Method, device and equipment for monitoring wear of yaw brake and storage medium

Abstract

This application discloses a method, apparatus, device, and storage medium for monitoring the wear of a yaw brake, relating to the field of wind turbine technology. The method includes: acquiring the rotational speed of the yaw motor and the dragging time of the friction pads in the brake; inputting the rotational speed and the dragging time into a preset monitoring and early warning model to obtain the wear amount of the friction pads, wherein the preset monitoring and early warning model is based on a dragging test; accumulating the wear amount to obtain a cumulative slip wear amount; and outputting an alarm message if the cumulative slip wear amount exceeds a preset alarm value. In this application, by using a preset monitoring and early warning model with strictly defined analytical accuracy to analyze the precisely acquired yaw motor rotational speed and dragging time, the influence of any factors that reduce accuracy can be avoided, improving the accuracy of the wear amount and reducing errors in the wear amount, enabling accurate alarms when the friction pads need replacement.

Description

Technical Field

[0001] This application relates to the field of wind turbine technology, and in particular to a method, device, equipment and storage medium for monitoring the wear of a yaw brake. Background Technology

[0002] Wind turbine generators can use a yaw motor to drive the brake pads of the yaw assembly, which in turn brake the yaw gear ring. This allows the wind turbine to glide stably when yawing, and when the wind turbine is stable, the yaw motor also brakes using its own friction pads. However, the friction pads of the yaw motor wear out more and more over time.

[0003] To prevent friction pads from being used when they are not functioning properly, their wear must be monitored. A common monitoring method is to periodically check the yaw motor for faults, and only check the yaw motor if an anomaly is detected in the wind turbine and its source is the yaw motor. However, periodic checks rely on user experience to determine when to replace the friction pads, while anomaly checks only check the friction pads after a yaw motor failure, which is random. Therefore, the friction pads cannot be monitored in real time, and timely warnings are not issued when replacement is needed. Summary of the Invention

[0004] The main objective of this application is to provide a method, device, equipment, and storage medium for monitoring the wear of a yaw brake, aiming to solve the technical problem in the prior art that the friction pads of the yaw motor cannot be monitored in real time, so that the alarm cannot be triggered in time when the friction pads need to be replaced.

[0005] To achieve the above objectives, this application provides a wear monitoring method for a yaw brake, the wear monitoring method for the yaw brake comprising:

[0006] Obtain the rotational speed of the yaw motor and the drag time of the friction plates in the brake;

[0007] The rotational speed and the tumbling time are input into a preset monitoring and early warning model to obtain the wear amount of the friction plate. The preset monitoring and early warning model is based on the tumbling test.

[0008] The wear amount is accumulated to obtain the cumulative sliding wear amount. If the cumulative sliding wear amount is greater than the preset alarm value, an alarm message is output.

[0009] Optionally, before the step of inputting the rotational speed and the rubbing time into a preset monitoring and early warning model to obtain the wear amount of the friction plate, the method further includes:

[0010] A simulated dragging and grinding test was conducted on the friction plate to obtain the wear relationship between the wear amount and the rotational speed and dragging time of the yaw motor;

[0011] A preset monitoring and early warning model is obtained based on the wear relationship.

[0012] Optionally, the step of conducting a simulated dragging and grinding test on the friction plate to obtain the wear relationship between the wear amount and the rotational speed and dragging time of the yaw motor includes:

[0013] The friction plate was subjected to a simulated wear rate test to obtain the wear rate of the friction plate after one revolution at different rotation speeds;

[0014] The test time required to wear the friction plate to the point where the cumulative slip wear exceeds a preset alarm value at different rotational speeds;

[0015] By analyzing the relationship between the test time and the corresponding wear rate, the wear relationship between the wear amount and the rotational speed and dragging time of the yaw motor is obtained.

[0016] Optionally, before the step of simulating the test time required to wear the friction plate until the cumulative slip wear exceeds a preset alarm value at different rotational speeds, the method further includes:

[0017] Retrieve historical usage data of the friction pad, and statistically analyze the working condition information of the friction pad from the historical wear data;

[0018] Based on the aforementioned operating condition information, the random changing usage scenarios of the friction pads are simulated.

