Method, device, equipment and medium for monitoring a gearbox lubrication cooling system

Abstract

The application discloses a kind of gear box lubrication cooling system monitoring method, device, equipment and medium, belong to wind power field.The method comprises: obtaining wind turbine in wind farm in first time period Multiple sets of gear box monitoring data and multiple sets of gear box monitoring data in second time period;According to the preset power interval, gear box monitoring data in first time period and gear box monitoring data in second time period, obtain the first change trend data of gear box pressure data and the second change trend data of gear box temperature data of wind turbine in each power interval;Based on the distribution of first change trend data and the distribution of second change trend data, obtain abnormal threshold parameter;According to the comparison of first change trend data, second change trend data respectively with abnormal threshold parameter, determine the gear box lubrication cooling fault of wind turbine.According to the embodiment of the application, the timeliness of the fault determination of gear box lubrication cooling system can be improved.

Description

Technical Field

[0001] This application pertains to the field of wind power generation, and particularly relates to a monitoring method, device, equipment, and medium for a gearbox lubrication and cooling system. Background Technology

[0002] A wind turbine is a large device that converts wind energy into electrical energy. The gearbox of a wind turbine converts the rotation of the rotor under wind power into rotation at a speed suitable for the generator's operation, thus producing electricity. The gearbox lubrication and cooling system lubricates the gears and bearings inside the gearbox and cools the gearbox using the lubricant.

[0003] Gearbox lubrication and cooling systems can experience malfunctions such as insufficient lubricating oil, lubricating oil contamination, and damaged temperature control valves. These issues can lead to overheating and wear in the gearbox, accelerating component aging and damage, and increasing the gearbox failure rate. Therefore, fault monitoring of gearbox lubrication and cooling systems has become a key concern. However, current methods primarily rely on real-time oil temperature and pressure data, along with preset alarm thresholds, to monitor gearbox lubrication and cooling system faults. This often results in faults being detected only after they have already occurred, failing to provide timely intervention. Summary of the Invention

[0004] This application provides a monitoring method, device, equipment, and medium for a gearbox lubrication and cooling system, which can improve the timeliness of fault diagnosis in the gearbox lubrication and cooling system.

[0005] In a first aspect, embodiments of this application provide a monitoring method for a gearbox lubrication and cooling system, comprising: acquiring multiple sets of gearbox monitoring data of a wind turbine generator in a wind farm during a first time period and multiple sets of gearbox monitoring data during a second time period, wherein each set of gearbox monitoring data corresponds to a timestamp, and each set of gearbox monitoring data includes power data, gearbox pressure data, and gearbox temperature data, wherein the first time period is before the second time period; obtaining, based on a preset power range, the multiple sets of gearbox monitoring data during the first time period, and the multiple sets of gearbox monitoring data during the second time period, a first trend data for the gearbox pressure data and a second trend data for the gearbox temperature data of the wind turbine generator in each power range; obtaining an anomaly threshold parameter based on the distribution of the first trend data and the second trend data; and determining a gearbox lubrication and cooling fault of the wind turbine generator by comparing the first trend data and the second trend data with the anomaly threshold parameter.

[0006] In some possible embodiments, based on preset power ranges, multiple sets of gearbox monitoring data in a first time period, and multiple sets of gearbox monitoring data in a second time period, a first trend data for gearbox pressure data and a second trend data for gearbox temperature data of the wind turbine are obtained in each power range. This includes: resampling the multiple sets of gearbox monitoring data in the first time period and the multiple sets of gearbox monitoring data in the second time period respectively; calculating the first average pressure data and the first average temperature data of the wind turbine in each power range in the first time period, and the second average pressure data and the second average temperature data in the second time period, based on the gearbox monitoring data obtained after resampling, according to the power range to which the power data belongs; and obtaining the first trend data and the second trend data based on the difference between the second average pressure data and the first average pressure data, and the difference between the second average temperature data and the first average temperature data.

[0007] In some possible embodiments, the abnormal threshold parameters include an upper pressure threshold, a lower pressure threshold, and an upper temperature threshold, wherein the upper pressure threshold is greater than the lower pressure threshold;

[0008] Based on the distribution of the first trend data and the distribution of the second trend data, anomaly threshold parameters are obtained, including: calculating the first average value and the first variance of the first trend data of the wind turbines in the wind farm, and the second average value and the second variance of the second trend data; obtaining the upper pressure threshold and the lower pressure threshold based on the first average value and the first variance; and obtaining the upper temperature threshold based on the second average value and the second variance.

[0009] In some possible embodiments, determining a gearbox lubrication and cooling fault in a wind turbine by comparing a first trend data and a second trend data with an abnormal threshold parameter includes: counting the first amount of the first trend data of the wind turbine exceeding the abnormal threshold parameter, and the second amount of the second trend data exceeding the abnormal threshold parameter; comparing the first amount of data, the second amount of data, and the corresponding preset abnormal threshold to obtain a first intermediate result; and determining a gearbox lubrication and cooling fault in the wind turbine based on the first intermediate result.

[0010] In some possible embodiments, the abnormal threshold parameters include an upper pressure threshold, a lower pressure threshold, and an upper temperature threshold, wherein the upper pressure threshold is greater than the lower pressure threshold; the first data volume includes a first sub-data volume whose first trend data is greater than the upper pressure threshold and a second sub-data volume whose first trend data is less than the lower pressure threshold; the second data volume includes a third sub-data volume whose second trend data is greater than the upper temperature threshold; the gearbox lubrication and cooling fault is related to the sub-data volume that is greater than the corresponding preset abnormal threshold, and the sub-data volume includes the first sub-data volume, the second sub-data volume, and the third sub-data volume; the gearbox lubrication and cooling fault includes at least one of the following: oil circuit blockage fault, oil circuit leakage fault, and temperature control valve abnormal fault.

[0011] In some possible embodiments, if the first intermediate result indicates that only the first sub-data volume is greater than the corresponding preset anomaly threshold, the gearbox lubrication and cooling fault includes an oil circuit blockage fault; if the first intermediate result indicates that only the second sub-data volume is greater than the corresponding preset anomaly threshold, the gearbox lubrication and cooling fault includes an oil circuit leakage fault or a temperature control valve malfunction; if the first intermediate result indicates that only the third sub-data volume is greater than the corresponding preset anomaly threshold, the gearbox lubrication and cooling fault includes a temperature control valve malfunction; if the first intermediate result indicates that both the first and second sub-data volumes are greater than the corresponding preset anomaly thresholds, the gearbox lubrication and cooling fault includes a temperature control valve malfunction; if the first intermediate result indicates that both the first and third sub-data volumes are greater than the corresponding preset anomaly thresholds, the gearbox lubrication and cooling fault includes an oil circuit blockage fault; if the first intermediate result indicates that both the second and third sub-data volumes are greater than the corresponding preset anomaly thresholds, the gearbox lubrication and cooling fault includes an oil circuit leakage fault or a temperature control valve malfunction; if the first intermediate result indicates that the first, second, and third sub-data volumes are all greater than the corresponding preset anomaly thresholds, the gearbox lubrication and cooling fault includes a temperature control valve malfunction.

[0012] In some possible embodiments, the gearbox monitoring data may also include gearbox filter inlet pressure and gearbox filter outlet pressure; the method may further include: acquiring the pressure difference between the gearbox filter inlet pressure and the gearbox filter outlet pressure; comparing the pressure difference with a preset pressure threshold to obtain a second intermediate result;

[0013] Based on the first intermediate result, the gearbox lubrication and cooling fault of the wind turbine is determined, including: determining the gearbox lubrication and cooling fault of the wind turbine based on the first intermediate result and the second intermediate result.

[0014] In some possible embodiments, the abnormal threshold parameters include an upper pressure threshold, a lower pressure threshold, and an upper temperature threshold, wherein the upper pressure threshold is greater than the lower pressure threshold; the first data volume includes a first sub-data volume in which the first trend data is greater than the upper pressure threshold and a second sub-data volume in which the first trend data is less than the lower pressure threshold, and the second data volume includes a third sub-data volume in which the second trend data is greater than the upper temperature threshold.

[0015] If the second intermediate result indicates that the pressure difference is greater than the preset pressure threshold, and the first intermediate result indicates that at most one of the first, second, and third sub-data values ​​is greater than the corresponding preset abnormality threshold, the gearbox lubrication and cooling fault includes filter blockage; if the second intermediate result indicates that the pressure difference is greater than the preset pressure threshold, and the first intermediate result indicates that only the first sub-data value is less than or equal to the corresponding preset abnormality threshold, the gearbox lubrication and cooling fault includes oil leakage or temperature control valve malfunction; if the second intermediate result indicates that the pressure difference is greater than the preset pressure threshold, and the first intermediate result indicates that only the second sub-data value is less than or equal to the corresponding preset abnormality threshold, the gearbox lubrication and cooling fault includes filter blockage; if the second intermediate result indicates that the pressure difference is greater than the preset pressure threshold, and the first intermediate result indicates that only the third sub-data value is less than or equal to the corresponding preset abnormality threshold, the gearbox lubrication and cooling fault includes data abnormality; if the second intermediate result indicates that the pressure difference is greater than the preset pressure threshold, and the first intermediate result indicates that the first, second, and third sub-data values ​​are each greater than the corresponding preset abnormality threshold, the gearbox lubrication and cooling fault includes data abnormality.

[0016] Secondly, embodiments of this application provide a monitoring device for a gearbox lubrication and cooling system, comprising: a data acquisition module, used to acquire multiple sets of gearbox monitoring data of a wind turbine generator in a wind farm during a first time period and multiple sets of gearbox monitoring data during a second time period, each set of gearbox monitoring data corresponding to a timestamp, each set of gearbox monitoring data including power data, gearbox pressure data, and gearbox temperature data, the first time period being before the second time period; a trend data processing module, used to obtain first trend data of gearbox pressure data and second trend data of gearbox temperature data of the wind turbine generator in each power range based on a preset power range, the multiple sets of gearbox monitoring data during the first time period, and the multiple sets of gearbox monitoring data during the second time period; an abnormal threshold parameter determination module, used to obtain an abnormal threshold parameter based on the distribution of the first trend data and the second trend data; and a fault determination module, used to determine a gearbox lubrication and cooling fault of the wind turbine generator by comparing the first trend data and the second trend data with the abnormal threshold parameter.

