Method and system for monitoring operation of intelligent refrigeration device

Abstract

The application relates to the technical field of refrigeration system monitoring, in particular to an operation monitoring method and system of an intelligent refrigeration device, the method comprising the following steps: obtaining cooperative operation data of a condenser and a high-pressure liquid storage tank, and judging whether the operation is normal according to the cooperative operation data; if the judgment is yes, extracting steady-state operation data of the high-pressure liquid storage tank according to the cooperative operation data; generating an operation monitoring excitation according to the steady-state operation data, and obtaining excitation feedback data; judging whether the high-pressure liquid storage tank is abnormal according to the excitation feedback data; if the judgment is yes, generating a refrigeration device abnormality prompt. According to the application, whether the high-pressure liquid storage tank is abnormal is judged according to the excitation feedback data, and if the judgment is yes, a refrigeration device abnormality prompt is generated, so that the flexibility and reliability of operation monitoring are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of refrigeration system monitoring, in particular to a running monitoring method and system of intelligent refrigeration equipment. BACKGROUND

[0002] A refrigeration system is a device that transfers heat from a lower temperature object or space to a higher temperature environment by consuming external energy such as electrical energy, thermal energy or mechanical energy. The core structure thereof includes a compressor, a condenser, a high-pressure liquid storage tank, an evaporator, an expansion valve and the like.

[0003] The condenser and the high-pressure liquid storage tank are important components of the high-pressure side of the refrigeration system, and the high-pressure liquid storage tank bears the functions of liquid buffering and providing a stable liquid column to the throttling device, and its running state directly affects the stability and safety of liquid supply. In the prior art, the condenser and the high-pressure liquid storage tank are generally monitored separately, which is prone to errors caused by separate monitoring. The running monitoring of the high-pressure liquid storage tank mainly relies on passive measurement and manual experience, which is prone to problems of low abnormal monitoring efficiency and low accuracy.

[0004] Therefore, it is urgent to design a running monitoring method and system of intelligent refrigeration equipment. SUMMARY

[0005] Therefore, it is urgent to design a running monitoring method and system of intelligent refrigeration equipment.

[0006] The technical scheme of the present application is as follows:

[0007] A running monitoring method of intelligent refrigeration equipment, the method comprising:

[0008] obtaining cooperative running data of a condenser and a high-pressure liquid storage tank, and determining whether the running is normal according to the cooperative running data;

[0009] if the determination is yes, extracting steady-state running data of the high-pressure liquid storage tank according to the cooperative running data;

[0010] generating a running monitoring incentive according to the steady-state running data, and obtaining incentive feedback data;

[0011] determining whether the high-pressure liquid storage tank is abnormal according to the excitation feedback data, and generating a refrigeration equipment abnormality prompt if it is determined that the high-pressure liquid storage tank is abnormal;

[0012] The cooperative operation data includes condenser outlet pressure, storage tank top pressure, storage tank top temperature, and storage tank liquid level.

[0013] Cooperative operation data of the condenser and the high-pressure liquid storage tank are obtained, and it is determined whether operation is normal according to the cooperative operation data, including:

[0014] A pressure difference value of the condenser outlet pressure and the storage tank top pressure is calculated.

[0015] A unit temperature change rate is calculated according to the storage tank top temperature, and a unit pressure change rate of the storage tank top pressure and a unit liquid level change rate of the storage tank liquid level are calculated.

[0016] A cooperative steady-state time period is screened out according to the unit pressure change rate, the unit temperature change rate, the unit liquid level change rate, and the pressure difference value.

[0017] A tank top saturation temperature deviation and a condenser outlet temperature deviation in the cooperative steady-state time period are calculated.

[0018] It is determined whether operation is normal according to the tank top saturation temperature deviation and the condenser outlet temperature deviation.

[0019] Optionally, the unit temperature change rate is calculated according to the storage tank top temperature, including:

[0020] A tank top saturation temperature corresponding to the storage tank top pressure is obtained by searching a refrigerant property table.

[0021] A tank top correction temperature is generated by performing sensor constant bias correction on the storage tank top temperature according to the storage tank top pressure and the tank top saturation temperature.

[0022] A unit temperature change rate of the tank top correction temperature is calculated.

[0023] Optionally, it is determined whether operation is normal according to the tank top saturation temperature deviation and the condenser outlet temperature deviation, including:

[0024] It is determined 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.

[0025] If it is determined that operation is normal, it is determined that operation is abnormal if it is determined that operation is abnormal.

[0026] Optionally, the operation monitoring excitation includes a set limit temperature and a controlled heat pulse.

[0027] The steady-state operation data are used to generate an operation monitoring incentive, and incentive feedback data are obtained, including:

[0028] A temperature variation range is extracted from the steady-state operation data, and a limiting temperature is set according to the temperature variation range;

[0029] A controlled thermal pulse is applied to the middle part of the tank wall of the high-pressure liquid storage tank, and the maximum temperature rise of the tank wall is limited to not more than the limiting temperature;

[0030] The incentive feedback data after the application of the controlled thermal pulse are obtained.

[0031] Optionally, the incentive feedback data include a sequence of the top pressure of the liquid storage tank and a sequence of the top temperature of the liquid storage tank;

[0032] Whether the high-pressure liquid storage tank is abnormal is determined according to the incentive feedback data, including:

[0033] An incentive following degree index is generated according to the sequence of the top pressure of the liquid storage tank and the sequence of the top temperature of the liquid storage tank;

[0034] A pressure fall-back time is calculated according to the sequence of the top pressure of the liquid storage tank and a preset tank top pressure baseline;

[0035] Whether the high-pressure liquid storage tank is abnormal is determined according to the incentive following degree index and the pressure fall-back time.

[0036] Optionally, the incentive following degree index is generated according to the sequence of the top pressure of the liquid storage tank and the sequence of the top temperature of the liquid storage tank, including:

[0037] An actual measured following slope of the top pressure of the liquid storage tank to the top temperature of the liquid storage tank in a pulse segment is calculated according to the sequence of the top pressure of the liquid storage tank and the sequence of the top temperature of the liquid storage tank;

[0038] A saturation following slope that the refrigerant should have when in a two-phase saturation balance is obtained;

[0039] The actual measured following slope is divided by the saturation following slope to generate the incentive following degree index.

[0040] Optionally, the pressure fall-back time is calculated according to the sequence of the top pressure of the liquid storage tank and a preset tank top pressure baseline, including:

[0041] Before the application of the controlled thermal pulse, an average value of the top pressure of the liquid storage tank in a preset time window is obtained and set as a tank top pressure baseline;

[0042] A pressure peak value of the sequence of the top pressure of the liquid storage tank and a time when the peak value occurs are determined;

[0043] The time point of the first and continuous decrease to the preset proportion of the pressure peak in the liquid tank top pressure sequence is searched back from the peak occurrence time, and the time difference between the searched time point and the peak occurrence time is set as the pressure falling time.

