Compressor control method and device, medium and equipment

Abstract

The invention discloses a compressor control method and device, a medium and equipment, and multi-point monitoring of the temperature of an evaporator is realized by acquiring the distributed sampling temperature of each heat accumulation area of the evaporator; and when the distributed sampling temperature triggers control early warning, the target control temperature is predicted in advance, and the prospective temperature prediction mechanism effectively overcomes the defect that the pipe temperature sampling delay of a traditional evaporator is large. Once the target control temperature is larger than the control temperature threshold value, frequency reduction processing is rapidly carried out on the compressor, so that a control system can sensitively sense the temperature change of the evaporator in time and make a response rapidly, control lag caused by delay is avoided, and accurate control over the compressor is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of air conditioners, and particularly to a compressor control method, device, medium, and equipment. Background Art

[0002] Traditional evaporators have a relatively obvious delay problem in tube temperature sampling, which makes it impossible to timely and accurately reflect the real-time change of the compressor operating pressure. When the compressor is in a high-load operating state, this delay will cause the control system to be difficult to respond in a timely manner and implement effective control, which may lead to the phenomenon of frequent start and stop of the system. In the long run, it will also cause adverse consequences such as hardware damage. Summary of the Invention

[0003] Based on this, it is necessary to provide a compressor control method, device, medium, and equipment to solve the problem that traditional evaporators have an obvious delay in tube temperature sampling, making it impossible to timely and accurately reflect the real-time change of the compressor operating pressure and causing a delay in compressor control.

[0004] In a first aspect, an embodiment of the present application provides a compressor control method, and the method includes:

[0005] Obtain the distributed sampling temperature of the evaporator; wherein, the distributed sampling temperature is used to indicate the temperature sampled at each heat accumulation area of the evaporator;

[0006] When the distributed sampling temperature triggers a control warning, predict the target control temperature according to the distributed sampling temperature;

[0007] If the target control temperature is greater than the control temperature threshold, perform a frequency reduction process on the compressor in response to the target control temperature.

[0008] In some embodiments of the present application, the heat accumulation areas include at least two of the inlet section, the middle section, the outlet section, and the top area of the evaporator, and the distributed sampling temperature includes at least two of the first sampling temperature of the inlet section, the second sampling temperature of the middle section, the third sampling temperature of the outlet section, and the fourth sampling temperature of the top area;

[0009] After obtaining the distributed sampling temperature of the evaporator, it further includes:

[0010] In each sampling period, calculate the corresponding temperature change rate and temperature difference according to the distributed sampled temperature; wherein, the temperature change rate includes at least two of a first temperature change rate calculated according to the first sampled temperature, a second temperature change rate calculated according to the second sampled temperature, a third temperature change rate calculated according to the third sampled temperature, and a fourth temperature change rate calculated according to the fourth sampled temperature, and the temperature difference is calculated according to any two of the first sampled temperature, the second sampled temperature, the third sampled temperature, and the fourth sampled temperature;

[0011] If the temperature change rate and the temperature difference satisfy the warning conditions within a continuously preset number of sampling periods, it is determined that the distributed sampled temperature triggers a control warning.

[0012] In some embodiments of the present application, the warning conditions include: the temperature change rate is greater than the corresponding change rate threshold, and / or, the temperature difference is greater than the difference threshold.

[0013] In some embodiments of the present application, predicting the target control temperature according to the distributed sampled temperature includes:

[0014] Obtain the real-time compressor frequency, real-time ambient temperature, real-time indoor fan speed gear, historical temperature change rates of each heat accumulation area, and historical compressor start-stop times;

[0015] Input the distributed sampled temperature, the real-time compressor frequency, the real-time ambient temperature, the real-time indoor fan speed gear, the historical temperature change rates, and the historical compressor start-stop times into a long short-term memory network for prediction to obtain the target control temperature.

[0016] In some embodiments of the present application, reducing the frequency of the compressor in response to the target control temperature includes:

[0017] Reduce the current frequency of the compressor by a preset ratio, and obtain the target control temperature after frequency reduction;

[0018] If the target control temperature after frequency reduction is greater than the control temperature threshold, return to execute the step of reducing the frequency of the compressor until the target control temperature after frequency reduction is less than or equal to the control temperature threshold.

[0019] In some embodiments of the present application, the setting method of the control temperature threshold includes:

[0020] When the compressor is turned on, control the compressor to run at the rated frequency, and obtain the average value of the temperature change rates of each heat accumulation area and the control temperature reference value;

[0021] If the average value of the temperature change rate is less than or equal to the change rate threshold, the control temperature reference value is used as the control temperature threshold;

[0022] If the average value of the temperature change rate is greater than the change rate threshold, the product of the threshold adjustment coefficient and the control temperature reference value is used as the control temperature threshold; wherein, 0 < threshold adjustment coefficient < 1.

[0023] In some embodiments of the present application, after the compressor is down - frequency processed in response to the target control temperature, the following is further included:

[0024] Obtain the real - time fan current of the indoor unit;

[0025] If the deviation between the real - time fan current and the current reference value is greater than the deviation threshold, increase the down - frequency rate of the down - frequency processing.

