Overspeed detection method and system in a safety chain system for wind turbines

Abstract

This invention discloses a method and system for detecting overspeed in a safety chain system for a wind turbine. [Solution] This method includes the following steps: Synchronous sampling of the encoder and output signal is performed, fused combined information is calculated, and this information is preprocessed. A pulse signal is received from the encoder to calculate the average speed, and a dynamic threshold is obtained by combining the average speed and the standard deviation of the speed. The actual speed and the dynamic threshold are compared, and operating status information of the wind turbine is obtained based on the results. Based on the technical principles of incremental photoelectric encoders and inductive proximity switches, signal acquisition, data fusion, and fault detection technologies, this invention can solve the problem of mismatch between the low-speed and high-speed speed signals of wind turbines and improve the accuracy and interference tolerance of signal processing through the design of a module for synchronous acquisition and data fusion of multiple signals.

Description

[Technical Field]

[0001] The present invention relates to the field of speed detection technology, and more particularly to a method and system for detecting overspeed in a safety chain system for a wind turbine. [Background technology]

[0002] Speed ​​failures in wind turbines represent a significant potential risk in wind turbine operation, requiring independent speed measurements for both the low-speed (hub) and high-speed (generator) sides. The low-speed side is acquired by a slip-ring encoder, and the high-speed side is detected by a generator encoder. A PLC or converter acquires and compares these two signals in real time to ensure the synchronization and stability of wind turbine speeds. However, conventional detection methods lack accurate and reliable detection equipment for incremental and optical encoder signal monitoring, and optical encoder detection technology, in particular, is relatively fragile. When an encoder malfunctions or fails, conventional fault analysis is inefficient due to the lack of specialized detection equipment, resulting in an inability to accurately pinpoint the fault location. Inspection often involves replacing the encoder to eliminate the fault, increasing downtime and spare parts costs, severely impacting the wind turbine's power generation efficiency. Simultaneously, repaired encoders are not subjected to rigorous inspection, making it difficult to guarantee repair quality, leading to frequent replacements and repeated failures, hindering efficient management of inspection operations. [Overview of the Initiative] [Problems that the invention aims to solve]

[0003] Increased downtime and spare parts costs severely impact the power generation efficiency of wind turbines, making it impossible to guarantee the repair quality of encoders, leading to frequent replacements and recurring failures, and hindering the efficient management of inspection work. [Means for solving the problem]

[0004] Therefore, in order to solve the problems of overspeed detection and the system in the conventional safety chain system of wind turbines, the present invention is proposed.

[0005] To achieve the above object, the present invention adopts the following technical means. The present invention discloses a method for detecting overspeed in a safety chain system of a wind turbine, including the steps of synchronously sampling an encoder and an output signal, calculating integrated comprehensive information, and preprocessing the comprehensive information; calculating and obtaining an average speed by receiving a pulse signal from the encoder; combining the average speed with a speed standard deviation to obtain a dynamic threshold; and comparing an actual speed with the dynamic threshold and obtaining operation state information of wind power equipment based on a comparison result.

[0006] Preferably, the step of synchronously sampling the encoder and the output signal uses the number of output pulses N of an incremental type optical encoder, the trigger frequency f of an inductive proximity switch, and a sampling period T. The frequency f of the encoder signal within one sampling period of the system is obtained by the following calculation formula, and the trigger frequency f of the encoder signal and the trigger frequency f of the proximity switch signal are compared on the same time basis. P and the trigger frequency f of an inductive proximity switch, C and a sampling period T S as the system's frequency f of the encoder signal within one sampling period is obtained by the following calculation formula, P and is as follows:

Equation

[0007] Preferably, the step of calculating the comprehensive information includes dynamically adjusting the weights of different signal sources using an adaptive weighting algorithm to improve the stability and accuracy of signal fusion. Specifically, when the weight of the encoder signal is W and the weight of the proximity switch signal is W, the integrated signal S after fusion is obtained by the following calculation formula, P and the weight of the proximity switch signal is W C then the integrated signal S after fusion f is obtained by the following calculation formula:

Equation

[0008] Preferably, in the step of preprocessing the combined signal, a Kalman filter algorithm is combined to perform noise suppression and state estimation on the combined signal. Specifically, the filtered combined speed is [Number] , the predicted speed is [Number] If the filter gain is K, the calculation formula for the filtered speed is as follows [Number] including this.