[0044] Optionally, judging whether the high-pressure liquid tank is abnormal according to the excitation following degree index and the pressure falling time comprises:

[0045] judging whether the excitation following degree index is less than a preset index threshold or the pressure falling time is greater than a preset falling time;

[0046] if yes, judging that the high-pressure liquid tank is abnormal;

[0047] if no, judging that the high-pressure liquid tank is normal.

[0048] Optionally, the system further comprises a running abnormality judgment module for acquiring the cooperative running data of the condenser and the high-pressure liquid tank, and judging whether the running is normal according to the cooperative running data.

[0049] a running abnormality judgment module for acquiring the cooperative running data of the condenser and the high-pressure liquid tank, and judging whether the running is normal according to the cooperative running data.

[0050] a steady-state running judgment module for, if yes, extracting the steady-state running data of the high-pressure liquid tank according to the cooperative running data;

[0051] a running excitation generation module for generating a running monitoring excitation according to the steady-state running data, and acquiring excitation feedback data;

[0052] an abnormality reminding generation module for judging whether the high-pressure liquid tank is abnormal according to the excitation feedback data, and generating a refrigeration equipment abnormality reminding if yes.

[0053] The cooperative running data comprises condenser outlet pressure, liquid tank top pressure, liquid tank top temperature and liquid tank level; the running abnormality judgment module is further configured to: calculate a pressure difference value of the condenser outlet pressure and the liquid tank top pressure; calculate a unit temperature change rate according to the liquid tank top temperature, and calculate a unit pressure change rate of the liquid tank top pressure and a unit liquid level change rate of the liquid tank level; filter out a cooperative steady-state time period according to the unit pressure change rate, the unit temperature change rate, the unit liquid level change rate and the pressure difference value; calculate a tank top saturation temperature deviation and a condenser outlet temperature deviation in the cooperative steady-state time period; and judge whether the running is normal according to the tank top saturation temperature deviation and the condenser outlet temperature deviation.

[0054] Optionally, the operation abnormality judging module is further configured to: find a refrigerant property table to obtain a tank top saturation temperature corresponding to the top pressure of the liquid storage tank; perform sensor constant bias correction on the top temperature of the liquid storage tank according to the top pressure of the liquid storage tank and the tank top saturation temperature to generate a tank top corrected temperature; and calculate a unit temperature change rate of the tank top corrected temperature.

[0055] Optionally, the operation abnormality judging 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 positive, determine that the operation is normal, and if the determination is negative, determine that the operation is abnormal.

[0056] Optionally, the operation monitoring excitation comprises a set limit temperature and a controlled thermal pulse; and the operation excitation generating module is further configured to: extract a temperature change range from the steady-state operation data, and set the limit temperature according to the temperature change range; apply the controlled thermal pulse to the middle part of the tank wall of the high-pressure liquid storage tank, and constrain the maximum temperature rise of the tank wall to not exceed the limit temperature; and obtain excitation feedback data after the controlled thermal pulse is applied.

[0057] Optionally, the excitation feedback data comprises a top pressure sequence of the liquid storage tank and a top temperature sequence of the liquid storage tank; and the abnormality reminding generating module is further configured to: generate an excitation following degree index according to the top pressure sequence of the liquid storage tank and the top temperature sequence of the liquid storage tank; calculate a pressure fall time according to the top pressure sequence of the liquid storage tank and a preset tank top pressure baseline; and determine whether the high-pressure liquid storage tank is abnormal according to the excitation following degree index and the pressure fall time.

[0058] Optionally, the abnormality reminding generating module is further configured to: calculate a measured following slope of the top pressure of the liquid storage tank to the top temperature of the liquid storage tank in a pulse segment according to the top pressure sequence of the liquid storage tank and the top temperature sequence of the liquid storage tank; obtain a saturation following slope that the refrigerant should have when in two-phase saturation equilibrium; and generate an excitation following degree index by dividing the measured following slope by the saturation following slope.

[0059] Optionally, the abnormality reminding generating module is further configured to: obtain an average value of the top pressure of the liquid storage tank in a preset time window before the controlled thermal pulse is applied, and set the average value as a tank top pressure baseline; determine a pressure peak value of the top pressure sequence of the liquid storage tank and a peak occurrence time; and find a time point in the top pressure sequence of the liquid storage tank at which the top pressure first and continuously falls to a preset proportion of the pressure peak value from the peak occurrence time, and set a time difference between the found time point and the peak occurrence time as a pressure fall time.

[0060] Optionally, the abnormality reminding generation module is further configured to: determine whether the incentive following degree index is less than a preset index threshold or the pressure falling back time is greater than a preset falling back time; if the determination is yes, determine that the high-pressure liquid storage tank is abnormal; and if the determination is no, determine that the high-pressure liquid storage tank is normal.

[0061] Optionally, a computer device is further provided, comprising a memory and a processor, the memory stores a computer program, and the processor implements the steps of the operation monitoring method of the intelligent refrigeration device when executing the computer program.

[0062] Optionally, a computer readable storage medium is further provided, which stores a computer program, and the computer program is executed by a processor to implement the steps of the operation monitoring method of the intelligent refrigeration device.

[0063] The present application achieves the following technical effects:

[0064] The operation monitoring method and system of the intelligent refrigeration device, by obtaining the cooperative operation data of the condenser and the high-pressure liquid storage tank, determine whether the operation is normal; if the determination is yes, extract the steady-state operation data of the high-pressure liquid storage tank according to the cooperative operation data; generate an operation monitoring incentive according to the steady-state operation data, and obtain incentive feedback data; determine whether the high-pressure liquid storage tank is abnormal according to the incentive feedback data, and if the determination is yes, generate a refrigeration device abnormality reminding. The present application determines whether the operation is normal by obtaining the cooperative operation data of the condenser and the high-pressure liquid storage tank, uses the cooperative operation of the condenser and the high-pressure liquid storage tank to determine the operation abnormality, avoids the misjudgment caused by relying on the operation data of a single device, and only when the cooperative operation data of both represents normal operation, subsequent data processing is performed; when the operation is determined to be normal, steady-state data is extracted, specifically, the steady-state operation data of the high-pressure liquid storage tank is extracted according to the cooperative operation data, and an operation monitoring incentive is generated according to the steady-state operation data, and incentive feedback data is obtained, by setting the operation monitoring incentive triggered based on the steady-state operation data, it is ensured that the monitoring incentive is performed only in a stable operation state, avoiding the influence of monitoring on the normal operation of the device, compared with the interference and uncertainty caused by the operation incentive in the fluctuating working state, the data obtained after the operation monitoring incentive in the steady-state operation data can more accurately determine whether it is abnormal; the passive monitoring in the prior art relies too much on the actual situation, and the present application has more adjustable space through the operation monitoring incentive, can perform targeted incentive according to the actual operation to obtain the feedback data after the incentive is applied, and determines whether the high-pressure liquid storage tank is abnormal according to the incentive feedback data, if the determination is yes, a refrigeration device abnormality reminding is generated, thereby improving the flexibility and reliability of operation monitoring. BRIEF DESCRIPTION OF DRAWINGS

