Operation monitoring method and system for intelligent refrigeration equipment

Abstract

The invention relates to the technical field of refrigeration system monitoring, in particular to an operation monitoring method and system for intelligent refrigeration equipment, and the method comprises the steps: obtaining the cooperative operation data of a condenser and a high-pressure liquid storage tank, and judging whether the operation is normal or not according to the cooperative operation data; if yes, extracting steady-state operation data of the high-pressure liquid storage tank according to the cooperative operation data; generating operation monitoring excitation according to the steady-state operation data, and obtaining excitation feedback data; and whether the high-pressure liquid storage tank is abnormal or not is judged according to the excitation feedback data, and if yes, refrigeration equipment abnormity reminding is generated. According to the method, whether the high-pressure liquid storage tank is abnormal or not is judged according to the excitation feedback data, and if yes, the refrigeration equipment abnormity reminding is generated, so that the flexibility and reliability of operation monitoring are improved.

Description

Technical Field

[0001] This application relates to the field of refrigeration system monitoring technology, and in particular to a method and system for monitoring the operation of intelligent refrigeration equipment. Background Technology

[0002] A refrigeration system is a device that uses external energy sources, such as electrical energy, thermal energy, or mechanical energy, to transfer heat from a cooler object or space to a warmer environment. Its core structure includes a compressor, condenser, high-pressure receiver-and-discharge tank, evaporator, and expansion valve.

[0003] The condenser and high-pressure receiver are crucial components on the high-pressure side of a refrigeration system. The high-pressure receiver serves as a buffer for liquid storage and provides a stable liquid column to the throttling device; its operating status directly affects the stability and safety of the liquid supply. In existing technologies, the condenser and high-pressure receiver are generally monitored separately and in isolation, which can easily lead to errors caused by individual monitoring. Furthermore, the monitoring of the high-pressure receiver relies primarily on passive measurements and manual judgment, resulting in low efficiency and accuracy in anomaly detection.

[0004] Therefore, there is an urgent need to design a method and system for monitoring the operation of intelligent refrigeration equipment. Summary of the Invention

[0005] Therefore, it is necessary to provide an intelligent refrigeration equipment operation monitoring method and system that addresses the aforementioned technical problems by acquiring coordinated operation data of the condenser and high-pressure liquid storage tank to determine whether the operation is normal, avoiding misjudgments caused by relying on the operation data of a single device, triggering operation monitoring excitation based on steady-state operation data to ensure that monitoring excitation is only performed in a stable operating state to avoid monitoring affecting the normal operation of the equipment, and providing targeted excitation based on actual operation to obtain feedback data after excitation, and judging whether the high-pressure liquid storage tank is abnormal based on the excitation feedback data, thereby improving the flexibility and reliability of operation monitoring.

[0006] The technical solution of this invention is as follows: A method for monitoring the operation of an intelligent refrigeration device, the method comprising: Acquire coordinated operation data of the condenser and high-pressure liquid storage tank, and determine whether the operation is normal based on the coordinated operation data; If the determination is yes, extract the steady-state operation data of the high-pressure liquid storage tank based on the collaborative operation data; Based on the steady-state operation data, an operation monitoring stimulus is generated, and stimulus feedback data is obtained; Based on the incentive feedback data, it is determined whether the high-pressure liquid storage tank is abnormal. If it is, an abnormality reminder for the refrigeration equipment is generated. The collaborative operation data includes condenser outlet pressure, liquid storage tank top pressure, liquid storage tank top temperature, and liquid storage tank level. Acquire coordinated operation data of the condenser and high-pressure liquid storage tank, and determine whether the operation is normal based on the coordinated operation data, including: Calculate the pressure difference between the condenser outlet pressure and the pressure at the top of the liquid storage tank; Calculate the unit temperature change rate based on the temperature at the top of the storage tank, and also calculate the unit pressure change rate at the top of the storage tank and the unit liquid level change rate. The coordinated steady-state time period is selected based on the unit pressure change rate, the unit temperature change rate, the unit liquid level change rate, and the pressure difference. Calculate the tank top saturation temperature deviation and condenser outlet temperature deviation during the aforementioned coordinated steady-state time period; The operation is judged based on the deviation of the tank top saturation temperature and the deviation of the condenser outlet temperature.

[0007] Optionally, the rate of change of temperature per unit volume is calculated based on the temperature at the top of the storage tank, including: The saturation temperature at the top of the tank corresponding to the top pressure of the liquid storage tank is obtained by consulting the refrigerant property table. Based on the pressure at the top of the storage tank and the saturation temperature at the top of the tank, a constant bias correction is performed on the temperature at the top of the storage tank to generate a corrected temperature at the top of the tank. Calculate the unit temperature change rate of the corrected temperature at the top of the tank.

[0008] Optionally, determining whether the operation is normal based on the deviation of the tank top saturation temperature and the deviation of the condenser outlet temperature includes: Determine whether the deviation of the tank top saturation temperature is within the first error threshold range, and whether the deviation of the condenser outlet temperature is within the second error threshold range; If the judgment is yes, the operation is considered normal; if the judgment is no, the operation is considered abnormal.

[0009] Optionally, the operation monitoring stimulus includes a set limiting temperature and a controlled thermal pulse; Based on the steady-state operating data, an operating monitoring stimulus is generated, and stimulus feedback data is obtained, including: Extract the temperature variation range from the steady-state operating data, and set the limiting temperature based on the temperature variation range; A controlled thermal pulse is applied to the middle of the wall of the high-pressure liquid storage tank, and the maximum rise in the tank wall temperature is constrained not to exceed the limit temperature. Acquire excitation feedback data after applying a controlled thermal pulse.

[0010] Optionally, the excitation feedback data includes a pressure sequence at the top of the storage tank and a temperature sequence at the top of the storage tank; Determining whether the high-pressure liquid storage tank is abnormal based on the stimulus feedback data includes: An excitation following index is generated based on the pressure sequence and temperature sequence at the top of the storage tank. The pressure drop time is calculated based on the pressure sequence at the top of the storage tank and the preset pressure baseline at the top of the tank. The high-pressure liquid storage tank is judged to be abnormal based on the excitation follow-up index and the pressure drop time.

[0011] Optionally, an excitation following index is generated based on the pressure sequence and temperature sequence at the top of the storage tank, including: The measured following slope of the pressure at the top of the storage tank on the temperature at the top of the storage tank during the pulse segment is calculated based on the pressure sequence and temperature sequence at the top of the storage tank. To obtain the saturation following slope that the refrigerant should have when it is in two-phase saturated equilibrium; The measured following slope is divided by the saturated following slope to generate the excitation following degree index.

