An overspeed detection method and system for a wind turbine safety chain system

Abstract

The present invention discloses an overspeed detection method and system for a wind turbine safety chain system, relating to the field of speed detection technology. The method comprises the following steps: synchronously sampling an encoder and output signal, calculating fused comprehensive information, and preprocessing the comprehensive information; calculating the average speed by receiving a pulse signal output by the encoder; combining the average speed with the speed standard deviation to obtain a dynamic threshold; comparing the actual speed with the dynamic threshold value, and obtaining wind turbine motion state information based on the comparison result. The present invention is based on the technical principles, signal acquisition, data fusion, and fault detection technologies of incremental photoelectric encoders and inductive proximity switches. By designing a multi-signal synchronous acquisition and data fusion module, the method solves the problem of inconsistent speed signals between the low-speed and high-speed ends of the wind turbine, improving the accuracy of signal processing and anti-interference capabilities.

Description

Technical Field

[0001] The present invention relates to the technical field of speed detection, and in particular to an overspeed detection method and system for a wind turbine safety chain system. Background Art

[0002] Wind turbine speed failures are a significant hazard in wind turbine operation, requiring independent speed measurement at both the low-speed end (hub) and the high-speed end (generator). The low-speed end speed is measured by a slip ring encoder, while the high-speed end speed is detected by a generator encoder. A PLC or converter collects and compares these two signals in real time to ensure synchronous and stable wind turbine speeds. However, existing detection methods lack accurate and reliable equipment for incremental and optical encoder signal monitoring, and optical encoder detection technology is particularly weak. When an encoder malfunctions or fails, traditional troubleshooting is inefficient due to a lack of specialized testing equipment, resulting in inaccurate fault location. During maintenance, encoder replacement is often used for troubleshooting, increasing downtime and spare parts costs, severely impacting the wind turbine's power generation efficiency. Furthermore, repaired encoders lack rigorous warehousing inspection, making it impossible to guarantee their repair quality. This leads to frequent replacements and recurring failures, hindering lean management of maintenance work. Summary of the Invention

[0003] In view of the problems existing in the overspeed detection and system of the existing wind turbine safety chain system, the present invention is proposed.

[0004] Therefore, the problem to be solved by the present invention is.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions:

[0006] In a first aspect, an embodiment of the present invention provides an overspeed detection method for a wind turbine safety chain system, which comprises the following steps:

[0007] Synchronously sampling the encoder and the output signal, calculating the fused comprehensive information, and preprocessing the comprehensive information;

[0008] By receiving the pulse signal output by the encoder, the average speed is calculated;

[0009] The dynamic threshold is obtained by combining the average speed with the speed standard deviation;

[0010] The actual rotational speed is compared with the dynamic threshold value, and the fan motion state information is obtained according to the comparison result.

[0011] As a preferred solution of the overspeed detection method of the wind turbine safety chain system of the present invention, the step of synchronously sampling the encoder and the output signal includes:

[0012] Set the number of pulses output by the incremental photoelectric encoder to N p , the trigger frequency of the inductive proximity switch is f c , the sampling period is T s , then the encoder signal frequency f of the system in one sampling period is p The calculation formula is:

[0013]

[0014] The encoder signal frequency f p The trigger frequency f of the proximity switch signal c Compare using the same time base.

[0015] As a preferred solution of the overspeed detection method of the wind turbine safety chain system of the present invention, the step of calculating the comprehensive information includes:

[0016] Through the adaptive weighting algorithm, the weights of different signal sources are dynamically adjusted to ensure the stability and accuracy of signal fusion;

[0017] Specifically, the weight of the encoder signal is set to w p , the weight of the proximity switch signal is w c , then the integrated signal S after fusion f The calculation formula is:

[0018] S f =w p ·f p +w c ·f c ;

[0019] Where, the weight w of the encoder signal p and the weight w of the proximity switch signal c The value is dynamically adjusted according to the signal-to-noise ratio of the signal source.