[0065] Figure 1Fig. 1 is a flowchart illustrating a method for monitoring operation of an intelligent refrigeration device according to an embodiment of the present application;

[0066] Figure 2 Fig. 2 is a block diagram illustrating a system for monitoring operation of an intelligent refrigeration device according to an embodiment of the present application. DETAILED DESCRIPTION

[0067] In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular sequences of steps, techniques, etc., in order to provide a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application can be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known methods, devices, and circuits are omitted so as not to obscure the description of the present application with unnecessary detail.

[0068] It is to be understood that the terminology "includes", "has", "holds", "contains" and / or "comprising", when used in this specification and in the following claims, indicates the presence of the described features, integers, steps, operations, elements, and / or components, but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and / or groups thereof.

[0069] It is also to be understood that the terminology "and / or" when used in this specification and in the following claims, refers to at least one of the items, or any combination of the items, and includes all possible combinations when used in the following claims.

[0070] As used in this specification and in the claims, the terms "if" and "when" can be interpreted to mean "upon" or "in response to determining," or "in response to detecting," depending on the context. Similarly, the phrase "if it is determined" or "if [a described condition or event] is detected" can be interpreted to mean "upon determining," or "in response to determining," or "upon detecting [the described condition or event]," or "in response to detecting [the described condition or event]," depending on the context.

[0071] In addition, the terms "first", "second", "third", etc. are used herein only to describe different aspects of the application, and are not to be construed as indicating or implying relative importance of the described aspects.

[0072] Reference within the specification to "one embodiment" or "some embodiments" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. The appearances of the phrase "in one embodiment" or "in some embodiments" in various places within specified

[0073] In one embodiment, a terminal is provided, configured to: acquire cooperative operation data of a condenser and a high-pressure liquid storage tank, and determine whether the operation is normal according to the cooperative operation data; if the determination is positive, extract steady-state operation data of the high-pressure liquid storage tank according to the cooperative operation data; generate an operation monitoring stimulus according to the steady-state operation data, and acquire stimulus feedback data; determine whether the high-pressure liquid storage tank is abnormal according to the stimulus feedback data, and if the determination is positive, generate a refrigeration equipment abnormality prompt.

[0074] The terminal can be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices.

[0075] In one embodiment, as shown in Figure 1 A method for monitoring operation of an intelligent refrigeration equipment is provided, comprising:

[0076] Step S100: acquiring cooperative operation data of a condenser and a high-pressure liquid storage tank, and determining whether the operation is normal according to the cooperative operation data;

[0077] Step S200: if the determination is positive, extracting steady-state operation data of the high-pressure liquid storage tank according to the cooperative operation data;

[0078] Step S300: generating an operation monitoring stimulus according to the steady-state operation data, and acquiring stimulus feedback data;

[0079] Step S400: determining whether the high-pressure liquid storage tank is abnormal according to the stimulus feedback data, and if the determination is positive, generating a refrigeration equipment abnormality prompt.

[0080] In the present application, whether the operation is normal is judged by acquiring the cooperative operation data of the condenser and the high-pressure liquid storage tank, the operation abnormality is judged by the cooperative operation of the condenser and the high-pressure liquid storage tank, and the misjudgment caused by relying on the operation data of a single device is avoided. Only when the cooperative operation data of the two devices both represent normal operation, subsequent data processing is performed. When it is judged that the operation is normal, steady-state data is extracted, specifically, the steady-state operation data of the high-pressure liquid storage tank is extracted according to the cooperative operation data, the operation monitoring incentive is generated according to the steady-state operation data, and the incentive feedback data is acquired. By setting the operation monitoring incentive triggered based on the steady-state operation data, it is ensured that the monitoring incentive is performed only in the stable state of operation, so as to avoid the influence of monitoring on the normal operation of the device. Compared with the interference and uncertainty caused by the operation incentive in the fluctuating working state, the data obtained after the operation monitoring incentive in the steady-state operation data can more accurately judge whether it is abnormal. When it is judged that it is not abnormal, the operation is normal. The passive monitoring in the prior art relies too much on the actual situation. However, the present application has more adjustable space through the operation monitoring incentive, can acquire the feedback data after the incentive by targeted incentive according to the actual operation, and judges whether the high-pressure liquid storage tank is abnormal according to the incentive feedback data. If it is judged that it is, the refrigeration device abnormality reminder is generated, so as to improve the flexibility and reliability of operation monitoring.

[0081] In one embodiment, the cooperative operation data includes condenser outlet pressure, storage tank top pressure, storage tank top temperature and storage tank liquid level.

[0082] Step S100: acquiring the cooperative operation data of the condenser and the high-pressure liquid storage tank, and judging whether the operation is normal according to the cooperative operation data, including:

[0083] Step S110: calculating the pressure difference value of the condenser outlet pressure and the storage tank top pressure;

[0084] Step S120: calculating the unit temperature change rate according to the storage tank top temperature, and calculating the unit pressure change rate of the storage tank top pressure and the unit liquid level change rate of the storage tank liquid level;

[0085] Step S130: screening out the cooperative steady-state time period according to the unit pressure change rate, the unit temperature change rate, the unit liquid level change rate and the pressure difference value;

[0086] Step S140: calculating the tank top saturation temperature deviation and the condenser outlet temperature deviation in the cooperative steady-state time period;

[0087] Step S150: judging whether the operation is normal according to the tank top saturation temperature deviation and the condenser outlet temperature deviation.

[0088] 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.

[0089] 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 .

[0090] 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.

[0091] 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.

[0092] 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.

[0093] 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.

[0094] 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.

