High-pressure protection method, device and equipment for refrigeration equipment and medium

Abstract

The invention relates to the field of household appliances, and provides a high-voltage protection method, device and equipment for refrigeration equipment and a medium, and the method comprises the following steps: obtaining equipment operation control parameters of the refrigeration equipment; inputting the equipment operation control parameters into the high-voltage prediction model to obtain a high-voltage prediction result output by the high-voltage prediction model; comparing the high-pressure prediction result with a target pressure range, comparing a high-pressure prediction combination with a preset pressure threshold value, and adjusting equipment operation control parameters according to a comparison result in combination with a preset parameter adjustment rule; wherein the preset pressure threshold value is smaller than the lower limit value of the target pressure range. The method solves the problem that the failure risk exists when the sensor directly measures the system high voltage, reduces the hardware demand, avoids the failure risk of a single sensor, predicts the system high voltage in real time, dynamically adjusts the system parameters, and achieves the safety and stability of equipment operation.

Description

Technical Field

[0001] The present invention relates to the technical field of household appliances, and in particular to a high-voltage protection method, device, equipment and medium for refrigeration equipment. Background Art

[0002] During the operation of refrigeration equipment (such as air conditioners and refrigerators), controlling the system's high pressure is crucial to the safety and stability of the equipment. If the system's high pressure exceeds the safe range, it may damage key components such as the compressor and condenser, or even cause a safety accident.

[0003] Currently, pressure sensors are widely used in the industry to directly measure system high pressure. However, these sensors are expensive, complex to maintain, and have the risk of failure. Summary of the Invention

[0004] The present invention provides a high-pressure protection method, device, equipment and medium for refrigeration equipment, which are used to solve the defect in the prior art that sensors directly measuring system high pressure have the risk of failure, reduce hardware requirements, avoid the risk of single sensor failure, predict system high pressure in real time, and dynamically adjust system parameters, thereby achieving safe and stable equipment operation.

[0005] The present invention provides a high-pressure protection method for refrigeration equipment, comprising: obtaining equipment operation control parameters of the refrigeration equipment; inputting the equipment operation control parameters into a high-pressure prediction model to obtain a high-pressure prediction result output by the high-pressure prediction model; wherein the high-pressure prediction model is trained based on historical operation parameters and high-pressure labels corresponding to the historical operation parameters; comparing the high-pressure prediction result with a target pressure range, and comparing the high-pressure prediction combination with a preset pressure threshold, and adjusting the equipment operation control parameters based on the comparison result and a preset parameter adjustment rule; wherein the preset pressure threshold is less than the lower limit value of the target pressure range, and the prediction parameter adjustment rule is constructed based on the comparison result of the high-pressure prediction result with the target pressure range and the parameter adjustment strategy corresponding to different comparison results.

[0006] It should be noted that by using the high-pressure prediction model to perform high-pressure prediction on the acquired equipment operation control parameters, high pressure can be predicted in time, the response speed can be improved, and there is no need to wait for high-pressure sensor data, reducing hardware requirements, avoiding the problems of high-pressure sensors being high in cost, susceptible to contamination or difficult to install, reducing equipment costs, avoiding the risk of single sensor failure, and realizing forward-looking management of high-pressure risks. At the same time, the high-pressure prediction results are compared with the preset target range and preset pressure threshold, so as to drive parameter adjustment based on the comparison results and the preset parameter adjustment rules, so as to detect potential risks early and take action. At the same time, it can also optimize equipment performance within a safe range, and ultimately improve the safety, stability and operation efficiency of the refrigeration system.

[0007] According to the present invention, a high-pressure protection method for refrigeration equipment is provided, which compares the high-pressure prediction result and the target pressure range, and compares the high-pressure prediction combination and the preset pressure threshold, and adjusts the equipment operation control parameters based on the comparison result and the preset parameter adjustment rules, including: comparing the high-pressure prediction result and the target pressure range, and comparing the high-pressure prediction combination and the preset pressure threshold; when it is determined that the high-pressure prediction result is within the target pressure range, combining the preset parameter adjustment rules to determine a first parameter adjustment strategy, and adjusting the corresponding equipment operation control parameters according to the first parameter adjustment strategy; wherein the first parameter adjustment strategy includes controlling to reduce the input flow, reduce the motor speed, increase the valve opening and increase cooling or heat dissipation at least one of the following; when it is determined that the high-pressure prediction result is less than the preset pressure threshold, combining the preset parameter adjustment rules to determine a second parameter adjustment strategy, and adjusting the corresponding equipment operation control parameters according to the second parameter adjustment strategy; wherein the second parameter adjustment strategy includes increasing the input flow and increasing the motor speed at least one of the following.

[0008] It should be added that by comparing the prediction results with the preset target range and threshold, control strategies of different priorities or different intensities can be implemented. When the pressure prediction result is within the target pressure range, the corresponding first parameter adjustment strategy is adopted to reduce the system load in advance by reducing the flow rate and lowering the speed, or by increasing the valve opening to enhance heat dissipation, thereby effectively preventing the high pressure from rising further and preventing the high pressure from reaching the safety limit, thereby avoiding equipment damage and shutdown, and ensuring operation continuity and safety. When the high pressure prediction result is less than the preset pressure threshold, the corresponding second parameter adjustment strategy is adopted to improve the cooling efficiency or output capacity while ensuring the safety of the equipment, and avoid the equipment from operating far below its design capacity or optimal efficiency point, so as to better meet the load demand and minimize long-term operating costs.

[0009] According to a high-voltage protection method for refrigeration equipment provided by the present invention, the equipment operation control parameters of the refrigeration equipment are obtained, including: obtaining the equipment operation monitoring parameters of the refrigeration equipment, the equipment operation monitoring parameters are used to characterize the interaction between the refrigeration equipment and the external power supply and the electrical consumption of the refrigeration equipment; according to the equipment operation monitoring parameters, combined with the refrigerant curve previously fitted based on the equipment simulation model, the refrigerant thermodynamic state corresponding to the refrigeration equipment is determined; based on the refrigerant thermodynamic state, the equipment operation control parameters of the refrigeration equipment are collected.

[0010] It should be noted that by obtaining the equipment operation monitoring parameters to determine the approximate load and operation mode of the equipment, and making full use of the pre-fitted refrigerant curve, the theoretical model is combined with the actual operation data to indirectly infer the refrigerant thermodynamic state of key points in the refrigeration cycle that are difficult to directly measure (such as the evaporator / condenser inlet and outlet), thereby guiding the collection of control parameters that can directly reflect or affect the thermodynamic state of the refrigerant, so as to facilitate the subsequent prediction of high pressure based on the equipment control parameters.