[0019] The friction process of the friction pad is simulated in the described usage scenario;

[0020] The wear and tear during the friction process is accumulated until the thickness of the friction plate reaches the replacement thickness, and then the preset alarm value of the friction plate is determined.

[0021] Optionally, the step of outputting an alarm message if the cumulative slippage wear exceeds a preset alarm value includes:

[0022] If the cumulative slip wear is greater than the preset alarm value, the maximum remaining wear and remaining wear time of the friction plate under the current working conditions are predicted.

[0023] The maximum remaining wear amount and the remaining wear time are combined to form an alarm message, and the alarm message is output.

[0024] Optionally, the step of combining the maximum remaining wear amount and the remaining wear time to form an alarm message includes:

[0025] The emergency level is determined based on the maximum remaining wear amount and the remaining wear time;

[0026] The emergency level, the maximum remaining wear amount, and the remaining wear time are combined to form an alarm message.

[0027] Optionally, the step of predicting the maximum remaining wear and remaining wear time of the friction plate under the current operating conditions if the cumulative slip wear is greater than a preset alarm value includes:

[0028] If the cumulative slip wear is greater than the preset alarm value, then the maximum remaining wear of the friction plate is determined;

[0029] Based on the maximum remaining wear, the remaining wear time required for the friction pad to wear down to the point of losing its braking function under the current operating conditions is predicted.

[0030] Furthermore, to achieve the above objectives, this application also provides a wear monitoring device for a yaw brake, the wear monitoring device for the yaw brake comprising:

[0031] The acquisition module is used to acquire the rotational speed of the yaw motor and the drag time of the friction pads in the brake;

[0032] The monitoring module is used to input the rotational speed and the tumbling time into a preset monitoring and early warning model to obtain the wear amount of the friction plate. The preset monitoring and early warning model is based on the tumbling test.

[0033] The alarm module is used to accumulate the wear amount to obtain the cumulative sliding wear amount. If the cumulative sliding wear amount is greater than the preset alarm value, an alarm message is output.

[0034] In addition, to achieve the above objectives, this application also proposes a wear monitoring device for a yaw brake, the device comprising: a memory, a processor, and a wear monitoring program for the yaw brake stored in the memory and executable on the processor, the wear monitoring program for the yaw brake being configured to implement the steps of the wear monitoring method for the yaw brake as described above.

[0035] In addition, to achieve the above objectives, this application also proposes a storage medium storing a wear monitoring program for a yaw brake, wherein when the wear monitoring program for the yaw brake is executed by a processor, it implements the steps of the wear monitoring method for the yaw brake as described above.

[0036] This application provides a method, apparatus, device, and storage medium for monitoring the wear of a yaw brake. Compared with the prior art, which cannot monitor the friction pads of the yaw motor in real time, thus failing to provide timely warnings when the friction pads need to be replaced, this application obtains the rotational speed of the yaw motor and the dragging time of the friction pads in the brake; inputs the rotational speed and the dragging time into a preset monitoring and early warning model to obtain the wear amount of the friction pads, the preset monitoring and early warning model being based on dragging tests; accumulates the wear amount to obtain the cumulative slip wear amount, and if the cumulative slip wear amount is greater than a preset alarm value, an alarm message is output. In this application, the wear amount is determined by analyzing the rotational speed and dragging time of the offset motor through a preset monitoring and early warning model. The rotational speed of the offset motor is precisely obtained from sensors, and the dragging time of the friction pads is also precisely acquired. The preset monitoring and early warning model is derived from dragging tests. Since the monitoring accuracy of the preset monitoring and early warning model can be strictly determined according to the user's wishes through testing, the precise acquisition of rotational speed, dragging time, and the preset monitoring and early warning model can reduce the influence of any factors that reduce accuracy. This allows for accurate determination of the wear amount of the friction pads. When the accumulated wear amount exceeds a preset alarm value, an alarm is triggered. In other words, this application, by using a preset monitoring and early warning model with strictly determined analytical accuracy to analyze the precisely acquired rotational speed and dragging time of the offset motor, avoids the influence of any factors that reduce accuracy, improves the accuracy of the wear amount, reduces errors in the wear amount, and enables accurate alarms when the friction pads need to be replaced. Attached Figure Description

