Refrigeration system intelligent operation configuration method and system

Abstract

The present application relates to the field of refrigeration system control technology, including a method and system for intelligent operation configuration of a refrigeration system, the method comprising: obtaining the refrigeration operation process data of the expansion valve in the refrigeration system, generating the refrigeration state fluctuation amplitude of the expansion valve; judging whether the refrigeration state fluctuation amplitude is greater than or equal to a preset refrigeration operation fluctuation threshold, if the judgment is yes, judging whether the operation of the expansion valve meets the qualified working standard; if the judgment is that the operation of the expansion valve meets the qualified working standard, then obtaining the operation data to be evaluated; generating operation interference data, judging whether the refrigeration component to be evaluated interferes with the expansion valve, if the judgment is yes, then generating an interference component maintenance indication, and inspecting the refrigeration system according to the interference component maintenance indication. The present invention realizes an operation monitoring and configuration mode with the expansion valve as the core monitoring point and other components as auxiliary monitoring points, thereby ensuring the stable operation of the refrigeration system.

Description

Technical Field

[0001] The present application relates to the field of refrigeration system control technology, and in particular to a method and system for intelligent operation configuration of a refrigeration system. Background Art

[0002] A refrigeration system is a system that uses external energy to transfer heat from a substance (or environment) with a lower temperature to a substance (or environment) with a higher temperature. It is mainly composed of four major components: a compressor, a condenser, an expansion valve, and an evaporator. The refrigeration cycle is realized through the coordinated work of these components.

[0003] During the operation of the refrigeration system, it is crucial to control the normal operation of its components. There are many control schemes for refrigeration systems in the prior art. For example, the Chinese invention patent with publication number CN118463410A disclosed a direct evaporative refrigeration system and its control method on August 11, 2024. The refrigeration system includes a control device and a compression mechanism, a condensing mechanism, a liquid storage mechanism, a cooling and air supply mechanism and a gas-liquid separation mechanism connected in sequence end to end; the compression mechanism includes an oil separator, and a first heating mechanism is arranged in the oil separator; the liquid storage mechanism includes a liquid reservoir, and a second heating mechanism is arranged in the liquid reservoir; the gas-liquid separation mechanism includes a gas-liquid separator, and a third heating mechanism is arranged in the gas-liquid separator; the first heating mechanism, condensing mechanism, second heating mechanism, cooling and air supply mechanism and third heating mechanism are electrically connected to the control device respectively.

[0004] Although the technical solution in the above patent document can achieve the goal of ensuring that the lubricating oil in the oil separator maintains a certain temperature and the liquid reservoir and the gas-liquid separator maintain a certain pressure and temperature by adjusting the working conditions of the three heating mechanisms, it still has similar problems as other control systems in the prior art. Specifically, it is usually only inspected and repaired at fixed time periods, or components are replaced only when the refrigeration component itself fails. This may easily lead to untimely monitoring of the running components, or the wear of individual components may not affect their own use but affect other components, such as affecting the operation of the expansion valve, which may easily lead to instability of the refrigeration system. Summary of the invention

[0005] Based on this, it is necessary to provide a method and system for intelligent operation configuration of a refrigeration system that can avoid the problem of downtime losses and damage to other components due to a fault problem and then determine that the component is faulty, in response to the above-mentioned technical problems, and realize a comprehensive, high-efficiency, high-accuracy and high-stability refrigeration system operation monitoring method with the expansion valve as the core monitoring point and other components as auxiliary monitoring points.

[0006] The technical solution of the present invention is as follows:

[0007] A method for configuring intelligent operation of a refrigeration system, the method comprising:

[0008] Acquire refrigeration operation process data of an expansion valve in a refrigeration system when performing a current refrigeration task, and generate a refrigeration state fluctuation amplitude of the expansion valve according to the refrigeration operation process data;

[0009] Determine whether the refrigeration state fluctuation amplitude is greater than or equal to a preset refrigeration operation fluctuation threshold value; if so, perform a self-inspection on the expansion valve, and determine whether the operation of the expansion valve meets the qualified working standard according to the self-inspection operation data during the self-inspection process;

[0010] If it is determined that the operation of the expansion valve meets the qualified working standard, obtaining the refrigeration component to be evaluated corresponding to the expansion valve, and obtaining the operation data to be evaluated of the refrigeration component to be evaluated;

[0011] Operation interference data of the refrigeration component to be evaluated on the expansion valve is generated based on the operation data to be evaluated, and it is determined based on the operation interference data whether the refrigeration component to be evaluated interferes with the expansion valve. If it is determined to be yes, an interfering component maintenance indication is generated, and the refrigeration system is repaired based on the interfering component maintenance indication.

[0012] Optionally, generating the refrigeration state fluctuation amplitude of the expansion valve according to the refrigeration operation process data includes:

[0013] Extracting expansion valve control data, expansion valve outlet pressure data, expansion valve temperature data and expansion valve flow data of the expansion valve according to the refrigeration operation process data;

[0014] Classifying the expansion valve control data according to control parameters and generating a plurality of parameter control data segments, wherein the expansion valve control parameters in each parameter control data segment are the same, the number of expansion valve control parameters in the parameter control data segment is the same number of parameters, and one parameter control data segment corresponds to one same number of parameters;

[0015] Compare the numbers of the same parameters, and set the parameter control data segment corresponding to the number of the same parameters with the largest value as the parameter control data segment to be evaluated, wherein the expansion valve control parameters in the parameter control data segment to be evaluated are the control parameters to be evaluated, each of the control parameters to be evaluated corresponds to an opening control time period, and the number of the control parameters to be evaluated is n;

[0016] Extracting the outlet pressure data to be evaluated of each of the control parameters to be evaluated in the corresponding opening control time period from the expansion valve outlet pressure data, and generating an outlet pressure mean value according to the outlet pressure data to be evaluated;

[0017] Extracting inlet and outlet temperature data of each of the control parameters to be evaluated within a corresponding opening control time period from the expansion valve temperature data, and generating an inlet and outlet temperature difference mean value according to the inlet and outlet temperature data;

[0018] Extracting refrigerant flow rate data of each control parameter to be evaluated within a corresponding opening control time period from the expansion valve flow data, and generating a refrigerant flow rate mean value according to each refrigerant flow rate data;

[0019] According to the average value of the outlet pressure, the average value of the inlet and outlet temperature difference and the average value of the refrigerant flow rate, the refrigeration state fluctuation amplitude of the expansion valve is generated based on the following formula:

[0020] ;

[0021] Among them, FA is the fluctuation amplitude of the cooling state, is the pressure proportionality coefficient, n is the number of control parameters to be evaluated, Poj is the mean outlet pressure of the jth outlet pressure data to be evaluated, is the temperature proportionality coefficient, Toj is the mean inlet and outlet temperature difference of the jth inlet and outlet temperature data, is the flow rate proportional coefficient, and Vaj is the mean refrigerant flow rate of the jth refrigerant flow rate data.

[0022] Optionally, the method further comprises the step of setting a current refrigeration task, comprising:

[0023] Acquire a refrigeration setting operation of a refrigeration operation subject to perform refrigeration task setting;

[0024] Acquire a basic setting task of the refrigeration operation subject according to the refrigeration setting operation;

[0025] In response to the cooling setting operation, detecting basic environmental information of the environment where the cooling operation subject is located, and generating a cooling setting suggestion according to the basic environmental information;

[0026] Displaying the refrigeration setting suggestion to the refrigeration operation subject, and obtaining task modification data of the basic setting task by the refrigeration operation subject according to the refrigeration setting suggestion;

[0027] The basic setting task is modified according to the task modification data, and the current refrigeration task is set after the modification is completed.