[0011] According to a high-pressure protection method for refrigeration equipment provided by the present invention, after adjusting the equipment operation control parameters, the method includes: inputting the adjusted equipment operation control parameters into a high-pressure prediction model to obtain a high-pressure update prediction result output by the high-pressure prediction model; comparing the high-pressure update prediction result with a target pressure range; when it is determined that the high-pressure update prediction result is within the target pressure range, it is determined that there is a high-pressure risk, and in combination with the preset parameter adjustment rules, a first preset high-pressure protection strategy is determined and started; wherein the first preset high-pressure protection strategy includes at least one of frequency reduction, shutdown and alarm.

[0012] It should be noted that the high-voltage prediction is re-performed through the adjusted equipment operation control parameters to evaluate whether the control strategy just executed has truly and effectively brought the high voltage back to the safe range or the expected target range. Through this dual protection mechanism, the situation where the previous parameter adjustment fails to successfully control the high voltage within the safe range is avoided, and the first preset high-voltage protection strategy is started in time to ensure that the system will not continue to operate in a dangerous state, thereby effectively preventing equipment damage, safety accidents or serious performance deterioration caused by excessive high pressure, so that the entire control system can still maintain a high level of safety and reliability when facing model prediction deviations, sudden environmental changes or extreme working conditions.

[0013] According to a high-pressure protection method for refrigeration equipment provided by the present invention, after comparing the high-pressure update prediction result and the target pressure range, the method includes: when it is determined that the high-pressure update prediction result is outside the target pressure range and is less than the lower limit of the target pressure range, the equipment operation control parameters corresponding to the high-pressure update prediction result are input into the equipment simulation model to update the refrigerant curve.

[0014] It should be noted that when the high-pressure update prediction result is outside the target pressure range and is less than the lower limit of the target pressure range, the refrigerant curve is updated using the corresponding equipment operation control parameters based on the high-pressure update prediction result, so that the simulation model continuously incorporates data points under various working conditions and learns the characteristics of the equipment under a wider range of operating conditions, thereby more accurately simulating the performance of the equipment within the normal and efficient operating range, improving the generalization ability of the simulation model, and reducing the simulation error of the simulation model under common working conditions.

[0015] According to the present invention, a high-pressure protection method for refrigeration equipment is provided. Before comparing a high-pressure prediction result with a target pressure range and comparing a high-pressure prediction result with a preset pressure threshold, and adjusting equipment operation control parameters based on the comparison result and preset parameter adjustment rules, the method includes: determining a pressure change trend based on the equipment operation control parameters and in combination with a preset rule base; wherein the preset rule base is previously constructed based on a pressure change trend corresponding to the change trend of the equipment operation control parameters; adjusting the equipment operation control parameters based on the comparison result and in combination with the preset parameter adjustment rules, including: determining a third parameter adjustment strategy based on a pressure increase trend and a high-pressure prediction result within the target pressure range, and adjusting the corresponding equipment operation control parameters based on the third parameter adjustment strategy; wherein the third parameter adjustment strategy includes controlling at least one of reducing motor speed and increasing valve opening; and determining a fourth parameter adjustment strategy based on a pressure decrease trend and a high-pressure prediction result less than the preset pressure threshold, and adjusting the corresponding equipment operation control parameters based on the fourth parameter adjustment strategy; wherein the fourth parameter adjustment strategy includes at least one of increasing motor speed and decreasing valve opening.

[0016] It should be noted that by incorporating a preset rule base and leveraging the correlation between control parameter changes and pressure changes in historical data, trend determination becomes predictive. By introducing pressure change trends, the system no longer simply reacts to the current pressure value; instead, it can predict and intervene in the pressure evolution process, resulting in smoother control and reducing frequent and drastic adjustments caused by rapid pressure fluctuations. This improves the system's overall stability and adaptability to complex operating conditions. Furthermore, if the current predicted pressure is still within the target range and the pressure is determined to be rising, a third parameter adjustment strategy is implemented. This strategy directly reduces compression work by reducing the speed and enhances heat dissipation by increasing the valve opening. These two strategies, used in combination or individually, can more effectively address the upward pressure momentum and prevent it from rapidly approaching the upper limit. If the high-pressure prediction result is less than the preset pressure threshold and the pressure trend indicates a decrease, a fourth parameter adjustment strategy is implemented. This strategy increases the cooling capacity by increasing the motor speed and reduces the valve opening to reduce unnecessary energy loss, effectively improving the performance and efficiency of the refrigeration equipment and returning it to or nearing a more optimal operating range.

[0017] According to a high-pressure protection method for refrigeration equipment provided by the present invention, the equipment operation control parameters are input into a high-pressure prediction model to obtain a high-pressure prediction result output by the high-pressure prediction model, including: inputting the equipment operation control parameters into the high-pressure prediction model to extract operation characteristics based on the equipment operation control parameters, and extracting timing characteristics in combination with the equipment operation control parameters obtained within a target time prior to the equipment operation control parameters, and predicting the high-pressure value based on the operation characteristics and the timing characteristics to obtain the high-pressure prediction result output by the high-pressure prediction model.

[0018] It should be noted that by inputting the equipment operation control parameters into the high-pressure prediction model to analyze control parameters such as flow, temperature, motor speed, valve opening and system load status, the model can capture the thermodynamic state of the refrigeration system under the current operating conditions (such as the refrigerant state point), directly associate it with the high-pressure generation mechanism, and combine it with historical control parameters to identify timing characteristics, so that the model can adapt to sudden changes in operating conditions, avoid the lag of relying solely on static parameters, improve the robustness of high-pressure prediction, predict high pressure instantly, improve response speed, and there is no need to wait for high-pressure sensor data, reducing hardware requirements, avoiding the problems of high-pressure sensors being high cost, susceptible to contamination or difficult to install, reducing equipment costs, and avoiding the risk of single sensor failure.

