Method, device, equipment and medium for detecting fan fault in refrigeration system

Abstract

The present invention discloses a method, device, equipment and medium for detecting internal fan faults in a refrigeration system, which is applied to the field of internal fan fault detection, including: obtaining evaporation pressure data and internal fan speed data; respectively calculating the minimum quantile, maximum quantile and quantile difference corresponding to the evaporation pressure data and the internal fan speed data; calculating a fault value based on an evaporation pressure score table and an internal fan speed score table, as well as the minimum quantile, maximum quantile and quantile difference corresponding to the evaporation pressure data and the internal fan speed data; and determining whether the internal fan has a fault based on the relationship between the fault value and a preset fault threshold. The present invention selects the evaporation pressure data and internal fan speed data with the strongest correlation with the internal fan fault, uses the maximum quantile and the minimum quantile to select the area that most accurately reflects the overall state of the internal fan, and performs calculations based on the evaporation pressure score table and the internal fan speed score table, so that the detection of internal fan faults in the refrigeration system is more accurate.

Description

Technical Field

[0001] The present invention relates to the field of internal fan fault detection, and in particular to a method, device, equipment and medium for detecting internal fan fault in a refrigeration system. Background Art

[0002] In the related art, a method for detecting a fault in an internal fan of an air-conditioning refrigeration system is to determine whether a fault occurs in the internal fan of the refrigeration system by detecting whether a deviation occurs in the heat exchange temperature difference and the heat exchange amount of the heat exchanger.

[0003] However, in the process of implementing this application, the inventors discovered that the related technology has at least the following problems:

[0004] Internal fan failure is only one factor that can cause deviations in heat exchange temperature difference and heat transfer rate. If other components within the refrigeration system malfunction, these deviations can also be significant. Detecting internal fan failures in a refrigeration system based on parameter changes in the aforementioned techniques can lead to misjudgments and low fault detection accuracy. Summary of the Invention

[0005] In view of this, the present invention provides a method, device, equipment and medium for detecting faults of an internal fan in a refrigeration system, which can improve the accuracy of fault detection of the internal fan.

[0006] To solve the above technical problems, the present invention provides a method for detecting fan faults in a refrigeration system, comprising:

[0007] Obtain evaporation pressure data and internal fan speed data;

[0008] Calculating the minimum quantile, maximum quantile, and quantile difference corresponding to the evaporation pressure data and the internal fan speed data respectively; wherein the quantile difference is the difference between the maximum quantile and the minimum quantile;

[0009] Calculate a fault value according to the evaporation pressure score table and the internal fan speed score table, and the minimum quantile, the maximum quantile, and the quantile difference corresponding to the evaporation pressure data and the internal fan speed data;

[0010] According to the relationship between the fault value and the preset fault threshold, it is determined whether the internal fan has a fault.

[0011] Optionally, obtaining evaporation pressure data and internal fan speed data includes:

[0012] The evaporation pressure data and the internal fan speed data in a stable operation time period are acquired; wherein the stable operation time period does not include an initial time period and an end time period.

[0013] Optionally, respectively calculating the minimum quantile, maximum quantile, and quantile difference corresponding to the evaporation pressure data and the internal fan speed data includes:

[0014] The minimum quintile, the maximum quintile and the quantile difference corresponding to the evaporation pressure data and the internal fan speed data are calculated respectively.

[0015] Optionally, calculating the fault value based on the evaporation pressure score table and the internal fan speed score table, and the minimum quantile, the maximum quantile, and the quantile difference corresponding to the evaporation pressure data and the internal fan speed data, includes:

[0016] Obtain the evaporation pressure score table and the internal fan speed score table; wherein the evaporation pressure score table and the internal fan speed score table are tables including preset number scores and preset number parameter intervals corresponding to the preset number scores;

[0017] Obtaining the maximum value and the minimum value of each parameter interval corresponding to the evaporation pressure score table and the internal fan speed score table respectively;

[0018] Traversing the maximum quantile and / or the minimum quantile according to a preset traversal judgment condition to obtain fractional coefficients corresponding to the evaporation pressure data and the internal fan speed data;

[0019] The fault value is obtained by performing calculation based on the fractional coefficient corresponding to the evaporation pressure data and the internal fan speed data and the score corresponding to each parameter interval.

[0020] Optionally, traversing the maximum quantile and / or the minimum quantile according to a preset traversal judgment condition to obtain fractional coefficients corresponding to the evaporation pressure data and the internal fan speed data includes:

[0021] Determine whether the maximum quantile is less than or equal to the minimum value of the parameter, or whether the minimum quantile is greater than the maximum value of the parameter, and if so, determine that the fractional coefficient is a first coefficient value, and the first coefficient value is zero;

[0022] Otherwise, determine whether the minimum quantile is less than or equal to the minimum value of the parameter and whether the maximum quantile is less than the maximum value of the parameter; if so, determine that the fractional coefficient is a second coefficient value, where the second coefficient value is the ratio of the difference between the maximum quantile and the minimum value of the parameter to the quantile difference;

[0023] Otherwise, determine whether the minimum quantile is less than or equal to the minimum value of the parameter and whether the maximum quantile is greater than the maximum value of the parameter; if so, determine that the fractional coefficient is a third coefficient value, where the third coefficient value is the ratio of the difference between the maximum value and the minimum value of the parameter to the quantile difference;

[0024] Otherwise, determining whether the minimum quantile is greater than the minimum parameter value, and whether the maximum quantile is less than the maximum parameter value; if so, determining the fractional coefficient to be a fourth coefficient value, and the fourth coefficient value to be one;

[0025] Otherwise, determine whether the minimum quantile is greater than the minimum value of the parameter and whether the maximum quantile is greater than the maximum value of the parameter. If so, determine the fractional coefficient to be a fifth coefficient value, and the fifth coefficient value is the ratio of the difference between the maximum value of the parameter and the minimum quantile to the quantile difference.