[0028] Optionally, performing a self-inspection on the expansion valve, and judging whether the operation of the expansion valve meets a qualified working standard according to self-inspection operation data in the self-inspection process, includes:

[0029] acquiring expansion valve control data of the expansion valve;

[0030] Compare each expansion valve control parameter in the expansion valve control data with each standard excitation control parameter in the pre-stored standard excitation data, and select the same parameter group, wherein the same parameter group includes expansion valve control parameters and standard excitation control parameters with the same parameters, and each of the standard excitation control parameters corresponds to a standard feedback valve port flow value range;

[0031] Generate a self-check excitation test instruction according to the standard excitation control parameters in the same parameter group;

[0032] Controlling the expansion valve to work according to the self-test excitation test instruction, and collecting self-test operation data of the expansion valve;

[0033] According to the self-test operation data, the actual feedback valve port flow value is generated based on the following formula:

[0034] ;

[0035] Among them, Ym is the actual feedback valve port flow value, π is the pi, d is the valve port diameter of the expansion valve, SZ is the valve port opening of the expansion valve, is the density of the refrigerant flowing through the expansion valve, Pin is the inlet pressure of the expansion valve, and Pout is the outlet pressure of the expansion valve;

[0036] Determining whether the actual feedback valve port flow value is within the standard feedback valve port flow value range;

[0037] If the judgment is yes, then it is judged that the operation of the expansion valve meets the qualified working standard;

[0038] If the judgment is no, it is determined that the operation of the expansion valve does not meet the qualified working standard.

[0039] Optionally, if it is determined that the operation of the expansion valve meets the qualified working standard, obtaining the refrigeration component to be evaluated corresponding to the expansion valve, and obtaining the operation data to be evaluated of the refrigeration component to be evaluated; including:

[0040] If it is determined that the operation of the expansion valve meets the qualified working standard, obtaining the historical usage data of the expansion valve;

[0041] Acquire the historical working time of the expansion valve according to the historical usage data;

[0042] generating an interference extension range according to the historical working duration;

[0043] The refrigeration component to be evaluated corresponding to the expansion valve is acquired according to the interference extension range, and the operating data to be evaluated of the refrigeration component to be evaluated is acquired.

[0044] Optionally, the operation data to be evaluated includes own operation data and external interference data;

[0045] Generating operation interference data of the refrigeration component to be evaluated on the expansion valve according to the operation data to be evaluated, and judging whether the refrigeration component to be evaluated interferes with the expansion valve according to the operation interference data, and if the judgment is yes, generating an interference component maintenance indication, and repairing the refrigeration system according to the interference component maintenance indication, including:

[0046] Determining whether the operation of the refrigeration component to be evaluated complies with the normal operating state according to the operation data to be evaluated in the operation data to be evaluated;

[0047] If the judgment is no, a refrigeration component maintenance configuration instruction is generated, the refrigeration system is controlled to shut down according to the refrigeration component maintenance configuration instruction, and a refrigeration system manager is instructed to repair the refrigeration component to be evaluated;

[0048] If the judgment is yes, extracting interference path data and operation vibration data from the external interference data in the operation data to be evaluated, wherein one refrigeration component to be evaluated corresponds to one interference path data and one operation vibration data;

[0049] Extracting a vibration conduction path and a vibration conduction medium according to the interference path data, acquiring a vibration conduction distance and a conduction bending path according to the vibration conduction path, and acquiring a conduction medium coefficient according to the vibration conduction medium;

[0050] generating a bent conduction increase path according to the conductive bent path;

[0051] Extracting the average vibration amplitude and the average vibration frequency of the refrigeration component to be evaluated according to the operating vibration data;

[0052] Generate a vibration conduction interference value based on the vibration conduction distance, conduction medium coefficient, bending conduction increase path, average vibration amplitude and average vibration frequency;

[0053] Determine whether the vibration conduction interference value is greater than or equal to a preset vibration interference threshold value, and if it is determined to be not, generate a continuous monitoring instruction, and continuously monitor the refrigeration system according to the continuous monitoring instruction;

[0054] If the answer is yes, it is determined that the refrigeration component to be evaluated interferes with the expansion valve, an interference component maintenance indication is generated, and the refrigeration system is repaired according to the interference component maintenance indication.

[0055] Optionally, the vibration conduction disturbance value is generated based on the following formula:

[0056] ;

[0057] Among them, Dr is the vibration conduction interference value, M is the number of refrigeration components to be evaluated, Cmk is the conduction medium coefficient corresponding to the vibration conduction medium between the kth refrigeration component to be evaluated and the expansion valve, Lsk is the vibration conduction distance between the kth refrigeration component to be evaluated and the expansion valve, Lrk is the bending conduction increased path between the kth refrigeration component to be evaluated and the expansion valve, AFk is the average vibration amplitude of the kth refrigeration component to be evaluated, and FHk is the average vibration frequency of the kth refrigeration component to be evaluated.

[0058] Optionally, a refrigeration system intelligent operation configuration system is also provided, the system comprising:

[0059] A refrigeration fluctuation generating module, used for acquiring refrigeration operation process data when an expansion valve in a refrigeration system performs a current refrigeration task, and generating a refrigeration state fluctuation amplitude of the expansion valve according to the refrigeration operation process data;

[0060] A self-check control judgment module, used to judge whether the fluctuation amplitude of the refrigeration state is greater than or equal to a preset refrigeration operation fluctuation threshold value, and if it is judged to be yes, to perform a self-check on the expansion valve, and to judge whether the operation of the expansion valve meets the qualified working standard according to the self-check operation data in the self-check process;

[0061] A related data acquisition module, for acquiring the refrigeration component to be evaluated corresponding to the expansion valve and acquiring the operation data to be evaluated of the refrigeration component to be evaluated if it is determined that the operation of the expansion valve meets the qualified working standard;

[0062] An associated interference judgment module is used to generate operation interference data of the refrigeration component to be evaluated on the expansion valve based on the operation data to be evaluated, and to judge whether the refrigeration component to be evaluated interferes with the expansion valve based on the operation interference data; if the judgment is yes, an interfering component maintenance indication is generated, and the refrigeration system is repaired according to the interfering component maintenance indication.

[0063] Optionally, a computer device is also provided, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps described in the above-mentioned refrigeration system intelligent operation configuration method when executing the computer program.

[0064] Optionally, a computer-readable storage medium is also provided, on which a computer program is stored, and when the computer program is executed by a processor, the steps described in the above-mentioned refrigeration system intelligent operation configuration method are implemented.

[0065] The technical effects achieved by the present invention are as follows:

[0066] The above-mentioned intelligent operation configuration method and system of the refrigeration system obtains the refrigeration operation process data of the expansion valve in the refrigeration system when performing the current refrigeration task, and generates the refrigeration state fluctuation amplitude of the expansion valve according to the refrigeration operation process data; judges whether the refrigeration state fluctuation amplitude is greater than or equal to the preset refrigeration operation fluctuation threshold value; if it is judged to be yes, performs a self-inspection on the expansion valve, and judges whether the operation of the expansion valve meets the qualified working standard according to the self-inspection operation data in the self-inspection process; if it is judged that the operation of the expansion valve meets the qualified working standard, obtains the refrigeration component to be evaluated corresponding to the expansion valve, and obtains the operation data to be evaluated of the refrigeration component to be evaluated; generates the operation interference data of the refrigeration component to be evaluated on the expansion valve according to the operation data to be evaluated, and judges whether the refrigeration component to be evaluated interferes with the expansion valve according to the operation interference data; if it is judged to be yes, generates an interference component maintenance indication, and repairs the refrigeration system according to the interference component maintenance indication. In the present invention, in order to ensure the normal operation of the expansion valve in the refrigeration system and to determine whether its current operation has an unstable trend, the refrigeration operation process data of the expansion valve in the refrigeration system when performing the current refrigeration task is first obtained, and the refrigeration state fluctuation amplitude of the expansion valve is generated according to the refrigeration operation process data. The refrigeration state fluctuation amplitude is used to measure the operation stability of the expansion valve. Then, it is determined whether the refrigeration state fluctuation amplitude is greater than or equal to the preset refrigeration operation fluctuation threshold. If the judgment is no, that is, it is determined that the refrigeration state fluctuation amplitude is less than the preset refrigeration operation fluctuation threshold, it means that the working fluctuation of the expansion valve is within the normal fluctuation range, so a normal operation instruction is generated, and the refrigeration system is controlled to continue to operate and continue to refrigerate according to the normal operation instruction. If the judgment is yes, that is, it is judged that the refrigeration state fluctuation amplitude is greater than or equal to the preset refrigeration operation fluctuation threshold, then it means that the working state fluctuation of the expansion valve is large and exceeds the preset normal value, so it is necessary to first judge whether the expansion valve itself is faulty, by self-checking the expansion valve, and judging whether the operation of the expansion valve meets the preset qualified working standards based on the self-check operation data during the self-check process. If it is judged that the qualified working standards are not met, it means that the expansion valve itself may have a fault or a potential fault, which causes its working state to fluctuate greatly. At this time, the expansion valve needs to be inspected and repaired, so a shutdown and maintenance instruction is generated, and the refrigeration system is controlled to suspend work according to the shutdown and maintenance instruction. After the suspension, the refrigeration system management personnel will inspect the expansion valve.If it is determined that the operation of the expansion valve meets the preset qualified working standards, it means that the expansion valve itself has no fault problems at this time, and it is possible that other components have problems and thus affect the expansion valve, so other components need to be checked, by obtaining the refrigeration component to be evaluated corresponding to the expansion valve, and obtaining the operation data to be evaluated of the refrigeration component to be evaluated, the refrigeration component to be evaluated is a component in the refrigeration system that has an associated relationship with the expansion valve, and then generating operation interference data of the refrigeration component to be evaluated on the expansion valve based on the operation data to be evaluated, the operation interference data is used to represent the impact of the operation of the refrigeration component to be evaluated on the expansion valve, and then, judging whether the refrigeration component to be evaluated interferes with the expansion valve is judged by the operation interference data, and if it is judged to be yes, it means that it is due to The existence of a problem in the refrigeration component to be evaluated affects the expansion valve, causing a large fluctuation in the working state of the expansion valve, thereby generating an interference component maintenance indication, and repairing the refrigeration system according to the interference component maintenance indication. Therefore, the present invention detects the working state of the expansion valve, a core component in the refrigeration system, and analyzes its working fluctuations to avoid the problem of untimely maintenance due to fixed maintenance, and also avoids the problem of easily causing downtime losses and damage to other components due to a fault problem. It also judges whether the fluctuation is caused by the influence of other matching components under the premise that the expansion valve itself is normal, thereby realizing an operation monitoring and configuration mode with the expansion valve as the core monitoring point and other components as auxiliary monitoring points, thereby ensuring the stable operation of the refrigeration system. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 A schematic diagram of a flow chart of a method for configuring intelligent operation of a refrigeration system in one embodiment;