[0019] The present invention also provides a high-pressure protection device for refrigeration equipment, comprising: a parameter acquisition module, which acquires equipment operation control parameters of the refrigeration equipment; a high-pressure prediction module, which inputs the equipment operation control parameters into a high-pressure prediction model to obtain a high-pressure prediction result output by the high-pressure prediction model; wherein the high-pressure prediction model is trained based on historical operation parameters and high-pressure labels corresponding to the historical operation parameters; a parameter adjustment module, which compares the high-pressure prediction result with the target pressure range, and compares the high-pressure prediction combination with a preset pressure threshold, and adjusts the equipment operation control parameters based on the comparison result and the preset parameter adjustment rule; wherein the preset pressure threshold is less than the lower limit value of the target pressure range, and the prediction parameter adjustment rule is constructed based on the comparison result between the high-pressure prediction result and the target pressure range and the parameter adjustment strategy corresponding to different comparison results.

[0020] It should be noted that the high-pressure prediction module uses the high-pressure prediction model to perform high-pressure prediction on the equipment operation control parameters obtained by the parameter acquisition module, so as to timely predict the high pressure and improve the response speed without waiting for the high-pressure sensor data, reduce hardware requirements, avoid the problems of high-pressure sensors being high in cost, susceptible to contamination or difficult to install, reduce equipment costs, avoid the risk of single sensor failure, and achieve forward-looking management of high-pressure risks. At the same time, the parameter adjustment module compares the high-pressure prediction results with the preset target range and preset pressure threshold, and drives parameter adjustment based on the comparison results combined with the preset parameter adjustment rules to detect potential risks early and take action. At the same time, it can also optimize equipment performance within a safe range, ultimately improving the safety, stability and operation efficiency of the refrigeration system.

[0021] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the steps of any of the above-described high-pressure protection methods for refrigeration equipment are implemented.

[0022] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of any of the above-mentioned methods for high-pressure protection of refrigeration equipment are implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0024] Figure 1 It is a flow chart of the high-pressure protection method for refrigeration equipment provided by the present invention; Figure 2 It is a structural schematic diagram of the high-pressure protection device for refrigeration equipment provided by the present invention; Figure 3 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0025] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0026] The following combination Figure 1 A schematic flow chart illustrating a method for high-pressure protection of refrigeration equipment according to the present invention is provided, wherein the method comprises: S11, obtaining equipment operation control parameters of the refrigeration equipment; S12, inputting the equipment operation control parameters into the high-voltage prediction model to obtain a high-voltage prediction result output by the high-voltage prediction model; wherein the high-voltage prediction model is trained based on the historical operation parameters and the high-voltage labels corresponding to the historical operation parameters; S13, compare the high-pressure prediction result and the target pressure range, and compare the high-pressure prediction combination and the preset pressure threshold, and adjust the equipment operation control parameters based on the comparison result and the preset parameter adjustment rules; wherein, the preset pressure threshold is smaller than the lower limit value of the target pressure range, and the prediction parameter adjustment rules are constructed based on the comparison result of the high-pressure prediction result and the target pressure range and the parameter adjustment strategies corresponding to different comparison results.

[0027] It should be noted that the step numbers “S1N” in this specification do not represent the order of the high-pressure protection method for refrigeration equipment. The high-pressure protection method for refrigeration equipment of the present invention is described in detail below.

[0028] Step S11: obtaining equipment operation control parameters of the refrigeration equipment.

[0029] It should be added that the equipment operation control parameters are used to characterize the real-time status of the refrigerant circulation and thermodynamic conversion inside the refrigeration equipment. The equipment operation control parameters include flow (input / output), temperature, motor speed, valve opening and system load status.

[0030] In this embodiment, the equipment operation control parameters of the refrigeration equipment are obtained, including: obtaining the equipment operation monitoring parameters of the refrigeration equipment, the equipment operation monitoring parameters are used to characterize the interaction between the refrigeration equipment and the external power supply and its own electrical consumption; according to the equipment operation monitoring parameters, combined with the refrigerant curve previously fitted based on the equipment simulation model, the refrigerant thermodynamic state corresponding to the refrigeration equipment is determined; based on the refrigerant thermodynamic state, the equipment operation control parameters of the refrigeration equipment are collected.

[0031] It should be noted that by obtaining the equipment operation monitoring parameters to determine the approximate load and operation mode of the equipment, and making full use of the pre-fitted refrigerant curve, the theoretical model is combined with the actual operation data to indirectly infer the refrigerant thermodynamic state of key points in the refrigeration cycle that are difficult to directly measure (such as the evaporator / condenser inlet and outlet), thereby guiding the collection of control parameters that can directly reflect or affect the thermodynamic state of the refrigerant, so as to facilitate the subsequent prediction of high pressure based on the equipment control parameters.

[0032] Furthermore, the equipment operation monitoring parameters include current, voltage, temperature, and frequency. The temperatures include compressor exhaust temperature, condenser outlet temperature, evaporator outlet temperature (superheat), and condenser outlet temperature (subcooling). The refrigerant curve is a saturated pressure-temperature relationship curve. According to the equipment operation monitoring parameters, combined with the refrigerant curve previously fitted based on the equipment simulation model, the refrigerant thermodynamic state corresponding to the refrigeration equipment is determined, including: determining the input power of the compressor based on the current and voltage, and estimating the compressor displacement in combination with the frequency to obtain the refrigerant flow; inferring the condensing pressure based on the condenser outlet temperature in combination with the refrigerant curve to obtain the compressor exhaust pressure; determining the compressor suction specific enthalpy based on the compressor exhaust temperature and the compressor exhaust pressure in combination with the isentropic efficiency previously obtained based on experimental fitting; determining the evaporation pressure based on the evaporator outlet temperature in combination with the refrigerant curve to obtain the evaporator outlet specific enthalpy; determining the condensing pressure based on the condenser outlet temperature in combination with the refrigerant curve to obtain the condenser outlet specific enthalpy; determining the inlet and outlet state points of the evaporator and condenser based on each outlet specific enthalpy and the refrigerant flow, and obtaining the refrigerant thermodynamic state corresponding to the refrigeration equipment.

[0033] In addition, based on the thermodynamic state of the refrigerant, the equipment operation control parameters of the refrigeration equipment are collected, including: determining the target operating conditions based on the thermodynamic state of the refrigerant, the target operating conditions include target temperature and target pressure; controlling the refrigeration equipment to operate to the target operating conditions, and collecting the corresponding equipment operation control parameters.