[0012] Optionally, the pressure drop time is calculated based on the pressure sequence at the top of the storage tank and a preset tank top pressure baseline, including: Before applying the controlled thermal pulse, the average value of the pressure at the top of the storage tank within a preset time window is obtained and set as the tank top pressure baseline; Determine the pressure peak value and the time of occurrence of the pressure peak value in the pressure sequence at the top of the storage tank; Starting from the moment the peak occurs, search backwards for the time point in the pressure sequence at the top of the storage tank that first and continuously decreases to a preset proportion of the pressure peak. Set the time difference between the searched time point and the moment the peak occurs as the pressure drop time.

[0013] Optionally, determining whether the high-pressure storage tank is abnormal based on the excitation follow-up index and the pressure drop time includes: Determine whether the incentive follow-up index is less than a preset index threshold or whether the pressure fall-off time is greater than a preset fall-off time; If the result is yes, then the high-pressure liquid storage tank is considered abnormal. If the result is negative, then the high-pressure liquid storage tank is considered to be normal.

[0014] Optionally, an operation monitoring system for intelligent refrigeration equipment is also provided, the system comprising: An abnormal operation judgment module is used to acquire the coordinated operation data of the condenser and the high-pressure liquid storage tank, and to determine whether the operation is normal based on the coordinated operation data; A steady-state operation judgment module is used to extract the steady-state operation data of the high-pressure liquid storage tank based on the cooperative operation data if the judgment is yes. The operation incentive generation module is used to generate operation monitoring incentives based on the steady-state operation data and obtain incentive feedback data; An anomaly alert generation module is used to determine whether the high-pressure liquid storage tank is abnormal based on the stimulus feedback data. If the determination is yes, an anomaly alert for the refrigeration equipment is generated. The coordinated operation data includes condenser outlet pressure, liquid tank top pressure, liquid tank top temperature, and liquid tank level. The operation anomaly judgment module is also used to: calculate the pressure difference between the condenser outlet pressure and the liquid tank top pressure; calculate the unit temperature change rate based on the liquid tank top temperature, and calculate the unit pressure change rate of the liquid tank top pressure and the unit liquid level change rate of the liquid tank level; filter out the coordinated steady-state time period based on the unit pressure change rate, the unit temperature change rate, the unit liquid level change rate, and the pressure difference; calculate the tank top saturation temperature deviation and the condenser outlet temperature deviation within the coordinated steady-state time period; and determine whether the operation is normal based on the tank top saturation temperature deviation and the condenser outlet temperature deviation.

[0015] Optionally, the operation anomaly judgment module is further configured to: look up the refrigerant property table to obtain the tank top saturation temperature corresponding to the tank top pressure; perform sensor constant bias correction on the tank top temperature based on the tank top pressure and the tank top saturation temperature to generate a tank top correction temperature; and calculate the unit temperature change rate of the tank top correction temperature.

[0016] Optionally, the operation anomaly judgment module is further configured to: determine whether the tank top saturation temperature deviation is within a first error threshold range, and whether the condenser outlet temperature deviation is within a second error threshold range; if the determination is yes, then the operation is judged to be normal; if the determination is no, then the operation is judged to be abnormal.

[0017] Optionally, the operation monitoring excitation includes setting a limiting temperature and a controlled thermal pulse; the operation excitation generation module is further configured to: extract the temperature change range from the steady-state operation data, and set a limiting temperature according to the temperature change range; apply a controlled thermal pulse to the middle of the tank wall of the high-pressure liquid storage tank, and constrain the maximum increase in tank wall temperature to not exceed the limiting temperature; and obtain excitation feedback data after applying the controlled thermal pulse.

[0018] Optionally, the excitation feedback data includes a pressure sequence at the top of the storage tank and a temperature sequence at the top of the storage tank; the anomaly alert generation module is further configured to: generate an excitation follow-up index based on the pressure sequence at the top of the storage tank and the temperature sequence at the top of the storage tank; calculate the pressure drop time based on the pressure sequence at the top of the storage tank and a preset tank top pressure baseline; and determine whether the high-pressure storage tank is abnormal based on the excitation follow-up index and the pressure drop time.

[0019] Optionally, the anomaly alert generation module is further configured to: calculate the measured following slope of the liquid tank top pressure to the liquid tank top temperature during the pulse segment based on the liquid tank top pressure sequence and liquid tank top temperature sequence; obtain the saturation following slope that the refrigerant should have when it is in two-phase saturated equilibrium; and divide the measured following slope by the saturation following slope to generate an excitation following degree index.

[0020] Optionally, the abnormality alert generation module is further configured to: obtain the average value of the pressure at the top of the storage tank within a preset time window before applying the controlled thermal pulse, and set it as the pressure baseline at the top of the tank; determine the pressure peak value and the time of occurrence of the peak value in the pressure sequence at the top of the storage tank; and, starting from the time of occurrence of the peak value, search backwards for a preset proportion of the time points in the pressure sequence at the top of the storage tank that first and continue to decrease to the pressure peak value, and set the time difference between the searched time point and the time of occurrence of the peak value as the pressure drop time.

[0021] Optionally, the abnormality alert generation module is further configured to: determine whether the excitation following degree index is less than a preset index threshold or whether the pressure drop time is greater than a preset drop time; if the determination is yes, then the high-pressure liquid storage tank is determined to be abnormal; if the determination is no, then the high-pressure liquid storage tank is determined to be normal.

[0022] Optionally, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the steps described in the above-described intelligent refrigeration device operation monitoring method.

[0023] Optionally, a computer-readable storage medium is also provided, on which a computer program is stored, which, when executed by a processor, implements the steps described in the above-described method for monitoring the operation of an intelligent refrigeration device.

