Collect the following data to calculate the energy efficiency ratio of the fluorine pump air conditioning system;

[0110] Compressor power consumption: Use power metering equipment to measure the real-time power consumption of the compressor, including voltage, current and power factor;

[0111] Fan power consumption: Usually, the evaporator and condenser each have one fan, and the power consumption is monitored in real time through current sensors and voltage sensors;

[0112] S5, refrigerant flow: the refrigerant flow is obtained by a flow meter;

[0113] Temperature and pressure of the evaporator and condenser: The inlet and outlet temperatures and pressure values ​​of the evaporator and condenser are measured by temperature sensors and pressure sensors respectively, so as to calculate the enthalpy difference of the refrigerant in the evaporator.

[0114] Ambient temperature: Monitor the ambient temperature of the fluorine pump air conditioning system through the temperature sensor;

[0115] Calculation of refrigerant enthalpy difference: Based on the refrigerant state point (such as pressure and temperature), check the refrigerant enthalpy value table to obtain the enthalpy difference between the inlet and outlet of the evaporator;

[0116] Refrigeration capacity calculation: Calculate the evaporator's cooling capacity through the refrigerant flow rate and enthalpy difference;

[0117] System power consumption calculation: Use power metering equipment to measure the total power consumption of the system in real time;

[0118] The energy efficiency ratio is calculated based on the cooling capacity and total power consumption. The expression is:

[0119] ;

[0120] in, is the energy efficiency ratio, is the cooling capacity, is the total power consumption;

[0121] The particle position update expression is:

[0122] ;

[0123] in, For particles At the moment The new location, For particles At the moment Current location, For particles exist the speed of the moment;

[0124] In particle swarm optimization, the algorithm uses a discrete time step, that is, each iteration of the algorithm is equivalent to a unit time step. The time step is implicitly set to 1 and does not appear explicitly in the formula;

[0125] The core idea of ​​the position update formula is that the position of a particle is updated by its current velocity at each iteration. The velocity is adjusted at each iteration step based on the particle's own historical optimal position, global optimal position, and inertia. This process does not require a precise time factor because the iteration step in particle swarm optimization is equivalent to a discrete unit time.

[0126] Define the threshold of fitness function value change, continuously iterate and update the particle position and velocity until the change of fitness function value is less than the threshold, the iteration ends, and the optimal control parameter combination is output ;

[0127] S6, making final decisions based on the optimization results, including:

[0128] Based on the optimal control parameter combination, the compressor frequency control parameter, the fan speed control parameter and the expansion valve opening control parameter are updated;

[0129] Collect fluorine pump air conditioner operation data based on updated control parameters;

[0130] Calculate the current real-time total heat transfer temperature difference;

[0131] Compare the deviation between the current real-time total heat transfer temperature difference and the total heat transfer temperature difference target value to judge the operating status of the fluorine pump air conditioner;

[0132] The optimization results and actual operation data are saved in the database as the data source for the next round of optimization and model training.

[0133] This embodiment also provides a fluorine pump air conditioner frequency control system, comprising:

[0134] The data acquisition and preprocessing module collects the real-time operating data of the fluorine pump air conditioner and performs multiple preprocessing operations such as cleaning and denoising on the data;

[0135] The real-time total heat transfer temperature difference calculation module calculates the real-time total heat transfer temperature difference of the fluorine pump air conditioning system based on the pre-processed data;

[0136] The target temperature difference setting and status judgment module sets the target value of the total heat transfer temperature difference and compares it with the real-time heat transfer temperature difference to judge the current operating status of the fluorine pump air conditioner;

[0137] The control parameter dynamic adjustment module dynamically adjusts multiple control parameters such as compressor frequency, fan speed, and expansion valve opening according to the difference between the real-time total heat transfer temperature difference and the target value;

[0138] The multi-objective optimization module uses a multi-objective optimization algorithm to optimize multiple control parameters such as compressor frequency, fan speed, and expansion valve opening to balance multiple objectives of system energy efficiency, cooling capacity, and power consumption;

[0139] The optimization decision execution module executes the final control decision based on the multi-objective optimization results and adjusts the operating status of the fluorine pump air conditioning system to ensure efficient operation;

[0140] This embodiment also provides a computer device, which is suitable for the fluorine pump air conditioner frequency control method and system, including: a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute computer-executable instructions to implement the fluorine pump air conditioner frequency control method and system proposed in the above embodiment.