[0020] As a preferred solution of the overspeed detection method of the wind turbine safety chain system of the present invention, the step of pre-processing the comprehensive information includes:

[0021] Combined with the Kalman filter algorithm, the fused signal is subjected to noise suppression and state estimation, specifically including:

[0022] Set the integrated speed after filtering to ω f , the predicted speed is The filter gain is K, and the speed calculation formula after filtering is:

[0023]

[0024] As a preferred solution of the overspeed detection method of the wind turbine safety chain system of the present invention, the step of calculating the average speed includes:

[0025] First, calculate the instantaneous speed. The specific calculation formula is expressed as:

[0026]

[0027] Where n(t) represents the instantaneous speed, C p Indicates the sampling time T c The number of pulses received in, M is the number of pulses / revolution of the encoder;

[0028] After obtaining the instantaneous speed of the fan, the average speed is calculated. The specific calculation formula is expressed as:

[0029]

[0030] Where n avg represents the average speed, P represents the number of samples included in the calculation of the average value, n(t i ) represents the instantaneous speed at the i-th sampling moment.

[0031] As a preferred solution of the overspeed detection method of the wind turbine safety chain system of the present invention, the method for obtaining the dynamic threshold value includes:

[0032] The dynamic threshold is adjusted by combining the average speed and the standard deviation of the fan speed. The specific calculation formula is expressed as:

[0033] Δn dyn =n avg +G×σ(n);

[0034] Where G is the adjustment coefficient, σ(n) is the standard deviation of the instantaneous speed, representing the volatility of the fan operation, and Δn dyn Expressed as a dynamic threshold.

[0035] As a preferred solution of the overspeed detection method of the wind turbine safety chain system of the present invention, after obtaining the dynamic threshold, the dynamic threshold is corrected, wherein the correction formula is expressed as:

[0036]

[0037] Where α and β are correction coefficients, Δn′ dyn Indicates the corrected dynamic threshold.

[0038] In a second aspect, an embodiment of the present invention provides an overspeed detection system for a wind turbine safety chain system, which includes a signal sampling module, a signal processing module, a calculation module, and a control execution module;

[0039] The signal sampling module is used to synchronously sample the output signals of the encoder and the proximity switch to ensure that all signals are collected under the same time reference;

[0040] The signal processing module is used to fuse the encoder signal and the proximity switch signal, and pre-process the fused comprehensive information;

[0041] The calculation module is used to calculate the average speed of the fan and the dynamic threshold value to facilitate subsequent comparison;

[0042] The control execution module executes corresponding control commands according to the comparison result and triggers an audible and visual alarm when overspeed is detected.

[0043] In a third aspect, an embodiment of the present invention provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: when the processor executes the computer program, it implements any step of the above-mentioned overspeed detection method of the wind turbine safety chain system.

[0044] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium having a computer program stored thereon, wherein: when the computer program is executed by a processor, any step of the above-mentioned overspeed detection method of the wind turbine safety chain system is implemented.

[0045] The beneficial effects of the present invention are: based on the technical principles, signal acquisition, data fusion and fault detection technology of incremental photoelectric encoders and inductive proximity switches; through the design of multi-signal synchronous acquisition and data fusion modules, the problem of inconsistent speed signals between the low-speed end and the high-speed end of the fan is solved, and the accuracy and anti-interference ability of signal processing are improved; combined with real-time overspeed detection and dynamic threshold judgment methods, accurate monitoring and rapid response to the operating status of the fan are achieved, and the false alarm and missed alarm rates are effectively reduced; the design of fault alarm and remote feedback mechanism enhances the safety and reliability of the system, and ensures the real-time transmission and processing of fault information. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort. Among them:

[0047] Figure 1 The figure is a flow chart of the overspeed detection method of the wind turbine safety chain system.

[0048] Figure 2This is the waveform of the output signal of the incremental photoelectric encoder.

[0049] Figure 3 This is a schematic diagram of the first state of the display unit of the overspeed detection method of the wind turbine safety chain system.

[0050] Figure 4 This is a schematic diagram of the second state of the display unit of the overspeed detection method of the wind turbine safety chain system.

[0051] Figure 5 This is a schematic diagram of the third state of the display unit of the overspeed detection method of the wind turbine safety chain system. DETAILED DESCRIPTION

[0052] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without creative work should fall within the scope of protection of the present invention.

[0053] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0054] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it constitute a separate or selective embodiment that is mutually exclusive with other embodiments.

[0055] The present invention is described in detail with reference to schematic diagrams. For ease of illustration, cross-sectional views of device structures may be partially enlarged and not to scale when describing embodiments of the present invention. Furthermore, the schematic diagrams are merely illustrative and should not limit the scope of the present invention. Furthermore, in actual production, the three-dimensional dimensions of length, width, and depth should be included.