[0009] Preferably, the calculation of the average speed is to calculate the instantaneous speed, and the specific calculation formula for the instantaneous speed is as follows [Number] Here, n(t) is the instantaneous speed, C P is the number of pulses received within the sampling time T C , M is the number of pulses per revolution of the encoder. After obtaining the instantaneous speed of the wind power equipment, the average speed is calculated, and the specific calculation formula is as follows [Number] Here, n avg is the average speed, P is the number of sampling times included when calculating the average value, and n(t i ) is the instantaneous speed at the i-th sampling.

[0010] Preferably, the method for obtaining the dynamic threshold includes adjusting the dynamic threshold by combining the average speed and the standard deviation of the speed of the wind turbine, and the specific calculation formula is as follows:

number

[0011] Preferably, after obtaining the dynamic threshold, the threshold is modified. The specific calculation formula for modification is as follows:

number

[0012] The present invention discloses an overspeed detection system for a safety chain system of a wind turbine, based on the overspeed detection method described above, comprising a signal sampling module, a signal processing module, a calculation module, and a control execution module, wherein the signal sampling module synchronously samples the output signals of an encoder and a proximity switch to ensure that all signals are acquired on the same time reference, the signal processing module performs data fusion of the encoder signal and the proximity switch signal and preprocesses the combined information after fusion, the calculation module calculates the average speed and dynamic threshold of the wind turbine to facilitate subsequent comparison, and the control execution module executes appropriate control commands based on the comparison results and issues an audible and optical alarm when overspeed is detected.

[0013] The present invention discloses a computer device comprising a memory and a processor, wherein the memory stores a computer-executable program, and the processor, upon execution of the computer-executable program, performs steps of an overspeed detection method for the safety chain system of the wind turbine.

[0014] The present invention discloses a storage medium in which a computer program is stored, wherein the overspeed detection method is realized when the computer program is executed by a processor. [Effects of the Invention]

[0015] The present invention offers the following beneficial effects. Based on the technical principles, signal acquisition, data fusion, and fault detection technologies of incremental (increasing-rate) photoelectric encoders and inductive proximity switches, the design of a multi-signal synchronous acquisition and data fusion module solves the problem of mismatch between low-speed and high-speed speed signals in wind turbines, improving the accuracy and interference resistance of signal processing. Furthermore, by combining real-time overspeed detection and dynamic threshold determination methods, the operating status of wind turbines can be accurately monitored and responded to quickly, effectively reducing the rate of false alarms and missed alarms. In addition, the design of fault alarms and remote feedback mechanisms enhances the safety and reliability of the system and ensures the real-time transmission and processing of fault information.

[0016] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings necessary for use in the embodiments are briefly introduced below, but it should be understood that the following drawings only show some embodiments of the present invention. Those skilled in the art can obtain other relevant drawings based on these drawings without any creative effort. [Brief explanation of the drawing]

[0017] [Figure 1] This is a flowchart illustrating the overspeed detection method in the safety chain system of a wind turbine. [Figure 2] This is a waveform diagram of the output signal of an incremental photoelectric encoder. [Figure 3] This is a schematic diagram of the first state of the display unit for the overspeed detection method in the safety chain system of a wind turbine. [Figure 4] This is a schematic diagram of the second state of the display unit for the overspeed detection method in the safety chain system of a wind turbine. [Figure 5] This is a schematic diagram of the third state of the display unit for the overspeed detection method in the safety chain system of a wind turbine. [Modes for carrying out the invention]

[0018] To further clarify the object, technical solution, and advantages of the embodiments of the present invention, the technical solution will be described clearly and completely below with reference to the drawings of the embodiments of the present invention. It is clear that the embodiments described herein are part of the present invention and do not encompass all embodiments. Typically, the components of the embodiments of the present invention described and illustrated herein can be arranged and designed in a variety of different configurations.

[0019] Therefore, the detailed description of embodiments of the present invention shown in the following drawings is not intended to limit the scope of the present invention protected by the claims, but merely to illustrate selected embodiments of the present invention. All other embodiments that can be obtained by a person of the ordinary skill of the art based on embodiments of the present invention without creative effort are included within the scope of the present invention.

[0020] In the following drawings, similar symbols and letters indicate similar items; therefore, once an item is defined in one drawing, it is not necessary to further define or explain that item in subsequent drawings.

