A wind turbine characteristic evaluation system

Abstract

The application provides a wind turbine characteristic evaluation system, compared with the prior art, the wind turbine characteristic evaluation system comprises a monitoring module for monitoring vibration of a wind turbine and obtaining corresponding vibration parameters, an analysis module for analyzing and calculating the vibration parameters obtained by the monitoring module, and a judgment module for further judging the operation condition of the wind turbine based on the analysis result obtained by the analysis module. The application can find abnormal state of the wind turbine in time by monitoring vibration of the wind turbine and analyzing parameters, further judges the operation condition of the wind turbine, thereby avoiding potential safety accidents. Meanwhile, by using high-precision sensors such as ultrasonic receiving sensors, more accurate vibration parameters of the wind turbine can be obtained, thereby improving the evaluation precision.

Description

Technical Field

[0001] The present invention relates to the technical field of wind turbine generator set detection, and in particular to a wind turbine generator set characteristic evaluation system. Background Art

[0002] Calculating wind turbine loads is a crucial step in wind turbine design and wind farm construction. Wind turbine loads refer to the forces or moments acting on their components from both the external and internal environments. These include aerodynamic loads, gravity loads, inertial loads, and operational loads caused by control system operation. Wind turbine loads can also be categorized as extreme loads and fatigue loads based on structural design requirements. Wind turbine characteristic assessment is a crucial step in wind farm operation and maintenance, helping to determine wind turbine performance, reliability, and health.

[0003] This experimental team has been browsing and researching a large amount of relevant records and materials on the relevant technologies of wind turbine detection for a long time. At the same time, relying on relevant resources and conducting a large number of relevant experiments, after extensive searches, it was found that existing technologies such as CN106407589B, JP2006301090A, KR101855680B1, and JP2009243428A disclosed in the prior art are available. For example, a wind turbine status assessment and prediction method and system disclosed in the prior art includes: obtaining healthy period data from historical data of wind turbines of the same model, statistically generating healthy value ranges of indicator parameters in different spatiotemporal dimensions, and giving weights corresponding to the degree of deviation of each parameter from the healthy value range to establish a health model; treating the changes of the same parameter in the historical data of wind turbines of the same model as a spatial domain, extracting the change trend and range of the indicator parameters in the spatiotemporal dimension with wind turbine faults, and establishing a fault model; comparing the real-time monitored wind turbine parameters with the health model and the fault model respectively, evaluating and predicting the current wind turbine status, and outputting alarms in a timely manner. The present invention can accurately, reliably and effectively monitor and evaluate the health status of wind turbines in real time and predict wind turbine failures, so that wind farm workers can make maintenance work plans in advance and reduce losses caused by wind turbine failures.

[0004] The present invention is made in order to solve the common problems in the art such as the complicated steps and low degree of automation in health detection of wind turbines. Summary of the Invention

[0005] The purpose of the present invention is to address the deficiencies in the current field and to propose a wind turbine characteristics evaluation system.

[0006] In order to overcome the deficiencies of the prior art, the present invention adopts the following technical solutions:

[0007] A wind turbine characteristic evaluation system includes a monitoring module for monitoring the vibration of the wind turbine and obtaining corresponding vibration parameters, an analysis module for analyzing and calculating the vibration parameters obtained by the monitoring module, and a judgment module for further judging the operating status of the wind turbine based on the analysis results obtained by the analysis module.

[0008] The monitoring module includes a mobile mechanism that can be moved and operated in a wind turbine plant, a fixed unit that fixes the mobile mechanism to the ground near the wind turbine, a horizontal plate fixed horizontally on the mobile mechanism, a support column fixed vertically on the horizontal plate, a matching plate fixed to the top of the support column, and a flexible pressure sensor evenly laid on the matching plate to monitor the pressure between the matching plate and the outer wall of the wind turbine. The pressure sensor is configured to monitor and obtain pressure values ​​at a preset time period, and the pressure average obtained at the same monitoring time on the same matching plate is the monitoring parameter value obtained at the corresponding monitoring time.

