Overspeed detection method and system for wind turbine generator safety chain system

Abstract

An overspeed detection method and system for a wind turbine generator safety chain system, relating to the technical field of speed detection. The method comprises the following steps: synchronously sampling an encoder and an output signal, calculating integrated information obtained after fusion, and preprocessing the integrated information; by receiving a pulse signal outputted by the encoder, calculating an average rotating speed; combining the average rotating speed with a standard deviation of a rotating speed to obtain a dynamic threshold; and comparing an actual rotating speed with the dynamic threshold, and obtaining wind turbine motion state information on the basis of a comparison result. On the basis of the technical principle, signal collection, data fusion and fault detection technology of an incremental photoelectric encoder and an inductive proximity switch, and by means of design of a multi-signal synchronous collection and data fusion module, the present invention solves the problem of inconsistency between rotating speed signals at a low-speed end and a high-speed end of a wind turbine generator, thereby improving the signal processing accuracy and anti-interference capability.

Description

An overspeed detection method and system of a wind turbine generator safety chain system TECHNICAL FIELD

[0001] The present application relates to the technical field of speed detection, in particular to an overspeed detection method and system of a wind turbine generator safety chain system. BACKGROUND

[0002] Fan speed failure is a major hidden danger in the operation of a wind turbine generator, and independent speed measurement needs to be performed on the low-speed end (hub) and the high-speed end (generator). The low-speed end speed is collected by a slip ring encoder, and the high-speed end speed is detected by a generator encoder. A PLC or a converter collects and compares the two signals in real time to ensure the synchronicity and stability of the fan speed. However, the existing detection means lacks accurate and reliable detection equipment for monitoring the signals of incremental and optical encoders, especially the optical encoder detection technology is relatively weak. When the encoder is abnormal or fails, the traditional fault troubleshooting is inefficient due to the lack of professional detection instruments, resulting in inaccurate fault positioning. During the maintenance process, the encoder is often replaced for troubleshooting, which increases downtime and spare part costs and seriously affects the power generation efficiency of the fan. At the same time, the repaired encoder lacks strict warehouse detection, which cannot guarantee the repair quality, causing frequent replacement and repeated failure problems, hindering the lean management of maintenance work. TECHNICAL PROBLEM

[0003] The downtime and spare part costs are increased, the power generation efficiency of the fan is seriously affected, the repair quality of the encoder cannot be guaranteed, frequent replacement and repeated failure problems occur, and the lean management of maintenance work is hindered. TECHNICAL SOLUTION

[0004] In view of the problems existing in the overspeed detection and system of the existing wind turbine generator safety chain system, the present application is proposed.

[0005] Therefore, the problem to be solved by the present application is.

[0006] To solve the above technical problems, the present application provides the following technical solutions:

[0007] In a first aspect, the present application provides an overspeed detection method of a wind turbine generator safety chain system, comprising the following steps,

[0008] Synchronously sampling the encoder and the output signal, calculating the fused comprehensive information, and pre-processing the comprehensive information;

[0009] The average speed is calculated by receiving the pulse signal output by the encoder;

[0010] The average speed is combined with the speed standard deviation to obtain a dynamic threshold;

[0011] By comparing the actual rotational speed with the dynamic threshold value, the fan's motion status information is obtained based on the comparison result.

[0012] As a preferred embodiment of the overspeed detection method for the wind turbine safety chain system of the present invention, the step of synchronously sampling the encoder and the output signal includes,

[0013] Set the number of pulses output by the incremental photoelectric encoder to The trigger frequency of the inductive proximity switch is The sampling period is The encoder signal frequency of the system within one sampling period is... The calculation formula is:

[0014] ;

[0015] encoder signal frequency Trigger frequency of proximity switch signal Compare using the same time frame.

[0016] As a preferred embodiment of the overspeed detection method for the wind turbine safety chain system described in this invention, the calculation step of the comprehensive information includes:

[0017] An adaptive weighting algorithm is used to dynamically adjust the weights of different signal sources to improve the stability and accuracy of signal fusion.

[0018] Specifically, this includes setting the weights of the encoder signals as follows: The weight of the proximity switch signal is The fused integrated signal The calculation formula is:

[0019] ;

[0020] In the formula, the weights of the encoder signal Weighting of proximity switch signals The value is dynamically adjusted based on the signal-to-noise ratio of the signal source.