[0034] In an optional embodiment, before determining the thermodynamic state of the refrigerant corresponding to the equipment based on the equipment operation monitoring parameters and the refrigerant curve previously fitted based on the equipment simulation model, it includes: constructing an equipment simulation model based on the refrigeration equipment; inputting preset refrigerant parameters into the equipment simulation model, determining the pressure and temperature of each component model in the equipment simulation model, the mass flow rate of the refrigerant in the entire cycle, the power consumed by the compressor, the heat absorbed by the evaporator, the heat released by the condenser, the superheat at the evaporator outlet and the subcooling at the condenser outlet, etc., to fit the refrigerant curve.

[0035] Specifically, based on the refrigeration equipment, an equipment simulation model is constructed, including: establishing component models based on each component of the refrigeration equipment; where the components include compressors, condensers, expansion valves, etc. and evaporators; determining the connection relationship between each component, and establishing the system topology to form a closed loop to obtain the equipment simulation model.

[0036] It should be noted that the compressor model's inputs are speed (or frequency) and suction conditions (pressure, temperature), and its outputs are discharge conditions (pressure, temperature), mass flow rate, and power consumption. It is usually assumed to be isentropic or to consider variable efficiency. The condenser model's inputs are the refrigerant state entering the condenser (usually superheated vapor) and the temperatures at both ends of the heat exchanger (ambient temperature / cooling medium temperature). Its outputs are the refrigerant state leaving the condenser (usually subcooled liquid) and the heat transfer capacity. The expansion device model is typically more complex, requiring consideration of the temperature sensor temperature, evaporator outlet superheat, and valve inlet pressure. The output is valve opening or equivalent flow area. This can be simplified to calculating the flow rate based on a given opening. The evaporator model's inputs are the refrigerant state entering the evaporator (usually a low-temperature, low-pressure liquid or a gas-liquid mixture) and the inlet conditions of the cooled medium (such as air temperature and flow rate). Its outputs are the refrigerant state leaving the evaporator (usually superheated vapor) and the cooling capacity.

[0037] In step S12, the equipment operation control parameters are input into the high-voltage prediction model to obtain a high-voltage prediction result output by the high-voltage prediction model; wherein the high-voltage prediction model is trained based on historical operation parameters and high-voltage labels corresponding to the historical operation parameters.

[0038] In this embodiment, the equipment operation control parameters are input into the high-voltage prediction model to obtain a high-voltage prediction result output by the high-voltage prediction model, including: inputting the equipment operation control parameters into the high-voltage prediction model to extract operation characteristics based on the equipment operation control parameters, and extracting timing characteristics in combination with the equipment operation control parameters obtained within the target time prior to the equipment operation control parameters, and predicting the high-voltage value based on the operation characteristics and the timing characteristics to obtain the high-voltage prediction result output by the high-voltage prediction model.

[0039] It should be noted that by inputting the equipment operation control parameters into the high-pressure prediction model to analyze control parameters such as flow, temperature, motor speed, valve opening and system load status, the model can capture the thermodynamic state of the refrigeration system under the current operating conditions (such as the refrigerant state point), directly associate it with the high-pressure generation mechanism, and combine it with historical control parameters to identify timing characteristics, so that the model can adapt to sudden changes in operating conditions, avoid the lag of relying solely on static parameters, improve the robustness of high-pressure prediction, predict high pressure instantly, improve response speed, and there is no need to wait for high-pressure sensor data, reducing hardware requirements, avoiding the problems of high-pressure sensors being high cost, susceptible to contamination or difficult to install, reducing equipment costs, and avoiding the risk of single sensor failure.

[0040] Step S13, compare the high-pressure prediction result and the target pressure range, and compare the high-pressure prediction combination and the preset pressure threshold, and adjust the equipment operation control parameters based on the comparison result and the preset parameter adjustment rules; wherein the preset pressure threshold is smaller than the lower limit value of the target pressure range, and the prediction parameter adjustment rules are constructed based on the comparison results of the high-pressure prediction result and the target pressure range and the parameter adjustment strategies corresponding to different comparison results.

[0041] In this embodiment, the high-pressure prediction result and the target pressure range are compared, and the high-pressure prediction combination and the preset pressure threshold are compared, and the equipment operation control parameters are adjusted according to the comparison result and the preset parameter adjustment rules, including: comparing the high-pressure prediction result and the target pressure range, and comparing the high-pressure prediction combination and the preset pressure threshold; when it is determined that the high-pressure prediction result is within the target pressure range, combining the preset parameter adjustment rules to determine a first parameter adjustment strategy, and adjusting the corresponding equipment operation control parameters according to the first parameter adjustment strategy; wherein the first parameter adjustment strategy includes controlling to reduce the input flow, reduce the motor speed, increase the valve opening and increase cooling or heat dissipation at least one of the following; when it is determined that the high-pressure prediction result is less than the preset pressure threshold, combining the preset parameter adjustment rules to determine a second parameter adjustment strategy, and adjusting the corresponding equipment operation control parameters according to the second parameter adjustment strategy; wherein the second parameter adjustment strategy includes increasing the input flow and increasing the motor speed at least one of the following.

[0042] It should be added that by comparing the prediction results with the preset target range and threshold, control strategies of different priorities or different intensities can be implemented. When the pressure prediction result is within the target pressure range, the corresponding first parameter adjustment strategy is adopted to reduce the system load in advance by reducing the flow rate and lowering the speed, or by increasing the valve opening to enhance heat dissipation, thereby effectively preventing the high pressure from rising further and preventing the high pressure from reaching the safety limit, thereby avoiding equipment damage and shutdown, and ensuring operation continuity and safety. When the high pressure prediction result is less than the preset pressure threshold, the corresponding second parameter adjustment strategy is adopted to improve the cooling efficiency or output capacity while ensuring the safety of the equipment, and avoid the equipment from operating far below its design capacity or optimal efficiency point, so as to better meet the load demand and minimize long-term operating costs.

[0043] In addition, the upper limit value of the preset target range can be the high-pressure safety limit, the lower limit value can be configured according to the pressure close to the high-pressure safety limit and the actual design requirements, and the preset pressure threshold can be set according to the actual design requirements, and no further limitation is made here.

[0044] Furthermore, comparing the high-pressure prediction result with the target pressure range, and comparing the high-pressure prediction combination with the preset pressure threshold, and adjusting the equipment operation control parameters based on the comparison result and the preset parameter adjustment rules, also includes: determining that the high-pressure prediction result is outside the target pressure range, and the high-pressure prediction result is greater than the upper limit of the target pressure range, combining the preset parameter adjustment rules to determine and start the second preset high-pressure protection strategy; wherein the second preset high-pressure protection strategy includes at least one of automatic shutdown and alarm; determining that the high-pressure prediction result is outside the target pressure range, and the high-pressure prediction result is less than the lower limit of the target pressure range, and the high-pressure prediction result is greater than or equal to the preset pressure threshold, combining the preset parameter adjustment rules to determine not to adjust the parameters.