[0037] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0038] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0039] Figure 1 This is a schematic diagram of the wear monitoring device mechanism for the yaw brake in the hardware operating environment involved in the embodiments of this application;

[0040] Figure 2 This is a flowchart illustrating the first embodiment of the wear monitoring method for the yaw brake of this application;

[0041] Figure 3 This is a cumulative wear diagram of the friction pads in the wear monitoring method for the yaw brake of this application;

[0042] Figure 4This is a flowchart illustrating the second embodiment of the wear monitoring method for the yaw brake in this application;

[0043] Figure 5 A wear quantity relationship diagram derived from test data of the wear monitoring method for the yaw brake in this application;

[0044] Figure 6 This is a flowchart illustrating the third embodiment of the wear monitoring method for the yaw brake in this application;

[0045] Figure 7 This is a schematic diagram of the structural configuration of the wear monitoring device for the yaw brake in this application.

[0046] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0047] It should be understood that the specific embodiments described herein are merely illustrative of this application and are not intended to limit this application.

[0048] Reference Figure 1 , Figure 1 This is a schematic diagram of the wear monitoring device for the yaw brake in the hardware operating environment of the embodiment of this application.

[0049] like Figure 1 As shown, the wear monitoring device for the yaw brake may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display screen or an input unit such as a keyboard; optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface). The memory 1005 may be a high-speed random access memory (RAM) or a stable non-volatile memory (NVM), such as a disk drive. The memory 1005 may also optionally be a storage device independent of the aforementioned processor 1001.

[0050] Those skilled in the art will understand that Figure 1The structure shown does not constitute a limitation on the wear monitoring device for the yaw brake, and may include more or fewer components than shown, or combine certain components, or have different component arrangements.

[0051] like Figure 1 As shown, the memory 1005, which serves as a storage medium, may include an operating system, a network communication module, a user interface module, and a wear monitoring program for the yaw brake.

[0052] exist Figure 1 In the wear monitoring device for the yaw brake shown, the network interface 1004 is mainly used for data communication with other devices; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and memory 1005 in the wear monitoring device for the yaw brake of this application can be set in the wear monitoring device for the yaw brake. The wear monitoring device for the yaw brake calls the wear monitoring program of the yaw brake stored in the memory 1005 through the processor 1001 and executes the wear monitoring method of the yaw brake provided in the embodiment of this application.

[0053] This application provides a method for monitoring the wear of a yaw brake, referring to... Figure 2 , Figure 2 This is a flowchart illustrating the first embodiment of a wear monitoring method for a yaw brake according to this application.

[0054] It should be noted that the execution subject of this embodiment can be the wear monitoring device of the yaw brake. The wear monitoring device of the yaw brake can be an electronic device such as a personal computer, smartphone, or tablet computer, or other devices that can achieve the same or similar functions. This embodiment does not limit this. In this embodiment and the following embodiments, the wear monitoring device of the yaw brake is used as an example to illustrate the wear monitoring method of the yaw brake of this application.

[0055] In this embodiment, the wear monitoring method for the yaw brake includes:

[0056] Step S10: Obtain the rotational speed of the yaw motor and the dragging time of the friction plate in the brake.

[0057] It should be noted that in order for the wind turbine to quickly and smoothly align with the wind direction and obtain more wind energy when the wind blows the blades, the yaw system in the wind turbine needs to be used to rotate the nacelle when the wind direction changes. The nacelle is then stopped by a brake to align the blades with the wind direction. The brake can be divided into at least a hybrid electric motor and hydraulic brake and an electric motor brake. When the yaw motor stops braking the nacelle, in order to improve the alignment accuracy between the blades and the wind direction, the friction pads inside the yaw motor need to brake the yaw motor in a timely manner. Since the friction pads wear more and more over time, in order to accurately obtain the amount of friction pad wear and improve the accuracy of monitoring and alarms, the rotational speed of the yaw motor during braking and the dragging time from receiving the braking command to the friction pads reaching zero speed can be accurately determined based on the motor's operating parameters. This makes the parameters used to determine the amount of wear more precise and improves the accuracy of the wear measurement.

[0058] It should be noted that the rotational speed of the yaw motor can be obtained through sensors, and the dragging time of the friction plate can be accurately obtained through a timing device.