[0017] Thirdly, embodiments of this application provide a monitoring device for a gearbox lubrication and cooling system, comprising: a processor and a memory storing computer program instructions; the processor executes the computer program instructions to implement the monitoring method for the gearbox lubrication and cooling system of the first aspect.

[0018] Fourthly, embodiments of this application provide a computer-readable storage medium storing computer program instructions, which, when executed by a processor, implement the gearbox lubrication and cooling system monitoring method of the first aspect.

[0019] This application provides a monitoring method, apparatus, device, and medium for a gearbox lubrication and cooling system. It acquires gearbox monitoring data for a first time period and a second time period. Based on power ranges and power data within the gearbox monitoring data, it divides the gearbox pressure and temperature data into compartments, obtaining first trend data reflecting the changing trend of gearbox pressure data and second trend data reflecting the changing trend of gearbox temperature data for each power range. An anomaly threshold parameter is determined based on the distribution of the first and second trend data to identify abnormal data. By comparing the first and second trend data with the anomaly threshold parameter, a gearbox lubrication and cooling fault in a wind turbine can be identified. The first and second trend data reflect the changing trends of gearbox pressure-related data and gearbox temperature-related data. Identifying gearbox lubrication and cooling faults through these trends effectively captures faults during their development, thereby improving the timeliness of fault diagnosis in the gearbox lubrication and cooling system. Attached Figure Description

[0020] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1 A flowchart illustrating a monitoring method for a gearbox lubrication and cooling system provided in an embodiment of this application;

[0022] Figure 2 A schematic diagram illustrating an example of gearbox inlet pressure data provided in an embodiment of this application;

[0023] Figure 3 A flowchart illustrating a monitoring method for a gearbox lubrication and cooling system provided in another embodiment of this application;

[0024] Figure 4A flowchart of a monitoring method for a gearbox lubrication and cooling system provided in another embodiment of this application;

[0025] Figure 5 A flowchart of a monitoring method for a gearbox lubrication and cooling system provided in yet another embodiment of this application;

[0026] Figure 6 A flowchart illustrating an example of the monitoring process for a gearbox lubrication and cooling system provided in an embodiment of this application;

[0027] Figure 7 This is a schematic diagram of the structure of a monitoring device for a gearbox lubrication and cooling system provided in an embodiment of this application;

[0028] Figure 8 This is a schematic diagram of the structure of a monitoring device for a gearbox lubrication and cooling system provided in an embodiment of this application. Detailed Implementation

[0029] The features and exemplary embodiments of various aspects of this application will be described in detail below. To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain this application and not to limit it. For those skilled in the art, this application can be implemented without some of these specific details. The following description of the embodiments is merely to provide a better understanding of this application by illustrating examples.

[0030] A wind turbine is a large-scale device that converts wind energy into electrical energy. The gearbox of a wind turbine converts the rotation of the rotor under wind power into rotation at a speed suitable for the generator's operation, thus producing electricity. The gearbox lubrication and cooling system lubricates the gears and bearings inside the gearbox and cools the gearbox using the lubricant. Faults in the gearbox lubrication and cooling system, such as insufficient lubricating oil, lubricating oil contamination, and damaged temperature control valves, can lead to overheating and wear in the gearbox, accelerating the aging and damage of gearbox components and increasing the gearbox failure rate. Therefore, fault monitoring of the gearbox lubrication and cooling system has become a key concern. However, current monitoring mainly relies on real-time oil temperature and pressure data and preset alarm thresholds, which often only detects faults some time after they have occurred, failing to provide timely detection. For example, the alarm threshold for oil temperature is 80℃. Current fault detection methods only identify a fault when the oil temperature exceeds 80℃, but in reality, a fault has already occurred as the oil temperature gradually approaches 80℃. Therefore, current fault detection methods have a significant time delay in fault monitoring. Furthermore, the sensors used to monitor specific data in current fault detection methods are expensive and easily affected by environmental and operating conditions, leading to decreased monitoring effectiveness. Moreover, current fault detection methods are not precise enough in locating the fault type. For instance, if the actual fault is a blockage in the gearbox lubrication and cooling system's oil circuit, but this fault manifests as an increase in oil temperature, it will be incorrectly identified as an oil temperature fault.

[0031] This application provides a monitoring method, device, equipment, and medium for a gearbox lubrication and cooling system. Taking a wind farm as a whole, it acquires power data, pressure data, and temperature data of wind turbines in the wind farm through a Supervisory Control and Data Acquisition (SCADA) system, obtains the distribution characteristics of the changing trends of pressure and temperature data, and accurately monitors the status of the gearbox lubrication and cooling system based on the distribution characteristics of the changing trends, so as to detect faults in a timely manner for early warning and protect the safety of the gearbox lubrication and cooling system.

[0032] The monitoring methods, devices, equipment, and media of the gearbox lubrication and cooling system provided in this application are described below.

[0033] The first aspect of this application provides a monitoring method for a gearbox lubrication and cooling system, which can be applied to scenarios for fault detection of the gearbox lubrication system. The monitoring method for the gearbox lubrication and cooling system can be executed by a monitoring device or equipment for the gearbox lubrication and cooling system. Figure 1 A flowchart of a monitoring method for a gearbox lubrication and cooling system provided in an embodiment of this application is shown below. Figure 1 As shown, the monitoring method for the gearbox lubrication and cooling system may include steps S101 to S104.

[0034] In step S101, multiple sets of gearbox monitoring data of wind turbine generators in the wind farm during the first time period and multiple sets of gearbox monitoring data during the second time period are acquired.

[0035] The first time period precedes the second time period. In some examples, the first time period is longer than the second time period; for instance, the first time period may be 2 / 3 the sum of the first and second time periods, and the second time period may be 1 / 3 the sum of the first and second time periods. For example, if gearbox monitoring data is acquired from the 1st to the 15th of a month, the first time period could be from the 1st to the 10th of the month, and the second time period could be from the 11th to the 15th of the month. Gearbox monitoring data can be obtained from a SCADA system, which can acquire gearbox monitoring data in real time according to the data acquisition cycle. The monitoring device for the gearbox lubrication and cooling system can acquire this gearbox monitoring data from the SCADA system. Multiple sets of gearbox monitoring data in the first time period can be considered as a control dataset, and multiple sets of gearbox monitoring data in the second time period can be considered as an evaluation dataset.

[0036] Each set of gearbox monitoring data corresponds to a timestamp. The timestamp of a set of gearbox monitoring data indicates the time when this set of gearbox monitoring data was collected. Each set of gearbox monitoring data includes power data, gearbox pressure data, and gearbox temperature data. Power data characterizes the active power of the wind turbine. Gearbox pressure data may include gearbox-related pressure data, such as, but not limited to, gearbox inlet pressure, gearbox oil pump outlet pressure, gearbox filter inlet pressure, and gearbox filter outlet pressure. In the gearbox lubrication and cooling system, lubricating oil flows from the oil sump to the filter, and then through the filter to the oil pump. Gearbox inlet pressure characterizes the outlet pressure of the oil sump. Gearbox oil pump outlet pressure characterizes the inlet pressure of the oil pump. Gearbox filter inlet pressure characterizes the pressure before the filter. Gearbox filter outlet pressure characterizes the pressure after the filter. Gearbox temperature data may include gearbox-related temperature data, such as, but not limited to, gearbox rear shaft temperature, gearbox drive-end bearing temperature, gearbox high-speed shaft rear shaft temperature, gearbox high-speed shaft front shaft temperature, gearbox inlet oil temperature, gearbox non-drive-end bearing temperature, and gearbox oil temperature. Here, the drive-end bearing is connected to the wind turbine impeller, the non-drive-end bearing is shorter than the drive-end bearing, the high-speed shaft front shaft is connected to the gears in the gearbox, and the high-speed shaft rear shaft is connected to the wind turbine generator.

[0037] After acquiring gearbox monitoring data, data cleaning can be performed to remove abnormal data. Data containing null values ​​can be deleted; for example, rows containing null values ​​can be deleted, as can columns containing only null values. It can also be checked whether each type of gearbox pressure and temperature data remains constant. If such constant data exists, the data acquisition for that type of gearbox pressure and temperature data is considered abnormal, and a data anomaly alert can be issued. It can also be checked whether the measurement points provided by the SCADA system for collecting gearbox pressure and temperature data exist. If the measurement points do not exist, subsequent monitoring cannot proceed. It can also be checked whether the gearbox pressure and temperature data exceed the data threshold range of the wind turbine, and gearbox monitoring data exceeding the data threshold range will be deleted. After data cleaning, if the number of gearbox monitoring data sets is greater than or equal to the number of valid sets, subsequent steps can proceed; if the number of gearbox monitoring data sets is less than the number of valid sets, data acquisition must continue, and the above data cleaning process must be repeated.

[0038] In some examples, gearbox monitoring data for gearboxes under maintenance in the first and second time periods can be deleted to avoid data abrupt changes caused by gearbox maintenance, thereby avoiding adverse effects on the monitoring results of the gearbox lubrication and cooling system.

[0039] In step S102, based on the preset power range, multiple sets of gearbox monitoring data in the first time period, and multiple sets of gearbox monitoring data in the second time period, the first trend data of gearbox pressure data and the second trend data of gearbox temperature data of the wind turbine are obtained in each power range.

