Wind power plant operation and maintenance management system and method

Abstract

The invention discloses a wind power plant operation and maintenance management system and method. The wind power plant operation and maintenance management system comprises a fault alarm module and a performance evaluation module. The fault alarm module is used for acquiring an alarm real-time parameter set of the target wind power plant within a target time length, judging whether a demand for sending an early warning signal to a target client exists or not according to the alarm real-time parameter set of the target wind power plant, and if yes, sending the early warning signal and an early warning type of the early warning signal to the target client, the target wind power plant comprises a plurality of units; the performance evaluation module is used for obtaining the evaluation real-time parameter set of the target wind power plant, determining the wind turbine generator performance of the target wind power plant according to the evaluation real-time parameter set, and determining whether the target wind power plant meets the preset operation requirement or not according to the wind turbine generator performance of the target wind power plant. The invention belongs to the field of equipment monitoring. According to the invention, comprehensive management of the wind power plant can be realized, the operation and maintenance effect is improved, and the labor cost is saved.

Description

Technical Field

[0001] The present invention relates to the field of equipment monitoring, and in particular to a wind farm operation and maintenance management system and method. Background Art

[0002] By the end of 2024, the cumulative grid-connected installed capacity of wind power will be guaranteed to reach more than 210 million kilowatts, and the annual power generation will be guaranteed to reach 420 billion kilowatt-hours, accounting for 6% of the country's total power generation. There is still a lot of room for improvement to achieve the national goal of renewable energy accounting for 15% of primary energy in 2024. In particular, the application of intelligent manufacturing technologies such as big data and intelligent operation and maintenance technologies of wind farms have put forward higher requirements and more attention.

[0003] Most of the wind farms in my country rely on wind turbine providers for operation and maintenance. The overall level of the wind farm operation and maintenance industry is backward, and the level of operation and maintenance companies is even more uneven. In some places, the lack of operation and maintenance has even led to the failure to timely discover the safety hazards of wind power equipment, resulting in serious consequences such as equipment damage and system paralysis. Therefore, wind farms are in urgent need of a centralized, shared, and intelligent overall solution to gradually transform the traditional regular maintenance and spot inspection and repair methods into preventive maintenance based on condition maintenance. Therefore, a wind farm operation and maintenance management system is urgently needed to solve the above problems. Summary of the invention

[0004] The embodiments of the present application solve the technical problem of poor operation and maintenance effect of wind farms in the prior art by providing a wind farm operation and maintenance management system and method, and achieve the technical effect of improving the operation and maintenance effect.

[0005] In a first aspect, the present application provides a wind power plant operation and maintenance management system, the system comprising:

[0006] The wind farm operation and maintenance management system includes a fault alarm module and a performance evaluation module;

[0007] The fault alarm module is used to obtain the alarm real-time parameter set of the target wind farm within the target time, and determine whether there is a need to send an early warning signal to the target client according to the alarm real-time parameter set of the target wind farm. If so, the early warning signal and the early warning type of the early warning signal are sent to the target client, wherein the target wind farm includes several units, each of which is composed of several devices;

[0008] The performance evaluation module is used to obtain the evaluation real-time parameter set of the target wind farm and determine the performance of the wind turbines in the target wind farm based on the evaluation real-time parameter set, and determine whether the target wind farm meets the preset operation requirements based on the performance of the wind turbines in the target wind farm.

[0009] Further, including:

[0010] The warning types include aerodynamic balance warning, pitch motor warning, yaw brake pad status warning, wind deviation warning, hydraulic system warning, measurement effect warning and anemometer failure warning.