[0068] Figure 2 A structural block diagram of a refrigeration system intelligent operation configuration system in one embodiment. DETAILED DESCRIPTION

[0069] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0070] In one embodiment, a terminal is provided, which is used to: obtain refrigeration operation process data when an expansion valve in a refrigeration system performs a current refrigeration task, and generate a refrigeration state fluctuation amplitude of the expansion valve according to the refrigeration operation process data; determine whether the refrigeration state fluctuation amplitude is greater than or equal to a preset refrigeration operation fluctuation threshold value, and if it is determined to be yes, perform a self-inspection on the expansion valve, and determine whether the operation of the expansion valve meets the qualified working standard according to the self-inspection operation data during the self-inspection process; if it is determined that the operation of the expansion valve meets the qualified working standard, obtain the refrigeration component to be evaluated corresponding to the expansion valve, and obtain the operation data to be evaluated of the refrigeration component to be evaluated; generate operation interference data of the refrigeration component to be evaluated on the expansion valve according to the operation data to be evaluated, and determine whether the refrigeration component to be evaluated interferes with the expansion valve according to the operation interference data, and if it is determined to be yes, generate an interference component maintenance indication, and repair the refrigeration system according to the interference component maintenance indication.

[0071] The terminal may be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, and portable wearable devices.

[0072] In one embodiment, Figure 1 As shown, a method for configuring intelligent operation of a refrigeration system is provided, the method comprising:

[0073] Step S100: acquiring refrigeration operation process data of an expansion valve in a refrigeration system when performing a current refrigeration task, and generating a refrigeration state fluctuation amplitude of the expansion valve according to the refrigeration operation process data;

[0074] Step S200: determining whether the refrigeration state fluctuation amplitude is greater than or equal to a preset refrigeration operation fluctuation threshold; if so, performing a self-inspection on the expansion valve, and determining whether the operation of the expansion valve meets a qualified working standard based on the self-inspection operation data during the self-inspection process;

[0075] Step S300: if it is determined that the operation of the expansion valve meets the qualified working standard, then obtaining the refrigeration component to be evaluated corresponding to the expansion valve, and obtaining the operation data to be evaluated of the refrigeration component to be evaluated;

[0076] Step S400: Generate operational interference data of the refrigeration component to be evaluated on the expansion valve based on the operational data to be evaluated, and determine whether the refrigeration component to be evaluated interferes with the expansion valve based on the operational interference data; if so, generate an interfering component maintenance indication, and inspect the refrigeration system based on the interfering component maintenance indication.

[0077] In this embodiment, in order to ensure the normal operation of the expansion valve in the refrigeration system and to determine whether its current operation has an unstable trend, the refrigeration operation process data of the expansion valve in the refrigeration system when performing the current refrigeration task is first obtained, and the refrigeration state fluctuation amplitude of the expansion valve is generated according to the refrigeration operation process data. The refrigeration state fluctuation amplitude is used to measure the operation stability of the expansion valve. Next, it is determined whether the refrigeration state fluctuation amplitude is greater than or equal to the preset refrigeration operation fluctuation threshold. If the judgment is no, that is, it is determined that the refrigeration state fluctuation amplitude is less than the preset refrigeration operation fluctuation threshold, it means that the working fluctuation of the expansion valve is within the normal fluctuation range, so a normal operation instruction is generated, and the refrigeration system is controlled to continue to operate and continue to refrigerate according to the normal operation instruction. If the judgment is yes, that is, it is judged that the refrigeration state fluctuation amplitude is greater than or equal to the preset refrigeration operation fluctuation threshold, then it means that the working state fluctuation of the expansion valve is large and exceeds the preset normal value, so it is necessary to first judge whether the expansion valve itself is faulty, by self-checking the expansion valve, and judging whether the operation of the expansion valve meets the preset qualified working standards based on the self-check operation data during the self-check process. If it is judged that the qualified working standards are not met, it means that the expansion valve itself may have a fault or a potential fault, which causes its working state to fluctuate greatly. At this time, the expansion valve needs to be inspected and repaired, so a shutdown and maintenance instruction is generated, and the refrigeration system is controlled to suspend work according to the shutdown and maintenance instruction. After the suspension, the refrigeration system management personnel will inspect the expansion valve.If it is determined that the operation of the expansion valve meets the preset qualified working standards, it means that the expansion valve itself has no fault problems at this time, and it is possible that other components have problems and thus affect the expansion valve, so other components need to be checked, by obtaining the refrigeration component to be evaluated corresponding to the expansion valve, and obtaining the operation data to be evaluated of the refrigeration component to be evaluated, the refrigeration component to be evaluated is a component in the refrigeration system that has an associated relationship with the expansion valve, and then generating operation interference data of the refrigeration component to be evaluated on the expansion valve based on the operation data to be evaluated, the operation interference data is used to represent the impact of the operation of the refrigeration component to be evaluated on the expansion valve, and then, judging whether the refrigeration component to be evaluated interferes with the expansion valve is judged by the operation interference data, and if it is judged to be yes, it means that it is due to The existence of a problem in the refrigeration component to be evaluated affects the expansion valve, causing a large fluctuation in the working state of the expansion valve, thereby generating an interference component maintenance indication, and repairing the refrigeration system according to the interference component maintenance indication. Therefore, the present invention detects the working state of the expansion valve, a core component in the refrigeration system, and analyzes its working fluctuations to avoid the problem of untimely maintenance due to fixed maintenance, and also avoids the problem of easily causing downtime losses and damage to other components due to a fault problem. It also judges whether the fluctuation is caused by the influence of other matching components under the premise that the expansion valve itself is normal, thereby realizing an operation monitoring and configuration mode with the expansion valve as the core monitoring point and other components as auxiliary monitoring points, thereby ensuring the stable operation of the refrigeration system.