[0009] The fixing unit includes at least one fixing plate of an annular structure arranged around the ground near the wind turbine, a telescopic drive device fixed to the bottom wall of the horizontal plate and capable of linear telescopic movement relative to the bottom wall, an extension block fixed to the horizontal plate through a corresponding mounting seat and with the bottom end extending toward the ground, an adaptation cavity uniformly arranged on the fixing plate for identification and matching with the matching block, at least one groove distributed on the outer wall of the extension block, a movable channel recessed from the inner wall of the adaptation cavity relative to the outer periphery of the adaptation cavity, and a movable channel movably matched with the matching block. The locking block is in the movable channel and can be extended into and engaged in the groove, the telescopic driving rod is fixed in the movable channel and is used to drive the locking block to pass through the movable channel into the adaptation cavity, and the alignment unit is arranged on the fixed plate and the horizontal plate, wherein the alignment unit is used to identify the relative position of the fixed plate and the horizontal plate, and further drive the moving mechanism until the extension block is aligned with the adaptation cavity, the adaptation cavity is an open cavity formed by the depression from the upper plate wall of the fixed plate relative to the lower side, and the bottom of the fixed plate is at least partially embedded and fixed to the ground.

[0010] Furthermore, the alignment unit includes a sound wave emitting unit arranged in the adaptation cavity for emitting a preset sound wave signal, at least three ultrasonic receiving sensors for receiving the sound wave signal, a processing unit that receives the detection signal of the ultrasonic receiving sensor and further analyzes and processes it to obtain the reception time of each ultrasonic sensor receiving the sound wave signal, and an analysis unit that judges the position information of the fixed plate and the horizontal plate according to each reception time and sends corresponding instruction information to the moving mechanism to drive the movement adjustment of the moving mechanism, wherein the at least three ultrasonic receiving sensors are respectively represented as a first sensor, a second sensor, and a third sensor, wherein the block wall of the extension block relatively located at the bottom is abutting block, and the ultrasonic receivers are respectively embedded in the abutting wall of the extension block, and the ultrasonic sensors are coaxially distributed on the extension block, and the sound wave signal transmitter is arranged at the center of the bottom wall of the adaptation cavity.

[0011] Furthermore, the processing unit is implemented by the following steps:

[0012] S101: receiving ultrasonic signals from the first sensor, the second sensor and the third sensor,

[0013] S102: Perform signal amplification, filtering, decoupling, gate circuit processing on the ultrasonic signal to extract the ultrasonic signal.

[0014] S103: Acquire the arrival time of the signal received by each ultrasonic receiving sensor.

[0015] Furthermore, the analysis unit is implemented by the following steps:

[0016] S201: further determining the relative position of the extension block and the adaptation cavity based on the arrival time of the received signal and the position spacing between the signal sensors, so as to determine the relative position of the extension block and the adaptation cavity.

[0017] S202: Sending instruction information to the moving mechanism to drive the movement of the moving mechanism and adjust the position of the extension block and the adapting cavity.

[0018] S203: Repeat S201-S202 until the time when the three ultrasonic receiving sensors receive the signals is consistent or the time difference does not exceed the threshold time length. At this time, the position of the extension block and the adaptation cavity are precisely aligned, wherein the instruction information is a specific command used to control the movement of the moving mechanism.

[0019] Furthermore, the analysis module includes a filtering unit that filters abnormal data of vibration parameters within the monitoring group to obtain target vibration parameters, a change calculation unit that obtains a change reference value of the target vibration parameters, and a state acquisition unit that further obtains the vibration parameters of the wind turbine group based on the change reference value.

[0020] Furthermore, the filtering unit detects whether the trend change of the monitoring parameter value is abnormal by analyzing the trend change pairs of the two monitoring parameter values ​​obtained at adjacent monitoring times. Specifically, the filtering unit is implemented by the following steps:

[0021] S301: The current monitoring parameter value is represented as rn, and the data of n points forward from the current monitoring parameter value data are selected as the X series set, and rn is within the range of the X series set.

[0022] S302: Arrange the detection parameter values ​​in the X series set in ascending order, determine the median of the data, and divide the entire data into two parts based on the median, namely, a group below the median and a group above the median. The median of the group below the median is determined as M1, and the median of the group above the median is recorded as M2.