[0021] As a preferred embodiment of the overspeed detection method for the wind turbine safety chain system described in this invention, the step of preprocessing the comprehensive information includes:

[0022] The Kalman filter algorithm is used to perform noise suppression and state estimation on the fused signal, specifically including:

[0023] Set the combined speed after filtering to The predicted rotational speed is , the filter gain is K, then the filtered rotational speed calculation formula is:

[0024] 。

[0025] As a preferred scheme of the overspeed detection method of the wind turbine safety chain system, wherein: the step of calculating the average rotational speed comprises,

[0026] First, the instantaneous rotational speed is calculated, and the specific calculation formula is:

[0027] ;

[0028] In the formula, represents the instantaneous rotational speed, represents the sampling time received by the inner ring, is the number of pulses per revolution of the encoder;

[0029] After obtaining the instantaneous rotational speed of the wind turbine, the average rotational speed is calculated, and the specific calculation formula is:

[0030] ;

[0031] In the formula, represents the average rotational speed, represents the number of samples included when calculating the average value, represents the instantaneous rotational speed at the sampling time .

[0032] As a preferred scheme of the overspeed detection method of the wind turbine safety chain system, wherein: the method for obtaining the dynamic threshold value comprises,

[0033] The average rotational speed of the wind turbine and the rotational speed standard deviation are combined to adjust the dynamic threshold value, and the specific calculation formula is:

[0034] ;

[0035] In the formula, is the adjustment coefficient, is the standard deviation of the instantaneous rotational speed, representing the volatility of the wind turbine operation, represents the dynamic threshold value.

[0036] As a preferred scheme of the overspeed detection method of the wind turbine safety chain system, wherein: after obtaining the dynamic threshold value, the dynamic threshold value is corrected, and the correction formula is:

[0037] ;

[0038] wherein, and both represent correction coefficients, represents a corrected dynamic threshold.

[0039] In a second aspect, an embodiment of the present application provides a wind turbine safety chain system overspeed detection system, comprising a signal sampling module, a signal processing module, a calculation module, and a control execution module;

[0040] The signal sampling module is configured to synchronously sample output signals of the encoder and the proximity switch, so as to ensure that all signals are collected under the same time reference.

[0041] The signal processing module is configured to perform data fusion on the encoder signals and the proximity switch signals, and to pre-process the fused comprehensive information.

[0042] The calculation module is configured to calculate the average speed of the wind turbine and a dynamic threshold, so as to facilitate subsequent comparison.

[0043] The control execution module executes corresponding control commands according to the result after comparison, and triggers an audible and light alarm when overspeed is detected.

[0044] In a third aspect, an embodiment of the present application provides a computer device, comprising a memory and a processor, and the memory stores a computer program, wherein the processor implements any step of the wind turbine safety chain system overspeed detection method described above when executing the computer program.

[0045] In a fourth aspect, an embodiment of the present application provides a computer readable storage medium, which stores a computer program, wherein the computer program is executed by a processor to implement any step of the wind turbine safety chain system overspeed detection method described above. Advantages

[0046] Compared with the prior art, the present application has the following advantages:

[0047] Based on the technical principles, signal acquisition, data fusion, and fault detection technology of the incremental optical encoder and the inductive proximity switch, through the design of the multi-signal synchronous acquisition and data fusion module, the problem of inconsistent speed signals at the low-speed end and the high-speed end of the wind turbine is solved, and the precision and anti-interference ability of signal processing are improved. Combined with the real-time overspeed detection and dynamic threshold judgment method, accurate monitoring and rapid response of the wind turbine running state are realized, and the false positive and false negative rates are effectively reduced. The design of the fault alarm and remote feedback mechanism enhances the safety and reliability of the system, and ensures real-time transmission and processing of fault information. BRIEF DESCRIPTION OF DRAWINGS

[0048] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly introduced. Obviously, the drawings in the following description only represent some embodiments of the present application, and other drawings can be obtained by those skilled in the art without any creative effort. Among them:

[0049] Fig. 1 is a flow chart of the overspeed detection method of the wind turbine safety chain system.

[0050] Fig. 2 is a waveform diagram of the output signal of the incremental photoelectric encoder.

[0051] Fig. 3 is a first state diagram of the display unit of the overspeed detection method of the wind turbine safety chain system.

[0052] Fig. 4 is a second state diagram of the display unit of the overspeed detection method of the wind turbine safety chain system.