[0059] Step S20: Input the rotational speed and the tumbling time into the preset monitoring and early warning model to obtain the wear amount of the friction plate. The preset monitoring and early warning model is obtained based on the tumbling test.

[0060] It should be noted that the preset monitoring and early warning model is obtained in advance based on the towing test. The towing test can accurately obtain the functional relationship between the wear amount and the speed of the yaw motor and the towing time. In other words, the test data can accurately control the accuracy of the monitoring and early warning module in obtaining the wear amount based on the speed and towing time, thereby improving the accuracy of the preset monitoring and early warning model.

[0061] In the specific implementation, the rotation speed and rubbing time are input into the preset monitoring and early warning model as variable parameters. The amount of wear is determined through the functional relationship in the preset monitoring and early warning model. The rotation speed and rubbing time are real-time data to ensure that an alarm is triggered in time when the amount of wear accumulates to the preset alarm value.

[0062] In practical implementation, the preset monitoring and early warning module can also acquire the speed signal in real time, and statistically analyze the speed and dragging time based on the speed signal to accurately obtain the speed of the yaw motor and the dragging time of the friction plate. Then, the wear amount is obtained by applying the speed and dragging time to the functional relationship obtained from the experimental function variables.

[0063] Step S30: Accumulate the wear amount to obtain the cumulative sliding wear amount. If the cumulative sliding wear amount is greater than the preset alarm value, then output alarm information.

[0064] It should be noted that the reference Figure 3 From use to replacement, friction plates go through a break-in stage, a stable wear stage, and a severe wear stage. The severe wear stage accelerates the wear rate of the friction plates, meaning that the friction plates wear out rapidly and their thickness decreases quickly. To allow users sufficient reaction and travel time, an alarm needs to be issued before the severe wear stage begins. This avoids issuing an alarm during the severe wear stage, reducing the user's reaction, preparation, and travel time. Consequently, it prevents the wind turbine from being damaged due to a malfunction when the accumulated friction reaches the fault line and the user has not yet arrived at the wind turbine or is not prepared to repair it.

[0065] The fault line of the friction plate can be understood as the minimum cumulative slip wear when the friction force provided by the friction plate is insufficient to stop the yaw motor from rotating stably. For example, if the remaining thickness of the friction plate is 8 mm, the yaw motor will stop rotating because the friction plate in the brake cannot provide enough friction force. That is, the brake loses its braking effect when the thickness of the friction plate is 8 mm. Then, when the remaining thickness of the friction plate is 9 mm, the friction force provided by the friction plate is no longer sufficient to stop the yaw motor from rotating stably. 9 mm can be regarded as the fault line of the friction plate.

[0066] In practical implementation, when the cumulative slip wear is detected to be greater than the preset alarm value (that is, when the cumulative wear is detected to be greater than the preset alarm value), Figure 3 The alarm line in the system outputs alarm information in a timely manner to remind the user to replace the friction pad.

[0067] In practical implementation, the wear amount can be statistically updated in real time through a preset monitoring and early warning model, and the brake can be monitored in real time based on the cumulative slip wear amount, so as to provide early warning and improve the operation and maintenance efficiency of the yaw brake.

[0068] This embodiment provides a wear monitoring method for a yaw brake. Compared with the prior art, which cannot monitor the friction pads of the yaw motor in real time, thus failing to provide timely warnings when the friction pads need to be replaced, this application obtains the rotational speed of the yaw motor and the dragging time of the friction pads in the brake; inputs the rotational speed and the dragging time into a preset monitoring and early warning model to obtain the wear amount of the friction pads, the preset monitoring and early warning model being based on dragging tests; accumulates the wear amount to obtain the cumulative slip wear amount, and if the cumulative slip wear amount is greater than a preset alarm value, an alarm message is output. In this application, the wear amount is determined by analyzing the rotational speed and dragging time of the offset motor through a preset monitoring and early warning model. The rotational speed of the offset motor is accurately obtained from sensors, and the dragging time of the friction pads can also be accurately obtained. The preset monitoring and early warning model is obtained based on dragging tests. Since the monitoring accuracy of the preset monitoring and early warning model can be strictly determined according to the user's wishes through tests, the influence of any factors that reduce accuracy can be reduced by accurately obtaining the rotational speed, dragging time, and preset monitoring and early warning model. The wear amount of the friction pads can be accurately determined, and an alarm is triggered when the accumulated wear amount exceeds the preset alarm value. In other words, this application, by analyzing the accurately obtained rotational speed and dragging time of the offset motor through a preset monitoring and early warning model with strictly determined analysis accuracy, can avoid the influence of any factors that reduce accuracy, improve the accuracy of the wear amount, reduce the error of the wear amount, and enable accurate alarm when the friction pads need to be replaced.

