Over-temperature protection method, device and equipment for brake of high-speed shaft of wind turbine generator and medium

Abstract

The invention discloses a wind turbine generator high-speed shaft brake overtemperature protection method, device and equipment and a medium. The method comprises the steps of obtaining historical temperature data of a high-speed shaft brake of a wind turbine generator; processing the historical temperature data to obtain a temperature change rate; determining a first correlation feature according to the temperature change rate; based on the historical temperature data, the plurality of first correlation features and historical operation states of the high-speed shaft brake, training a to-be-trained neural network, the operation states of the high-speed shaft brake including overheating operation and normal operation, and the to-be-trained neural network being used for predicting the operation state of the high-speed shaft brake; and when the preset training requirement is met, taking the to-be-trained neural network as the high-speed shaft brake overtemperature protection neural network. The invention belongs to the field of high-speed shaft brake systems. According to the method, the high-speed shaft brake can be protected in a layered manner according to the probability of fire occurrence.

Description

Technical Field

[0001] The present invention relates to the field of high-speed shaft braking systems, and particularly to a method, device, equipment, and medium for over-temperature protection of a high-speed shaft brake in a wind turbine generator set. Background Art

[0002] A wind turbine generator set, usually referring to a wind power generation set, is a device that converts wind energy into electrical energy. A complete wind power generation set mainly includes: a wind rotor (Rotor), a main shaft (Main shaft), a gearbox (Gearbox), a generator (Generator), a tower (Tower), and a high-speed shaft braking system, etc.

[0003] The high-speed shaft brake is an important component in a wind turbine generator set and is usually used to quickly brake the high-speed rotation of the wind rotor during shutdown or emergency. When the brake pads of the high-speed shaft brake abnormally rub against the brake disc, a large amount of heat will be generated, and a fire is likely to occur. How to accurately judge whether the operation of the high-speed shaft braking system is overheated is a hot topic of discussion currently. In view of this, the present invention provides a method for over-temperature protection of a high-speed shaft brake in a wind turbine generator set. Summary of the Invention

[0004] By providing a method, device, equipment, and medium for over-temperature protection of a high-speed shaft brake in a wind turbine generator set, the present invention solves the technical problem of how to accurately judge whether the operation of the high-speed shaft braking system is overheated in the prior art, and achieves the technical effect of accurately judging whether the operation of the high-speed shaft braking system is overheated.

[0005] In a first aspect, the present invention provides a method for over-temperature protection of a high-speed shaft brake in a wind turbine generator set, the method including:

[0006] Obtain historical temperature data of the high-speed shaft brake of the wind turbine generator set, where the historical temperature data includes brake disc temperature data and brake pad temperature data;

[0007] Process the historical temperature data to obtain a temperature change rate, where the temperature change rate includes a brake disc temperature change rate and a brake pad temperature change rate;

[0008] Determine a first correlation feature according to the temperature change rate;

[0009] Train a neural network to be trained based on the historical temperature data, a number of first correlation features, and the historical operating state of the high-speed shaft brake, where the operating state of the high-speed shaft brake includes overheated operation and normal operation, and the neural network to be trained is used to predict the operating state of the high-speed shaft brake;

[0010] When a preset training requirement is met, use the neural network to be trained as a high-speed shaft brake over-temperature protection neural network.

[0011] Further, process the historical temperature data to obtain the temperature change rate, including:

[0012]

[0013] where B p，i is the temperature change rate of the brake disc at time i, T p，i is the temperature of the brake disc at time i, T p，k is the temperature of the brake disc at time k, and i - k is the time difference between time i and time k. B m，i is the temperature change rate of the brake pad at time i, T m，i is the temperature of the brake pad at time i, T m，k is the temperature of the brake pad at time k.

[0014] Further, determine the first correlation feature according to the temperature change rate, including:

[0015]

[0016] where N i is the first correlation feature between the brake disc and the brake pad at time i.

[0017] Further, the method further includes:

[0018] When the prediction result of the high-speed shaft brake over-temperature protection neural network is that the high-speed shaft brake is overheated during operation, detect the temperature of the brake disc and the temperature of the brake pad at this moment;

[0019] Judge the relationship between the temperature of the brake disc at this moment and the first preset temperature threshold;

[0020] If the temperature of the brake disc at this moment is less than or equal to the first preset temperature threshold, control the high-speed shaft to reduce to the first speed; otherwise, judge the relationship between the temperature of the brake pad at this moment and the second preset temperature threshold;

[0021] If the temperature of the brake pad at this moment is greater than the second preset temperature threshold, immediately stop the machine; otherwise, control the high-speed shaft to reduce to the second speed, where the first speed is greater than the second speed.