[0023] S303: Calculate the interquartile range FRP of the X series set:

[0024] FRP=M2-M1,

[0025] S304: Determine the upper edge A and lower edge B of the X sequence set:

[0026] A=M2+1.5FRP,

[0027] B=M1-1.5FRP,

[0028] S305: The X series set is judged in sequence, and the monitoring parameter values ​​in the X series set that are greater than A or less than B are regarded as abnormal values. The abnormal values ​​are removed from the X series set to further obtain a filtered data sequence Y.

[0029] The beneficial effects achieved by the present invention are:

[0030] 1. The present invention can comprehensively evaluate the operating status of the wind turbine through vibration monitoring and analytical calculation, thereby effectively improving the efficiency of characteristic evaluation of the wind turbine. The fixing unit of the present invention can realize accurate monitoring and measurement of the matching plate and the outer wall of the wind turbine through components such as the adaption cavity, groove, movable channel and snap block, thereby improving the automation level of the system and measurement accuracy.

[0031] 2. The present invention uses an ultrasonic sensor for precise positioning, can identify the relative positions of the fixed plate and the horizontal plate, and further drive the moving mechanism until the extension block is aligned with the adaptation cavity, thereby achieving simple and quick operation.

[0032] 3. The present invention uses the filtering unit to eliminate noise and abnormal points through analysis and calculation, thereby improving the accuracy of subsequent processing. The change calculation unit eliminates the dimensional influence between different data by describing the change of data, making the comparison between data more accurate. The judgment module uses Chebyshev distance to measure the difference between two data sequences. This method can accurately evaluate the similarity of data, thereby determining whether the vibration amplitude of the wind turbine is abnormal. The judgment module further adopts real-time monitoring and timely sending of early warning information, which can effectively predict potential failures and dangers of the wind turbine and improve production safety and stability. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] The present invention can be further understood from the following description in conjunction with the accompanying drawings. The components in the figures are not necessarily drawn to scale, but rather the emphasis is placed on illustrating the principles of the embodiments. In different views, the same reference numerals designate corresponding parts.

[0034] Figure 1 Schematic diagram of the modularization of the wind turbine characteristics evaluation system of the present invention.

[0035] Figure 2 Schematic diagram of the operation flow of the processing unit of the present invention.

[0036] Figure 3 Schematic diagram of the operation flow of the analysis unit of the present invention.

[0037] Figure 4 Schematic diagram of the operation flow of the filtration unit of the present invention.

[0038] Figure 5 Schematic diagram of the operation flow of the change calculation unit of the present invention. DETAILED DESCRIPTION

[0039] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention is further described in detail below in conjunction with its embodiments; it should be pointed out that the specific embodiments described herein are only used to explain the present invention and are not used to limit this case. For those skilled in the art, after reviewing the following detailed description, other systems, methods and / or features of this embodiment will become apparent. In addition, the terms describing the positional relationship in the accompanying drawings are only for illustrative purposes and cannot be understood as limiting this patent. For those of ordinary skill in the art, the specific meanings of the above terms can be understood according to the specific circumstances.

[0040] Example 1: Combined with the attached Figure 1 , Attachment Figure 2 , Attachment Figure 3 , Attachment Figure 4 and attached Figure 5This embodiment constructs a wind turbine characteristic evaluation system, which includes a monitoring module for monitoring the vibration of the wind turbine and obtaining corresponding vibration parameters, an analysis module for analyzing and calculating the vibration parameters obtained by the monitoring module, and a judgment module for further judging the operating status of the wind turbine based on the analysis results obtained by the analysis module.

[0041] The monitoring module includes a mobile mechanism that can be moved and operated in a wind turbine plant, a fixed unit that fixes the mobile mechanism to the ground near the wind turbine, a horizontal plate fixed horizontally on the mobile mechanism, a support column fixed vertically on the horizontal plate, a matching plate fixed to the top of the support column, and a flexible pressure sensor evenly laid on the matching plate to monitor the pressure between the matching plate and the outer wall of the wind turbine. The mobile mechanism is an AGV mobile cart of the prior art and will not be described in detail here. The mobile mechanism realizes directional movement to the location of the target wind turbine according to the user's instruction information, and further, under the operation of the fixed unit, realizes the matching plate abutting against the outer wall of the wind turbine casing to detect the vibration of the wind turbine during the rotation of the blades;