[0040] To facilitate data processing, gearbox monitoring data can be resampled, and gearbox pressure and temperature data can be segmented based on preset power ranges and the power data within the monitoring data. The required power range for segmentation can be set according to a preset power segmentation step size, which can be set based on scenarios, requirements, experience, etc. For example, the power segmentation step size can be 20kW. Using the average value of the segmented gearbox pressure data, data reflecting the changing trend of gearbox pressure data is obtained, i.e., the first trend data; using the average value of the segmented gearbox temperature data, data reflecting the changing trend of gearbox temperature data is obtained, i.e., the second trend data.

[0041] In step S103, an anomaly threshold parameter is obtained based on the distribution of the first trend data and the distribution of the second trend data.

[0042] The distribution of the first trend data can be reflected by the average and variance of the first trend data of each wind turbine within the same power range. Similarly, the distribution of the second trend data can be reflected by the average and variance of the second trend data of each wind turbine within the same power range. Based on the distribution of the first trend data, anomaly threshold parameters related to gearbox pressure data can be obtained. Based on the distribution of the second trend data, anomaly threshold parameters related to gearbox temperature data can be obtained. These anomaly threshold parameters can identify relatively abnormal trend data. There can be multiple anomaly threshold parameters, such as those corresponding to gearbox pressure data and gearbox temperature data. Furthermore, each type of gearbox pressure data can have a corresponding anomaly threshold parameter, and each type of gearbox temperature data can have a corresponding anomaly threshold parameter.

[0043] In step S104, the gearbox lubrication and cooling fault of the wind turbine is determined by comparing the first trend data and the second trend data with the abnormal threshold parameters.

[0044] By comparing the first and second trend data with the corresponding abnormal threshold parameters, relatively abnormal trend data among the first trend data of various gearbox pressure data and relatively abnormal trend data among the second trend data of various gearbox temperature data can be obtained. By combining the relatively abnormal trend data from the first and second trends of various gearbox pressure data and various gearbox temperature data for fault diagnosis, it is possible to determine whether a fault has occurred in the gearbox lubrication and cooling system of the wind turbine, and what type of gearbox lubrication and cooling fault has occurred.

[0045] After a gearbox lubrication and cooling fault in a wind turbine is identified, the fault can be displayed, for example, as a visual diagram, providing the operator with a more intuitive understanding of the problem. An alarm message can also be issued to prompt the operator to take appropriate action.

[0046] In this embodiment, gearbox monitoring data for a first time period and a second time period can be acquired. Based on the power range and the power data within the gearbox monitoring data, the gearbox pressure and temperature data are segmented, resulting in first trend data reflecting the changing trend of gearbox pressure data and second trend data reflecting the changing trend of gearbox temperature data for each power range. An anomaly threshold parameter is determined based on the distribution of the first and second trend data to identify abnormal data. By comparing the first and second trend data with the anomaly threshold parameter, a gearbox lubrication and cooling fault in the wind turbine can be identified. The first and second trend data reflect the changing trends of gearbox pressure-related data and gearbox temperature-related data. Identifying gearbox lubrication and cooling faults through these trends effectively captures faults during their development, enabling timely fault detection and improving the timeliness of fault determination in the gearbox lubrication and cooling system. Furthermore, the embodiments of this application can accurately locate gearbox lubrication and cooling faults, pinpointing the type of component problem and the extent of damage. This allows for the adoption of appropriate operation and maintenance strategies, facilitating efficient operation and maintenance. It also prevents problems such as component damage, performance degradation, and reduced service life caused by wind turbines operating under abnormal environments for extended periods, improving fault identification accuracy, reducing operation and maintenance costs, and minimizing power generation losses. Moreover, by utilizing real-time gearbox monitoring data from a SCADA system, no additional sensors are required, further reducing monitoring costs and expanding the monitoring range.

[0047] For example, if we select a scenario where the gearbox lubrication and cooling system of a wind turbine in a wind farm experiences oil circuit blockage, we can obtain the following... Figure 2 The data for the gearbox inlet pressure shown are in Figure 2 In the graph, the horizontal axis represents power, and the vertical axis represents gearbox inlet pressure. The dots represent the gearbox inlet pressure of the wind turbines in the wind farm during the first time period. The solid red line represents the gearbox inlet pressure predicted using current technologies during the second time period. The solid yellow line represents the actual gearbox inlet pressure during the second time period, and the dashed green line represents the warning boundary line for gearbox inlet pressure. Figure 2 It is known that the gearbox inlet pressure predicted by the current prediction scheme in the second time period is inaccurate. Although the predicted gearbox inlet pressure in the second time period is lower than the warning boundary line of the gearbox inlet pressure, the actual gearbox inlet pressure in the second time period is much higher than the warning boundary line. However, the gearbox lubrication and cooling system monitoring method provided in this application embodiment can accurately predict the fault and locate the oil circuit blockage fault, which is consistent with the actual fault type.

[0048] In some embodiments, the average values ​​of the gearbox pressure data and gearbox temperature data after compartmentation can be used to obtain the first trend data and the second trend data. Figure 3 A flowchart illustrating a monitoring method for a gearbox lubrication and cooling system according to another embodiment of this application. Figure 3 and Figure 1 The difference is that, Figure 1 Step S102 can be further refined as follows: Figure 3 Steps S1021 to S1023 in the process.

[0049] In step S1021, multiple sets of gearbox monitoring data in the first time period and multiple sets of gearbox monitoring data in the second time period are resampled respectively.

[0050] A preset resampling period can be used as a time window. Multiple sets of gearbox monitoring data within the first time period are resampled according to the window's movement step size. The mean is then calculated for smoothing, resulting in the resampled gearbox monitoring data for the first time period. Similarly, the resampling period can be used as a time window, and multiple sets of gearbox monitoring data within the second time period are resampled according to the window's movement step size. The mean is then calculated for smoothing, resulting in the resampled gearbox monitoring data for the second time period.

[0051] In step S1022, according to the power range to which the power data belongs, and based on the gearbox monitoring data obtained after resampling, the first average pressure data and the first average temperature data of the wind turbine in the first time period of each power range, as well as the second average pressure data and the second average temperature data in the second time period are calculated.

[0052] According to the power range, the gearbox monitoring data resampled in the first time period and the gearbox monitoring data resampled in the second time period are divided into separate compartments. The first average pressure data includes the average gearbox pressure data resampled in the first time period after compartmentation, and the first average temperature data includes the average gearbox temperature data resampled in the first time period after compartmentation. The second average pressure data includes the average gearbox pressure data resampled in the second time period after compartmentation, and the second average temperature data includes the average gearbox temperature data resampled in the second time period after compartmentation. The first average pressure data and the second average pressure data corresponding to each type of gearbox pressure data, as well as the first average temperature data and the second average temperature data corresponding to each type of gearbox temperature data, can be presented in the form of a data matrix. For example, taking the gearbox oil temperature in the gearbox monitoring data as an example, the first average temperature data corresponding to the gearbox oil temperature in the first time period can be shown in the following formula (1), and the second average temperature data corresponding to the gearbox oil temperature in the second time period can be shown in the following formula (2):

[0053]

[0054] Among them, X temperatrue This represents the average temperature data corresponding to the gearbox oil temperature during the first time period; x i,j Y represents the average gearbox oil temperature of the i-th wind turbine in the j-th power range during the first time period; temperatrue This represents the average second temperature data corresponding to the gearbox oil temperature during the second time period; y i,j This represents the average gearbox oil temperature of the i-th wind turbine in the j-th power range during the second time period.

[0055] In step S1023, the first trend data and the second trend data are obtained based on the difference between the second average pressure data and the first average pressure data, and the difference between the second average temperature data and the first average temperature data.

[0056] The first trend data reflects the change trend of gearbox pressure data over time, and the second trend data reflects the change trend of gearbox temperature data over time. In some examples, the first trend data includes the difference between the second average pressure data and the first average pressure data of the same wind turbine within the same power range, and the second trend data includes the difference between the second average temperature data and the first average temperature data of the same wind turbine within the same power range. For example, taking the gearbox oil temperature in the gearbox monitoring data as an example, the second trend parameter corresponding to the gearbox oil temperature can be shown in the following formula (3):

[0057]

[0058] Among them, R temperatrue This is the second trend parameter corresponding to the gearbox oil temperature; the definitions of other parameters can be found in the relevant descriptions in the above embodiments, and will not be repeated here.

[0059] Similar to the method used to obtain the second trend data of gearbox oil temperature in the above embodiments, the first trend data R of gearbox inlet pressure can also be calculated. press_in First trend data on the change of gearbox oil pump outlet pressure R press_out First trend data of gearbox filter inlet pressure R press_filterin First trend data on the change of gearbox filter outlet pressure R press_filterout Second trend data of gearbox rear shaft temperature R temperatrue_backbearing Second trend data of gearbox drive end bearing temperature R temperatrue_drive Second trend data on the temperature variation of the rear shaft of the high-speed gearbox R temperatrue_highspeedback Second trend data on the temperature variation of the front shaft of the high-speed gearbox R temperatrue_highspeedfrontSecond trend data of gearbox inlet oil temperature R temperatrue_inLetOil Second trend data on the temperature variation of the non-drive end bearing of the gearbox R temperatrue_nondrive .

[0060] In some embodiments, the abnormality threshold parameters may include an upper pressure threshold, a lower pressure threshold, and an upper temperature threshold. The upper pressure threshold may be an upper limit value for pressure data used to determine abnormalities, and the lower pressure threshold may be a lower limit value for pressure data used to determine abnormalities, with the upper pressure threshold being greater than the lower pressure threshold. The upper temperature threshold may be an upper limit value for temperature data used to determine abnormalities. Figure 4 A flowchart illustrating a monitoring method for a gearbox lubrication and cooling system provided in another embodiment of this application. Figure 4 and Figure 1 The difference is that, Figure 1 Step S103 can be further refined as follows: Figure 4 Steps S1031 to S1033 in the process.

[0061] In step S1031, the first average value and first variance of the first trend data of the wind turbines in the wind farm are calculated, as well as the second average value and second variance of the second trend data.