[0022] Further, the relationship between the first speed and the second speed includes:

[0023] D2 = ε·D1

[0024] where D2 is the second speed, D1 is the first speed, ε is the historical experience coefficient, and 0 < ε < 1.

[0025] Further, it further includes:

[0026] When the temperature of the brake pads at this moment is greater than the second preset temperature threshold, determine the relationship between the first associated feature at this moment and the third threshold;

[0027] If the first associated feature at this moment is less than or equal to the third threshold, send an alarm message to the client;

[0028] If the first associated feature at this moment is greater than the third threshold, emit an alarm sound and light signal and send an alarm message to the client.

[0029] Further, based on the historical temperature data, several first associated features, and the historical operating state of the high-speed shaft brake, train the neural network to be trained, including:

[0030] Bind the historical temperature data at each moment, the first associated feature at each moment, and the historical operating state of the high-speed shaft brake at each moment into a data group, and obtain several data groups in total;

[0031] Input the data group into the neural network to be trained, and compare the predicted operating state at each moment with the historical operating state at that moment;

[0032] Update the neural network parameters of the neural network to be trained according to the comparison result.

[0033] In a second aspect, the present invention provides an over-temperature protection device for a high-speed shaft brake of a wind turbine, and the device includes:

[0034] An acquisition module for acquiring historical temperature data of the high-speed shaft brake of the wind turbine, where the historical temperature data includes brake disc temperature data and brake pad temperature data;

[0035] A change rate module for processing the historical temperature data to obtain a temperature change rate, where the temperature change rate includes a brake disc temperature change rate and a brake pad temperature change rate;

[0036] A feature association module for determining a first associated feature according to the temperature change rate;

[0037] A training module for training the neural network to be trained based on the historical temperature data, several first associated features, and the historical operating state of the high-speed shaft brake, where the operating state of the high-speed shaft brake includes overheating operation and normal operation, and the neural network to be trained is used to predict the operating state of the high-speed shaft brake;

[0038] An operation result prediction module for using the neural network to be trained as an over-temperature protection neural network for the high-speed shaft brake when the preset training requirements are met.

[0039] In a third aspect, the present invention provides an electronic device, including:

[0040] A processor;

[0041] A memory for storing processor-executable instructions;

[0042] Wherein, the processor is configured to execute to implement a high-speed shaft brake over-temperature protection method for a wind turbine provided as in the first aspect.

[0043] In a fourth aspect, the present invention provides a non-transitory computer-readable storage medium. When the instructions in the storage medium are executed by a processor of an electronic device, the electronic device can execute to implement a high-speed shaft brake over-temperature protection method for a wind turbine provided as in the first aspect.

[0044] One or more technical solutions provided in the present invention have at least the following technical effects or advantages:

[0045] Through the high-speed shaft brake over-temperature protection neural network, the present invention can predict the operating state of the high-speed shaft brake.

[0046] The present invention uses the first correlation feature to illustrate whether the thermal behaviors of the brake disc and the brake pads are consistent within the same time period and the degree of thermal influence between them. By correlating the first correlation feature with the probability of a fire occurring, the safety of the high-speed shaft brake can be improved.

[0047] The present invention can classify the probability of a fire occurring through the first preset temperature threshold, the second preset temperature threshold, and the third threshold, and can achieve hierarchical protection of the high-speed shaft brake system through the first rotational speed, the second rotational speed, and shutdown. While improving the safety of the high-speed shaft brake system, the probability of losses caused by directly shutting down due to a possible fire is reduced. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] To more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0049] Figure 1 It is a schematic flowchart of a high-speed shaft brake over-temperature protection method for a wind turbine provided by the present invention;

[0050] Figure 2 It is a schematic flowchart of an over-temperature protection method provided by the present invention;

[0051] Figure 3 It is a schematic structural diagram of a high-speed shaft brake over-temperature protection device for a wind turbine provided by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0052] In an embodiment of the present invention, a method for over-temperature protection of a high-speed shaft brake of a wind turbine is provided, which solves the technical problem in the prior art of how to accurately determine whether the operation of the high-speed shaft brake system is overheated.