[0056] In the description of the present invention, it should be noted that the terms "upper, lower, inner, and outer" and other references to orientations or positional relationships are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate and simplify the description of the present invention. They are not intended to indicate or imply that the devices or components referred to must have, be constructed, or operate in a specific orientation, and therefore should not be construed as limitations on the present invention. Furthermore, the terms "first, second, or third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0057] In this disclosure, unless otherwise specified or limited, the terms "mounted," "connected," and "connected" should be interpreted broadly. For example, they may refer to fixed, removable, or integral connections. They may also refer to mechanical, electrical, or direct connections, indirect connections through an intermediary, or internal communication between two components. Those skilled in the art will understand the specific meanings of these terms in this disclosure.

[0058] Example 1

[0059] The first thing you need to understand is: Figure 2 As shown, the incremental photoelectric encoder usually outputs three signals, namely A-phase, B-phase and Z-phase signals. Among them, A-phase and B-phase are two orthogonal pulse signals with a phase difference of 90 degrees. They can provide high-resolution displacement information and determine the direction of rotation. The Z-phase signal is a zero-position pulse, which is output once per revolution and is used for precise positioning and reset reference. The frequency of change of the number of pulses of phase A and phase B per unit time is proportional to the speed of the fan. The higher the frequency, the faster the speed. Combined with the Z-phase signal, accurate measurement of speed and position can be achieved.

[0060] To ensure accurate acquisition and processing of the above signals, the signal acquisition system must have a high degree of synchronization and accuracy to avoid data deviations caused by timing errors.

[0061] Reference Figures 1 to 5 , which is the first embodiment of the present invention, provides an overspeed detection method for a wind turbine safety chain system, comprising the following steps:

[0062] S1. Synchronously sample the encoder and output signals, calculate fused comprehensive information, and preprocess the comprehensive information.

[0063] The step of synchronously sampling the encoder and the output signal comprises:

[0064] Set the number of pulses output by the incremental photoelectric encoder to N p , the trigger frequency of the inductive proximity switch is f c , the sampling period is T s, then the encoder signal frequency f of the system in one sampling period is p The calculation formula is:

[0065]

[0066] The encoder signal frequency f p The trigger frequency f of the proximity switch signal c Compare signals under the same time base to ensure the timing consistency of multiple signals and the real-time nature of the data.

[0067] To further improve the accuracy of the data, multiple signals need to be fused. The fusion strategy uses an adaptive weighting algorithm to dynamically adjust the weights of different signal sources to ensure the stability and accuracy of signal fusion.

[0068] The step of calculating the comprehensive information includes:

[0069] Through the adaptive weighting algorithm, the weights of different signal sources are dynamically adjusted to ensure the stability and accuracy of signal fusion;

[0070] Specifically, the weight of the encoder signal is set to w p , the weight of the proximity switch signal is w c , then the integrated signal S after fusion f The calculation formula is:

[0071] S f =w p ·f p +w c ·f c ;

[0072] Where, the weight w of the encoder signal p and the weight w of the proximity switch signal c The value of is dynamically adjusted according to the signal-to-noise ratio of the signal source, and the feedback mechanism is used to optimize the fusion effect.

[0073] To ensure the real-time performance of data fusion, the Kalman filter algorithm is used to perform noise suppression and state estimation on the fused signal, including:

[0074] Set the integrated speed after filtering to ω f , the predicted speed is The filter gain is K, and the speed calculation formula after filtering is:

[0075]

[0076] This formula enables dynamic correction of fused data, reducing the impact of measurement noise on speed estimation and ensuring the accuracy and stability of data fusion. Through this method of synchronous multi-signal acquisition and data fusion, the fan overspeed detection device can achieve efficient monitoring of the fan's operating status, providing a reliable data foundation for subsequent overspeed determination and fault alarms.

[0077] S2. Calculate and obtain the average speed by receiving the pulse signal output by the encoder.

[0078] The step of calculating the average rotation speed includes:

[0079] First, calculate the instantaneous speed. The specific calculation formula is expressed as:

[0080]

[0081] Where n(t) represents the instantaneous speed, C p Indicates the sampling time T c The number of pulses received in the fan, M is the number of pulses per revolution of the encoder. This formula is used to obtain the instantaneous speed of the fan in real time, reflecting the instantaneous state of the fan during operation.

