Early warning method, device and equipment for temperature imbalance between wind turbine generators and medium

Abstract

The invention provides an early warning method and device for temperature imbalance between wind turbine generators, equipment and a medium, and the method comprises the steps: obtaining target unit components in the wind turbine generators of the same model in a wind power plant and a plurality of target measurement point temperatures in a first time period according to a first time interval, then determining the target unit component of each wind turbine generator, and determining the target unit component of each wind turbine generator; the method comprises the following steps: determining target unit components in wind turbine units of the same model in a wind power plant according to a first temperature mean value of the temperatures of multiple target measuring points in a first time period, determining a second temperature mean value of the temperatures of the multiple target measuring points in the first time period, and determining a first temperature difference value between the second temperature mean value and the first temperature mean value; and according to the first temperature difference value, generating a temperature imbalance early warning of the corresponding wind turbine generator set in the first time period, so that potential faults existing in the wind turbine generator set can be identified in advance, corresponding countermeasures can be developed in advance for the potential faults, and losses caused by operation faults of the wind turbine generator set are effectively avoided.

Description

Technical Field

[0001] The present disclosure relates to the technical field of operation monitoring and fault symptom early warning of wind turbines, and particularly to a method, device, equipment and medium for early warning of temperature imbalance between wind turbines. Background Art

[0002] In a wind farm, a large number of wind turbines constitute the core of the power generation system, and the stability of their operating states is a key factor to ensure the efficient power generation and safe operation of the wind farm. If the temperature distribution of the same components in each wind turbine shows unevenness, this may indicate potential turbine failures, such as lubrication and cooling system failures, excessive local loads, or inconsistencies in component performance. If such problems are not identified and addressed in a timely manner, it may lead to equipment damage, thereby increasing maintenance costs, and in severe cases, it will also interfere with the normal power output of the wind farm.

[0003] Therefore, there is an urgent need to propose a method for early warning of temperature imbalance between wind turbines, so as to effectively detect early abnormal problems of different wind turbines in a wind farm before a failure occurs. Summary of the Invention

[0004] The present disclosure proposes a method, device, electronic equipment, storage medium and computer program product for early warning of temperature imbalance between wind turbines, aiming to solve the technical problems in the related art to at least a certain extent.

[0005] A first aspect embodiment of the present disclosure proposes a method for early warning of temperature imbalance between wind turbines, including: obtaining the temperatures of a plurality of target measurement points of a target turbine component in a wind turbine of the same model in a wind farm within a first time period according to a first time interval; determining a first temperature average value of the temperatures of the plurality of target measurement points of the target turbine component of each wind turbine within the first time period; determining a second temperature average value of the temperatures of the plurality of target measurement points of the target turbine component in wind turbines of the same model in a wind farm within the first time period; determining a first temperature difference between the second temperature average value and the first temperature average value; generating an early warning of temperature imbalance of the corresponding wind turbine within the first time period according to the first temperature difference.

[0006] The second aspect of the present disclosure provides an early warning device for temperature imbalance between wind turbines, including: an acquisition module, configured to acquire, according to a first time interval, temperatures of a plurality of target measurement points of a target turbine component in wind turbines of the same model in a wind farm within a first time period; a first determination module, configured to determine a first temperature average value of the temperatures of the plurality of target measurement points of the target turbine component of each wind turbine within the first time period; a second determination module, configured to determine a second temperature average value of the temperatures of the plurality of target measurement points of the target turbine component in wind turbines of the same model in a wind farm within the first time period; a third determination module, configured to determine a first temperature difference between the second temperature average value and the first temperature average value; and a generation module, configured to generate an early warning for temperature imbalance of a corresponding wind turbine within the first time period according to the first temperature difference.

[0007] The third aspect of the present disclosure provides an electronic device, including: a processor; and a memory for storing instructions executable by the processor; wherein the processor is configured to execute the instructions to implement the method for early warning of temperature imbalance between wind turbines.

[0008] The fourth aspect of the present disclosure provides a computer-readable storage medium, which, when the instructions stored therein are executed by the processor of an electronic device, enables the electronic device to execute the method for early warning of temperature imbalance between wind turbines.

[0009] The fifth aspect of the present disclosure provides a computer program product, including a computer program, characterized in that the computer program is executed by the processor to implement the method for early warning of temperature imbalance between wind turbines.

[0010] The method, device, electronic device, storage medium, and computer program product for early warning of temperature imbalance between wind turbines provided in this embodiment at least have the following beneficial effects: By acquiring, according to the first time interval, the temperatures of a plurality of target measurement points of the target turbine component in wind turbines of the same model in the wind farm within the first time period, then determining the first temperature average value of the temperatures of the plurality of target measurement points of the target turbine component of each wind turbine within the first time period, then determining the second temperature average value of the temperatures of the plurality of target measurement points of the target turbine component in wind turbines of the same model in the wind farm within the first time period, then determining the first temperature difference between the second temperature average value and the first temperature average value, and then generating an early warning for temperature imbalance of a corresponding wind turbine within the first time period according to the first temperature difference, it is possible to pre-identify potential faults existing in the wind turbines before the wind turbines have operating faults, so as to be able to take corresponding countermeasures in advance for the potential faults, thereby effectively avoiding losses caused by the operating faults of the wind turbines, and being convenient for large-scale deployment and application in wind farms, and enabling comprehensive monitoring and early warning of the temperature states of the entire wind farm turbines.