[0053] The technical solution of the present invention for solving the above technical problem is generally as follows:

[0054] A method for over-temperature protection of a high-speed shaft brake of a wind turbine, the method comprising: obtaining historical temperature data of the high-speed shaft brake of the wind turbine, wherein the historical temperature data includes brake disc temperature data and brake pad temperature data; processing the historical temperature data to obtain a temperature change rate, wherein the temperature change rate includes a brake disc temperature change rate and a brake pad temperature change rate; determining a first correlation feature according to the temperature change rate; training a neural network to be trained based on the historical temperature data, a plurality of first correlation features, and the historical operating state of the high-speed shaft brake, wherein the operating state of the high-speed shaft brake includes overheated operation and normal operation, and the neural network to be trained is used to predict the operating state of the high-speed shaft brake; when a preset training requirement is met, using the neural network to be trained as a high-speed shaft brake over-temperature protection neural network.

[0055] To better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings of the specification and specific embodiments.

[0056] First, it should be noted that the term "and / or" appearing in this article is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B may represent: A exists alone, A and B exist simultaneously, and B exists alone. In addition, the character " / " in this article generally represents an "or" relationship between the associated objects before and after.

[0057] A wind turbine generally refers to a wind power generation unit, which is a device that converts wind energy into electrical energy. A complete wind power generation unit mainly includes: a wind rotor (Rotor), a main shaft (Main shaft), a gearbox (Gearbox), a generator (Generator), a tower (Tower), and a high-speed shaft brake system, etc.

[0058] With the aging of the components of the high-speed shaft brake system in old wind turbines, the high-speed shaft brake calipers sometimes get stuck, and the brake pads cannot return to their original positions and slightly contact the high-speed shaft brake disc, causing intense friction and heat generation between the high-speed shaft brake disc and the brake pads as the high-speed shaft rotates, becoming a very dangerous hidden point for cabin fires.

[0059] The brake is divided into an active side (close to the generator) and a passive side (close to the gearbox). During braking, the active side first contacts the brake disc. Driven by the active side, the passive side slides on the guide column and contacts the other side of the brake disc to achieve braking of the high-speed shaft. During the brake release process, the active side relieves pressure and the oil cylinder retracts. Under the action of the spring force, the passive side is released. After the passive side reaches its position, as the oil cylinder retracts, the active side is released.

[0060] When there is abnormal friction between the brake pads and the brake disc of the wind turbine's brake, a large amount of heat will be generated. According to the principle of the high-speed shaft brake, there is friction on both the active side and the passive side brake pads of the brake. Relatively speaking, a large amount of heat will also be generated on the brake disc due to the friction of the brake pads.

[0061] The present invention provides a Figure 1 method for over-temperature protection of the high-speed shaft brake of a wind turbine as shown in

[0062] Step S11: Obtain the historical temperature data of the high-speed shaft brake of the wind turbine. Among them, the historical temperature data includes the brake disc temperature data and the brake pad temperature data.

[0063] The high-speed shaft brake is an important component in a wind turbine and is usually used to quickly brake the high-speed rotation of the wind wheel during shutdown or emergency situations. The main functions of the high-speed shaft brake include: providing auxiliary braking during normal shutdown of the unit; quickly decelerating or stopping the wind wheel in case of emergency (such as overspeed or grid failure); cooperating with devices such as mechanical locks for maintenance operations, etc.

[0064] The historical temperature data refers to the temperature information of the brake system during a past historical period. The brake disc temperature data reflects the temperature change of the brake disc surface. (The brake disc is the part that directly contacts the brake pads, and its temperature can reflect the heat accumulation generated by friction during braking)

[0065] The brake pad temperature data reflects the temperature change of the brake pads themselves. (The brake pads are the components that achieve braking through friction)

[0066] Temperature sensors can be installed near the brake disc and brake pads to monitor the temperature change in real time and transmit the data to the control system.

[0067] For example: A set of temperature control switches can be installed at the positions of the brake pads on both sides of the brake. One end of the temperature control switch is supplied with 24V power, and the other end feedback wire is connected to the DI point of the cabin cabinet module. When the internal connection of the temperature control switch is disconnected, the PLC detects the signal and shuts down the unit, reporting a shutdown due to brake wear.