[0095] In one embodiment, in step S120, the unit temperature change rate is calculated according to the liquid tank top temperature, including:

[0096] Step S121: look up the refrigerant property table to obtain the tank top saturation temperature corresponding to the liquid tank top pressure;

[0097] Step S122: make sensor constant bias correction to the liquid tank top temperature according to the liquid tank top pressure and the tank top saturation temperature, to generate a tank top corrected temperature;

[0098] Step S123: calculate the unit temperature change rate of the tank top corrected temperature.

[0099] In this embodiment, in order to obtain accurate data, constant bias correction of the sensor is needed. The refrigerant property table, also known as the P-T table of refrigerant or the refrigerant property database, is pre-set. The table lookup process uses absolute pressure. If the field collection is gauge pressure, the absolute pressure is converted by adding the local atmospheric pressure before table lookup in actual operation.

[0100] First, the tank top saturation temperature of the refrigerant under the liquid tank top pressure is looked up in the table, and then the long-term deviation is calculated. wherein, is the liquid tank top temperature, represents the tank top saturation temperature of the refrigerant under the liquid tank top pressure . Next, the median of each of the long-term deviations is taken to obtain the temperature bias . Finally, the liquid tank top temperature is subtracted by the temperature bias to obtain the tank top corrected temperature . Finally, the unit temperature change rate of the tank top corrected temperature is generated by .

[0101] In one embodiment, the cooperative operation data further includes the condenser outlet temperature; in step S140, the tank top saturation temperature deviation and the condenser outlet temperature deviation in the cooperative steady state time period are calculated as follows:

[0102] First, the tank top saturation temperature deviation is calculated by the following formula:

[0103] wherein, is the tank top corrected temperature, represents the tank top saturation temperature of the refrigerant under the liquid tank top pressure .​

[0104] The tank top saturation temperature deviation represents the difference between the temperature of the top of the tank and the theoretical temperature. The top of the storage tank is a gas accumulation area. If it is normal, there is no non-condensable gas, and the tank is in two-phase equilibrium, the temperature of the gas phase at the top should be consistent with the saturation temperature obtained by checking 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 corrected temperature, and the saturation temperature refers to the tank top saturation temperature. If the difference between the tank top corrected temperature and the tank top saturation temperature is too large, non-condensable gas or measurement point abnormality may occur, and the operation is determined to be abnormal at this time.

[0105] Then, the condenser outlet temperature deviation is calculated by the following formula :

[0106] Wherein, the larger one of a and b is taken, the condenser outlet temperature, represents the saturation temperature of the refrigerant at the condenser outlet pressure .

[0107] Wherein, and are obtained by looking up the refrigerant property table.

[0108] In a healthy working state, the condenser should output a pure liquid with sufficient supercooling. If the outlet temperature is higher than the saturation temperature at this point, it means that the condenser may entrain the vapor phase or not fully condensed, and the outlet is hot. When the outlet of the condenser is a liquid phase, the condenser outlet temperature should be lower than the saturation temperature . When the condenser outlet temperature deviation is positive, there is a greater probability of outlet overheating, and there may be a fault.

[0109] In one embodiment, step S150: judging whether the operation is normal according to the tank top saturation temperature deviation and the condenser outlet temperature deviation, comprising:

[0110] Step S151: judging 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;

[0111] Step S152: if it is judged to be yes, it is judged that the operation is normal, and if it is judged to be no, it is judged that the operation is abnormal.

[0112] In this embodiment, the first error threshold range and the second error threshold range are both pre-set. Exemplarily, the second error threshold range is greater than or equal to 1℃. Specifically, in theory, When the value is positive, it is immediately determined to be abnormal. However, in practice, due to the uncertainty caused by measurement errors in the data acquisition stage, the condenser outlet temperature cannot be 100% accurate, including Although it is pre-stored, it cannot be guaranteed to be 100% correct. Therefore, when The value is a small positive value of 0.3-0.5°C, which is likely to be caused by measurement and registration errors, rather than a real failure or abnormality of the condenser.

[0113] Therefore, in order to avoid misjudgment, 0-0.5°C and 0.5-1°C are set as the judgment interval. When The value belongs to 0-0.5°C, it is not directly determined to be abnormal, but is recorded and marked, and a retest is set. When The value belongs to 0.5-1°C, it is recorded and marked, and a retest is set. When the retest occurs multiple times, it is determined to be an abnormality caused by the outlet being too hot. If The value is greater than 1°C, the temperature difference is large at this time, so it can be directly determined to be abnormal.

[0114] Similarly, the first error threshold range is greater than 2°C, that is, when the difference between the tank top correction temperature and the tank top saturation temperature is greater than 2°C, it can be determined to be normal, and if it exceeds this range, it is determined to be abnormal.

[0115] It should be noted that the judgment intervals of 0-0.5°C, 0.5-1°C, greater than 1°C, and greater than 2°C are only examples for easy understanding and are not limited. Those skilled in the art should set threshold values that meet actual working conditions according to actual sensor errors and working conditions.

[0116] If it is determined that the tank top saturation temperature deviation is not within the first error threshold range, or the condenser outlet temperature deviation is not within the second error threshold range, it is determined to be abnormal. When it is abnormal, a maintenance instruction is generated, which is used to instruct maintenance personnel to perform fault maintenance on the refrigeration system.

[0117] In one embodiment, in step S200, when the steady-state operation data of the high-pressure liquid storage tank is extracted according to the cooperative operation data, the data related to the high-pressure liquid storage tank is extracted from the cooperative operation data based on the cooperative steady-state time period screened in step S130, that is, the steady-state operation data.

[0118] In one embodiment, the operation monitoring excitation includes setting a limiting temperature and a controlled heat pulse; step S300: generating an operation monitoring excitation according to the steady-state operation data, and obtaining excitation feedback data, including:

[0119] Step S310: Extracting a temperature variation range from the steady-state operation data, and setting a limiting temperature according to the temperature variation range;

[0120] Step S320: Applying a controlled heat pulse to the middle part of the tank wall of the high-pressure liquid storage tank, and restricting the maximum temperature rise of the tank wall to not more than the limiting temperature;

[0121] Step S330: Obtaining excitation feedback data after applying the controlled heat pulse.

[0122] In this embodiment, the steady-state operation data includes the temperature data of the tank body of the high-pressure liquid storage tank during use, so that the temperature variation range can be extracted from the steady-state operation data. When setting the limiting temperature, the temperature variation range of the current operating state and the historical temperature range need to be considered. First, based on the preset tank body temperature sensor detection in the cooperative steady-state time period, the temperature variation range of the high-pressure liquid storage tank, and the historical temperature range of the tank body of the high-pressure liquid storage tank during the normal state in the past operation period are obtained. Generally, the limiting temperature is within the temperature variation range or the historical temperature range, so that the temperature change caused by the current excitation test is ensured to occur in the past normal working state of the high-pressure liquid storage tank, thereby avoiding the influence of the excitation test on the normal working of the high-pressure liquid storage tank.