[0011] Additional aspects and advantages of the present disclosure will be given in part in the following description, become apparent in part from the following description, or be learned through the practice of the present disclosure. Description of the Drawings

[0012] The above-mentioned and / or additional aspects and advantages of the present disclosure will become apparent and be readily understood from the following description of embodiments in conjunction with the drawings, where:

[0013] Figure 1 is a schematic flowchart of a method for warning of temperature imbalance between wind turbine units according to the first embodiment of the present disclosure;

[0014] Figure 2 is an example diagram for comparing the main bearing temperatures of different wind turbine units according to an embodiment of the present disclosure;

[0015] Figure 3 is a schematic diagram of an interface for warning of temperature imbalance between wind turbine units according to an embodiment of the present disclosure;

[0016] Figure 4 is a schematic flowchart of a method for warning of temperature imbalance between wind turbine units according to the second embodiment of the present disclosure;

[0017] Figure 5 is a schematic structural diagram of an operator model for warning of temperature imbalance between wind turbine units according to an embodiment of the present disclosure;

[0018] Figure 6 is a block diagram of a device for warning of temperature imbalance between wind turbine units according to the present disclosure;

[0019] Figure 7 shows a block diagram of an exemplary electronic device suitable for implementing the embodiments of the present disclosure. Detailed Embodiments

[0020] Embodiments of the present disclosure will be described in detail below. Examples of the embodiments are shown in the drawings, where the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the drawings are exemplary only for explaining the present disclosure and should not be construed as limiting the present disclosure. On the contrary, the embodiments of the present disclosure include all variations, modifications, and equivalents falling within the spirit and scope of the appended claims.

[0021] It should be noted that the execution subject of the method for warning of temperature imbalance between wind turbine units in this embodiment may be a device for warning of temperature imbalance between wind turbine units. This device may be implemented in software and / or hardware, and this device may be configured in an electronic device. The electronic device may include, but is not limited to, a terminal, a server, etc.

[0022] It should be noted that in the technical solution of the present disclosure, the processes of obtaining, storing, using, processing, etc. of information all comply with the relevant provisions of national laws and regulations and do not violate public order and good customs.

[0023] Figure 1 is a schematic flowchart of a method for warning of temperature imbalance between wind turbines shown in the first embodiment of the present disclosure, as Figure 1 shown, the method includes:

[0024] S101: According to the first time interval, obtain the temperatures of multiple target measurement points of the target unit components in the same type of wind turbines in the wind farm within the first time period.

[0025] Among them, the target unit components of the wind turbine can be, for example: main bearing, generator, gearbox bearing and oil sump, nacelle control cabinet, generator bearing, tower base control cabinet, etc., and there is no limitation thereto.

[0026] Among them, the first time interval refers to the sampling interval for collecting the measured temperatures of the target unit components preset in advance. The first time interval can be, for example, 1 minute, 10 minutes, etc., and there is no limitation thereto.

[0027] Among them, the first time period refers to the time period for warning of temperature imbalance between wind turbines. The first time period can be adaptively set in combination with the requirements in the actual temperature imbalance warning scenario between wind turbines. The first time period can be, for example, one day, 12 hours, one week, etc., and there is no limitation thereto.

[0028] That is to say, in the embodiment of the present disclosure, when warning of temperature imbalance between wind turbines, it is possible to first select the same target unit components in multiple wind turbines of the same type in a wind farm, and then respectively collect the temperatures of multiple target measurement points of the target unit components in different wind turbines based on the first time interval within the first time period. Then, based on the target measured temperatures of the target unit components, it is determined whether a temperature imbalance situation occurs during the operation stage within the first time period for the wind turbines.

[0029] In some embodiments, according to the first time interval, the target unit components in the wind turbines of the same model in the wind farm are obtained, and the temperatures of multiple target measurement points within the first time period can be based on the initial measurement point temperatures of the target unit components collected by the sensor within the first time period based on the first time interval. After the initial measurement point temperatures are collected, due to reasons such as line interference and sensor loosening, there are null data and abnormal data in the data. Therefore, it is necessary to perform data filling alignment and abnormal data cleaning on the initial measurement point temperatures. The abnormal data cleaning work is configured in the algorithm model. Therefore, before the data is input into the algorithm model, data alignment work is first performed to ensure the quality of data input. Considering the differences in the collection frequencies of the initial measurement point temperatures or the situation of data loss due to data link problems, all the initial measurement point temperatures are filled in according to the pre-filled method according to the set time level to obtain the target measurement point temperatures.

[0030] In other embodiments, obtaining the target temperature data of each temperature measurement point can also be after the initial measurement point temperatures of each measurement point are collected by the sensor within the first time period based on the first time interval, and then screening the initial measurement point temperatures based on the operating conditions of the wind turbine to filter out the initial measurement point temperatures in the shutdown condition to obtain the remaining target measurement point temperatures.

[0031] S102: Determine the first temperature mean of the temperatures of multiple target measurement points of the target unit components of each wind turbine within the first time period.