[0068] Step S12: Process the historical temperature data to obtain the temperature change rate. Among them, the temperature change rate includes the brake disc temperature change rate and the brake pad temperature change rate.

[0069] Specifically, it includes:

[0070]

[0071] Among them, B p，i is the temperature change rate of the brake disc at time i, T p，i is the temperature of the brake disc at time i, T p，k is the temperature of the brake disc at time k, and i - k is the time difference between time i and time k. B m，i is the temperature change rate of the brake pad at time i, T m，i is the temperature of the brake pad at time i, T m，k is the temperature of the brake pad at time k.

[0072] The brake disc temperature change rate index reflects the speed at which the temperature of the brake disc rises or falls during use. Rapid heating and cooling may indicate frequent braking operations, high braking intensity, or poor heat dissipation conditions. Prolonged high temperatures or rapid temperature fluctuations may lead to material fatigue and increased thermal stress, thereby affecting the service life and safety of the brake disc.

[0073] The brake pad temperature change rate reflects the rate of increase or decrease in the temperature of the brake pad during operation. The brake pad is directly involved in the friction process with the brake disc. The brake pad temperature change rate can be used to evaluate the magnitude and distribution of the heat generated by friction. A higher temperature change rate may mean that the brake pad is under greater pressure and wear risk.

[0074] Step S13, determine the first associated feature according to the temperature change rate.

[0075] Specifically, it includes:

[0076]

[0077] Among them, N i is the first associated feature of the brake disc and the brake pad at time i.

[0078] The first associated feature in the present invention is used to measure the temperature change relationship between the brake disc and the brake pad. The first associated feature reflects the relative change situation between the two by comparing the temperature change rates of the brake disc and the brake pad.

[0079] Specifically, the first associated feature can illustrate whether the thermal behaviors of the brake disc and the brake pad are consistent within the same time period, as well as the degree of thermal influence between them; if the value of the first associated feature is large, it indicates that there are significant differences or mismatches in the temperature changes between the brake disc and the brake pad; conversely, a smaller first associated feature means that the temperature changes between the two are more consistent.

[0080] Whether the temperature changes of the brake disc and brake pads are consistent reflects the thermal behavior during operation and the state of interaction. If the temperature changes of the two are inconsistent or consistent, it means that the heat transfer efficiency is good, and the heat generated by the friction between the brake disc and brake pads can be evenly distributed, without obvious local overheating or heat loss; the material properties (such as thermal conductivity, coefficient of thermal expansion, etc.) of the brake disc and brake pads are well matched, and they can maintain synchronous temperature rise or fall during friction.

[0081] When the temperature change rates of the brake disc and brake pads are inconsistent, it indicates that there are differences in their thermal behaviors; it means that there may be problems with the heat transfer between the brake disc and brake pads, resulting in uneven heat distribution (for example, there may be oil stains, dust or other pollutants on the contact surface, affecting the friction effect); the brake pads may have been over-worn, or their material properties have changed (such as a decrease in thermal conductivity), resulting in asynchronous temperature rise with the brake disc; it is also possible that the braking system is frequently used or subjected to excessive load, resulting in asynchronous temperature changes of the brake disc and brake pads. (For example, the brake disc may heat up more slowly due to its larger mass, while the brake pads may heat up quickly due to their smaller mass and higher friction intensity)

[0082] If the first associated feature is too large, it may lead to an aggravated fire in case of overheating.

[0083] Step S14: Based on the historical temperature data, several first associated features, and the historical operating states of the high-speed shaft brake, train the neural network to be trained, where the operating states of the high-speed shaft brake include overheating operation and normal operation, and the neural network to be trained is used to predict the operating states of the high-speed shaft brake.

[0084] Specifically, it includes:

[0085] Bind the historical temperature data at each moment, the first associated feature at each moment, and the historical operating state of the high-speed shaft brake at each moment into a data group, and obtain several data groups in total; input the data group into the neural network to be trained, and compare the predicted operating state at each moment with the historical operating state at that moment; update the neural network parameters of the neural network to be trained according to the comparison results.

[0086] The historical temperature data at each moment includes the brake disc temperature data and the brake pad temperature data at that moment.