[0069] refer to Figure 4 , Figure 4 This is a flowchart illustrating the second embodiment of the wear monitoring method for the yaw brake in this application.

[0070] Based on the above embodiments, in this embodiment, in order to enable the preset monitoring and early warning model to obtain the wear amount more accurately based on the rotation speed and tumbling time, that is, to reduce the error in obtaining the wear amount, before step S20, the following steps are also included:

[0071] Step S01: Conduct a simulated dragging and grinding test on the friction plate to obtain the wear relationship between the wear amount and the rotational speed and dragging time of the yaw motor;

[0072] Step S02: Obtain a preset monitoring and early warning model based on the wear relationship.

[0073] It should be noted that, based on the model of the friction plate, the corresponding friction plate model is retrieved or modeled, and the friction plate model is used to simulate the use of the friction plate to obtain a large amount of test data. This ensures the accuracy and authenticity of the wear relationship obtained from the test data and minimizes the monitoring error of the preset monitoring and early warning model.

[0074] In the specific implementation, the model and brand of the friction pads to be monitored are first determined. The friction pad model of that model and brand is retrieved, or a friction pad model is established based on the data of the friction pads corresponding to that model and brand. The friction pad model is used to brake the yaw motor at a set speed to simulate the braking process of the yaw motor through the friction pads, thereby simulating the use of the friction pads and obtaining the wear relationship between the wear amount, speed, and dragging time. Based on this wear relationship, the functional relationship between the three is determined, and a preset monitoring and early warning model is established based on this functional relationship.

[0075] Furthermore, in order to accurately determine the wear relationship between wear amount and rotational speed and dredging time, step S01 includes:

[0076] Step S011: Conduct a simulated wear rate test on the friction plate to obtain the wear rate of the friction plate after one revolution at different rotation speeds;

[0077] Step S012: Simulate the test time required to wear the friction plate until the cumulative slip wear exceeds the preset alarm value at different rotation speeds;

[0078] Step S013: Analyze the relationship between the test time and the corresponding wear rate to obtain the wear relationship between the wear amount and the rotational speed and dragging time of the yaw motor.

[0079] It should be noted that the wear of the friction plate is simulated at different speeds, and the wear rate of the friction plate for one revolution at the corresponding speed is obtained based on the simulation results. The speed in the simulation process can be a pre-set speed. Then, the relationship between the speed and time of the friction plate at different speeds is simulated to determine the relationship between time and wear rate at different speeds. This clarifies the wear relationship between the amount of wear, speed, and dragging time. In other words, by first analyzing separately and then combining the results, the obtained wear relationship can be more accurate and convincing.

[0080] In the specific implementation, refer to Figure 5 Set the required rotational speed for simulation, and then simulate the use of the friction plate at each set rotational speed. Obtain the wear rate curve based on the data from the simulation. Since the changes between different rotational speeds are not abrupt, the wear curve between different rotational speeds and wear rates can be obtained based on the experimental data from multiple tests.

[0081] Optionally, before the step of simulating the test time required to wear the friction plate until the cumulative slip wear exceeds a preset alarm value at different rotational speeds, the method further includes:

[0082] Step Sa1: Retrieve the historical usage data of the friction pad and extract the working condition information of the friction pad from the historical wear data;

[0083] Step Sa2: Simulate the random changing usage scenarios of the friction pad based on the operating condition information;

[0084] Step Sa3: Simulate the friction process of the friction pad in the usage scenario;

[0085] Step Sa4: Accumulate the wear during the friction process until the thickness of the friction plate reaches the replacement thickness of the friction plate, and determine the preset alarm value of the friction plate.