[0078] In another embodiment, in step S100, generating the refrigeration state fluctuation amplitude of the expansion valve according to the refrigeration operation process data includes:

[0079] Step S110: extracting expansion valve control data, expansion valve outlet pressure data, expansion valve temperature data and expansion valve flow data of the expansion valve according to the refrigeration operation process data;

[0080] Step S120: classifying the expansion valve control data according to the control parameters, and generating a plurality of parameter control data segments, wherein the expansion valve control parameters in each parameter control data segment are the same, the number of expansion valve control parameters in the parameter control data segment is the same parameter number, and one parameter control data segment corresponds to one same parameter number;

[0081] Step S130: comparing the numbers of the same parameters, and setting the parameter control data segment corresponding to the number of the same parameters with the largest value as the parameter control data segment to be evaluated, wherein the expansion valve control parameters in the parameter control data segment to be evaluated are the control parameters to be evaluated, each of the control parameters to be evaluated corresponds to an opening control time period, and the number of the control parameters to be evaluated is n;

[0082] Step S140: extracting the outlet pressure data to be evaluated of each of the control parameters to be evaluated in the corresponding opening control time period from the outlet pressure data of the expansion valve, and generating an outlet pressure mean value according to the outlet pressure data to be evaluated;

[0083] In this step, when extracting the outlet pressure data to be evaluated, the data is extracted from the outlet pressure data of the expansion valve according to the opening control time period. For example, if the first opening control time period is t1-t2, the data in the time period t1-t2 is extracted from the outlet pressure data of the expansion valve, which is the first outlet pressure data to be evaluated. If the second opening control time period is t3-t4, the data in the time period t3-t4 is extracted from the outlet pressure data of the expansion valve, which is the second outlet pressure data to be evaluated.

[0084] There are a total of n control parameters to be evaluated, corresponding to n opening control time periods, and therefore n outlet pressure data to be evaluated. Each outlet pressure data to be evaluated corresponds to an outlet pressure mean, that is, a total of n outlet pressure means, each outlet pressure mean is represented by Poj, where j=1...n.

[0085] The calculation method of an outlet pressure mean corresponding to the outlet pressure data to be evaluated is as follows:

[0086] The outlet pressure data to be evaluated is sampled within the opening control time period at a preset sampling time point, and a plurality of single outlet pressure values ​​are obtained, and the average value of each single outlet pressure value is calculated to generate an outlet pressure mean value, wherein the time lengths between adjacent sampling time points are the same.

[0087] Step S150: extracting inlet and outlet temperature data of each of the control parameters to be evaluated in the corresponding opening control time period from the expansion valve temperature data, and generating an inlet and outlet temperature difference mean value according to the inlet and outlet temperature data;

[0088] In this step, when extracting the inlet and outlet temperature data, it is extracted from the expansion valve temperature data according to the opening time period. Similarly, taking the first opening control time period as t1-t2 as an example, the inlet and outlet temperature data in the time period t1-t2 is extracted, which is the first inlet and outlet temperature data. Similarly, n inlet and outlet temperature data can be extracted.

[0089] Data collection is performed for each of the inlet and outlet temperature data according to the sampling time point, and one sampling time point corresponds to a single outlet temperature value and a single inlet temperature value. The difference between the two can be calculated to generate a single inlet and outlet temperature difference value, and the average value of the inlet and outlet temperature difference is generated after calculating the average value of each of the single inlet and outlet temperature differences.

[0090] A total of n inlet and outlet temperature data correspond to n inlet and outlet temperature difference averages, and each of the inlet and outlet temperature difference averages is represented by Toj, where j=1...n.

[0091] Step S160: extracting refrigerant flow rate data of each control parameter to be evaluated in a corresponding opening control time period from the expansion valve flow data, and generating a refrigerant flow rate mean value according to each refrigerant flow rate data;

[0092] In this step, the refrigerant flow rate data is extracted from the expansion valve flow data according to each opening control time period, and n opening control time periods correspond to n refrigerant flow rate data.

[0093] After obtaining the refrigerant flow rate data, data collection is performed according to the sampling time point, one sampling time point corresponds to a refrigerant sampling flow rate, and the average value of each refrigerant sampling flow rate is calculated to generate the refrigerant flow rate mean.

[0094] That is, one refrigerant flow rate data corresponds to one refrigerant flow rate average value, and n refrigerant flow rate data correspond to n refrigerant flow rate average values. The refrigerant flow rate average value is represented by Vaj, where j=1...n.

[0095] Step S170: Generate the refrigeration state fluctuation amplitude of the expansion valve based on the following formula according to the outlet pressure average, the inlet and outlet temperature difference average and the refrigerant flow rate average:

[0096] ;

[0097] Among them, FA is the fluctuation amplitude of the cooling state, is the pressure proportionality coefficient, n is the number of control parameters to be evaluated, Poj is the mean outlet pressure of the jth outlet pressure data to be evaluated, is the temperature proportionality coefficient, Toj is the mean inlet and outlet temperature difference of the jth inlet and outlet temperature data, is the flow rate proportional coefficient, and Vaj is the mean refrigerant flow rate of the jth refrigerant flow rate data.

[0098] In this step, the pressure proportionality coefficient , Temperature proportionality coefficient and velocity proportionality factor It is a preset proportional coefficient, which respectively represents the weight of pressure, temperature and flow rate in measuring the working stability of the expansion valve, and is generally set by those skilled in the art according to actual conditions. For example, it is set according to the anti-interference ability of different types of expansion valves to pressure, temperature and flow rate, and this application does not make specific limitations on this.

[0099] In this embodiment, in order to accurately measure whether the working fluctuation of the expansion valve is too large, the outlet pressure, inlet and outlet temperatures and refrigerant flow rate of the expansion valve are evaluated from three dimensions, and a refrigeration state fluctuation amplitude representing the state fluctuation size of the expansion valve when it is working is generated. Specifically, the expansion valve control data, expansion valve outlet pressure data, expansion valve temperature data and expansion valve flow data of the expansion valve are first extracted according to the refrigeration operation process data.

[0100] Then, in order to improve the accuracy of fluctuation assessment, it is necessary to ensure that other data are evaluated under the condition of the same control parameters. Specifically, the expansion valve control data is first classified according to the control parameters, and multiple parameter control data segments are generated, wherein the expansion valve control parameters in each parameter control data segment are the same. The number of expansion valve control parameters in the parameter control data segment is the same number of parameters, and one parameter control data segment corresponds to one same number of parameters. Among them, the expansion valve control data contains multiple expansion control parameters in time sequence. For example, the expansion control parameter in the time period t1-t2 is the first control parameter, the expansion control parameter in the time period t2-t3 is the second control parameter, the expansion control parameter in the time period t3-t4 is the third control parameter, the expansion control parameter in the time period t4-t5 is the fourth control parameter, and the expansion control parameter in the time period t5-t6 is the sixth control parameter, and so on. During classification, if the first control parameter, the third control parameter and the sixth control parameter are the same, the expansion control parameters corresponding to the first control parameter, the third control parameter and the sixth control parameter are a parameter control data segment. The corresponding number of same parameters is 3.

[0101] Then, the number of the same parameters is compared, and the parameter control data segment corresponding to the number of the same parameters with the largest value is set as the parameter control data segment to be evaluated, wherein the expansion valve control parameter in the parameter control data segment to be evaluated is the control parameter to be evaluated. In this way, the largest number of the same control parameters can be screened out, and then data analysis is performed based on this as a reference, so as to achieve analysis based on the largest sample and improve the accuracy of the analysis. At the same time, the analysis is performed on the basis of the same control parameters, which reduces the problem of inaccurate analysis caused by different control factors and achieves the accuracy of fluctuation analysis.

[0102] Next, the outlet pressure data to be evaluated of each control parameter to be evaluated in the corresponding opening control time period is extracted from the expansion valve outlet pressure data, and an outlet pressure mean is generated based on the outlet pressure data to be evaluated. Then, the inlet and outlet temperature data of each control parameter to be evaluated in the corresponding opening control time period is extracted from the expansion valve temperature data, and an inlet and outlet temperature difference mean is generated based on the inlet and outlet temperature data. Next, the refrigerant flow rate data of each control parameter to be evaluated in the corresponding opening control time period is extracted from the expansion valve flow rate data, and a refrigerant flow rate mean is generated based on each refrigerant flow rate data. Finally, the refrigeration state fluctuation amplitude of the expansion valve is generated.

[0103] In another embodiment, the method further comprises the step of setting a current refrigeration task, comprising:

[0104] Step S010: obtaining a refrigeration setting operation of a refrigeration operation subject for setting a refrigeration task;

[0105] Step S020: acquiring a basic setting task of the refrigeration operation subject according to the refrigeration setting operation;

[0106] Step S030: In response to the cooling setting operation, detecting basic environmental information of the environment where the cooling operation subject is located, and generating cooling setting suggestions according to the basic environmental information;

[0107] Step S040: presenting the refrigeration setting suggestion to the refrigeration operation subject, and obtaining task modification data of the basic setting task by the refrigeration operation subject according to the refrigeration setting suggestion;

[0108] Step S050: modifying the basic setting task according to the task modification data, and setting the current refrigeration task after the modification is completed.