[0123] The limiting temperature is generally set to be a plurality of candidate temperatures, and when the temperature variation range is obtained, the median of the temperature variation range is taken, and the candidate temperature with the smallest difference from the median is selected as the current limiting temperature, so as to ensure that the temperature change caused by the current excitation test is as close as possible to the current working state, so as to reduce the influence of the excitation test on the high-pressure liquid storage tank as much as possible.

[0124] In step S320, a controlled heat pulse lasting for 1 to 3 seconds is applied to the middle part of the tank wall of the high-pressure liquid storage tank, so that the maximum temperature rise of the tank wall is not more than the preset limiting temperature. Exemplarily, the limiting temperature is 3℃.

[0125] In this step, a flexible thin film heating sheet with a built-in thermistor is used to apply a controlled heat pulse, and the flexible thin film heating sheet has a PWM control function. The flexible thin film heating sheet is generally arranged near the area where the liquid is wetted for many years on the high-pressure liquid storage tank, such as the outer wall of the middle part of the high-pressure liquid storage tank, so as to improve the liquid phase sensitivity.

[0126] The controlled heat pulse is usually a small heat pulse lasting 1 to 3 seconds. However, in the case of special thick tanks, it can be extended to 5 to 8 seconds if necessary. While applying the controlled heat pulse, set the temperature rise upper limit constraint and safety abort condition to limit the temperature rise of the outer wall temperature to no more than 3 degrees Celsius. Once the pressure rise rate exceeds the set threshold or the outer wall temperature rises by more than 3 degrees Celsius, heating is immediately terminated and recorded as an invalid test.

[0127] Specifically, the duration of the controlled heat pulse is within 1 to 3 seconds, and the specific duration can be set according to the actual tank wall thickness of the high-pressure liquid storage tank. By way of example, the tank wall of the high-pressure liquid storage tank in the present embodiment is a typical carbon steel tank wall with an actual thickness of 4 mm. Generally, the thickness of the high-pressure liquid storage tank is 3-6 mm. The heat diffusion of metal is fast, and a small heat 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.

[0128] By way of example, the thermal diffusivity of steel is , the pulse is set to 2 seconds, and the heat penetration depth is . After substitution, the heat penetration depth is calculated to be about 4.9 mm. That is, a heat pulse of 2 seconds has already penetrated 4.9 mm. Therefore, the pulse can be preferably set to 2-3 seconds according to the actual tank wall thickness to ensure that the heat pulse can act on the inside of the high-pressure liquid storage tank. It should be noted that this estimation is an example of order of magnitude evaluation, and the heat pulse is accurately calculated and set based on the wall thickness, heat preservation, and boundary heat exchange.

[0129] In step S330, the excitation feedback data is a pressure sequence at the top of the liquid storage tank and a temperature sequence at the top of the liquid storage tank obtained by synchronous collection at a sampling frequency of not less than 50 Hz. Data collection ends when the pressure and temperature basically fall to the level before the pulse.

[0130] When collecting the pressure sequence at the top of the liquid storage tank, a strain pressure transmitter is used and set at the gas phase pressure tapping port at the top of the high-pressure liquid storage tank. The temperature sequence at the top of the liquid storage tank is detected by a temperature detection sensor pre-set in the high-pressure liquid storage tank. The temperature detection sensor includes a fine wire thermocouple, which is preferably set in the gas phase flow field of the inner top space of the high-pressure liquid storage tank.

[0131] In one embodiment, the excitation feedback data includes a pressure sequence at the top of the liquid storage tank and a temperature sequence at the top of the liquid storage tank.

[0132] Step S400: determining whether the high-pressure liquid storage tank is abnormal according to the excitation feedback data, comprising:

[0133] ​​Step S410: generating an excitation following degree index according to the series of the top pressure of the liquid storage tank and the series of the top temperature of the liquid storage tank;

[0134] Step S420: calculating a pressure falling time according to the series of the top pressure of the liquid storage tank and a preset top pressure baseline of the tank;

[0135] Step S430: judging whether the high-pressure liquid storage tank is abnormal according to the excitation following degree index and the pressure falling time.

[0136] In the embodiment, in order to more accurately judge the operation abnormality, double judgment thresholds are set, the first threshold is to generate an excitation following degree index according to the series of the top pressure of the liquid storage tank and the series of the top temperature of the liquid storage tank, the second threshold is to calculate a pressure falling time according to the series of the top pressure of the liquid storage tank and a preset top pressure baseline of the tank, and finally whether the high-pressure liquid storage tank is abnormal is judged according to the excitation following degree index and the pressure falling time.

[0137] In one embodiment, step S410: generating an excitation following degree index according to the series of the top pressure of the liquid storage tank and the series of the top temperature of the liquid storage tank, comprises:

[0138] Step S411: calculating an actually measured following slope of the top pressure of the liquid storage tank to the top temperature of the liquid storage tank in a pulse section according to the series of the top pressure of the liquid storage tank and the series of the top temperature of the liquid storage tank;

[0139] Step S412: obtaining a saturated following slope that the refrigerant should have when in two-phase saturated equilibrium;

[0140] Step S413: dividing the actually measured following slope by the saturated following slope to generate an excitation following degree index.

[0141] In the embodiment, the actually measured following slope refers to an instantaneous slope of the pressure to the temperature actually measured during a controlled thermal pulse, and the actually measured following slope is obtained by least square linear fitting of point pairs (Ttp(t), Ptp(t)) in the pulse section. Specifically, taking the series of the top temperature of the liquid storage tank Ttp(t) as the independent variable and the series of the top pressure of the liquid storage tank Ptp(t) as the dependent variable, a straight line is fitted by using the least square method, and the slope of the straight line is defined as the actually measured following slope .

[0142] The saturated following slope The calculation is as follows: taking the average pressure and temperature before the pulse as the working condition representative point, the relative temperature sensitivity of the pressure under the two-phase saturation equilibrium condition is found in the P-T table of the refrigerant near the working condition representative point, and the sensitivity is the saturation following slope. In this embodiment, the pressure-temperature slope of the two-phase saturation curve is pre-stored in the P-T property library, so the saturation following slope can be obtained by table lookup.

[0143] Therefore, by dividing the measured following slope representing the pressure-temperature sensitivity obtained during the controlled heat pulse by the pressure-temperature sensitivity under the two-phase saturation equilibrium condition, a dimensionless excitation following degree index is generated, which is used to quantify the degree of fitting to the saturation manifold during the heat pulse, avoiding the problem of direct numerical incompatibility caused by medium differences or working condition differences.