[0053] Fig. 5 is a third state diagram of the display unit of the overspeed detection method of the wind turbine safety chain system. Embodiments of the present application

[0054] In order to make the above-mentioned objects, features and advantages of the present application more apparent and easy to understand, the specific embodiments of the present application will be described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without any creative effort should fall within the scope of protection of the present application.

[0055] In the following description, many specific details are set forth in order to provide a thorough understanding of the present application. However, the present application can be practiced without the specific details, other than those described in the specification, and it is understood that the present application is not limited to the embodiments described herein. In some instances, well-known structures and functions have not been described in detail in order to avoid obscuring the application.

[0056] Secondly, the "one embodiment" or "embodiment" referred to herein can include specific features, structures or characteristics contained in at least one implementation of the present application. "In one embodiment" appearing in different places in the specification does not refer to the same embodiment, nor is it an embodiment that is separate or selectively excluded from other embodiments.

[0057] The present application is described in detail with reference to the accompanying drawings. In the detailed description of the embodiments of the present application, the cross-sectional view of the device structure is partially enlarged without the general proportion for the convenience of description, and the schematic diagram is only an example, which should not limit the scope of protection of the present application. In addition, the three-dimensional spatial dimensions of length, width and depth should be included in the actual manufacture.

[0058] Meanwhile, in the description of the present application, it should be noted that the terms "upper, lower, inner and outer" and the like indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application. In addition, the terms "first, second or third" are only for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0059] Unless otherwise expressly specified and limited in the present application, the terms "mounting, connection, connection" should be broadly understood, for example: it can be fixed connection, detachable connection or integral connection; It can also be mechanical connection, electrical connection or direct connection, it can also be indirectly connected through an intermediate medium, or it can be the communication between two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0060] Embodiment 1

[0061] First of all, it needs to be understood that: as shown in Figure 2, the incremental photoelectric encoder usually outputs three signals, A phase, B phase and Z phase signals, among which A phase and B phase are two orthogonal pulse signals with a phase difference of 90 degrees, which can provide high-resolution displacement information and determine the rotation direction, and the Z phase signal is a zero position pulse, which is output once per revolution, used for accurate positioning and reset reference. The change frequency of the pulse number of A phase and B phase in unit time is directly proportional to the speed of the fan, and the higher the frequency, the faster the speed, and the combination of the Z phase signal can realize accurate measurement of the speed and position.

[0062] In order to ensure accurate collection and processing of the above signals, the signal acquisition system must have high synchronization and precision to avoid data deviation caused by timing error.

[0063] Referring to Figures 1-5, the first embodiment of the present application provides a kind of overspeed detection method of wind turbine safety chain system, comprising the following steps,

[0064] S1, synchronously sample the encoder and output signal, calculate the integrated information after fusion, and pre-process the integrated information.

[0065] The step of synchronously sampling the encoder and output signal comprises,

[0066] The number of pulses output by the incremental photoelectric encoder is set to The trigger frequency of the inductive proximity switch is The sampling period is The encoder signal frequency of the system in a sampling period is The calculation formula is:

[0067] ;

[0068] encoder signal frequency Trigger frequency of proximity switch signal By comparing data under the same time base, the timing consistency of multiple signals and the real-time performance of the data are ensured.

[0069] To further improve the accuracy of the data, multiple signals need to be fused. The fusion strategy adopts an adaptive weighting algorithm to dynamically adjust the weights of different signal sources, ensuring the stability and accuracy of signal fusion.

[0070] The calculation steps for the comprehensive information include:

[0071] An adaptive weighting algorithm is used to dynamically adjust the weights of different signal sources to improve the stability and accuracy of signal fusion.

[0072] Specifically, this includes setting the weights of the encoder signals as follows: The weight of the proximity switch signal is The fused integrated signal The calculation formula is:

[0073] ;

[0074] In the formula, the weights of the encoder signal Weighting of proximity switch signals The value is dynamically adjusted based on the signal-to-noise ratio of the signal source, and the fusion effect is optimized using a feedback mechanism.

[0075] To ensure the real-time performance of data fusion, the Kalman filter algorithm is used to suppress noise and estimate the state of the fused signal, specifically including:

[0076] Set the combined speed after filtering to The predicted rotational speed is If the filter gain is K, then the formula for calculating the speed after filtering is:

[0077] ;

[0078] This formula enables dynamic correction of the fused data, reducing the impact of measurement noise on speed estimation and ensuring the accuracy and stability of data fusion. Through the aforementioned method of simultaneous multi-signal acquisition and data fusion, the wind turbine overspeed detection device can achieve efficient monitoring of the wind turbine's operating status, providing a reliable data foundation for subsequent overspeed judgment and fault alarm.