[0011] Furthermore, regarding the pneumatic balance warning, it includes:

[0012] The fault alarm module obtains a first alarm real-time parameter subset of the target wind farm, the first alarm real-time parameter subset includes the natural frequency, the running speed and the rated power of the units of the target wind farm, and the first alarm real-time parameter subset belongs to the alarm real-time parameter set;

[0013] The fault alarm module determines the frequency-rotation characteristics of the units of the target wind farm according to a number of parameters in the first alarm real-time parameter subset of the target wind farm;

[0014] The fault alarm module determines the deviation of the generator set of the target wind farm according to the rotation frequency characteristics of the generator set of the target wind farm and the natural frequency of the generator set of the target wind farm;

[0015] The fault alarm module determines whether there is a need to send an early warning signal to the target client based on the deviation and the preset deviation threshold;

[0016] If it exists, the fault alarm module sends a pneumatic balance warning to the target client.

[0017] Furthermore, regarding the pitch motor warning, it includes:

[0018] The fault alarm module obtains a second alarm real-time parameter subset of the target wind farm, the second alarm real-time parameter subset includes the temperature of the units in the target wind farm under several working conditions, and the second alarm real-time parameter subset belongs to the alarm real-time parameter set;

[0019] The fault alarm module determines whether there is a need to send an early warning signal to the target client according to the second alarm real-time parameter subset and the preset temperature threshold;

[0020] If it exists, the fault alarm module sends a pitch motor warning to the target client.

[0021] Furthermore, regarding the yaw brake pad status warning, it includes:

[0022] The fault alarm module obtains a third alarm real-time parameter subset of the target wind farm, the third alarm real-time parameter subset includes the yaw speed of the unit of the target wind farm, and the third alarm real-time parameter subset belongs to the alarm real-time parameter set;

[0023] The fault alarm module determines whether there is a need to send an early warning signal to the target client according to the third alarm real-time parameter subset;

[0024] If it exists, the fault alarm module sends a yaw brake pad status warning to the target client.

[0025] Furthermore, regarding the wind deviation warning, it includes:

[0026] The fault alarm module obtains a fourth alarm real-time parameter subset of the target wind farm, the fourth alarm real-time parameter subset includes the wind speed, wind direction, yaw error, and cabin angle, unit operating speed and rated power of the target wind farm, and the fourth alarm real-time parameter subset belongs to the alarm real-time parameter set;

[0027] The fault alarm module performs plane rectangular coordinate transformation according to the cabin angle and yaw error;

[0028] After the plane rectangular coordinate transformation, the fault alarm module constructs a capture matrix based on the wind speed and rated power;

[0029] The fault alarm module performs three-mean calculation based on the capture matrix and obtains the inflection point of the target curve;

[0030] The fault alarm module determines whether there is a need to send an early warning signal to the target client according to the inflection point of the target curve;

[0031] If it exists, the fault alarm module sends a wind deviation warning to the target client.

[0032] Furthermore, the hydraulic system early warning includes:

[0033] The fault alarm module obtains a fifth alarm real-time parameter subset of the target wind farm, where the fifth alarm real-time parameter subset includes the rated power, the running speed, the vibration amplitude, the hydraulic system pressure and the yaw state of the units of the target wind farm;

[0034] The fault alarm module determines whether there is a need to send an early warning signal to the target client according to the fifth alarm real-time parameter subset;

[0035] If it exists, the fault alarm module sends a hydraulic system warning to the target client.

[0036] Further, including:

[0037] The performance of wind turbines includes output performance, system performance, component performance and safety performance.

[0038] Further, regarding output performance, including:

[0039] The performance evaluation module is used to obtain a first evaluation real-time parameter subset of the target wind farm, the first evaluation real-time parameter subset includes the rated power, wind speed, yaw to wind, temperature and vibration state of the units of the target wind farm, and the first evaluation real-time parameter subset belongs to the evaluation real-time parameter set;

[0040] The performance evaluation module determines a wind speed power capture matrix according to a first evaluation real-time parameter subset of the target wind farm;

[0041] The performance evaluation module determines the output performance of the units of the target wind farm according to the wind speed power capture matrix.