[0032] In the embodiments of the present disclosure, after obtaining the temperatures of multiple target measurement points of the target unit components in the wind turbines of the same model in the wind farm according to the first time interval, the first temperature mean of the temperatures of multiple target measurement points of the target unit components of each wind turbine within the first time period can be determined. The determination method of this first temperature mean can be expressed as: [[ID=eleven]]

[0033]

[0034] Among them, μ is the mean value of the temperature data of each wind turbine in one day, T i is the target measurement point temperature, and M is the number of temperatures of multiple target measurement points of the target unit components of each wind turbine within the first time period.

[0035] S103: Determine the second temperature mean of the temperatures of multiple target measurement points of the target unit components in the wind turbines of the same model in a wind farm within the first time period.

[0036] In an embodiment of the present disclosure, after obtaining the temperatures of multiple target measurement points of a target unit component in wind turbines of the same model in a wind farm within a first time interval and within a first time period, a second temperature average value of the temperatures of multiple target measurement points of the target unit component in wind turbines of the same model in a wind farm within the first time period can be determined. The determination method of the second temperature average value can be expressed as:

[0037]

[0038] where σ is the average value of the temperature data of the wind turbines in each wind farm in one day (which can be freely set, such as one week, one month, etc.), T i is the temperature data, and H is the number of temperatures of multiple target measurement points of the target unit component in wind turbines of the same model in a wind farm within the first time period.

[0039] S104: Determine a first temperature difference between the second temperature average value and the first temperature average value.

[0040] In an embodiment of the present disclosure, after determining the first temperature average value of the temperatures of multiple target measurement points of the target unit component of each wind turbine within a first time period and determining the second temperature average value of the temperatures of multiple target measurement points of the target unit component in wind turbines of the same model in a wind farm within the first time period, a first temperature difference between the second temperature average value and the first temperature average value can be determined. Then, subsequent temperature imbalance warning methods between wind turbines are executed based on the first temperature difference. For details, reference can be made to the subsequent embodiments, which will not be elaborated here.

[0041] S105: Generate a temperature imbalance warning for the corresponding wind turbine within the first time period according to the first temperature difference.

[0042] In an embodiment of the present disclosure, after determining the first temperature difference between the second temperature average value and the first temperature average value, a temperature imbalance warning for the corresponding wind turbine within the first time period can be generated according to the first temperature difference.

[0043] Among them, the temperature imbalance between wind turbines means that in a wind farm, due to differences in the operating environments (such as wind speed, sunlight, terrain, etc.) and operating conditions (such as active power, rotational speed, etc.) of different wind turbines, the operating conditions of each key component are also different. Even in the same operating environment, the measured data at the same measurement points of the same components between different turbines may vary greatly. For example Figure 2 as shown, Figure 2 is a comparison example diagram of the main bearing temperatures of different turbines shown according to an embodiment of the present disclosure. Figure 2It can be seen that there are differences in the temperatures of the main bearings between different units to varying degrees. If the temperature distributions of the same components in each wind turbine are uneven, this may indicate potential equipment failures, such as lubrication and cooling system failures, excessive local loads, or inconsistencies in component performance. If such problems are not identified and addressed in a timely manner, it may lead to equipment damage, thereby increasing maintenance costs and, in severe cases, disrupting the normal power output of the wind farm.

[0044] Optionally, in some embodiments, based on the first temperature difference, a temperature imbalance warning for the corresponding wind turbine unit within the first time period is generated, and warning thresholds corresponding to each warning level are determined. Among them, there is a positive correlation between the warning level and the warning threshold. Based on the first temperature difference and the warning thresholds corresponding to each warning level, a temperature imbalance warning for the corresponding wind turbine unit within the first time period is generated.

[0045] Among them, the warning level can be used to reflect the urgency of the temperature imbalance situation between wind turbine units. The higher the warning level, the higher the urgency of the temperature imbalance situation between wind turbine units. For warnings with a higher urgency, they need to be processed preferentially.

[0046] Among them, each warning level has a corresponding warning threshold, and this warning threshold can be adaptively set in combination with the temperature imbalance warning requirements between wind turbine units in the actual business scenario, and there is no limitation on this.

[0047] Among them, there is a positive correlation between the warning level and the warning threshold.

[0048] That is to say, in the embodiments of the present disclosure, it can be to determine the warning thresholds corresponding to each warning level, and then generate a temperature imbalance warning for the wind turbine unit within the first time period based on the extreme difference value and the warning thresholds corresponding to each warning level.

[0049] Optionally, in some embodiments, generating a temperature imbalance warning for the corresponding wind turbine unit within the first time period based on the first temperature difference and the warning thresholds corresponding to each warning level may be to generate a temperature imbalance warning of the first warning level when the first temperature difference is less than the warning threshold corresponding to the second warning level and greater than the warning threshold corresponding to the first warning level, where the second warning level is higher than the first warning level, or to generate a temperature imbalance warning of the second warning level when the first temperature difference is greater than the warning threshold corresponding to the second warning level.

[0050] Among them, the second warning level is higher than the first warning level. Correspondingly, the warning threshold corresponding to the second warning level is greater than the warning threshold corresponding to the first warning level, and there is no limitation on this.

