A lightweight wind turbine bearing idling trajectory monitoring method and system

Abstract

The present invention discloses a method and system for monitoring the idling trajectory of a lightweight wind turbine bearing, and relates to the field of wind turbine bearing monitoring. The method comprises: based on a black and white signal band pre-arranged on the wind turbine bearing, real-time acquisition of reflected light signals generated by the idling of the wind turbine bearing, and conversion of the reflected light signals into square wave signals; obtaining the total number of signals according to the square wave signal, calculating the idling angle of the wind turbine bearing, and judging the idling direction of the wind turbine bearing according to the timing and period of the square wave signal; and monitoring the idling trajectory of the wind turbine bearing based on the idling angle and idling direction of the wind turbine bearing. The present invention can accurately calculate the idling angle and direction of the wind turbine bearing through an idling angle and direction calculation unit, thereby effectively solving the problem of lack of idling trajectory status monitoring of wind turbine bearings in the current wind power field, and further being able to evaluate the health status of the wind turbine bearing.

Description

Technical Field

[0001] The present invention relates to the field of wind turbine bearing monitoring, and in particular to a method and system for monitoring the idling trajectory of a lightweight wind turbine bearing. Background Art

[0002] When the wind turbine is in standby mode, that is, the wind turbine is not connected to the grid, the blades rotate freely under the drive of the ambient wind, causing the wind turbine bearings to idle and produce tiny rotations or vibrations, which will lead to abnormal wear and component failure of the bearings, reducing their service life and seriously affecting the power generation and economic benefits of the wind turbine. Therefore, it is necessary to carry out research on the health status assessment of wind turbine bearings to provide technical support for wind turbine bearing status inspection and maintenance and ensure the safe operation of wind turbines.

[0003] However, the existing safety monitoring of wind turbine bearings mainly focuses on the status of wind turbines during grid-connected operation, concentrating on the vibration characteristics, cable forces, changes and load conditions during wind turbine operation, and lacks effective monitoring methods for the idling status of wind turbine bearings when not connected to the grid. Therefore, there is an urgent need for a monitoring system that can monitor the idling trajectory of wind turbine bearings in real time when not connected to the grid, obtain key operating parameters, provide data support for health status assessment and maintenance strategies of wind turbine bearings, and promptly discover potential problems to ensure the safe operation of wind turbines.

[0004] Currently, no effective solution has been proposed for the problems in the related technologies. Summary of the invention

[0005] In view of the problems in the related art, the present invention proposes a method and system for monitoring the idling trajectory of a lightweight wind turbine bearing to overcome the above-mentioned technical problems existing in the existing related art.

[0006] To this end, the specific technical solution adopted by the present invention is as follows:

[0007] According to one aspect of the present invention, a method for monitoring the idling trajectory of a lightweight wind turbine bearing is provided, the method comprising:

[0008] S1. Based on the black and white signal bands pre-arranged on the wind turbine bearings, the reflected light signals generated by the idling of the wind turbine bearings are collected in real time, and the reflected light signals are converted into square wave signals;

[0009] S2. Obtain the total number of signals according to the square wave signal, calculate the idling angle of the wind turbine bearing, and determine the idling direction of the wind turbine bearing according to the timing and period of the square wave signal;

[0010] S3. Based on the idling angle and idling direction of the wind turbine bearing, the idling trajectory of the wind turbine bearing is monitored.

[0011] Furthermore, based on the black and white signal bands pre-arranged on the wind turbine bearings, the reflected light signals generated by the idling of the wind turbine bearings are collected in real time, and the reflected light signals are converted into square wave signals, including:

[0012] S11, based on two black and white signal bands pre-arranged on the wind turbine bearing, using two laser sensors to respectively collect reflected light signals generated by the two black and white signal bands when the wind turbine bearing is idling, to obtain two reflected light signal data sets;

[0013] S12, converting each reflected light signal data set into an electrical signal data set through a laser sensor;

[0014] S13. Using a data acquisition instrument, the electrical signal data set is integrated into a square wave signal.

[0015] Furthermore, the black and white signal band is an annular band surrounding the wind turbine bearing, and the annular band is composed of n The colors of two adjacent fan-shaped blocks are black and white respectively;

[0016] The second black-and-white signal band is obtained by rotating the first black-and-white signal band clockwise by half a sector-shaped block.