[0045] In an optional embodiment, before comparing the high-pressure prediction result with the target pressure range, and comparing the high-pressure prediction combination with the preset pressure threshold, and adjusting the equipment operation control parameters based on the comparison result and the preset parameter adjustment rules, it includes: determining the pressure change trend based on the equipment operation control parameters and in combination with the preset rule library; wherein the preset rule library is first constructed based on the pressure change trend corresponding to the change trend of the equipment operation control parameters.

[0046] Accordingly, based on the comparison result, combined with the preset parameter adjustment rules, the equipment operation control parameters are adjusted, including: based on the pressure change trend being a pressure increase and the high-pressure prediction result being within the target pressure range, combined with the preset parameter adjustment rules, a third parameter adjustment strategy is determined, and according to the third parameter adjustment strategy, the corresponding equipment operation control parameters are adjusted; wherein, the third parameter adjustment strategy includes controlling at least one of reducing the motor speed and increasing the valve opening; based on the pressure change trend being a pressure decrease and the high-pressure prediction result being less than the preset pressure threshold, combined with the preset parameter adjustment rules, a fourth parameter adjustment strategy is determined, and according to the fourth parameter adjustment strategy, the corresponding equipment operation control parameters are adjusted; wherein, the fourth parameter adjustment strategy includes increasing the motor speed and reducing the valve opening.

[0047] It should be noted that by incorporating a preset rule base and leveraging the correlation between control parameter changes and pressure changes in historical data, trend determination becomes predictive. By introducing pressure change trends, the system no longer simply reacts to the current pressure value; instead, it can predict and intervene in the pressure evolution process, resulting in smoother control and reducing frequent and drastic adjustments caused by rapid pressure fluctuations. This improves the system's overall stability and adaptability to complex operating conditions. Furthermore, if the current predicted pressure is still within the target range and the pressure is determined to be rising, a third parameter adjustment strategy is implemented. This strategy directly reduces compression work by reducing the speed and enhances heat dissipation by increasing the valve opening. These two strategies, used in combination or individually, can more effectively address the upward pressure momentum and prevent it from rapidly approaching the upper limit. If the high-pressure prediction result is less than the preset pressure threshold and the pressure trend indicates a decrease, a fourth parameter adjustment strategy is implemented. This strategy increases the cooling capacity by increasing the motor speed and reduces the valve opening to reduce unnecessary energy loss, effectively improving the performance and efficiency of the refrigeration equipment and returning it to or nearing a more optimal operating range.

[0048] In addition, the preset rule library can be set according to the actual design requirements and the pressure change trend corresponding to the change trend of the equipment operation control parameters. For example, if the temperature rises and the flow rate increases, the pressure may rise. For example, if the valve is closed and the motor speed increases, the pressure may rise. No further limitation is made here.

[0049] In an optional embodiment, after adjusting the equipment operation control parameters, the method includes: inputting the adjusted equipment operation control parameters into a high-pressure prediction model to obtain a high-pressure update prediction result output by the high-pressure prediction model; comparing the high-pressure update prediction result with the target pressure range; when determining that the high-pressure update prediction result is within the target pressure range, determining that there is a high-pressure risk, and combining the preset parameter adjustment rules to determine and start the first preset high-pressure protection strategy; wherein, the first preset high-pressure protection strategy includes at least one of frequency reduction, shutdown and alarm.

[0050] It should be noted that the high-voltage prediction is re-performed through the adjusted equipment operation control parameters to evaluate whether the control strategy just executed has truly and effectively brought the high voltage back to the safe range or the expected target range. Through this dual protection mechanism, the situation where the previous parameter adjustment fails to successfully control the high voltage within the safe range is avoided, and the first preset high-voltage protection strategy is started in time to ensure that the system will not continue to operate in a dangerous state, thereby effectively preventing equipment damage, safety accidents or serious performance deterioration caused by excessive high pressure, so that the entire control system can still maintain a high level of safety and reliability when facing model prediction deviations, sudden environmental changes or extreme working conditions.

[0051] Specifically, after comparing the high-pressure update prediction result and the target pressure range, it includes: when it is determined that the high-pressure update prediction result is outside the target pressure range and is less than the lower limit of the target pressure range, the equipment operation control parameters corresponding to the high-pressure update prediction result are input into the equipment simulation model to update the refrigerant curve.

[0052] It should be noted that when the high-pressure update prediction result is outside the target pressure range and is less than the lower limit of the target pressure range, the refrigerant curve is updated using the corresponding equipment operation control parameters based on the high-pressure update prediction result, so that the simulation model continuously incorporates data points under various working conditions and learns the characteristics of the equipment under a wider range of operating conditions, thereby more accurately simulating the performance of the equipment within the normal and efficient operating range, improving the generalization ability of the simulation model, and reducing the simulation error of the simulation model under common working conditions.

[0053] In addition, the equipment operation control parameters corresponding to the high-pressure update prediction results are input into the equipment simulation model to update the refrigerant curve. For details, please refer to the fitting refrigerant curve in the previous article, which will not be repeated here.

[0054] In addition, after comparing the high-pressure update prediction result and the target pressure range, it also includes: when it is determined that the high-pressure update prediction result is outside the target pressure range and is less than the lower limit of the target pressure range, the high-pressure prediction model is updated online using the high-pressure update prediction result and its corresponding equipment operation control parameters.

[0055] In summary, the embodiment of the present invention uses a high-pressure prediction model to perform high-pressure prediction on the acquired equipment operation control parameters, so as to timely predict high pressure and improve response speed without waiting for high-pressure sensor data, reduce hardware requirements, avoid the problems of high-pressure sensors being high in cost, susceptible to contamination or difficult to install, reduce equipment costs, avoid the risk of single sensor failure, and achieve forward-looking management of high-pressure risks. At the same time, the high-pressure prediction results are compared with the preset target range and preset pressure threshold, so as to drive parameter adjustment based on the comparison results and preset parameter adjustment rules, so as to detect potential risks early and take action. At the same time, the equipment performance can be optimized within a safe range, and ultimately the safety, stability and operation efficiency of the refrigeration system can be improved.