[0062] The first average value may include the average of the first trend data of multiple wind turbines within the same power range. The first variance may include the variance of the first trend data of multiple wind turbines within the same power range. The second average value may include the average of the second trend data of multiple wind turbines within the same power range. The second variance may include the variance of the second trend data of multiple wind turbines within the same power range. For example, taking gearbox oil temperature in gearbox monitoring data as an example, the second average value and second variance corresponding to gearbox oil temperature can be presented in the form of a data matrix, as shown in the following formula (4):

[0063]

[0064] Among them, S temperatrue This can be viewed as the distribution of the second trend data corresponding to gearbox oil temperature; μ j The second average value is the average of the second trend data of gearbox oil temperature of multiple wind turbine units within the j-th power range. It can be obtained by calculating the average value of each column of data in the above formula (3); δ j The variance of the second trend data of gearbox oil temperature of multiple wind turbine units in the j-th power range is the second variance, which can be obtained by calculating the variance of each column of data in the above formula (3).

[0065] Similar to the method used to obtain the distribution of the second trend data of gearbox oil temperature in the above embodiments, the distribution S of the first trend data of gearbox inlet pressure can also be calculated. press_in Distribution of the first trend data of change in gearbox oil pump outlet pressure S press_out Distribution of the first trend data of gearbox filter inlet pressure S press_filterin Distribution of the first trend data of change in the outlet pressure of the gearbox filter screen S press_filterout Distribution of the second trend data of gearbox rear axle temperature S temperatrue_backbearing Distribution of the second trend data of gearbox drive end bearing temperature temperatrue_drive Distribution of the second trend data of gearbox high-speed shaft rear shaft temperature S temperatrue_highspeedback Distribution of the second trend data of gearbox high-speed shaft front shaft temperature S temperatrue_highspeedfront Distribution of the second trend data of gearbox inlet oil temperature S temperatrue_inLetOil Distribution of the second trend data of temperature variation of the non-drive end bearing of the gearbox S temperatrue_nondrive .

[0066] In step S1032, the upper pressure threshold and the lower pressure threshold are obtained based on the first average value and the first variance.

[0067] The upper and lower pressure thresholds can be obtained using the mean-n-standard-deviation principle, based on the first mean and the first variance, where n is a positive integer. For example, the mean-3-standard-deviation principle or the mean-2-standard-deviation principle can be used; the specific approach is not limited here. Each type of gearbox pressure data can correspond to one upper pressure threshold and one lower pressure threshold. For instance, if the mean-3-standard-deviation principle is used, the upper pressure threshold corresponding to a type of gearbox pressure data can be the sum of the first mean and three times the first variance of that gearbox pressure data, and the lower pressure threshold corresponding to that gearbox pressure data can be the difference between the first mean and three times the first variance of that gearbox pressure data.

[0068] In step S1033, the upper temperature threshold is obtained based on the second average value and the second variance.

[0069] The upper temperature threshold can be obtained using the mean-n times standard deviation principle, based on the second mean and the second variance, where n is a positive integer. The mean-n times standard deviation principle can be found in the relevant explanations in the above embodiments and will not be repeated here. Each type of gearbox temperature data can correspond to a single upper temperature threshold. For example, if the mean-3 times standard deviation principle is used, the upper temperature threshold corresponding to a type of gearbox temperature data can be the sum of the second mean and 3 times the second variance of that gearbox temperature data.

[0070] In some embodiments, auxiliary data for determining gearbox lubrication and cooling failures can be obtained by measuring the amount of data in the first and second trend data that exceed an abnormal threshold parameter. Figure 5 This is a flowchart of a monitoring method for a gearbox lubrication and cooling system provided in another embodiment of this application. Figure 5 and Figure 1 The difference is that, Figure 1 Step S104 can be further refined as follows: Figure 5 Steps S1041 to S1043 in the process.

[0071] In step S1041, the first amount of the first trend data of the wind turbine exceeding the abnormal threshold parameter is counted, and the second amount of the second trend data exceeding the abnormal threshold parameter is counted.

[0072] First trend data exceeding the abnormal threshold parameter can be considered abnormal first trend data; the first data volume includes the number of first trend data exceeding the abnormal threshold parameter. Similarly, second trend data exceeding the abnormal threshold parameter can be considered abnormal second trend data; the second data volume includes the number of second trend data exceeding the abnormal threshold parameter. It should be noted that the first trend data and the second trend data are different, and the abnormal threshold parameter corresponding to the first trend data and the abnormal threshold parameter corresponding to the second trend data may be different; the abnormal threshold parameter corresponding to different types of first trend data may be different; the abnormal threshold parameter corresponding to different types of second trend data may be different.

[0073] In some examples, the first data volume may include the sum of the number of first trend data points corresponding to each power range that exceed the abnormal threshold parameter. The second data volume may include the sum of the number of second trend data points corresponding to each power range that exceed the abnormal threshold parameter.

[0074] For example, the first data volume includes the first sub-data volume where the first trend data is greater than the upper limit of the pressure threshold. Taking the gearbox pressure data, which includes the gearbox inlet pressure, gearbox oil pump outlet pressure, gearbox filter inlet pressure, and gearbox filter outlet pressure, as an example, the first sub-data volume can be obtained according to the following formulas (5) to (7):

[0075]

[0076] Among them, Result press-pThe first sub-data volume is represented by z1, z2, z3, and z4, which represent the gearbox inlet pressure, gearbox oil pump outlet pressure, gearbox filter inlet pressure, and gearbox filter outlet pressure, respectively. c1, c2, c3, and c4 represent the data volume where the gearbox inlet pressure exceeds the corresponding upper pressure threshold, the gearbox oil pump outlet pressure exceeds the corresponding upper pressure threshold, the gearbox filter inlet pressure exceeds the corresponding upper pressure threshold, and the gearbox filter outlet pressure exceeds the corresponding upper pressure threshold, respectively. k f(x) is the difference between the first trend data of the pressure data of the i-th type of gearbox in the k-th power range and the upper limit threshold of the pressure; f(x) is an indicator function, the specific definition of which is given in equation (7) above.

[0077] For example, the first data volume includes a second sub-data volume where the first trend data is less than the lower pressure threshold. Taking gearbox pressure data including gearbox inlet pressure, gearbox oil pump outlet pressure, gearbox filter inlet pressure, and gearbox filter outlet pressure as an example, the second sub-data volume can be obtained according to the following formulas (8) and (9):

[0078]

[0079] Among them, Result press-p The second sub-data volume is represented by z1, z2, z3, and z4, which represent the gearbox inlet pressure, gearbox oil pump outlet pressure, gearbox filter inlet pressure, and gearbox filter outlet pressure, respectively. d1, d2, d3, and d4 represent the data volume where the gearbox inlet pressure is less than the corresponding lower pressure threshold, the gearbox oil pump outlet pressure is less than the corresponding upper pressure threshold, the gearbox filter inlet pressure is less than the corresponding lower pressure threshold, and the gearbox filter outlet pressure is less than the corresponding lower pressure threshold, respectively. k f(l) represents the difference between the first trend data of the pressure data of the i-th type of gearbox in the k-th power range and the lower limit threshold pressure; k The definition of ) can be found in equation (7) above, and will not be repeated here.

[0080] For example, the second data volume includes a third sub-data volume where the second trend data is greater than the upper temperature threshold. Taking the gearbox temperature data, which includes the gearbox rear shaft temperature, gearbox drive end bearing temperature, gearbox high-speed shaft rear shaft temperature, gearbox high-speed shaft front shaft temperature, gearbox inlet oil temperature, and gearbox non-drive end bearing temperature, as an example, the third sub-data volume can be obtained according to the following formula (10):

[0081]

[0082] Among them, Result temperature-pThe third sub-data volume is represented; t1 to t6 represent the gearbox rear shaft temperature, gearbox drive end bearing temperature, gearbox high-speed shaft rear shaft temperature, gearbox high-speed shaft front shaft temperature, gearbox inlet oil temperature, and gearbox non-drive end bearing temperature, respectively; e1 to e6 represent the data volume of the gearbox rear shaft temperature exceeding the corresponding upper temperature threshold, the data volume of the gearbox drive end bearing temperature exceeding the corresponding upper temperature threshold, the data volume of the gearbox high-speed shaft rear shaft temperature exceeding the corresponding upper temperature threshold, the data volume of the gearbox high-speed shaft front shaft temperature exceeding the corresponding upper temperature threshold, the data volume of the gearbox inlet oil temperature exceeding the corresponding upper temperature threshold, and the data volume of the gearbox non-drive end bearing temperature exceeding the corresponding upper temperature threshold, respectively; e i The calculation can be found in the calculation methods of equations (6) and (7) above, and will not be repeated here.

[0083] In step S1042, the first data volume, the second data volume, and the corresponding preset abnormal threshold are compared to obtain the first intermediate result.

[0084] Preset anomaly thresholds are used to determine whether anomalies are common. These thresholds can be set based on the scenario, requirements, and experience, and will not be elaborated upon here. The preset anomaly thresholds for the first data volume of different types of gearbox pressure data may differ, as may the preset anomaly thresholds for the second data volume of different types of gearbox temperature data. Furthermore, the preset anomaly thresholds for the first and second data volumes may differ. The first intermediate result may include a comparison between the first data volume and its corresponding preset anomaly threshold, and a comparison between the second data volume and its corresponding preset anomaly threshold. For example, the comparison result between the first data volume and its corresponding preset anomaly threshold may include the magnitude relationship between the two data volumes, and the comparison result between the second data volume and its corresponding preset anomaly threshold may include the magnitude relationship between the two data volumes.

[0085] In step S1043, based on the first intermediate result, a gearbox lubrication and cooling failure of the wind turbine is determined.