[0087] The neural network parameters may include: weights, biases, activation function parameters, layer parameters, and other structural parameters, etc.

[0088] Step S15: When the preset training requirements are met, use the neural network to be trained as the high-speed shaft brake over-temperature protection neural network.

[0089] Such asFigure 2 As shown Figure 2 is a schematic flow chart of an over-temperature protection method provided by the present invention. The over-temperature protection method specifically includes:

[0090] When the prediction result of the high-speed shaft brake over-temperature protection neural network is that the high-speed shaft brake is overheated, detect the temperature of the brake disc and the temperature of the brake pads at this moment;

[0091] Judge the relationship between the temperature of the brake disc at this moment and the first preset temperature threshold;

[0092] If the temperature of the brake disc at this moment is less than or equal to the first preset temperature threshold, control the high-speed shaft to reduce to the first speed; otherwise, judge the relationship between the temperature of the brake pads at this moment and the second preset temperature threshold;

[0093] If the temperature of the brake pads at this moment is greater than the second preset temperature threshold, stop the machine immediately; otherwise, control the high-speed shaft to reduce to the second speed, where the first speed is greater than the second speed.

[0094] When the prediction result of the high-speed shaft brake over-temperature protection neural network is that the high-speed shaft brake is overheated, it indicates that a fire may occur in the high-speed shaft brake system. In order to further and more accurately and rigorously protect the high-speed shaft brake system, the temperature of the brake disc and the temperature of the brake pads at this moment can be obtained.

[0095] The first preset temperature threshold and the second preset temperature threshold can be determined according to the work experience of the staff, and there is no limitation here.

[0096] If the temperature of the brake disc at this moment is less than or equal to the first preset temperature threshold, it means that although the prediction result of the high-speed shaft brake over-temperature protection neural network is that the high-speed shaft brake is overheated, the probability of a fire occurring is not high. The speed can be reduced to reduce friction, reduce the heat generated by rotation and the heat generated by friction, so as to achieve the purpose of protection.

[0097] If the temperature of the brake disc at this moment is less than or equal to the first preset temperature threshold, and if the temperature of the brake pads at this moment is less than or equal to the second preset temperature threshold, it means that the risk of a disaster is medium, and the speed can be further reduced.

[0098] The relationship between the first speed and the second speed includes:

[0099] D2 = ε·D1

[0100] Where D2 is the second speed, D1 is the first speed, ε is the historical experience coefficient, and 0 < ε < 1.

[0101] It further includes: when the temperature of the brake pads at this moment is greater than the second preset temperature threshold, determining the relationship between the first associated feature at this moment and the third threshold; if the first associated feature at this moment is less than or equal to the third threshold, sending an alarm message to the client; if the first associated feature at this moment is greater than the third threshold, emitting an alarm sound and light signal and sending an alarm message to the client.

[0102] When the temperature of the brake pads at this moment is greater than the second preset temperature threshold and the temperature of the brake disc at this moment is greater than the first preset temperature threshold, it indicates a high risk of fire. If the first associated feature is greater than the third threshold at this time, the probability may be further increased.

[0103] In summary, the present invention provides a method for over-temperature protection of the high-speed shaft brake of a wind turbine. The method includes: obtaining historical temperature data of the high-speed shaft brake of the wind turbine, where the historical temperature data includes brake disc temperature data and brake pad temperature data; processing the historical temperature data to obtain a temperature change rate, where the temperature change rate includes a brake disc temperature change rate and a brake pad temperature change rate; determining a first associated feature according to the temperature change rate; training a neural network to be trained based on the historical temperature data, several first associated features, and the historical operating state of the high-speed shaft brake, where the operating state of the high-speed shaft brake includes overheat operation and normal operation, and the neural network to be trained is used to predict the operating state of the high-speed shaft brake; when meeting the preset training requirements, using the neural network to be trained as the over-temperature protection neural network of the high-speed shaft brake. The present invention can illustrate whether the thermal behaviors of the brake disc and the brake pads are consistent within the same time period and the degree of thermal influence between them through the first associated feature. By associating the first associated feature with the probability of a fire occurring, the safety of the high-speed shaft brake can be improved. The present invention can classify the probability of a fire occurring through the first preset temperature threshold, the second preset temperature threshold, and the third threshold, and can achieve hierarchical protection of the high-speed shaft brake system through the first rotational speed, the second rotational speed, and shutdown. While improving the safety of the high-speed shaft brake system, the probability of losses caused by directly shutting down due to a possible fire is reduced.