[0017] Furthermore, the types of reflected light signals generated by the two black and white signal bands when the wind turbine bearing is idling are collected by two laser sensors respectively, including:

[0018] When the laser pulse is irradiated to the white sector block on the black and white signal band through the laser sensor, the reflected light generated by the white sector block is collected;

[0019] When the laser pulse is irradiated to the black sector-shaped area on the black and white signal band through the laser sensor, the reflected light 2 generated by the black sector-shaped area is collected.

[0020] Furthermore, the conversion rule of the reflected light signal data set into the electrical signal data set is: converting the reflected light one into the level signal one, and converting the reflected light two into the level signal two.

[0021] Further, the total number of signals is obtained according to the square wave signal, the idling angle of the wind turbine bearing is calculated, and the idling direction of the wind turbine bearing is determined according to the timing and period of the square wave signal, including:

[0022] S21, obtaining the total number of level signals 1 and the total number of level signals 2 through the square wave signal, obtaining the total number of level signals according to the total number of level signals 1 and the total number of level signals 2, and calculating the idling angle of the wind turbine bearing using the number of sector blocks;

[0023] S22. Compare the timing and period of the two black and white signals with the square wave signal to determine the idling direction of the wind turbine bearing.

[0024] Furthermore, the calculation formula of the idling angle of the wind turbine bearing is:

[0025] ;

[0026] In the formula, S represents the idling angle of the wind turbine bearing; m represents the total number of level signals; n Indicates the number of sector blocks.

[0027] Furthermore, the idling direction of the wind turbine bearing includes: a clockwise rotation direction and a counterclockwise rotation direction.

[0028] Furthermore, by comparing the timing and period of the two black and white signals with the square wave signal, the rules for determining the idling direction of the wind turbine bearing include:

[0029] When the starting position of level signal 1 in the square wave signal of the first black and white signal band corresponds to the middle position of level signal 2 in the square wave signal of the second black and white signal band, the idling direction of the wind turbine bearing is the clockwise rotation direction;

[0030] When the starting position of level signal 2 in the square wave signal of the first black and white signal band corresponds to the middle position of level signal 2 in the square wave signal of the second black and white signal band, the idling direction of the wind turbine bearing is counterclockwise.

[0031] According to another aspect of the present invention, there is provided a lightweight wind turbine bearing idling trajectory monitoring system, the system comprising: a signal acquisition unit, an idling angle and direction calculation unit, and an idling trajectory generation unit;

[0032] A signal acquisition unit, used to collect the reflected light signal generated by the idling of the wind turbine bearing in real time based on the black and white signal bands pre-arranged on the wind turbine bearing, and convert the reflected light signal into a square wave signal;

[0033] The idling angle and direction calculation unit is used to obtain the total number of signals according to the square wave signal, calculate the idling angle of the wind turbine bearing, and determine the idling direction of the wind turbine bearing according to the timing and period of the square wave signal;

[0034] The idling trajectory generating unit is used to monitor the idling trajectory of the wind turbine bearing based on the idling angle and idling direction of the wind turbine bearing.

[0035] The beneficial effects of the present invention are:

[0036] 1. The present invention can accurately calculate the idling angle and direction of the wind turbine bearing through the idling angle and direction calculation unit, thereby effectively solving the problem of lack of idling trajectory status monitoring of wind turbine bearings in the current wind power field, and then can evaluate the health status of wind turbine bearings, timely discover loosening, fatigue and other faults of bearings caused by environmental effects, take preventive maintenance measures, and provide scientific and reasonable support for the subsequent safety maintenance plan of wind turbines.

[0037] 2. The present invention can accurately calculate the rotation angle of the idling wind turbine bearing through the black and white signal bands, and synchronously collect the electrical signal data set in real time through the data collector, and integrate the electrical signal data set into a square wave signal, so that the wind turbine bearing idling trajectory monitoring system has good robustness and stability, and the monitoring system is simple in design, does not require tedious calculations and analysis, and has low implementation difficulty and complexity. It provides a data basis for the operation and maintenance optimization of wind turbines, and provides guidance and suggestions for the safe operation and maintenance of wind turbines and risk investigation. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0039] Figure 1 is a flow chart of a method for monitoring the idling trajectory of a lightweight wind turbine bearing according to an embodiment of the present invention;

[0040] Figure 2 This is a principle block diagram of a lightweight wind turbine bearing idling trajectory monitoring system according to an embodiment of the present invention;

[0041] Figure 3 This is a schematic diagram of a specific application of a method for monitoring the idling trajectory of a lightweight wind turbine bearing according to an embodiment of the present invention;