[0079] S2, calculate the average speed by receiving the pulse signal output by the encoder.

[0080] The step of calculating the average speed comprises,

[0081] First, calculate the instantaneous speed, and the specific calculation formula is:

[0082] ;

[0083] In the formula, N represents the instantaneous speed, T represents the sampling time N received by the inner, Np is the number of pulses per revolution of the encoder, and the formula is used to obtain the instantaneous speed of the fan in real time, reflecting the instantaneous state of the fan during operation;

[0084] After obtaining the instantaneous speed of the fan, the average speed is calculated, and the specific calculation formula is:

[0085] ;

[0086] In the formula, N represents the average speed, N represents the number of samples included when calculating the average, N represents the instantaneous speed at the sampling time , and the formula calculates the average of multiple instantaneous speeds to obtain the average speed of the fan in the current time window , reflecting the overall operation state of the fan.

[0087] S3, combine the average speed with the speed standard deviation to obtain a dynamic threshold.

[0088] The method for obtaining the dynamic threshold comprises,

[0089] Combine the average speed of the fan with the speed standard deviation to adjust the dynamic threshold, and the specific calculation formula is:

[0090] ;

[0091] In the formula, is an adjustment coefficient, is the standard deviation of the instantaneous speed, representing the volatility of the fan operation, N represents the dynamic threshold.

[0092] After obtaining the dynamic threshold, the dynamic threshold is corrected, and the correction formula is:

[0093] ;

[0094] wherein, and both represent correction coefficients, taking into account the deviation and volatility between the real-time speed and the set value, to achieve more accurate overspeed judgment, represents the corrected dynamic threshold, and the correction formula enhances the adaptability of the device to the actual working condition, effectively reducing false alarm phenomenon.

[0095] S4, comparing the actual speed with the value of the dynamic threshold, obtaining the fan motion state information according to the comparison result.

[0096] When the fan overspeed detection device detects that the speed exceeds the set threshold through the incremental photoelectric encoder and the inductive proximity switch, the high-speed signal processor will immediately trigger the alarm logic, and through the connected display unit, it will update and display the overspeed fault information, the current gear ratio, the generator speed, the impeller speed and other related fault information in real time. These information provides an intuitive device running state for the operator, which helps to quickly identify and handle overspeed faults. When an overspeed fault is detected, the display unit will immediately issue a field alarm with the aid of the sound and light alarm module, and the screen will simultaneously display a highlighted prompt of the fault parameter, which can help the operator quickly identify the fault type and specific location.

[0097] As shown in Figures 3-5, the "synchronization" and "start" buttons on the interface can be used to adjust the running state of the system, while the speed adjustment buttons below ("+100", "+10", "-100", "-10") allow the operator to fine control the fan speed and quickly adjust the fan to a safe state. At the same time, the communication indicator light shows the normal state, ensuring that the fault alarm information can be successfully transmitted to the remote monitoring system.

[0098] 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 the remote operator can obtain the fault data of the fan in the first time and quickly understand the running state of the fan. After receiving these fault information, the industrial computer or SCADA system will perform deep analysis and safe storage on the data, and generate detailed fault reports, providing 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.

[0099] In summary, based on the technical principles, signal acquisition, data fusion and fault detection technology of incremental photoelectric encoder and inductive proximity switch; through the design of multi-signal synchronous acquisition and data fusion module, the problem of inconsistent speed signals of fan low-speed end and high-speed end is solved, and the precision and anti-interference ability of signal processing are improved; combined with real-time overspeed detection and dynamic threshold judgment method, the precise monitoring and rapid response of fan running state are realized, and the false positive and false negative 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.

[0100] Embodiment 2

[0101] On the basis of the first embodiment, the embodiment further provides an overspeed detection system of a wind turbine safety chain system, comprising a signal sampling module, a signal processing module, a calculation module, and a control execution module;

[0102] The signal sampling module is used for synchronous sampling of the output signals of the encoder and the proximity switch, to ensure that all signals are collected under the same time reference;

[0103] The signal processing module is used for data fusion of the encoder signal and the proximity switch signal, and pre-processing of the integrated information after fusion;

[0104] The calculation module is used for calculating the average speed and dynamic threshold value of the fan, to facilitate subsequent comparison;

[0105] The control execution module executes the corresponding control command according to the result after comparison, and triggers the audible and light alarm when overspeed is detected.