[0051] That is to say, in the embodiments of the present disclosure, when the first temperature difference is less than the warning threshold corresponding to the second warning level and greater than the warning threshold corresponding to the first warning level, a temperature imbalance warning of the first warning level is generated, or when the first temperature difference is greater than the warning threshold corresponding to the second warning level, a temperature imbalance warning of the second warning level is generated. Thus, by combining the warning threshold corresponding to the first warning level and the warning threshold corresponding to the second warning level, the warning level of the current temperature imbalance warning can be accurately determined, so as to accurately trigger the generation of the temperature imbalance warning of the current warning level.

[0052] For example, referring to Figure 3 , Figure 3 is a schematic diagram of the temperature imbalance warning interface between wind turbines shown according to an embodiment of the present disclosure. As Figure 3 can be seen, in the first time period from 14:33 on March 13, 2025 to 14:33 on March 20, 2025, the first temperature difference between the generator drive-end bearings of Wind Turbine 1 is 9 °C, which is greater than the warning threshold of 2 °C corresponding to the first level. Therefore, a temperature imbalance warning of the first warning level of this wind turbine can be generated.

[0053] In the embodiments of the present disclosure, by obtaining the target unit components in the wind turbines of the same model in the wind farm according to the first time interval, the temperatures of multiple target measurement points within the first time period are obtained, and then the first temperature mean value of the temperatures of the target unit components in each wind turbine within the first time period is determined. Then, the second temperature mean value of the temperatures of the target unit components in the wind turbines of the same model in a wind farm within the first time period is determined. Then, the first temperature difference between the second temperature mean value and the first temperature mean value is determined. Then, according to the first temperature difference, a temperature imbalance warning of the corresponding wind turbine within the first time period is generated. Thus, before the wind turbine has an operation failure, the potential failures existing in the wind turbine can be pre-identified, so that corresponding countermeasures can be taken in advance for the potential failures, thereby effectively avoiding the losses caused by the operation failure of the wind turbine, and it is convenient for large-scale wind farm deployment and application, and can realize the comprehensive monitoring and warning of the temperature status of the entire wind farm units.

[0054] Figure 4 is a schematic flow chart of the method for warning of temperature imbalance between wind turbines shown according to the second embodiment of the present disclosure. As Figure 4 shown, the method includes:

[0055] S401: During the first time period, collect the temperatures of multiple candidate measurement points of the target unit components in the wind turbines of the same model in the wind farm according to the first time interval within the first time period.

[0056] Among them, the candidate measurement point temperature is obtained by preliminarily screening the initial measurement point temperature of the unit component to be detected, that is, the target measurement point temperature can be obtained by preliminarily screening the candidate measurement point temperature.

[0057] Optionally, in some embodiments, within the first time period, multiple candidate measurement point temperatures of the target unit component in the wind turbines of the same model in the wind farm are collected according to the first time interval. It can be that within the first time period, multiple first measurement point temperatures of the target unit component in the wind turbines of the same model in the wind farm are collected according to the first time interval. Data alignment processing is performed on the multiple first measurement point temperatures of each target unit component within the first time period to obtain the second measurement point temperature. The third temperature mean value and standard deviation of the multiple second measurement point temperatures of each target unit component within the first time period are determined. The second temperature difference between each first measurement point temperature and the corresponding third temperature mean value is determined. In the case where the second temperature difference is greater than three times the standard deviation, the corresponding second measurement point temperature is deleted, and the remaining second measurement point temperatures are determined as the candidate measurement point temperatures.

[0058] That is to say, in the embodiments of the present disclosure, it can be that a sensor is used to collect multiple first measurement point temperatures of the target unit component in the wind turbines of the same model in the wind farm within the first time period according to the first time interval. Data alignment processing is performed on the multiple first measurement point temperatures of each target unit component within the first time period in the way of pre-filling numbers to obtain the second measurement point temperature. The third temperature mean value and standard deviation of the multiple second measurement point temperatures of each target unit component within the first time period are determined. The second temperature difference between each first measurement point temperature and the corresponding third temperature mean value is determined. In the case where the second temperature difference is greater than three times the standard deviation, the corresponding second measurement point temperature is deleted, and the remaining second measurement point temperatures are determined as the candidate measurement point temperatures.

[0059] S402: While obtaining the candidate measurement point temperature, obtain the active power of the wind turbine to which the target unit component belongs within the first time period.

[0060] In the embodiments of the present disclosure, while obtaining the candidate measurement point temperature, the active power of the wind turbine to which the target unit component belongs within the first time period can be obtained. Then, according to the active power, the target measurement point temperature can be determined from the candidate measurement point temperatures.

[0061] S403: Determine the target measurement point temperature from the candidate measurement point temperatures according to the active power.

[0062] In the embodiments of the present disclosure, after obtaining the active power of the wind turbine to which the target unit component belongs within the first time period while obtaining the candidate measurement point temperature, the target measurement point temperature can be determined from the candidate measurement point temperatures according to the active power.

[0063] Optionally, in some embodiments, the target measurement point temperature may be determined from the candidate measurement point temperatures according to the active power. Specifically, when there is active power greater than the active power threshold among multiple active powers of the wind turbine generator within the first time period, the number of wind turbine generators in a wind farm is cumulatively counted to obtain a first number. When the first number is greater than or equal to the first number threshold, the target measurement point temperature is determined from multiple candidate measurement point temperatures in the wind farm.