[0026] Otherwise, the judgment is ended and all the fractional coefficients are obtained.

[0027] Optionally, the calculating according to the fractional coefficient corresponding to the evaporation pressure data and the internal fan speed data and the score corresponding to each parameter interval to obtain the fault value includes:

[0028] multiplying the fractional coefficient corresponding to the evaporation pressure data by the score corresponding to each parameter interval to obtain a first fault value;

[0029] Multiplying the fractional coefficient corresponding to the internal fan speed data by the score corresponding to each parameter interval to obtain a second fault value;

[0030] The first fault value and the second fault value are added to obtain the fault value.

[0031] Optionally, determining whether the internal fan has a fault according to a relationship between the fault value and a preset fault threshold includes:

[0032] When the fault value is less than or equal to zero, it is determined that the internal fan is normal;

[0033] When the fault value is greater than zero and less than the preset fault threshold, it is determined that the indoor fan is sub-healthy;

[0034] When the fault value is greater than a preset fault threshold, it is determined that a fault exists in the internal fan.

[0035] The present invention also provides a device for detecting fan failure in a refrigeration system, comprising:

[0036] Evaporation pressure data and internal fan speed data acquisition module, used to obtain evaporation pressure data and internal fan speed data;

[0037] a quantile parameter calculation module, configured to calculate the minimum quantile, maximum quantile, and quantile difference corresponding to the evaporation pressure data and the internal fan speed data, respectively; wherein the quantile difference is the difference between the maximum quantile and the minimum quantile;

[0038] a fault value calculation module, configured to calculate a fault value based on the evaporation pressure score table and the internal fan speed score table, and the minimum quantile, the maximum quantile, and the quantile difference corresponding to the evaporation pressure data and the internal fan speed data;

[0039] The fault judgment module is used to determine whether there is a fault in the internal fan based on the relationship between the fault value and the preset fault threshold.

[0040] The present invention also provides a device for detecting fan faults in a refrigeration system, comprising:

[0041] memory for storing computer programs;

[0042] The processor is configured to execute the computer program to implement the steps of the above-mentioned method for detecting fan failure in a refrigeration system.

[0043] The present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the above-mentioned method for detecting fan faults in a refrigeration system.

[0044] It can be seen that the present invention obtains evaporation pressure data and internal fan speed data; calculates the minimum quantile, maximum quantile and quantile difference corresponding to the evaporation pressure data and the internal fan speed data respectively; wherein the quantile difference is the difference between the maximum quantile and the minimum quantile; calculates the fault value according to the evaporation pressure score table and the internal fan speed score table, as well as the minimum quantile, maximum quantile and quantile difference corresponding to the evaporation pressure data and the internal fan speed data; and determines whether the internal fan has a fault according to the relationship between the fault value and the preset fault threshold. Compared with the prior art that only judges faults based on parameter changes, the present invention selects the evaporation pressure data and internal fan speed data with the strongest correlation with the internal fan fault, uses the maximum quantile and the minimum quantile to select the area that most accurately reflects the overall state of the internal fan, and performs calculations based on the evaporation pressure score table and the internal fan speed score table, thereby making the detection of internal fan faults in the refrigeration system more accurate.

[0045] In addition, the present invention provides a device, equipment and medium for detecting fan faults in a refrigeration system, which also have the above-mentioned beneficial effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0047] Figure 1 A flow chart of a method for detecting fan failure in a refrigeration system provided by an embodiment of the present invention;

[0048] Figure 2 A flowchart illustrating a numerical calculation method for fan failure in a refrigeration system provided by an embodiment of the present invention;

[0049] Figure 3 An example diagram of a process flow of a method for detecting fan failure in a refrigeration system provided by an embodiment of the present invention;

[0050] Figure 4 A schematic structural diagram of a fan fault detection device in a refrigeration system provided by an embodiment of the present invention;

[0051] Figure 5 A schematic structural diagram of a fan fault detection device in a refrigeration system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0052] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0053] Please refer to Figure 1 , Figure 1 This is a flow chart of a method for detecting fan failure in a refrigeration system provided by an embodiment of the present invention. The method may include:

[0054] S100, obtaining evaporation pressure data and internal fan speed data.

[0055] This embodiment does not limit the specific time period corresponding to the evaporation pressure data and the internal fan speed data; for example, the time period corresponding to the evaporation pressure data and the internal fan speed data may be the entire time; or, the time period corresponding to the evaporation pressure data and the internal fan speed data may be a time other than the initial time period; or, the time period corresponding to the evaporation pressure data and the internal fan speed data may be a time other than the initial time period and the preset time period before shutdown.

[0056] In some embodiments, the evaporation pressure data and internal fan speed data obtained can be data for each time period other than the initial time period and the preset time period before shutdown, that is, one data is obtained for one time period, and multiple time periods are selected to obtain multiple evaporation pressure data and multiple internal fan speed data; of course, it is also possible to obtain multiple data for a specified time period within the time period, and the specific selection is based on actual conditions and is not limited here.

[0057] S101, respectively calculating the minimum quantile, maximum quantile, and quantile difference corresponding to the evaporation pressure data and the internal fan speed data; wherein the quantile difference is the difference between the maximum quantile and the minimum quantile.

[0058] This embodiment does not limit the specific quantile form of the minimum quantile and the maximum quantile. For example, the minimum quantile and the maximum quantile may be the minimum quartile and the maximum quartile. The minimum quartile (Q1), also known as the "lower quartile", is equal to the 25% data after all the data in the sample are arranged from small to large. The maximum quartile (Q3), also known as the "upper quartile", is equal to the 75% data after all the data in the sample are arranged from small to large. Alternatively, the minimum quantile and the maximum quantile may also be the minimum quintile and the maximum quintile. Q1 (minimum quintile) represents the 20% number after all the values ​​in the sample are arranged from small to large, and Q4 (maximum quintile) represents the 80% number after all the values ​​in the sample are arranged from small to large.