[0144] The prior art mostly uses a static method to determine the operation abnormality, such as subcooling degree, superheating degree, sight glass observation or manual air release test, which has the problem of large error, while the embodiment adopts a completely opposite concept, that is, an active stimulation method of applying an operation monitoring excitation, and uses least square regression to obtain the measured following slope, which is more resistant to noise than the time differential method, more sensitive to the abnormality of slightly mixed non-condensable gas and the increase of gas phase ratio, and has higher accuracy.

[0145] In one embodiment, step S420: calculating the pressure drop time according to the storage tank top pressure sequence and the preset tank top pressure baseline, comprising:

[0146] Step S421: obtaining the average value of the storage tank top pressure in a preset time window before applying the controlled heat pulse, and setting it as the tank top pressure baseline;

[0147] Step S422: determining the pressure peak value of the storage tank top pressure sequence and the peak occurrence time;

[0148] Step S423: from the peak occurrence time, backward searching for the time point in the storage tank top pressure sequence when the pressure first and continuously drops to the preset proportion of the pressure peak value, and setting the time difference between the searched time point and the peak occurrence time as the pressure drop time.

[0149] In this embodiment, first, the preset time window is 3 to 5 seconds. That is, the average value of the storage tank top pressure for 3 to 5 seconds is obtained, and is set as the tank top pressure baseline.

[0150] Then, a pressure peak value of the pressure sequence of the top of the liquid storage tank and a time point at which the peak value occurs are determined, and a time point meeting a condition is found from the time point at which the peak value occurs, specifically, a time point at which the pressure in the liquid storage tank first and continuously decreases to a preset proportion of the pressure peak value is found backward. The preset proportion is 10% of the pressure peak value. From the time point at which the pressure peak value occurs, a time point at which the pressure increment first is not higher than the preset proportion of the pressure peak value is found backward, and the pressure is kept not higher than the proportion within 0.5 seconds continuously after the time point, the time point is recorded as a time point at which the pressure falls back.

[0151] Therefore, after a short and controlled thermal pulse, the internal pressure of the high-pressure liquid storage tank first increases to the pressure peak value and then gradually falls back. The healthy two-phase region quickly absorbs the perturbation caused by the thermal pulse through local condensation / vaporization, and the pressure quickly falls back. If there is non-condensable gas, too high gas volume fraction or cavity, the pressure fall back will be slow. At the same time, if the liquid path is limited, the filter drier is blocked, the valve position is improper, and the path for restoring the original state is blocked, the pressure fall back time will be long, so the pressure fall back time is set as an index for judging whether an operation is abnormal or not.

[0152] Therefore, when it is judged that the pressure fall back time is greater than a preset fall back time, it is judged that the high-pressure liquid storage tank is abnormal.

[0153] In an embodiment, step S430: judging whether the high-pressure liquid storage tank is abnormal according to the excitation following degree index and the pressure fall back time, comprises:

[0154] Step S431: judging whether the excitation following degree index is less than a preset index threshold or the pressure fall back time is greater than a preset fall back time;

[0155] Step S432: if it is judged that yes, it is judged that the high-pressure liquid storage tank is abnormal;

[0156] Step S433: if it is judged that no, it is judged that the high-pressure liquid storage tank is normal.

[0157] In the embodiment, when the value of the excitation following degree index is close to 1, it indicates that the current working condition is consistent with the healthy two-phase; when the value of the excitation following degree index is significantly less than 1, it indicates that there is non-condensable gas or the gas phase proportion is too high; when the value of the following degree index is significantly greater than 1, the temperature measurement point lags, prompting the management personnel to check the sensor and review. Therefore, when it is judged whether the excitation following degree index is less than a preset index threshold, it is judged that the high-pressure liquid storage tank is abnormal.

[0158] Exemplarily, the preset index threshold is set to 0.85 by default by a person skilled in the art. The preset fall back time is set to 60 seconds.

[0159] In one embodiment, as shown in Figure 2 There is also provided, in one embodiment, an operation monitoring system for an intelligent refrigeration device, the system comprising:

[0160] an operation abnormality judging module configured to obtain collaborative operation data of the condenser and the high-pressure liquid storage tank, and judge whether the operation is normal according to the collaborative operation data;

[0161] a steady-state operation judging module configured to, if the operation is judged to be normal, extract steady-state operation data of the high-pressure liquid storage tank according to the collaborative operation data;

[0162] an operation incentive generating module configured to generate operation monitoring incentives according to the steady-state operation data, and obtain incentive feedback data;

[0163] an abnormality reminding generating module configured to judge whether the high-pressure liquid storage tank is abnormal according to the incentive feedback data, and generate a refrigeration device abnormality reminder if the high-pressure liquid storage tank is judged to be abnormal.

[0164] In one embodiment, the collaborative operation data comprises condenser outlet pressure, storage tank top pressure, storage tank top temperature, and storage tank liquid level; the operation abnormality judging module is further configured to: calculate a pressure difference value of the condenser outlet pressure and the storage tank top pressure; calculate a unit temperature change rate according to the storage tank top temperature, and calculate a unit pressure change rate of the storage tank top pressure and a unit liquid level change rate of the storage tank liquid level; filter out a collaborative steady-state time period according to the unit pressure change rate, the unit temperature change rate, the unit liquid level change rate, and the pressure difference value; calculate a tank top saturation temperature deviation and a condenser outlet temperature deviation in the collaborative steady-state time period; and judge whether the operation is normal according to the tank top saturation temperature deviation and the condenser outlet temperature deviation.

[0165] In one embodiment, the operation abnormality judging module is further configured to: find a tank top saturation temperature corresponding to the storage tank top pressure from a refrigerant property table; perform sensor constant bias correction on the storage tank top temperature according to the storage tank top pressure and the tank top saturation temperature to generate a tank top corrected temperature; and calculate a unit temperature change rate of the tank top corrected temperature.

[0166] In one embodiment, the operation abnormality judging module is further configured to: judge 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; judge the operation to be normal if the tank top saturation temperature deviation is within the first error threshold range and the condenser outlet temperature deviation is within the second error threshold range; and judge the operation to be abnormal if the tank top saturation temperature deviation is not within the first error threshold range or the condenser outlet temperature deviation is not within the second error threshold range.

[0167] In one embodiment, the operation monitoring excitation comprises setting a limiting temperature and a controlled thermal pulse; the operation excitation generation module is further configured to: extract a temperature variation range from the steady-state operation data, and set the limiting temperature according to the temperature variation range; apply the controlled thermal pulse to the middle part of the tank wall of the high-pressure liquid storage tank, and constrain the maximum temperature rise of the tank wall to not exceed the limiting temperature; and obtain excitation feedback data after the controlled thermal pulse is applied.

