Method and system for detecting electromagnetic brake driving module of wind power paddle

Abstract

The invention discloses a method and system for detecting an electromagnetic brake driving module of a wind power paddle, and belongs to the technical field of wind power generation. Historical wind speeds of an area where a preset wind power generator is located are obtained, electromagnetic brake records under the historical wind speeds are collected, and the maximum month of the wind speeds of the area where the preset wind power generator is located is obtained; and according to the collected electromagnetic braking record and / or historical wind speed, the electromagnetic braking force of the wind driven generator blade is preset, and the braking force is divided. By acquiring the historical wind speed and the electromagnetic brake record of the area where the preset wind driven generator is located and acquiring the rotating speeds of the blades under different wind speed conditions, the braking force can be autonomously adjusted according to different wind speeds in the future time period, so that the electromagnetic brake force is matched with the wind speed; therefore, the blades can be safely braked within the preset time under the condition of different wind speeds, and the operation safety and reliability of the wind driven generator are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of wind power generation, and in particular to a detection method and system for an electromagnetic brake drive module of a wind power blade. Background Art

[0002] As a clean and sustainable energy source, wind power generation is widely used in the field of power generation. However, wind turbines also face some challenges during operation, such as excessive wind speed or generator failure. In order to protect the safe operation of wind turbines, electromagnetic brakes are used in wind turbines. The electromagnetic brakes of wind turbines are achieved by utilizing the principles of electromagnetic induction and magnetomechanics. Electromagnetic induction produces induced electromotive force, and the principle of magnetomechanics produces electromagnetic attraction, thereby achieving a braking effect.

[0003] However, the current braking technology does not have the function of deep autonomous learning and detection, and it is difficult to autonomously adjust the braking force according to different wind speeds. If the brakes are applied according to a fixed force, in the case of strong winds, it will be difficult for the blades to stop in time. In this case, it is easy to cause the wind turbine to malfunction. When the wind is weak, if the brakes are applied according to a fixed force, the wind turbine will deviate to the side due to the inertia generated by the instantaneous braking, which will cause the wind turbine to become unstable to a certain extent. Summary of the invention

[0004] In view of the above problems existing in the existing wind power generation field, the present invention is proposed.

[0005] Therefore, one of the objects of the present invention is to provide a detection method and system for an electromagnetic brake drive module of a wind turbine blade, which can autonomously adjust the braking force according to different wind speeds in future time periods by obtaining the historical wind speed and electromagnetic brake records of the preset wind turbine area, and by obtaining the blade rotation speed under different wind speeds, so that the electromagnetic brake force matches the wind speed, and then the blades can be safely stopped within a preset time under different wind speeds, thereby improving the safety and reliability of the wind turbine operation.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0007] In one aspect, the present invention provides a method for detecting an electromagnetic brake drive module of a wind turbine blade, the method comprising a monitoring and control method for the electromagnetic brake drive module, the monitoring and control method comprising the following steps:

[0008] Step S10: obtaining the historical wind speed of the area where the preset wind turbine is located, collecting the electromagnetic brake records under each historical wind speed, and obtaining the month with the most wind speeds in the area where the preset wind turbine is located;

[0009] Step S20: presetting the electromagnetic braking force of the wind turbine blades according to the collected electromagnetic braking records and / or historical wind speeds, and dividing the braking force;

[0010] Step S30: collecting data information of different preset electromagnetic brake forces, generating a data model, and using Q-learning algorithm to enhance learning to form an enhanced data model;

[0011] Step S40: obtaining the wind speed variation pattern in different months in the area where the preset wind turbine is located, collecting the wind speed variation frequency, and generating a prediction model;

[0012] Step S50: obtaining the blade speeds of the preset wind turbine under different historical wind speed conditions, collecting the speed change rules under different wind speed conditions, and importing the speed change rules into the prediction model, and updating the prediction model at the same time;

[0013] Step S60: record the communication base station and / or the communication base station operator that matches the preset wind turbine location, receive the field data uploaded by the preset wind turbine location, and update the background data at the same time.

[0014] As a preferred solution of the present invention, in step S10, the electromagnetic brake record includes the braking time and braking force of the blade under different wind speed conditions, analyzes the correlation data among different wind speeds, braking force and braking time, and calculates the change law of the braking time of different braking forces under different wind speeds, which is calculated according to the following formula:

[0015] f i =σ(w i ·[h i |x i ]+β); where f i It represents the braking time collected for the ith time at the same braking force under different wind speed conditions;

[0016] Where σ represents the interval between different collected brake stops under the same braking force, w i represents the different braking forces used for the i-th time under the same wind speed, h i Indicates the number of times a certain braking force is used for the i-th time under the same wind speed, x i It represents the shortest braking time collected for the ith time under the same wind speed and the same braking force, and β represents the change of wind speed during the braking process.