[0056] The high-pressure protection device for refrigeration equipment provided by the present invention is described below. The high-pressure protection device for refrigeration equipment described below and the high-pressure protection method for refrigeration equipment described above can be referred to each other.

[0057] Figure 2 A high-pressure protection device for refrigeration equipment is shown, comprising: Parameter acquisition module 21, acquires equipment operation control parameters of the refrigeration equipment; The high-voltage prediction module 22 inputs the equipment operation control parameters into the high-voltage prediction model to obtain a high-voltage prediction result output by the high-voltage prediction model; wherein the high-voltage prediction model is trained based on the historical operation parameters and the high-voltage labels corresponding to the historical operation parameters; The parameter adjustment module 23 compares the high-pressure prediction result and the target pressure range, and compares the high-pressure prediction combination and the preset pressure threshold, and adjusts the equipment operation control parameters based on the comparison result and the preset parameter adjustment rules; wherein the preset pressure threshold is less than the lower limit value of the target pressure range, and the prediction parameter adjustment rules are constructed based on the comparison result of the high-pressure prediction result and the target pressure range and the parameter adjustment strategies corresponding to different comparison results.

[0058] In this embodiment, the parameter acquisition module 21 includes: a parameter acquisition unit, which acquires the equipment operation monitoring parameters of the refrigeration equipment, and the equipment operation monitoring parameters are used to characterize the interaction between the refrigeration equipment and the external power supply and its own electrical consumption; a state determination unit, which determines the refrigerant thermodynamic state corresponding to the refrigeration equipment according to the equipment operation monitoring parameters and the refrigerant curve previously fitted based on the equipment simulation model; a parameter acquisition unit, which acquires the equipment operation control parameters of the refrigeration equipment based on the refrigerant thermodynamic state.

[0059] Furthermore, the equipment operation monitoring parameters include current, voltage, temperature, and frequency. The temperatures include compressor exhaust temperature, condenser outlet temperature, evaporator outlet temperature (superheat) and condenser outlet temperature (subcooling). The refrigerant curve is a saturated pressure-temperature relationship curve; the state determination unit is used to: determine the input power of the compressor based on the current and voltage, and estimate the compressor displacement in combination with the frequency to obtain the refrigerant flow; infer the condensing pressure based on the condenser outlet temperature in combination with the refrigerant curve to obtain the compressor exhaust pressure; determine the compressor suction specific enthalpy based on the compressor exhaust temperature and the compressor exhaust pressure, combined with the isentropic efficiency obtained based on experimental fitting; determine the evaporation pressure based on the evaporator outlet temperature in combination with the refrigerant curve to obtain the evaporator outlet specific enthalpy; determine the condensing pressure based on the condenser outlet temperature in combination with the refrigerant curve to obtain the condenser outlet specific enthalpy; determine the inlet and outlet state points of the evaporator and condenser based on each outlet specific enthalpy and the refrigerant flow, and obtain the refrigerant thermodynamic state corresponding to the refrigeration equipment.

[0060] In addition, the parameter acquisition unit is used to: determine the target operating conditions based on the thermodynamic state of the refrigerant, the target operating conditions include target temperature and target pressure; control the refrigeration equipment to operate to the target operating conditions, and collect the corresponding equipment operation control parameters.

[0061] In an optional embodiment, the device also includes: a model construction module, which constructs an equipment simulation model based on the refrigeration equipment before determining the refrigerant thermodynamic state corresponding to the equipment according to the equipment operation monitoring parameters and the refrigerant curve previously fitted based on the equipment simulation model; a fitting module, which inputs the preset refrigerant parameters into the equipment simulation model, determines the pressure and temperature of each component model in the equipment simulation model, the mass flow rate of the refrigerant in the entire cycle, the power consumed by the compressor, the heat absorbed by the evaporator, the heat released by the condenser, the superheat at the evaporator outlet and the subcooling at the condenser outlet, etc., to fit the refrigerant curve.

[0062] Specifically, the model building module is used to: establish component models based on each component of the refrigeration equipment; where the components include compressors, condensers, expansion valves, etc. and evaporators; determine the connection relationship between each component, and establish the system topology to form a closed loop to obtain a device simulation model.

[0063] In this embodiment, the high-voltage prediction module 22 is used to: input the equipment operation control parameters into the high-voltage prediction model to extract the operation characteristics based on the equipment operation control parameters, and extract the timing characteristics in combination with the equipment operation control parameters obtained within the target time before the equipment operation control parameters, and predict the high-voltage value based on the operation characteristics and the timing characteristics to obtain the high-voltage prediction result output by the high-voltage prediction model.

[0064] In addition, the parameter adjustment module 23 is used to: compare the high-pressure prediction result and the target pressure range, and compare the high-pressure prediction combination and the preset pressure threshold; when it is determined that the high-pressure prediction result is within the target pressure range, combine the preset parameter adjustment rules to determine the first parameter adjustment strategy, and adjust the corresponding equipment operation control parameters according to the first parameter adjustment strategy; wherein, the first parameter adjustment strategy includes controlling to reduce the input flow, reduce the motor speed, increase the valve opening and increase cooling or heat dissipation at least one; when it is determined that the high-pressure prediction result is less than the preset pressure threshold, combine the preset parameter adjustment rules to determine the second parameter adjustment strategy, and adjust the corresponding equipment operation control parameters according to the second parameter adjustment strategy; wherein, the second parameter adjustment strategy includes increasing the input flow and increasing the motor speed at least one.

[0065] Furthermore, the parameter adjustment module 23 is also used to: when it is determined that the high-pressure prediction result is outside the target pressure range and the high-pressure prediction result is greater than the upper limit of the target pressure range, determine and start the second preset high-pressure protection strategy in combination with the preset parameter adjustment rules; wherein the second preset high-pressure protection strategy includes at least one of automatic shutdown and alarm; when it is determined that the high-pressure prediction result is outside the target pressure range and the high-pressure prediction result is less than the lower limit of the target pressure range, and the high-pressure prediction result is greater than or equal to the preset pressure threshold, determine not to adjust the parameters in combination with the preset parameter adjustment rules.

[0066] In an optional embodiment, the device further includes: a trend determination module, which determines the pressure change trend based on the equipment operation control parameters and in combination with a preset rule library before comparing the high-pressure prediction result and the target pressure range, and comparing the high-pressure prediction combination and the preset pressure threshold, and adjusting the equipment operation control parameters based on the comparison result and in combination with the preset parameter adjustment rules; wherein the preset rule library is first constructed based on the pressure change trend corresponding to the change trend of the equipment operation control parameters.