[0042] Figure 4 It is a schematic diagram of a black and white signal band of a single wind turbine bearing when specifically applied in a method for monitoring the idling trajectory of a lightweight wind turbine bearing according to an embodiment of the present invention;

[0043] Figure 5 It is a schematic diagram of the comparison difference between two black and white signal bands in a specific application of a lightweight wind turbine bearing idling trajectory monitoring method according to an embodiment of the present invention;

[0044] Figure 6 It is a schematic diagram of a square wave signal corresponding to a black and white signal band in a specific application of a method for monitoring the idling trajectory of a lightweight wind turbine bearing according to an embodiment of the present invention;

[0045] Figure 7 It is a schematic diagram of two black and white signal band square wave signals when a wind turbine bearing rotates clockwise in a specific application of a lightweight wind turbine bearing idling trajectory monitoring method according to an embodiment of the present invention;

[0046] Figure 8 It is a schematic diagram of two black and white signal band square wave signals when a wind turbine bearing rotates counterclockwise in a specific application of a lightweight wind turbine bearing idling trajectory monitoring method according to an embodiment of the present invention.

[0047] In the figure:

[0048] 1. Signal acquisition unit; 2. Idle angle and direction calculation unit; 3. Idle trajectory generation unit. DETAILED DESCRIPTION

[0049] To further illustrate each embodiment, the present invention provides drawings, which are part of the disclosure of the present invention and are mainly used to illustrate the embodiments and can be used in conjunction with the relevant descriptions in the specification to explain the operating principles of the embodiments. With reference to these contents, ordinary technicians in the field should be able to understand other possible implementations and advantages of the present invention. The components in the figures are not drawn to scale, and similar component symbols are generally used to represent similar components.

[0050] According to an embodiment of the present invention, a method and system for monitoring the idling trajectory of a lightweight wind turbine bearing are provided.

[0051] The present invention is further described with reference to the accompanying drawings and specific embodiments. Figure 1 As shown, according to one embodiment of the present invention, a method for monitoring the idling trajectory of a lightweight wind turbine bearing is provided, the method comprising:

[0052] S1. Based on the black and white signal bands pre-arranged on the wind turbine bearings, the reflected light signals generated by the idling of the wind turbine bearings are collected in real time, and the reflected light signals are converted into square wave signals.

[0053] Specifically, based on the black and white signal bands pre-arranged on the wind turbine bearings, the reflected light signals generated by the idling of the wind turbine bearings are collected in real time, and the reflected light signals are converted into square wave signals, including:

[0054] S11. Based on two black and white signal bands pre-arranged on the wind turbine bearing, two laser sensors are used to respectively collect reflected light signals generated by the two black and white signal bands when the wind turbine bearing is idling, to obtain two reflected light signal data sets.

[0055] Specifically, the black and white signal belt is an annular belt surrounding the wind turbine bearing. n The colors of two adjacent fan-shaped blocks are black and white respectively;

[0056] The second black-and-white signal band is obtained by rotating the first black-and-white signal band clockwise by half a sector-shaped block.

[0057] Specifically, the second black and white signal band is obtained by rotating half a sector block of the first black and white signal band clockwise, that is, there is a difference in the relative positions of the two black and white signal bands. Relative to the first black and white signal band, the black part of the second black and white signal band is aligned with the middle of the adjacent black and white area of ​​the first black and white signal band.

[0058] S12. Convert each reflected light signal data set into an electrical signal data set through a laser sensor.

[0059] Specifically, the types of reflected light signals generated by the two black and white signal bands when the wind turbine bearing is idling are collected by two laser sensors respectively, including:

[0060] When the laser pulse is irradiated to the white sector block on the black and white signal band through the laser sensor, the reflected light generated by the white sector block is collected;

[0061] When the laser pulse is irradiated to the black sector-shaped area on the black and white signal band through the laser sensor, the reflected light 2 generated by the black sector-shaped area is collected.

[0062] Specifically, the reflected light signal generated by the black and white signal band when the wind turbine bearing is idling is collected by a laser sensor. That is, the reflected light signal in the black and white signal band is captured by a laser sensor. First, a laser pulse is emitted at the target area of ​​the black and white signal band. After being reflected by the target, the laser is scattered in all directions, and the sensor receives the reflected light signal after reflection.

[0063] Specifically, when the laser sensor irradiates the white sector-shaped area on the black and white signal band with a laser pulse, the reflected light 1 generated by the white sector-shaped area is collected. That is, when the laser sensor irradiates the white sector-shaped area on the black and white signal band, most of the reflected light is received to obtain reflected light 1.