[0042] In a second aspect, the present application provides a wind power plant operation and maintenance management method, the method comprising:

[0043] Obtaining the operating parameters of the target wind farm within the target duration;

[0044] Determine the operating status of several units in the target wind farm according to the operating parameters of the target wind farm within the target time, where the operating status includes abnormal operation and normal operation;

[0045] When there is an abnormally operating unit, the abnormal operation type of the abnormally operating unit is determined according to the operating parameters of the target wind farm, and the abnormal operation type of the abnormally operating unit is fed back to the target client.

[0046] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0047] The present application provides a wind farm operation and maintenance management system, including: the wind farm operation and maintenance management system includes a fault alarm module and a performance evaluation module; the fault alarm module is used to obtain the alarm real-time parameter set of the target wind farm within the target time length, and judge whether there is a need to send an early warning signal to the target client according to the alarm real-time parameter set of the target wind farm, if so, send the early warning signal and the early warning type of the early warning signal to the target client, wherein the target wind farm includes a number of units, each of which is composed of a number of devices; the performance evaluation module is used to obtain the evaluation real-time parameter set of the target wind farm and determine the performance of the wind turbine unit of the target wind farm according to the evaluation real-time parameter set, and determine whether the target wind farm meets the preset operation requirements according to the performance of the wind turbine unit of the target wind farm. The present application provides a wind farm operation and maintenance management system, which can realize all-round management of wind farms, improve the efficiency of operation and maintenance, and save labor costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0049] Figure 1 A schematic diagram of the structure of a wind power plant operation and maintenance management system provided in this application;

[0050] Figure 2 A flow chart of a wind power plant operation and maintenance management method provided in this application.

[0051] Reference numerals

[0052] Fault alarm module-101, performance evaluation module-102. DETAILED DESCRIPTION

[0053] The embodiment of the present application solves the technical problem of poor operation and maintenance effect of wind farms in the prior art by providing a wind farm operation and maintenance management system.

[0054] The technical solution of the embodiment of the present application is to solve the above technical problems, and the overall idea is as follows:

[0055] A wind farm operation and maintenance management system, the system includes: the wind farm operation and maintenance management system includes a fault alarm module and a performance evaluation module; the fault alarm module is used to obtain the alarm real-time parameter set of the target wind farm within the target time length, and judge whether there is a need to send an early warning signal to the target client according to the alarm real-time parameter set of the target wind farm, if so, send the early warning signal and the early warning type of the early warning signal to the target client, wherein the target wind farm includes a plurality of units, each of which is composed of a plurality of devices; the performance evaluation module is used to obtain the evaluation real-time parameter set of the target wind farm and determine the performance of the wind turbine unit of the target wind farm according to the evaluation real-time parameter set, and determine whether the target wind farm meets the preset operation requirements according to the performance of the wind turbine unit of the target wind farm.

[0056] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0057] First of all, the term "and / or" in this article is only a description of the association relationship of the associated objects, indicating that there can be three relationships. For example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the associated objects before and after are in an "or" relationship.

[0058] This application provides Figure 1 A wind farm operation and maintenance management system is shown, and the wind farm operation and maintenance management system includes a fault alarm module 101 and a performance evaluation module 102 .

[0059]

About Fault Alarm Module 101

[0060] The fault alarm module 101 is used to obtain the real-time alarm parameter set of the target wind farm within the target time length, and determine whether there is a need to send an early warning signal to the target client based on the real-time alarm parameter set of the target wind farm. If so, the early warning signal and the early warning type of the early warning signal are sent to the target client, wherein the target wind farm includes several units, and each unit is composed of several devices.

[0061] A wind farm is a facility that uses wind energy to generate electricity, usually consisting of multiple wind turbines. Wind turbines capture the kinetic energy of the wind, convert it into mechanical energy, and then convert it into electrical energy. The target duration can be determined based on actual conditions, such as 24h, 48h, 180h, etc. It is understandable that different target markets can be set for different types of warnings.