[0042] The fixing unit includes at least one fixing plate of an annular structure arranged around the ground near the wind turbine, a telescopic driving device fixed to the bottom wall of the horizontal plate and capable of linear telescopic movement relative to the bottom wall, an extension block fixed to the horizontal plate through a corresponding mounting seat and with the bottom end extending toward the ground, an adapting cavity uniformly arranged on the fixing plate for identification and matching with the matching block, at least one groove distributed on the outer wall of the extension block, a movable channel recessed from the inner cavity wall of the adapting cavity relative to the outer periphery of the adapting cavity, a snapping block movably fitted in the movable channel and capable of extending into and engaging with the groove, a telescopic driving rod respectively fixed in the movable channel and used for driving the snapping block to pass through the movable channel into the adapting cavity, and an alignment unit arranged on the fixing plate and the horizontal plate;

[0043] The alignment unit is used to identify the relative positions of the fixed plate and the horizontal plate, and further drive the moving mechanism until the extension block is aligned with the adaptation cavity. The fixed unit is configured so that when the telescopic drive rod is in a retracted state, the engaging block is completely received in the movable channel, and when the telescopic drive rod is in an extended state, the engaging block is driven out of the movable channel to the adaptation cavity by the telescopic drive rod and further extends into the groove to engage with the groove, wherein the adaptation cavity is an open cavity formed by a depression from the upper plate wall of the fixed plate relative to the lower side, and the bottom of the fixed plate is at least partially embedded and fixed to the ground;

[0044] The present invention can comprehensively evaluate the operating status of the wind turbine through vibration monitoring and analytical calculation, thereby effectively improving the efficiency of characteristic evaluation of the wind turbine. The fixing unit of the present invention can realize accurate monitoring and measurement of the matching plate and the outer wall of the wind turbine through components such as the adaptation cavity, groove, movable channel and snap block, thereby improving the automation level of the system and measurement accuracy.

[0045] Example 2: Combined with the attached Figure 1 , Attachment Figure 2 , Attachment Figure 3 , Attachment Figure 4 and attached Figure 5 In addition to the contents of the above embodiments, the positioning unit further comprises a sound wave transmitting unit disposed in the adapting cavity for transmitting a preset sound wave signal, at least three ultrasonic receiving sensors for receiving the sound wave signal, a processing unit that receives the detection signals of the ultrasonic receiving sensors and further analyzes and processes the signals to obtain a reception time length of each ultrasonic sensor receiving the sound wave signal, and an analyzing unit that determines position information of the fixed plate and the horizontal plate according to each reception time length and sends corresponding instruction information to the moving mechanism to drive the movement and adjustment of the moving mechanism;

[0046] Specifically, at least three ultrasonic receiving sensors are respectively represented as a first sensor, a second sensor, and a third sensor, wherein the block wall of the extension block located relatively at the bottom is an abutment block, the ultrasonic receivers are respectively embedded in the abutment wall of the extension block, the ultrasonic sensors are cocentrically distributed on the extension block, and the sound wave signal transmitter is arranged at the center of the bottom wall of the adaptation cavity;

[0047] The processing unit is implemented by the following steps:

[0048] S101: receiving ultrasonic signals from the first sensor, the second sensor and the third sensor,

[0049] S102: Perform signal amplification, filtering, decoupling, gate circuit processing on the ultrasonic signal to extract the ultrasonic signal.

[0050] S103: Analyze the processed signal and obtain the arrival time of the signal received by each ultrasonic receiving sensor;

[0051] The analysis unit implements the following steps:

[0052] S201: further determining the relative position of the extension block and the adaptation cavity based on the arrival time of the received signal and the position spacing between the signal sensors, so as to determine the relative position of the extension block and the adaptation cavity.

[0053] S202: Sending instruction information to the moving mechanism to drive the movement of the moving mechanism and adjust the position of the extension block and the adapting cavity.

[0054] S203: Repeat S201-S202 until the three ultrasonic receiving sensors receive signals at the same time or the time difference does not exceed the threshold time length, at which point the extension block and the adapting cavity are precisely aligned;

[0055] The instruction information is a specific command for controlling the movement of the moving mechanism so as to adjust the position of the extension block and the adapting cavity. The specific instruction content includes at least parameters such as the speed, direction, and distance of the movement, so that the movement mechanism can automatically adjust the position and achieve precise alignment.