[0026] In a second aspect, an embodiment of the present application further provides a compressor control device, and the compressor control device includes:

[0027] A sampling temperature acquisition module, configured to acquire the distributed sampling temperature of the evaporator; wherein, the distributed sampling temperature is used to indicate the temperature sampled at each heat - accumulation area of the evaporator;

[0028] A control temperature prediction module, configured to predict the target control temperature according to the distributed sampling temperature when the distributed sampling temperature triggers a control warning;

[0029] A control module, configured to down - frequency process the compressor in response to the target control temperature if the target control temperature is greater than the control temperature threshold.

[0030] In a third aspect, an embodiment of the present application further provides a terminal device, and the terminal device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the computer program is executed by the processor, the steps in the above - mentioned compressor control method are implemented.

[0031] In a fourth aspect, an embodiment of the present application further provides a computer - readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above - mentioned compressor control method are implemented.

[0032] In a fifth aspect, an embodiment of the present application further provides a computer program product or a computer program. The computer program product or the computer program includes computer instructions, and the computer instructions are stored in a computer - readable storage medium. A processor of a computer device reads the computer instructions from the computer - readable storage medium, and the processor executes the computer instructions, so that the computer device executes the methods provided in the various optional implementation manners of the embodiments of the present application.

[0033] The present invention provides a compressor control method, device, medium and equipment. By obtaining the distributed sampling temperatures of each heat accumulation area of the evaporator, multi-point monitoring of the evaporator temperature is achieved. And when the distributed sampling temperature triggers a control warning, the target control temperature is predicted in advance. This forward-looking temperature prediction mechanism effectively overcomes the drawback of large sampling delay of the traditional evaporator tube temperature. Once the target control temperature is greater than the control temperature threshold, the compressor is quickly downshifted, enabling the control system to more timely and sensitively sense the temperature change of the evaporator and quickly respond, avoiding control lag caused by delay and achieving precise control of the compressor. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0035] Among them:

[0036] Figure 1 is a schematic flow chart of the compressor control method;

[0037] Figure 2 is a schematic flow chart of the compressor control;

[0038] Figure 3 is a schematic structural diagram of the compressor control device;

[0039] Figure 4 is a structural block diagram of the terminal device. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0041] In the description and claims of this application and the above-mentioned drawings, terms such as "first", "second", etc. are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products or devices.

[0042] Reference to "embodiment" herein means that a particular feature, structure or characteristic described in connection with the embodiment can be included in at least one embodiment of this application. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0043] Please refer to Figure 1 , Figure 1 which is a schematic flow chart of the compressor control method provided in the first embodiment of this application. Although a logical order is shown in the flow chart, in some cases, the steps shown or described can be executed in a different order than that shown in the drawings. Specifically, the specific flow of the compressor control method provided in the first embodiment of this application is as follows:

[0044] S101, Obtain the distributed sampling temperature of the evaporator.

[0045] Among them, the distributed sampling temperature is used to indicate the temperatures sampled at each heat accumulation area of the evaporator, and these temperature data can characterize the heat exchange states of different parts of the evaporator during operation. The heat accumulation area refers to the high-temperature or low-temperature aggregation areas formed inside the evaporator, including but not limited to parts such as the inlet, outlet and intermediate key heat exchange sections of the evaporator.

[0046] In some embodiments of this application, at least one high-precision temperature sensor is installed in each key heat accumulation area (such as the inlet, outlet and intermediate heat exchange section) of the evaporator, and the specific quantity is determined according to the size and structural design of the evaporator. Then, the temperature sampling frequency is set through the control system, for example, once per second or adjusted to a higher frequency according to actual response requirements. Finally, the temperature sensors in each key heat accumulation area sample at the set sampling frequency, and all the sampled temperature data are used as the distributed sampling temperature of the evaporator.

[0047] S102, When the distributed sampling temperature triggers a control warning, predict the target control temperature according to the distributed sampling temperature.

[0048] Among them, control warning refers to a signal triggered based on the feature analysis of distributed sampled temperature, which is used to prompt that the system needs to perform control adjustment. The feature analysis here specifically refers to the analysis of eigenvalue such as the change rate, maximum value, minimum value of the distributed sampled temperature, including but not limited to these. The target control temperature refers to a comprehensive temperature value calculated from the distributed sampled temperature through a prediction model, which can represent the overall heat load state of the evaporator, and this comprehensive temperature value is used to guide the control decision of the compressor.

[0049] It can be understood that since a single temperature point is difficult to comprehensively reflect the heat load change of the evaporator under high load or dynamic conditions, the comprehensive analysis of multiple temperatures based on the distributed sampled temperature can detect abnormal trends earlier, thereby triggering a warning. And because the temperature changes in different heat accumulation areas of the evaporator have different effects on the operating pressure of the compressor, the target control temperature is predicted by integrating the temperatures of each area here to more accurately characterize the state of the evaporator.

[0050] In some embodiments of the present application, the temperature warning thresholds for each heat accumulation area are preset first (for example, the inlet temperature exceeds a °C or the temperature change rate is greater than b °C / s). These thresholds are determined according to the design parameters and historical operation data of the evaporator. Then, the collected distributed sampled temperature is compared with the above temperature warning thresholds and warning conditions in real time to determine whether the temperature or change rate of a single area exceeds the threshold. If any condition is met, a control warning is triggered.

