Monitoring Method and Device for Monitoring the Transmission Mechanism of a Wind Turbine

Abstract

The present invention provides a monitoring method and device for monitoring the transmission mechanism of a wind turbine, the method comprising: obtaining the latest operating data of a target wind turbine and importing it into a preset wind turbine database, the preset wind turbine database giving preliminary pre-diagnosis information based on the latest operating data of the group; if the pre-diagnosis information indicates that the wind turbine is a poorly operating unit, then retrieving the unit information of several adjacent units of the same model in the wind farm where the target unit is located, and judging the operating conditions of the transmission mechanism based on the information of several adjacent units, locating the position of the transmission mechanism of the faulty wind turbine; combining the frequency spectrum characteristics of the transmission mechanism acquired by the retrieved single-machine high-precision data, further accurately locating the degree of damage of the faulty transmission mechanism. The method can quantify the health status of the transmission mechanism of the wind turbine; provide technical support for the wind farm to carry out maintenance or special technical transformation of the wind turbine transmission mechanism, and ensure the overall benefits of the wind farm.

Description

Technical Field

[0001] The present invention belongs to the field of health monitoring of wind turbines, and particularly relates to a monitoring method and device for monitoring the transmission mechanism of wind turbines. Background Art

[0002] With the continuous increase in the single-unit capacity of wind turbines, the installed capacity of wind power has been increasing. As of 2021, the cumulative installed capacity of wind power in China has reached 15.85 million kilowatts. Developing wind power is an inevitable trend in the international economic and energy development, and also an inevitable choice for the development of emerging strategic industries in China. However, with the rapid development of wind power in China and the continuous increase in the installed capacity, some of the early megawatt-class 1.5MW wind turbines have been in operation for more than 10 years, and the valuable operation data of the units are uniformly stored in the new energy intelligent operation and maintenance platform center. With the development of big data technology, we can conduct a census of each wind farm and each unit in the new energy intelligent operation and maintenance center, and scientifically quantify the health status of the transmission mechanisms of wind turbines in the wind farm. Summary of the Invention

[0003] The present invention aims to solve at least one of the technical problems existing in the prior art, and provides a monitoring method and device for monitoring the transmission mechanism of wind turbines.

[0004] One aspect of the present invention provides a monitoring method for monitoring the transmission mechanism of a wind turbine, the method comprising:

[0005] Obtain the latest operation data of the target wind turbine, and import the latest operation data into a preset wind turbine database, and the preset wind turbine database gives preliminary pre-diagnosis information according to the latest operation data of the target wind turbine;

[0006] If the pre-diagnosis information indicates that the wind turbine is a poorly operating unit, the preset wind turbine database retrieves the information of several adjacent units of the same model in the wind farm where the target unit is located, and judges the operation condition of the transmission mechanism according to the information of the adjacent several units, and locates the position of the transmission mechanism of the wind turbine where the fault occurs;

[0007] According to the located position of the transmission mechanism where the fault occurs, combined with the frequency spectrum characteristics of the transmission mechanism collected by the single-unit high-precision data retrieved by the preset wind turbine database, further accurately locate the damage degree of the transmission mechanism where the fault occurs.

[0008] Optionally, the preset wind turbine database gives preliminary pre-diagnosis information according to the latest operation data of the target wind turbine, including:

[0009] Judge the basic conditions of the rotational speed and power of the wind turbine according to the wind speed condition where the target unit is located;

[0010] When the measured rotational speed of the wind turbine is less than the threshold of the theoretical rotational speed corresponding to the measured wind speed while the target unit is in a non-power-limited power generation state of the wind turbine unit, the wind turbine is determined to be the malfunctioning unit.

[0011] Optionally, judging the operating condition of the transmission mechanism according to the information of several adjacent units and positioning the position of the transmission mechanism of the malfunctioning wind turbine unit includes:

[0012] When the malfunctioning unit has a rotational speed much less than the fault rotational speed threshold under the same wind speed condition compared with several surrounding units, it represents that the high-speed shaft in the transmission mechanism of the wind turbine is broken.

[0013] Optionally, judging the operating condition of the transmission mechanism according to the information of several adjacent units and positioning the position of the transmission mechanism of the malfunctioning wind turbine unit further includes:

[0014] When the malfunctioning unit has a rotational speed greater than the fault rotational speed threshold and less than the warning rotational speed threshold under the same wind speed condition compared with several surrounding units, it represents that the coupling in the transmission mechanism of the wind turbine slips.