[0059] By selecting the evaporation pressure data and internal fan speed data that are most correlated with internal fan failure, the maximum quantile and minimum quantile are used to select the area that most accurately reflects the overall status of the internal fan. The quintile has a certain degree of resistance, and abnormal values ​​will not interfere with the quintile, so the misjudgment and missed judgment of internal fan fault detection can be reduced.

[0060] S102 , calculating a fault value based on the evaporation pressure score table and the internal fan speed score table, as well as the minimum quantile, maximum quantile, and quantile difference corresponding to the evaporation pressure data and the internal fan speed data.

[0061] This embodiment does not limit the specific score intervals of the evaporation pressure score table and the internal fan speed score table. For example, the evaporation pressure score table may include four intervals [0, 5], [5, 10], [10, 15], [15, 20], and the corresponding scores are [-2, -1, 0, 1], respectively, and the internal fan speed score table may include [0, 35], [35, 75], [75, 100], and the corresponding scores are [-1, 0, 1], respectively. Alternatively, the evaporation pressure score table may include three intervals [0, 5], [5, 10], [10, 15], and the corresponding scores are [-1, 0, 1], respectively, and the internal fan speed score table may include [0, 35], [35, 75], [75, 100], and the corresponding scores are [-1, 0, 1], respectively. This embodiment does not limit the specific value of the fault value. The fault value may be -0.61, or the fault value may be 0.66, or the fault value may be 1.3.

[0062] S103: Determine whether the internal fan has a fault based on the relationship between the fault value and a preset fault threshold.

[0063] This embodiment does not limit the specific value of the preset fault threshold, which can be a specific value or a range of values. For example, the preset fault threshold can be 1, or the preset fault threshold can be 0. This embodiment determines whether the internal fan has a fault by determining the relationship between the fault value and the preset fault threshold.

[0064] Furthermore, in order to improve the accuracy of fault detection, the above-mentioned acquisition of evaporation pressure data and internal fan speed data may include:

[0065] The evaporation pressure data and the internal fan speed data in the stable operation time period are obtained; wherein the stable operation time period does not include the initial time period and the end time period.

[0066] To reduce the impact of data fluctuations on the overall data, this embodiment removes the evaporation pressure data and internal fan speed data from the initial and final time periods. This embodiment does not limit the specific time periods included in the initial and final time periods. For example, the initial time period could be the first 5 minutes, and the final time period could be the last 5 minutes before shutdown; or the initial time period could be the first 4 minutes after startup, and the final time period could be the last 4 minutes before shutdown.

[0067] Furthermore, in order to improve the accuracy of fault numerical calculation, the above calculation of the minimum quantile, maximum quantile and quantile difference corresponding to the evaporation pressure data and the internal fan speed data may include:

[0068] Calculate the minimum quintile, maximum quintile and quantile difference corresponding to the evaporation pressure data and internal fan speed data respectively.

[0069] In order to improve the accuracy of fault value calculation, this embodiment conducts experiments on each maximum quantile and minimum quantile, and finds that the accuracy of fan fault detection in the refrigeration system is higher when the fault value is calculated by the maximum quintile and the minimum quintile. Therefore, the minimum quintile, maximum quintile and quantile difference corresponding to the evaporation pressure data and the internal fan speed data are calculated. Q1 (minimum quintile) represents the 20% number after all the values ​​are arranged from small to large in the sample containing n values, and Q4 (maximum quintile) represents the 80% number after all the values ​​are arranged from small to large in the sample containing n values. If (n+1) is divisible by 5, the positions of Q1 and Q4 can be directly obtained. If (n+1) is not divisible by 5, choose to round off to approximately obtain the maximum quintile and the minimum quintile.

[0070] Furthermore, in order to calculate the fault value based on the evaporation pressure score table and the internal fan speed score table, the above calculation of the fault value based on the evaporation pressure score table and the internal fan speed score table, as well as the minimum quantile, maximum quantile, and quantile difference corresponding to the evaporation pressure data and the internal fan speed data, may include:

[0071] Obtaining an evaporation pressure score table and an internal fan speed score table; wherein the evaporation pressure score table and the internal fan speed score table are tables including preset number scores and preset number parameter intervals corresponding to the preset number scores;

[0072] Obtain the maximum and minimum values ​​of parameters in each parameter interval corresponding to the evaporation pressure fraction table and the internal fan speed fraction table respectively;

[0073] Traverse the maximum quantile and / or minimum quantile according to the preset traversal judgment condition to obtain the fractional coefficients of the evaporation pressure data and the internal fan speed data;

[0074] The fault value is obtained by calculating the fractional coefficients of the evaporation pressure data and the internal fan speed data and the scores corresponding to each parameter interval.