[0051] In some embodiments of the present application, when the control warning is triggered, the control system calls a preset prediction model (such as a weighted average model or a dynamic prediction algorithm based on machine learning). This model takes the distributed sampled temperature as the input, comprehensively considers the temperature weights of each heat accumulation area (for example, the inlet weight is 30%, the intermediate heat exchange section is 50%, and the outlet is 20%), and the historical temperature trend, and calculates the target control temperature.

[0052] S103, if the target control temperature is greater than the control temperature threshold, the compressor is down - frequency processed in response to the target control temperature.

[0053] Among them, the control temperature threshold is a critical temperature value used to judge whether the operating state of the evaporator needs to adjust the operating frequency of the compressor. It can be a preset value determined based on the design parameters of the evaporator, or a dynamically changing value determined based on the distributed sampled temperature, and no specific limitation is made here.

[0054] It can be understood that the target control temperature exceeding the threshold indicates that the current heat load of the evaporator is too high, which may cause the operating pressure of the compressor to be too high or overheat; therefore, by reducing the operating frequency, the refrigerant flow rate is reduced, thereby reducing the heat load and system pressure of the evaporator.

[0055] In some embodiments of the present application, when performing frequency reduction processing, the required frequency reduction amplitude can be determined according to the difference between the target control temperature and the control temperature threshold. For example, if the difference is c °C, the frequency can be reduced by d Hz according to a preset rule; if the difference is larger, the frequency reduction amplitude will increase accordingly. Among them, the frequency reduction amplitude is usually determined by looking up a table or using a linear interpolation method.

[0056] In the above embodiment, by obtaining the distributed sampling temperatures of each heat accumulation region of the evaporator, multi-point monitoring of the evaporator temperature is realized; and when the distributed sampling temperature triggers a control warning, the target control temperature is predicted in advance. This forward-looking temperature prediction mechanism effectively overcomes the drawback of a large delay in the traditional evaporator tube temperature sampling. Once the target control temperature is greater than the control temperature threshold, the compressor is quickly subjected to frequency reduction processing, enabling the control system to more timely and sensitively sense the temperature change of the evaporator and respond quickly, avoiding control lag caused by delay, and achieving precise control of the compressor.

[0057] Please refer to Figure 2 , Figure 2 which is a schematic flowchart of the compressor control method provided by the second embodiment of the present application. Although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than that shown in the drawings. The heat accumulation regions in this second embodiment include the inlet section, the middle section, the outlet section, and the top region of the evaporator.

[0058] Specifically, the specific process of the compressor control method provided by the second embodiment of the present application is as follows:

[0059] S201, obtain at least two of the first sampling temperature of the inlet section, the second sampling temperature of the middle section, the third sampling temperature of the outlet section, and the fourth sampling temperature of the top region.

[0060] Among them, the first sampling temperature refers to the temperature data of the inlet section of the evaporator collected by the inlet section sensor, which is used to reflect the initial heat load state when the refrigerant enters the evaporator. The second sampling temperature refers to the temperature data of the middle region of the evaporator collected by the middle section sensor, which is used to characterize the heat exchange efficiency of the main heat exchange region. The third sampling temperature refers to the temperature data of the outlet section of the evaporator collected by the outlet section sensor, which is used to reflect the temperature state of the refrigerant after completing heat exchange. The fourth sampling temperature refers to the temperature data of the top region of the evaporator collected by the top redundant sensor, which is used to monitor abnormal high temperatures caused by air flow blockage or heat accumulation. The top redundant sensor refers to an additional temperature sensor provided at the top of the evaporator, which is used to provide supplementary data in scenarios where the installation space is limited or single-point sampling fails, ensuring the reliability of temperature monitoring.

[0061] Optionally, the sampling temperatures at any two of them can be obtained. For example, the first sampling temperature at the inlet section and the second sampling temperature at the middle section can be obtained, or the third sampling temperature at the outlet section and the fourth sampling temperature at the top region can be obtained. Of course, the sampling temperatures at any three of them can also be obtained, or the sampling temperatures of all the heat accumulation regions can be obtained, which are not specifically limited here. These combinations provide a flexible sampling strategy for the system, and a suitable scheme can be selected according to the specific application scenario to optimize the control effect.

[0062] S202. In each sampling period, calculate the corresponding temperature change rate and temperature difference according to the distributed sampling temperatures.

[0063] Among them, the temperature change rate includes at least two of the first temperature change rate calculated according to the first sampling temperature, the second temperature change rate calculated according to the second sampling temperature, the third temperature change rate calculated according to the third sampling temperature, and the fourth temperature change rate calculated according to the fourth sampling temperature. The temperature difference is calculated according to any two of the first sampling temperature, the second sampling temperature, the third sampling temperature, and the fourth sampling temperature.

[0064] Optionally, taking the first temperature change rate as an example, in each sampling period Δt, obtain the first sampling temperature T1 at the start of the sampling period and the first sampling temperature T2 at the end of the sampling period, calculate the difference between the two ΔT1 = T2 - T1, and then obtain the first temperature change rate ΔT1 / Δt. Similarly, any two of the second temperature change rate ΔT2 / Δt, the third temperature change rate ΔT3 / Δt, and the fourth temperature change rate ΔT4 / Δt can be obtained. Further, select any two of the first sampling temperature, the second sampling temperature, the third sampling temperature, and the fourth sampling temperature, and in each sampling period, take the average value of the differences between the two sampling temperatures at the same sampling time as the temperature difference. For example, the two sampling temperatures selected can be the third sampling temperature and the fourth sampling temperature.