[0021] In the description of embodiments of the present invention, when terms such as "up," "down," "horizontal," and "inside" indicate directional or positional relationships, they are based on the directional or positional relationships shown in the drawings or the directional or positional relationships typically used when the product of the present invention is in use, and are used solely for the purpose of describing and simplifying the present invention. They do not suggest or imply that the indicated device or element has a specific orientation, specific structure, or operation. Therefore, they should not be construed as limitations of the present invention. Similarly, terms such as "first," "second," etc., are used solely to distinguish between descriptions and do not suggest or imply relative importance.

[0022] Furthermore, when the term "horizontal" is used, it does not require that the part be absolutely horizontal, but may be slightly tilted. For example, "horizontal" simply means that its orientation is more horizontal than "vertical," and that the structure does not need to be perfectly horizontal, but may be slightly tilted.

[0023] In describing embodiments of the present invention, it should be further stated that, unless otherwise explicitly stated or limited, terms such as "installation," "attachment," "connection," and "connection" should be interpreted broadly. For example, a connection may be fixed, removable, or integral. A connection may be mechanical or electrical. A connection may be direct, indirectly through an intermediate mediator, or internally connected to the two elements. Those skilled in the art will understand what these terms specifically mean in the present invention, depending on the specific circumstances.

[0024] (Example 1) First, it's important to understand that, as shown in Figure 2, incremental photoelectric encoders typically output three signals: A-phase, B-phase, and Z-phase signals. The A-phase and B-phase signals are two orthogonal pulse signals with a 90-degree phase difference, providing high-resolution displacement information and allowing for determination of the direction of rotation. The Z-phase signal is the zero-position pulse, output once per revolution, and is used as a reference for accurate positioning and resetting. The frequency at which the number of A-phase and B-phase pulses changes within a unit time is proportional to the speed of the wind turbine, with higher frequencies indicating faster speeds. Combined with the Z-phase signal, this enables precise measurement of both speed and position.

[0025] To ensure accurate acquisition and processing of the aforementioned signals, the signal acquisition system must have a high degree of synchronization and precision to avoid data deviations caused by timing errors.

[0026] A first embodiment of the present invention will be described with reference to Figures 1 to 5. The overspeed detection method in the safety chain system of a wind turbine according to this embodiment includes the following steps.

[0027] Step S1: Synchronously sample the encoder and output signals, calculate the combined information, and preprocess that combined information.

[0028] The step of synchronously sampling the encoder and output signal includes the following steps:

[0029] The number of output pulses of an incremental photoelectric encoder is N P The trigger frequency of the inductive proximity switch is f C , the sampling period is T S Set as follows. At this time, the system sets the frequency f of the encoder signal within one sampling period. P It can be calculated using the following formula:

number

[0030] Encoder signal frequency f P and the trigger frequency f of the proximity switch signal C By comparing them using the same time standard, the consistency of timing across multiple signals and the real-time nature of the data are ensured.

[0031] To further improve data accuracy, multiple signals need to be fused. An adaptive weighting algorithm is used as the fusion strategy to dynamically adjust the weights of different signal sources, ensuring the stability and accuracy of signal fusion.

[0032] The aforementioned calculation step of the integrated information includes dynamically adjusting the weights of different signal sources using an adaptive weighting algorithm to improve the stability and accuracy of signal fusion.

[0033] Specifically, the weight of the encoder signal is W P Set the weight of the proximity switch signal to W C When set as such, the combined signal S after fusion will be f It can be calculated using the following formula:

number

[0034] In the formula, the weight W of the encoder signal P and the weight W of the proximity switch signal C The value is dynamically adjusted based on the signal-to-noise ratio (SNR) of each signal source, and a feedback mechanism is used to optimize the fusion effect.

[0035] To ensure real-time performance of data fusion, a Kalman filter algorithm is combined to perform noise suppression and state estimation on the fused signal.

[0036] Specifically, the overall speed after filtering is

number

number

number

[0037] This formula enables dynamic correction of fused data, reduces the impact of measurement noise on velocity estimation, and ensures the accuracy and stability of data fusion. Through the multi-signal synchronous acquisition and data fusion method described above, the wind turbine overspeed detection device can efficiently monitor the operating status of the wind turbine and provide a reliable data base for subsequent overspeed determination and fault alarms.

[0038] Step S2: The average speed is calculated and obtained by receiving pulse signals from the encoder.

[0039] The calculation of average speed involves the following steps:

[0040] First, we calculate the instantaneous velocity. The specific formula for calculating instantaneous velocity is as follows:

number

[0041] After obtaining the instantaneous speed of the wind turbine, the average speed is calculated. The specific calculation formula is as follows:

number

[0042] Step S3: Combine the average speed with the standard deviation of the speed to obtain a dynamic threshold.