[0024] The technical effects achieved by this invention are as follows: The aforementioned intelligent refrigeration equipment operation monitoring method and system determines whether the operation is normal by acquiring the coordinated operation data of the condenser and the high-pressure liquid storage tank. If the determination is normal, steady-state operation data of the high-pressure liquid storage tank is extracted based on the coordinated operation data. An operation monitoring stimulus is generated based on the steady-state operation data, and stimulus feedback data is obtained. The high-pressure liquid storage tank is then determined to be abnormal based on the stimulus feedback data; if the determination is abnormal, a refrigeration equipment abnormality alert is generated. This application determines whether the operation is normal by acquiring the coordinated operation data of the condenser and the high-pressure liquid storage tank, utilizing the coordinated operation of the condenser and the high-pressure liquid storage tank to determine operational abnormalities. This avoids misjudgments caused by relying on the operation data of a single device. Subsequent data processing is only performed when the coordinated operation data of both devices indicates normal operation. When normal operation is determined, steady-state data extraction is performed, specifically by extracting the steady-state operation data of the high-pressure liquid storage tank based on the coordinated operation data, generating an operation monitoring stimulus based on the steady-state operation data, and obtaining stimulus feedback data. By setting an operation monitoring stimulus triggered based on the steady-state operation data, stable operation is ensured. Monitoring and stimulation are only performed under stable conditions to avoid affecting the normal operation of the equipment. Compared with the interference and uncertainty caused by the operation stimulation under fluctuating operating conditions, the data obtained after operation monitoring stimulation under stable operating conditions can more accurately determine whether there is an anomaly. The passive monitoring in the prior art relies too much on the actual situation, while the operation monitoring stimulation of this application has more adjustable space, and can make targeted stimulation for the actual operation to obtain feedback data after the stimulation is applied. Based on the stimulation feedback data, it is determined whether the high-pressure liquid storage tank is abnormal. If it is determined to be abnormal, a refrigeration equipment abnormality reminder is generated, thereby improving the flexibility and reliability of operation monitoring. Attached Figure Description

[0025] Figure 1 This is a flowchart illustrating the operation monitoring method for an intelligent refrigeration device in one embodiment; Figure 2 This is a structural block diagram of an intelligent refrigeration equipment operation monitoring system in one embodiment. Detailed Implementation

[0026] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0027] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0028] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0029] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0030] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0031] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0032] In one embodiment, a terminal is provided, the terminal being used to: acquire coordinated operation data of the condenser and the high-pressure liquid storage tank, and determine whether the operation is normal based on the coordinated operation data; if the determination is normal, extract steady-state operation data of the high-pressure liquid storage tank based on the coordinated operation data; generate operation monitoring excitation based on the steady-state operation data, and acquire excitation feedback data; determine whether the high-pressure liquid storage tank is abnormal based on the excitation feedback data, and if the determination is normal, generate a refrigeration equipment abnormality alert.

[0033] The terminal may be, but is not limited to, various personal computers, laptops, smartphones, tablets, and portable wearable devices.

[0034] In one embodiment, such as Figure 1 As shown, a method for monitoring the operation of an intelligent refrigeration device is provided, the method comprising: Step S100: Obtain the coordinated operation data of the condenser and the high-pressure liquid storage tank, and determine whether the operation is normal based on the coordinated operation data; Step S200: If the determination is yes, extract the steady-state operation data of the high-pressure liquid storage tank based on the collaborative operation data; Step S300: Generate operation monitoring excitation based on the steady-state operation data, and obtain excitation feedback data; Step S400: Determine whether the high-pressure liquid storage tank is abnormal based on the excitation feedback data. If the determination is yes, generate an abnormality reminder for the refrigeration equipment.

[0035] In this application, the normality of operation is determined by acquiring the coordinated operation data of the condenser and the high-pressure liquid storage tank. The coordinated operation of the condenser and the high-pressure liquid storage tank is used to identify operational anomalies, avoiding misjudgments caused by relying on the operation data of a single device. Subsequent data processing is only performed when the coordinated operation data of both devices indicates normal operation. When normal operation is determined, steady-state data extraction is performed. Specifically, steady-state operation data of the high-pressure liquid storage tank is extracted based on the coordinated operation data, and an operation monitoring stimulus is generated based on the steady-state operation data. Stimulus feedback data is then acquired. By setting an operation monitoring stimulus triggered based on steady-state operation data, monitoring is ensured only when the operation is stable. The stimulation method avoids interference with the normal operation of the equipment due to monitoring. Compared with the interference and uncertainty caused by the stimulation under fluctuating operating conditions, the data obtained after the stimulation under steady-state operating data can more accurately determine whether there is an anomaly. When it is determined that there is no anomaly, the equipment can operate normally. The passive monitoring in the prior art relies too much on the actual situation, while the stimulation method of this application has more adjustable space. It can perform targeted stimulation for the actual operation to obtain feedback data after the stimulation is applied, and determine whether the high-pressure liquid storage tank is abnormal based on the stimulation feedback data. If it is determined to be abnormal, a refrigeration equipment anomaly reminder is generated, thereby improving the flexibility and reliability of operation monitoring.

[0036] In one embodiment, the collaborative operation data includes condenser outlet pressure, liquid tank top pressure, liquid tank top temperature, and liquid tank level; Step S100: Obtain the coordinated operation data of the condenser and the high-pressure liquid storage tank, and determine whether the operation is normal based on the coordinated operation data, including: Step S110: Calculate the pressure difference between the condenser outlet pressure and the pressure at the top of the liquid storage tank; Step S120: Calculate the unit temperature change rate based on the temperature at the top of the storage tank, and calculate the unit pressure change rate of the pressure at the top of the storage tank and the unit liquid level change rate of the storage tank. Step S130: Select the cooperative steady-state time period based on the unit pressure change rate, the unit temperature change rate, the unit liquid level change rate, and the pressure difference; Step S140: Calculate the tank top saturation temperature deviation and condenser outlet temperature deviation during the cooperative steady-state time period; Step S150: Determine whether the operation is normal based on the deviation of the tank top saturation temperature and the deviation of the condenser outlet temperature.

[0037] In this embodiment, the pressure difference is obtained by subtracting the pressure at the condenser outlet from the pressure at the top of the liquid storage tank. This pressure difference is used for subsequent screening of the coordinated steady-state time period. Next, the unit pressure change rate, the unit temperature change rate, and the unit liquid level change rate are calculated respectively.

[0038] pass Calculate the pressure at the top of the storage tank. unit pressure change rate Where t is the time index. (This is achieved through...) Calculate the liquid level in the storage tank unit liquid level change rate .

[0039] The coordinated steady-state time period represents the state when the condenser and high-pressure storage tank are operating relatively stably. Before selecting the coordinated steady-state time period, standard pressure change rate, standard temperature change rate, standard liquid level change rate, and standard pressure difference are preset. For example, the standard pressure change rate, standard temperature change rate, standard liquid level change rate, and standard pressure difference are 0.003 MPa / min, 0.2℃ / min, 1% / min, and 0.1 MPa, respectively. The % in 1% / min represents the liquid level range percentage.