[0086] It should be noted that, in order to avoid waste of friction pads, the working condition information of the friction pads can be obtained from historical usage data. Based on the working condition information, the usage scenarios of the friction pads can be simulated to recreate the actual usage scenarios. The usage process of the friction pads can be simulated in the usage scenarios to obtain friction data. Based on the friction data, the replacement thickness of the friction pads can be set, and the preset alarm value of the friction pads can be determined. That is, the replacement thickness of the friction pads can be updated multiple times through multiple tests, and the test process is visualized. This avoids the situation of pursuing accuracy without considering the needs. By observing the wear process of the friction pads each time during the test, the replacement thickness or preset alarm value of the friction pads can be reasonably determined based on the wear process.

[0087] refer to Figure 6 , Figure 6 This is a flowchart illustrating the third embodiment of the wear monitoring method for the yaw brake in this application.

[0088] Based on the above embodiments, the step of outputting an alarm message if the cumulative slippage wear exceeds a preset alarm value includes:

[0089] Step S1: If the cumulative slip wear is greater than the preset alarm value, then predict the maximum remaining wear and remaining wear time of the friction plate under the current working conditions.

[0090] Step S2: Combine the maximum remaining wear amount and the remaining wear time to form an alarm message, and output the alarm message.

[0091] It should be noted that if the cumulative slip wear exceeds the preset alarm value, the remaining wear time that the friction can still use under the current working conditions can also be predicted, as well as the maximum remaining wear of the friction pad, which is the thickness difference between the current thickness of the friction pad and the thickness at which the friction pad cannot be braked. The maximum thickness difference and the remaining wear time are combined to form an alarm message. When the cumulative slip wear of the friction pad exceeds the alarm line, the user is clearly reminded to prepare time, so that the user can make full preparations for maintenance within the preparation time. Therefore, the user can receive sufficient early warning.

[0092] In practice, if the cumulative slip wear is greater than the preset alarm value, the maximum remaining wear can be obtained by subtracting the thickness of the friction plate that cannot be braked from the current thickness of the friction plate, and the remaining wear time that can be maintained under the current working conditions of the friction plate can be determined based on the maximum remaining wear.

[0093] Further, the step of combining the maximum remaining wear amount and the remaining wear time to form an alarm message includes:

[0094] Step S201: Determine the emergency level based on the maximum remaining wear amount and the remaining wear time;

[0095] Step S202: The emergency level, the maximum remaining wear amount, and the remaining wear time are combined to form an alarm message.

[0096] It should be noted that determining the urgency level can prevent users from becoming tense every time they receive an alarm, thus affecting their work enthusiasm, and can also avoid over-scheduling.

[0097] In practical implementation, alarm information can also be sent at certain time intervals. That is, the latest alarm information is sent to the user at regular intervals. The lower the remaining maximum wear amount, the shorter the remaining wear time, or the higher the wear efficiency (the quotient of the maximum remaining amount and the remaining wear time), the higher the urgency level. Sending the urgency level plus alarm information to the user can not only improve the efficiency of preparation work through the user's perception, but also improve the efficiency of preparation work visually.

[0098] Further, the step of predicting the maximum remaining wear and remaining wear time of the friction plate under the current operating conditions if the cumulative slip wear is greater than a preset alarm value includes:

[0099] Step S101: If the cumulative slip wear is greater than the preset alarm value, then determine the maximum remaining wear of the friction plate;

[0100] Step S102: Based on the maximum remaining wear amount, predict the remaining wear time required for the friction pad to wear down to the point of losing its braking function under the current operating conditions.

[0101] It should be noted that, since friction pads may wear unevenly during use, if the thinnest part of the friction pad loses its braking function, the entire friction pad will be in a dangerous state. Therefore, to ensure that no danger occurs, if the cumulative slippage wear exceeds the preset alarm value, the maximum remaining thickness is obtained by subtracting the thickness at which the friction loses its braking function from the current thickness of the thinnest part of the friction pad. The remaining wear time required for the friction pad to wear down to the point of losing its braking function under the current operating conditions is then predicted, and an alarm message is sent to the user to warn them.