[0017] As a preferred solution of the present invention, in step S30, the data information includes the lateral deviation data of the wind turbine when different braking forces are adopted under the same wind speed, and the correlation change between different braking forces and lateral deviation data is analyzed, and the ROC curve is drawn to calculate the proportion of the lateral deviation data change to the braking force change, which is calculated according to the following formula:

[0018] Among them, g i Indicates the maximum side deviation change data collected for the i-th time under different braking forces;

[0019] Wherein, ο represents the blade speed value when no braking operation is performed under the same wind speed, m represents the average blade speed value under the same wind speed, and γ i represents the blade speed value corresponding to the i-th different braking force conditions, c i It represents the maximum blade speed value collected for the i-th time under the same wind speed condition.

[0020] As a preferred solution of the present invention, in step S40, the wind speed change pattern in different months includes the wind direction pattern and the duration pattern of different wind speeds, and analyzes the change value of the blade speed under different wind speeds and / or the same wind speed under different wind directions, and analyzes the influence of the change value on different braking forces.

[0021] As a preferred solution of the present invention, in step S20, the braking force is divided into Δ1, Δ2, ..., Δ n , where n represents the nth level of braking force. The higher the level, the stronger the braking force. At the same time, different wind speeds are matched for different braking forces, and the braking stop time is matched according to the different braking forces. The safety threshold is preset based on the matched braking stop time. When the braking stop time of the area where the preset wind turbine is located in the future period exceeds the safety threshold under the same wind speed and the same braking force, an information acquisition request for the early warning status of the wind turbine is initiated to the corresponding communication base station and / or the communication base station operator, and the safety threshold is reassigned. Otherwise, no information acquisition request is issued.

[0022] As a preferred solution of the present invention, wherein: the blade speed value is preset according to different wind speeds, and the braking force Δ1, Δ2, ..., Δ n When the matched braking force fails to stop the propeller blades within the corresponding braking time in the future period, the system automatically starts a higher level of braking force, analyzes the reason why the original braking force fails to stop the propeller blades within the corresponding braking time, and updates the level of the original matched braking force.

[0023] As a preferred solution of the present invention, a risk threshold is preset based on the maximum blade speed under different historical wind speed conditions in the area where the preset wind turbine is located. When the blade speed under the corresponding wind speed condition in the future time period exceeds the risk threshold, the system determines that the wind turbine has failed and initiates an information acquisition request for the wind turbine failure status to the corresponding communication base station and / or the communication base station operator. Otherwise, no information acquisition request is issued.

[0024] As a preferred solution of the present invention, the following is described, wherein: the months with the most cases exceeding the risk threshold are counted, and the operating status index data of the wind turbine before and after the failure of the wind turbine in the said months are collected, and a comparative analysis is performed at the same time, and a critical value is preset based on the average value of the operating status index. When the operating status index of the wind turbine in the said month in the future period exceeds the critical value, the system determines that the wind turbine has a failure risk and issues a warning, otherwise, no determination is made.

[0025] As a preferred solution of the present invention, the method further comprises a power-on detection method for the electromagnetic brake drive module, and the power-on detection method comprises the following steps:

[0026] Step S101: Power on the slip ring of the electromagnetic brake drive module. Currently, all three cabinets are in manual mode and are powered off.

[0027] Step S102: Power on the modified cabinet;

[0028] Step S103: After the electromagnetic brake drive module is powered on, the blades should stop at the 87-degree proximity switch position. The modified cabinet is manually moved in a backward direction, that is, the pitch is changed in the 90-degree direction. At this time, the blades should be able to move. Listen to see if the motor has an opening and closing action. At the same time, it is tested to determine whether the pitch cannot be changed forward at this time, that is, the pitch is changed in the 0-degree direction.

[0029] Step S104: Manually change the pitch backward until the 92-degree limit switch is triggered. After the 92-degree limit switch is triggered, manual forward and backward control are both invalid, and there is no opening and closing action;

[0030] Step S105: Use the short-circuit to switch to the forced manual state. At this time, both forward and backward movements are possible. In the forced manual state, the blades are changed forward to about 70 degrees. The opening and closing actions are correct. At this time, be careful not to change the blades backward to prevent the toothed belt from breaking after exceeding the limit.