[0106] The embodiment further provides a computer device suitable for the case of the overspeed detection method of the wind turbine safety chain system, comprising a memory and a processor; the memory is used for storing computer executable instructions, and the processor is used for executing the computer executable instructions to realize the overspeed detection method of the wind turbine safety chain system as proposed in the above embodiment.

[0107] The computer device can be a terminal, and the computer device includes a processor, a memory, a communication interface, a display screen and an input device connected by a system bus. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes 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 running the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is configured to perform wired or wireless communication with an external terminal. The wireless communication can be achieved by WIFI, an operator network, NFC (near field communication) or other technologies. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer overlaid on the display screen, or a key, trackball or touchpad arranged on the shell of the computer device, or an external keyboard, touchpad or mouse, etc.

[0108] The embodiment also provides a storage medium having a computer program stored thereon, and the computer program is executed by a processor to implement the overspeed detection method of the wind turbine safety chain system.

[0109] The storage medium provided by the embodiment belongs to the same inventive concept as the data storage method provided by the above embodiment, and the technical details not described in detail in the embodiment can be referred to the above embodiment, and the embodiment has the same beneficial effects as the above embodiment.

[0110] Embodiment 3

[0111] On the basis of the first two embodiments, the embodiment provides an overspeed detection method of a wind turbine safety chain system. In order to verify the beneficial effects of the application, a simulation experiment is performed for scientific demonstration.

[0112] The experimental device adopts an incremental photoelectric encoder and an inductive proximity switch to perform multi-signal acquisition, and high-precision detection is achieved by combining signal processing and overspeed detection algorithms. The parameters of the experiment are as follows:

[0113] Table 1 Experimental parameters

[0114]

[0115] In order to comprehensively verify the performance and adaptability of the wind turbine overspeed detection device, three typical working conditions, i.e., high wind speed working condition, load mutation working condition and electromagnetic interference working condition, are selected for testing to evaluate the performance of the detection device under different conditions. The experimental steps are as follows:

[0116] First, the experimental preparation, ensure the wind speed, temperature, fan load and other operating conditions consistent, calibration of all test equipment, to ensure the accuracy of the initial state and zero point calibration, to avoid experimental error, the need for incremental optical encoder and inductive proximity switch zero point and other detection equipment comprehensive calibration, to ensure the accuracy of the initial state, reduce the measurement error caused by equipment deviation.

[0117] The control group uses the traditional detection method, using mechanical speedometer and magneto speed sensor to collect the speed signal of fan hub and generator respectively, these signals are transmitted to the conventional PLC system for processing after detection, and the running state of the fan is judged by fixed overspeed threshold.

[0118] The experimental group uses the detection device designed in this paper, which realizes synchronous signal acquisition of the low-speed end and high-speed end of the fan through incremental optical encoder and inductive proximity switch, and the collected multiple signals are analyzed in real time by high-speed pulse processor, and the fan speed is accurately judged by combining dynamic threshold algorithm to detect whether there is overspeed state.

[0119] After the completion of the two groups of experiments, compare the experimental data of the control group and the experimental group, focus on the differences in detection accuracy, response speed, misjudgment rate and anti-interference ability of the two groups, and statistics the average detection performance of the two groups, verify the technical advantages of the experimental group in improving the detection accuracy, response speed and anti-interference ability, and summarize the improvement effect and optimization potential of the experimental group, provide the basis for further optimization of the device.

[0120] Table 2 experimental results

[0121]

[0122] From table 2, it can be seen that 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 speed of the experimental group is 3.09s, 4.63s and 5.93s respectively, which is much lower than that of the control group, indicating that the experimental group has faster overspeed detection reaction; in terms of anti-interference ability, the experimental group reaches 96.41%, 96.84% and 97.58% respectively under each working condition, which is much higher than that of the control group, showing that the experimental group has the ability to maintain high stability in complex environment; the detection accuracy of the experimental group is 97.31%, 96.35% and 97.23% respectively, which is significantly higher than that of the control group, 73.82%, 72.59% and 68.18%, significantly improving the accurate identification ability of overspeed state; in terms of misjudgment rate, the experimental group is obviously lower, which is 0.58%, 1.09% and 1.62% respectively, while the control group is as high as 12.86%, 16.76% and 19.72%, indicating that the experimental group can effectively reduce the false judgment and ensure the safe and reliable operation of the fan.