[0015] Optionally, judging the operating condition of the transmission mechanism according to the information of several adjacent units and positioning the position of the transmission mechanism of the malfunctioning wind turbine unit further includes:

[0016] When the malfunctioning unit has a rotational speed greater than the warning rotational speed threshold under the same wind speed condition compared with several surrounding units, it represents that the third-stage gear in the gearbox of the transmission mechanism of the wind turbine is chipped or damaged.

[0017] Optionally, before further accurately positioning the damage degree of the malfunctioning transmission mechanism by combining the spectrum characteristics of the transmission mechanism collected by the single-unit high-precision data retrieved from the preset wind turbine database according to the located position of the malfunctioning transmission mechanism, the method further includes:

[0018] According to the monitoring point signal of the high-precision vibration sensor on the located transmission mechanism, the vibration signal is Fourier-transformed into a frequency-domain signal.

[0019] Optionally, further accurately positioning the damage degree of the malfunctioning transmission mechanism by combining the spectrum characteristics of the transmission mechanism collected by the single-unit high-precision data retrieved from the preset wind turbine database according to the located position of the malfunctioning transmission mechanism includes:

[0020] When the acceleration spectrum signal of the vibration signal of the transmission mechanism is greater than the second limit frequency value, it represents that the transmission mechanism of the wind turbine is severely damaged;

[0021] When the acceleration spectrum signal of the vibration signal of the transmission mechanism is greater than the first limit frequency value and less than the second limit frequency value, it represents that the transmission mechanism of the wind turbine is in a sub-healthy state;

[0022] When the acceleration spectrum signal of the vibration signal of the transmission mechanism is less than the first limit frequency value, it represents that the transmission mechanism of the wind turbine is normal.

[0023] Another aspect of the present invention provides a monitoring device for monitoring the transmission mechanism of a wind turbine. The device includes an acquisition module, a diagnosis module, a determination module, a first positioning module, and a second positioning module;

[0024] The acquisition module is used to acquire the latest operation data of the target wind turbine and import the latest operation data into a preset wind turbine database;

[0025] The diagnosis module is used to give preliminary pre-diagnosis information according to the latest operation data of the target wind turbine;

[0026] The determination module is used to determine whether the wind turbine is a poorly operating unit according to the pre-diagnosis information;

[0027] The first positioning module is used to judge the operation condition of the transmission mechanism according to the information of the faulty unit and several adjacent units, and locate the position of the transmission mechanism of the faulty wind turbine;

[0028] The second positioning module is used to further accurately locate the damage degree of the faulty transmission mechanism according to the located position of the faulty transmission mechanism and in combination with the spectral characteristics of the transmission mechanism collected by single-unit high-precision data.

[0029] Another aspect of the present invention provides an electronic device, which is characterized in that it includes:

[0030] One or more processors;

[0031] A storage unit for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors can be enabled to implement the monitoring method described above.

[0032] Another aspect of the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the monitoring method described above can be implemented.

[0033] The monitoring method and device for monitoring the drive mechanism of a wind turbine of the present invention can quantify the health status of the drive mechanism of the wind turbine. By using this method, the health status of the drive mechanism of the wind turbine can be effectively identified, providing technical support for the maintenance or special technical transformation of the drive mechanism of the wind turbine in the wind farm, and ensuring the overall revenue of the wind farm. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a schematic flow chart of a monitoring method for monitoring the drive mechanism of a wind turbine according to an embodiment of the present invention;

[0035] Figure 2 It is a schematic structural diagram of a monitoring device for monitoring the drive mechanism of a wind turbine according to another embodiment of the present invention;

[0036] Figure 3 It is a schematic structural diagram of an electronic device in another embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0037] To enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be further described in detail below with reference to the drawings and specific embodiments.

[0038] As Figure 1 shown, one aspect of the present invention provides a semi-physical simulation method S100 for a wind turbine, and the method S100 includes:

[0039] S110. Obtain the latest operation data of the target wind turbine and import the latest operation data into a preset wind turbine database, and the preset wind turbine database gives preliminary pre-diagnosis information according to the latest operation data of the target wind turbine.

[0040] Specifically, as Figure 2 shown, the latest operation data of the target wind turbine is obtained through the obtaining module 110. Further preferably, in this embodiment, the operation data of the target wind turbine in the latest one hour is obtained. The preset wind turbine database is the fan expert database of the intelligent operation and maintenance platform center, and the diagnosis module 120 gives preliminary pre-diagnosis information according to the operation data of the target wind turbine in the latest one hour, representing the basic health status of the unit operation.