[0075] This embodiment does not limit the specific evaporation pressure score table and the internal fan speed score table, as long as the evaporation pressure score table and the internal fan speed score table include a preset number of scores and a table of preset number of parameter intervals corresponding to the preset number of scores. For example, the evaporation pressure score table may include four intervals [0, 5], [5, 10], [10, 15], [15, 20], and the corresponding scores are [-2, -1, 0, 1], respectively, and the internal fan speed score table may include [0, 35], [35, 75], [75, 100], and the corresponding scores are [-1, 0, 1], respectively. Alternatively, the evaporation pressure score table may include three intervals [0, 5], [5, 10], [10, 15], and the corresponding scores are [-1, 0, 1], respectively, and the internal fan speed score table may include [0, 35], [35, 75], [75, 100], and the corresponding scores are [-1, 0, 1], respectively. This embodiment does not limit the specific quantile form of the minimum quantile and the maximum quantile. For example, the minimum quantile and the maximum quantile can be the minimum quartile and the maximum quartile. The minimum quartile (Q1), also known as the "lower quartile", is equal to the 25% of the data in the sample after all the data in the sample are arranged from small to large. The maximum quartile (Q3), also known as the "upper quartile", is equal to the 75% of the data in the sample after all the data in the sample are arranged from small to large. Alternatively, the minimum quantile and the maximum quantile can also be the minimum quintile and the maximum quintile. Q1 (minimum quintile) represents the 20% of the number of all the values ​​in the sample that are arranged from small to large, and Q4 (maximum quintile) represents the 80% of the number of all the values ​​in the sample that are arranged from small to large. This embodiment does not limit the specific fractional coefficient, as long as the fractional coefficient is between 0 and 1. For example, the fractional coefficient can be 0, or the fractional coefficient can be 0.5; or the fractional coefficient can also be 1. This embodiment does not limit the specific form of traversing the maximum quantile and / or minimum quantile according to the preset traversal judgment. For example, it is possible to determine whether the maximum quantile is less than or equal to the minimum parameter value, or whether the minimum quantile is greater than the maximum parameter value, that is, traversing according to the maximum quantile or the minimum quantile; or it is possible to determine whether the minimum quantile is less than or equal to the minimum parameter value and whether the maximum quantile is greater than the maximum parameter value, that is, traversing according to the maximum quantile and the minimum quantile.

[0076] Furthermore, in order to traverse the maximum quantile and the minimum quantile to accurately obtain the fault value, the above-mentioned traversal of the maximum quantile and / or the minimum quantile according to the preset traversal judgment conditions to obtain the fractional coefficients of the evaporation pressure data and the internal fan speed data may include:

[0077] Determine whether the maximum quantile is less than or equal to the minimum value of the parameter, or whether the minimum quantile is greater than the maximum value of the parameter. If so, determine the fractional coefficient as the first coefficient value, and the first coefficient value is zero;

[0078] Otherwise, determine whether the minimum quantile is less than or equal to the minimum value of the parameter and whether the maximum quantile is less than the maximum value of the parameter. If so, determine the fractional coefficient as the second coefficient value, and the second coefficient value is the ratio of the difference between the maximum quantile and the minimum value of the parameter to the quantile difference;

[0079] Otherwise, determine whether the minimum quantile is less than or equal to the minimum value of the parameter and whether the maximum quantile is greater than the maximum value of the parameter. If so, determine the fractional coefficient as the third coefficient value, which is the ratio of the difference between the maximum value and the minimum value of the parameter to the quantile difference;

[0080] Otherwise, determine whether the minimum quantile is greater than the minimum value of the parameter and whether the maximum quantile is less than the maximum value of the parameter. If so, determine the fractional coefficient as the fourth coefficient value, and the fourth coefficient value is one;

[0081] Otherwise, determine whether the minimum quantile is greater than the minimum value of the parameter, and whether the maximum quantile is greater than the maximum value of the parameter. If so, determine the fractional coefficient as the fifth coefficient value, which is the ratio of the difference between the maximum and minimum quantiles of the parameter to the quantile difference;

[0082] Otherwise, the judgment is ended and all the fractional coefficients are obtained.

[0083] This embodiment does not limit the specific process of calculating the fault value based on the fractional coefficient. For example, the fractional coefficient can be calculated first and then the fault value, or the fractional coefficient can be calculated while the fault value is calculated, and then all the fault values ​​are continuously added up to obtain the final fault value.

[0084] In order to make the process of traversing the maximum quantile and / or the minimum quantile according to the preset traversal judgment condition in the embodiment of the present invention easier to understand, please refer to Figure 2 , Figure 2It is a flowchart example of a method for numerically calculating the fault of the internal fan in the refrigeration system provided by the embodiment of the present invention, which may specifically include: obtaining the minimum quintile (A), the maximum quintile (B) and the quartile difference (L), obtaining the evaporation pressure fraction table and the internal fan speed fraction table, and further obtaining the corresponding relationship between the fractions in the evaporation pressure fraction table and the internal fan speed fraction table and the parameter intervals, that is, the fraction: [min, max]. Suppose that after calculation, the minimum quintile and the maximum quintile corresponding to the internal fan are (A, B) respectively, and the quartile difference is L. The obtained internal fan speed fraction table is, for example: (-1: [0, 35], 0: [35, 75], 1: [75, 100]), that is, the internal fan speed in the refrigeration system is divided into 3 intervals from [0, 100], and each opening interval corresponds to a fraction. Replace [min, max] with the parameter maximum value and the parameter minimum value of the internal fan speed interval corresponding to each fraction. When A, B, and L traverse the intervals corresponding to each fraction in the fraction table, there will be the following situations: If B <= min or A > max, (fraction coefficient) S = 0, and the partial fault value += fraction x S; when A <= min and B < max, S = (B - min) / L, and the partial fault value += fraction x S; when A <= min and B > max, S = (max - min) / L, and the partial fault value += fraction x S; when A > min and B < max, S = 1, and the partial fault value += fraction x S; when A > min and B > max, S = (max - A) / L, and the partial fault value += fraction x S. When the above five conditions are used to traverse and judge the entire internal fan speed fraction table, and the obtained partial fault values are continuously superimposed, the internal fan speed fault value is calculated; similarly, obtain the evaporation pressure fraction table and perform according to the above rules and processes to obtain the evaporation pressure fault value, and finally add the evaporation pressure fault value and the internal fan speed fault value to obtain the final fault value of the internal fan.