[0067] Correspondingly, the parameter adjustment module 23 is also used to: based on the pressure change trend being a pressure increase and the high-pressure prediction result being within the target pressure range, determine a third parameter adjustment strategy in combination with the preset parameter adjustment rules, and adjust the corresponding equipment operation control parameters according to the third parameter adjustment strategy; wherein, the third parameter adjustment strategy includes controlling at least one of reducing the motor speed and increasing the valve opening; based on the pressure change trend being a pressure decrease and the high-pressure prediction result being less than the preset pressure threshold, determine a fourth parameter adjustment strategy in combination with the preset parameter adjustment rules, and adjust the corresponding equipment operation control parameters according to the fourth parameter adjustment strategy; wherein, the fourth parameter adjustment strategy includes increasing the motor speed and reducing the valve opening.

[0068] In an optional embodiment, the device also includes: a high-voltage update module, which inputs the adjusted equipment operation control parameters into the high-voltage prediction model after adjusting the equipment operation control parameters to obtain a high-voltage update prediction result output by the high-voltage prediction model; a post-processing module, which compares the high-voltage update prediction result with the target pressure range, and when it is determined that the high-voltage update prediction result is within the target pressure range, it is determined that there is a high-voltage risk, and combined with the preset parameter adjustment rules, determines and starts the first preset high-voltage protection strategy; wherein the first preset high-voltage protection strategy includes at least one of frequency reduction, shutdown and alarm.

[0069] Specifically, the device also includes: a refrigerant update module, which, after comparing the high-pressure update prediction result and the target pressure range, determines that the high-pressure update prediction result is outside the target pressure range and is less than the lower limit of the target pressure range, inputs the equipment operation control parameters corresponding to the high-pressure update prediction result into the equipment simulation model to update the refrigerant curve.

[0070] In addition, the device also includes: a model update module, which, after comparing the high-pressure update prediction result and the target pressure range, determines that the high-pressure update prediction result is outside the target pressure range and is less than the lower limit of the target pressure range, uses the high-pressure update prediction result and its corresponding equipment operation control parameters to update the high-pressure prediction model online.

[0071] To summarize, the embodiment of the present invention uses a high-pressure prediction model through a high-pressure prediction module to perform high-pressure prediction on the equipment operation control parameters obtained by the parameter acquisition module, so as to timely predict high pressure and improve response speed without waiting for high-pressure sensor data, thereby reducing hardware requirements, avoiding the problems of high-pressure sensors being high in cost, susceptible to contamination or difficult to install, reducing equipment costs, avoiding the risk of single sensor failure, and realizing forward-looking management of high-pressure risks. At the same time, the parameter adjustment module compares the high-pressure prediction results with the preset target range and the preset pressure threshold, and drives parameter adjustment based on the comparison results combined with the preset parameter adjustment rules to detect potential risks early and take action. At the same time, it can also optimize equipment performance within a safe range, ultimately improving the safety, stability and operation efficiency of the refrigeration system.

[0072] Figure 3 An example of a physical structure diagram of an electronic device is shown below. Figure 3 As shown, the electronic device may include: a processor 310, a communication interface 320, a memory 330, and a communication bus 340, wherein the processor 310, the communication interface 320, and the memory 330 communicate with each other via the communication bus 340. The processor 310 may call logic instructions in the memory 330 to execute a high-pressure protection method for refrigeration equipment, the method comprising: obtaining equipment operation control parameters of the refrigeration equipment; inputting the equipment operation control parameters into a high-pressure prediction model to obtain a high-pressure prediction result output by the high-pressure prediction model; wherein the high-pressure prediction model is trained based on historical operation parameters and high-pressure labels corresponding to the historical operation parameters; comparing the high-pressure prediction result with a target pressure range, and comparing the high-pressure prediction result with a preset pressure threshold, and adjusting the equipment operation control parameter based on the comparison result and a preset parameter adjustment rule; wherein the preset pressure threshold is less than a lower limit of the target pressure range, and the prediction parameter adjustment rule is previously constructed based on the comparison result of the high-pressure prediction result with the target pressure range and the parameter adjustment strategy corresponding to different comparison results.

[0073] Furthermore, the logic instructions in the aforementioned memory 330 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product, stored in a storage medium, includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0074] On the other hand, the present invention also provides a computer program product, which includes a computer program stored on a non-transitory computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a computer, the computer can execute the high-pressure protection method for refrigeration equipment provided by the above methods, the method including: obtaining equipment operation control parameters of the refrigeration equipment; inputting the equipment operation control parameters into a high-pressure prediction model to obtain a high-pressure prediction result output by the high-pressure prediction model; wherein the high-pressure prediction model is trained based on historical operating parameters and high-pressure labels corresponding to the historical operating parameters; comparing the high-pressure prediction result with the target pressure range, and comparing the high-pressure prediction combination with the preset pressure threshold, and adjusting the equipment operation control parameters based on the comparison result and the preset parameter adjustment rule; wherein the preset pressure threshold is less than the lower limit value of the target pressure range, and the prediction parameter adjustment rule is first constructed based on the comparison result of the high-pressure prediction result and the target pressure range and the parameter adjustment strategy corresponding to different comparison results.

[0075] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the above-mentioned high-pressure protection method for refrigeration equipment, the method comprising: obtaining equipment operation control parameters of the refrigeration equipment; inputting the equipment operation control parameters into a high-pressure prediction model to obtain a high-pressure prediction result output by the high-pressure prediction model; wherein the high-pressure prediction model is trained based on historical operation parameters and high-pressure labels corresponding to the historical operation parameters; comparing the high-pressure prediction result with the target pressure range, and comparing the high-pressure prediction combination with the preset pressure threshold, and adjusting the equipment operation control parameters based on the comparison result and the preset parameter adjustment rule; wherein the preset pressure threshold is less than the lower limit value of the target pressure range, and the prediction parameter adjustment rule is first constructed based on the comparison result of the high-pressure prediction result and the target pressure range and the parameter adjustment strategy corresponding to different comparison results.

[0076] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0077] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.