[0062] The warning types include aerodynamic balance warning, pitch motor warning, yaw brake pad status warning, wind deviation warning, hydraulic system warning, measurement effect warning and anemometer failure warning.

[0063] Each unit is mainly composed of blades, rotors, generators, nacelles, gearboxes, towers and control systems.

[0064] {About pneumatic balance warning}

[0065] The fault alarm module 101 obtains a first alarm real-time parameter subset of the target wind farm, the first alarm real-time parameter subset includes the natural frequency, unit operating speed, and rated power of the unit of the target wind farm, and the first alarm real-time parameter subset belongs to the alarm real-time parameter set; the fault alarm module 101 determines the rotation frequency characteristics of the unit of the target wind farm according to several parameters in the first alarm real-time parameter subset of the target wind farm; the fault alarm module 101 determines the deviation of the unit of the target wind farm according to the rotation frequency characteristics of the unit of the target wind farm and the natural frequency of the unit of the target wind farm; the fault alarm module 101 determines whether there is a need to send an early warning signal to the target client according to the deviation and a preset deviation threshold; if so, the fault alarm module 101 sends an aerodynamic balance early warning to the target client.

[0066] Specifically, the speed-frequency characteristic reflects the relationship between the operating speed and the natural frequency during the vibration and operation of the unit.

[0067] The collected operating speed is filtered and denoised to ensure the accuracy of the data. According to the collected operating speed, the actual rotational frequency (rotational frequency characteristics) of the unit is obtained. The actual rotational frequency is compared with the natural frequency, and the deviation = actual rotational frequency - natural frequency. The preset deviation threshold can be determined by historical experience values. If the deviation exceeds the preset deviation threshold, it is marked as abnormal, and there is a need to send an early warning signal to the target client. The fault alarm module 101 sends an aerodynamic balance early warning to the target client.

[0068] {About pitch motor warning}

[0069] The fault alarm module 101 obtains a second alarm real-time parameter subset of the target wind farm, the second alarm real-time parameter subset includes the temperature of the units in the target wind farm under several working conditions, and the second alarm real-time parameter subset belongs to the alarm real-time parameter set; the fault alarm module 101 determines whether there is a need to send an early warning signal to the target client based on the second alarm real-time parameter subset and a preset temperature threshold; if so, the fault alarm module 101 sends a variable pitch motor early warning to the target client.

[0070] After the fault alarm module 101 obtains the second alarm real-time parameter subset of the target wind farm, the BP neural network method can be used to model the temperature and current characteristics of the unit, and the real-time operation data of the unit is compared with the model output, and the output temperature data is compared with the preset temperature threshold. When the preset temperature threshold is exceeded, it is marked as abnormal, and there is a need to send an early warning signal to the target client. The fault alarm module 101 sends a variable pitch motor early warning to the target client.

[0071] {About yaw brake pad status warning}

[0072] The fault alarm module 101 obtains the third alarm real-time parameter subset of the target wind farm, the third alarm real-time parameter subset includes the yaw speed of the unit of the target wind farm, and the third alarm real-time parameter subset belongs to the alarm real-time parameter set; the fault alarm module 101 determines whether there is a need to send an early warning signal to the target client according to the third alarm real-time parameter subset; if so, the fault alarm module 101 sends a yaw brake pad status warning to the target client.

[0073] The yaw brake wear warning mainly applies the principle of the unit yaw operation mechanism characteristics. The collection of the third alarm real-time parameter subset can be realized based on the SCADA system. The fault alarm module 101 can obtain the third alarm real-time parameter subset from the SCADA system. The sampling frequency can be 1Hz. Since the yaw brake state change time sequence is short, medium- and short-term data can be used for dilution, classification, mechanism analysis and degradation judgment.

[0074] The yaw speed threshold range can be set. When the yaw speed of the unit of the target wind farm is not within the yaw speed threshold range, it is marked as abnormal, and there is a need to send an early warning signal to the target client. The fault alarm module 101 sends a yaw brake pad status early warning to the target client.