[0085] Further, in order to accurately calculate the fault value, the above calculation of the fault value according to the fraction coefficient corresponding to the evaporation pressure data and the internal fan speed data and the score value corresponding to each parameter interval may include:

[0086] Calculate the first fault value according to the fraction coefficient corresponding to the evaporation pressure data and the score value corresponding to each parameter interval;

[0087] Calculate the second fault value according to the fraction coefficient corresponding to the internal fan speed data and the score value corresponding to each parameter interval;

[0088] Add the first fault value and the second fault value to obtain the fault value.

[0089] This embodiment calculates a first fault value corresponding to the evaporation pressure data using the fractional coefficient corresponding to the evaporation pressure data and the score corresponding to each parameter interval. It also calculates a second fault value using the fractional coefficient corresponding to the fan speed data and the score corresponding to each parameter interval. The first and second fault values ​​are then added together to obtain a fault value corresponding to the interior fan. Because the fault value in this embodiment of the present invention is composed of the second fault value corresponding to the interior fan speed and the first fault value corresponding to the evaporation pressure data, the obtained fault value for the interior fan is more accurate.

[0090] Furthermore, calculating the first fault value according to the fractional coefficient corresponding to the evaporation pressure data and the score corresponding to each parameter interval may include:

[0091] Multiply the fractional coefficient corresponding to each evaporation pressure data by the score of the corresponding parameter interval to obtain the partial fault value of the evaporation pressure data;

[0092] Partial fault values ​​of a plurality of evaporation pressure data are added together to obtain a first fault value.

[0093] Further, calculating the second fault value according to the fractional coefficient corresponding to the internal fan speed data and the score corresponding to each parameter interval may include:

[0094] Multiply the fractional coefficient corresponding to each internal fan speed data by the score of the corresponding parameter interval to obtain a partial fault value of the internal fan speed data;

[0095] Partial fault values ​​of multiple internal fan speed data are added together to obtain a second fault value.

[0096] Furthermore, in order to obtain a more detailed working status of the fan in the refrigeration system, the method for detecting a fault of the fan in the refrigeration system may further include:

[0097] When the fault value is less than or equal to zero, it is determined that the internal fan is normal;

[0098] When the fault value is greater than zero and less than the preset fault threshold, the indoor fan is determined to be sub-healthy;

[0099] When the fault value is greater than the preset fault threshold, it is determined that there is a fault in the internal fan.

[0100] This embodiment allows for a more refined assessment of the fault status of the indoor fan. When the fault value is less than or equal to zero, the indoor fan is considered normal. When the fault value is greater than zero and less than a preset fault threshold, the indoor fan is considered sub-healthy. When the fault value is greater than the fault threshold, the indoor fan is considered faulty.

[0101] Furthermore, in order to promptly remind the user that there is a fault in the fan of the refrigeration system, after determining that there is a fault in the fan when the fault value is greater than the preset fault threshold, the following steps may also be performed:

[0102] When it is determined that there is a fault in the internal fan, a fault prompt message is output.

[0103] This embodiment does not limit the specific manner of prompting information, for example, prompting in the form of text or sound.

[0104] The method for detecting internal fan faults in a refrigeration system provided by an embodiment of the present invention obtains evaporation pressure data and internal fan speed data; calculates the minimum quantile, maximum quantile, and quantile difference corresponding to the evaporation pressure data and the internal fan speed data respectively; wherein the quantile difference is the difference between the maximum quantile and the minimum quantile; calculates a fault value based on an evaporation pressure score table and an internal fan speed score table, as well as the minimum quantile, maximum quantile, and quantile difference corresponding to the evaporation pressure data and the internal fan speed data; and determines that the internal fan has a fault when the fault value is greater than a preset fault threshold. Compared with the prior art that only judges faults based on parameter changes, the present invention selects the evaporation pressure data and internal fan speed data with the strongest correlation with the internal fan fault, uses the maximum quantile and the minimum quantile to select the area that most accurately reflects the overall status of the internal fan, and performs calculations based on the evaporation pressure score table and the internal fan speed score table, thereby making the detection of internal fan faults in the refrigeration system more accurate. In addition, the embodiment of the present invention selects evaporation pressure data and internal fan speed data in a stable time period, so that the accuracy of fault detection is higher; and the maximum quintile and the minimum quintile are selected as the maximum quantile and the minimum quantile. Experiments show that the accuracy of internal fan fault detection is higher when the maximum quintile and the minimum quintile are selected; and when it is determined that there is a fault in the internal fan, a prompt message will be output to promptly remind the internal fan that there is a fault.

[0105] In order to make the present invention easier to understand, please refer to Figure 3 , Figure 3 An example flow chart of a method for detecting fan failure in a refrigeration system provided by an embodiment of the present invention may specifically include:

[0106] Obtain data corresponding to the refrigeration system's internal fans and process it to obtain evaporation pressure and internal fan speed data for the stable time period. Calculate the minimum quintile, maximum quintile, and quantile difference for the internal fan speed data to be (68, 85, 17), and the minimum quintile and maximum quintile for the evaporation pressure data to be (0.2, 5.8, 5.6), respectively. Obtain the evaporation pressure score table and internal fan speed score table: {-1:[0,35],0:[35,75],1:[75,100]} for the internal fan speed table and {1:[0,5],0:[5,10],-1:[10,15]} for the evaporation pressure score table. Invoke the preset traversal judgment criteria and calculate the fault value based on the maximum quintile, minimum quintile, quantile difference, and the evaporation pressure score table and internal fan speed score table. The calculated fault value corresponding to the internal fan speed data is 0.5, and the fault value corresponding to the evaporation pressure data is 0.82. Therefore, the fault value of the internal fan of the refrigeration system is 1.3. The preset fault threshold in this embodiment is 1. 1.3 is greater than 1. It is determined that the internal fan has a fault and a fault prompt message is output.