[0065] Further, before calculating the data in this step, a sliding window filtering algorithm can also be used to filter the sampling temperatures to eliminate noise interference. For example, set the window length to 10 seconds. If the sampling frequency is 0.5 seconds per time, each window contains 20 sampling points. For a certain sampling temperature in a certain sampling period, take 20 sampling points within the previous and subsequent 10 seconds (including the current point), and calculate their average value as the filtered temperature value at this moment. The window slides forward with time, moving one sampling point (0.5 seconds) each time, and repeat the calculation to update the filtering result.

[0066] S203. If the temperature change rate and temperature difference within a continuous preset number of sampling periods meet the warning conditions, it is determined that the distributed sampling temperature triggers a control warning.

[0067] In some embodiments of the present application, the warning conditions in S203 include that the temperature change rate is greater than the corresponding change rate threshold, and / or the temperature difference is greater than the difference threshold.

[0068] Exemplarily, the temperature change rate includes two temperature change rates, namely the first temperature change rate and the second temperature change rate. Then, when the first temperature change rate is greater than the corresponding first temperature change rate threshold (e.g., 1 °C / s), and / or the second temperature change rate is greater than the corresponding second temperature change rate threshold (e.g., 2 °C / s), it is determined that the temperature change rate is greater than the corresponding change rate threshold. Or, the temperature change rate includes four temperature change rates, namely the first temperature change rate, the second temperature change rate, the third temperature change rate, and the fourth temperature change rate. Then, when the first temperature change rate is greater than the corresponding first temperature change rate threshold (e.g., 1 °C / s), and / or the second temperature change rate is greater than the corresponding second temperature change rate threshold (e.g., 2 °C / s), and / or the third temperature change rate is greater than the corresponding third temperature change rate threshold (e.g., 1 °C / s), and / or the fourth temperature change rate is greater than the corresponding fourth temperature change rate threshold (e.g., 1.5 °C / s), it is determined that the temperature change rate is greater than the corresponding change rate threshold.

[0069] Exemplarily, the temperature difference is the difference between the third sampled temperature and the fourth sampled temperature. When this difference is greater than the corresponding temperature difference threshold (e.g., 8 °C), it is determined that the temperature difference is greater than the difference threshold.

[0070] It can be understood that these change rate thresholds and difference thresholds are determined through experiments in combination with the design parameters of the evaporator, historical operation data, and typical working conditions. The preset number of sampling periods here can be set to 3 sampling periods. Of course, it can also be other values, and no specific limitation is made here.

[0071] The above S201 - S203 obtain at least two sampled temperatures in the inlet section, middle section, outlet section, and top area of the evaporator, calculate the corresponding temperature change rate and difference, and finally comprehensively evaluate whether the temperature change rate and temperature difference meet the warning conditions in multiple consecutive sampling periods. By sampling at multiple points, the delay and noise interference of a single sampling point are overcome; and dynamically analyzing the temperature change rate and difference can sensitively capture system anomalies and enhance the response speed of the control system; and the flexible sampling combination strategy can adapt to different working conditions.

[0072] S204, when the distributed sampled temperatures trigger a control warning, obtain the real-time compressor frequency, real-time ambient temperature, real-time indoor unit air volume gear, historical temperature change rate of each heat accumulation area, and historical compressor start-stop times.

[0073] In some embodiments of the present application, the current real-time compressor frequency of the compressor is read through a frequency converter. The current real-time ambient temperature is collected through an external ambient temperature sensor. The current real-time indoor unit air volume gear is obtained from the indoor unit control system (for example, it is divided into three gears: low, medium, and high in total, and the current is the high gear, which is digitized to 3). The temperature change rate sequences of each heat accumulation area within the previous 10 minutes are extracted from the database as the historical temperature change rates. The start-stop times of the compressor within the previous hour are extracted from the system log.

[0074] It can be understood that the multi-source data is obtained here because a single temperature data cannot comprehensively reflect the dynamic changes of the evaporator heat load; by combining the operating parameters and historical data, more comprehensive system state information can be provided.

[0075] S205, input the distributed sampling temperature, real-time compressor frequency, real-time ambient temperature, real-time indoor unit air volume gear, historical temperature change rate, and historical compressor start-stop times into a long short-term memory network for prediction to obtain the target control temperature.