[0075] {About wind deviation warning}

[0076] The fault alarm module 101 obtains the fourth alarm real-time parameter subset of the target wind farm, the fourth alarm real-time parameter subset includes the wind speed, wind direction, yaw error, cabin angle, unit operating speed and rated power of the target wind farm, and the fourth alarm real-time parameter subset belongs to the alarm real-time parameter set; the fault alarm module 101 performs plane rectangular coordinate transformation according to the cabin angle and yaw error; after the plane rectangular coordinate transformation, the fault alarm module 101 constructs a capture matrix according to the wind speed and rated power; the fault alarm module 101 performs three mean calculations based on the capture matrix and obtains the inflection point of the target curve; the fault alarm module 101 determines whether there is a need to send an early warning signal to the target client according to the inflection point of the target curve; if so, the fault alarm module 101 sends a wind deviation early warning to the target client.

[0077] Wind deviation directly affects the power generation efficiency of wind turbines. The aging of the turbines leads to different degrees of wind inaccuracy, which affects the power generation by 1% to 20%. The wind deviation warning mainly applies the wind turbine yaw control strategy, using the cosine relationship of the wind energy absorption efficiency of the turbine. The wind deviation warning uses the fourth alarm real-time parameter subset with a sampling frequency of 1Hz for one month. The fourth alarm real-time parameter subset is piecewise smoothed to form a capture matrix, and the first-order and second-order derivatives are calculated from the visualized inflection point to determine the capture extreme value.

[0078] The core of the post-processing process is the cross-calculation verification of the sliding data group to eliminate the conclusion deviation caused by mechanism deviation and data error. The single conclusion of the above calculation is used as one of the trend points for wind deviation warning. The single conclusion of multiple time series is repeatedly calculated, and the degradation analysis algorithm is used to evaluate the warning trend.

[0079] This application excerpts the static and dynamic working conditions of the yaw system and performs plane rectangular coordinate transformation. According to the fourth alarm real-time parameter subset, establish a wind speed-based capture matrix Mj; perform three-mean calculations on the capture matrix of power changes according to wind speed; perform smooth fitting on all mean points under the completed wind speed segment; obtain the inflection point of the fitted curve; record the power value of the inflection point; further calculate the second-order integral of the inflection point to evaluate the continuity of the inflection point, and exclude the data points at both ends; repeat the calculation after the segmented wind speed is displaced, and all inflection points are classified into small data using the Bayesian algorithm, and the deviation value is determined.

[0080] When the deviation value is greater than the preset wind deviation threshold, it is marked as abnormal, and there is a need to send a warning signal to the target client. The fault alarm module 101 sends a wind deviation warning to the target client.

[0081] {About hydraulic system warning}

[0082] The fault alarm module 101 obtains the fifth alarm real-time parameter subset of the target wind farm, and the fifth alarm real-time parameter subset includes the rated power, unit operating speed, vibration amplitude, hydraulic system pressure and yaw status of the unit of the target wind farm; the fault alarm module 101 determines whether there is a need to send an early warning signal to the target client according to the fifth alarm real-time parameter subset; if so, the fault alarm module 101 sends a hydraulic system early warning to the target client.

[0083] The status of the hydraulic system of a wind turbine is directly related to the performance and safety of the unit's operation. The hydraulic system early warning mainly uses the system pressure and unit operating conditions in the operating data for logical judgment. The application variables mainly include rated power, operating speed, vibration amplitude, hydraulic system pressure and yaw status.

[0084]

[0085] Among them, a, b, c, d, and e are all weights, h is the empirical coefficient, p is the rated power, w is the unit operating speed, m is the vibration amplitude, l is the hydraulic system pressure, and k is the yaw state. R is the hydraulic alarm value, which is used to experience the danger of hydraulic pressure. The higher the hydraulic alarm value, the more dangerous the hydraulic system of the unit.