[0124] It should be noted that the above examples are only used to illustrate the technical solutions of the present application but not to limit the present application. Although the present application is described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present application can be modified or equivalently replaced, without departing from the spirit and scope of the technical solutions of the present application, which should be covered in the scope of the claims of the present application.

Claims

1. A method of overspeed detection for a wind turbine safety chain system, the method comprising: The method comprises the following steps, ​ Synchronously sampling the encoder and the output signal, calculating the integrated information after fusion, and preprocessing the integrated information; The average speed is calculated by receiving the pulse signal output by the encoder; The average speed is combined with the speed standard deviation to obtain a dynamic threshold value; The actual speed is compared with the dynamic threshold value, and the fan movement state information is obtained according to the comparison result.

2. The overspeed detection method for a wind turbine safety chain system according to claim 1, characterized in that: The step of synchronously sampling the encoder and the output signal comprises, The number of pulses outputted by the incremental photoelectric encoder is set as , the trigger frequency of the inductive proximity switch is , the sampling period is then the system's encoder signal frequency in one sampling period The calculation formula of is: ； The encoder signal frequency the triggering frequency of the proximity switch signal The comparison is performed under the same time reference.

3. The overspeed detection method for a wind turbine safety chain system according to claim 2, wherein: The step of calculating the integrated information comprises, The weights of different signal sources are dynamically adjusted by an adaptive weighting algorithm, which is used for the stability and accuracy of signal fusion; wherein, specifically including, setting the weight of the encoder signal as , the weight of the proximity switch signal is then the integrated signal after fusion The calculation formula of is: ； In the formula, the weight of the encoder signal and the proximity switch signal The value of is dynamically adjusted according to the signal-to-noise ratio of the signal source.

4. The overspeed detection method for a wind turbine safety chain system according to claim 3, wherein: The step of preprocessing the integrated information comprises, The fused signal is subjected to noise suppression and state estimation by combining a Kalman filtering algorithm, specifically comprising: The filtered integrated rotational speed is set as , the predicted rotational speed is The filtered speed calculation formula is: 。 5. The overspeed detection method for a wind turbine safety chain system according to claim 4, wherein: The step of calculating the average speed comprises, The instantaneous speed is first calculated, and the specific calculation formula is: ； In the formulae, indicates the instantaneous rotational speed, represents the sampling time number of pulses received by the inner receiver, The number of pulses per revolution of the encoder; After obtaining the instantaneous speed of the fan, the average speed is calculated, and the specific calculation formula is: ； In the formulae, denotes the average rotational speed, represents the number of samples included in the calculation of the average value, represents the 1 The instantaneous speed at the second sampling time.

6. The overspeed detection method for a wind turbine safety chain system according to claim 5, wherein: The method for obtaining the dynamic threshold value comprises, The average speed of the fan and the speed standard deviation are combined to adjust the dynamic threshold value, and the specific calculation formula is: ； In the formulae, is a regulation coefficient, is the standard deviation of the instantaneous rotational speed, representing the fluctuation of the fan operation, The dynamic threshold value is represented as 7. The overspeed detection method for a wind turbine safety chain system according to claim 6, wherein: After obtaining the dynamic threshold value, the dynamic threshold value is corrected, and the correction formula is: ； In the formulae, and both represent correction coefficients, The corrected dynamic threshold value is represented as 8. 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 of claims 1 to 7, characterized in that: The system comprises a signal sampling module, a signal processing module, a calculation module, and a control execution module; The signal sampling module is used for synchronously sampling the output signals of the encoder and the proximity switch, ensuring that all signals are collected under the same time reference; The signal processing module is used for data fusion of the encoder signal and the proximity switch signal, and preprocessing the integrated information after fusion; The calculation module is used for calculating the average speed and the dynamic threshold value of the fan, facilitating subsequent comparison; The control execution module executes the corresponding control command according to the result after comparison, and triggers the audible and light alarm when overspeed is detected. 9.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is characterized in that: The processor executes the computer program to realize the steps of the overspeed detection method of the wind turbine generator system safety chain system according to any one of claims 1-7.

10. A computer readable storage medium having stored thereon a computer program, characterized in that: The computer program is executed by the processor to realize the steps of the overspeed detection method of the wind turbine generator system safety chain system according to any one of claims 1-7.

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