[0086] The first intermediate result can reflect the distribution of abnormal data in the first trend data, and also the distribution of abnormal data in the second trend data. Based on the abnormalities in the trends of gearbox pressure data and gearbox temperature data, it can be determined whether the wind turbine has experienced a gearbox lubrication and cooling failure, and the specific type of such failure.

[0087] In some examples, the first data volume includes a first sub-data volume where the first trend data is greater than the upper pressure threshold and a second sub-data volume where the first trend data is less than the lower pressure threshold. The second data volume includes a third sub-data volume where the second trend data is greater than the upper temperature threshold. Gearbox lubrication and cooling failures are associated with sub-data volumes greater than the corresponding preset abnormal thresholds, which include the first, second, and third sub-data volumes. Gearbox lubrication and cooling failures include at least one of the following: oil circuit blockage, oil circuit leakage, and temperature control valve malfunction. The first sub-data volume can reflect an abnormality of excessively high gearbox pressure data, the second sub-data volume can reflect an abnormality of excessively low gearbox pressure data, and the third sub-data volume can reflect an abnormality of excessively high gearbox temperature data. By combining the above three abnormalities, it can be determined whether the wind turbine has experienced a gearbox lubrication and cooling failure, and which one or more of the following: oil circuit blockage, oil circuit leakage, and temperature control valve malfunction.

[0088] By combining the results of whether the first sub-data volume is greater than the corresponding preset abnormal threshold, whether the second sub-data volume is greater than the corresponding preset abnormal threshold, and whether the third sub-data volume is greater than the corresponding preset abnormal threshold, the specific type of gearbox lubrication and cooling fault can be determined.

[0089] If the first intermediate result indicates that only the first sub-data value is greater than the corresponding preset anomaly threshold, the gearbox lubrication and cooling fault includes an oil circuit blockage fault. The first intermediate result indicating that only the first sub-data value is greater than the corresponding preset anomaly threshold means that the first sub-data value is greater than the corresponding preset anomaly threshold, but the second and third sub-data values ​​are less than or equal to the corresponding preset anomaly thresholds. The first intermediate result indicating that only the first sub-data value is greater than the corresponding preset anomaly threshold indicates that abnormally high gearbox pressure data is relatively common, while abnormally low gearbox pressure data and abnormally high gearbox temperature data are relatively rare. This situation is highly likely caused by oil circuit blockage, and the gearbox lubrication and cooling fault can be identified as an oil circuit blockage fault.

[0090] If the first intermediate result indicates that only the second sub-data value is greater than the corresponding preset anomaly threshold, the gearbox lubrication and cooling fault includes oil circuit leakage or temperature control valve malfunction. If the first intermediate result indicates that only the second sub-data value is greater than the corresponding preset anomaly threshold, it means that the second sub-data value is greater than the corresponding preset anomaly threshold, but the first sub-data value and the third sub-data value are less than or equal to the corresponding preset anomaly threshold. If the first intermediate result indicates that only the second sub-data value is greater than the corresponding preset anomaly threshold, it means that anomalies such as excessively low gearbox pressure data are more common, while anomalies such as excessively high gearbox pressure data and excessively high gearbox temperature data are less common. This situation is highly likely caused by oil circuit leakage or temperature control valve malfunction, and the gearbox lubrication and cooling fault can be determined to be either oil circuit leakage or temperature control valve malfunction.

[0091] If the first intermediate result indicates that only the third sub-data value is greater than the corresponding preset anomaly threshold, the gearbox lubrication and cooling fault includes a temperature control valve malfunction. The first intermediate result indicating that only the third sub-data value is greater than the corresponding preset anomaly threshold means that the third sub-data value is greater than the corresponding preset anomaly threshold, but the first sub-data value is less than or equal to the corresponding preset anomaly threshold, and the second sub-data value is less than or equal to the corresponding preset anomaly threshold. This indicates that abnormally high gearbox temperature data is relatively common, while abnormally high and low gearbox pressure data are relatively rare. This situation is highly likely caused by a temperature control valve malfunction, and the gearbox lubrication and cooling fault can be identified as a temperature control valve malfunction.

[0092] If the first intermediate result indicates that the first and second sub-data values ​​are each greater than their corresponding preset anomaly thresholds, the gearbox lubrication and cooling fault includes a temperature control valve malfunction. The first intermediate result indicating that the first and second sub-data values ​​are each greater than their corresponding preset anomaly thresholds means that both the first and second sub-data values ​​are greater than their corresponding preset anomaly thresholds, but the third sub-data value is less than or equal to its corresponding preset anomaly threshold. This indicates that abnormalities such as excessively high and low gearbox pressure data are relatively common, while abnormalities such as excessively high gearbox temperature data are relatively rare. This situation is highly likely caused by a temperature control valve malfunction, and the gearbox lubrication and cooling fault can be determined to be a temperature control valve malfunction.

[0093] If the first intermediate result indicates that both the first and third sub-data values ​​are greater than their respective preset anomaly thresholds, the gearbox lubrication and cooling fault includes an oil circuit blockage fault. The first intermediate result indicating that both the first and third sub-data values ​​are greater than their respective preset anomaly thresholds means that both the first and third sub-data values ​​are greater than their respective preset anomaly thresholds, but the second sub-data value is less than or equal to its respective preset anomaly threshold. The first intermediate result indicating that both the first and third sub-data values ​​are greater than their respective preset anomaly thresholds suggests that abnormalities such as excessively high gearbox pressure and excessively high gearbox temperature are relatively common, while abnormalities such as excessively low gearbox pressure are relatively rare. This situation is highly likely caused by oil circuit blockage, and the gearbox lubrication and cooling fault can be identified as an oil circuit blockage fault.

[0094] If the first intermediate result indicates that the second and third sub-data values ​​are each greater than their corresponding preset anomaly thresholds, the gearbox lubrication and cooling fault includes oil circuit leakage or temperature control valve malfunction. The first intermediate result indicating that the second and third sub-data values ​​are each greater than their corresponding preset anomaly thresholds means that both the second and third sub-data values ​​are greater than their respective preset anomaly thresholds, but the first sub-data value is less than or equal to its corresponding preset anomaly threshold. The first intermediate result indicating that the second and third sub-data values ​​are each greater than their respective preset anomaly thresholds suggests that abnormally low gearbox pressure data and abnormally high gearbox temperature data are more common, while abnormally high gearbox pressure data is less common. This situation is highly likely caused by oil circuit leakage or temperature control valve malfunction, thus confirming the gearbox lubrication and cooling fault as either an oil circuit leakage or temperature control valve malfunction.

[0095] If the first intermediate result indicates that the first, second, and third sub-data values ​​are each greater than their corresponding preset anomaly thresholds, the gearbox lubrication and cooling fault includes a temperature control valve malfunction. The first intermediate result indicating that the first, second, and third sub-data values ​​are each greater than their corresponding preset anomaly thresholds means that the first, second, and third sub-data values ​​are all greater than their respective preset anomaly thresholds. This indicates that abnormalities such as excessively high gearbox pressure, excessively low gearbox pressure, and excessively high gearbox temperature are relatively common. Such situations are highly likely caused by a temperature control valve malfunction, thus confirming the gearbox lubrication and cooling fault as a temperature control valve malfunction.

[0096] If the first intermediate result indicates that the first sub-data volume, the second sub-data volume, and the third sub-data volume are each less than or equal to the corresponding preset abnormal threshold, then it can be determined that there is no gearbox lubrication and cooling fault.

[0097] In some embodiments, gearbox monitoring data may include gearbox filter inlet pressure and gearbox filter outlet pressure. In addition to the first intermediate result described above, a second intermediate result related to the pressure difference between the gearbox filter inlet pressure and the gearbox filter outlet pressure may also be referenced. The first and second intermediate results are combined to jointly determine a gearbox lubrication and cooling fault in the wind turbine. The pressure difference between the gearbox filter inlet pressure and the gearbox filter outlet pressure can be obtained; the pressure difference can be compared with a preset pressure threshold to obtain a second intermediate result; and a gearbox lubrication and cooling fault in the wind turbine can be determined based on the first and second intermediate results.

[0098] A preset pressure threshold can be used to determine whether there are any abnormalities in the gearbox filter area. This threshold can be determined based on the scenario, requirements, experience, etc., and is not limited here. The second intermediate result can include the relationship between the pressure difference and the preset pressure threshold. This second intermediate result can be used to determine whether there are any abnormalities in the gearbox filter area. Combining the first and second intermediate results allows for a more accurate identification of gearbox lubrication and cooling faults, and expands the types of gearbox lubrication and cooling faults that can be identified.

[0099] If the second intermediate result indicates that the pressure difference is greater than the preset pressure threshold, and the first intermediate result indicates that at most one of the first, second, and third sub-data values ​​is greater than the corresponding preset abnormality threshold, the gearbox lubrication and cooling fault includes a filter blockage fault. If the first intermediate result indicates that at most one of the first, second, and third sub-data values ​​is greater than the corresponding preset abnormality threshold, it means that each of the first, second, and third sub-data values ​​is less than its corresponding preset abnormality threshold, or only one of the first, second, and third sub-data values ​​is greater than its corresponding preset abnormality threshold. A pressure difference greater than the preset pressure threshold indicates an abnormality in the gearbox filter area. This situation is highly likely caused by filter blockage in the gearbox, confirming that the gearbox lubrication and cooling fault is a filter blockage fault.

[0100] If the second intermediate result indicates that the pressure difference is greater than the preset pressure threshold, and the first intermediate result indicates that only the first sub-data value is less than or equal to the corresponding preset abnormal threshold, the gearbox lubrication and cooling fault includes oil circuit leakage or temperature control valve malfunction. The first intermediate result indicating that only the first sub-data value is less than or equal to the corresponding preset abnormal threshold means that the first sub-data value is less than or equal to the corresponding preset abnormal threshold, but the second and third sub-data values ​​are greater than the corresponding preset abnormal threshold. Combining the first and second intermediate results, it can be concluded that there is an abnormality in the gearbox filter area, and abnormalities such as excessively low gearbox pressure data and excessively high gearbox temperature data are relatively common. This situation is highly likely due to oil circuit leakage or temperature control valve malfunction, thus confirming that the gearbox lubrication and cooling fault is either oil circuit leakage or temperature control valve malfunction.