[0086] When the hydraulic alarm value is greater than the preset hydraulic threshold, it is marked as abnormal, and there is a need to send an early warning signal to the target client. The fault alarm module 101 sends a hydraulic system early warning to the target client.

[0087] {About measurement effect warning}

[0088] The fault alarm module 101 can obtain the temperature of each part of the unit through a PT100 temperature sensor, and classify the temperature data according to the unit operating conditions, which can be divided into two types of unit operating conditions: static and dynamic.

[0089] Static temperature thresholds and dynamic temperature thresholds can be set separately. When the temperature value under any working condition is greater than the temperature threshold of the corresponding working condition, it is marked as abnormal, and there is a need to send an early warning signal to the target client. The fault alarm module 101 sends a measurement effect warning to the target client.

[0090] {About anemometer failure warning}

[0091] Anemometers and wind vanes are the most basic sensors for wind turbine operation. Anemometers directly affect the unit's cut-in, cut-out wind speeds and gust protection, while wind vanes directly affect the unit's output performance. Therefore, the operating effects of the above two sensors can be judged.

[0092] When the measured wind speed is higher than the physical wind speed, it is marked as abnormal, and there is a need to send an early warning signal to the target client. The fault alarm module 101 sends an early warning of the hydraulic system to the target client.

[0093]

About Performance Evaluation Module 102

[0094] The performance evaluation module 102 is used to obtain the evaluation real-time parameter set of the target wind farm and determine the performance of the wind turbines of the target wind farm according to the evaluation real-time parameter set, and determine whether the target wind farm meets the preset operation requirements according to the performance of the wind turbines of the target wind farm. The performance of the wind turbines includes output performance, system performance, component performance and safety performance.

[0095] {About output performance}

[0096] The performance evaluation module 102 is used to obtain a first evaluation real-time parameter subset of the target wind farm, the first evaluation real-time parameter subset includes the rated power, wind speed, yaw to wind, temperature and vibration state of the units of the target wind farm, and the first evaluation real-time parameter subset belongs to the evaluation real-time parameter set; the performance evaluation module 102 determines the wind speed power capture matrix according to the first evaluation real-time parameter subset of the target wind farm; the performance evaluation module 102 determines the output performance of the units of the target wind farm according to the wind speed power capture matrix.

[0097] Specifically, a matrix can be established in which rows represent different wind speeds, columns represent different yaw angles (usually fixed standard angles such as 0, 15, 30, ..., 360 degrees), and each element represents the power output at a specific wind speed and yaw angle.

[0098] Under different wind speed and yaw angle conditions, the actual power output is obtained. Combined with the performance curve of the unit, the matrix is ​​accurately filled. For example, the power curve model of the wind turbine (such as Betz's law) can be used to calculate the theoretical power output. By looking up the wind speed power capture matrix, the theoretical power output at the current wind speed and yaw angle is obtained. Actual power output = theoretical power output * efficiency factor (adjusted by temperature and vibration state). Similar methods can be used for system performance, component performance, and safety performance, which will not be repeated here.

[0099] In summary, the present application provides a wind farm operation and maintenance management system, including: the wind farm operation and maintenance management system includes a fault alarm module and a performance evaluation module; the fault alarm module is used to obtain the alarm real-time parameter set of the target wind farm within the target time length, and judge whether there is a need to send an early warning signal to the target client according to the alarm real-time parameter set of the target wind farm, if so, send the early warning signal and the early warning type of the early warning signal to the target client, wherein the target wind farm includes a plurality of units, wherein each unit is composed of a plurality of devices; the performance evaluation module is used to obtain the evaluation real-time parameter set of the target wind farm and determine the performance of the wind turbine unit of the target wind farm according to the evaluation real-time parameter set, and determine whether the target wind farm meets the preset operation requirements according to the performance of the wind turbine unit of the target wind farm. The present application provides a wind farm operation and maintenance management system, which can realize all-round management of wind farms, improve the efficiency of operation and maintenance, and save labor costs.