[0102] This application also provides a wear monitoring device for a yaw brake, referenced... Figure 7 The wear monitoring device for the yaw brake includes:

[0103] The acquisition module 701 is used to acquire the rotational speed of the yaw motor and the drag time of the friction plate in the brake;

[0104] The monitoring module 702 is used to input the rotational speed and the tumbling time into a preset monitoring and early warning model to obtain the wear amount of the friction plate. The preset monitoring and early warning model is based on the tumbling test.

[0105] The alarm module 703 is used to accumulate the wear amount to obtain the cumulative sliding wear amount. If the cumulative sliding wear amount is greater than the preset alarm value, an alarm message is output.

[0106] Optionally, the wear monitoring device for the yaw brake also includes:

[0107] The simulation module 704 is used to conduct a simulated dragging and grinding test on the friction plate to obtain the wear relationship between the wear amount and the rotational speed and dragging time of the yaw motor; and to obtain a preset monitoring and early warning model based on the wear relationship.

[0108] Optionally, the simulation module 704 is also used to conduct a simulated wear rate test on the friction plate to obtain the wear rate of the friction plate after one revolution at different speeds; to simulate the test time required to wear the friction plate to the point that the cumulative slip wear amount is greater than the preset alarm value at different speeds; and to analyze the relationship between the test time and the corresponding wear rate to obtain the wear relationship between the wear amount and the speed and dragging time of the yaw motor.

[0109] Optionally, the simulation module 704 is further configured to retrieve historical usage data of the friction pad, statistically analyze the working condition information of the friction pad from the historical wear data, simulate randomly changing usage scenarios of the friction pad based on the working condition information, simulate the friction process of the friction pad in the usage scenarios, accumulate the wear amount during the friction process until the thickness of the friction pad reaches the replacement thickness of the friction pad, and determine the preset alarm value of the friction pad.

[0110] Optionally, the alarm module 703 is further configured to predict the maximum remaining wear and remaining wear time of the friction plate under the current working condition if the cumulative slip wear is greater than a preset alarm value; to form an alarm message from the maximum remaining wear and the remaining wear time; and to output the alarm message.

[0111] Optionally, the alarm module 703 is further configured to determine the emergency level based on the maximum remaining wear amount and the remaining wear time; and to combine the emergency level, the maximum remaining wear amount, and the remaining wear time into alarm information.

[0112] Optionally, the alarm module 703 is further configured to determine the maximum remaining wear of the friction pad if the cumulative slip wear is greater than a preset alarm value; and based on the maximum remaining wear, predict the remaining wear time required for the friction pad to wear down to the point of losing its braking function under the current operating conditions.

[0113] The specific implementation of the wear monitoring device for the yaw brake in this application is basically the same as the various embodiments of the wear monitoring method for the yaw brake described above, and will not be repeated here.

[0114] This application provides a storage medium that stores one or more programs, which can be executed by one or more processors to implement the steps of the yaw brake wear monitoring method described above.

[0115] The specific implementation of the storage medium in this application is basically the same as the various embodiments of the wear monitoring method for the yaw brake described above, and will not be repeated here.

[0116] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one, etc." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0117] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0118] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods of the various embodiments of this application.

[0119] The above are merely preferred embodiments of this application and do not limit the scope of this patent application. Any equivalent structural or procedural changes made based on the description and drawings of this application, or any direct or indirect application in other related technical fields, are similarly included within the scope of patent protection of this application.

Claims

1. A method for monitoring the wear of a yaw brake, characterized in that, The wear monitoring method for the yaw brake includes: Obtain the rotational speed of the yaw motor and the drag time of the friction plates in the brake; The rotational speed and the tumbling time are input into a preset monitoring and early warning model to obtain the wear amount of the friction plate. The preset monitoring and early warning model is based on the tumbling test. The wear amount is accumulated to obtain the cumulative sliding wear amount. If the cumulative sliding wear amount is greater than the preset alarm value, an alarm message is output. Prior to the step of inputting the rotational speed and the rubbing time into a preset monitoring and early warning model to obtain the wear amount of the friction plate, the method further includes: A simulated dragging and grinding test was conducted on the friction plate to obtain the wear relationship between the wear amount and the rotational speed and dragging time of the yaw motor; A preset monitoring and early warning model is obtained based on the wear relationship; The step of conducting a simulated dragging and grinding test on the friction plate to obtain the wear relationship between the wear amount and the rotational speed and dragging time of the yaw motor includes: The friction plate was subjected to a simulated wear rate test to obtain the wear rate of the friction plate after one revolution at different rotation speeds; The test time required to wear the friction plate to the point where the cumulative slip wear exceeds a preset alarm value at different rotational speeds; By analyzing the relationship between the test time and the corresponding wear rate, the wear relationship between the wear amount and the rotational speed and dragging time of the yaw motor is obtained.