[0076] In some embodiments of the present application, first, the distributed sampling temperature, real-time compressor frequency, real-time ambient temperature, real-time indoor unit air volume gear, historical temperature change rate, and historical compressor start-stop times are normalized to [0, 1] to form a time series input vector. Then, the time series input vector is input into a long short-term memory network (Long Short-Term Memory Network, LSTM). The LSTM realizes the analysis and prediction of the input data through the coordinated operation of the forget gate, input gate, memory unit, and output gate. Among them, the forget gate receives the current input vector and the hidden state at the previous moment, and generates a forgetting factor (between 0 and 1) through the sigmoid activation function. The forgetting factor determines how much historical information to retain. For example, a lower weight is given to the part of the historical temperature change rate that is irrelevant to the current working condition (such as earlier low-load data) to forget the irrelevant information. The input gate receives the current input vector and the hidden state at the previous moment, and determines which new information (such as the current distributed sampling temperature and real-time compressor frequency) needs to be updated to the memory unit through the sigmoid and tanh activation functions. The memory unit combines the outputs of the forget gate and the input gate to update the memory unit of the LSTM, fusing short-term fluctuations (such as real-time ambient temperature) and long-term trends (such as historical temperature change rate) to form a comprehensive time series feature representation. The output gate determines which memory unit information is used to generate the prediction value at the current moment through the sigmoid activation function. The output gate synthesizes short-term fluctuations and long-term trends to generate a hidden state vector, which is mapped to the target control temperature through a fully connected layer.

[0077] Optionally, the target control temperature here can actually be set to the evaporator outlet temperature, because the outlet temperature directly reflects the state of the refrigerant after heat exchange, and is closely related to the operating load of the compressor and the system efficiency.

[0078] In the above S204 - S205, the multi - layer neural network unit of LSTM analyzes the distributed sampling temperature, real - time compressor frequency, real - time ambient temperature, real - time indoor unit air volume gear, historical temperature change rate, and historical compressor start - stop times, achieving accurate prediction of the target control temperature, overcoming the deficiency of the traditional model in processing complex time - series data and the problem of causing delays.

[0079] S206, if the target control temperature is greater than the control temperature threshold, the compressor is frequency - reduced in response to the target control temperature.

[0080] In some embodiments of the present application, the setting method of the control temperature threshold includes: when the compressor is turned on, the compressor is controlled to operate at the rated frequency, and the average temperature change rate and the control temperature reference value of each heat - accumulation area are obtained. If the average temperature change rate is less than or equal to the change rate threshold, the control temperature reference value is used as the control temperature threshold. If the average temperature change rate is greater than the change rate threshold, the product of the threshold adjustment coefficient and the control temperature reference value is used as the control temperature threshold.

[0081] Among them, the average temperature change rate refers to the average value of the temperature change rates of each heat - accumulation area (inlet section, middle section, outlet section, top area) when the compressor operates at the rated frequency. The control temperature reference value is a reference temperature value determined based on the temperature data of each heat - accumulation area when the compressor operates at the rated frequency. 0 < threshold adjustment coefficient < 1.

[0082] It can be understood that the system is in a stable state under the rated frequency, and can provide reliable temperature change rate and reference value data. By analyzing these data, the initial heat load characteristics of the system can be accurately reflected. If the average temperature change rate is less than or equal to the change rate threshold, it indicates that the system is in a normal working condition. At this time, the control temperature reference value is directly used as the control temperature threshold. For example, the control temperature threshold is set to the control temperature reference value of 65°C. If the average temperature change rate is greater than the change rate threshold, it may indicate that the top space of the system is insufficient or the evaporator is under - sized. Therefore, here the control temperature threshold is reduced by the threshold adjustment coefficient to improve the sensitivity of the system to abnormalities. For example, the threshold adjustment coefficient = 0.8, and at this time the control temperature threshold is set to 52°C. Optionally, if the average temperature change rate is greater than the change rate threshold, the weight of the data corresponding to the top sensor in the LSTM model can also be increased to further improve the sensitivity to abnormalities.

[0083] In some embodiments of the present application, the step of frequency - reducing the compressor in response to the target control temperature in S206 specifically includes the following steps:

[0084] S2061, reduce the current frequency of the compressor by a preset ratio, and obtain the target control temperature after the frequency reduction.

[0085] Wherein, the preset ratio refers to the percentage of the compressor frequency reduction, which can be a fixed value or a variable value, and is not limited herein.

[0086] S2062, if the target control temperature after the frequency reduction is greater than the control temperature threshold, return to execute S2061 until the target control temperature after the frequency reduction is less than or equal to the control temperature threshold.

[0087] Optionally, reduce the current frequency of the compressor (such as 60Hz) by a preset ratio (such as 10%, that is, reduce to 54Hz). The target control temperature after the frequency reduction can be obtained again through S204 - S205, which will not be elaborated herein. Compare the target control temperature after the frequency reduction with the control temperature threshold. If the target control temperature after the frequency reduction is still greater than the threshold, return to step S2061, continue to reduce the frequency (such as reduce by 5% again, from 54Hz to 51.3Hz), and predict the target control temperature again after running for 10 seconds. If the target control temperature after the frequency reduction is less than or equal to the threshold, stop the frequency reduction and maintain the current frequency.

[0088] In the above S2061 - S2062, by adopting the gradient frequency reduction strategy to reduce the compressor frequency in stages and predict the target control temperature after the frequency reduction in real time, the precise regulation of the evaporator heat load is realized, overcoming the problems of system instability or insufficient refrigeration caused by traditional fixed frequency reduction or one - time large - scale frequency reduction.

[0089] Further, for the compressor control method provided in the above second embodiment, the following steps can also be executed: obtain the real - time fan current of the indoor unit. If the deviation between the real - time fan current and the current reference value is greater than the deviation threshold, increase the frequency reduction rate of the frequency reduction process.