[0064] Among them, the active power threshold and the rotational speed threshold can be adaptively set in combination with the requirements in the actual temperature imbalance warning scenario between wind turbine generator components, and there is no limitation on this.

[0065] That is to say, in the embodiments of the present disclosure, after obtaining multiple active powers of each wind turbine generator within the first time period, the active power can be compared with a preset active power threshold. When the active power is greater than the active power threshold, the number of wind turbine generators in a wind farm is cumulatively counted to obtain a first number. When the first number is greater than or equal to the first number threshold, the target measurement point temperature is determined from multiple candidate measurement point temperatures in the wind farm.

[0066] For example, it can be to count the number of wind turbine generators with active power exceeding P. If only the power data of one wind turbine generator in a wind farm exceeds the active power threshold P, no processing is performed. If at least two wind turbine generators have power exceeding the active power threshold P, then the target measurement point temperature is triggered to be determined from multiple candidate measurement point temperatures in the electric field.

[0067] Optionally, in some embodiments, to determine the target measurement point temperature from multiple candidate measurement point temperatures in the wind farm, when the active power is greater than the active power threshold, the candidate measurement point temperature obtained simultaneously with the active power can be determined as the target measurement point temperature.

[0068] That is to say, in the embodiments of the present disclosure, it can be to screen out the wind turbine generators in the high-load interval working state, and for the active power P of each wind turbine generator i =[p i1 ,…,p in to determine whether it is greater than the active power threshold P. When the active power is greater than the active power threshold, the candidate measurement point temperature obtained simultaneously with the active power is determined as the target measurement point temperature.

[0069] S404: Determine the first temperature mean of the multiple target measurement point temperatures of the target unit components of each wind turbine generator within the first time period.

[0070] S405: Determine the second temperature average value of multiple target measurement point temperatures of a target unit component in wind turbines of the same model in a wind farm within a first time period.

[0071] S406: Determine the first temperature difference between the second temperature average value and the first temperature average value.

[0072] S407: Generate a temperature imbalance warning for the corresponding wind turbine within the first time period according to the first temperature difference.

[0073] For the descriptions of S404 - S407, specific reference can be made to the above - mentioned embodiments, which will not be elaborated here.

[0074] In the embodiments of the present disclosure, within a first time period, multiple candidate measurement point temperatures of a target unit component in wind turbines of the same model in a wind farm are collected according to a first time interval. While obtaining the candidate measurement point temperatures, the active power of the wind turbine to which the target unit component belongs within the first time period is obtained. According to the active power, the target measurement point temperatures are determined from the candidate measurement point temperatures. The first temperature average value of multiple target measurement point temperatures of the target unit component of each wind turbine within the first time period is determined. The second temperature average value of multiple target measurement point temperatures of the target unit component in wind turbines of the same model in a wind farm within the first time period is determined. The first temperature difference between the second temperature average value and the first temperature average value is determined. A temperature imbalance warning for the corresponding wind turbine within the first time period is generated according to the first temperature difference. Thus, before a wind turbine has an operation failure, potential faults existing in the wind turbine can be pre - identified, so that corresponding countermeasures can be taken in advance for the potential faults, effectively avoiding losses caused by the operation failure of the wind turbine, and being convenient for large - scale wind farm deployment and application. It can realize the comprehensive monitoring and warning of the temperature status of the entire wind farm's wind turbines.

[0075] In the embodiments of the present disclosure, refer to Figure 5 , Figure 5It is a schematic structural diagram of a temperature imbalance warning operator model between wind turbines shown according to an embodiment of the present disclosure. That is, the temperature imbalance warning method between wind turbines in the embodiments of the present disclosure can be executed based on this operator model. The imbalance operator model between wind turbines is built according to the data input, calculation logic, and data output content of the above component imbalance warning technical solution. The entire model is gradually built based on these three levels. Among them, the sample influxDB input operator is the data input layer. Through corresponding settings, this operator can obtain all the measurement point data from each wind farm. The JDBC control parameter operator and the measurement point control operator help the influxDB input operator screen the measurement point codes that meet the requirements through certain SQL statements. The JDBC control parameter operator time control sets the value-taking time of the influxDB input operator and the time content to catch up when there is a time lag through certain SQL statements.

[0076] Among them, the measurement point control parameter operator is used to select all the measurement points containing the label "component imbalance warning" from the wind farm and package them into station_global_numbers, and read all the relevant data from the database.

[0077] Among them, the SQL statement of the time control parameter operator schedules the data for one day (which can be freely set, such as one week, one month, etc.) and can be changed according to user needs.

[0078] Among them, the imbalance calculation operator model calculates the data obtained by the influxDB input operator, automatically configures new calculation codes according to different codes, and then further stores them in the database through the data output operator.

[0079] Among them, the JDBC output operator A stores the results calculated by the imbalance calculation model operator in the database, and the JDBC output operator B stores the time results calculated in the imbalance calculation model operator in the corresponding time table in the database.