[0100] This application also provides Figure 2 A wind farm operation and maintenance management method shown is based on the wind farm operation and maintenance management system provided above, and includes steps S11-S14:

[0101] Regarding step S11, the operating parameters of the target wind farm within the target duration are obtained.

[0102] The operating parameters may be the alarm real-time parameter set and the evaluation real-time parameter set provided above.

[0103] Regarding step S12, the operating status of several units in the target wind farm is determined according to the operating parameters of the target wind farm within the target time period, and the operating status includes abnormal operation and normal operation.

[0104] According to the alarm real-time parameter set and the evaluation real-time parameter set of the target wind farm, determine whether several units in the target wind farm are operating normally. If not, execute the steps. The specific judgment method can refer to the above content.

[0105] Regarding step S13, when there is an abnormally operating unit, the abnormal operation type of the abnormally operating unit is determined according to the operating parameters of the target wind farm, and the abnormal operation type of the abnormally operating unit is fed back to the target client.

[0106] Determine the abnormal operation type of the abnormally operating unit according to the operating parameters of the target wind farm. Specifically, the abnormal operation types include aerodynamic balance failure, pitch motor failure, yaw brake pad status failure, wind deviation failure, hydraulic system failure, measurement effect failure and anemometer failure. The judgment method can refer to the above content.

[0107] Since the electronic device introduced in this embodiment is an electronic device used to implement the information processing method in the embodiment of the present application, based on the information processing method introduced in the embodiment of the present application, a person skilled in the art can understand the specific implementation of the electronic device of the present embodiment and its various variations, so how the electronic device implements the method in the embodiment of the present application is not described in detail here. As long as a person skilled in the art implements the electronic device used by the information processing method in the embodiment of the present application, it belongs to the scope of protection of this application.

[0108] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0109] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, 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, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0110] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0111] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1The steps for the functions specified in one or more boxes.

[0112] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0113] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A wind farm operation and maintenance management system, characterized in that: The system includes: The wind farm operation and maintenance management system includes a fault alarm module and a performance evaluation module; The fault alarm module is used to obtain the alarm real-time parameter set of the target wind farm within the target time length, and judge whether there is a need to send an early warning signal to the target client according to the alarm real-time parameter set of the target wind farm, and if so, send the early warning signal and the early warning type of the early warning signal to the target client, wherein the target wind farm includes a plurality of units, each of which is composed of a plurality of devices; The performance evaluation module is used to obtain the evaluation real-time parameter set of the target wind farm and determine the performance of the wind turbine group of the target wind farm according to the evaluation real-time parameter set, and determine whether the target wind farm meets the preset operation requirements according to the performance of the wind turbine group of the target wind farm.

2. A wind farm operation and maintenance management system according to claim 1, characterized in that: include: The warning types include aerodynamic balance warning, pitch motor warning, yaw brake pad status warning, wind deviation warning, hydraulic system warning, measurement effect warning and anemometer failure warning.

3. A wind farm operation and maintenance management system as claimed in claim 2, characterized in that: Regarding pneumatic balance warning, including: The fault alarm module obtains a first alarm real-time parameter subset of the target wind farm, the first alarm real-time parameter subset includes the natural frequency, the unit operating speed, and the rated power of the unit of the target wind farm, and the first alarm real-time parameter subset belongs to the alarm real-time parameter set; The fault alarm module determines the rotation frequency characteristics of the units of the target wind farm according to several parameters in the first alarm real-time parameter subset of the target wind farm; The fault alarm module determines the deviation of the generator set of the target wind farm according to the rotation frequency characteristics of the generator set of the target wind farm and the natural frequency of the generator set of the target wind farm; The fault alarm module determines whether there is a need to send a warning signal to the target client according to the deviation and a preset deviation threshold; If so, the fault alarm module sends the pneumatic balance warning to the target client.