[0090] Optionally, the fan current value is monitored in real time through the current sensor of the indoor unit fan, and the current reference value of the indoor unit fan is obtained from the database. Calculate the deviation percentage between the real - time fan current and the current reference value, and compare the deviation with the preset deviation threshold. If the deviation is greater than the deviation threshold, it indicates that the air duct may be blocked (such as blocked at the top), and the control system increases the frequency reduction rate. For example, increase the frequency reduction amplitude of the original gradient frequency reduction strategy from 10% to 15% (such as from 60Hz to 51Hz), or shorten the frequency reduction interval time (such as from 10 seconds to 5 seconds), or reduce the frequency by an additional 3Hz to 5Hz each time. In addition, the weight of the wind speed factor in the LSTM model can also be increased to strengthen the inhibitory effect of the wind speed on the temperature rise.

[0091] Generally speaking, the above second embodiment collects the first to fourth sampled temperatures at the inlet section, middle section, outlet section, and top area of the evaporator, calculates the temperature change rates of each area and the temperature difference between the outlet and the top, triggers a control warning based on the warning condition that at least one change rate or temperature difference exceeds the threshold within multiple consecutive sampling periods, combines the real-time compressor frequency, ambient temperature, indoor fan speed gear, historical temperature change rate, and start-stop times to input into the LSTM model to predict the evaporator outlet temperature, adopts a gradient frequency reduction strategy to adjust the compressor frequency in stages, and dynamically adjusts the frequency reduction rate by monitoring the deviation of the indoor fan current, achieving precise detection and adjustment of abnormal evaporator heat load, overcoming the limitations of traditional single-point sampling, fixed threshold, and single frequency reduction strategy, significantly improving the response speed, control accuracy, and operation stability of the refrigeration system, and effectively avoiding control out-of-step, frequent start-stop, and hardware damage.

[0092] To facilitate better implementation of the compressor control method of the present application, the present application also provides a compressor control device based on the above compressor control method. The meanings of the terms are the same as those in the above compressor control method, and the specific implementation details can refer to the description in the method embodiment.

[0093] Please refer to Figure 3 , Figure 3 which is a schematic structural diagram of the compressor control device provided by the embodiment of the present application, and specifically may include:

[0094] A sampled temperature acquisition module 301, configured to acquire the distributed sampled temperatures of the evaporator; wherein, the distributed sampled temperatures are used to indicate the temperatures sampled at each heat accumulation area of the evaporator;

[0095] A control temperature prediction module 302, configured to predict the target control temperature according to the distributed sampled temperatures when the distributed sampled temperatures trigger a control warning;

[0096] A control module 303, configured to perform a frequency reduction process on the compressor in response to the target control temperature if the target control temperature is greater than the control temperature threshold.

[0097] In the above embodiment, by acquiring the distributed sampled temperatures of each heat accumulation area of the evaporator, multi-point monitoring of the evaporator temperature is achieved; and when the distributed sampled temperatures trigger a control warning, the target control temperature is predicted in advance. This forward-looking temperature prediction mechanism effectively overcomes the drawback of large sampling delay of the traditional evaporator tube temperature. Once the target control temperature is greater than the control temperature threshold, the compressor is quickly subjected to a frequency reduction process, enabling the control system to more timely and sensitively sense the change in the evaporator temperature and quickly respond, avoiding control lag caused by delay, and achieving precise control of the compressor.

[0098] In some embodiments of the present application, the heat accumulation region includes at least two of the inlet section, the middle section, the outlet section, and the top region of the evaporator, and the distributed sampling temperatures include at least two of the first sampling temperature of the inlet section, the second sampling temperature of the middle section, the third sampling temperature of the outlet section, and the fourth sampling temperature of the top region; after obtaining the distributed sampling temperatures of the evaporator, it further includes: within each sampling period, calculating the corresponding temperature change rate and temperature difference according to the distributed sampling temperatures; wherein, the temperature change rate includes at least two of the first temperature change rate calculated according to the first sampling temperature, the second temperature change rate calculated according to the second sampling temperature, the third temperature change rate calculated according to the third sampling temperature, and the fourth temperature change rate calculated according to the fourth sampling temperature, and the temperature difference is calculated according to any two of the first sampling temperature, the second sampling temperature, the third sampling temperature, and the fourth sampling temperature; if the temperature change rate and the temperature difference within a continuous preset number of sampling periods meet the warning conditions, it is determined that the distributed sampling temperatures trigger a control warning.

[0099] In some embodiments of the present application, the warning conditions include: the temperature change rate is greater than the corresponding change rate threshold, and / or, the temperature difference is greater than the difference threshold.

[0100] In some embodiments of the present application, predicting the target control temperature according to the distributed sampling temperatures includes: obtaining the real-time compressor frequency, the real-time ambient temperature, the real-time indoor fan speed gear, the historical temperature change rates of each heat accumulation region, and the historical compressor start-stop times; inputting the distributed sampling temperatures, the real-time compressor frequency, the real-time ambient temperature, the real-time indoor fan speed gear, the historical temperature change rates, and the historical compressor start-stop times into a long short-term memory network for prediction to obtain the target control temperature.

[0101] [[ID=⑨]]In some embodiments of the present application, reducing the frequency of the compressor in response to the target control temperature includes: reducing the current frequency of the compressor by a preset ratio, and obtaining the target control temperature after the frequency reduction; if the target control temperature after the frequency reduction is greater than the control temperature threshold, return to execute the step of reducing the frequency of the compressor until the target control temperature after the frequency reduction is less than or equal to the control temperature threshold.