[0064] Specifically, when the laser sensor irradiates the black sector-shaped area on the black and white signal band with a laser pulse, the reflected light 2 generated by the black sector-shaped area is collected. That is, when the laser sensor irradiates the black sector-shaped area on the black and white signal band, most of the light is absorbed and the reflected light 2 is obtained.

[0065] Specifically, the conversion rule of the reflected light signal data set into the electrical signal data set is: converting the reflected light one into the level signal one, and converting the reflected light two into the level signal two.

[0066] Specifically, the reflected light 1 is converted into a level signal 1, that is, the reflected light 1 is converted into a high level signal.

[0067] Specifically, the reflected light ray 2 is converted into a level signal 2, that is, the reflected light ray 2 is converted into a low level signal.

[0068] S13. Using a data acquisition instrument, the electrical signal data set is integrated into a square wave signal.

[0069] Specifically, the collector is a lightweight, high-speed dynamic collector. Based on the lightweight, high-speed dynamic collector, it can collect signals synchronously in real time. The collection frequency can reach up to 10,000 Hz, and the rotation angle calculation result is accurate to 0.1 degree. It has good robustness and stability.

[0070] Specifically, the square wave signal is composed of alternating high-level signals and low-level signals. A high-level signal in the square wave signal corresponds to a white sector-shaped block on the black-and-white signal band, and a low-level signal in the square wave signal corresponds to a black sector-shaped block on the black-and-white signal band.

[0071] S2. Obtain the total number of signals according to the square wave signal, calculate the idling angle of the wind turbine bearing, and determine the idling direction of the wind turbine bearing according to the timing and period of the square wave signal.

[0072] Specifically, obtaining the total number of signals according to the square wave signal, calculating the idling angle of the wind turbine bearing, and judging the idling direction of the wind turbine bearing according to the timing and period of the square wave signal include:

[0073] S21, obtaining the total number of level signals 1 and the total number of level signals 2 through square wave signals, obtaining the total number of level signals according to the total number of level signals 1 and the total number of level signals 2, and calculating the idling angle of the wind turbine bearing using the number of sector blocks.

[0074] Specifically, the calculation formula for the idling angle of the wind turbine bearing is:

[0075] ;

[0076] In the formula, S represents the idling angle of the wind turbine bearing; m represents the total number of level signals; n Indicates the number of sector blocks.

[0077] Specifically, the high or low level signal in the square wave signal corresponds to a white or black sector block on the black and white signal band, and the black and white signal band is a ring band. Since each sector block has the same size, the angle of each sector block on the black and white signal band is .

[0078] S22. Compare the timing and period of the two black and white signals with the square wave signal to determine the idling direction of the wind turbine bearing.

[0079] Specifically, the idling directions of the wind turbine bearing include: clockwise rotation direction and counterclockwise rotation direction.

[0080] Specifically, by comparing the timing and period of the two black and white signals with square wave signals, the rules for determining the idling direction of the wind turbine bearing include:

[0081] When the starting position of level signal 1 in the square wave signal of the first black and white signal band corresponds to the middle position of level signal 2 in the square wave signal of the second black and white signal band, the idling direction of the wind turbine bearing is the clockwise rotation direction;

[0082] When the starting position of level signal 2 in the square wave signal of the first black and white signal band corresponds to the middle position of level signal 2 in the square wave signal of the second black and white signal band, the idling direction of the wind turbine bearing is counterclockwise.

[0083] Specifically, since the second black and white signal band is obtained by rotating half a sector of the first black and white signal band clockwise, there is a difference between the square wave signals corresponding to the two black and white signal bands. When rotating with the wind turbine bearing, whether clockwise or counterclockwise, the waveform corresponding to the second black and white signal band remains unchanged, and a low-level signal is generated first, and then high and low-level signals alternate; while the first black and white signal band will generate different square wave signals according to the direction of rotation; when rotating clockwise, the waveform signal corresponding to the first black and white signal band is a high-level signal first and then a low-level signal, and when rotating counterclockwise, the waveform signal corresponding to the first black and white signal band is a low-level signal first and then a high-level signal.

[0084] S3. Based on the idling angle and idling direction of the wind turbine bearing, the idling trajectory of the wind turbine bearing is monitored.