[0101] If the second intermediate result indicates that the pressure difference is greater than the preset pressure threshold, and the first intermediate result indicates that only the second sub-data value is less than or equal to the corresponding preset abnormal threshold, then the gearbox lubrication and cooling fault includes a filter clogging fault. The first intermediate result indicating that only the second sub-data value is less than or equal to the corresponding preset abnormal threshold means that the second sub-data value is less than or equal to the corresponding preset abnormal threshold, but the first sub-data value and the third sub-data value are greater than the corresponding preset abnormal threshold. Combining the first and second intermediate results, it can be concluded that there is an abnormality in the gearbox filter area, and abnormalities such as excessively high gearbox pressure data and excessively high gearbox temperature data are relatively common. This situation is highly likely due to filter clogging, and the gearbox lubrication and cooling fault can be determined to be a filter clogging fault.

[0102] If the second intermediate result indicates that the pressure difference is greater than the preset pressure threshold, and the first intermediate result indicates that only the third sub-data value is less than or equal to the corresponding preset abnormal threshold, then the gearbox lubrication and cooling fault includes a data abnormality fault. The first intermediate result indicating that only the third sub-data value is less than or equal to the corresponding preset abnormal threshold means that the third sub-data value is less than or equal to the corresponding preset abnormal threshold, but the first and second sub-data values ​​are greater than the corresponding preset abnormal threshold. Combining the first and second intermediate results, it can be concluded that there is an abnormality in the gearbox filter area, and abnormalities such as excessively high and excessively low gearbox pressure data are relatively common. This situation is highly likely due to data abnormalities, and the gearbox lubrication and cooling fault can be determined as a data abnormality fault.

[0103] If the second intermediate result indicates that the pressure difference is greater than the preset pressure threshold, and the first intermediate result indicates that the first, second, and third sub-data values ​​are each greater than their corresponding preset abnormality thresholds, then the gearbox lubrication and cooling fault includes a data abnormality fault. Combining the first and second intermediate results, it can be concluded that there are abnormalities in the gearbox filter area, and abnormalities such as excessively high gearbox pressure data, excessively low gearbox pressure data, and excessively high gearbox temperature data are relatively common. This situation is highly likely due to data abnormalities, and the gearbox lubrication and cooling fault can be determined to be a data abnormality fault.

[0104] If the pressure difference represented by the second intermediate result is less than or equal to the preset pressure threshold, and the first intermediate result represents the first sub-data volume, the second sub-data volume, and the third sub-data volume, each of which is less than or equal to the corresponding preset abnormal threshold, then it can be determined that there is no gearbox lubrication and cooling fault.

[0105] If the second intermediate result indicates that the pressure difference is less than or equal to the preset pressure threshold, and the first intermediate result indicates that at least one of the first sub-data quantity, the second sub-data quantity, and the third sub-data quantity is greater than the corresponding preset abnormal threshold, then the gearbox lubrication and cooling fault can be directly determined based on the first intermediate result. For details, please refer to the above text, which will not be repeated here.

[0106] For ease of understanding, here we denote the result of whether the first sub-data volume in the first intermediate result is greater than the corresponding preset abnormal threshold as Result 1, the result of whether the second sub-data volume in the first intermediate result is greater than the corresponding preset abnormal threshold as Result 2, the result of whether the third sub-data volume in the first intermediate result is greater than the corresponding preset abnormal threshold as Result 3, and the result of whether the pressure difference in the second intermediate result is greater than the preset pressure threshold as Result 4. Corresponding to the above equations (5) to (10), Result 1 to Result 4 can be obtained according to the following equations (11) to (14):

[0107]

[0108] Among them, press_para_p i To be with c i The corresponding preset exception threshold; press_para_m i To correspond to the preset exception threshold; temperatrue_para_m i For e i The corresponding preset abnormal threshold; g i is the pressure difference value of the i-th wind turbine unit; P is the preset pressure threshold.

[0109] If Result 1, Result 2, Result 3, and Result 4 are all 0, the wind turbine is considered normal, meaning no gearbox lubrication or cooling fault was found. If only Result 1 is 1, the gearbox lubrication and cooling fault includes oil circuit blockage. If only Result 2 is 1, the gearbox lubrication and cooling fault includes oil circuit leakage or thermostatic valve malfunction. If only Result 3 is 1, the gearbox lubrication and cooling fault includes thermostatic valve malfunction. If only Result 4 is 1, the gearbox lubrication and cooling fault includes filter blockage. If only Result 1 and Result 2 are 1, the gearbox lubrication and cooling fault includes thermostatic valve malfunction. If only Result 1 and Result 3 are 1 in Result 1, Result 2, Result 3, and Result 4, then the gearbox lubrication and cooling fault includes oil circuit blockage. If only Result 1 and Result 4 are 1 in Result 1, then the gearbox lubrication and cooling fault includes filter blockage. If only Result 2 and Result 3 are 1 in Result 1, Result 2, Result 3, and Result 4, then the gearbox lubrication and cooling fault includes oil circuit leakage or thermostatic valve malfunction. If only Result 2 and Result 4 are 1 in Result 1, Result 2, Result 3, and Result 4, then the gearbox lubrication and cooling fault includes filter blockage. If only Result 3 and Result 4 are 1 in Result 1, Result 2, Result 3, and Result 4, then the gearbox lubrication and cooling fault includes filter blockage. If only Result 1 is 0 among Result 1, Result 2, Result 3 and Result 4, then the gearbox lubrication and cooling failure can be identified as either an oil circuit leak or a temperature control valve malfunction.If only Result 2 is 0 out of Result 1, Result 2, Result 3, and Result 4, then the gearbox lubrication and cooling fault includes a clogged filter. If only Result 3 is 0 out of Result 1, Result 2, Result 3, and Result 4, then the gearbox lubrication and cooling fault includes a data anomaly fault. If only Result 4 is 0 out of Result 1, Result 2, Result 3, and Result 4, then the gearbox lubrication and cooling fault includes a temperature control valve malfunction. If all four results are 1, then the gearbox lubrication and cooling fault includes a data anomaly fault.

[0110] To facilitate understanding of the monitoring process of the entire gearbox lubrication and cooling system, the following example illustrates the monitoring process of the gearbox lubrication and cooling system. Figure 6 A flowchart illustrating an example of the monitoring process for a gearbox lubrication and cooling system provided in an embodiment of this application is shown below. Figure 6 As shown, the monitoring process for the gearbox lubrication and cooling system may include steps a1 to a18.

[0111] In step a1, gearbox monitoring data is read from the SCADA system.

[0112] In step a2, the gearbox monitoring data is cleaned.

[0113] In step a3, check if the number of data sets of the cleaned gearbox monitoring data is greater than or equal to N1. N1 is the number of valid data sets. If the number of data sets of the cleaned gearbox monitoring data is greater than or equal to N1, proceed to step a4; if the number of data sets of the cleaned gearbox monitoring data is less than N1, end the process.

[0114] In step a4, the multiple sets of gearbox monitoring data are divided according to time nodes to obtain DATA1 and DATA2. DATA1 is the multiple sets of gearbox monitoring data in the first time period, and DATA2 is the multiple sets of gearbox monitoring data in the second time period.

[0115] In step a5, gearbox monitoring data with maintenance records within the last D1 days are filtered out. D1 is a positive integer and can be set according to the scenario, requirements, experience, etc.

[0116] In step a6, DATA1 and DATA2 are resampled.

[0117] In step a7, DATA1 and DATA2 are divided into compartments according to the power data, and DATA3 and DATA4 are calculated. DATA3 is the average value of the gearbox pressure data and gearbox temperature data in DATA1, and DATA4 is the average value of the gearbox pressure data and gearbox temperature data in DATA2.

[0118] In step a8, DATA5 is obtained based on DATA3 and DATA4. DATA5 includes the first trend data and the second trend data.

[0119] In step a9, the distribution characteristics of DATA5 of the wind turbines in the wind farm are calculated. The distribution characteristics may include the mean, variance, outlier threshold parameters, etc.

[0120] In step a10, an oil circuit blockage detection is performed to determine Result 1.

[0121] In step a11, the oil circuit leakage and temperature control valve abnormality detection are judged, and Result 2 is obtained.

[0122] In step a12, the gearbox temperature is detected and determined, resulting in Result 3.

[0123] In step a13, determine whether there is inlet and outlet pressure of the gearbox filter. If there is, proceed to step a14; otherwise, set Result 4 to 0.

[0124] In step a14, the data for a single wind turbine is obtained by splitting the data. This mainly involves splitting the inlet and outlet pressures of the gearbox filter.

[0125] In step a15, the filter clogging is detected and determined, resulting in Result 4.

[0126] In step a16, the gearbox lubrication and cooling failure is determined based on Result 1, Result 2, Result 3, and Result 4.

[0127] In step a17, it is determined whether a warning should be issued. If a warning is issued, proceed to step a18; otherwise, the process ends.

[0128] In step a18, a visualization of gearbox lubrication and cooling faults and abnormal data is output.

[0129] The specific details of steps a1 to a18 above can be found in the relevant descriptions in the above embodiments, and will not be repeated here.

[0130] The second aspect of this application provides a monitoring device for a gearbox lubrication and cooling system. Figure 7This is a schematic diagram of the structure of a monitoring device for a gearbox lubrication and cooling system provided in an embodiment of this application, as shown below. Figure 7 As shown, the monitoring device 200 of the gearbox lubrication and cooling system may include a data acquisition module 201, a trend data processing module 202, an abnormal threshold parameter determination module 203, and a fault determination module 204.