[0040] When the following conditions are met simultaneously: the unit pressure change rate is less than or equal to the standard pressure change rate, the unit temperature change rate is less than or equal to the standard temperature change rate, the unit liquid level change rate is less than or equal to the standard liquid level change rate, and the pressure difference is less than or equal to the standard pressure difference, the corresponding time period is set as the cooperative steady-state time period.

[0041] For example, if, during the period from 10:41 to 10:52, the unit pressure change rate is less than or equal to the standard pressure change rate, the unit temperature change rate is less than or equal to the standard temperature change rate, the unit liquid level change rate is less than or equal to the standard liquid level change rate, and the pressure difference is less than or equal to the standard pressure difference, then the period from 10:41 to 10:52 is designated as the cooperative steady-state period.

[0042] Next, the deviation of the tank top saturation temperature and the deviation of the condenser outlet temperature are calculated during the coordinated steady-state time period; and the operation is judged to be normal based on the deviation of the tank top saturation temperature and the deviation of the condenser outlet temperature.

[0043] Therefore, in this embodiment, the judgment on whether the operation is normal is only made when the coordinated operation between the condenser and the high-pressure liquid storage tank is relatively stable. This setting can filter out the problem of large judgment errors caused by making judgments during start-up and shutdown, large valve position adjustment, or when the load has just changed.

[0044] In one embodiment, step S120, calculating the unit temperature change rate based on the temperature at the top of the storage tank, includes: Step S121: Find the tank top saturation temperature corresponding to the top pressure of the liquid storage tank by consulting the refrigerant property table; Step S122: Perform sensor constant bias correction on the temperature at the top of the storage tank based on the pressure at the top of the storage tank and the saturation temperature at the top of the tank to generate the corrected temperature at the top of the tank; Step S123: Calculate the unit temperature change rate of the corrected temperature at the top of the tank.

[0045] In this embodiment, constant bias calibration of the sensor is required to obtain accurate data. The refrigerant property table, also known as the refrigerant PT table or refrigerant property database, is preset. The table lookup process uses absolute pressure. If the field pressure is gauge pressure, it is converted to absolute pressure by adding it to the local atmospheric pressure before looking up the table.

[0046] First, look up the table to get the pressure at the top of the storage tank. The saturation temperature of the refrigerant at the top of the tank, and then through... Calculate long-term deviation ,in, Temperature at the top of the storage tank. Indicates the pressure at the top of the storage tank The saturation temperature of the refrigerant at the top of the tank. Next, the long-term deviations mentioned above are taken. The median is used to obtain the temperature bias. Finally, the temperature at the top of the storage tank was... Subtract the temperature bias Obtain the corrected temperature at the top of the tank Finally, through The unit temperature change rate that generates the corrected temperature at the top of the tank .

[0047] In one embodiment, the coordinated operation data further includes the condenser outlet temperature; in step S140, the calculation method for the tank top saturation temperature deviation and the condenser outlet temperature deviation during the coordinated steady-state time period is as follows: First, calculate the tank top saturation temperature deviation using the following formula. : ,in, To calibrate the temperature at the top of the tank, Indicates the pressure at the top of the storage tank The saturation temperature of the refrigerant at the top of the tank.

[0048] The tank top saturation temperature deviation represents the difference between the temperature at the top of the tank and the theoretical temperature. The top of the storage tank is a gas phase accumulation zone. If the operation is normal, there are no non-condensable gases, and the tank is indeed in two-phase equilibrium, then the top gas phase temperature should be consistent with the saturation temperature obtained from the absolute pressure at the top. Under normal circumstances, the measured temperature should be close to the saturation temperature. The measured temperature refers to the tank top calibration temperature, and the saturation temperature refers to the tank top saturation temperature. If the difference between the tank top calibration temperature and the tank top saturation temperature is too large, there may be non-condensable gases or abnormal measuring points, in which case the operation is considered abnormal.

[0049] Next, the condenser outlet temperature deviation is calculated using the following formula. : ,in, To choose the larger of a and b, The condenser outlet temperature, Indicates the pressure at the condenser outlet. The saturation temperature of the refrigerant.

[0050] in, and All of these were obtained by consulting the refrigerant property table.

[0051] Under healthy operating conditions, the condenser should output sufficiently subcooled pure liquid. If the outlet temperature is higher than the saturation temperature, it indicates that the condenser may be carrying vapor or has not completely condensed, resulting in an overheated outlet. When the condenser outlet is liquid, the condenser outlet temperature... It should be below the saturation temperature When the condenser outlet temperature deviates When the value is positive, there is a high probability that the outlet is overheated, which may indicate a malfunction.

[0052] In one embodiment, step S150: determining whether the operation is normal based on the tank top saturation temperature deviation and the condenser outlet temperature deviation includes: Step S151: Determine whether the deviation of the tank top saturation temperature is within the first error threshold range, and whether the deviation of the condenser outlet temperature is within the second error threshold range; Step S152: If the judgment is yes, the operation is considered normal; if the judgment is no, the operation is considered abnormal.

[0053] In this embodiment, both the first error threshold range and the second error threshold range are preset. For example, the second error threshold range is greater than or equal to 1°C. Specifically, theoretically, it should... When the value is positive, it is immediately determined to be abnormal. However, in practice, due to uncertainties caused by measurement errors during the data acquisition phase, the condenser outlet temperature cannot be 100% accurate, including... Although it is pre-stored, it cannot be guaranteed to be 100% accurate. Therefore, when When the value is a small positive value of 0.3℃-0.5℃, it is likely just due to measurement and registration errors, and not a real malfunction or abnormality of the condenser.

[0054] Therefore, to avoid misjudgment, judgment ranges of 0℃-0.5℃ and 0.5℃-1℃ are set. When the value falls within the range of 0℃-0.5℃, it is not directly judged as abnormal, but rather recorded and marked. Simultaneously, a retest is scheduled, and a comprehensive judgment is made based on the deviation of the tank top saturation temperature. When When the value falls within the range of 0.5℃-1℃, record and mark it, and simultaneously set up a retest. If multiple exceedances occur during the retest, it is determined that the abnormality is caused by excessive outlet heat. When the value is greater than 1℃, the temperature difference is large, so it can be directly judged as abnormal.

[0055] Similarly, the first error threshold range is greater than 2℃. That is, when the difference between the corrected temperature at the top of the tank and the saturation temperature at the top of the tank is greater than 2℃, it can be determined as normal. If it exceeds this range, it is determined as abnormal.