[0041] It should be noted that the big data intelligent operation and maintenance platform can integrate the unit systems of all the same mainframe manufacturers into a large server, store the real-time data of thousands of units of the same mainframe manufacturer in the server, and upload the information such as wind speed, rotation speed, power, and fan status related to the transmission structure mechanism of each unit to the big data intelligent operation and maintenance platform center.

[0042] S120. If the pre-diagnosis information indicates that the wind turbine is a malfunctioning unit, the preset wind turbine database retrieves the information of several adjacent units of the same model in the wind farm where the target unit is located, and based on the information of the adjacent units, determines the operating condition of the transmission mechanism and locates the position of the malfunctioning wind turbine transmission mechanism.

[0043] Specifically, as Figure 2 shown, the determination module 130 determines whether the wind turbine is a malfunctioning unit according to the pre-diagnosis information. In this embodiment, when the target unit is in a non-power-limited power generation state of the wind turbine and the measured rotational speed of the wind turbine is less than the threshold M of the theoretical rotational speed corresponding to the measured wind speed, it is determined that the wind turbine is the malfunctioning unit. In this embodiment, for example, under the condition of an average wind speed of 5 m / s, the threshold M of the theoretical rotational speed is 1400 rpm.

[0044] If the determination module 130 determines that the target wind turbine is a malfunctioning unit, the first positioning module 140 locates the position of the malfunctioning wind turbine transmission mechanism.

[0045] It should be noted that the transmission mechanism of the wind turbine mainly includes: the wind wheel, the low-speed shaft, the coupling, the gearbox, the high-speed shaft, and the generator. The main fault points of the transmission mechanism of the wind turbine usually include characteristics such as coupling slip, high-speed shaft fracture, and gear tooth breakage in the gearbox.

[0046] Exemplarily, according to the wind speed condition where the target unit is located, the basic conditions of the rotational speed and power of the wind turbine are judged. Specifically, in this embodiment, the intelligent operation and maintenance platform center retrieves the information of several adjacent units of the same model in the wind farm where the pre-diagnosed malfunctioning unit is located according to the signal of the pre-diagnosed malfunctioning unit, and based on the rotational speed and main state of the adjacent units under the same wind speed condition, judges the operating condition of the transmission components and locates the problem of which transmission component;

[0047] Exemplarily, when the malfunctioning unit has a rotational speed far less than the fault rotational speed threshold A under the same wind speed condition above the cut-in wind speed compared with several surrounding units, it represents that the high-speed shaft in the wind turbine transmission mechanism is broken. In this embodiment, for example, under the condition of an average wind speed of 5 m / s, the fault rotational speed threshold A is 1100 rpm.

[0048] Exemplarily, when the malfunctioning unit has a rotational speed greater than the fault rotational speed threshold A and less than the warning rotational speed threshold B under the same wind speed condition above the cut-in wind speed compared with several surrounding units, it represents that the coupling in the wind turbine transmission mechanism has a slipping condition. In this embodiment, for example, under the condition of an average wind speed of 5 m / s, the warning rotational speed threshold B is 1300 rpm.

[0049] Exemplarily, when the faulty unit has a rotational speed greater than the warning speed threshold B under the same wind speed condition compared to several surrounding units, it indicates that the third-stage gear of the gearbox in the drive mechanism of the wind turbine has suffered tooth breakage or damage.

[0050] S130. Based on the located position of the faulty drive mechanism, combined with the spectral characteristics of the drive mechanism collected by the single-unit high-precision data acquisition from the preset wind turbine database, further accurately locate the damage degree of the faulty drive mechanism.

[0051] It should be noted that high-precision acceleration sensors are equipped on the single-unit drive mechanism for the low-speed shaft, high-speed shaft, first-stage planetary gear, second-stage planetary gear, and high-speed stage in the gearbox. The measured acceleration signals of the sensors are uploaded to the big data intelligent operation and maintenance platform center through the wind farm Scada ring communication network.

[0052] In this embodiment, the second positioning module 150 further accurately locates the damage degree of the faulty drive mechanism based on the located position of the faulty drive mechanism and combined with the spectral characteristics of the drive mechanism collected by the single-unit high-precision data acquisition.

[0053] Exemplarily, according to the monitoring point signal of the high-precision vibration sensor on the located drive mechanism, the vibration signal is subjected to Fourier transform to obtain a frequency-domain signal.