[0043] The method for obtaining dynamic thresholds includes the following steps:

[0044] This involves adjusting the dynamic threshold by combining the average speed and standard deviation of the wind turbine's speed. The specific calculation formula is as follows:

number

[0045] After obtaining the dynamic threshold, we modify that threshold. The specific calculation formula for modification is as follows:

number

[0046] Step S4: Compare the actual speed with the dynamic threshold and obtain operating status information of the wind turbine based on the comparison results.

[0047] The wind turbine overspeed detection system, via an incremental photoelectric encoder and inductive proximity switch, detects when the speed exceeds a set threshold, and a high-speed signal processor immediately triggers alarm logic. A connected display unit updates in real time, showing relevant fault information such as overspeed fault information, current gear ratio, generator speed, and blade speed. This allows operators to intuitively understand the operating status of the equipment and quickly identify and address overspeed faults. When an overspeed fault is detected, the display unit issues an alarm to the field using audible and visual alarm modules, while simultaneously highlighting fault parameters on the screen. This allows operators to quickly identify the type and specific location of the fault.

[0048] As shown in Figures 3 to 5, the "Sync" and "Start" buttons on the interface are used to adjust the system's operating state. Meanwhile, the lower speed adjustment buttons ("+100", "+10", "-100", "-10") can be used by the operator to finely control the wind turbine's speed and quickly adjust it to a safe state. At the same time, the communication indicator lamps indicate a normal state, ensuring that fault alarm information is smoothly transmitted to the remote monitoring system.

[0049] The wind turbine overspeed detection device transmits detected overspeed fault information in real time to a remote monitoring center or SCADA system via a connected LoRa communication module. This function ensures that remote operators receive wind turbine fault data immediately and quickly understand the operating status. Industrial computers and SCADA systems deeply analyze the received fault information and create detailed fault reports while securely storing the data. This allows operators and maintenance teams to receive accurate data support. Through this remote feedback mechanism, the wind turbine overspeed detection device enables complete closed-loop management, from on-site fault detection and alarm display to remote feedback control.

[0050] As described above, by designing a synchronous acquisition and data fusion module for multiple signals based on the technical principles, signal acquisition, data fusion, and fault detection technologies of incremental photoelectric encoders and inductive proximity switches, it is possible to solve the problem of mismatch between the low-speed and high-speed speed signals of wind turbines and improve the accuracy and interference tolerance of signal processing. By combining real-time overspeed detection and dynamic threshold determination methods, the operating status of wind turbines can be accurately monitored and a rapid response can be enabled, effectively reducing the rate of false alarms and missed alarms. In addition, the design of fault alarms and remote feedback mechanisms enhances the safety and reliability of the system and ensures the real-time transmission and processing of fault information.

[0051] (Example 2) In addition to the first embodiment, this embodiment further discloses an overspeed detection system for a safety chain system of a wind turbine. This system includes a signal sampling module, a signal processing module, a calculation module, and a control execution module.

[0052] A signal sampling module is used to synchronously sample the output signals of encoders and proximity switches, ensuring that all signals are acquired on the same time reference.

[0053] The signal processing module is used to perform data fusion of encoder signals and proximity switch signals, and to preprocess the resulting combined information (comprehensive information).

[0054] The calculation module is used to calculate the average speed and dynamic threshold of wind turbines, and to facilitate subsequent comparisons.

[0055] The control execution module executes appropriate control commands based on the comparison results and issues audible and visual (audible and visual) alarms if overspeed is detected.

[0056] Furthermore, this embodiment discloses a computer device applicable to an overspeed detection method in a safety chain system for a wind turbine. This device includes memory and a processor. The memory is used to store a computer-executable program, and the processor executes the computer-executable program to implement the overspeed detection method for a safety chain system for a wind turbine described in this embodiment.

[0057] The computer device can be used as a terminal. The computer device includes a processor, memory, communication interface, display, and input devices connected via a system bus. The processor of the computer device is used to provide computing and control functions. The memory of the computer device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores the operating system and computer programs. The internal memory provides an environment for running the operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used to communicate with external terminals via wired or wireless means. Wireless communication is achieved via Wi-Fi, a carrier network, NFC (Near Field Communication), or other technologies. The display of the computer device may be a liquid crystal display or an e-paper display. The input devices of the computer device include a touch layer located on the display, buttons, a trackball, or a touchpad located on the chassis, or an externally connected keyboard, touchpad, or mouse.