[0080] Among them, the algorithm has two outputs. One is the calculation result output, and the output data is stored in the time series database. The other output is the calculation of the data acquisition time period, and the output is the start time and end time of the calculation time, which are stored in the fjj_imbalance_temp_time table in the mysql database.

[0081] Among them, the algorithm calculation result output data includes the original data id, the wind turbine group number group_key, the temperature difference result Bias, the coding division number category, and the new coding station_global_number. The data result output by the model is output to the database through the JDBC operator model. A table Inwind_imblance_temp_model is created in the PROCCESSED_BIGDATA_WIND_USER database in the postgresql database, and the table header corresponds to the data output by the model operator.

[0082] Among them, the model time period calculation result output data includes the wind farm name site, the calculation start time starttime, and the calculation end time endtime. The data result output by the model is output to the database through the JDBC operator model. A table Inwind_imblance_temp_time is created in the PROCCESSED_BIGDATA_WIND_USER database in the postgresql database.

[0083] Figure 6 It is a block diagram of a temperature imbalance warning device between wind turbines shown according to the present disclosure, as Figure 6 shown. The temperature imbalance warning device 60 between wind turbines includes:

[0084] An acquisition module 601, configured to acquire the temperatures of a plurality of target measurement points of a target unit component in the same type of wind turbines in a wind farm within a first time period according to a first time interval;

[0085] A first determination module 602, configured to determine a first temperature average value of the temperatures of a plurality of target measurement points of the target unit component of each wind turbine within the first time period;

[0086] A second determination module 603, configured to determine a second temperature average value of the temperatures of a plurality of target measurement points of the target unit component in the same type of wind turbines in a wind farm within the first time period;

[0087] A third determination module 604, configured to determine a first temperature difference between the second temperature average value and the first temperature average value;

[0088] A generation module 605, configured to generate a temperature imbalance warning of the corresponding wind turbine within the first time period according to the first temperature difference.

[0089] In some embodiments of the present disclosure, the acquisition module 601 is further configured to:

[0090] During a first time period, collect multiple candidate measurement point temperatures of a target unit component in wind turbines of the same model in a wind farm according to a first time interval within the first time period;

[0091] While obtaining the candidate measurement point temperatures, obtain the active power of the wind turbine to which the target unit component belongs within the first time period;

[0092] Determine the target measurement point temperature from the candidate measurement point temperatures according to the active power.

[0093] In some embodiments of the present disclosure, the obtaining module 601 is further configured to:

[0094] During a first time period, collect multiple first measurement point temperatures of a target unit component in wind turbines of the same model in a wind farm according to a first time interval within the first time period;

[0095] Perform data alignment processing on the multiple first measurement point temperatures of each target unit component within the first time period to obtain second measurement point temperatures;

[0096] Determine the third temperature mean value and standard deviation of the multiple second measurement point temperatures of each target unit component within the first time period;

[0097] Determine the second temperature difference between each first measurement point temperature and the corresponding third temperature mean value;

[0098] In the case where the second temperature difference is greater than three times the standard deviation, delete the corresponding second measurement point temperature, and determine the remaining second measurement point temperatures as candidate measurement point temperatures.

[0099] In some embodiments of the present disclosure, the obtaining module 601 is further configured to:

[0100] In the case where there is active power greater than the active power threshold among the multiple active powers of the wind turbine within the first time period, perform cumulative counting on the number of wind turbines in a wind farm to obtain a first quantity;

[0101] In the case where the first quantity is greater than or equal to the first quantity threshold, determine the target measurement point temperature from the multiple candidate measurement point temperatures in the wind farm.

[0102] In some embodiments of the present disclosure, the obtaining module 601 is further configured to:

[0103] In the case where the active power is greater than the active power threshold, determine the candidate measurement point temperature obtained simultaneously with the active power as the target measurement point temperature.

[0104] In some embodiments of the present disclosure, the generating module 605 is further configured to:

[0105] Determine the warning thresholds corresponding to each warning level, where there is a positive correlation between the warning level and the warning threshold;

[0106] Generate a temperature imbalance warning for the corresponding wind turbine within the first time period according to the first temperature difference and the warning thresholds corresponding to each warning level.

[0107] In some embodiments of the present disclosure, the generating module 605 is further configured to:

[0108] When the first temperature difference is less than the warning threshold corresponding to the second warning level and greater than the warning threshold corresponding to the first warning level, generate a temperature imbalance warning of the first warning level, where the second warning level is higher than the first warning level; or

[0109] When the first temperature difference is greater than the warning threshold corresponding to the second warning level, generate a temperature imbalance warning of the second warning level.

[0110] In the embodiments of the present disclosure, by obtaining the temperatures of multiple target measurement points of the target unit components in the wind turbines of the same model in the wind farm within the first time period according to the first time interval, then determining the first temperature mean value of the temperatures of the multiple target measurement points of the target unit components of each wind turbine within the first time period, then determining the second temperature mean value of the temperatures of the multiple target measurement points of the target unit components in the wind turbines of the same model in a wind farm within the first time period, then determining the first temperature difference between the second temperature mean value and the first temperature mean value, and then generating a temperature imbalance warning for the corresponding wind turbine within the first time period according to the first temperature difference. Thus, it is possible to pre-identify potential faults existing in the wind turbines before the wind turbines have operating faults, so as to be able to take corresponding countermeasures in advance for the potential faults, thereby effectively avoiding the losses caused by the operating faults of the wind turbines, and being able to facilitate the deployment and application of large-scale wind farms, and realizing the comprehensive monitoring and warning of the temperature states of the wind farm units.