[0054] Exemplarily, when the acceleration spectral signal of the drive mechanism vibration signal is greater than the second limit frequency value, it indicates that the drive mechanism of the wind turbine is severely damaged; where the second limit frequency value is 0.5 Hz.

[0055] When the acceleration spectral signal of the drive mechanism vibration signal is greater than the first limit frequency value and less than the second limit frequency value, it indicates that the drive mechanism of the wind turbine is in a sub-healthy state; where the first limit frequency value is 0.3 Hz.

[0056] When the acceleration spectral signal of the drive mechanism vibration signal is less than the first limit frequency value, it indicates that the drive mechanism of the wind turbine is normal.

[0057] Through the above method, it is possible to identify which wind turbine has problems with the drive mechanism and scientifically and accurately locate the damage degree of the drive mechanism after the problem occurs, thus realizing an effective method for a general survey of the health status of the drive mechanism of the unit.

[0058] In this embodiment, taking a 2MW model in a certain wind farm as an example:

[0059] For the faulty unit in a wind farm, at the same wind speed, compared with the rotational speed signals of adjacent wind turbines, it seriously deviates from the normal value. Through the above scientific positioning method, the measured frequencies of the vibration acceleration signals of the transmission mechanism of this unit are shown in Table 1. It is found that the measured frequency of the high-speed stage of the gearbox of this unit is 0.62 Hz, which is much greater than the second set frequency of 0.5 Hz. Therefore, it can be shown that the gears of the high-speed stage of the gearbox of this unit are damaged by tooth breakage, and it is recommended to replace the gears of the high-speed stage of the gearbox.

[0060] Table 1 Measured Frequencies of Vibration Acceleration Signals of the Transmission Mechanism of 2MW Wind Turbine Units in a Wind Farm

[0061]

[0062] As Figure 2 shown, another aspect of the present invention provides a monitoring device for monitoring the transmission mechanism of a wind turbine. The device includes an acquisition module 110, a diagnosis module 120, a determination module 130, a first positioning module 140, and a second positioning module 150.

[0063] The acquisition module 110 is used to acquire the latest operation data of the target wind turbine and import the latest operation data into a preset wind turbine database. In this embodiment, the acquisition module 110 acquires the operation data of the target wind turbine for the latest one hour. The preset wind turbine database is the fan expert database of the intelligent operation and maintenance platform center

[0064] The diagnosis module 120 is used to give preliminary pre-diagnosis information according to the latest operation data of the target wind turbine. In this embodiment, the diagnosis module 120 gives preliminary pre-diagnosis information according to the operation data of the target wind turbine for the latest one hour, representing the basic health status of the unit operation.

[0065] The determination module 130 is used to determine whether the wind turbine is a faulty operating unit according to the pre-diagnosis information. In this embodiment, when the target wind turbine is in a non-power-limited power generation state and the measured rotational speed of the fan is less than the threshold M of the theoretical rotational speed corresponding to the measured wind speed, it is established that the fan is a faulty operating unit.

[0066] The first positioning module 140 is used to judge the operation condition of the transmission mechanism according to the information of the faulty unit and several adjacent units thereof, and position the position of the transmission mechanism of the faulty wind turbine.

[0067] Specifically, according to the wind speed situation where the target unit is located, the basic conditions of the rotational speed and power of the wind turbine are judged; when the defective unit, compared with several surrounding units, has a rotational speed much lower than the fault rotational speed threshold A under the same wind speed condition, it represents that the high-speed shaft in the transmission mechanism of the wind turbine is broken. In this embodiment, for example, under the condition of an average wind speed of 5 m / s, the fault rotational speed threshold A is 1100 rpm. When the defective unit, compared with several surrounding units, has a rotational speed greater than the fault rotational speed threshold A and less than the warning rotational speed threshold B under the same wind speed condition, it represents that the coupling in the transmission mechanism of the wind turbine has a slipping situation. In this embodiment, for example, under the condition of an average wind speed of 5 m / s, the warning rotational speed threshold B is 1300 rpm.

[0068] When the defective unit, compared with several surrounding units, has a rotational speed greater than the warning rotational speed threshold B under the same wind speed condition, it represents that the third-stage gear in the gearbox of the wind turbine has tooth scoring or damage.

[0069] The second positioning module 150 is used to further accurately locate the damage degree of the faulty transmission mechanism according to the located position of the faulty transmission mechanism and in combination with the frequency spectrum characteristics of the transmission mechanism collected by the single-unit high-precision data acquisition.