[0141] The computer device may be a terminal, comprising a processor, memory, a communication interface, a display, and an input device connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile storage media and internal memory. The non-volatile storage media stores an operating system and computer programs. The internal memory provides an environment for the operating system and computer programs stored in the non-volatile storage media. The communication interface of the computer device is used to communicate with external terminals via wired or wireless communication. Wireless communication may be achieved via Wi-Fi, a carrier network, NFC (near-field communication), or other technologies. The display of the computer device may be a liquid crystal display or an electronic ink display. The input device may be a touchscreen overlay on the display, buttons, a trackball, or a touchpad on the computer device housing, or an external keyboard, touchpad, or mouse.

[0142] This embodiment also provides a storage medium having a computer program stored thereon, which, when executed by a processor, implements the method and system for implementing the frequency control of a fluorine pump air conditioner as proposed in the above embodiment; the storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk.

[0143] In the present invention, the total heat transfer temperature difference, the core indicator of the energy efficiency of the fluorine pump air-conditioning system, is used to dynamically reflect the refrigeration performance and load conditions, thereby being able to evaluate the current operating status of the fluorine pump air-conditioning system in real time and accurately, providing a basis for judging whether the control parameters need to be adjusted. By setting a deviation threshold, abnormal conditions during operation can be quickly judged, thereby achieving the effect of timely discovering abnormalities in the fluorine pump air-conditioning system, ensuring efficient operation of the fluorine pump air-conditioning, and avoiding the system from being in a state of low efficiency or excessive energy consumption for a long time. Through multi-variable coordinated regulation, adaptive adjustments can be made according to the actual load changes of the fluorine pump air-conditioning system, avoiding over-reliance on a single control variable, thereby optimizing the overall performance of the system.

[0144] Example 2, referring to Table 1, is the second embodiment of the present invention. To further verify the technical solution of the present invention, experimental simulation data of the fluorine pump air conditioner frequency control method and system are provided.

[0145] The experimental equipment includes a fluorine pump air-conditioning system equipped with sensors for collecting key operating data such as indoor and outdoor temperature, condensing temperature, evaporating temperature, compressor frequency, fan speed, expansion valve opening, and condenser pressure. The experimental environment is set in an area with large temperature changes, simulating different refrigeration loads and ambient temperature conditions.

[0146] The experiment was divided into two groups: the first group adopted the traditional fluorine pump air conditioner frequency control method, which is mainly based on the single feedback adjustment of the compressor frequency, and the fan speed and expansion valve opening are set to fixed values; the second group adopted the frequency control method of the present invention, which collected various operating data in real time, calculated the real-time total heat transfer temperature difference, and dynamically adjusted the compressor frequency, fan speed and expansion valve opening based on the total heat transfer temperature difference target value, and optimized the control parameters through a multi-objective optimization algorithm.

[0147] During the experiment, various operating parameters were recorded every 5 minutes, and the energy efficiency ratio of the fluorine pump air-conditioning system, that is, the ratio of cooling capacity to power consumption, was calculated as the main indicator for evaluating the performance of the fluorine pump air-conditioning system. At the same time, the fluctuation range of the indoor temperature was recorded to evaluate the temperature control stability of the system. The total duration of the experiment was 3 hours, and the experimental environment simulated the change process from high external temperature to gradually decreasing external temperature.

[0148] The details are shown in Table 1 below:

[0149] Table 1 Experimental data table

[0150]

[0151] By comparing the tabular data, it can be seen that the fluorine pump air conditioner frequency control method of the present invention is superior to the traditional method in many key performance indicators. In terms of the fluctuation range of indoor temperature, the temperature fluctuation controlled by the method of the present invention is smaller. The fluctuation ranges of experimental data 1 and experimental data 2 are 24±0.8℃ and 23±0.5℃ respectively. In comparison, the temperature fluctuation range of the traditional method is 26±2℃ and 25±1.8℃. This shows that the present invention can maintain the indoor constant temperature more accurately by dynamically adjusting the control strategy of compressor frequency, fan speed and expansion valve opening, thereby improving user experience. In particular, when the refrigeration load changes greatly, the system can adaptively optimize the control parameters to avoid overcooling or overheating.