[0085] like Figure 2 As shown, according to another embodiment of the present invention, a lightweight wind turbine bearing idling trajectory monitoring system is provided, the system comprising: a signal acquisition unit 1, an idling angle and direction calculation unit 2, and an idling trajectory generation unit 3;

[0086] The signal acquisition unit 1 is used to collect the reflected light signal generated by the idling of the wind turbine bearing in real time based on the black and white signal bands pre-arranged on the wind turbine bearing, and convert the reflected light signal into a square wave signal;

[0087] The idling angle and direction calculation unit 2 is used to obtain the total number of signals according to the square wave signal, calculate the idling angle of the wind turbine bearing, and determine the idling direction of the wind turbine bearing according to the timing and period of the square wave signal;

[0088] The idling trajectory generating unit 3 is used to monitor the idling trajectory of the wind turbine bearing based on the idling angle and idling direction of the wind turbine bearing.

[0089] In summary, the present invention measures the angle and direction of rotation of the wind turbine bearing under the action of external force when the wind turbine is not connected to the grid through a laser sensor, monitors its idling trajectory, and based on the laser sensor and the lightweight high-speed dynamic data collector, collects the reflected light signal of the black and white signal band on the main shaft when the wind turbine bearing rotates in real time to generate a corresponding square wave signal, and can calculate the idling angle and direction of the wind turbine bearing when it is not connected to the grid by analyzing the waveform of the waveform signal; it effectively solves the problem of lack of idling trajectory status monitoring of wind turbine bearings in the current wind power field, can accurately calculate the idling angle and direction of the wind turbine bearing, evaluate the health status of the wind turbine bearing, promptly discover bearing failures such as looseness and fatigue caused by environmental factors, take preventive maintenance measures, and provide scientific and reasonable support for the subsequent safety maintenance plan of the wind turbine.

[0090] In order to facilitate understanding of the above technical solutions of the present invention, the working principle or operation mode of the present invention in the actual process is described in detail below.

[0091] In actual application, a ring-shaped black and white signal band is installed around the main shaft of the wind turbine bearing, and the black and white signal band is divided into 36 sector-shaped areas of the same size and alternating black and white. The angle of each area is 10 degrees (such as Figure 4 As shown); In order to accurately measure the direction of rotation of the wind turbine bearing, a second black and white signal band for comparison is set on the bearing. The position is rotated compared with the first black and white signal band, and the amplitude is half of the angle of a sector area. The relative positions of the two black and white signal bands (as shown Figure 5 As shown); then install two laser sensors to measure the reflected light signals of the two black and white signal bands respectively. At the initial position, connect the laser sensors to the lightweight high-speed dynamic data collector. When the wind turbine bearing rotates under the action of external wind, the corresponding square wave signal can be obtained. When the laser sensor irradiates the white sector area of ​​the black and white signal band, it corresponds to the high-level signal in the square wave signal, and the black sector area corresponds to the low-level signal. The waveform signal of the square wave signal (as shown Figure 6 As shown); a black and white signal band is divided into 36 alternating black and white sector areas, each sector area is 10 degrees, then in the corresponding square wave signal, each high level signal or low level signal appears, representing that the wind turbine bearing rotation angle is 10 degrees, and there are a total of 10 level signals (such as Figure 6 As shown), it means that the bearing rotates 100 degrees. By calculating the total amount of level signals in the waveform, the rotation angle of the wind turbine bearing can be clearly calculated. When the wind turbine bearing rotates clockwise, the square wave signal corresponding to the first black and white signal band is an alternating waveform of high and low level signals of equal length, while the waveform of the second black and white signal first generates a low level signal of half the length. The first black and white signal band waveform is shifted forward by half the length of a single level signal relative to the second black and white signal band waveform (as shown in Figure 1). Figure 7As shown); On the contrary, when the wind turbine bearing rotates counterclockwise, the waveform corresponding to the first black and white signal band is first a low-level signal and then a high-level signal, while the square wave waveform corresponding to the second black and white signal band remains unchanged. The first black and white signal band waveform is shifted backward by half the length of a single level signal relative to the second black and white signal band waveform (as shown Figure 8 as shown).

[0092] To sum up, with the help of the above-mentioned technical scheme of the present invention, the idling angle and direction of the wind turbine bearing can be accurately calculated through the idling angle and direction calculation unit, thereby effectively solving the problem of lack of idling trajectory status monitoring of wind turbine bearings in the current wind power field, and then the health status of the wind turbine bearing can be evaluated, and the loosening, fatigue and other faults of the bearing caused by environmental effects can be discovered in time, and preventive maintenance measures can be taken to provide scientific and reasonable support for the subsequent safety maintenance plan of the wind turbine. Through the black and white signal bands, the rotation angle of the wind turbine bearing idling can be accurately calculated, and the electrical signal data set can be collected in real time and synchronously through the acquisition instrument, and the electrical signal data set is integrated into a square wave signal, so that the wind turbine bearing idling trajectory monitoring system has good robustness and stability, and the monitoring system is simple in design, does not require tedious calculation and analysis, and has low implementation difficulty and complexity, which provides data basis for the operation and maintenance optimization of wind turbines, and provides guidance and suggestions for the safe operation and maintenance and risk investigation of wind turbines.