[0070] Specifically, when the acceleration frequency spectrum signal of the vibration signal of the transmission mechanism is greater than the second limit frequency value, it represents that the transmission mechanism of the wind turbine is severely damaged; wherein, the second limit frequency value is 0.5 Hz.

[0071] When the acceleration frequency spectrum signal of the vibration signal of the transmission mechanism is greater than the first limit frequency value and less than the second limit frequency value, it represents that the transmission mechanism of the wind turbine is in a sub-healthy state; wherein, the first limit frequency value is 0.3 Hz.

[0072] When the acceleration frequency spectrum signal of the vibration signal of the transmission mechanism is less than the first limit frequency value, it represents that the transmission mechanism of the wind turbine is normal.

[0073] The monitoring device for monitoring the transmission mechanism of a wind turbine according to the present invention can quantify the health state of the transmission mechanism of the wind turbine; effectively identify the health state of the transmission mechanism of the wind turbine, and provide technical support for the wind farm to carry out maintenance or special technical transformation of the transmission mechanism of the wind turbine, so as to ensure the overall benefit of the wind farm.

[0074] As Figure 3 shown, another aspect of the present invention provides an electronic device 200, including:

[0075] One or more processors 210, one or more storage units 220, and the one or more storage units 220 are used to store one or more programs. When the one or more programs are executed by the one or more processors 210, the one or more processors can implement the data recording method described above. The electronic device 200 also includes one or more input units 230, one or more output units 240, etc. These components of the electronic device 200 are interconnected through a bus system 250 and / or other forms of connection mechanisms. It should be noted that Figure 3 The components and structure of the illustrated electronic device 200 are exemplary rather than restrictive. According to needs, the electronic device 200 may also have other components and structures.

[0076] The processor 210 may be a central processing unit (CPU) or other forms of processing units with data processing capabilities and / or instruction execution capabilities, and can control other components in the electronic device 200 to perform desired functions.

[0077] The storage unit 220 may include one or more computer program products, and the computer program products may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory, etc. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program instructions may be stored on the computer-readable storage medium, and the processor may run the program instructions to implement the client functions (implemented by the processor) in the embodiments of the present invention described below and / or other desired functions. Various application programs and various data may also be stored in the computer-readable storage medium. For example, various data used and / or generated by the application programs, etc.

[0078] The input unit 230 may be a device used by a user to input instructions, and may include one or more of a keyboard, a mouse, a microphone, a touch button, and a touch screen, etc.

[0079] The output unit 240 may output various information (such as images or sounds) to the outside (such as the user), and may include one or more of a display, a speaker, etc.

[0080] Another aspect of the present invention provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it can implement the data recording method described above.

[0081] Among them, the computer-readable medium may be included in the device, equipment, and system of the present invention, or may exist separately.

[0082] Among them, the computer-readable storage medium can be any tangible medium that contains or stores a program, and it can be an electrical, magnetic, optical, electromagnetic, infrared, semiconductor system, device, equipment. More specific examples include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, an optical fiber, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0083] Among them, the computer-readable storage medium can also include a data signal propagated in a baseband or as part of a carrier wave, which carries computer-readable program code. Specific examples thereof include, but are not limited to, electromagnetic signals, optical signals, or any suitable combination thereof.

[0084] It can be understood that the above embodiments are merely exemplary embodiments adopted to illustrate the principles of the present invention. However, the present invention is not limited thereto. For those of ordinary skill in the art, various modifications and improvements can be made without departing from the spirit and essence of the present invention, and these modifications and improvements are also regarded as the protection scope of the present invention.

Claims

1. A monitoring method for monitoring the drive mechanism of a wind turbine, characterized in that, The method includes: Obtaining the latest operation data of the target wind turbine generator set and importing the latest operation data into a preset wind turbine generator set database, and the preset wind turbine generator set database gives preliminary pre-diagnosis information according to the latest operation data of the target wind turbine generator set; If the pre-diagnosis information indicates that the wind turbine generator set is a poorly operating unit, the preset wind turbine generator set database retrieves the information of several adjacent units of the same model in the wind farm where the target unit is located, and judges the operation condition of the transmission mechanism according to the information of the adjacent several units, and locates the position of the transmission mechanism of the wind turbine generator set where the fault occurs; wherein, The process of locating the position of the transmission mechanism of the wind turbine generator set where the fault occurs may specifically include: when the poorly operating unit has a rotational speed much lower than the fault rotational speed threshold under the same wind speed condition compared with several surrounding units, it represents that the high-speed shaft in the transmission mechanism of the wind turbine generator set is broken; According to the located position of the transmission mechanism where the fault occurs, combined with the frequency spectrum characteristics of the transmission mechanism collected by the single-unit high-precision data retrieved from the preset wind turbine generator set database, further accurately locate the damage degree of the transmission mechanism where the fault occurs.