[0109] In this embodiment, when the refrigeration operation subject needs to set the refrigeration task, the refrigeration task needs to be set on the electronic screen. When setting, the refrigeration setting operation of the refrigeration operation subject for setting the refrigeration task can be obtained, and the basic setting task of the refrigeration operation subject is obtained according to the refrigeration setting operation. Generally speaking, the general user's operation is to directly set the refrigeration without considering the environmental information of the environment in which the user is located, such as the air is relatively dirty or humid. Taking the air pollution as an example, although direct refrigeration can reduce the temperature, it is easy to cause the dirty air to be inhaled, causing discomfort. Therefore, the present application also provides a step of detecting the basic environmental information of the environment in which the refrigeration operation subject is located in response to the refrigeration setting operation, and generating a refrigeration setting suggestion according to the basic environmental information. By pre-setting a sensor for detecting air quality, air humidity, etc. in the environment in which the refrigeration operation subject is located, it is achieved by detecting the basic environmental information when setting the task, and comparing the basic environmental information with the preset healthy environmental information, and generating a refrigeration setting suggestion according to the comparison result. For example, the refrigeration setting suggestion includes: turning on the dehumidification mode before refrigeration, or turning on the ventilation mode for 10 minutes before refrigeration, which is conducive to cleaning the air in the environment in which the refrigeration operation subject is located and achieving a better refrigeration effect. Next, the refrigeration setting suggestion is displayed to the refrigeration operation subject, and task modification data of the basic setting task according to the refrigeration setting suggestion is obtained; the task modification data includes modification mode, adjustment parameters, adjustment time, etc. Finally, the basic setting task is modified according to the task modification data, and the current refrigeration task is set after the modification is completed, so as to ensure more efficient and healthy refrigeration when the current refrigeration task is subsequently executed.

[0110] In another embodiment, in step S200, the expansion valve is self-checked, and judging whether the operation of the expansion valve meets the qualified working standard according to the self-checking operation data in the self-checking process includes:

[0111] Step S210: acquiring expansion valve control data of the expansion valve;

[0112] Step S220: Compare each expansion valve control parameter in the expansion valve control data with each standard excitation control parameter in the pre-stored standard excitation data, and select the same parameter group, wherein the same parameter group includes expansion valve control parameters and standard excitation control parameters with the same parameters, and each of the standard excitation control parameters corresponds to a standard feedback valve port flow value range;

[0113] Step S230: generating a self-check excitation test instruction according to the standard excitation control parameters in the same parameter group;

[0114] Step S240: controlling the expansion valve to operate according to the self-test excitation test instruction, and collecting self-test operation data of the expansion valve;

[0115] Step S250: According to the self-test operation data, an actual feedback valve port flow value is generated based on the following formula:

[0116] ;

[0117] Among them, Ym is the actual feedback valve port flow value, π is the pi, d is the valve port diameter of the expansion valve, SZ is the valve port opening of the expansion valve, is the density of the refrigerant flowing through the expansion valve, Pin is the inlet pressure of the expansion valve, and Pout is the outlet pressure of the expansion valve;

[0118] In this embodiment, the valve port diameter of the expansion valve, the valve port opening of the expansion valve, the density of the refrigerant flowing through the expansion valve, the inlet pressure of the expansion valve and Pin, which is the outlet pressure of the expansion valve, are all extracted from the self-test operation data.

[0119] Step S260: determining whether the actual feedback valve port flow value is within the standard feedback valve port flow value range;

[0120] Step S270: If the answer is yes, then it is determined that the operation of the expansion valve meets the qualified working standard;

[0121] Step S280: If the judgment is no, it is determined that the operation of the expansion valve does not meet the qualified working standard.

[0122] In the present embodiment, firstly, in order to prevent the use of too high or too low excitation from affecting the operation of the expansion valve or damaging the expansion valve, the control parameters that have been executed by the expansion valve are screened out, so as not to affect the execution of the current refrigeration task. Specifically, the expansion valve control data of the expansion valve is first obtained, and then each expansion valve control parameter in the expansion valve control data is compared with each standard excitation control parameter in the pre-stored standard excitation data, and the same parameter group is screened out, wherein the same parameter group includes expansion valve control parameters and standard excitation control parameters with the same parameters, and each of the standard excitation control parameters corresponds to a standard feedback valve port flow value range, so that the expansion valve is excited by the screened standard excitation control parameters. The reason for not using historical data is: through the current re-control, the latest operating data is obtained to achieve the latest accurate judgment.

[0123] After applying the excitation, the expansion valve is subjected to data collection and self-test operation data is obtained, and the current actual feedback valve port flow value is calculated based on the self-test operation data. The actual feedback valve port flow value indicates the ability of the expansion valve to stably control the passage of the refrigerant under the current excitation, or it can be understood that the actual feedback valve port flow value is used to indicate the ability of the expansion valve to accurately control the refrigerant flow process when the refrigerant passes through the expansion valve. If the value is within the preset normal range, it means that the control ability of the current expansion valve is normal, that is, the current expansion valve is fault-free, otherwise it is faulty. Specifically, it is determined whether the actual feedback valve port flow value is within the standard feedback valve port flow value range. When it is determined that the actual feedback valve port flow value is within the standard feedback valve port flow value range, it means that there is no problem with the expansion valve itself, and it is determined that the operation of the expansion valve meets the qualified working standard. When it is determined that the actual feedback valve port flow value is not within the standard feedback valve port flow value range, it means that the operation of the expansion valve does not meet the qualified working standards. At this time, the expansion valve needs to be repaired, so a shutdown maintenance instruction is generated, and the refrigeration system is controlled to suspend work according to the shutdown maintenance instruction. After the suspension, the refrigeration system manager will repair the expansion valve.

[0124] In another embodiment, step S300: if it is determined that the operation of the expansion valve meets the qualified working standard, obtaining the refrigeration component to be evaluated corresponding to the expansion valve, and obtaining the operation data to be evaluated of the refrigeration component to be evaluated; including:

[0125] Step S310: if it is determined that the operation of the expansion valve meets the qualified working standard, then obtaining the historical usage data of the expansion valve;

[0126] Step S320: Acquire the historical working time of the expansion valve according to the historical usage data;

[0127] Step S330: generating an interference extension range according to the historical working time;

[0128] Step S340: acquiring the refrigeration component to be evaluated corresponding to the expansion valve according to the interference extension range, and acquiring the operating data to be evaluated of the refrigeration component to be evaluated.

[0129] In this embodiment, when it is determined that the operation of the expansion valve meets the qualified working standard, it has been explained that there is no problem with the expansion valve, so it is necessary to determine whether the working state fluctuates due to interference from other components, so it is necessary to first screen the components that may interfere with the expansion valve, specifically, first obtain the historical usage data of the expansion valve; the historical usage data is the recorded working data of the expansion valve, and then extract the historical working time of the expansion valve from the historical usage data. Based on the principle that the longer the use time, the greater the wear and the weaker the anti-interference ability, after obtaining the historical working time, the historical working time is compared with the pre-stored interference range data, and the interference range data includes the standard working time and the corresponding standard interference range, and the standard interference range corresponding to the standard working time that is the same or similar to the historical working time is set as the interference extension range. Then, according to the interference extension range, the refrigeration component to be evaluated corresponding to the expansion valve in the interference extension range of the refrigeration system is obtained, and the operation data to be evaluated of the refrigeration component to be evaluated is obtained.