[0107] The following is an introduction to a fan fault detection device in a refrigeration system provided by an embodiment of the present invention. The fan fault detection device in a refrigeration system described below and the fan fault detection method in a refrigeration system described above can be referenced to each other.

[0108] Please refer to Figure 4 , Figure 4 A schematic structural diagram of a fan fault detection device in a refrigeration system provided by an embodiment of the present invention may include:

[0109] The evaporation pressure data and internal fan speed data acquisition module 100 is used to acquire the evaporation pressure data and the internal fan speed data;

[0110] a quantile parameter calculation module 200 for respectively calculating the minimum quantile, maximum quantile, and quantile difference corresponding to the evaporation pressure data and the internal fan speed data; wherein the quantile difference is the difference between the maximum quantile and the minimum quantile;

[0111] a fault value calculation module 300 for calculating a fault value based on the evaporation pressure score table and the internal fan speed score table, and the minimum quantile, the maximum quantile, and the quantile difference corresponding to the evaporation pressure data and the internal fan speed data;

[0112] The fault judgment module 400 is used to determine whether there is a fault in the internal fan based on the relationship between the fault value and the preset fault threshold.

[0113] Furthermore, based on the above embodiment, the evaporation pressure data and internal fan speed data acquisition module 100 may include:

[0114] The stable data acquisition unit is used to acquire the evaporation pressure data and the internal fan speed data in a stable operation time period; wherein the stable operation time period does not include an initial time period and an end time period.

[0115] Further, based on any of the above embodiments, the quantile parameter calculation module 200 may include:

[0116] The quintile calculation unit is used to respectively calculate the minimum quintile, the maximum quintile and the quantile difference corresponding to the evaporation pressure data and the internal fan speed data.

[0117] Further, based on any of the above embodiments, the fault value calculation module 300 may include:

[0118] a score table acquisition unit, configured to acquire the evaporation pressure score table and the interior fan speed score table; wherein the evaporation pressure score table and the interior fan speed score table are tables including a preset number of scores and a preset number of parameter intervals corresponding to the preset number of scores;

[0119] a parameter interval acquisition unit, configured to acquire a maximum parameter value and a minimum parameter value of each parameter interval corresponding to the evaporation pressure score table and the internal fan speed score table;

[0120] a fractional coefficient calculation unit, configured to traverse the maximum quantile and / or the minimum quantile according to a preset traversal judgment condition to obtain fractional coefficients of the evaporation pressure data and the internal fan speed data;

[0121] The fault value calculation unit is used to calculate the fault value according to the fractional coefficient of the evaporation pressure data and the internal fan speed data and the score corresponding to each parameter interval.

[0122] Furthermore, based on the above embodiment, the fractional coefficient calculation unit may include:

[0123] A first judgment subunit is configured to judge whether the traversal judgment condition is to judge whether the maximum quantile is less than or equal to the minimum value of the parameter, or whether the minimum quantile is greater than the maximum value of the parameter, and if so, determine that the fractional coefficient is a first coefficient value, and the first coefficient value is zero;

[0124] a second judgment subunit, configured to, when the maximum quantile is not less than or equal to the minimum value of the parameter and the minimum quantile is not greater than the maximum value of the parameter, determine whether the minimum quantile is less than or equal to the minimum value of the parameter and whether the maximum quantile is less than the maximum value of the parameter; and if so, determine that the fractional coefficient is a second coefficient value, where the second coefficient value is a ratio of a difference between the maximum quantile and the minimum value of the parameter to the quantile difference;

[0125] a third judgment subunit, configured to, when the minimum quantile is not less than or equal to the minimum value of the parameter and the maximum quantile is not less than the maximum value of the parameter, determine whether the minimum quantile is less than or equal to the minimum value of the parameter and whether the maximum quantile is greater than the maximum value of the parameter; if so, determine that the fractional coefficient is a third coefficient value, where the third coefficient value is a ratio of a difference between the maximum value and the minimum value of the parameter and the quantile difference;

[0126] a fourth judgment subunit, configured to, when the minimum quantile is not less than or equal to the minimum parameter value and the maximum quantile is not greater than the maximum parameter value, determine whether the minimum quantile is greater than the minimum parameter value and whether the maximum quantile is less than the maximum parameter value; and if so, determine that the fractional coefficient is a fourth coefficient value, wherein the fourth coefficient value is one;

[0127] a fifth judgment subunit, configured to, when the minimum quantile is not greater than the minimum value of the parameter and the maximum quantile is not less than the maximum value of the parameter, determine whether the minimum quantile is greater than the minimum value of the parameter and whether the maximum quantile is greater than the maximum value of the parameter; and if so, determine that the fractional coefficient is a fifth coefficient value, where the fifth coefficient value is a ratio of a difference between the maximum value of the parameter and the minimum quantile to the quantile difference;

[0128] The fractional coefficient calculation subunit is used to terminate the judgment and obtain all the fractional coefficients when the minimum quantile is not greater than the minimum value of the parameter and the maximum quantile is not greater than the maximum value of the parameter.

[0129] Furthermore, based on the above embodiment, the fault value calculation unit may include:

[0130] a first fault value calculation unit, configured to multiply the fractional coefficient of the evaporation pressure data by the score corresponding to each parameter interval to obtain a first fault value;

[0131] a second fault value calculation unit, configured to multiply the fractional coefficient of the internal fan speed data by the score corresponding to each parameter interval to obtain a second fault value;

[0132] The fault value calculation subunit is configured to add the first fault value and the second fault value to obtain the fault value.