[0031] Step S106: cancel the forced manual state;

[0032] Step S107: When it is determined that the power-on inspection personnel are in a safe position, the cabinet is switched to the automatic state. At this time, the blades should be able to automatically move to the 87-degree position, and the opening and closing actions are correct;

[0033] Step S108: If the power-on inspection personnel modify multiple cabinets, when testing other cabinets, the cabinet after the test should still be switched to the manual state and the power supply should be cut off;

[0034] Step S109: After the power-on test is successful, the cabinet is restored, the electromagnetic brake drive module is powered on and switched to automatic mode, and the tools and work residues in the wheel hub are taken away.

[0035] On the other hand, the present invention provides a system for detecting an electromagnetic brake drive module of a wind turbine blade, comprising:

[0036] An information acquisition module is used to obtain historical wind speeds and electromagnetic brake records of the area where the preset wind turbine is located, and to obtain the months with the most wind speeds in the area where the preset wind turbine is located, and to preset the electromagnetic brake force of the wind turbine blades according to the obtained electromagnetic brake records and / or historical wind speeds, and to divide the brake force;

[0037] The data acquisition module is used to collect data information of different preset electromagnetic brake forces and generate a data model. At the same time, the Q-learning algorithm is used to enhance learning to form an enhanced data model.

[0038] The fusion analysis module is used to obtain the wind speed variation pattern in different months in the area where the preset wind turbine is located, collect the wind speed variation frequency, and generate a prediction model;

[0039] It also includes a method for obtaining the blade speed of the preset wind turbine under different historical wind speed conditions, collecting the speed change law under different wind speed conditions, and importing the speed change law into the prediction model, and updating the prediction model at the same time;

[0040] A fault determination unit, the fault determination unit comprising an extraction module and an analysis module;

[0041] The extraction module is used to obtain the operating status index data of the wind turbine before and after the failure occurs;

[0042] The analysis module is used to analyze the changing rules of the operating state of the wind turbine before a fault occurs;

[0043] At the same time, a critical value is preset based on the average value of the operating status index. When the operating status index of the wind turbine in the future period exceeds the critical value, the system determines that the wind turbine has a risk of failure;

[0044] The monitoring terminal records the communication base station and / or the communication base station operator that matches the preset wind turbine location, receives the field data uploaded from the preset wind turbine location, and updates the background data at the same time; when the operating status indicator of the preset wind turbine exceeds the critical value, a request for obtaining information on the early warning status of the transmission line is initiated to the communication base station and / or the communication base station operator corresponding to the preset wind turbine location.

[0045] Beneficial effects of the present invention: The present invention obtains the historical wind speed and electromagnetic brake records of the area where the preset wind turbine is located, obtains the blade speed under different wind speed conditions, and presets the electromagnetic brake force based on the electromagnetic brake record and historical wind speed. It can autonomously adjust the brake force according to different wind speeds in the future period, so that the electromagnetic brake force matches the wind speed, and can safely stop the blade within the preset time under different wind speed conditions. If the matching electromagnetic brake force cannot stop the blade in time due to changes in wind speed, the system will automatically adjust the electromagnetic brake force of a higher level, and can also predict the blade speed according to the wind speed to provide a fault assessment status, and then predict the risk faults existing in the operation of the wind turbine, thereby improving the safety and reliability of the operation of the wind turbine. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative labor. Among them:

[0047] Figure 1 This is a flow chart of a monitoring and control method for an electromagnetic brake drive module of a wind turbine blade according to Embodiment 1 of the present invention;

[0048] Figure 2 This is a schematic diagram of the modular structure of the electromagnetic brake drive module detection system for wind turbine blades according to Embodiment 1 of the present invention;

[0049] Figure 3 is a correlation curve diagram between the lateral deviation data of the wind turbine generator and different braking forces according to Example 1 of the present invention;

[0050] Figure 4 This is a flow chart of a power-on detection method of an electromagnetic brake drive module of a wind turbine blade in Embodiment 2 of the present invention;

[0051] Numbers in the figure: 110 - information acquisition module; 120 - data acquisition module; 130 - fusion analysis module; 140 - fault identification unit; 1401 - extraction module; 1402 - analysis module; 150 - monitoring terminal. DETAILED DESCRIPTION

[0052] In order to make the purpose, technical solution and advantages of the embodiment of the present invention clearer, the technical solution of the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings of the embodiment of the present invention. Obviously, the described embodiment is a part of the embodiment of the present invention, not all of the embodiments. Based on the described embodiment of the present invention, all other embodiments obtained by ordinary technicians in this field belong to the scope of protection of the present invention.