[0130] In another embodiment, the operation data to be evaluated includes own operation data and external interference data;

[0131] Step S400: generating operation interference data of the refrigeration component to be evaluated on the expansion valve according to the operation data to be evaluated, and judging whether the refrigeration component to be evaluated interferes with the expansion valve according to the operation interference data; if the judgment is yes, generating an interference component maintenance indication, and repairing the refrigeration system according to the interference component maintenance indication, including:

[0132] Step S410: judging whether the operation of the refrigeration component to be evaluated complies with the normal operating state according to the operation data to be evaluated in the operation data to be evaluated;

[0133] Step S420: if the judgment is no, a refrigeration component maintenance configuration instruction is generated, the refrigeration system is controlled to shut down according to the refrigeration component maintenance configuration instruction, and a refrigeration system manager is instructed to repair the refrigeration component to be evaluated;

[0134] In this step, when it is necessary to determine whether other refrigeration components affect the expansion valve, it is necessary to first determine whether other refrigeration components are operating normally, or it can be understood that it is necessary to first determine whether other refrigeration components are damaged. If it is determined to be damaged, it is necessary to inspect and repair other refrigeration components. Specifically, the self-operation data is the data generated during the operation of the refrigeration component to be evaluated. When judging whether there is a problem with the refrigeration component to be evaluated, the similarity between the corresponding self-operation data and the pre-stored normal operation data of the refrigeration component to be evaluated is compared, and if the similarity between the two is greater than the qualified similarity threshold, it means that there is a problem with itself. That is, it is judged that the operation of the refrigeration component to be evaluated does not conform to the normal operating state, and a refrigeration component maintenance configuration instruction is generated at this time. The refrigeration system is controlled to shut down according to the refrigeration component maintenance configuration instruction, and the refrigeration system management personnel are instructed to inspect the refrigeration component to be evaluated.

[0135] If the similarity between the two is less than or equal to a preset qualified similarity threshold, it is judged that the refrigeration component to be evaluated is normal, that is, it is judged that the operation of the refrigeration component to be evaluated meets the normal operating state. At this time, it is necessary to judge whether the interference caused by the refrigeration component to be evaluated on the expansion valve during operation is the factor that causes the large fluctuation in the operation of the expansion valve.

[0136] Step S430: If the judgment is yes, extracting interference path data and operation vibration data from the external interference data in the operation data to be evaluated, wherein one refrigeration component to be evaluated corresponds to one interference path data and one operation vibration data;

[0137] In this step, the interference path data is data related to the vibration transmission between the refrigeration component to be evaluated and the expansion valve, and the motion vibration data is data related to the vibration generated by the refrigeration component to be evaluated during operation.

[0138] Step S440: extracting a vibration conduction path and a vibration conduction medium according to the interference path data, obtaining a vibration conduction distance and a conduction bending path according to the vibration conduction path, and obtaining a conduction medium coefficient according to the vibration conduction medium;

[0139] In this step, the vibration conduction path is the path for conducting vibration between the refrigeration component to be evaluated and the expansion valve. Taking the refrigeration component to be evaluated as a solenoid valve as an example, the vibration conduction path between the two is the path formed by the pipe between the two. Taking the refrigeration component to be evaluated as a sight glass as an example, the vibration conduction path between the two is also the path formed by the pipe between the two. Vibration conduction media include pipes, air, etc. Different vibration conduction media are pre-set with corresponding different conduction medium coefficients. The conduction medium coefficient is determined by the material, elasticity, and damping of the vibration conduction medium itself, which reflects the strength of the vibration conduction medium itself to vibration conduction.

[0140] Step S450: generating a bent conductive added path according to the conductive bent path;

[0141] In this step, taking the pipeline as the conduction medium as an example, the bend will increase the pipeline area to improve the stability of the bend, and the larger the cross-sectional area of ​​the bend, the more the vibration conduction is attenuated. The bend is the conduction bend path, and the number of the conduction bend paths is multiple.

[0142] After obtaining each of the conductive bending paths, first calculate the bending cross-sectional area of ​​each of the conductive bending paths according to the data of the pipeline in the record of the installed pipeline, then calculate the straight cross-sectional area of ​​the straight pipeline, respectively calculate the cross-sectional area difference between each of the bent cross-sectional areas and the straight cross-sectional area, then calculate the average value of each of the cross-sectional area differences, record the average value as the cross-sectional area average value, then divide the cross-sectional area average value by the number of the conductive bending paths, and record the result as the bending loss coefficient.

[0143] Next, the bending loss coefficient is multiplied by the vibration conduction distance, and the result is set as the bending conduction increase path.

[0144] Step S460: extracting the average vibration amplitude and the average vibration frequency of the refrigeration component to be evaluated according to the operation vibration data;

[0145] In this step, the motion vibration data includes real-time vibration amplitudes and real-time vibration frequencies corresponding to multiple detection time points. The average vibration amplitude can be generated by calculating the average value based on the real-time vibration amplitudes, and the average vibration frequency can be generated by calculating the average value of multiple real-time vibration frequencies.

[0146] Step S470: generating a vibration conduction interference value according to the vibration conduction distance, the conduction medium coefficient, the bending conduction increased path, the average vibration amplitude and the average vibration frequency;

[0147] Step S480: determining whether the vibration conduction interference value is greater than or equal to a preset vibration interference threshold value; if the determination is no, generating a continuous monitoring instruction, and continuously monitoring the refrigeration system according to the continuous monitoring instruction;

[0148] Step S490: If the answer is yes, determine whether the refrigeration component to be evaluated interferes with the expansion valve, generate an interference component maintenance indication, and perform maintenance on the refrigeration system according to the interference component maintenance indication.

[0149] In this embodiment, by presetting the vibration interference threshold, when generating the vibration conduction interference value, it is determined whether the vibration conduction interference value is greater than or equal to the preset vibration interference threshold. If it is determined to be no, it means that the vibration from each of the refrigeration components to be evaluated is not the cause of the fluctuation in the operation of the expansion valve. Therefore, in order to prevent other components from being damaged and other problems in the future, it is necessary to strengthen monitoring. Therefore, a continuous monitoring instruction is generated, and the refrigeration system is continuously monitored according to the continuous monitoring instruction. If it is determined to be yes, it is determined that the refrigeration component to be evaluated interferes with the expansion valve, an interference component maintenance instruction is generated, and the refrigeration system is repaired according to the interference component maintenance instruction. At this time, it is determined that the expansion valve is affected by other refrigeration components.

[0150] It should be noted that the expansion valve in the present application is an electronic expansion valve.

[0151] In another embodiment, the vibration conduction disturbance value is generated based on the following formula:

[0152] ;

[0153] Among them, Dr is the vibration conduction interference value, M is the number of refrigeration components to be evaluated, Cmk is the conduction medium coefficient corresponding to the vibration conduction medium between the kth refrigeration component to be evaluated and the expansion valve, Lsk is the vibration conduction distance between the kth refrigeration component to be evaluated and the expansion valve, Lrk is the bending conduction increased path between the kth refrigeration component to be evaluated and the expansion valve, AFk is the average vibration amplitude of the kth refrigeration component to be evaluated, and FHk is the average vibration frequency of the kth refrigeration component to be evaluated.

[0154] In another embodiment, if Figure 2 As shown, a refrigeration system intelligent operation configuration system is also provided, the system comprising:

[0155] A refrigeration fluctuation generating module, used for acquiring refrigeration operation process data when an expansion valve in a refrigeration system performs a current refrigeration task, and generating a refrigeration state fluctuation amplitude of the expansion valve according to the refrigeration operation process data;

[0156] A self-check control judgment module, used to judge whether the fluctuation amplitude of the refrigeration state is greater than or equal to a preset refrigeration operation fluctuation threshold value, and if it is judged to be yes, to perform a self-check on the expansion valve, and to judge whether the operation of the expansion valve meets the qualified working standard according to the self-check operation data in the self-check process;

[0157] A related data acquisition module, for acquiring the refrigeration component to be evaluated corresponding to the expansion valve and acquiring the operation data to be evaluated of the refrigeration component to be evaluated if it is determined that the operation of the expansion valve meets the qualified working standard;

[0158] An associated interference judgment module is used to generate operation interference data of the refrigeration component to be evaluated on the expansion valve based on the operation data to be evaluated, and to judge whether the refrigeration component to be evaluated interferes with the expansion valve based on the operation interference data; if the judgment is yes, an interfering component maintenance indication is generated, and the refrigeration system is repaired according to the interfering component maintenance indication.