[0152] In terms of energy efficiency ratio (COP), the COP value of the method of the present invention is significantly higher than that of the traditional method. The COP values ​​of the traditional method were 3.2 and 3.5 respectively during the experiment, while the COP values ​​of the method of the present invention reached 4.1 and 4.3, an increase of 20% to 30%. The present invention adopts a multi-objective optimization control strategy based on the real-time total heat transfer temperature difference. By coordinating the optimization of the compressor frequency, fan speed and expansion valve opening, unnecessary energy consumption is reduced, thereby significantly improving the system efficiency. Especially when the external ambient temperature gradually decreases, the traditional method cannot dynamically adjust the fan and expansion valve opening, resulting in partial energy waste, while the method of the present invention can flexibly adjust the control parameters according to the real-time working conditions, further improving the energy efficiency.

[0153] In addition, in terms of energy consumption, the energy consumption of the method of the present invention is significantly lower than that of the traditional method. In the scenarios of experimental data 1 and data 2, the energy consumption of the method of the present invention is 2.1kWh and 2.0kWh respectively, while that of the traditional method is 2.5kWh and 2.3kWh, with significant energy-saving effects. This shows that while ensuring the refrigeration effect, the present invention reduces the overall energy consumption of the system through more efficient heat transfer efficiency and control accuracy. This is especially important for fluorine pump air-conditioning systems that run for a long time, and helps to reduce operating costs and reduce carbon emissions.

[0154] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A fluorine pump air conditioner frequency control method, characterized in that ,include: Collect the fluorine pump air conditioner operation data and pre-process it; pre-process the fluorine pump air conditioner operation data, store it in the database, and record the timestamp; Calculate the real-time total heat transfer temperature difference based on the processed data; Define the total heat transfer temperature difference target value and compare it with the real-time total heat transfer temperature difference to determine the operating status of the fluorine pump air conditioner; Based on the total heat transfer temperature difference target value and pre-processed data, dynamically adjust the compressor frequency control parameters, fan speed control parameters and expansion valve opening control parameters; Use multi-objective optimization to optimize control parameters and make final decisions based on the optimization results; The real-time total heat transfer temperature difference is calculated based on the processed data, comprising: Combined with the pre-processed condensing temperature, evaporating temperature, indoor temperature and outdoor temperature, the real-time total heat transfer temperature difference is calculated, and the expression is: ； in, is the real-time total heat transfer temperature difference, is the condensation temperature, is the evaporation temperature, is the indoor temperature, is the outdoor temperature; The method of defining the total heat transfer temperature difference target value and comparing it with the real-time total heat transfer temperature difference to judge the operation status of the fluorine pump air conditioner includes: Define the total heat transfer temperature difference target value. When the real-time total heat transfer temperature difference is greater than the total heat transfer temperature difference target value, the system heat transfer efficiency is too high and energy is over-consumed. When the real-time total heat transfer temperature difference is less than the total heat transfer temperature difference target value, the system heat transfer efficiency is insufficient, resulting in poor cooling effect. Recalculate the current real-time total heat transfer temperature difference every time t; Compare the deviation between the current real-time total heat transfer temperature difference and the total heat transfer temperature difference target value; Define the deviation threshold. If the deviation exceeds the threshold, it is judged that the fluorine pump air conditioner is operating abnormally. The method of dynamically adjusting the compressor frequency control parameter, the fan speed control parameter and the expansion valve opening control parameter based on the total heat transfer temperature difference target value and the pre-processed data includes: When it is judged that the fluorine pump air conditioner is in an abnormal operating state, the compressor frequency control parameter, the fan speed control parameter and the expansion valve opening control parameter are adjusted to make the real-time total heat transfer temperature difference close to the total heat transfer temperature difference target value; The compressor frequency control parameter is adjusted based on the total heat transfer temperature difference target value, and the expression is: ； in, For the current moment The compressor frequency, For the next moment The compressor frequency, is the gain coefficient of the compressor frequency control, For the current moment The condensation temperature, is the target value of total heat transfer temperature difference, For the current moment Indoor temperature, For the current moment The outdoor temperature For the current moment Evaporation temperature; The fan speed control parameter is adjusted based on the deviation between the current real-time total heat transfer temperature difference and the total heat transfer temperature difference target value. The expression is: ； in, For the next moment The fan speed, For the current moment The fan speed, is the current condensation temperature, is the target condensing temperature, is the current ambient temperature, is the current condenser pressure, is the target value of condenser pressure, is the current fan power consumption, is the maximum power consumption of the fan, , , is the adjustment coefficient; The expansion valve opening control parameter is adjusted based on the pre-processed suction superheat, and the expression is: ； in, For the current moment The expansion valve opening, For the next moment The expansion valve opening, is the gain coefficient of expansion valve control, For the current moment The evaporation temperature, For the current moment The actual suction superheat, is the target suction superheat difference; The multi-objective optimization is used to optimize the control parameters, including: The compressor frequency control parameters, fan speed control parameters and expansion valve opening control parameters are optimized based on the particle swarm optimization algorithm, and the control parameter combination is defined as the control variable vector to be optimized. ; Initialize the position and velocity of the particle swarm. The position of each particle corresponds to a control parameter combination. For each particle, calculate its fitness function value, the expression is: ； in, is the target fitness function value, For the The target fitness function value to be optimized, For the The weight of the objective function, The number of optimization goals; Based on the particle swarm optimization algorithm, the speed and position of each particle are updated; The particle velocity update expression is: ； in, For particles exist The speed of time, is the inertia weight, For particles At the moment speed, is the energy efficiency ratio collected at the current moment, is the maximum energy efficiency ratio, is the adjustment coefficient, is the condensation temperature at the current moment, is the current ambient temperature, is the evaporation temperature at the current moment, is the adjustment coefficient, For particles The best historical position, For particles Current location, is the global optimal position; The particle position update expression is: ； in, For particles At the moment The new location, For particles At the moment Current location, For particles exist The speed of the moment; Define the threshold of fitness function value change, continuously iterate and update the particle position and speed until the change of fitness function value is less than the threshold, the iteration ends, and the optimal control parameter combination is output ; The final decision is made based on the optimization result, including: Based on the optimal control parameter combination, the compressor frequency control parameter, the fan speed control parameter and the expansion valve opening control parameter are updated; Collect fluorine pump air conditioner operation data based on updated control parameters; Calculate the current real-time total heat transfer temperature difference; Compare the deviation between the current real-time total heat transfer temperature difference and the total heat transfer temperature difference target value to determine the operating status of the fluorine pump air conditioner; The optimization results and actual operation data are saved in the database as the data source for the next round of optimization and model training.