4. A wind farm operation and maintenance management system as claimed in claim 2, characterized in that: Regarding the pitch motor warning, including: The fault alarm module acquires a second alarm real-time parameter subset of the target wind farm, the second alarm real-time parameter subset includes the temperature of the units in the target wind farm under several working conditions, and the second alarm real-time parameter subset belongs to the alarm real-time parameter set; The fault alarm module determines whether there is a need to send an early warning signal to the target client according to the second alarm real-time parameter subset and a preset temperature threshold; If so, the fault alarm module sends the pitch motor warning to the target client.

5. A wind farm operation and maintenance management system as claimed in claim 2, characterized in that: Regarding the yaw brake pad status warning, including: The fault alarm module acquires a third alarm real-time parameter subset of the target wind farm, the third alarm real-time parameter subset includes the yaw speed of the unit of the target wind farm, and the third alarm real-time parameter subset belongs to the alarm real-time parameter set; The fault alarm module determines whether there is a need to send an early warning signal to the target client according to the third alarm real-time parameter subset; If so, the fault alarm module sends the yaw brake pad status warning to the target client.

6. A wind farm operation and maintenance management system as claimed in claim 2, characterized in that: Regarding wind deviation warning, it includes: The fault alarm module obtains a fourth alarm real-time parameter subset of the target wind farm, the fourth alarm real-time parameter subset includes the wind speed, wind direction, yaw error, and cabin angle, unit operating speed and rated power of the target wind farm, and the fourth alarm real-time parameter subset belongs to the alarm real-time parameter set; The fault alarm module performs plane rectangular coordinate transformation according to the cabin angle and the yaw error; After the plane rectangular coordinate transformation, the fault alarm module constructs a capture matrix according to the wind speed and the rated power; The fault alarm module performs three-mean calculation based on the capture matrix and obtains the inflection point of the target curve; The fault alarm module determines whether there is a need to send a warning signal to the target client according to the inflection point of the target curve; If so, the fault alarm module sends the wind deviation warning to the target client.

7. A wind farm operation and maintenance management system as claimed in claim 2, characterized in that: The hydraulic system early warning includes: The fault alarm module acquires a fifth alarm real-time parameter subset of the target wind farm, wherein the fifth alarm real-time parameter subset includes the rated power, the running speed, the vibration amplitude, the hydraulic system pressure and the yaw state of the units of the target wind farm; The fault alarm module determines whether there is a need to send an early warning signal to the target client according to the fifth alarm real-time parameter subset; If so, the fault alarm module sends the hydraulic system warning to the target client.

8. A wind farm operation and maintenance management system according to claim 1, characterized in that: include: The wind turbine performance includes output performance, system performance, component performance and safety performance.

9. A wind farm operation and maintenance management system as claimed in claim 8, characterized in that: Regarding output performance, including: The performance evaluation module is used to obtain a first evaluation real-time parameter subset of the target wind farm, the first evaluation real-time parameter subset includes the rated power, wind speed, yaw to wind, temperature and vibration state of the units of the target wind farm, and the first evaluation real-time parameter subset belongs to the evaluation real-time parameter set; The performance evaluation module determines a wind speed power capture matrix according to a first evaluation real-time parameter subset of the target wind farm; The performance evaluation module determines the output performance of the units of the target wind farm according to the wind speed power capture matrix.

10. A wind farm operation and maintenance management method, characterized in that: Based on any one of claims 1 to 9, the wind farm operation and maintenance management system, the method comprises: Obtaining the operating parameters of the target wind farm within the target duration; Determining the operating status of several units in the target wind farm according to the operating parameters of the target wind farm within the target duration, wherein the operating status includes abnormal operation and normal operation; When there is an abnormally operating unit, the abnormal operation type of the abnormally operating unit is determined according to the operating parameters of the target wind farm, and the abnormal operation type of the abnormally operating unit is fed back to the target client.

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