[0056] It should be noted that the judgment ranges of 0℃-0.5℃, 0.5℃-1℃, greater than 1℃, and greater than 2℃ are merely examples for ease of understanding and are not intended to be limiting. Those skilled in the art should set thresholds that conform to actual operating conditions based on actual sensor errors and operating conditions.

[0057] If the deviation of the tank top saturation temperature is not within the first error threshold range, or the deviation of the condenser outlet temperature is not within the second error threshold range, then an operational abnormality is determined. When an operational abnormality occurs, a maintenance command is generated, which instructs maintenance personnel to perform fault repair on the refrigeration system.

[0058] In one embodiment, in step S200, when extracting the steady-state operation data of the high-pressure liquid storage tank based on the collaborative operation data, data related to the high-pressure liquid storage tank is extracted from the collaborative operation data based on the collaborative steady-state time period selected in step S130, which is the steady-state operation data.

[0059] In one embodiment, the operation monitoring stimulus includes a set limiting temperature and a controlled thermal pulse; Step S300: Generate operation monitoring stimulus based on the steady-state operation data and obtain stimulus feedback data, including: Step S310: Extract the temperature change range from the steady-state operating data, and set a limiting temperature based on the temperature change range; Step S320: Apply a controlled thermal pulse to the middle of the tank wall of the high-pressure liquid storage tank, and constrain the maximum rise in tank wall temperature to not exceed the limit temperature; Step S330: Obtain excitation feedback data after applying the controlled thermal pulse.

[0060] In this embodiment, the steady-state operating data includes the temperature data of the high-pressure liquid storage tank during use. Therefore, the temperature change range can be extracted from the steady-state operating data. When setting the limiting temperature, the temperature change range of the current operating state and the historical temperature range need to be considered. First, based on a preset tank temperature sensor, the temperature change range of the high-pressure liquid storage tank is detected within the cooperative steady-state time period. Then, the historical temperature range of the tank during its normal operating state in previous periods is obtained. Generally, the limiting temperature should be within the temperature change range or the historical temperature range. This setting ensures that the temperature change caused by the current excitation test has occurred in the previous normal operating state of the high-pressure liquid storage tank, thereby avoiding the excitation test affecting the normal operation of the high-pressure liquid storage tank.

[0061] The limiting temperature is generally set as multiple candidate temperatures. After obtaining the temperature change range, the median of the temperature change range is taken, and the candidate temperature with the smallest difference from the median is selected as the current limiting temperature. This ensures that the temperature change brought about by the current excitation test is as close as possible to the current working state, so as to minimize the impact of the excitation test on the high-pressure liquid storage tank.

[0062] In step S320, a controlled thermal pulse lasting 1 to 3 seconds is applied to the middle of the wall of the high-pressure liquid storage tank so that the maximum temperature rise of the tank wall does not exceed a preset limit temperature. For example, the limit temperature is 3°C.

[0063] In this step, a controlled thermal pulse is applied using a flexible thin-film heating element with a built-in thermistor. This flexible thin-film heating element has PWM control functionality. The flexible thin-film heating element is typically placed in the region of the high-pressure liquid storage tank near the height where the liquid is constantly wetted, such as on the outer wall of the middle section of the tank, to enhance liquid phase sensitivity.

[0064] The controlled heat pulse is typically a small heat pulse lasting 1 to 3 seconds. However, for particularly thick tanks, it can be extended to five to eight seconds if necessary. While applying the controlled heat pulse, an upper limit constraint on temperature rise and a safety termination condition are set to limit the temperature rise of the outer wall to no more than three degrees Celsius. Once the pressure rise rate exceeds the set threshold or the outer wall temperature rise exceeds three degrees Celsius, heating is immediately terminated and the test is recorded as invalid.

[0065] Specifically, the duration of the controlled thermal pulse is between 1 and 3 seconds, and the specific duration can be set according to the actual wall thickness of the high-pressure liquid storage tank. For example, in this embodiment, the high-pressure liquid storage tank has a typical carbon steel wall with an actual thickness of 4 mm. Generally, the thickness of a high-pressure liquid storage tank is 3-6 mm. Metals diffuse heat relatively quickly, and a small thermal pulse of 1 to 3 seconds is sufficient to cause a measurable change in the inner wall temperature of the high-pressure liquid storage tank.

[0066] For example, the thermal diffusivity of steel for The pulse duration is set to 2 seconds, and the thermal penetration depth is [not specified]. Approximation of a semi-infinite body After substituting the values, the thermal penetration depth can be calculated. The value is approximately 4.9 mm. That is, a 2-second thermal pulse can penetrate 4.9 mm. Therefore, based on the actual tank wall thickness, a pulse duration of 2-3 seconds can be optimally set to ensure the thermal pulse can act on the interior of the high-pressure storage tank. It should be noted that this estimate is an exemplary evaluation on an order of magnitude basis; in practice, precise calculations and settings of the thermal pulse should be performed based on wall thickness, insulation, and boundary heat transfer.

[0067] In step S330, the excitation feedback data is the pressure sequence and temperature sequence at the top of the storage tank obtained by synchronous acquisition at a sampling frequency of not less than 50 Hz. The data acquisition ends when the pressure and temperature basically drop back to the level before the pulse.

[0068] When collecting the pressure sequence at the top of the storage tank, a strain gauge pressure transmitter must be used and installed at the gas phase pressure tap at the top of the high-pressure storage tank. The temperature sequence at the top of the storage tank is obtained by a temperature detection sensor pre-installed in the high-pressure storage tank. The temperature detection sensor includes a thin-wire thermocouple, preferably installed in the gas phase flow field of the inner top space of the high-pressure storage tank.

[0069] In one embodiment, the excitation feedback data includes a pressure sequence at the top of the storage tank and a temperature sequence at the top of the storage tank; Step S400: Determine whether the high-pressure liquid storage tank is abnormal based on the excitation feedback data, including: Step S410: Generate an excitation following index based on the pressure sequence and temperature sequence at the top of the storage tank; Step S420: Calculate the pressure drop time based on the pressure sequence at the top of the storage tank and the preset pressure baseline at the top of the tank; Step S430: Determine whether the high-pressure liquid storage tank is abnormal based on the excitation follow-up index and the pressure drop time.