[0082] After obtaining the instantaneous speed of the fan, the average speed is calculated. The specific calculation formula is expressed as:

[0083]

[0084] Where n avg represents the average speed, P represents the number of samples included in the calculation of the average value, n(t i ) represents the instantaneous speed at the i-th sampling moment. This formula calculates the average value of multiple instantaneous speeds to obtain the average speed n of the fan in the current time window. avg , to reflect the overall operating status of the fan.

[0085] S3. Combine the average speed with the speed standard deviation to obtain a dynamic threshold.

[0086] The method for obtaining the dynamic threshold includes:

[0087] The dynamic threshold is adjusted by combining the average speed and the standard deviation of the fan speed. The specific calculation formula is expressed as:

[0088] Δn dyn =n avg +G×σ(n);

[0089] Where G is the adjustment coefficient, σ(n) is the standard deviation of the instantaneous speed, representing the volatility of the fan operation, and Δn dyn Expressed as a dynamic threshold.

[0090] After obtaining the dynamic threshold, the dynamic threshold is corrected, where the correction formula is expressed as:

[0091]

[0092] Where α and β are correction coefficients, which take into account the deviation and fluctuation between the real-time speed and the set value to achieve more accurate overspeed judgment, Δn′ dyn It represents the corrected dynamic threshold value. This correction formula enhances the adaptability of the device to actual working conditions and effectively reduces false alarms.

[0093] S4. Compare the actual rotation speed with the dynamic threshold value, and obtain the fan motion state information based on the comparison result.

[0094] When the fan overspeed detection device detects that the speed exceeds the set threshold through the incremental photoelectric encoder and inductive proximity switch, the high-speed signal processor will immediately trigger the alarm logic. The connected display unit will update and display the overspeed fault information, current gear ratio, generator speed, impeller speed and other related fault information in real time. This information provides operators with an intuitive equipment operating status, helping to quickly identify and handle overspeed faults. When an overspeed fault is detected, the display unit will immediately issue an on-site alarm with the help of the sound and light alarm module, and the fault parameter will be highlighted on the screen at the same time, which can help operators quickly identify the fault type and specific location;

[0095] like Figures 3-5 As shown, the "Sync" and "Start" buttons on the interface can be used to adjust the operating status of the system, while the speed adjustment buttons below ("+100", "+10", "-100", "-10") allow the operator to finely control the fan speed and quickly adjust the fan to a safe state. At the same time, the communication indicator shows the normal status, ensuring that the fault alarm information can be smoothly transmitted to the remote monitoring system;

[0096] With the help of the LoRa communication module connected to the fan overspeed detection device, the detected overspeed fault information will be transmitted to the remote monitoring center or SCADA system in real time. The above functions ensure that remote operators can obtain the fan fault data in the first time and quickly understand the fan operating status. After receiving this fault information, the industrial computer or SCADA system will conduct in-depth analysis and secure storage of the data, and generate detailed fault reports to provide accurate data support for operators and maintenance teams. Through this remote feedback mechanism, the fan overspeed detection device realizes complete closed-loop management from on-site fault detection, alarm display to remote feedback control.

[0097] In summary, based on the technical principles, signal acquisition, data fusion and fault detection technology of incremental photoelectric encoders and inductive proximity switches; through the design of multi-signal synchronous acquisition and data fusion modules, the problem of inconsistent speed signals between the low-speed and high-speed ends of the fan is solved, and the accuracy and anti-interference ability of signal processing are improved; combined with real-time overspeed detection and dynamic threshold judgment methods, accurate monitoring and rapid response to the operating status of the fan are achieved, effectively reducing the false alarm and missed alarm rates; the design of fault alarm and remote feedback mechanism enhances the safety and reliability of the system, and ensures the real-time transmission and processing of fault information.