[0111] To implement the above embodiments, the present application also proposes an electronic device, including: a processor, and a memory communicatively connected to the processor; the memory stores computer-executable instructions; the processor executes the computer-executable instructions stored in the memory to implement the method for warning of temperature imbalance between wind turbines provided in the foregoing embodiments.

[0112] To implement the above embodiments, the present application also proposes a computer-readable storage medium, in which computer-executable instructions are stored, and when the computer-executable instructions are executed by a processor, they are used to implement the method for warning of temperature imbalance between wind turbines provided in the foregoing embodiments.

[0113] Figure 7A block diagram of an exemplary electronic device suitable for implementing embodiments of the present disclosure is shown.

[0114] Figure 7 The displayed electronic device 7 is merely an example and should not impose any limitations on the functions and usage scope of the embodiments of the present disclosure.

[0115] As Figure 7 shown, the electronic device 7 is presented in the form of a general-purpose computing device. The components of the electronic device 7 may include, but are not limited to: one or more processors or processing units 16, a memory 28, and a bus 18 connecting different system components (including the memory 28 and the processing unit 16).

[0116] The bus 18 represents one or more of several types of bus structures, including a memory bus or a memory controller, a peripheral bus, a graphics acceleration port, a processor, or a local bus using any of the multiple bus structures. For example, these architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnection (PCI) bus.

[0117] The electronic device 7 typically includes a variety of computer system-readable media. These media can be any available media accessible by the electronic device 7, including volatile and non-volatile media, removable and non-removable media.

[0118] The memory 28 may include computer system-readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. The electronic device 7 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 34 can be used to read and write non-removable, non-volatile magnetic media ( Figure 7 not shown, commonly referred to as a "hard disk drive").

[0119] Although Figure 7Not shown in the figure, a disk drive for reading and writing a removable non-volatile disk (such as a "floppy disk") and an optical disk drive for reading and writing a removable non-volatile optical disk (such as a Compact Disc Read Only Memory (hereinafter referred to as: CD-ROM), a Digital Video Disc Read Only Memory (hereinafter referred to as: DVD-ROM) or other optical media) can be provided. In these cases, each drive can be connected to the bus 18 through one or more data medium interfaces. The memory 28 may include at least one program product having a set (such as at least one) of program modules configured to perform the functions of the embodiments of the present disclosure.

[0120] A program / utility 40 having a set (at least one) of program modules 42 can be stored, for example, in the memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data. Each or some combination of these examples may include the implementation of a network environment. The program modules 42 generally execute the functions and / or methods in the embodiments described in the present disclosure.

[0121] The electronic device 7 can also communicate with one or more external devices 14 (such as a keyboard, a pointing device, a display 24, etc.), and can also communicate with one or more devices that enable a human body to interact with the electronic device 7, and / or communicate with any device that enables the electronic device 7 to communicate with one or more other computing devices (such as a network card, a modem, etc.). Such communication can be carried out through the input / output (I / O) interface 22. In addition, the electronic device 7 can also communicate with one or more networks (such as a Local Area Network (hereinafter referred to as: LAN), a Wide Area Network (hereinafter referred to as: WAN) and / or a public network, such as the Internet) through the network adapter 20. As shown in the figure, the network adapter 20 communicates with other modules of the electronic device 7 through the bus 18. It should be understood that although not shown in the figure, other hardware and / or software modules can be used in combination with the electronic device 7, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, etc.

[0122] The processing unit 16 executes various functional applications and parameter information determination by running the programs stored in the memory 28, such as implementing the method for warning of temperature imbalance between business wind turbines mentioned in the foregoing embodiments, or implementing the method for obtaining business data mentioned in the foregoing embodiments.

[0123] It should be noted that in the description of the present disclosure, the terms "first", "second", etc. are only used for descriptive purposes and cannot be construed as indicating or implying relative importance. In addition, in the description of the present disclosure, unless otherwise specified, the meaning of "a plurality of" is two or more.

[0124] Any process or method description in the flowchart or described in other ways herein can be understood to represent a module, segment, or part of code including one or more executable instructions for implementing a specific logical function or process. The scope of the preferred embodiments of the present disclosure includes additional implementations, where the functions can be executed in a substantially simultaneous manner or in the reverse order according to the involved functions, rather than in the order shown or discussed, which should be understood by those skilled in the technical field to which the embodiments of the present disclosure belong.

[0125] It should be understood that each part of the present disclosure can be implemented by hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits with logic gate circuits for implementing logical functions on data signals, application specific integrated circuits with appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0126] Those of ordinary skill in the art of the present technology can understand that all or part of the steps carried by the method of the above embodiments can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0127] In addition, each functional unit in various embodiments of the present disclosure can be integrated into one processing module, or each unit can exist physically alone, or two or more units can be integrated into one module. The above integrated module can be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0128] The above-mentioned storage medium can be a read-only memory, a magnetic disk, an optical disk, etc.