[0070] In this embodiment, in order to more accurately determine operational anomalies, a dual judgment threshold is set. The first threshold is to generate an excitation follow-up index based on the pressure sequence and temperature sequence at the top of the storage tank. The second threshold is to calculate the pressure drop time based on the pressure sequence at the top of the storage tank and a preset tank top pressure baseline. Finally, the excitation follow-up index and the pressure drop time are used to determine whether the high-pressure storage tank is abnormal.

[0071] In one embodiment, step S410: generating an excitation following index based on the pressure sequence and temperature sequence at the top of the storage tank includes: Step S411: Calculate the measured following slope of the top pressure of the storage tank to the top temperature of the storage tank during the pulse segment based on the pressure sequence and temperature sequence at the top of the storage tank. Step S412: Obtain the saturation following slope that the refrigerant should have when it is in two-phase saturated equilibrium; Step S413: Divide the measured following slope by the saturated following slope to generate the excitation following degree index.

[0072] In this embodiment, the measured following slope refers to the instantaneous slope of pressure versus temperature actually measured during the controlled thermal pulse. It is obtained by performing a least-squares linear fit on the pairs of points (Ttp(t), Ptp(t)) within the pulse segment. Specifically, with the temperature sequence Ttp(t) at the top of the storage tank as the independent variable and the pressure sequence Ptp(t) at the top of the storage tank as the dependent variable, a straight line is fitted using the least-squares method, and its slope is defined as the measured following slope. .

[0073] The saturation following slope The calculation is as follows: Taking the average pressure and temperature before the pulse as the representative point of the operating condition, the pressure-to-temperature sensitivity under two-phase saturated equilibrium conditions is found in the refrigerant's PT table near the representative point. This sensitivity is the saturation following slope. In this embodiment, the pressure-to-temperature slope of the two-phase saturation curve is pre-stored in the PT property library, so the saturation following slope can be obtained by looking up the table.

[0074] Therefore, by dividing the measured following slope, which represents the pressure-temperature sensitivity obtained during a controlled thermal pulse, by the pressure-temperature sensitivity under two-phase saturated equilibrium conditions, a dimensionless excitation following index is generated. This index is used to quantify the degree of fit to the saturated manifold during the application of the thermal pulse, thus avoiding the problem of direct numerical incomparability caused by differences in media or operating conditions.

[0075] Existing technologies mostly employ static methods to determine operational anomalies, such as supercooling, superheating, observation through a sight glass, or artificial venting tests. These methods suffer from large errors. In contrast, this embodiment adopts a completely opposite approach, applying an active stimulus to monitor operations and using least squares regression to obtain the measured following slope. This method is more noise-resistant than the time-differential method, more sensitive to anomalies such as slight mixing of non-condensable gases and an increase in the proportion of gas phase, and has higher accuracy.

[0076] In one embodiment, step S420: calculating the pressure drop time based on the pressure sequence at the top of the storage tank and a preset tank top pressure baseline includes: Step S421: Before applying the controlled thermal pulse, obtain the average value of the pressure at the top of the storage tank within a preset time window and set it as the baseline of the tank top pressure; Step S422: Determine the pressure peak value and the time of occurrence of the pressure peak value in the pressure sequence at the top of the storage tank; Step S423: Starting from the moment the peak occurs, search backwards for the time point in the pressure sequence at the top of the storage tank that first and continuously drops to a preset proportion of the pressure peak, and set the time difference between the searched time point and the moment the peak occurs as the pressure drop time.

[0077] In this embodiment, the preset time window is first set to 3 to 5 seconds. That is, the average pressure at the top of the storage tank is obtained over 3 to 5 seconds and set as the baseline pressure at the top of the tank.

[0078] Then, the peak pressure and the time of peak occurrence of the pressure sequence at the top of the storage tank are determined. Starting from the time of peak occurrence, a time point that meets the conditions is found. Specifically, the time point in the pressure sequence at the top of the storage tank where the pressure first and continuously decreases to a preset percentage of the peak pressure is found. The preset percentage is 10% of the peak pressure. Starting from the time of the peak pressure, the time point where the pressure increment first does not exceed the preset percentage of the peak pressure is found, and where the pressure increment remains not higher than the preset percentage for 0.5 seconds thereafter, is recorded as the time point when the pressure drop is achieved.

[0079] Therefore, after a short, controlled thermal pulse, the internal pressure of the high-pressure storage tank will first rise to the aforementioned pressure peak and then gradually decrease. A healthy two-phase region will rapidly absorb the disturbances caused by the thermal pulse through localized condensation / vaporization, and the pressure will quickly return to normal. However, the presence of non-condensable gases, excessively high gas volume fractions, or cavities will affect the pressure drop, making it slower. Furthermore, if the liquid path is restricted, the filter is clogged, or the valve position is improper, obstructing the path to restore the original state, it will also lead to a longer pressure drop time. Therefore, the pressure drop time is set as an indicator for judging whether there is an operational abnormality.

[0080] Therefore, when the pressure drop time is greater than the preset drop time, the high-pressure liquid storage tank is judged to be abnormal.

[0081] In one embodiment, step S430: determining whether the high-pressure storage tank is abnormal based on the excitation follow-up index and the pressure drop time includes: Step S431: Determine whether the incentive following index is less than a preset index threshold or whether the pressure fall-off time is greater than a preset fall-off time; Step S432: If the determination is yes, then the high-pressure liquid storage tank is determined to be abnormal; Step S433: If the result is negative, then the high-pressure liquid storage tank is considered to be normal.

[0082] In this embodiment, when the value of the excitation follow-up index is close to 1, it indicates that the current operating condition is consistent with the health status; when the value of the excitation follow-up index is significantly less than 1, it indicates that the proportion of non-condensable gas or gas phase is too high; when the value of the follow-up index is significantly greater than 1, a temperature measurement point lag occurs, reminding management personnel to check and verify the sensor. Therefore, when it is determined whether the excitation follow-up index is less than a preset threshold, the high-pressure liquid storage tank is judged to be abnormal.

[0083] For example, the preset index threshold is pre-set to 0.85 by those skilled in the art. The preset fallback time is set to 60 seconds.

[0084] In one embodiment, such as Figure 2As shown, an intelligent refrigeration equipment operation monitoring system is also provided, the system comprising: An abnormal operation judgment module is used to acquire the coordinated operation data of the condenser and the high-pressure liquid storage tank, and to determine whether the operation is normal based on the coordinated operation data; A steady-state operation judgment module is used to extract the steady-state operation data of the high-pressure liquid storage tank based on the cooperative operation data if the judgment is yes. The operation incentive generation module is used to generate operation monitoring incentives based on the steady-state operation data and obtain incentive feedback data; The anomaly alert generation module is used to determine whether the high-pressure liquid storage tank is abnormal based on the stimulus feedback data. If the determination is yes, an anomaly alert for the refrigeration equipment is generated.