[0168] In one embodiment, the excitation feedback data comprises a sequence of the top pressure of the liquid storage tank and a sequence of the top temperature of the liquid storage tank; the abnormality reminding generation module is further configured to: generate an excitation following degree index according to the sequence of the top pressure of the liquid storage tank and the sequence of the top temperature of the liquid storage tank; calculate a pressure falling time according to the sequence of the top pressure of the liquid storage tank and a preset tank top pressure baseline; and determine whether the high-pressure liquid storage tank is abnormal according to the excitation following degree index and the pressure falling time.

[0169] In one embodiment, the abnormality reminding generation module is further configured to: calculate a measured following slope of the top pressure of the liquid storage tank to the top temperature of the liquid storage tank in a pulse segment according to the sequence of the top pressure of the liquid storage tank and the sequence of the top temperature of the liquid storage tank; obtain a saturated following slope that the refrigerant should have when in a two-phase saturated equilibrium; and generate an excitation following degree index by dividing the measured following slope by the saturated following slope.

[0170] In one embodiment, the abnormality reminding generation module is further configured to: obtain an average value of the top pressure of the liquid storage tank in a preset time window before the controlled thermal pulse is applied, and set the average value as a tank top pressure baseline; determine a pressure peak value of the sequence of the top pressure of the liquid storage tank and a peak occurrence time; and find a time point in the sequence of the top pressure of the liquid storage tank at which the pressure first and continuously falls to a preset proportion of the pressure peak value from the peak occurrence time, and set a time difference between the found time point and the peak occurrence time as a pressure falling time.

[0171] In one embodiment, the abnormality reminding generation module is further configured to: determine whether the excitation following degree index is less than a preset index threshold or the pressure falling time is greater than a preset falling time; if the determination is yes, determine that the high-pressure liquid storage tank is abnormal; and if the determination is no, determine that the high-pressure liquid storage tank is normal.

[0172] It should be noted that the information interaction, execution process, and the like between the above modules are based on the same concept as the method embodiments of the present application, and the specific functions and the technical effects brought by the same can be referred to the method embodiments part, which will not be described here.

[0173] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above functional units and modules is exemplified, and in actual application, the above functions can be completed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to complete all or part of the above described functions. Each functional unit or module in the embodiment can be integrated in one processing unit, or each unit can be physically present separately, or two or more units can be integrated in one unit. The integrated unit can be realized in the form of hardware or in the form of a software functional unit. In addition, the specific name of each functional unit or module is only for convenient distinction, and does not limit the protection scope of the present application. The specific working process of the unit or module in the system can refer to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0174] The embodiments of the present application further provide a network device, which comprises 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 implements the steps in any of the method embodiments described above when executing the computer program.

[0175] The embodiments of the present application further provide a computer readable storage medium, which stores a computer program, wherein the computer program is executable on a processor to implement the steps in any of the method embodiments described above.

[0176] The embodiments of the present application provide a computer program product, which, when running on a mobile terminal, enables the mobile terminal to implement the steps in any of the method embodiments described above.

[0177] The integrated unit, if implemented in the form of a software function unit and sold or used as an independent product, can be stored in a computer readable storage medium. Based on such understanding, the present application can implement all or part of the processes in the above-mentioned embodiment methods through a computer program to instruct relevant hardware to complete, and the computer program can be stored in a computer readable storage medium. When the computer program is executed by a processor, the steps of each method embodiment described above can be implemented. The computer program includes computer program code, which can be in the form of source code, object code, executable files or some intermediate forms. The computer readable medium can at least include any entity or device capable of carrying the computer program code to the photographing device / terminal equipment, recording medium, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium. For example, U disk, mobile hard disk, magnetic disk or optical disk, etc. In some jurisdictions, according to legislation and patent practice, the computer readable medium can not be an electrical carrier signal and a telecommunication signal.

[0178] In the above embodiments, the description of each embodiment has its own focus, and the parts not described or recorded in detail in a certain embodiment can be referred to the relevant description of other embodiments.

[0179] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in connection with the embodiments disclosed herein can be realized by electronic hardware, or a combination of computer software and electronic hardware. Whether the functions are performed 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 the present application.

[0180] In the embodiments provided by the present application, it should be understood that the disclosed apparatus / network device and method can be implemented in other ways. For example, the above-described apparatus / network device embodiments are merely schematic, for example, the division of the modules or units is only a logical function division, and actual implementation can have another division manner, for example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the shown or discussed each other can be indirect coupling or communication connection through some interfaces, devices or units, and can be electrical, mechanical or other forms.

[0181] The units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, i.e. may be located in one place, or may be distributed on multiple network units. Part or all of the units can be selected according to actual needs to achieve the purpose of the embodiment scheme.

[0182] The above-described embodiments are only used to illustrate the technical solutions of the present application, but not limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement to part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.

[0183] An embodiment of the present application further provides a computer device, the computer device of the embodiment comprising: 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 implements the steps in any of the above methods when executing the computer program.

[0184] The computer device can include, but is not limited to, a processor and a memory. Those skilled in the art can understand that the above description is an example of the computer device, and does not constitute a limitation on the computer device, and can include more or fewer components than the above description, or combine certain components, or different components, for example, can also include input / output devices, network access devices, etc.

[0185] The processor can be a central processing unit (CPU), and the processor can also be other general-purpose processors, digital signal processors (DSP), application specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor.

[0186] The memory can be an internal storage unit of the computer device in some embodiments, such as a hard disk or a memory of the computer device. The memory can also be an external storage device of the computer device in other embodiments, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, and the like. Further, the memory can include both an internal storage unit and an external storage device of the computer device. The memory is used to store an operating system, an application program, a boot loader, data, and other programs, such as program codes of the computer program, and the like. The memory can also be used to temporarily store data that has been output or is to be output.

[0187] The technical features of the above embodiments can be combined in any manner. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described, but it should be understood that any combination of the technical features is within the scope of the present disclosure as long as the combination does not result in a contradiction.