[0078] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A high-pressure protection method for refrigeration equipment, characterized in that: include: Obtain equipment operation control parameters of refrigeration equipment; Inputting the equipment operation control parameters into a high-voltage prediction model to obtain a high-voltage prediction result output by the high-voltage prediction model; wherein the high-voltage prediction model is trained based on historical operation parameters and high-voltage labels corresponding to the historical operation parameters; Compare the high-pressure prediction result and the target pressure range, and compare the high-pressure prediction combination and the preset pressure threshold, and adjust the equipment operation control parameters based on the comparison result and the preset parameter adjustment rules; wherein, the preset pressure threshold is less than the lower limit value of the target pressure range, and the prediction parameter adjustment rule is constructed based on the comparison result of the high-pressure prediction result and the target pressure range and the parameter adjustment strategy corresponding to different comparison results.

2. The high-pressure protection method for refrigeration equipment according to claim 1, characterized in that: Comparing the high pressure prediction result with the target pressure range, and comparing the high pressure prediction combination with a preset pressure threshold, and adjusting the equipment operation control parameters based on the comparison results and in combination with preset parameter adjustment rules, including: comparing the high pressure prediction result with a target pressure range, and comparing the high pressure prediction combination with a preset pressure threshold; When it is determined that the high-pressure prediction result is within the target pressure range, a first parameter adjustment strategy is determined in combination with the preset parameter adjustment rule, and the corresponding equipment operation control parameter is adjusted according to the first parameter adjustment strategy; wherein the first parameter adjustment strategy includes controlling at least one of reducing input flow, reducing motor speed, increasing valve opening, and increasing cooling or heat dissipation; When it is determined that the high-pressure prediction result is less than the preset pressure threshold, a second parameter adjustment strategy is determined in combination with the preset parameter adjustment rule, and the corresponding equipment operation control parameters are adjusted according to the second parameter adjustment strategy; wherein, the second parameter adjustment strategy includes at least one of increasing the input flow and increasing the motor speed.

3. The high-pressure protection method for refrigeration equipment according to claim 1, characterized in that: Obtain the equipment operation control parameters of the refrigeration equipment, including: Acquiring equipment operation monitoring parameters of the refrigeration equipment, wherein the equipment operation monitoring parameters are used to characterize the interaction between the refrigeration equipment and the external power supply and the electrical consumption of the refrigeration equipment; Determining the refrigerant thermodynamic state corresponding to the refrigeration equipment based on the equipment operation monitoring parameters and the refrigerant curve previously fitted based on the equipment simulation model; Based on the thermodynamic state of the refrigerant, equipment operation control parameters of the refrigeration equipment are collected.

4. The high-pressure protection method for refrigeration equipment according to claim 3, characterized in that: After adjusting the equipment operation control parameters, including: Inputting the adjusted equipment operation control parameters into the high-voltage prediction model to obtain a high-voltage update prediction result output by the high-voltage prediction model; comparing the high pressure update prediction result with the target pressure range; When it is determined that the high-pressure update prediction result is within the target pressure range, it is determined that there is a high-pressure risk, and combined with the preset parameter adjustment rules, the first preset high-pressure protection strategy is determined and started; wherein, the first preset high-pressure protection strategy includes at least one of frequency reduction, shutdown and alarm.

5. The high-pressure protection method for refrigeration equipment according to claim 4, characterized in that: After comparing the high pressure updated prediction result with the target pressure range, the method further comprises: When it is determined that the high-pressure update prediction result is outside the target pressure range and is less than the lower limit of the target pressure range, the equipment operation control parameter corresponding to the high-pressure update prediction result is input into the equipment simulation model to update the refrigerant curve.

6. The high-pressure protection method for refrigeration equipment according to claim 1, characterized in that: Before comparing the high pressure prediction result with the target pressure range, and comparing the high pressure prediction result with the preset pressure threshold, and adjusting the equipment operation control parameters according to the comparison results and the preset parameter adjustment rules, the method includes: Determine the pressure change trend based on the equipment operation control parameters and in combination with a preset rule base; wherein the preset rule base is previously constructed based on the pressure change trend corresponding to the change trend of the equipment operation control parameters; Based on the comparison results and the preset parameter adjustment rules, adjust the equipment operation control parameters, including: Based on the pressure change trend being a pressure increase and the high-pressure prediction result being within the target pressure range, a third parameter adjustment strategy is determined in combination with the preset parameter adjustment rule, and corresponding equipment operation control parameters are adjusted according to the third parameter adjustment strategy; wherein the third parameter adjustment strategy includes controlling at least one of reducing the motor speed and increasing the valve opening; Based on the fact that the pressure change trend is a pressure drop and the high-pressure prediction result is less than the preset pressure threshold, the fourth parameter adjustment strategy is determined in combination with the preset parameter adjustment rule, and the corresponding equipment operation control parameters are adjusted according to the fourth parameter adjustment strategy; wherein, the fourth parameter adjustment strategy includes at least one of increasing the motor speed and reducing the valve opening.

7. The high-pressure protection method for refrigeration equipment according to any one of claims 1 to 6, characterized in that: Inputting the equipment operation control parameters into the high-pressure prediction model to obtain the high-pressure prediction results output by the high-pressure prediction model includes: The equipment operation control parameters are input into a high-voltage prediction model to extract operation characteristics based on the equipment operation control parameters, and to extract timing characteristics in combination with the equipment operation control parameters obtained within a target time prior to the equipment operation control parameters, and based on the operation characteristics and the timing characteristics, a high-voltage value is predicted to obtain a high-voltage prediction result output by the high-voltage prediction model.

8. A high-pressure protection device for refrigeration equipment, characterized in that: include: Parameter acquisition module, which obtains the equipment operation control parameters of the refrigeration equipment; a high-voltage prediction module, which inputs the equipment operation control parameters into a high-voltage prediction model to obtain a high-voltage prediction result output by the high-voltage prediction model; wherein the high-voltage prediction model is trained based on historical operation parameters and high-voltage labels corresponding to the historical operation parameters; A parameter adjustment module compares the high-pressure prediction result and the target pressure range, and compares the high-pressure prediction combination and the preset pressure threshold, and adjusts the equipment operation control parameters based on the comparison result and the preset parameter adjustment rules; wherein the preset pressure threshold is less than the lower limit value of the target pressure range, and the prediction parameter adjustment rule is constructed based on the comparison result of the high-pressure prediction result and the target pressure range and the parameter adjustment strategy corresponding to different comparison results.

9. An air conditioning device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the high-pressure protection method for refrigeration equipment according to any one of claims 1 to 7 are implemented.

10. A non-transitory 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 high-pressure protection method for refrigeration equipment according to any one of claims 1 to 7 are implemented.

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