[0104] Based on the same inventive concept, the present invention provides a Figure 3 wind turbine high-speed shaft brake over-temperature protection device as shown in

[0105] An acquisition module 31, configured to acquire historical temperature data of the high-speed shaft brake of the wind turbine, where the historical temperature data includes brake disc temperature data and brake pad temperature data;

[0106] A change rate module 32, configured to process the historical temperature data to obtain a temperature change rate, where the temperature change rate includes a brake disc temperature change rate and a brake pad temperature change rate;

[0107] A feature association module 33, configured to determine a first associated feature according to the temperature change rate;

[0108] A training module 34, configured to train a neural network to be trained based on historical temperature data, a number of first associated features, and the historical operating state of the high-speed shaft brake, wherein the operating state of the high-speed shaft brake includes overheating operation and normal operation, and the neural network to be trained is used to predict the operating state of the high-speed shaft brake;

[0109] An operation result prediction module 35, configured to use the neural network to be trained as a high-speed shaft brake over-temperature protection neural network when a preset training requirement is met.

[0110] Based on the same inventive concept, the present invention further provides an electronic device, including:

[0111] A processor;

[0112] A memory for storing instructions executable by the processor;

[0113] Wherein, the processor is configured to execute to implement a method for over-temperature protection of a high-speed shaft brake of a wind turbine as provided above.

[0114] Based on the same inventive concept, the present invention further provides a non-transitory computer-readable storage medium, when the instructions in the storage medium are executed by the processor of the electronic device, enabling the electronic device to execute and implement a method for over-temperature protection of a high-speed shaft brake of a wind turbine as provided above.

[0115] Since the electronic device introduced in this embodiment is the electronic device used to implement the information processing method in the embodiment of the present invention, based on the information processing method introduced in the embodiment of the present invention, those skilled in the art can understand the specific implementation manners and various variations of the electronic device in this embodiment, so the specific implementation of how this electronic device implements the method in the embodiment of the present invention will not be described in detail here. As long as the electronic device used by those skilled in the art to implement the information processing method in the embodiment of the present invention falls within the scope of protection of the present invention.

[0116] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0117] The present invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It should be understood that each flow and / or block in the flowchart illustrations and / or block diagrams, and combinations of flows and / or blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to the processors of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing device to produce a machine, such that the instructions executed by the processors of the computer or other programmable data processing device create means for implementing the functions specified in the flowchart flow or flows and / or block or blocks. Figure 1 in a flow or flows and / or block or blocks Figure 1 or blocks.

[0118] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means that implement the functions specified in the flowchart flow or flows and / or block or blocks. Figure 1 in a flow or flows and / or block or blocks Figure 1 or blocks.

[0119] These computer program instructions may also be loaded onto a computer or other programmable data processing device, such that a series of operational steps are performed on the computer or other programmable device to produce a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in the flowchart flow or flows and / or block or blocks. Figure 1 in a flow or flows and / or block or blocks Figure 1 or blocks.

[0120] Although the preferred embodiments of the present invention have been described, additional changes and modifications can be made by those skilled in the art once they learn of the basic inventive concept. Therefore, the appended claims are intended to be construed to include the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0121] It is obvious that those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A high-speed shaft brake over-temperature protection method for a wind turbine, characterized in that, The method includes: Obtaining historical temperature data of the high-speed shaft brake of a wind turbine, where the historical temperature data includes brake disc temperature data and brake pad temperature data; Processing the historical temperature data to obtain a temperature change rate, where the temperature change rate includes a brake disc temperature change rate and a brake pad temperature change rate; Determining a first correlation feature according to the temperature change rate; Training a neural network to be trained based on the historical temperature data, a number of first correlation features, and the historical operating state of the high-speed shaft brake, where the operating state of the high-speed shaft brake includes overheating operation and normal operation, and the neural network to be trained is used to predict the operating state of the high-speed shaft brake; When meeting the preset training requirements, taking the neural network to be trained as the high-speed shaft brake over-temperature protection neural network.