[0053] Since the current electromagnetic brake technology does not have the function of deep autonomous learning and detection, it is difficult to autonomously adjust the braking force according to different wind speeds. If the brakes are applied according to a fixed force, in the case of strong winds, it will be difficult for the blades to stop in time, which can easily cause the wind turbine to malfunction and, to a certain extent, cause the wind turbine to become unstable.

[0054] Based on this, the present invention proposes a detection method and system for an electromagnetic brake drive module of a wind turbine blade, which utilizes the historical wind speed and electromagnetic brake records of the preset wind turbine area, as well as the blade rotation speed under different wind speeds, and presets the electromagnetic brake force based on the electromagnetic brake records and historical wind speeds. The brake force can be autonomously adjusted according to different wind speeds in future time periods, so that the electromagnetic brake force matches the wind speed, and the blades can be safely stopped within a preset time under different wind speeds, thereby improving the safety of wind turbine operation.

[0055] The present invention is further described in detail below through embodiments and in conjunction with the accompanying drawings.

[0056] Embodiment 1

[0057] Reference Figures 1 to 3 , is an embodiment of the present invention, which provides a method for detecting an electromagnetic brake drive module of a wind turbine blade. The method of this embodiment is a monitoring and control method for the electromagnetic brake drive module, wherein the monitoring and control method includes the following steps:

[0058] Step S10: obtaining the historical wind speed of the area where the preset wind turbine is located, collecting the electromagnetic brake records under each historical wind speed, and obtaining the month with the most wind speeds in the area where the preset wind turbine is located;

[0059] It should be noted that the electromagnetic brake record includes the braking time and braking force of the blades under different wind speeds, analyzes the correlation data among different wind speeds, braking force and braking time, and calculates the change law of braking time under different wind speeds and different braking forces, which is calculated according to the following formula:

[0060] f i =σ(w i·[h i |x i ]+β); where f i It represents the braking time collected for the ith time at the same braking force under different wind speed conditions;

[0061] Where σ represents the interval between different collected brake stops under the same braking force, w i represents the different braking forces used for the i-th time under the same wind speed, h i Indicates the number of times a certain braking force is used for the i-th time under the same wind speed, x i represents the shortest braking time collected for the ith time under the same wind speed and the same braking force, and β represents the wind speed change value during the braking process;

[0062] Step S20: preset the electromagnetic braking force of the wind turbine blades according to the collected electromagnetic braking records and / or historical wind speed, and divide the braking force;

[0063] It should be noted that in this embodiment, the braking force is divided into Δ1, Δ2, ..., Δ n , where n represents the nth level of braking force. The higher the level, the stronger the braking force. At the same time, different wind speeds are matched for different braking forces. The braking stop time is matched according to the different braking forces, and the safety threshold is preset based on the matched braking stop time. When the braking stop time of the area where the preset wind turbine is located in the future period exceeds the safety threshold under the same wind speed and the same braking force, an information acquisition request for the early warning status of the wind turbine is initiated to the corresponding communication base station and / or the communication base station operator, and the safety threshold is reassigned. Otherwise, no information acquisition request is issued;

[0064] At the same time, based on the above, this embodiment presets the blade speed value according to different wind speeds, and matches the braking force Δ1, Δ2, ..., Δ n When the matched braking force fails to stop the propeller blades within the corresponding braking time in the future period, the system automatically starts a higher level of braking force, analyzes the reason why the original braking force fails to stop the propeller blades within the corresponding braking time, and updates the level of the original matched braking force;

[0065] Step S30: collecting data information of different preset electromagnetic brake forces, generating a data model, and using Q-learning algorithm to enhance learning to form an enhanced data model;

[0066] It should be emphasized in this embodiment that the data information includes the lateral deviation data of the wind turbine when different braking forces are adopted under the same wind speed, analyzes the correlation change between different braking forces and lateral deviation data, draws the ROC curve, and calculates the proportion of lateral deviation data change to braking force change, which is calculated according to the following formula:

[0067] Among them, g i Indicates the maximum side deviation change data collected for the i-th time under different braking forces;

[0068] Wherein, ο represents the blade speed value when no braking operation is performed under the same wind speed, m represents the average blade speed value under the same wind speed, and γ i represents the blade speed value corresponding to the i-th different braking force conditions, c i Indicates the maximum blade speed value collected for the i-th time under the same wind speed;