[0085] In one embodiment, the coordinated operation data includes condenser outlet pressure, liquid tank top pressure, liquid tank top temperature, and liquid tank level. The operation anomaly judgment module is further configured to: calculate the pressure difference between the condenser outlet pressure and the liquid tank top pressure; calculate the unit temperature change rate based on the liquid tank top temperature, and calculate the unit pressure change rate of the liquid tank top pressure and the unit liquid level change rate of the liquid tank level; filter out a coordinated steady-state time period based on the unit pressure change rate, the unit temperature change rate, the unit liquid level change rate, and the pressure difference; calculate the tank top saturation temperature deviation and the condenser outlet temperature deviation within the coordinated steady-state time period; and determine whether the operation is normal based on the tank top saturation temperature deviation and the condenser outlet temperature deviation.

[0086] In one embodiment, the operation anomaly judgment module is further configured to: look up the refrigerant property table to obtain the tank top saturation temperature corresponding to the tank top pressure; perform sensor constant bias correction on the tank top temperature based on the tank top pressure and the tank top saturation temperature to generate a tank top correction temperature; and calculate the unit temperature change rate of the tank top correction temperature.

[0087] In one embodiment, the operation anomaly judgment module is further configured to: determine whether the tank top saturation temperature deviation is within a first error threshold range, and whether the condenser outlet temperature deviation is within a second error threshold range; if the determination is yes, then the operation is judged to be normal; if the determination is no, then the operation is judged to be abnormal.

[0088] In one embodiment, the operation monitoring stimulus includes setting a limiting temperature and a controlled thermal pulse; the operation stimulus generation module is further configured to: extract the temperature change range from the steady-state operation data, and set a limiting temperature according to the temperature change range; apply a controlled thermal pulse to the middle of the tank wall of the high-pressure liquid storage tank, and constrain the maximum increase in tank wall temperature to not exceed the limiting temperature; and obtain stimulus feedback data after applying the controlled thermal pulse.

[0089] In one embodiment, the incentive feedback data includes a pressure sequence at the top of the storage tank and a temperature sequence at the top of the storage tank; the anomaly alert generation module is further configured to: generate an incentive follow-up index based on the pressure sequence at the top of the storage tank and the temperature sequence at the top of the storage tank; calculate the pressure drop time based on the pressure sequence at the top of the storage tank and a preset tank top pressure baseline; and determine whether the high-pressure storage tank is abnormal based on the incentive follow-up index and the pressure drop time.

[0090] In one embodiment, the abnormality alert generation module is further configured to: calculate the measured following slope of the liquid tank top pressure to the liquid tank top temperature during the pulse segment based on the liquid tank top pressure sequence and the liquid tank top temperature sequence; obtain the saturation following slope that the refrigerant should have when it is in two-phase saturated equilibrium; and divide the measured following slope by the saturation following slope to generate an excitation following degree index.

[0091] In one embodiment, the abnormality alert generation module is further configured to: obtain the average value of the pressure at the top of the storage tank within a preset time window before applying the controlled thermal pulse, and set it as the pressure baseline at the top of the tank; determine the pressure peak value and the time of occurrence of the peak value in the pressure sequence at the top of the storage tank; and, starting from the time of occurrence of the peak value, search backwards for a preset proportion of the time points in the pressure sequence at the top of the storage tank that first and continue to decrease to the pressure peak value, and set the time difference between the searched time point and the time of occurrence of the peak value as the pressure drop time.

[0092] In one embodiment, the abnormality alert generation module is further configured to: determine whether the excitation follow-up index is less than a preset index threshold or whether the pressure drop time is greater than a preset drop time; if the determination is yes, then determine that the high-pressure liquid storage tank is abnormal; if the determination is no, then determine that the high-pressure liquid storage tank is normal.

[0093] It should be noted that the information interaction and execution process between the above modules are based on the same concept as the method embodiments of this application. For details on their specific functions and technical effects, please refer to the method embodiments section, which will not be repeated here.

[0094] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0095] This application also provides a network device, which includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the processor executes the computer program to implement the steps in any of the above method embodiments.

[0096] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps described in the various method embodiments above.

[0097] This application provides a computer program product that, when run on a mobile terminal, enables the mobile terminal to implement the steps described in the above-described method embodiments.

[0098] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the above-described embodiments of this application can be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include at least: any entity or device capable of carrying computer program code to a photographic device / terminal device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium. Examples include USB flash drives, portable hard drives, magnetic disks, or optical disks. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electrical carrier signals or telecommunication signals.

[0099] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0100] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0101] In the embodiments provided in this application, it should be understood that the disclosed apparatus / network devices and methods can be implemented in other ways. For example, the apparatus / network device embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0102] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0103] The above-described embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

[0104] One embodiment of this application also provides a computer device, which includes: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the processor executes the computer program to implement the steps in any of the above-described methods.

[0105] The computer device may include, but is not limited to, a processor and memory. Those skilled in the art will understand that the above description is an example of a computer device and does not constitute a limitation on the computer device. It may include more or fewer components than described above, or a combination of certain components, or different components, such as input / output devices, network access devices, etc.

[0106] The processor can be a Central Processing Unit (CPU), but it can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor.

[0107] In some embodiments, the memory may be an internal storage unit of the computer device, such as a hard drive or RAM. In other embodiments, the memory may be an external storage device of the computer device, such as a plug-in hard drive, Smart Media Card (SMC), Secure Digital (SD) card, or Flash Card. Furthermore, the memory may include both internal and external storage units of the computer device. The memory is used to store the operating system, applications, bootloader, data, and other programs, such as the program code of the computer program. The memory can also be used to temporarily store data that has been output or will be output.

[0108] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0109] The embodiments described above are merely illustrative of several implementation methods of this application, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of this application, and these all fall within the protection scope of this application. Therefore, the protection scope of this application should be determined by the appended claims.