[0131] The data acquisition module 201 can be used to acquire multiple sets of gearbox monitoring data of wind turbine generators in the wind farm during the first time period and multiple sets of gearbox monitoring data during the second time period. Each set of gearbox monitoring data corresponds to a timestamp. Each set of gearbox monitoring data includes power data, gearbox pressure data and gearbox temperature data. The first time period is before the second time period.

[0132] The trend data processing module 202 can be used to obtain the first trend data of gearbox pressure data and the second trend data of gearbox temperature data of wind turbine in each power range based on multiple sets of gearbox monitoring data in the first time period and multiple sets of gearbox monitoring data in the second time period within a preset power range.

[0133] The anomaly threshold parameter determination module 203 can be used to obtain anomaly threshold parameters based on the distribution of the first trend data and the second trend data.

[0134] The fault determination module 204 can be used to determine the gearbox lubrication and cooling fault of the wind turbine by comparing the first trend data and the second trend data with the abnormal threshold parameters.

[0135] In some embodiments, the trend data processing module 202 may be specifically used to: resample multiple sets of gearbox monitoring data in a first time period and multiple sets of gearbox monitoring data in a second time period; calculate, based on the power range to which the power data belongs and the gearbox monitoring data obtained after resampling, the first average pressure data and the first average temperature data of the wind turbine in each power range within the first time period, and the second average pressure data and the second average temperature data within the second time period; and obtain the first trend data and the second trend data based on the difference between the second average pressure data and the first average pressure data, and the difference between the second average temperature data and the first average temperature data.

[0136] In some embodiments, the abnormal threshold parameters include an upper pressure threshold, a lower pressure threshold, and an upper temperature threshold, wherein the upper pressure threshold is greater than the lower pressure threshold.

[0137] The abnormal threshold parameter determination module 203 can be specifically used to: calculate the first average value and the first variance of the first trend data of the wind turbine in the wind farm, and the second average value and the second variance of the second trend data; obtain the upper pressure threshold and the lower pressure threshold based on the first average value and the first variance; and obtain the upper temperature threshold based on the second average value and the second variance.

[0138] In some embodiments, the fault determination module 204 may be specifically used to: count the first amount of the first trend data of the wind turbine exceeding the abnormal threshold parameter, and the second amount of the second trend data exceeding the abnormal threshold parameter; compare the first amount of data, the second amount of data and the corresponding preset abnormal threshold to obtain a first intermediate result; and determine the gearbox lubrication and cooling fault of the wind turbine based on the first intermediate result.

[0139] In some examples, the abnormal threshold parameters include an upper pressure threshold, a lower pressure threshold, and an upper temperature threshold, with the upper pressure threshold being greater than the lower pressure threshold.

[0140] The first data volume includes a first sub-data volume where the first trend data is greater than the upper pressure threshold and a second sub-data volume where the first trend data is less than the lower pressure threshold. The second data volume includes a third sub-data volume where the second trend data is greater than the upper temperature threshold.

[0141] Gearbox lubrication and cooling failures are related to sub-data quantities that exceed the corresponding preset abnormal threshold. The sub-data quantities include a first sub-data quantity, a second sub-data quantity, and a third sub-data quantity. Gearbox lubrication and cooling failures include at least one of the following: oil circuit blockage failure, oil circuit leakage failure, and temperature control valve abnormality failure.

[0142] Furthermore, if the first intermediate result indicates that only the first sub-data volume is greater than the corresponding preset anomaly threshold, the gearbox lubrication and cooling fault includes oil circuit blockage. If the first intermediate result indicates that only the second sub-data volume is greater than the corresponding preset anomaly threshold, the gearbox lubrication and cooling fault includes oil circuit leakage or temperature control valve malfunction. If the first intermediate result indicates that only the third sub-data volume is greater than the corresponding preset anomaly threshold, the gearbox lubrication and cooling fault includes temperature control valve malfunction.

[0143] If the first intermediate result indicates that the first and second sub-data values ​​are each greater than their corresponding preset anomaly thresholds, the gearbox lubrication and cooling fault includes a temperature control valve malfunction. If the first intermediate result indicates that the first and third sub-data values ​​are each greater than their corresponding preset anomaly thresholds, the gearbox lubrication and cooling fault includes an oil circuit blockage fault. If the first intermediate result indicates that the second and third sub-data values ​​are each greater than their corresponding preset anomaly thresholds, the gearbox lubrication and cooling fault includes an oil circuit leakage fault or a temperature control valve malfunction.

[0144] If the first intermediate result indicates that the first sub-data volume, the second sub-data volume, and the third sub-data volume are each greater than the corresponding preset abnormal threshold, the gearbox lubrication and cooling fault includes the abnormal fault of the temperature control valve.

[0145] In some examples, gearbox monitoring data also includes gearbox filter inlet pressure and gearbox filter outlet pressure.

[0146] The data acquisition module 201 can also be used to: acquire the pressure difference between the gearbox filter inlet pressure and the gearbox filter outlet pressure; compare the pressure difference with a preset pressure threshold to obtain a second intermediate result.

[0147] The fault determination module 204 can be specifically used to: determine the gearbox lubrication and cooling fault of the wind turbine based on the first intermediate result and the second intermediate result.

[0148] In some examples, the anomaly threshold parameters include an upper pressure threshold, a lower pressure threshold, and an upper temperature threshold, where the upper pressure threshold is greater than the lower pressure threshold. The first data volume includes a first sub-data volume where the first trend data is greater than the upper pressure threshold and a second sub-data volume where the first trend data is less than the lower pressure threshold. The second data volume includes a third sub-data volume where the second trend data is greater than the upper temperature threshold.

[0149] If the second intermediate result indicates a pressure difference greater than a preset pressure threshold, and the first intermediate result indicates that at most one of the first, second, and third sub-data values ​​is greater than the corresponding preset anomaly threshold, the gearbox lubrication and cooling fault includes a filter blockage fault. If the second intermediate result indicates a pressure difference greater than a preset pressure threshold, and the first intermediate result indicates that only the first sub-data value is less than or equal to the corresponding preset anomaly threshold, the gearbox lubrication and cooling fault includes an oil circuit leakage fault or a temperature control valve malfunction. If the second intermediate result indicates a pressure difference greater than a preset pressure threshold, and the first intermediate result indicates that only the second sub-data value is less than or equal to the corresponding preset anomaly threshold, the gearbox lubrication and cooling fault includes a filter blockage fault. If the second intermediate result indicates a pressure difference greater than a preset pressure threshold, and the first intermediate result indicates that only the third sub-data value is less than or equal to the corresponding preset anomaly threshold, the gearbox lubrication and cooling fault includes a data anomaly fault. If the second intermediate result indicates a pressure difference greater than a preset pressure threshold, and the first intermediate result indicates that the first, second, and third sub-data values ​​are each greater than their corresponding preset anomaly thresholds, the gearbox lubrication and cooling fault includes a data anomaly fault.

[0150] It should be noted that the monitoring device 200 for the gearbox lubrication and cooling system is a device corresponding to the monitoring method for the gearbox lubrication and cooling system described above. All implementation methods in the above method embodiments are applicable to the embodiments of this device and can achieve the same technical effect.

[0151] A third aspect of this application also provides a monitoring device for a gearbox lubrication and cooling system. Figure 8 This is a schematic diagram of the structure of a monitoring device for a gearbox lubrication and cooling system provided in one embodiment of this application, as shown below. Figure 8 As shown, the monitoring device 300 for the gearbox lubrication and cooling system includes a memory 301, a processor 302, and a computer program stored in the memory 301 and capable of running on the processor 302.

[0152] In some examples, the processor 302 described above may include a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits that may be configured to implement the embodiments of this application.

[0153] Memory 301 may include read-only memory (ROM), random access memory (RAM), disk storage media device, optical storage media device, flash memory device, electrical, optical, or other physical / tangible memory storage device. Therefore, typically, memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., memory devices) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it is operable to perform the operations described with reference to the monitoring method of the gearbox lubrication and cooling system according to embodiments of this application.

[0154] The processor 302 reads the executable program code stored in the memory 301 to run the computer program corresponding to the executable program code, so as to implement the gearbox lubrication and cooling system monitoring method in the above embodiment.

[0155] In some examples, the monitoring device 300 for the gearbox lubrication and cooling system may also include a communication interface 303 and a bus 304. For example, Figure 8 As shown, the memory 301, processor 302, and communication interface 303 are connected through bus 304 and complete communication with each other.

[0156] The communication interface 303 is mainly used to realize communication between various modules, devices, units and / or equipment in the embodiments of this application. Input devices and / or output devices can also be connected through the communication interface 303.

[0157] Bus 304 includes hardware, software, or both, that couples components of the monitoring device 300 for the gearbox lubrication and cooling system together. For example, and not limitingly, bus 304 may include an Accelerated Graphics Port (AGP) or other graphics bus, an Enhanced Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an Infinite Bandwidth Interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-E) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable buses, or combinations of two or more of these. Where appropriate, bus 304 may include one or more buses. Although specific buses are described and illustrated in the embodiments of this application, this application considers any suitable bus or interconnection.

[0158] A fourth aspect of this application provides a computer-readable storage medium storing computer program instructions. When executed by a processor, these instructions can implement the gearbox lubrication and cooling system monitoring method described in the above embodiments, achieving the same technical effect. To avoid repetition, further details are omitted here. The aforementioned computer-readable storage medium may include non-transitory computer-readable storage media, such as read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks, etc., and is not limited thereto.

[0159] This application provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the gearbox lubrication and cooling system monitoring method described in the above embodiments and achieves the same technical effect. To avoid repetition, it will not be described again here.

[0160] It should be clarified that the various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. For the device embodiments, equipment embodiments, computer-readable storage medium embodiments, and computer program product embodiments, the relevant parts can be referred to the description section of the method embodiments. This application is not limited to the specific steps and structures described above and shown in the figures. Those skilled in the art can make various changes, modifications, and additions, or change the order of steps, after understanding the spirit of this application. Furthermore, for the sake of brevity, detailed descriptions of known methods and techniques are omitted here.