2. The method according to claim 1, wherein The preset wind turbine generator set database gives preliminary pre-diagnosis information according to the latest operation data of the target wind turbine generator set, including: Judging the basic conditions of the rotational speed and power of the wind turbine generator set according to the wind speed condition where the target unit is located; When the measured rotational speed of the wind turbine generator set is less than the threshold of the theoretical rotational speed corresponding to the measured wind speed when the target unit is in the non-power-limited power generation state of the wind turbine generator set, it is determined that the wind turbine generator set is the poorly operating unit.

3. The method according to claim 1, wherein The judging the operation condition of the transmission mechanism according to the information of the adjacent several units and locating the position of the transmission mechanism of the wind turbine generator set where the fault occurs further includes: When the poorly operating unit has a rotational speed greater than the fault rotational speed threshold and less than the warning rotational speed threshold under the same wind speed condition compared with several surrounding units, it represents that the coupling in the transmission mechanism of the wind turbine generator set has a slipping condition.

4. The method according to claim 1, characterized in that The judging the operation condition of the transmission mechanism according to the information of the adjacent several units and locating the position of the transmission mechanism of the wind turbine generator set where the fault occurs further includes: When the poorly operating unit has a rotational speed greater than the warning rotational speed threshold under the same wind speed condition compared with several surrounding units, it represents that the third-stage gear in the gearbox of the transmission mechanism of the wind turbine generator set has tooth beating or damage.

5. The method according to claim 1, wherein Before further accurately locating the damage degree of the transmission mechanism where the fault occurs according to the located position of the transmission mechanism where the fault occurs, combined with the frequency spectrum characteristics of the transmission mechanism collected by the single-unit high-precision data retrieved from the preset wind turbine generator set database, the method further includes: Performing Fourier transform on the vibration signal to convert it into a frequency-domain signal according to the monitoring point signal of the high-precision vibration sensor on the located transmission mechanism.

6. The method according to claim 1, wherein The further accurately locating the damage degree of the transmission mechanism where the fault occurs according to the located position of the transmission mechanism where the fault occurs, combined with the frequency spectrum characteristics of the transmission mechanism collected by the single-unit high-precision data retrieved from the preset wind turbine generator set database, includes: When the acceleration spectrum signal of the vibration signal of the transmission mechanism is greater than the second limit frequency value, it represents that the transmission mechanism of the wind turbine is severely damaged; When the acceleration spectrum signal of the vibration signal of the transmission mechanism is greater than the first limit frequency value and less than the second limit frequency value, it represents that the transmission mechanism of the wind turbine is in a sub-healthy state; When the acceleration spectrum signal of the vibration signal of the transmission mechanism is less than the first limit frequency value, it represents that the transmission mechanism of the wind turbine is normal.

7. A monitoring device for monitoring the drive mechanism of a wind turbine, characterized in that, The device includes an acquisition module, a diagnosis module, a determination module, a first positioning module, and a second positioning module; The acquisition module is used to acquire the latest operation data of the target wind turbine and import the latest operation data into a preset wind turbine database; The diagnosis module is used to give preliminary pre-diagnosis information according to the latest operation data of the target wind turbine; The determination module is used to determine whether the wind turbine is a poorly operating unit according to the pre-diagnosis information; The first positioning module is used to judge the operation condition of the transmission mechanism according to the information of the faulty unit and several adjacent units thereof, and locate the position of the transmission mechanism of the faulty wind turbine; wherein, The first positioning module is further specifically used that when the faulty unit has a rotational speed much lower than the fault rotational speed threshold under the same wind speed condition compared with several surrounding units, it represents that the high-speed shaft in the transmission mechanism of the wind turbine is broken; The second positioning module is used to further accurately locate the damage degree of the faulty transmission mechanism according to the located position of the faulty transmission mechanism and in combination with the spectrum characteristics of the transmission mechanism collected by single-machine high-precision data.

8. An electronic device, characterized in that, Comprising: One or more processors; A storage unit for storing one or more programs, which when executed by the one or more processors, can enable the one or more processors to implement the monitoring method according to any one of claims 1 to 6.

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