2. The high-speed shaft brake over-temperature protection method for a wind turbine unit according to claim 1, characterized in that, Processing the historical temperature data to obtain a temperature change rate, including: Among them, B p，i is the temperature change rate of the brake disc at the i-th moment, T p，i is the temperature of the brake disc at the i-th moment, T p，k is the temperature of the brake disc at the k-th moment, i - k is the time difference between the i-th moment and the k-th moment, B m，i is the temperature change rate of the brake pad at the i-th moment, T m，i is the temperature of the brake pad at the i-th moment, T m，k is the temperature of the brake pad at the k-th moment.

3. The high-speed shaft brake over-temperature protection method for a wind turbine unit according to claim 2, characterized in that, Determining a first correlation feature according to the temperature change rate, including: Among them, N i is the first associated feature of the brake disc and the brake pad at the i-th moment.

4. The over-temperature protection method for the high-speed shaft brake of a wind turbine unit according to claim 1, wherein, The method further includes: When the prediction result of the high-speed shaft brake over-temperature protection neural network is that the high-speed shaft brake is in overheating operation, detecting the temperature of the brake disc and the temperature of the brake pads at this moment; Judging the relationship between the temperature of the brake disc at this moment and a first preset temperature threshold; If the temperature of the brake disc at this moment is less than or equal to the first preset temperature threshold, controlling the high-speed shaft to decrease to a first rotational speed; otherwise, judging the relationship between the temperature of the brake pads at this moment and a second preset temperature threshold; If the temperature of the brake pads at this moment is greater than the second preset temperature threshold, immediately shutting down the machine; otherwise, controlling the high-speed shaft to decrease to a second rotational speed, where the first rotational speed is greater than the second rotational speed.

5. The high-speed shaft brake over-temperature protection method for a wind turbine unit according to claim 4, characterized in that, The relationship between the first rotational speed and the second rotational speed, including: D2 = ε·D1 where D2 is the second rotational speed, D1 is the first rotational speed, ε is a historical experience coefficient, and 0 < ε < 1.

6. A high-speed shaft brake over-temperature protection method for a wind turbine unit according to claim 4, characterized in that, It further includes: When the temperature of the brake pads at this moment is greater than the second preset temperature threshold, judging the relationship between the first correlation feature at this moment and a third threshold; If the first correlation feature at this moment is less than or equal to the third threshold, sending an alarm message to the client; If the first correlation feature at this moment is greater than the third threshold, emitting an alarm sound and light signal and sending an alarm message to the client.

7. The high-speed shaft brake over-temperature protection method for a wind turbine unit according to claim 1, characterized in that, Training the neural network to be trained based on the historical temperature data, a number of first correlation features, and the historical operating state of the high-speed shaft brake, including: Binding the historical temperature data at each moment, the first correlation feature at each moment, and the historical operating state of the high-speed shaft brake at each moment into a data group, and obtaining a number of data groups in total; Inputting the data group into the neural network to be trained, and comparing the predicted operating state at each moment with the historical operating state at this moment; Updating the neural network parameters of the neural network to be trained according to the comparison result.

8. An over-temperature protection device for the high-speed shaft brake of a wind turbine, characterized in that, The device includes: An acquisition module for acquiring historical temperature data of the high-speed shaft brake of a wind turbine, where the historical temperature data includes brake disc temperature data and brake pad temperature data; A change rate module for processing the historical temperature data to obtain a temperature change rate, where the temperature change rate includes a brake disc temperature change rate and a brake pad temperature change rate; A feature association module, configured to determine a first associated feature according to the temperature change rate; A training module, configured to train a neural network to be trained based on the historical temperature data, a plurality of first associated features, and the historical operating state of the high-speed shaft brake, wherein the operating state of the high-speed shaft brake includes overheating operation and normal operation, and the neural network to be trained is used to predict the operating state of the high-speed shaft brake; An operating result prediction module, configured to use the neural network to be trained as a high-speed shaft brake over-temperature protection neural network when a preset training requirement is met.

9. An electronic device, characterized in that, Comprising: A processor; A memory for storing executable instructions of the processor; Wherein, the processor is configured to execute to implement a method for over-temperature protection of a high-speed shaft brake of a wind turbine as described in any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium, characterized in that, When the instructions in the storage medium are executed by the processor of the electronic device, the electronic device is enabled to execute and implement a method for over-temperature protection of a high-speed shaft brake of a wind turbine as described in any one of claims 1 to 7.

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