[0058] Furthermore, this embodiment discloses a storage medium on which a computer program is stored. When the program is executed by a processor, an overspeed detection method for implementing the safety chain system for a wind turbine disclosed in the above-described embodiment is realized.

[0059] The storage medium disclosed in this embodiment belongs to the same inventive concept as the data storage method disclosed in the above-described embodiment. For technical details not described in detail in this embodiment, refer to the above-described embodiment, and this embodiment will have the same effects as the above-described embodiment.

[0060] (Example 3) In addition to the two embodiments described above, this embodiment further discloses a method for detecting overspeed in a safety chain system for a wind turbine. To verify the beneficial effects of the present invention, scientific demonstration is conducted through simulation experiments.

[0061] This experimental setup uses an incremental photoelectric encoder and an inductive proximity switch to collect multiple signals, and achieves high-precision detection by combining signal processing and overspeed detection algorithms. The specific parameters used in the experiment are as follows: [Table 1]

[0062] To fully verify the performance and adaptability of the wind turbine overspeed detection device, experiments were conducted under three typical operating conditions: high wind speed, rapid load change, and electromagnetic interference. The performance of the detection device under these different conditions was evaluated. The experimental procedure was as follows:

[0063] First, experimental preparations must be carried out to ensure that operating conditions such as wind speed, temperature, and wind power equipment load are consistent, and all detection devices must be calibrated to ensure the accuracy of the initial state and zero-point calibration of the devices and to avoid experimental errors. In particular, before the experiment, detection devices such as incremental photoelectric encoders and inductive proximity switches must be fully calibrated to ensure the accuracy of the initial state and reduce measurement errors due to device deviations.

[0064] The control group uses conventional detection methods, collecting speed signals from the wind turbine hub and generator using a mechanical speedometer and a magnetoelectric speed sensor, respectively. These signals are processed by a conventional PLC system after detection, and the operating status of the wind turbine is determined based on a fixed overspeed threshold.

[0065] The experimental group will use a detection device based on the present invention. An incremental photoelectric encoder and an inductive proximity switch will be used to collect synchronization signals from the low-speed and high-speed sides of the wind turbine. The collected signals will be analyzed in real time by a high-speed pulse processor, and a dynamic threshold algorithm will be used to accurately determine the speed of the wind turbine and detect whether or not an overspeed condition is present.

[0066] After the experiments of the two groups described above were completed, the experimental data of the control group and the experimental group were compared. In particular, the differences in detection accuracy, response speed, false positive rate, and interference tolerance were analyzed, and the average detection performance of both groups was statistically evaluated. It was verified that the experimental group demonstrated a technical advantage in improving detection accuracy, response speed, and interference tolerance. Furthermore, the improvement effects and optimization possibilities of the experimental group were summarized, providing guidance for further improvement of the device. [Table 2]

[0067] The results in Table 2 show that the experimental group demonstrated significantly superior overall performance compared to the control group under three operating conditions: electromagnetic interference, load fluctuations, and high wind speed.

[0068] The response times of the experimental groups were 3.09 seconds, 4.63 seconds, and 5.93 seconds, respectively, which are significantly shorter than those of the control group, confirming that the experimental groups exhibit a rapid response in overspeed detection. Regarding interference resistance, the experimental groups achieved high interference resistance of 96.41%, 96.84%, and 97.58% in each condition, significantly exceeding that of the control group. This demonstrates that the experimental groups can maintain high stability even in complex environments. The detection accuracy of the experimental groups was 97.31%, 96.35%, and 97.23%, significantly improving the ability to accurately identify overspeed conditions compared to the control group's 73.82%, 72.59%, and 68.18%. Regarding the misjudgment rate, the misjudgment rates of the experimental groups were very low at 0.58%, 1.09%, and 1.62%, respectively, a significant decrease compared to the control group's 12.86%, 16.76%, and 19.72%. This demonstrates that the experimental group can effectively suppress misjudgments and ensure the safe and reliable operation of wind turbines. These results confirm that the experimental group's device exhibits significant technological advantages in response speed, interference resistance, and detection accuracy, providing greater reliability and safety in overspeed detection.

[0069] The foregoing are merely preferred embodiments of the present invention and are not intended to limit the technical solutions of the present invention. Those skilled in the art can make simple modifications and substitutions to the technical solutions of the present invention without departing from the spirit and principles of the present invention, and such modifications and substitutions are within the scope of the protection covered by the claims of the present invention.