[0098] Example 2

[0099] Based on the first embodiment, this embodiment further provides an overspeed detection system for a wind turbine safety chain system, comprising a signal sampling module, a signal processing module, a calculation module, and a control execution module;

[0100] The signal sampling module is used to synchronously sample the output signals of the encoder and the proximity switch to ensure that all signals are collected under the same time reference;

[0101] The signal processing module is used to fuse the encoder signal and the proximity switch signal, and pre-process the fused comprehensive information;

[0102] The calculation module is used to calculate the average speed of the fan and the dynamic threshold value to facilitate subsequent comparison;

[0103] The control execution module executes corresponding control commands according to the comparison result and triggers an audible and visual alarm when overspeed is detected.

[0104] This embodiment also provides a computer device, which is suitable for the overspeed detection method of the wind turbine safety chain system, including a memory and a processor; the memory is used to store computer-executable instructions, and the processor is used to execute computer-executable instructions to implement the overspeed detection method of the wind turbine safety chain system proposed in the above embodiment.

[0105] The computer device may be a terminal, comprising a processor, a memory, a communication interface, a display screen and an input device connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device comprises a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner may be achieved through WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device may be a liquid crystal display or an electronic ink display screen, and the input device of the computer device may be a touch layer covering the display screen, or a button, trackball or touchpad provided on the housing of the computer device, or an external keyboard, touchpad or mouse.

[0106] This embodiment further provides a storage medium storing a computer program, which, when executed by a processor, implements the overspeed detection method for a wind turbine safety chain system as proposed in the above embodiment.

[0107] The storage medium proposed in this embodiment and the data storage method proposed in the above embodiment belong to the same inventive concept. Technical details not fully described in this embodiment can be found in the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0108] Example 3

[0109] Based on the previous two embodiments, this embodiment provides an overspeed detection method for a wind turbine safety chain system. In order to verify the beneficial effects of the present invention, a scientific demonstration is conducted through simulation experiments.

[0110] The experimental device uses an incremental photoelectric encoder and an inductive proximity switch for multi-signal acquisition, and combines signal processing with an overspeed detection algorithm to achieve high-precision detection. The experimental parameters are as follows:

[0111] Table 1: Experimental parameters

[0112]

[0113]

[0114] To fully verify the performance and adaptability of the wind turbine overspeed detection device, three typical operating conditions were selected for testing: high wind speed conditions, sudden load changes, and electromagnetic interference conditions. This was done to evaluate the performance of the detection device under different conditions. The experimental steps are as follows:

[0115] First, prepare for the experiment to ensure that the operating conditions such as wind speed, temperature, and fan load are consistent, and calibrate all detection equipment to ensure the accuracy of the equipment's initial state and zero point calibration to avoid experimental errors. Before the experiment, it is necessary to fully calibrate the zero point of the incremental photoelectric encoder and inductive proximity switch and other detection equipment to ensure the accuracy of the initial state and reduce measurement errors caused by equipment deviation.

[0116] The control group adopted the traditional detection method, using a mechanical tachometer and a magnetoelectric speed sensor to collect the speed signals of the wind turbine hub and generator respectively. After detection, these signals were transmitted to a conventional PLC system for processing, and the operating status of the wind turbine was judged by a fixed overspeed threshold.

[0117] The experimental group used the detection device designed in this article to realize synchronous signal acquisition of the low-speed and high-speed ends of the fan through an incremental photoelectric encoder and an inductive proximity switch. The collected multiple signals were analyzed in real time by a high-speed pulse processor, and the dynamic threshold algorithm was combined to accurately judge the fan speed to detect whether there was an overspeed state.

[0118] After the two groups of experiments were completed, the experimental data of the control group and the experimental group were compared, and the differences between the two groups in detection accuracy, response speed, false positive rate and anti-interference ability were analyzed. The average detection performance of the two groups was calculated to verify the technical advantages of the experimental group in improving detection accuracy, response speed and anti-interference ability, and summarize the improvement effect and optimization potential of the experimental group to provide a basis for further optimization of the device.

[0119] Table 2: Experimental results

[0120]

[0121]

[0122] As shown in Table 2, the overall performance of the experimental group is significantly better than that of the control group under the three working conditions of electromagnetic interference, load mutation and high wind speed.