Claims

1. A method for monitoring the operation of an intelligent refrigeration device, characterized in that, The method includes: Acquire coordinated operation data of the condenser and high-pressure liquid storage tank, and determine whether the operation is normal based on the coordinated operation data; If the determination is yes, extract the steady-state operation data of the high-pressure liquid storage tank based on the collaborative operation data; Based on the steady-state operation data, an operation monitoring stimulus is generated, and stimulus feedback data is obtained; Based on the incentive feedback data, it is determined whether the high-pressure liquid storage tank is abnormal. If it is, an abnormality reminder for the refrigeration equipment is generated. The collaborative operation data includes condenser outlet pressure, liquid storage tank top pressure, liquid storage tank top temperature, and liquid storage tank level. Acquire coordinated operation data of the condenser and high-pressure liquid storage tank, and determine whether the operation is normal based on the coordinated operation data, including: Calculate the pressure difference between the condenser outlet pressure and the pressure at the top of the liquid storage tank; Calculate the unit temperature change rate based on the temperature at the top of the storage tank, and also calculate the unit pressure change rate at the top of the storage tank and the unit liquid level change rate. The coordinated steady-state time period is selected based on the unit pressure change rate, the unit temperature change rate, the unit liquid level change rate, and the pressure difference. Calculate the tank top saturation temperature deviation and condenser outlet temperature deviation during the aforementioned coordinated steady-state time period; The operation is judged based on the deviation of the tank top saturation temperature and the deviation of the condenser outlet temperature.

2. The method for monitoring the operation of intelligent refrigeration equipment according to claim 1, characterized in that, Calculate the unit temperature change rate based on the temperature at the top of the storage tank, including: The saturation temperature at the top of the tank corresponding to the top pressure of the liquid storage tank is obtained by consulting the refrigerant property table. Based on the pressure at the top of the storage tank and the saturation temperature at the top of the tank, a constant bias correction is performed on the temperature at the top of the storage tank to generate a corrected temperature at the top of the tank. Calculate the unit temperature change rate of the corrected temperature at the top of the tank.

3. The method for monitoring the operation of intelligent refrigeration equipment according to claim 1, characterized in that, Determining whether the operation is normal based on the deviation of the tank top saturation temperature and the deviation of the condenser outlet temperature includes: Determine whether the deviation of the tank top saturation temperature is within the first error threshold range, and whether the deviation of the condenser outlet temperature is within the second error threshold range; If the judgment is yes, the operation is considered normal; if the judgment is no, the operation is considered abnormal.

4. The method for monitoring the operation of intelligent refrigeration equipment according to claim 1, characterized in that, The operational monitoring stimulus includes a set limiting temperature and a controlled thermal pulse; Based on the steady-state operating data, an operating monitoring stimulus is generated, and stimulus feedback data is obtained, including: Extract the temperature variation range from the steady-state operating data, and set the limiting temperature based on the temperature variation range; A controlled thermal pulse is applied to the middle of the wall of the high-pressure liquid storage tank, and the maximum rise in the tank wall temperature is constrained not to exceed the limit temperature. Acquire excitation feedback data after applying a controlled thermal pulse.

5. The method for monitoring the operation of intelligent refrigeration equipment according to claim 1, characterized in that, The stimulus feedback data includes the pressure sequence at the top of the storage tank and the temperature sequence at the top of the storage tank. Determining whether the high-pressure liquid storage tank is abnormal based on the stimulus feedback data includes: An excitation following index is generated based on the pressure sequence and temperature sequence at the top of the storage tank. The pressure drop time is calculated based on the pressure sequence at the top of the storage tank and the preset pressure baseline at the top of the tank. The high-pressure liquid storage tank is judged to be abnormal based on the excitation follow-up index and the pressure drop time.

6. The method for monitoring the operation of intelligent refrigeration equipment according to claim 5, characterized in that, An excitation following index is generated based on the pressure sequence and temperature sequence at the top of the storage tank, including: The measured following slope of the pressure at the top of the storage tank on the temperature at the top of the storage tank during the pulse segment is calculated based on the pressure sequence and temperature sequence at the top of the storage tank. To obtain the saturation following slope that the refrigerant should have when it is in two-phase saturated equilibrium; The measured following slope is divided by the saturated following slope to generate the excitation following degree index.

7. The method for monitoring the operation of intelligent refrigeration equipment according to claim 5, characterized in that, The pressure drop time is calculated based on the pressure sequence at the top of the storage tank and a preset pressure baseline at the top of the tank, including: Before applying the controlled thermal pulse, the average value of the pressure at the top of the storage tank within a preset time window is obtained and set as the tank top pressure baseline; Determine the pressure peak value and the time of occurrence of the pressure peak value in the pressure sequence at the top of the storage tank; Starting from the moment the peak occurs, search backwards for the time point in the pressure sequence at the top of the storage tank that first and continuously decreases to a preset proportion of the pressure peak. Set the time difference between the searched time point and the moment the peak occurs as the pressure drop time.

8. The method for monitoring the operation of intelligent refrigeration equipment according to claim 5, characterized in that, Determining whether the high-pressure liquid storage tank is abnormal based on the excitation follow-up index and the pressure drop time includes: Determine whether the incentive follow-up index is less than a preset index threshold or whether the pressure fall-off time is greater than a preset fall-off time; If the result is yes, then the high-pressure liquid storage tank is considered abnormal. If the result is negative, then the high-pressure liquid storage tank is considered to be normal.

9. A monitoring system for the operation of an intelligent refrigeration device, characterized in that, The system includes: An abnormal operation judgment module is used to acquire the coordinated operation data of the condenser and the high-pressure liquid storage tank, and to determine whether the operation is normal based on the coordinated operation data; A steady-state operation judgment module is used to extract the steady-state operation data of the high-pressure liquid storage tank based on the cooperative operation data if the judgment is yes. The operation incentive generation module is used to generate operation monitoring incentives based on the steady-state operation data and obtain incentive feedback data; An anomaly alert generation module is used to determine whether the high-pressure liquid storage tank is abnormal based on the stimulus feedback data. If the determination is yes, an anomaly alert for the refrigeration equipment is generated. The coordinated operation data includes condenser outlet pressure, liquid tank top pressure, liquid tank top temperature, and liquid tank level. The operation anomaly judgment module is also used to: calculate the pressure difference between the condenser outlet pressure and the liquid tank top pressure; calculate the unit temperature change rate based on the liquid tank top temperature, and calculate the unit pressure change rate of the liquid tank top pressure and the unit liquid level change rate of the liquid tank level; filter out the coordinated steady-state time period based on the unit pressure change rate, the unit temperature change rate, the unit liquid level change rate, and the pressure difference; calculate the tank top saturation temperature deviation and the condenser outlet temperature deviation within the coordinated steady-state time period; and determine whether the operation is normal based on the tank top saturation temperature deviation and the condenser outlet temperature deviation.

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