[0133] Further, based on any of the above embodiments, the fault judgment module 400 may include:

[0134] an internal fan normal determination unit, configured to determine that the internal fan is normal when the fault value is less than or equal to zero;

[0135] an indoor fan sub-health determination unit, configured to determine that the indoor fan is sub-healthy when the fault value is greater than zero and less than the preset fault threshold;

[0136] The internal fan fault determination unit is used to determine that the internal fan has a fault when the fault value is greater than a preset fault threshold.

[0137] The refrigeration system internal fan fault detection device provided by the embodiment of the present invention includes: an evaporation pressure data and internal fan speed data acquisition module 100 for acquiring evaporation pressure data and internal fan speed data; a quantile parameter calculation module 200 for respectively calculating the minimum quantile, maximum quantile, and quantile difference corresponding to the evaporation pressure data and the internal fan speed data; wherein the quantile difference is the difference between the maximum quantile and the minimum quantile; a fault value calculation module 300 for calculating a fault value based on an evaporation pressure score table and an internal fan speed score table, as well as the minimum quantile, maximum quantile, and quantile difference corresponding to the evaporation pressure data and the internal fan speed data; and a fault judgment module 400 for determining whether the internal fan has a fault based on the relationship between the fault value and a preset fault threshold. The present invention selects the evaporation pressure data and internal fan speed data with the strongest correlation with the internal fan fault, uses the maximum quantile and minimum quantile to select the region that most accurately reflects the overall status of the internal fan, and performs calculations based on the evaporation pressure score table and the internal fan speed score table, thereby making the detection of internal fan faults in the refrigeration system more accurate. In addition, the embodiment of the present invention selects evaporation pressure data and internal fan speed data in a stable time period, so that the accuracy of fault detection is higher; and the maximum quintile and the minimum quintile are selected as the maximum quantile and the minimum quantile. Experiments show that the accuracy of internal fan fault detection is higher when the maximum quintile and the minimum quintile are selected; and when it is determined that there is a fault in the internal fan, a prompt message will be output to promptly remind the internal fan that there is a fault.

[0138] It should be noted that the order of the modules and units in the above-mentioned device for detecting faults of fan in a refrigeration system can be changed without affecting the logic.

[0139] The following is an introduction to a fan fault detection device in a refrigeration system provided by an embodiment of the present invention. The fan fault detection device in a refrigeration system described below and the fan fault detection method in a refrigeration system described above can refer to each other.

[0140] Please refer to Figure 5 , Figure 5 A schematic diagram of a fan fault detection device in a refrigeration system provided in an embodiment of the present invention may include:

[0141] Memory 10, for storing computer programs;

[0142] The processor 20 is configured to execute a computer program to implement the steps of the above-mentioned method for detecting a fan failure in a refrigeration system.

[0143] The memory 10 , the processor 20 , and the communication interface 31 all communicate with each other via the communication bus 32 .

[0144] In an embodiment of the present invention, the memory 10 is used to store one or more programs. The program may include program code, and the program code includes computer operating instructions. In an embodiment of the present application, the memory 10 may store programs for implementing the following functions:

[0145] Obtain evaporation pressure data and internal fan speed data;

[0146] Calculate the minimum quantile, maximum quantile, and quantile difference corresponding to the evaporation pressure data and the internal fan speed data respectively; the quantile difference is the difference between the maximum quantile and the minimum quantile;

[0147] Calculate the fault value based on the evaporation pressure score table and the internal fan speed score table, as well as the minimum quantile, maximum quantile, and quantile difference corresponding to the evaporation pressure data and the internal fan speed data;

[0148] Based on the relationship between the fault value and the preset fault threshold, it is determined whether the internal fan is faulty. In one possible implementation, the memory 10 may include a program storage area and a data storage area. The program storage area may store an operating system and at least one application required for a function, and the data storage area may store data created during use.

[0149] In addition, the memory 10 may include a read-only memory and a random access memory, and provides instructions and data to the processor. A portion of the memory may also include NVRAM. The memory stores an operating system and operating instructions, executable modules or data structures, or a subset or an extended set thereof. The operating instructions may include various operating instructions for implementing various operations. The operating system may include various system programs for implementing various basic tasks and processing hardware-based tasks.

[0150] The processor 20 may be a central processing unit (CPU), an application-specific integrated circuit, a digital signal processor, a field programmable gate array, or other programmable logic device. The processor 20 may be a microprocessor or any conventional processor. The processor 20 may call a program stored in the memory 10 .

[0151] The communication interface 31 may be an interface of a communication module, used for connecting to other devices or systems.

[0152] Of course, it needs to be explained that Figure 5 The structure shown does not constitute a limitation on the fan fault detection device in the refrigeration system in the embodiment of the present application. In actual application, the fan fault detection device in the refrigeration system may include Figure 5 More or fewer components than shown, or combinations of certain components.

[0153] The computer-readable storage medium provided by an embodiment of the present invention is introduced below. The computer-readable storage medium described below and the method for detecting a fan fault in a refrigeration system described above can be referenced to each other.

[0154] The present invention also provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the above-mentioned method for detecting fan faults in a refrigeration system are implemented.

[0155] The computer-readable storage medium may include: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, and other media that can store program codes.

[0156] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from the other embodiments. Reference can be made to the descriptions of the identical or similar parts between the various embodiments. For the devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple, and the relevant parts can be referred to the descriptions of the methods.

[0157] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the above description has generally described the components and steps of each example according to their functions. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0158] Finally, it should be noted that, in this document, relationships such as first and second, etc., are used solely to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0159] The above is a detailed introduction to the method, device, equipment and medium for detecting fan faults in a refrigeration system provided by the present invention. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the ideas of the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A method for detecting fan failure in a refrigeration system, characterized in that: include: Obtain evaporation pressure data and internal fan speed data; Calculating the minimum quantile, maximum quantile, and quantile difference corresponding to the evaporation pressure data and the internal fan speed data respectively; wherein the quantile difference is the difference between the maximum quantile and the minimum quantile; Calculate a fault value according to the evaporation pressure score table and the internal fan speed score table, and the minimum quantile, the maximum quantile, and the quantile difference corresponding to the evaporation pressure data and the internal fan speed data; According to the relationship between the fault value and the preset fault threshold, it is determined whether the internal fan has a fault.