[0129] In the description of this specification, the description referring to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples.

[0130] Although the embodiments of the present disclosure have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present disclosure.

Claims

1. A method for warning of temperature imbalance between wind turbines, characterized in that The method includes: Obtaining the temperatures of multiple target measurement points of a target unit component in a wind turbine generator set of the same model in a wind farm within a first time period according to a first time interval; Determining the first temperature mean of the temperatures of multiple target measurement points of the target unit component of each wind turbine generator set within the first time period; Determining the second temperature mean of the temperatures of multiple target measurement points of the target unit component in wind turbine generator sets of the same model in a wind farm within the first time period; Determining the first temperature difference between the second temperature mean and the first temperature mean; Generating a temperature imbalance warning for the corresponding wind turbine generator set within the first time period according to the first temperature difference.

2. The method according to claim 1, characterized in that, The step of obtaining the temperatures of multiple target measurement points of a target unit component in a wind turbine generator set of the same model in a wind farm within a first time period according to a first time interval includes: Collecting the temperatures of multiple candidate measurement points of the target unit component in a wind turbine generator set of the same model in a wind farm within the first time period according to the first time interval within the first time period; While obtaining the candidate measurement point temperatures, obtaining the active power of the wind turbine generator set to which the target unit component belongs within the first time period; Determining the target measurement point temperatures from the candidate measurement point temperatures according to the active power.

3. The method according to claim 2, wherein The step of collecting the temperatures of multiple candidate measurement points of the target unit component in a wind turbine generator set of the same model in a wind farm within a first time period according to the first time interval within the first time period includes: Collecting the temperatures of multiple first measurement points of the target unit component in a wind turbine generator set of the same model in a wind farm within the first time period according to the first time interval within the first time period; Performing data alignment processing on the temperatures of multiple first measurement points of each target unit component within the first time period to obtain second measurement point temperatures; Determining the third temperature mean and standard deviation of the temperatures of multiple second measurement points of each target unit component within the first time period; Determining the second temperature difference between each first measurement point temperature and the corresponding third temperature mean; In the case where the second temperature difference is greater than three times the standard deviation, deleting the corresponding second measurement point temperature and determining the remaining second measurement point temperatures as the candidate measurement point temperatures.

4. The method according to claim 2, characterized in that, The step of determining the target measurement point temperatures from the candidate measurement point temperatures according to the active power includes: In the case where there is active power greater than an active power threshold among the multiple active powers of the wind turbine generator set within the first time period, performing cumulative counting on the number of wind turbine generator sets in a wind farm to obtain a first quantity; In the case where the first quantity is greater than or equal to a first quantity threshold, determining the target measurement point temperatures from the multiple candidate measurement point temperatures in the wind farm.

5. The method according to claim 4, wherein The step of determining the target measurement point temperatures from the multiple candidate measurement point temperatures in the wind farm includes: In the case where the active power is greater than the active power threshold, determining the candidate measurement point temperature obtained simultaneously with the active power as the target measurement point temperature.

6. The method according to claim 1, wherein The step of generating a temperature imbalance warning for the corresponding wind turbine generator set within the first time period according to the first temperature difference includes: Determine the warning thresholds corresponding to each warning level, where there is a positive correlation between the warning level and the warning threshold; Generate a temperature imbalance warning for the corresponding wind turbine generator within the first time period according to the first temperature difference and the warning thresholds corresponding to each warning level.

7. The method according to claim 6, wherein The generating a temperature imbalance warning for the corresponding wind turbine generator within the first time period according to the first temperature difference and the warning thresholds corresponding to each warning level includes: When the first temperature difference is less than the warning threshold corresponding to the second warning level and greater than the warning threshold corresponding to the first warning level, generate a temperature imbalance warning of the first warning level, where the second warning level is higher than the first warning level; or When the first temperature difference is greater than the warning threshold corresponding to the second warning level, generate a temperature imbalance warning of the second warning level.

8. An early warning device for temperature imbalance between wind turbines, characterized in that, The device includes: An acquisition module, configured to acquire the temperatures of a plurality of target measurement points of a target unit component in a wind turbine generator of the same model in a wind farm within a first time period according to a first time interval; A first determination module, configured to determine the first temperature average value of the temperatures of a plurality of target measurement points of the target unit component of each wind turbine generator within the first time period; A second determination module, configured to determine the second temperature average value of the temperatures of a plurality of target measurement points of the target unit component in wind turbine generators of the same model in a wind farm within the first time period; A third determination module, configured to determine the first temperature difference between the second temperature average value and the first temperature average value; A generation module, configured to generate a temperature imbalance warning for the corresponding wind turbine generator within the first time period according to the first temperature difference.

9. An electronic device, characterized in that, including: A processor; A memory for storing instructions executable by the processor; Wherein, the processor is configured to execute the instructions to implement the method according to any one of claims 1-7.

10. A computer-readable storage medium, when the instructions in the computer-readable storage medium are executed by a processor of an electronic device, enabling the electronic device to execute the method according to any one of claims 1-7.

11. A computer program product, comprising a computer program, characterized in that, The computer program, when executed by a processor, implements the method according to any one of claims 1-7.

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