[0056] When the extension block is aligned with the adapting cavity, the distances between the acoustic wave emitting unit and the three ultrasonic receiving sensors are equal, forming a regular vertebral position. At this time, the three ultrasonic receiving sensors theoretically receive signals at exactly the same time, and the received ultrasonic signal strengths are also the same. The real-time received ultrasonic signals are used as feedback to determine whether the positions of the extension block and the adapting cavity are aligned.

[0057] When the sound wave transmitting unit sends out an ultrasonic signal, the three ultrasonic receiving sensors receive the ultrasonic signal respectively and output the received ultrasonic signal to the processing unit. The processing unit extracts the ultrasonic signal from the carrier signal through functions such as signal amplification, filtering, decoupling, and gate circuits, and analyzes it to further obtain the arrival time of the signal received by each ultrasonic receiving sensor. When the extension block is not aligned with the adaptation cavity, due to the different distances between the sound wave transmitting unit and each receiver, the time when each receiver receives the signal is also different. According to the ultrasonic signal reception time of the three different signal sensors, the processing unit can further determine the relative position of the extension block and the adaptation cavity;

[0058] By judging the arrival time of the signals received by each ultrasonic receiving sensor, the relative position of the extension block and the adapter cavity is determined. Then, the position of the extension block and the adapter cavity is adjusted until the time when the three ultrasonic receiving sensors receive the signals is consistent or the time difference does not exceed the threshold time. At this time, the position of the extension block and the adapter cavity is accurately aligned. Finally, the moving mechanism will adjust its position according to the corresponding instruction information, so that the fixed plate and the horizontal plate are accurately aligned.

[0059] After the extension block is aligned with the adapting cavity, the analysis unit generates a driving instruction and sends it to the telescopic drive device and the telescopic drive rod, thereby fixing the moving mechanism on the fixed plate. At the same time, the matching plate is sleeved onto at least the outer wall of the casing of the wind turbine, and then the vibration amplitude of the wind turbine is obtained according to the detection value of the pressure sensor on the matching plate. The pressure sensor is configured to monitor and obtain the pressure value at a preset time period, and the pressure average value obtained at the same monitoring time on the same matching plate is the monitoring parameter value obtained at the corresponding monitoring time;

[0060] The analysis module includes a filtering unit for filtering abnormal data of vibration parameters in the monitoring group to obtain target vibration parameters, a change calculation unit for obtaining a reference value of a change of the target vibration parameters, and a state acquisition unit for further obtaining vibration parameters of the wind turbine generator set based on the reference value of the change;

[0061] The present invention uses an ultrasonic sensor for precise positioning, can identify the relative positions of the fixed plate and the horizontal plate, and further drive the moving mechanism until the extension block is aligned with the adaptation cavity, thereby achieving simple and quick operation.

[0062] Example 3: Combined with the Figure 1 , Attachment Figure 2 , Attachment Figure 3 , Attachment Figure 4 and attached Figure 5 In addition to the contents of the above embodiments, the filtering unit also includes an algorithm for detecting whether the trend change of the monitoring parameter value is abnormal by analyzing the trend change pairs of two monitoring parameter values ​​corresponding to adjacent monitoring time periods. Specifically, the filtering unit is implemented by the following steps:

[0063] S301: The current monitoring parameter value is represented as rn, and the data of n points forward from the current monitoring parameter value data are selected as the X series set, and rn is within the range of the X series set.

[0064] S302: Arrange the detection parameter values ​​in the X series set in ascending order, determine the median of the data, and divide the entire data into two parts based on the median, namely, a group below the median and a group above the median. The median of the group below the median is determined as M1, and the median of the group above the median is recorded as M2.

[0065] S303: Calculate the interquartile range FRP of the X series set:

[0066] FRP=M2-M1,

[0067] S304: Determine the upper edge A and lower edge B of the X sequence set:

[0068] A=M2+1.5FRP,

[0069] B=M1-1.5FRP,

[0070] S305: sequentially judging the X series set, treating the monitoring parameter values ​​in the X series set that are greater than A or less than B as abnormal values, and removing the abnormal values ​​from the X series set to further obtain a filtered data sequence Y;

[0071] The change calculation unit implements the following steps:

[0072] S401: Divide the data in sequence Y into two continuous data segments, denoted as Y1 and Y2 respectively.