[0069] Step S40: obtaining the wind speed variation pattern in different months in the area where the preset wind turbine is located, collecting the wind speed variation frequency, and generating a prediction model;

[0070] Specifically, in this embodiment, the wind speed variation patterns in different months include wind direction patterns and duration patterns of different wind speeds, and analyze the blade speed variation values ​​under different wind speeds and / or different wind directions at the same wind speed, and analyze the influence of the variation values ​​on different braking forces;

[0071] Step S50: Based on step S40, the blade speeds of the preset wind turbine generator under different historical wind speed conditions are obtained, the speed change law under different wind speed conditions is collected, and the speed change law is imported into the prediction model, and the prediction model is updated at the same time;

[0072] Step S60: record the communication base station and / or the communication base station operator that matches the preset wind turbine location, receive the field data uploaded by the preset wind turbine location, and update the background data at the same time.

[0073] A risk threshold is preset based on the maximum blade speed under different historical wind speed conditions in the area where the preset wind turbine is located. When the blade speed under the corresponding wind speed conditions in the future period exceeds the risk threshold, the system determines that the wind turbine has failed and initiates an information acquisition request for the wind turbine failure status to the corresponding communication base station and / or communication base station operator. Otherwise, no information acquisition request is issued.

[0074] The system counts the months with the most wind turbines exceeding the risk threshold, collects the operating status index data before and after the wind turbine failure, and performs comparative analysis. It also presets a critical value based on the average value of the operating status index. When the operating status index of the wind turbine exceeds the critical value in the future period, the system determines that the wind turbine has a failure risk and issues an early warning. Otherwise, it does not make a determination.

[0075] It should be noted that in this embodiment, the operating status index data includes the vibration intensity of the wind turbine generator, the vertical angle between the wind turbine generator and the ground, and the blade torque.

[0076] Based on the above, the present application obtains the historical wind speed and electromagnetic braking records of the area where the preset wind turbine is located, as well as obtains the blade speed under different wind speed conditions, and presets the electromagnetic braking force based on the electromagnetic braking records and historical wind speed. It can autonomously adjust the braking force according to different wind speeds in future time periods, so that the electromagnetic braking force matches the wind speed, and then can safely stop the blades within a preset time under different wind speed conditions, thereby improving the safety of wind turbine operation.

[0077] In combination with the above-mentioned electromagnetic brake drive module detection method for wind turbine blades, this embodiment also proposes a system applied to the method, as follows:

[0078] The information acquisition module 110 is used to obtain the historical wind speed and electromagnetic brake records of the area where the preset wind turbine is located, and to obtain the months with the most wind speeds in the area where the preset wind turbine is located, and to preset the electromagnetic brake force of the wind turbine blades according to the obtained electromagnetic brake records and / or historical wind speed, and divide the brake force;

[0079] The data acquisition module 120 is used to collect data information of different preset electromagnetic brake forces and generate a data model, and at the same time use the Q-learning algorithm to enhance learning to form an enhanced data model;

[0080] The fusion analysis module 130 is used to obtain the wind speed variation law of the area where the preset wind turbine is located in different months, collect the wind speed variation frequency, and generate a prediction model; it also includes a method for obtaining the blade speed of the preset wind turbine under different historical wind speed conditions, collecting the speed variation law under different wind speed conditions, and importing the speed variation law into the prediction model, and updating the prediction model at the same time;

[0081] A fault determination unit 140, the fault determination unit comprises an extraction module 1401 and an analysis module 1402;

[0082] The extraction module 1401 is used to obtain the operating status index data of the wind turbine before and after the fault occurs;

[0083] The analysis module 1402 is used to analyze the changing pattern of the operating state of the wind turbine before a fault occurs;

[0084] At the same time, a critical value is preset based on the average value of the operating status index. When the operating status index of the wind turbine in the future period exceeds the critical value, the system determines that the wind turbine has a risk of failure;

[0085] The monitoring terminal 150 records the communication base station and / or the communication base station operator that matches the preset wind turbine location, receives the field data uploaded from the preset wind turbine location, and updates the background data at the same time; when the operating status indicator of the preset wind turbine exceeds the critical value, a request for obtaining information on the transmission line warning status is initiated to the communication base station and / or the communication base station operator corresponding to the preset wind turbine location.