[0102] In some embodiments of the present application, the setting method of the control temperature threshold includes: when the compressor is turned on, controlling the compressor to operate at the rated frequency, and obtaining the average value of the temperature change rates of each heat accumulation region and the control temperature reference value; if the average value of the temperature change rates is less than or equal to the change rate threshold, using the control temperature reference value as the control temperature threshold; if the average value of the temperature change rates is greater than the change rate threshold, using the product of the threshold adjustment coefficient and the control temperature reference value as the control temperature threshold; wherein, 0 < threshold adjustment coefficient < 1.

[0103] Note: In the translation of item , the number "⑨" in the original text seems to be a mislabeling. It should probably be . I translated it according to the correct understanding. If there is any error in my understanding, please let me know.In some embodiments of the present application, after the compressor is down - frequency processed in response to the target control temperature, it further includes: obtaining the real - time fan current of the indoor unit; if the deviation between the real - time fan current and the current reference value is greater than the deviation threshold, increasing the down - frequency rate of the down - frequency processing.

[0104] In addition, the present application further provides a terminal device, as Figure 4 shown, which shows a schematic structural diagram of the terminal device involved in the present application. Specifically:

[0105] The terminal device may include a processor 401 with one or more processing cores, a memory 402 with one or more computer - readable storage media, a power supply 403, an input unit 404 and other components. Those skilled in the art can understand that Figure 4 the structure of the terminal device shown in

[0106] does not limit the terminal device, and it may include more or fewer components than shown in the figure, or combine certain components, or have different component arrangements.

[0107] Among them:

[0107] The processor 401 is the control center of the terminal device, connecting various parts of the entire terminal device through various interfaces and lines. By running or executing software programs and / or modules stored in the memory 402, and calling data stored in the memory 402, it executes various functions of the terminal device and processes data, thereby monitoring the terminal device as a whole. Optionally, the processor 401 may include one or more processing cores; preferably, the processor 401 may integrate an application processor and a modem processor. Among them, the application processor mainly processes the operating system, user interface, application programs, etc., and the modem processor mainly processes wireless communication. It can be understood that the above - mentioned modem processor may not be integrated into the processor 401 either.

[0108] The memory 402 can be used to store software programs and modules. The processor 401 executes various functional applications and data processing by running the software programs and modules stored in the memory 402. The memory 402 may mainly include a program storage area and a data storage area. Among them, the program storage area can store the operating system, application programs required for at least one function, etc.; the data storage area can store data created according to the use of the terminal device. In addition, the memory 402 may include high - speed random - access memory, and may also include non - volatile memory, such as at least one magnetic disk storage device, a flash memory device, or other non - volatile solid - state storage devices. Correspondingly, the memory 402 may further include a memory controller to provide the processor 401 with access to the memory 402.

[0109] The terminal device further includes a power supply 403 for powering each component. Preferably, the power supply 403 can be logically connected to the processor 401 through a power management system, so as to implement functions such as management of charging, discharging, and power consumption management through the power management system. The power supply 403 can also include any components such as one or more DC or AC power supplies, a recharge system, a power device debugging circuit, a power converter or inverter, and a power status indicator.

[0110] The terminal device may further include an input unit 404, which can be used to receive input digital or character information, and generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control.

[0111] Although not shown, the terminal device may further include a display unit and the like, which will not be elaborated here. Specifically, in this embodiment, the processor 401 in the terminal device will load the executable files corresponding to the processes of one or more application programs into the memory 402 according to the following instructions, and the processor 401 will run the application programs stored in the memory 402, so as to implement the steps in any of the compressor control methods provided by the embodiments of the present application: obtaining the distributed sampling temperature of the evaporator; wherein, the distributed sampling temperature is used to indicate the temperature sampled at each heat accumulation area of the evaporator; when the distributed sampling temperature triggers a control warning, predicting the target control temperature according to the distributed sampling temperature; if the target control temperature is greater than the control temperature threshold, performing a frequency reduction process on the compressor in response to the target control temperature.

[0112] In the above embodiment, by obtaining the distributed sampling temperature of each heat accumulation area of the evaporator, multi-point monitoring of the evaporator temperature is realized; and when the distributed sampling temperature triggers a control warning, the target control temperature is predicted in advance. This forward-looking temperature prediction mechanism effectively overcomes the drawback of large sampling delay of the traditional evaporator tube temperature. Once the target control temperature is greater than the control temperature threshold, the compressor is quickly subjected to a frequency reduction process, so that the control system can more timely and sensitively sense the change of the evaporator temperature and quickly make a response, avoiding control lag caused by delay, and realizing precise control of the compressor.

[0113] For the specific implementation of each of the above operations, reference can be made to the previous embodiments and will not be elaborated here.

[0114] Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructions, or by controlling relevant hardware through instructions. The instructions can be stored in a computer-readable storage medium and loaded and executed by a processor.

[0115] To this end, the present application provides a computer-readable storage medium, on which a computer program is stored. The computer program can be loaded by a processor to execute the steps in any of the compressor control methods provided by the present application.