[0188] The above embodiments only express several implementation manners of the present application, and the description is relatively specific and detailed, but it should not be understood as a limitation on the scope of the present application. It should be noted that, for those skilled in the art, several modifications and improvements can be made without departing from the concept of the present application, and these are within the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A method of monitoring operation of an intelligent refrigeration device, characterized by, The method comprises: obtaining the cooperative operation data of the condenser and the high-pressure liquid storage tank, and judging whether the operation is normal according to the cooperative operation data; if the judgment is yes, extracting the steady-state operation data of the high-pressure liquid storage tank according to the cooperative operation data; generating an operation monitoring excitation according to the steady-state operation data, and obtaining excitation feedback data; judging whether the high-pressure liquid storage tank is abnormal according to the excitation feedback data, and if the judgment is yes, generating a refrigeration equipment abnormality prompt; the cooperative operation data comprises condenser outlet pressure, storage tank top pressure, storage tank top temperature and storage tank liquid level; obtaining the cooperative operation data of the condenser and the high-pressure liquid storage tank, and judging whether the operation is normal according to the cooperative operation data, comprising: calculating the pressure difference value of the condenser outlet pressure and the storage tank top pressure; calculating the unit temperature change rate according to the storage tank top temperature, and calculating the unit pressure change rate of the storage tank top pressure and the unit liquid level change rate of the storage tank liquid level; screening out a cooperative steady-state time period according to the unit pressure change rate, the unit temperature change rate, the unit liquid level change rate and the pressure difference value; calculating the tank top saturation temperature deviation and the condenser outlet temperature deviation in the cooperative steady-state time period; judging whether the operation is normal according to the tank top saturation temperature deviation and the condenser outlet temperature deviation; the operation monitoring excitation comprises a set limit temperature and a controlled heat pulse; generating an operation monitoring excitation according to the steady-state operation data, and obtaining excitation feedback data, comprising: extracting a temperature change range from the steady-state operation data, and setting a limit temperature according to the temperature change range; applying a controlled heat pulse to the middle part of the tank wall of the high-pressure liquid storage tank, and restricting the maximum temperature rise of the tank wall to not more than the limit temperature; obtaining excitation feedback data after applying the controlled heat pulse; the excitation feedback data comprises a storage tank top pressure sequence and a storage tank top temperature sequence; judging whether the high-pressure liquid storage tank is abnormal according to the excitation feedback data, comprising: generating an excitation following degree index according to the storage tank top pressure sequence and the storage tank top temperature sequence; calculating the pressure drop time according to the storage tank top pressure sequence and the preset tank top pressure baseline; judging whether the high-pressure liquid storage tank is abnormal according to the excitation following degree index and the pressure drop time.

2. The method of claim 1, wherein, calculating the unit temperature change rate according to the storage tank top temperature, comprising: looking up the refrigerant property table to obtain the tank top saturation temperature corresponding to the storage tank top pressure; performing sensor constant bias correction on the storage tank top temperature according to the storage tank top pressure and the tank top saturation temperature to generate a tank top corrected temperature; calculating the unit temperature change rate of the tank top corrected temperature. 3.The method of claim 1, wherein, judging whether the operation is normal according to the tank top saturation temperature deviation and the condenser outlet temperature deviation, comprising: judging 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 judgment is yes, the operation is normal, and if the judgment is no, the operation is abnormal. 4.The method of claim 1, wherein, generating an excitation following degree index according to the storage tank top pressure sequence and the storage tank top temperature sequence, comprising: calculating a measured following slope of the tank top pressure versus the tank top temperature of the pulse section according to the tank top pressure sequence and the tank top temperature sequence; obtaining a saturated following slope that the refrigerant should have when in two-phase saturated equilibrium; dividing the measured following slope by the saturated following slope to generate an excitation following degree index. 5.The method of claim 1, wherein, calculating a pressure drop time according to the tank top pressure sequence and a preset tank top pressure baseline, including: obtaining an average value of the tank top pressure in a preset time window before applying the controlled heat pulse, and setting the average value as the tank top pressure baseline; determining a pressure peak value of the tank top pressure sequence and a time when the pressure peak value occurs; finding a time point when the tank top pressure sequence first and continuously drops to a preset proportion of the pressure peak value from the time when the pressure peak value occurs, and setting a time difference between the found time point and the time when the pressure peak value occurs as the pressure drop time. 6.The method of claim 1, wherein, judging whether the high-pressure liquid storage tank is abnormal according to the excitation following degree index and the pressure drop time, including: judging whether the excitation following degree index is less than a preset index threshold or the pressure drop time is greater than a preset drop time; if the judgment is yes, judging that the high-pressure liquid storage tank is abnormal; if the judgment is no, judging that the high-pressure liquid storage tank is normal.

7. A monitoring system for the operation of an intelligent refrigeration device, characterized in that, The system includes: an operation abnormality judging module configured to obtain cooperative operation data of a condenser and a high-pressure liquid storage tank, and judge whether the operation is normal according to the cooperative operation data; a steady-state operation judging module configured to, if the judgment is yes, extract steady-state operation data of the high-pressure liquid storage tank according to the cooperative operation data; an operation excitation generating module configured to generate an operation monitoring excitation according to the steady-state operation data, and obtain excitation feedback data; an abnormality reminding generating module configured to judge whether the high-pressure liquid storage tank is abnormal according to the excitation feedback data, and generate a refrigeration equipment abnormality reminder if the judgment is yes. The cooperative operation data includes a condenser outlet pressure, a tank top pressure, a tank top temperature, and a tank liquid level; the operation abnormality judging module is further configured to: calculate a pressure difference value of the condenser outlet pressure and the tank top pressure; calculate a unit temperature change rate according to the tank top temperature, and calculate a unit pressure change rate of the tank top pressure and a unit liquid level change rate of the tank liquid level; filter out a cooperative steady-state time period according to the unit pressure change rate, the unit temperature change rate, the unit liquid level change rate, and the pressure difference value; calculate a tank top saturated temperature deviation and a condenser outlet temperature deviation in the cooperative steady-state time period; and judge whether the operation is normal according to the tank top saturated temperature deviation and the condenser outlet temperature deviation; The operation monitoring excitation includes a set limit temperature and a controlled heat pulse; the operation excitation generating module is further configured to: extract a temperature change range from the steady-state operation data, and set the limit temperature according to the temperature change range; apply the controlled heat pulse to a middle part of a tank wall of the high-pressure liquid storage tank, and constrain a maximum temperature rise of the tank wall to not exceed the limit temperature; and obtain the excitation feedback data after applying the controlled heat pulse. The excitation feedback data comprises a liquid storage tank top pressure sequence and a liquid storage tank top temperature sequence; the abnormality reminding generation module is further configured to generate an excitation following degree index according to the liquid storage tank top pressure sequence and the liquid storage tank top temperature sequence; calculate a pressure falling back time according to the liquid storage tank top pressure sequence and a preset tank top pressure baseline; and determine whether the high-pressure liquid storage tank is abnormal according to the excitation following degree index and the pressure falling back time.

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