[0086] In summary, this embodiment obtains the historical wind speed and electromagnetic brake records of the area where the preset wind turbine is located, obtains the blade speed under different wind speed conditions, and presets the electromagnetic brake force based on the electromagnetic brake record and historical wind speed. It can autonomously adjust the brake force according to different wind speeds in the future period, so that the electromagnetic brake force matches the wind speed, and then the blades can be safely stopped within the preset time under different wind speed conditions. If the matching electromagnetic brake force cannot stop the blades in time due to changes in wind speed, the system will automatically adjust the electromagnetic brake force of a higher level, and can also predict the blade speed according to the wind speed to provide a fault assessment status, and then predict the risk faults existing in the operation of the wind turbine, thereby improving the safety and reliability of the operation of the wind turbine.

[0087] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function according to the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium.

[0088] Embodiment 2

[0089] Reference Figure 4 , is an embodiment of the present invention, which provides a method for detecting an electromagnetic brake drive module of a wind turbine blade. The method of this embodiment is a power-on detection method for an electromagnetic brake drive module, wherein the power-on detection method includes the following steps:

[0090] Step S101: Power on the slip ring of the electromagnetic brake drive module. Currently, all three cabinets are in manual mode and are powered off.

[0091] Step S102: Power on the modified cabinet;

[0092] Step S103: After the electromagnetic brake drive module is powered on, the blades should stop at the 87-degree proximity switch position. The modified cabinet is manually moved backward, that is, the pitch is changed in the 90-degree direction. At this time, the blades should be able to move. Listen to whether the motor has an opening and closing action. At the same time, it is tested to determine that it is impossible to move forward at this time, that is, the pitch is changed in the 0-degree direction;

[0093] Step S104: Manually change the pitch backward until the 92-degree limit switch is triggered. After the 92-degree limit switch is triggered, manual forward and backward control are both invalid, and there is no opening and closing action;

[0094] Step S105: Use the short-circuit to switch to the forced manual state, at which point both forward and backward movements are possible. In the forced manual state, the blades are shifted forward to about 70 degrees, and the opening and closing movements are correct. Be careful not to shift the blades backward at this time to prevent the toothed belt from breaking after exceeding the limit.

[0095] Step S106: cancel the forced manual state;

[0096] Step S107: When it is determined that the power-on inspection personnel are in a safe position, the cabinet is switched to the automatic state. At this time, the blades should be able to automatically move to the 87-degree position, and the opening and closing actions are correct;

[0097] Step S108: If the power-on inspection personnel modify multiple cabinets, when testing other cabinets, the cabinet after the test should still be switched to the manual state and the power supply should be cut off;

[0098] Step S109: After the power-on test is successful, the cabinet is restored, the electromagnetic brake drive module is powered on and switched to automatic mode, and the tools and work residues in the wheel hub are taken away.

[0099] The on-site modification precautions for the above-mentioned power-on inspection personnel include: When working on the hub, two people need to supervise each other. It is strictly forbidden to work with power on, and a multimeter must be used to verify that there is no power before work can be carried out. The operator must wear labor protection supplies, insulating shoes, safety helmets, work clothes, etc. It is strictly forbidden to leave tools or other items in the pitch cabinet.

[0100] Based on the above, this embodiment provides specific method steps and precautions for the power-on detection method of the electromagnetic brake drive module, which can safely and comprehensively implement the power-on detection work of the electromagnetic brake drive module and improve the reliability of the unit operation.

[0101] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless otherwise contradictory. In addition, the terms "first" and "second" are used only for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present application, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0102] Any process or method description in the flow chart or otherwise described herein can be understood to represent a module, fragment or portion of a code including one or more executable instructions for implementing the steps of a specific logical function or process. And the scope of the preferred embodiment of the present application includes other implementations, in which the functions may not be performed in the order shown or discussed, including in a substantially simultaneous manner or in a reverse order according to the functions involved.

[0103] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, which can be embodied in any computer-readable medium for use by an instruction execution system, apparatus or device (such as a computer-based system, a system including a processor or other system that can fetch instructions from an instruction execution system, apparatus or device and execute instructions), or used in combination with these instruction execution systems, apparatuses or devices.

[0104] It should be understood that the various parts of the present application can be implemented with hardware, software, firmware or a combination thereof. In the above embodiments, multiple steps or methods can be implemented with software or firmware stored in a memory and executed by a suitable instruction execution system. All or part of the steps of the above embodiment method can be completed by instructing the relevant hardware through a program, which can be stored in a computer-readable storage medium, and when the program is executed, it includes one of the steps of the method embodiment or a combination thereof.

[0105] In addition, each functional unit in each embodiment of the present application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into one module. The above-mentioned integrated module can be implemented in the form of hardware or in the form of a software functional module. If the above-mentioned 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. The storage medium can be a read-only memory, a disk or an optical disk, etc.