[0123] The response speeds of the experimental groups were 3.09s, 4.63s, and 5.93s, respectively, which were much lower than those of the control group, indicating that the experimental group had a faster overspeed detection response. In terms of anti-interference ability, the experimental group achieved 96.41%, 96.84%, and 97.58% under various working conditions, significantly ahead of the control group, demonstrating the experimental group's ability to maintain high stability in complex environments. The detection accuracy of the experimental group was 97.31%, 96.35%, and 97.23%, respectively, compared with 73.82%, 72.59%, and 68.18% of the control group, significantly improving the ability to accurately identify overspeed conditions. In terms of misjudgment rate, the experimental group was significantly lower, at 0.58%, 1.09%, and 1.62%, respectively, while the control group was as high as 12.86%, 16.76%, and 19.72%, indicating that the experimental group can effectively reduce misjudgments and ensure the safe and reliable operation of the wind turbine.

[0124] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for detecting overspeed in a wind turbine safety chain system, characterized by: The following steps are included: Synchronously sampling the encoder and the output signal, calculating the fused comprehensive information, and preprocessing the comprehensive information; By receiving the pulse signal output by the encoder, the average speed is calculated; The dynamic threshold is obtained by combining the average speed with the speed standard deviation; Compare the actual speed with the dynamic threshold value, and obtain the fan motion status information based on the comparison result; The step of synchronously sampling the encoder and the output signal comprises: Set the number of pulses output by the incremental photoelectric encoder to N p , the trigger frequency of the inductive proximity switch is f c , the sampling period is T s , then the encoder signal frequency f of the system in one sampling period is p The calculation formula is: The encoder signal frequency f p The trigger frequency f of the proximity switch signal c Compare under the same time base; The step of calculating the comprehensive information includes: Through the adaptive weighting algorithm, the weights of different signal sources are dynamically adjusted to ensure the stability and accuracy of signal fusion; Specifically, the weight of the encoder signal is set to w p , the weight of the proximity switch signal is w c , then the integrated signal S after fusion f The calculation formula is: S f =w p ·f p +w c ·f c ; Where, the weight w of the encoder signal p and the weight w of the proximity switch signal c The value of is dynamically adjusted according to the signal-to-noise ratio of the signal source; The method for obtaining the dynamic threshold includes: The dynamic threshold is adjusted by combining the average speed and the standard deviation of the fan speed. The specific calculation formula is expressed as: Δn dyn =n avg +G×σ(n); Where G is the adjustment coefficient, σ(n) is the standard deviation of the instantaneous speed, representing the volatility of the fan operation, and Δn dyn Expressed as a dynamic threshold; After obtaining the dynamic threshold, the dynamic threshold is corrected, where the correction formula is expressed as: Where α and β are correction coefficients, Δn′ dyn Indicates the corrected dynamic threshold.

2. The overspeed detection method for a wind turbine safety chain system according to claim 1, wherein: The step of preprocessing the comprehensive information includes: Combined with the Kalman filter algorithm, the fused signal is subjected to noise suppression and state estimation, specifically including: Set the integrated speed after filtering to ω f , the predicted speed is The filter gain is K, and the speed calculation formula after filtering is:

3. The overspeed detection method for a wind turbine safety chain system according to claim 2, wherein: The step of calculating the average rotation speed includes: First, calculate the instantaneous speed. The specific calculation formula is expressed as: Where n(t) represents the instantaneous speed, C p Indicates the sampling time T c The number of pulses received in, M is the number of pulses / revolution of the encoder; After obtaining the instantaneous speed of the fan, the average speed is calculated. The specific calculation formula is expressed as: Where n avg represents the average speed, P represents the number of samples included in the calculation of the average value, n(t i ) represents the instantaneous speed at the i-th sampling moment.

4. An overspeed detection system for a wind turbine safety chain system, based on the overspeed detection method for a wind turbine safety chain system according to any one of claims 1 to 3, characterized in that: It includes a signal sampling module, a signal processing module, a calculation module, and a control execution module; The signal sampling module is used to synchronously sample the output signals of the encoder and the proximity switch to ensure that all signals are collected under the same time reference; The signal processing module is used to fuse the encoder signal and the proximity switch signal, and pre-process the fused comprehensive information; The calculation module is used to calculate the average speed of the fan and the dynamic threshold value to facilitate subsequent comparison; The control execution module executes corresponding control commands according to the comparison result and triggers an audible and visual alarm when overspeed is detected.

5. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the overspeed detection method for the wind turbine safety chain system according to any one of claims 1 to 3 are implemented.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the overspeed detection method of the wind turbine safety chain system according to any one of claims 1 to 3 are implemented.

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