Claims

1. The steps include: synchronously sampling the encoder and output signals, calculating the fused combined information, and preprocessing the combined information; The steps include: receiving pulse signals from the encoder and calculating and obtaining the average speed; The steps include: obtaining a dynamic threshold by combining the aforementioned average speed with the speed standard deviation; An overspeed detection method in a safety chain system for a wind turbine, comprising the steps of: comparing the actual speed with the dynamic threshold and obtaining operating status information of the wind turbine based on the comparison result.

2. The step of synchronously sampling the encoder and the output signal involves the number of output pulses of the incremental photoelectric encoder being N Ｐ The trigger frequency of the inductive proximity switch is f Ｃ , the sampling period is T Ｓ The system determines the frequency f of the encoder signal within one sampling period. Ｐ It can be calculated using the following formula: [Math 1] The frequency f of the encoder signal Ｐ and the trigger frequency f of the proximity switch signal Ｃ An overspeed detection method in a safety chain system for a wind turbine according to claim 1, which compares the same time reference.

3. The aforementioned calculation step of the integrated information includes dynamically adjusting the weights of different signal sources using an adaptive weighting algorithm to improve the stability and accuracy of signal fusion. Specifically, let the weight of the encoder signal be W Ｐ and the weight of the proximity switch signal be W Ｃ Then, the integrated signal S ｆ after fusion is obtained by the following calculation formula: [Math 2] The weight W of the encoder signal Ｐ and the weight W of the proximity switch signal Ｃ The overspeed detection method in a safety chain system for a wind turbine according to claim 2, wherein the value of is dynamically adjusted based on the signal-to-noise ratio of each signal source.

4. The pre-processing step of the aforementioned integrated signal includes: By combining Kalman filter algorithms, noise suppression and state estimation are performed on the fused signal. Specifically, the overall speed after filtering is [Math 3] , predict speed [Math 4] If the filter gain is K, the formula for calculating the speed after filtering is as follows: [Math 5] An overspeed detection method in a safety chain system for a wind turbine according to claim 3, including the following:

5. The above calculation of average speed involves calculating the instantaneous speed, and the specific formula for calculating instantaneous speed is as follows: [Math 6] Here, n(t) is the instantaneous velocity, and C Ｐ The sampling time is T. Ｃ This is the number of pulses received internally, where M is the number of pulses per rotational speed of the encoder. After obtaining the instantaneous speed of the wind turbine, the average speed is calculated using the following specific formula: [Number 7] Here, n ａｖｇ is the average speed, P is the number of samples included when calculating the average value, and n(t ｉ The overspeed detection method in a safety chain system for a wind turbine according to claim 4, wherein ) is the instantaneous velocity at the i-th sampling.

6. The method for obtaining the dynamic threshold includes adjusting the dynamic threshold by combining the average speed and the standard deviation of the wind turbine, and the specific calculation formula is as follows: [Number 8] Here, G is the adjustment coefficient, σ(n) is the standard deviation of the instantaneous velocity, and represents the variability in the operation of the wind turbine, and Δn ｄｙｎ The overspeed detection method in a safety chain system for a wind turbine according to claim 5, wherein represents a dynamic threshold.

7. After obtaining the aforementioned dynamic threshold, the threshold is modified. The specific calculation formula for modification is as follows: [Number 9] Here, α and β are correction coefficients, and Δn′ ｄｙｎ The overspeed detection method in a safety chain system for a wind turbine according to claim 6, wherein is the modified dynamic threshold.

8. An overspeed detection system in a safety chain system for a wind turbine, based on the overspeed detection method described in any one of claims 1 to 7, comprising a signal sampling module, a signal processing module, a calculation module, and a control execution module, The signal sampling module synchronously samples the output signals of the encoder and proximity switch, ensuring that all signals are acquired on the same time reference. The signal processing module performs data fusion of the encoder signal and the proximity switch signal, and preprocesses the combined information after fusion. The calculation module calculates the average speed and dynamic threshold of the wind turbine, facilitating subsequent comparisons. The control execution module is characterized by executing an appropriate control command based on the comparison result and issuing an audible and luminous alarm when overspeed is detected, thereby providing an overspeed detection system for a wind turbine safety chain system.

9. It includes memory and a processor, the memory storing computer-executable programs, The processor is a computer device that, upon executing the computer-executable program, performs the steps of the overspeed detection method for a safety chain system of a wind turbine according to any one of claims 1 to 7.

10. A storage medium in which a computer program is stored, wherein when the computer program is executed by a processor, the overspeed detection method described in any one of claims 1 to 7 is realized.

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