2. The fluorine pump air conditioner frequency control method according to claim 1, characterized in that ,The fluorine pump air conditioner operation data includes outdoor temperature, indoor temperature, condensing temperature, evaporating temperature, condenser pressure, fan speed, compressor frequency, expansion valve opening and suction superheat; Pre-process the fluorine pump air conditioner operation data, store it in the database, and record the timestamp.

3. A fluorine pump air conditioner frequency control system, based on the fluorine pump air conditioner frequency control method and system according to any one of claims 1 to 2, characterized in that , including: data acquisition and preprocessing module, which collects the real-time operation data of the fluorine pump air conditioner and performs cleaning and denoising preprocessing operations on the data; The real-time total heat transfer temperature difference calculation module calculates the real-time total heat transfer temperature difference of the fluorine pump air conditioning system based on the preprocessed data; The target temperature difference setting and status judgment module sets the target value of the total heat transfer temperature difference and compares the real-time heat transfer temperature difference to judge the current operating status of the fluorine pump air conditioner; The control parameter dynamic adjustment module dynamically adjusts the compressor frequency, fan speed, and expansion valve opening control parameters according to the difference between the real-time total heat transfer temperature difference and the target value; The multi-objective optimization module uses a multi-objective optimization algorithm to optimize multiple control parameters such as compressor frequency, fan speed and expansion valve opening, balancing multiple objectives of system energy efficiency, cooling capacity and power consumption; The optimization decision execution module executes the final control decision based on the multi-objective optimization results and adjusts the operating status of the fluorine pump air conditioning system to ensure efficient operation.

4. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that When the processor executes the computer program, the steps of the fluorine pump air conditioner frequency control method and system described in any one of claims 1 to 2 are implemented.

5. A computer-readable storage medium having a computer program stored thereon, characterized in that When the computer program is executed by a processor, the steps of the fluorine pump air conditioner frequency control method and system described in any one of claims 1 to 2 are implemented.

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