[0116] For the specific implementation of each of the above operations, reference can be made to the previous embodiments, which will not be elaborated here.

[0117] Among them, the computer-readable storage medium may include: read-only memory (ROM, Read Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk, etc.

[0118] Since the instructions stored in the computer-readable storage medium can execute the steps in any of the compressor control methods provided by the present application, the beneficial effects achievable by any of the compressor control methods provided by the present application can be realized. For details, reference can be made to the previous embodiments, which will not be elaborated here.

[0119] The above has introduced in detail a compressor control method, device, terminal device, and computer-readable storage medium provided by the present application. Specific examples are used herein to elaborate on the principles and implementation manners of the present invention. The description of the above embodiments is only used to help understand the method and its core idea of the present invention; at the same time, for those skilled in the art, according to the idea of the present invention, there will be changes in the specific implementation manners and application scopes. In summary, the content of this specification should not be construed as a limitation to the present invention.

Claims

1. A compressor control method, characterized in that, The method includes: Obtaining the distributed sampling temperature of the evaporator; wherein, the distributed sampling temperature is used to indicate the temperature sampled at each heat accumulation area of the evaporator; When the distributed sampling temperature triggers a control warning, predicting a target control temperature according to the distributed sampling temperature; If the target control temperature is greater than the control temperature threshold, performing a frequency reduction process on the compressor in response to the target control temperature.

2. The compressor control method according to claim 1, wherein, The heat accumulation area includes at least two of the inlet section, the middle section, the outlet section, and the top area of the evaporator, and the distributed sampling temperature includes at least two of the first sampling temperature of the inlet section, the second sampling temperature of the middle section, the third sampling temperature of the outlet section, and the fourth sampling temperature of the top area; After obtaining the distributed sampling temperature of the evaporator, it further includes: Within each sampling period, calculating the corresponding temperature change rate and temperature difference according to the distributed sampling temperature; wherein, the temperature change rate includes at least two of the first temperature change rate calculated according to the first sampling temperature, the second temperature change rate calculated according to the second sampling temperature, the third temperature change rate calculated according to the third sampling temperature, and the fourth temperature change rate calculated according to the fourth sampling temperature, and the temperature difference is calculated according to any two of the first sampling temperature, the second sampling temperature, the third sampling temperature, and the fourth sampling temperature; If the temperature change rate and the temperature difference meet the warning conditions within a continuously preset number of sampling periods, it is determined that the distributed sampling temperature triggers a control warning.

3. The compressor control method according to claim 2, wherein, The warning conditions include: the temperature change rate is greater than the corresponding change rate threshold, and / or, the temperature difference is greater than the difference threshold.

4. The compressor control method according to claim 1, wherein The predicting the target control temperature according to the distributed sampling temperature includes: Obtaining the real-time compressor frequency, the real-time ambient temperature, the real-time indoor fan speed gear, the historical temperature change rate of each heat accumulation area, and the historical compressor start-stop times; Inputting the distributed sampling temperature, the real-time compressor frequency, the real-time ambient temperature, the real-time indoor fan speed gear, the historical temperature change rate, and the historical compressor start-stop times into a long short-term memory network for prediction to obtain the target control temperature.

5. The compressor control method according to claim 1, wherein The performing the frequency reduction process on the compressor in response to the target control temperature includes: Reducing the current frequency of the compressor by a preset ratio and obtaining the target control temperature after frequency reduction; If the target control temperature after frequency reduction is greater than the control temperature threshold, return to execute the step of reducing the frequency of the compressor until the target control temperature after frequency reduction is less than or equal to the control temperature threshold.

6. The compressor control method according to claim 1, wherein The setting method of the control temperature threshold includes: When the compressor is turned on, controlling the compressor to operate at the rated frequency, and obtaining the average value of the temperature change rate of each heat accumulation area and the control temperature reference value; If the average value of the temperature change rate is less than or equal to the change rate threshold, using the control temperature reference value as the control temperature threshold; If the average value of the temperature change rate is greater than the change rate threshold, then the product of the threshold adjustment coefficient and the control temperature reference value is used as the control temperature threshold; where, 0 < threshold adjustment coefficient < 1.

7. The compressor control method according to claim 1, characterized in that After performing the frequency reduction process on the compressor in response to the target control temperature, it further includes: Obtaining the real-time fan current of the indoor unit; If the deviation between the real-time fan current and the current reference value is greater than the deviation threshold, then increase the frequency reduction rate of the frequency reduction process.

8. A compressor control device, characterized in that, The compressor control device includes: A sampling temperature acquisition module, configured to acquire the distributed sampling temperature of the evaporator; where, the distributed sampling temperature is used to indicate the temperature sampled at each heat accumulation area of the evaporator; A control temperature prediction module, configured to predict the target control temperature according to the distributed sampling temperature when the distributed sampling temperature triggers a control warning; A control module, configured to perform a frequency reduction process on the compressor in response to the target control temperature if the target control temperature is greater than the control temperature threshold.

9. A computer-readable storage medium, characterized in that, Stores a computer program, which when executed by a processor causes the processor to execute the steps of the method according to any one of claims 1 to 7.

10. A terminal device, characterized in that, Includes a memory and a processor, the memory stores a computer program, which when executed by the processor causes the processor to execute the steps of the method according to any one of claims 1 to 7.

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