[0073] Using the least squares method to estimate the slope of Y1 and Y2, we can get slope1 and slope2. The formula is as follows:

[0074]

[0075] Where b is the monitoring parameter value in Y1, a is the monitoring time corresponding to the monitoring parameter value in Y1, k1 is the number of monitoring parameter values ​​in Y1,

[0076]

[0077] d is the monitoring parameter value in Y2, c is the monitoring time corresponding to the monitoring parameter value in Y2, and k2 is the number of monitoring parameter values ​​in Y2, where

[0078] S402: Calculate the average value Avg of Y1 Y1 :

[0079] Calculate the average value Avg of Y2 Y2：

[0080] S403: Normalize slope1 to obtain KE1, and normalize slope2 to obtain KE2. The calculation formula is as follows:

[0081]

[0082]

[0083] S404: A set of KE1 and KE2 is obtained for each monitoring time, and the KE1 obtained in succession during the consecutive monitoring time is expressed as a sequence set KA, and the KE2 obtained in succession during the consecutive monitoring time is expressed as a sequence total KB.

[0084] S405: Slide with a window size of m, where m≥10, and calculate the Chebyshev distance D between the two data sequences KA and KB. The calculation formula is as follows:

[0085]

[0086] The data obtained by |KA-KB| is taken as set B, where i∈B, To extract the maximum value in set B, the judgment module receives the Chebyshev distance D in real time, and when D is greater than a preset threshold, determines that the motor vibration amplitude is abnormal. The first step judgment module generates an early warning message and sends the early warning signal to a preset terminal device via wireless communication technology for relevant personnel to be informed;

[0087] The present invention uses the filtering unit to eliminate noise and abnormal points through analysis and calculation, thereby improving the accuracy of subsequent processing. The change calculation unit eliminates the dimensional influence between different data by describing the change of data, making the comparison between data more accurate. The judgment module uses the Chebyshev distance to measure the difference between two data sequences. This method can accurately evaluate the similarity of the data, thereby determining whether the vibration amplitude of the wind turbine is abnormal. The judgment module further adopts real-time monitoring and timely sending of early warning information, which can effectively predict potential failures and dangers of the wind turbine and improve production safety and stability.

[0088] Although the present invention has been described above with reference to various embodiments, it will be appreciated that many changes and modifications may be made without departing from the scope of the present invention. That is, the methods, systems, and devices discussed above are examples. Various configurations may omit, replace, or add various processes or components as appropriate. For example, in alternative configurations, the methods may be performed in an order different from that described, and / or various components may be added, omitted, and / or combined. Moreover, the features described with respect to certain configurations may be combined in various other configurations, such as different aspects and elements of the configurations may be combined in a similar manner. In addition, as technology develops, the elements therein may be updated, i.e., many elements are examples and do not limit the scope of the present disclosure or claims. It will also be appreciated that, after reading the contents of the present invention, a technician may make various changes or modifications to the present invention, and these equivalent changes and modifications also fall within the scope defined by the claims of the present invention.