[0106] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of various changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A method for detecting an electromagnetic brake drive module of a wind turbine blade, characterized in that: The method includes a monitoring and control method for an electromagnetic brake drive module, and the monitoring and control method includes the following steps: Step S10: obtaining the historical wind speed of the area where the preset wind turbine is located, collecting the electromagnetic brake records under each historical wind speed, and obtaining the month with the most wind speeds in the area where the preset wind turbine is located; Step S20: presetting the electromagnetic braking force of the wind turbine blades according to the collected electromagnetic braking records and / or historical wind speeds, and dividing the braking force; Step S30: collecting data information of different preset electromagnetic brake forces, generating a data model, and using Q-learning algorithm to enhance learning to form an enhanced data model; Step S40: obtaining the wind speed variation pattern in different months in the area where the preset wind turbine is located, collecting the wind speed variation frequency, and generating a prediction model; Step S50: obtaining the blade speeds of the preset wind turbine under different historical wind speed conditions, collecting the speed change rules under different wind speed conditions, and importing the speed change rules into the prediction model, and updating the prediction model at the same time; Step S60: record the communication base station and / or the communication base station operator that matches the preset wind turbine location, receive the field data uploaded by the preset wind turbine location, and update the background data at the same time.

2. A method for detecting an electromagnetic brake drive module of a wind turbine blade according to claim 1, characterized in that: In step S10, the electromagnetic brake record includes the braking time and braking force of the blade under different wind speeds, analyzes the correlation data among different wind speeds, braking force and braking time, and calculates the change law of the braking time of different braking forces under different wind speeds, which is calculated according to the following formula: f i =σ(w i ·[h i |x i ]+β); where f i It represents the braking time collected for the ith time at the same braking force under different wind speed conditions; Where σ represents the interval between different collected brake stops under the same braking force, w i represents the different braking forces used for the i-th time under the same wind speed, h i Indicates the number of times a certain braking force is used for the i-th time under the same wind speed, x i It represents the shortest braking time collected for the ith time under the same wind speed and the same braking force, and β represents the change of wind speed during the braking process.

3. A method for detecting an electromagnetic brake drive module of a wind turbine blade according to claim 1, characterized in that: In step S30, the data information includes the lateral deviation data of the wind turbine when different braking forces are adopted under the same wind speed, and the correlation change between different braking forces and lateral deviation data is analyzed, and the ROC curve is drawn to calculate the proportion of the lateral deviation data change to the braking force change, which is calculated according to the following formula: Among them, g i Indicates the maximum side deviation change data collected for the i-th time under different braking forces; Wherein, ο represents the blade speed value when no braking operation is performed under the same wind speed, m represents the average blade speed value under the same wind speed, and γ i represents the blade speed value corresponding to the i-th different braking force conditions, c i It represents the maximum blade speed value collected for the i-th time under the same wind speed condition.

4. A method for detecting an electromagnetic brake drive module of a wind turbine blade according to claim 1, characterized in that: In step S40, the wind speed variation patterns in different months include the wind direction patterns and the duration patterns of different wind speeds, and the blade speed variation values ​​at different wind speeds and / or the same wind speed under different wind directions are analyzed, and the influence of the variation values ​​on different braking forces is analyzed.

5. A method for detecting an electromagnetic brake drive module of a wind turbine blade according to claim 1, characterized in that: In step S20, the braking force is divided into Δ1, Δ2, ..., Δ n , where n represents the nth level of braking force. The higher the level, the stronger the braking force. At the same time, different wind speeds are matched for different braking forces, and the braking stop time is matched according to the different braking forces. The safety threshold is preset based on the matched braking stop time. When the braking stop time of the area where the preset wind turbine is located in the future period exceeds the safety threshold under the same wind speed and the same braking force, an information acquisition request for the early warning status of the wind turbine is initiated to the corresponding communication base station and / or the communication base station operator, and the safety threshold is reassigned. Otherwise, no information acquisition request is issued.

6. A method for detecting an electromagnetic brake drive module of a wind turbine blade as claimed in claim 5, characterized in that: Preset the blade speed value according to different wind speeds, and match the braking force Δ1, Δ2, ..., Δ n When the matched braking force fails to stop the propeller blades within the corresponding braking time in the future period, the system automatically starts a higher level of braking force, analyzes the reason why the original braking force fails to stop the propeller blades within the corresponding braking time, and updates the level of the original matched braking force.