[0161] The aspects of this application have been described above with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It should be understood that each block in the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus to produce a machine such that these instructions, executable via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions / actions specified in one or more blocks of the flowchart illustrations and / or block diagrams. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field-programmable logic circuit. It is also understood that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can also be implemented by dedicated hardware performing the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0162] Those skilled in the art will understand that the above embodiments are exemplary and not restrictive. Different technical features appearing in different embodiments can be combined to achieve beneficial effects. Based on a study of the drawings, specification, and claims, those skilled in the art should be able to understand and implement other variations of the disclosed embodiments. In the claims, the term "comprising" does not exclude other means or steps; the quantifier "a" does not exclude a plurality; the terms "first" and "second" are used to identify names and not to indicate any particular order. No reference numerals in the claims should be construed as limiting the scope of protection. The functionality of multiple parts appearing in the claims can be implemented by a single hardware or software module. The appearance of certain technical features in different dependent claims does not mean that these technical features cannot be combined to achieve beneficial effects.

Claims

1. A monitoring method for a gearbox lubrication and cooling system, characterized in that, include: Multiple sets of gearbox monitoring data of wind turbine generators in the wind farm are acquired in the first time period and multiple sets of gearbox monitoring data in the second time period. Each set of gearbox monitoring data corresponds to a timestamp. Each set of gearbox monitoring data includes power data, gearbox pressure data and gearbox temperature data. The first time period is before the second time period. Based on the preset power range, multiple sets of gearbox monitoring data in the first time period, and multiple sets of gearbox monitoring data in the second time period, the first trend data of gearbox pressure data and the second trend data of gearbox temperature data of the wind turbine are obtained in each power range. Based on the distribution of the first trend data and the distribution of the second trend data, the anomaly threshold parameter is obtained; Based on the comparison of the first trend data and the second trend data with the abnormal threshold parameter, the gearbox lubrication and cooling fault of the wind turbine is determined.

2. The method according to claim 1, characterized in that, The step of obtaining first trend data of gearbox pressure data and second trend data of gearbox temperature data of the wind turbine in each power range based on preset power ranges, multiple sets of gearbox monitoring data in the first time period, and multiple sets of gearbox monitoring data in the second time period includes: The gearbox monitoring data in the first time period and the gearbox monitoring data in the second time period are resampled respectively; Based on the power range to which the power data belongs, and the gearbox monitoring data obtained after resampling, the first average pressure data and the first average temperature data of the wind turbine in the first time period of each power range, as well as the second average pressure data and the second average temperature data in the second time period are calculated. The first trend data and the second trend data are obtained based on the difference between the second average pressure data and the first average pressure data, and the difference between the second average temperature data and the first average temperature data.

3. The method according to claim 1, characterized in that, The abnormal threshold parameters include an upper pressure threshold, a lower pressure threshold, and an upper temperature threshold, wherein the upper pressure threshold is greater than the lower pressure threshold. The abnormal threshold parameter is obtained based on the distribution of the first trend data and the distribution of the second trend data, including: Calculate the first average value and first variance of the first trend data of the wind turbines in the wind farm, and the second average value and second variance of the second trend data; The upper pressure threshold and the lower pressure threshold are obtained based on the first average value and the first variance. The upper temperature threshold is obtained based on the second average value and the second variance.

4. The method according to claim 1, characterized in that, The step of determining the gearbox lubrication and cooling fault of the wind turbine by comparing the first trend data and the second trend data with the abnormal threshold parameter includes: The first data amount of the first trend data of the wind turbine exceeding the abnormal threshold parameter is counted, and the second data amount of the second trend data exceeding the abnormal threshold parameter is counted. By comparing the first data volume, the second data volume, and the corresponding preset anomaly threshold, a first intermediate result is obtained; Based on the first intermediate result, the gearbox lubrication and cooling failure of the wind turbine unit is determined.

5. The method according to claim 4, characterized in that, The abnormal threshold parameters include an upper pressure threshold, a lower pressure threshold, and an upper temperature threshold, wherein the upper pressure threshold is greater than the lower pressure threshold. The first data volume includes a first sub-data volume in which the first trend data is greater than the upper pressure threshold and a second sub-data volume in which the first trend data is less than the lower pressure threshold. The second data volume includes a third sub-data volume in which the second trend data is greater than the upper temperature threshold. The gearbox lubrication and cooling failure is related to a sub-data quantity greater than the corresponding preset abnormal threshold. The sub-data quantity includes the first sub-data quantity, the second sub-data quantity, and the third sub-data quantity. The gearbox lubrication and cooling failure includes at least one of the following: oil circuit blockage failure, oil circuit leakage failure, and temperature control valve abnormality failure.

6. The method according to claim 5, characterized in that, If the first intermediate result indicates that only the first sub-data volume is greater than the corresponding preset abnormal threshold, the gearbox lubrication and cooling fault includes an oil circuit blockage fault; if the first intermediate result indicates that only the second sub-data volume is greater than the corresponding preset abnormal threshold, the gearbox lubrication and cooling fault includes an oil circuit leakage fault or a temperature control valve abnormal fault; if the first intermediate result indicates that only the third sub-data volume is greater than the corresponding preset abnormal threshold, the gearbox lubrication and cooling fault includes a temperature control valve abnormal fault. If the first intermediate result indicates that the first sub-data volume and the second sub-data volume are each greater than the corresponding preset abnormal threshold, the gearbox lubrication and cooling fault includes a temperature control valve abnormality fault; if the first intermediate result indicates that the first sub-data volume and the third sub-data volume are each greater than the corresponding preset abnormal threshold, the gearbox lubrication and cooling fault includes an oil circuit blockage fault; if the first intermediate result indicates that the second sub-data volume and the third sub-data volume are each greater than the corresponding preset abnormal threshold, the gearbox lubrication and cooling fault includes an oil circuit leakage fault or a temperature control valve abnormality fault. If the first intermediate result indicates that the first sub-data volume, the second sub-data volume, and the third sub-data volume are each greater than the corresponding preset abnormal threshold, the gearbox lubrication and cooling fault includes a temperature control valve abnormal fault.

7. The method according to claim 4, characterized in that, The gearbox monitoring data also includes gearbox filter inlet pressure and gearbox filter outlet pressure; The method further includes: Obtain the pressure difference between the inlet pressure of the gearbox filter and the outlet pressure of the gearbox filter; By comparing the pressure difference with a preset pressure threshold, a second intermediate result is obtained; The determination of the gearbox lubrication and cooling fault of the wind turbine based on the first intermediate result includes: Based on the first intermediate result and the second intermediate result, the gearbox lubrication and cooling failure of the wind turbine unit is determined.

8. The method according to claim 7, characterized in that, The abnormal threshold parameters include an upper pressure threshold, a lower pressure threshold, and an upper temperature threshold, wherein the upper pressure threshold is greater than the lower pressure threshold. The first data volume includes a first sub-data volume in which the first trend data is greater than the upper pressure threshold and a second sub-data volume in which the first trend data is less than the lower pressure threshold. The second data volume includes a third sub-data volume in which the second trend data is greater than the upper temperature threshold. If the second intermediate result indicates that the pressure difference is greater than the preset pressure threshold, and the first intermediate result indicates that at most one of the first sub-data volume, the second sub-data volume, and the third sub-data volume is greater than the corresponding preset abnormal threshold, the gearbox lubrication and cooling failure includes filter blockage failure. If the second intermediate result indicates that the pressure difference is greater than the preset pressure threshold, and the first intermediate result indicates that only the first sub-data volume is less than or equal to the corresponding preset abnormal threshold, the gearbox lubrication and cooling fault includes oil circuit leakage fault or temperature control valve abnormal fault; if the second intermediate result indicates that the pressure difference is greater than the preset pressure threshold, and the first intermediate result indicates that only the second sub-data volume is less than or equal to the corresponding preset abnormal threshold, the gearbox lubrication and cooling fault includes filter screen blockage fault; if the second intermediate result indicates that the pressure difference is greater than the preset pressure threshold, and the first intermediate result indicates that only the third sub-data volume is less than or equal to the corresponding preset abnormal threshold, the gearbox lubrication and cooling fault includes data abnormal fault. If the second intermediate result indicates that the pressure difference is greater than the preset pressure threshold, and the first intermediate result indicates that the first sub-data volume, the second sub-data volume, and the third sub-data volume are each greater than the corresponding preset abnormal threshold, the gearbox lubrication and cooling fault includes a data abnormality fault.

9. A monitoring device for a gearbox lubrication and cooling system, characterized in that, include: The data acquisition module is used to acquire multiple sets of gearbox monitoring data of wind turbine generators in the wind farm during the first time period and multiple sets of gearbox monitoring data during the second time period. Each set of gearbox monitoring data corresponds to a timestamp. Each set of gearbox monitoring data includes power data, gearbox pressure data and gearbox temperature data. The first time period is before the second time period. The trend data processing module is used to obtain, based on a preset power range, multiple sets of gearbox monitoring data in the first time period, and multiple sets of gearbox monitoring data in the second time period, the first trend data of gearbox pressure data and the second trend data of gearbox temperature data of the wind turbine in each power range. An anomaly threshold parameter determination module is used to obtain an anomaly threshold parameter based on the distribution of the first trend data and the second trend data. The fault determination module is used to determine the gearbox lubrication and cooling fault of the wind turbine by comparing the first trend data and the second trend data with the abnormal threshold parameter.

10. A monitoring device for a gearbox lubrication and cooling system, characterized in that, include: Processor and memory storing computer program instructions; When the processor executes the computer program instructions, it implements the monitoring method for the gearbox lubrication and cooling system as described in any one of claims 1 to 8.

11. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer program instructions that, when executed by a processor, implement the monitoring method for the gearbox lubrication and cooling system as described in any one of claims 1 to 8.

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