Claims

1. A wind turbine characteristic evaluation system, characterized in that: The wind turbine characteristic evaluation system includes a monitoring module for monitoring the vibration of the wind turbine and obtaining corresponding vibration parameters, an analysis module for analyzing and calculating the vibration parameters obtained by the monitoring module, and a judgment module for further judging the operating status of the wind turbine based on the analysis results obtained by the analysis module. The monitoring module includes a mobile mechanism that can be moved and operated in a wind turbine plant, a fixed unit that fixes the mobile mechanism to the ground near the wind turbine, a horizontal plate fixed horizontally on the mobile mechanism, a support column fixed vertically on the horizontal plate, a matching plate fixed to the top of the support column, and a flexible pressure sensor evenly laid on the matching plate to monitor the pressure between the matching plate and the outer wall of the wind turbine. The pressure sensor is configured to monitor and obtain pressure values ​​at a preset time period, and the average pressure obtained at the same monitoring time on the same matching plate is the monitoring parameter value obtained at the corresponding monitoring time. The fixing unit includes at least one fixing plate of an annular structure arranged around the ground near the wind turbine generator set, a telescopic drive device fixed to the bottom wall of the horizontal plate and capable of linear telescopic movement relative to the bottom of the bottom wall, an extension block fixed to the horizontal plate through a corresponding mounting seat and with the bottom end extending toward the ground, an adapting cavity evenly arranged on the fixing plate for identification and matching with the extension block, at least one groove distributed on the outer wall of the extension block, a movable channel recessed from the inner wall of the adapting cavity relative to the outer periphery of the adapting cavity, and a movable matching a locking block in the movable channel and capable of extending into and engaging with the groove, a telescopic driving rod fixed in the movable channel and used for driving the locking block to pass through the movable channel into the adapting cavity, and an alignment unit provided on the fixed plate and the horizontal plate, wherein the alignment unit is used for driving the moving mechanism until the extension block is aligned with the adapting cavity according to the relative position of the fixed plate and the horizontal plate, the adapting cavity being an open cavity formed by being recessed from the upper plate wall of the fixed plate relative to the lower side, and the bottom of the fixed plate is at least partially embedded and fixed to the ground; The alignment unit includes a sound wave emitting unit arranged in the adaptation cavity for emitting a preset sound wave signal, at least three ultrasonic receiving sensors for receiving the sound wave signal, a processing unit that receives the detection signal of the ultrasonic receiving sensor and further analyzes and processes it to obtain the reception time of each ultrasonic receiving sensor receiving the sound wave signal, and an analysis unit that judges the position information of the fixed plate and the horizontal plate according to each reception time and sends corresponding instruction information to the moving mechanism to drive the movement adjustment of the moving mechanism, wherein the at least three ultrasonic receiving sensors are respectively represented as the first sensor, the second sensor, and the third sensor, wherein the block wall of the extension block relatively located at the bottom is the abutment wall, and the ultrasonic receiving sensors are respectively embedded in the abutment wall of the extension block, and the ultrasonic receiving sensors are coaxially distributed on the extension block, and the sound wave emitting unit is arranged at the center of the bottom wall of the adaptation cavity.

2. The wind turbine characteristic evaluation system according to claim 1, wherein: The processing unit is implemented by the following steps: S101: receiving ultrasonic signals from the first sensor, the second sensor and the third sensor, S102: Amplify, filter, decouple, and gate the ultrasonic signal to extract the ultrasonic signal. S103: Acquire the arrival time of the signal received by each ultrasonic receiving sensor.

3. The wind turbine characteristic evaluation system according to claim 2, wherein: The analysis unit is implemented by the following steps: S201: further determining the relative position of the extension block and the adaptation cavity based on the arrival time of the received signal and the position spacing between the signal sensors, so as to determine the relative position of the extension block and the adaptation cavity. S202: Sending instruction information to the moving mechanism to control the movement of the moving mechanism and adjust the position of the extension block and the adapting cavity. S203: Repeat S201-S202 until the time when the three ultrasonic receiving sensors receive the signals is consistent or the time difference does not exceed the threshold time length. At this time, the position of the extension block and the adaptation cavity are precisely aligned, wherein the instruction information is a specific command used to control the movement of the moving mechanism.

4. The wind turbine characteristic evaluation system according to claim 3, wherein: The analysis module includes a filtering unit for filtering abnormal data of vibration parameters in the monitoring group to obtain target vibration parameters, a change calculation unit for obtaining a change reference value of the target vibration parameter, and a state acquisition unit for further obtaining the vibration parameters of the wind turbine group based on the change reference value.

5. The wind turbine characteristic evaluation system according to claim 4, wherein: The filtration unit is realized by the following steps: S301: The current monitoring parameter value is represented as rn, and the data of n points forward from the current monitoring parameter value data are selected as the X series set, and rn is within the range of the X series set. S302: Arrange the monitoring parameter values ​​in the X series set in ascending order, determine the median of the data, and divide the entire data into two parts based on the median, namely, a group below the median and a group above the median. The median of the group below the median is determined as M1, and the median of the group above the median is recorded as M2. S303: Calculate the interquartile range FRP of the X series set: FRP=M2-M1, S304: Determine the upper edge A and lower edge B of the X sequence set: A=M2+1.5*FRP, B=M1-1.5*FRP, S305: The X series set is judged in sequence, and the monitoring parameter values ​​in the X series set that are greater than A or less than B are regarded as abnormal values. The abnormal values ​​are removed from the X series set to further obtain a filtered data sequence Y.

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