7. A method for detecting an electromagnetic brake drive module of a wind turbine blade according to claim 1, characterized in that: A risk threshold is preset based on the maximum blade speed under different historical wind speed conditions in the area where the preset wind turbine is located. When the blade speed under the corresponding wind speed conditions in the future period exceeds the risk threshold, the system determines that the wind turbine has failed and initiates an information acquisition request for the wind turbine failure status to the corresponding communication base station and / or communication base station operator. Otherwise, no information acquisition request is issued.

8. A method for detecting an electromagnetic brake drive module of a wind turbine blade according to claim 7, characterized in that: The months with the most conditions exceeding the risk threshold are counted, and the operating status index data of the wind turbine before and after the failure in the said months are collected. A comparative analysis is performed at the same time, and a critical value is preset based on the average value of the operating status index. When the operating status index of the wind turbine in the said month exceeds the critical value in the future period, the system determines that the wind turbine is at risk of failure and issues a warning. Otherwise, no determination is made.

9. A method for detecting an electromagnetic brake drive module of a wind turbine blade according to claim 1, characterized in that: The method also includes a power-on detection method for the electromagnetic brake drive module, and the power-on detection method includes the following steps: Step S101: Power on the slip ring of the electromagnetic brake drive module. Currently, all three cabinets are in manual mode and are powered off. Step S102: Power on the modified cabinet; Step S103: After the electromagnetic brake drive module is powered on, the blades should stop at the 87-degree proximity switch position. The modified cabinet is manually moved backward, that is, the pitch is changed in the 90-degree direction. At this time, the blades should be able to move. Listen to whether the motor has an opening and closing action. At the same time, it is tested to determine that it is impossible to move forward at this time, that is, the pitch is changed in the 0-degree direction; Step S104: Manually change the pitch backward until the 92-degree limit switch is triggered. After the 92-degree limit switch is triggered, manual forward and backward control are both invalid, and there is no opening and closing action; Step S105: Use the short-circuit to switch to the forced manual state, at which point both forward and backward movements are possible. In the forced manual state, the blades are shifted forward to about 70 degrees, and the opening and closing movements are correct. Be careful not to shift the blades backward at this time to prevent the toothed belt from breaking after exceeding the limit. Step S106: cancel the forced manual state; Step S107: When it is determined that the power-on inspection personnel are in a safe position, the cabinet is switched to the automatic state. At this time, the blades should be able to automatically move to the 87-degree position, and the opening and closing actions are correct; Step S108: If the power-on inspection personnel modify multiple cabinets, when testing other cabinets, the cabinet after the test should still be switched to the manual state and the power supply should be cut off; Step S109: After the power-on test is successful, the cabinet is restored, the electromagnetic brake drive module is powered on and switched to automatic mode, and the tools and work residues in the wheel hub are taken away.

10. A system applied to a method for detecting an electromagnetic brake drive module of a wind turbine blade as claimed in claim 1, characterized in that: include: An information acquisition module is used to obtain historical wind speeds and electromagnetic brake records of the area where the preset wind turbine is located, and to obtain the months with the most wind speeds in the area where the preset wind turbine is located, and to preset the electromagnetic brake force of the wind turbine blades according to the obtained electromagnetic brake records and / or historical wind speeds, and to divide the brake force; The data acquisition module is used to collect data information of different preset electromagnetic brake forces and generate a data model. At the same time, the Q-learning algorithm is used to enhance learning to form an enhanced data model. A fusion analysis module is used to obtain the wind speed variation law of the area where the preset wind turbine is located in different months, collect the wind speed variation frequency, and generate a prediction model; it also includes a module for obtaining the blade speed of the preset wind turbine under different historical wind speed conditions, collecting the speed variation law under different wind speed conditions, and importing the speed variation law into the prediction model, and updating the prediction model at the same time; A fault determination unit, the fault determination unit comprising an extraction module and an analysis module; The extraction module is used to obtain the operating status index data of the wind turbine before and after the failure occurs; The analysis module is used to analyze the changing rules of the operating state of the wind turbine before a fault occurs; At the same time, a critical value is preset based on the average value of the operating status index. When the operating status index of the wind turbine in the future period exceeds the critical value, the system determines that the wind turbine has a risk of failure; The monitoring terminal records the communication base station and / or the communication base station operator that matches the preset wind turbine location, receives the field data uploaded by the preset wind turbine location, and updates the background data at the same time; When the operating status index of the preset wind turbine exceeds the critical value, a request for obtaining information on the early warning status of the power transmission line is initiated to the communication base station and / or the communication base station operator corresponding to the preset wind turbine area.

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