2. The wear monitoring method for the yaw brake as described in claim 1, characterized in that, Before the step of simulating the test time required to wear the friction plate to a cumulative slip wear amount greater than a preset alarm value at different rotational speeds, the method further includes: Retrieve historical usage data of the friction pad, and statistically analyze the working condition information of the friction pad from the historical wear data; Simulate the random changing usage scenarios of the friction pad based on the aforementioned working condition information; The friction process of the friction pad is simulated in the described usage scenario; The wear and tear during the friction process is accumulated until the thickness of the friction plate reaches the replacement thickness, and then the preset alarm value of the friction plate is determined.

3. The wear monitoring method for the yaw brake as described in any one of claims 1-2, characterized in that, The step of outputting an alarm message if the cumulative slippage wear exceeds a preset alarm value includes: If the cumulative slip wear is greater than the preset alarm value, the maximum remaining wear and remaining wear time of the friction plate under the current working conditions are predicted. The maximum remaining wear amount and the remaining wear time are combined to form an alarm message, and the alarm message is output.

4. The wear monitoring method for the yaw brake as described in claim 3, characterized in that, The step of combining the maximum remaining wear amount and the remaining wear time to form an alarm message includes: The emergency level is determined based on the maximum remaining wear amount and the remaining wear time; The emergency level, the maximum remaining wear amount, and the remaining wear time are combined to form an alarm message.

5. The wear monitoring method for the yaw brake as described in claim 3, characterized in that, The step of predicting the maximum remaining wear and remaining wear time of the friction plate under the current working condition if the cumulative slip wear is greater than the preset alarm value includes: If the cumulative slip wear is greater than the preset alarm value, then the maximum remaining wear of the friction plate is determined; Based on the maximum remaining wear, the remaining wear time required for the friction pad to wear down to the point of losing its braking function under the current operating conditions is predicted.

6. A wear monitoring device for a yaw brake, characterized in that, The wear monitoring device for the yaw brake includes: The acquisition module is used to acquire the rotational speed of the yaw motor and the drag time of the friction pads in the brake; The monitoring module is used to input the rotational speed and the tumbling time into a preset monitoring and early warning model to obtain the wear amount of the friction plate. The preset monitoring and early warning model is based on the tumbling test. The alarm module is used to accumulate the wear amount to obtain the cumulative sliding wear amount. If the cumulative sliding wear amount is greater than the preset alarm value, an alarm message is output. The simulation module is used to conduct a simulated dragging and grinding test on the friction plate to obtain the wear relationship between the wear amount and the rotational speed and dragging time of the yaw motor; and to obtain a preset monitoring and early warning model based on the wear relationship. The simulation module is also used to conduct a simulated wear rate test on the friction plate to obtain the wear rate of the friction plate after one revolution at different speeds; to simulate the test time required to wear the friction plate to the point that the cumulative slip wear amount is greater than the preset alarm value at different speeds; and to analyze the relationship between the test time and the corresponding wear rate to obtain the wear relationship between the wear amount and the speed and dragging time of the yaw motor.

7. A wear monitoring device for a yaw brake, characterized in that, The wear monitoring device for the yaw brake includes: a memory, a processor, and a wear monitoring program for the yaw brake stored in the memory and executable on the processor, wherein the wear monitoring program for the yaw brake is configured to implement the steps of the wear monitoring method for the yaw brake as described in any one of claims 1 to 6.

8. A storage medium, characterized in that, The storage medium stores a program for implementing a wear monitoring method for a yaw brake, and the program for implementing the wear monitoring method for a yaw brake is executed by a processor to implement the steps of the wear monitoring method for a yaw brake as described in any one of claims 1 to 6.

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