[0159] In another embodiment, the refrigeration fluctuation generation module is also used to: extract the expansion valve control data, expansion valve outlet pressure data, expansion valve temperature data and expansion valve flow data of the expansion valve according to the refrigeration operation process data; classify the expansion valve control data according to the control parameters, and generate multiple parameter control data segments, wherein the expansion valve control parameters in each of the parameter control data segments are the same, the number of expansion valve control parameters in the parameter control data segment is the same parameter number, and one parameter control data segment corresponds to one same parameter number; compare the same parameter numbers, and set the parameter control data segment corresponding to the same parameter number with the largest value as the parameter control data segment to be evaluated, wherein the expansion valve control parameters in the parameter control data segment to be evaluated are the control parameters to be evaluated, and each of the control parameters to be evaluated is For an opening control time period, the number of control parameters to be evaluated is n; the outlet pressure data to be evaluated of each control parameter to be evaluated in the corresponding opening control time period is extracted from the expansion valve outlet pressure data, and the outlet pressure mean is generated according to the outlet pressure data to be evaluated; the inlet and outlet temperature data of each control parameter to be evaluated in the corresponding opening control time period is extracted from the expansion valve temperature data, and the inlet and outlet temperature difference mean is generated according to the inlet and outlet temperature data; the refrigerant flow rate data of each control parameter to be evaluated in the corresponding opening control time period is extracted from the expansion valve flow rate data, and the refrigerant flow rate mean is generated according to each refrigerant flow rate data; according to the outlet pressure mean, the inlet and outlet temperature difference mean and the refrigerant flow rate mean, the refrigeration state fluctuation amplitude of the expansion valve is generated based on the following formula:

[0160] ;

[0161] Among them, FA is the fluctuation amplitude of the cooling state, is the pressure proportionality coefficient, n is the number of control parameters to be evaluated, Poj is the mean outlet pressure of the jth outlet pressure data to be evaluated, is the temperature proportionality coefficient, Toj is the mean inlet and outlet temperature difference of the jth inlet and outlet temperature data, is the flow rate proportional coefficient, and Vaj is the mean refrigerant flow rate of the jth refrigerant flow rate data.

[0162] In another embodiment, the refrigeration fluctuation generation module is also used to: obtain a refrigeration setting operation for a refrigeration operating subject to set a refrigeration task; obtain a basic setting task of the refrigeration operating subject according to the refrigeration setting operation; detect basic environmental information of the environment in which the refrigeration operating subject is located in response to the refrigeration setting operation, and generate a refrigeration setting suggestion based on the basic environmental information; display the refrigeration setting suggestion to the refrigeration operating subject, and obtain task modification data of the basic setting task by the refrigeration operating subject according to the refrigeration setting suggestion; modify the basic setting task according to the task modification data, and set the current refrigeration task after the modification is completed.

[0163] In another embodiment, the self-check control judgment module is further used to: obtain the expansion valve control data of the expansion valve; compare each expansion valve control parameter in the expansion valve control data with each standard excitation control parameter in the pre-stored standard excitation data, and filter out the same parameter group, wherein the same parameter group contains expansion valve control parameters and standard excitation control parameters with the same parameters, and each of the standard excitation control parameters corresponds to a standard feedback valve port flow value range; generate a self-check excitation test instruction according to the standard excitation control parameters in the same parameter group; control the expansion valve to work according to the self-check excitation test instruction, and collect the self-check operation data of the expansion valve; and generate an actual feedback valve port flow value based on the following formula according to the self-check operation data:

[0164] ;

[0165] Among them, Ym is the actual feedback valve port flow value, π is the pi, d is the valve port diameter of the expansion valve, SZ is the valve port opening of the expansion valve, is the density of the refrigerant flowing through the expansion valve, Pin is the inlet pressure of the expansion valve, and Pout is the outlet pressure of the expansion valve; it is determined whether the actual feedback valve port flow value is within the standard feedback valve port flow value range; if it is determined to be yes, it is determined that the operation of the expansion valve meets the qualified working standards; if it is determined to be no, it is determined that the operation of the expansion valve does not meet the qualified working standards.

[0166] In another embodiment, the associated data acquisition module is also used for: if it is judged that the operation of the expansion valve meets the qualified working standards, then obtaining the historical usage data of the expansion valve; obtaining the historical working time of the expansion valve according to the historical usage data; generating an interference extension range according to the historical working time; obtaining the refrigeration component to be evaluated corresponding to the expansion valve according to the interference extension range, and obtaining the operation data to be evaluated of the refrigeration component to be evaluated.

[0167] In another embodiment, the operating data to be evaluated includes its own operating data and external interference data; the associated interference judgment module is also used to: judge whether the operation of the refrigeration component to be evaluated meets the normal operating state according to the operating data to be evaluated in the operating data to be evaluated; if the judgment is no, generate a refrigeration component maintenance configuration instruction, control the refrigeration system to shut down according to the refrigeration component maintenance configuration instruction, and instruct the refrigeration system management personnel to repair the refrigeration component to be evaluated; if the judgment is yes, extract interference path data and operation vibration data from the external interference data in the operating data to be evaluated, wherein one refrigeration component to be evaluated corresponds to one interference path data and one operation vibration data; extract the vibration conduction path and the vibration conduction medium according to the interference path data, and The guide path obtains the vibration conduction distance and the conduction bending path, and obtains the conduction medium coefficient according to the vibration conduction medium; generates a bending conduction increase path according to the conduction bending path; extracts the average vibration amplitude and the average vibration frequency of the refrigeration component to be evaluated according to the operating vibration data; generates a vibration conduction interference value according to the vibration conduction distance, the conduction medium coefficient, the bending conduction increase path, the average vibration amplitude and the average vibration frequency; determines whether the vibration conduction interference value is greater than or equal to a preset vibration interference threshold value, and if it is determined to be negative, generates a continuous monitoring instruction, and continuously monitors the refrigeration system according to the continuous monitoring instruction; if it is determined to be positive, determines that the refrigeration component to be evaluated interferes with the expansion valve, generates an interfering component maintenance instruction, and repairs the refrigeration system according to the interfering component maintenance instruction.

[0168] In another embodiment, the associated interference judgment module is further used to generate a vibration conduction interference value based on the following formula:

[0169] ;

[0170] Among them, Dr is the vibration conduction interference value, M is the number of refrigeration components to be evaluated, Cmk is the conduction medium coefficient corresponding to the vibration conduction medium between the kth refrigeration component to be evaluated and the expansion valve, Lsk is the vibration conduction distance between the kth refrigeration component to be evaluated and the expansion valve, Lrk is the bending conduction increased path between the kth refrigeration component to be evaluated and the expansion valve, AFk is the average vibration amplitude of the kth refrigeration component to be evaluated, and FHk is the average vibration frequency of the kth refrigeration component to be evaluated.

[0171] In one embodiment, a computer device is further provided, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps described in the above-mentioned refrigeration system intelligent operation configuration method when executing the computer program.

[0172] In one embodiment, a computer-readable storage medium is further provided, on which a computer program is stored. When the computer program is executed by a processor, the steps described in the above-mentioned refrigeration system intelligent operation configuration method are implemented.

[0173] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0174] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, 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.

[0175] The above-mentioned embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the invention patent. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the attached claims.

Claims

1. A method for configuring intelligent operation of a refrigeration system, characterized in that: The method comprises: Acquire refrigeration operation process data of an expansion valve in a refrigeration system when performing a current refrigeration task, and generate a refrigeration state fluctuation amplitude of the expansion valve according to the refrigeration operation process data; Determine whether the refrigeration state fluctuation amplitude is greater than or equal to a preset refrigeration operation fluctuation threshold value; if so, perform a self-inspection on the expansion valve, and determine whether the operation of the expansion valve meets the qualified working standard according to the self-inspection operation data during the self-inspection process; If it is determined that the operation of the expansion valve meets the qualified working standard, obtaining the refrigeration component to be evaluated corresponding to the expansion valve, and obtaining the operation data to be evaluated of the refrigeration component to be evaluated; Generate operation interference data of the refrigeration component to be evaluated on the expansion valve according to the operation data to be evaluated, and judge whether the refrigeration component to be evaluated interferes with the expansion valve according to the operation interference data; if it is judged to be yes, generate an interference component maintenance indication, and repair the refrigeration system according to the interference component maintenance indication; The operation interference data is data used to represent the impact of the operation of the refrigeration component to be evaluated on the expansion valve; If it is determined that the operation of the expansion valve meets the qualified working standard, the refrigeration component to be evaluated corresponding to the expansion valve is obtained, and the operation data to be evaluated of the refrigeration component to be evaluated is obtained; including: If it is determined that the operation of the expansion valve meets the qualified working standard, obtaining the historical usage data of the expansion valve; Acquire the historical working time of the expansion valve according to the historical usage data; generating an interference extension range according to the historical working duration; The refrigeration component to be evaluated corresponding to the expansion valve is acquired according to the interference extension range, and the operating data to be evaluated of the refrigeration component to be evaluated is acquired.