2. The method for detecting fan failure in a refrigeration system according to claim 1, wherein: The obtaining of evaporation pressure data and internal fan speed data includes: The evaporation pressure data and the internal fan speed data in a stable operation time period are acquired; wherein the stable operation time period does not include an initial time period and an end time period.

3. The method for detecting fan failure in a refrigeration system according to claim 1, wherein: The respectively calculating the minimum quantile, the maximum quantile, and the quantile difference corresponding to the evaporation pressure data and the internal fan speed data includes: The minimum quintile, the maximum quintile and the quantile difference corresponding to the evaporation pressure data and the internal fan speed data are calculated respectively.

4. The method for detecting fan failure in a refrigeration system according to any one of claims 1 to 3, characterized in that: The calculating of the fault value according to the evaporation pressure score table and the internal fan speed score table, and the minimum quantile, the maximum quantile, and the quantile difference corresponding to the evaporation pressure data and the internal fan speed data, includes: Obtain the evaporation pressure score table and the internal fan speed score table; wherein the evaporation pressure score table and the internal fan speed score table are tables including preset number scores and preset number parameter intervals corresponding to the preset number scores; Obtaining the maximum value and the minimum value of each parameter interval corresponding to the evaporation pressure score table and the internal fan speed score table respectively; Traversing the maximum quantile and / or the minimum quantile according to a preset traversal judgment condition to obtain fractional coefficients corresponding to the evaporation pressure data and the internal fan speed data; The fault value is obtained by performing calculation based on the fractional coefficient corresponding to the evaporation pressure data and the internal fan speed data and the score corresponding to each parameter interval.

5. The method for detecting fan failure in a refrigeration system according to claim 4, characterized in that: The traversing the maximum quantile and / or the minimum quantile according to the preset traversal judgment condition to obtain the fractional coefficient corresponding to the evaporation pressure data and the internal fan speed data includes: Determine whether the maximum quantile is less than or equal to the minimum value of the parameter, or whether the minimum quantile is greater than the maximum value of the parameter, and if so, determine that the fractional coefficient is a first coefficient value, and the first coefficient value is zero; Otherwise, determine whether the minimum quantile is less than or equal to the minimum value of the parameter and whether the maximum quantile is less than the maximum value of the parameter; if so, determine that the fractional coefficient is a second coefficient value, where the second coefficient value is the ratio of the difference between the maximum quantile and the minimum value of the parameter to the quantile difference; Otherwise, determine whether the minimum quantile is less than or equal to the minimum value of the parameter and whether the maximum quantile is greater than the maximum value of the parameter; if so, determine that the fractional coefficient is a third coefficient value, where the third coefficient value is the ratio of the difference between the maximum value and the minimum value of the parameter to the quantile difference; Otherwise, determining whether the minimum quantile is greater than the minimum parameter value, and whether the maximum quantile is less than the maximum parameter value; if so, determining the fractional coefficient to be a fourth coefficient value, and the fourth coefficient value to be one; Otherwise, determine whether the minimum quantile is greater than the minimum value of the parameter and whether the maximum quantile is greater than the maximum value of the parameter. If so, determine the fractional coefficient to be a fifth coefficient value, and the fifth coefficient value is the ratio of the difference between the maximum value of the parameter and the minimum quantile to the quantile difference. Otherwise, the judgment is ended and all the fractional coefficients are obtained.

6. The method for detecting fan failure in a refrigeration system according to claim 4, characterized in that: The calculation based on the fractional coefficient corresponding to the evaporation pressure data and the internal fan speed data and the score corresponding to each parameter interval to obtain the fault value includes: calculating a first fault value according to the fractional coefficient corresponding to the evaporation pressure data and the score corresponding to each parameter interval; Calculating a second fault value according to the fractional coefficient corresponding to the internal fan speed data and the score corresponding to each parameter interval; The first fault value and the second fault value are added to obtain the fault value.

7. The method for detecting fan failure in a refrigeration system according to claim 1, wherein: Determining whether the internal fan has a fault based on the relationship between the fault value and the preset fault threshold includes: When the fault value is less than or equal to zero, it is determined that the internal fan is normal; When the fault value is greater than zero and less than the preset fault threshold, it is determined that the indoor fan is sub-healthy; When the fault value is greater than a preset fault threshold, it is determined that a fault exists in the internal fan.

8. A device for detecting fan failure in a refrigeration system, characterized in that: include: Evaporation pressure data and internal fan speed data acquisition module, used to obtain evaporation pressure data and internal fan speed data; a quantile parameter calculation module, configured to calculate the minimum quantile, maximum quantile, and quantile difference corresponding to the evaporation pressure data and the internal fan speed data, respectively; wherein the quantile difference is the difference between the maximum quantile and the minimum quantile; a fault value calculation module, configured to calculate a fault value based on the evaporation pressure score table and the internal fan speed score table, and the minimum quantile, the maximum quantile, and the quantile difference corresponding to the evaporation pressure data and the internal fan speed data; The fault judgment module is used to determine whether there is a fault in the internal fan based on the relationship between the fault value and the preset fault threshold.

9. A fan fault detection device in a refrigeration system, characterized in that: include: memory for storing computer programs; A processor is configured to implement the steps of the method for detecting fan failure in a refrigeration system according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for detecting fan failure in a refrigeration system according to any one of claims 1 to 7 are implemented.

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