2. The refrigeration system intelligent operation configuration method according to claim 1, characterized in that: Generating the refrigeration state fluctuation amplitude of the expansion valve according to the refrigeration operation process data includes: Extracting expansion valve control data, expansion valve outlet pressure data, expansion valve temperature data and expansion valve flow data of the expansion valve according to the refrigeration operation process data; Classifying the expansion valve control data according to control parameters and generating a plurality of parameter control data segments, wherein the expansion valve control parameters in each parameter control data segment are the same, the number of expansion valve control parameters in the parameter control data segment is the same number of parameters, and one parameter control data segment corresponds to one same number of parameters; Compare the numbers of the same parameters, and set the parameter control data segment corresponding to the number of the same parameters with the largest value as the parameter control data segment to be evaluated, wherein the expansion valve control parameters in the parameter control data segment to be evaluated are the control parameters to be evaluated, each of the control parameters to be evaluated corresponds to an opening control time period, and the number of the control parameters to be evaluated is n; Extracting the outlet pressure data to be evaluated of each of the control parameters to be evaluated in the corresponding opening control time period from the expansion valve outlet pressure data, and generating an outlet pressure mean value according to the outlet pressure data to be evaluated; Extracting inlet and outlet temperature data of each of the control parameters to be evaluated within a corresponding opening control time period from the expansion valve temperature data, and generating an inlet and outlet temperature difference mean value according to the inlet and outlet temperature data; Extracting refrigerant flow rate data of each control parameter to be evaluated within a corresponding opening control time period from the expansion valve flow data, and generating a refrigerant flow rate mean value according to each refrigerant flow rate data; According to the average value of the outlet pressure, the average value of the inlet and outlet temperature difference and the average value of the refrigerant flow rate, the refrigeration state fluctuation amplitude of the expansion valve is generated based on the following formula: ； Among them, FA is the fluctuation amplitude of the cooling state, is the pressure proportionality coefficient, n is the number of control parameters to be evaluated, Poj is the mean outlet pressure of the jth outlet pressure data to be evaluated, is the temperature proportionality coefficient, Toj is the mean inlet and outlet temperature difference of the jth inlet and outlet temperature data, is the flow rate proportional coefficient, and Vaj is the mean refrigerant flow rate of the jth refrigerant flow rate data.

3. The refrigeration system intelligent operation configuration method according to claim 2, characterized in that: The method further comprises the step of setting a current refrigeration task, comprising: Acquire a refrigeration setting operation of a refrigeration operation subject to perform refrigeration task setting; Acquire a basic setting task of the refrigeration operation subject according to the refrigeration setting operation; In response to the cooling setting operation, detecting basic environmental information of the environment where the cooling operation subject is located, and generating a cooling setting suggestion according to the basic environmental information; Displaying the refrigeration setting suggestion to the refrigeration operation subject, and obtaining task modification data of the basic setting task by the refrigeration operation subject according to the refrigeration setting suggestion; The basic setting task is modified according to the task modification data, and the current refrigeration task is set after the modification is completed.

4. The refrigeration system intelligent operation configuration method according to claim 2, characterized in that: Performing a self-inspection on the expansion valve and judging whether the operation of the expansion valve meets a qualified working standard according to the self-inspection operation data in the self-inspection process include: acquiring expansion valve control data of the expansion valve; Compare each expansion valve control parameter in the expansion valve control data with each standard excitation control parameter in the pre-stored standard excitation data, and filter out the same parameter group, wherein the same parameter group includes expansion valve control parameters and standard excitation control parameters with the same parameters, and each of the standard excitation control parameters corresponds to a standard feedback valve port flow value range; Generate a self-check excitation test instruction according to the standard excitation control parameters in the same parameter group; Controlling the expansion valve to work according to the self-test excitation test instruction, and collecting self-test operation data of the expansion valve; generating an actual feedback valve port flow value according to the self-test operation data; Determining whether the actual feedback valve port flow value is within the standard feedback valve port flow value range; If the judgment is yes, then it is judged that the operation of the expansion valve meets the qualified working standard; If the judgment is no, it is determined that the operation of the expansion valve does not meet the qualified working standard.

5. The refrigeration system intelligent operation configuration method according to claim 4, characterized in that: The operation data to be evaluated includes its own operation data and external interference data; Generating operation interference data of the refrigeration component to be evaluated on the expansion valve according to the operation data to be evaluated, and judging whether the refrigeration component to be evaluated interferes with the expansion valve according to the operation interference data, and if the judgment is yes, generating an interference component maintenance indication, and repairing the refrigeration system according to the interference component maintenance indication, including: Determining whether the operation of the refrigeration component to be evaluated complies with the normal operating state according to the operation data to be evaluated in the operation data to be evaluated; If the judgment is no, a refrigeration component maintenance configuration instruction is generated, the refrigeration system is controlled to shut down according to the refrigeration component maintenance configuration instruction, and a refrigeration system manager is instructed to repair the refrigeration component to be evaluated; If the judgment is yes, extracting interference path data and operation vibration data from the external interference data in the operation data to be evaluated, wherein one refrigeration component to be evaluated corresponds to one interference path data and one operation vibration data; Extracting a vibration conduction path and a vibration conduction medium according to the interference path data, acquiring a vibration conduction distance and a conduction bending path according to the vibration conduction path, and acquiring a conduction medium coefficient according to the vibration conduction medium; generating a bent conduction increase path according to the conductive bent path; Extracting the average vibration amplitude and the average vibration frequency of the refrigeration component to be evaluated according to the operation vibration data; Generate a vibration conduction interference value based on the vibration conduction distance, conduction medium coefficient, bending conduction increase path, average vibration amplitude and average vibration frequency; Determine whether the vibration conduction interference value is greater than or equal to a preset vibration interference threshold value, and if it is determined to be not, generate a continuous monitoring instruction, and continuously monitor the refrigeration system according to the continuous monitoring instruction; If the answer is yes, it is determined that the refrigeration component to be evaluated interferes with the expansion valve, an interference component maintenance indication is generated, and the refrigeration system is repaired according to the interference component maintenance indication.

6. The refrigeration system intelligent operation configuration method according to claim 5, characterized in that: The vibration conduction disturbance value is generated based on the following formula: ； Among them, Dr is the vibration conduction interference value, M is the number of refrigeration components to be evaluated, Cmk is the conduction medium coefficient corresponding to the vibration conduction medium between the kth refrigeration component to be evaluated and the expansion valve, Lsk is the vibration conduction distance between the kth refrigeration component to be evaluated and the expansion valve, Lrk is the bending conduction increased path between the kth refrigeration component to be evaluated and the expansion valve, AFk is the average vibration amplitude of the kth refrigeration component to be evaluated, and FHk is the average vibration frequency of the kth refrigeration component to be evaluated.

7. A refrigeration system intelligent operation configuration system, characterized in that: The system comprises: A refrigeration fluctuation generating module, used for acquiring refrigeration operation process data when an expansion valve in a refrigeration system performs a current refrigeration task, and generating a refrigeration state fluctuation amplitude of the expansion valve according to the refrigeration operation process data; A self-check control judgment module, used to judge whether the fluctuation amplitude of the refrigeration state is greater than or equal to a preset refrigeration operation fluctuation threshold value, and if it is judged to be yes, to perform a self-check on the expansion valve, and to judge whether the operation of the expansion valve meets the qualified working standard according to the self-check operation data in the self-check process; A related data acquisition module, for acquiring the refrigeration component to be evaluated corresponding to the expansion valve and acquiring the operation data to be evaluated of the refrigeration component to be evaluated if it is determined that the operation of the expansion valve meets the qualified working standard; an associated interference judgment module, configured to generate operation interference data of the refrigeration component to be evaluated on the expansion valve according to the operation data to be evaluated, and to judge whether the refrigeration component to be evaluated interferes with the expansion valve according to the operation interference data; if the judgment is yes, then generate an interference component maintenance indication, and perform maintenance on the refrigeration system according to the interference component maintenance indication; The operation interference data is data used to represent the impact of the operation of the refrigeration component to be evaluated on the expansion valve; The associated data acquisition module is also used to: if it is judged that the operation of the expansion valve meets the qualified working standards, then obtain the historical usage data of the expansion valve; obtain the historical working time of the expansion valve according to the historical usage data; generate an interference extension range according to the historical working time; obtain the refrigeration component to be evaluated corresponding to the expansion valve according to the interference extension range, and obtain the operation data to be evaluated of the refrigeration component to be evaluated.

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