[0093] In the present invention, unless otherwise clearly stipulated and limited, the terms such as "installation", "setting", "connection", "fixation" and "screw-on" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral one; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be the internal connection of two elements or the interaction relationship between two elements. Unless otherwise clearly defined, ordinary technicians in this field can understand the specific meanings of the above terms in the present invention according to the specific circumstances.

[0094] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for monitoring the idling trajectory of lightweight wind turbine bearings, characterized in that: include: S1. Based on the black and white signal bands pre-arranged on the wind turbine bearings, the reflected light signals generated by the idling of the wind turbine bearings are collected in real time, and the reflected light signals are converted into square wave signals; S2. Obtain the total number of signals according to the square wave signal, calculate the idling angle of the wind turbine bearing, and determine the idling direction of the wind turbine bearing according to the timing and period of the square wave signal; The S2 includes: S21, obtaining the total number of level signals 1 and the total number of level signals 2 through the square wave signal, obtaining the total number of level signals according to the total number of level signals 1 and the total number of level signals 2, and calculating the idling angle of the wind turbine bearing using the number of sector blocks; S22, comparing the timing and period of the two black and white signals with square wave signals to determine the idling direction of the wind turbine bearing; The S22 includes: When the starting position of level signal 1 in the square wave signal of the first black and white signal band corresponds to the middle position of level signal 2 in the square wave signal of the second black and white signal band, the idling direction of the wind turbine bearing is the clockwise rotation direction; When the starting position of the level signal 2 in the square wave signal of the first black and white signal band corresponds to the middle position of the level signal 2 in the square wave signal of the second black and white signal band, the idling direction of the wind turbine bearing is the counterclockwise rotation direction; S3. Based on the idling angle and idling direction of the wind turbine bearing, the idling trajectory of the wind turbine bearing is monitored.

2. A method for monitoring the idling trajectory of a lightweight wind turbine bearing according to claim 1, characterized in that: The method of collecting the reflected light signal generated by the idling of the wind turbine bearing in real time based on the black and white signal bands pre-arranged on the wind turbine bearing and converting the reflected light signal into a square wave signal includes: S11, based on two black and white signal bands pre-arranged on the wind turbine bearing, using two laser sensors to respectively collect reflected light signals generated by the two black and white signal bands when the wind turbine bearing is idling, to obtain two reflected light signal data sets; S12, converting each reflected light signal data set into an electrical signal data set through a laser sensor; S13. Using a data acquisition instrument, the electrical signal data set is integrated into a square wave signal.

3. A method for monitoring the idling trajectory of a lightweight wind turbine bearing according to claim 2, characterized in that: The black and white signal belt is an annular belt surrounding the wind turbine bearing. n The colors of two adjacent fan-shaped blocks are black and white respectively; The second black-and-white signal band is obtained by rotating the first black-and-white signal band clockwise by half a sector-shaped block.

4. A method for monitoring the idling trajectory of a lightweight wind turbine bearing according to claim 3, characterized in that: The types of reflected light signals generated by two black and white signal bands when the wind turbine bearing is idling and collected by two laser sensors include: When the laser pulse is irradiated to the white sector block on the black and white signal band through the laser sensor, the reflected light generated by the white sector block is collected; When the laser pulse is irradiated to the black sector-shaped area on the black and white signal band through the laser sensor, the reflected light 2 generated by the black sector-shaped area is collected.

5. A method for monitoring the idling trajectory of a lightweight wind turbine bearing according to claim 4, characterized in that: The conversion rule of the reflected light signal data set into the electrical signal data set is: converting reflected light one into level signal one, and converting reflected light two into level signal two.

6. A method for monitoring the idling trajectory of a lightweight wind turbine bearing according to claim 5, characterized in that: The calculation formula of the idling angle of the wind turbine bearing is: ； In the formula, S represents the idling angle of the wind turbine bearing; m represents the total number of level signals; n Indicates the number of sector blocks.

7. A method for monitoring the idling trajectory of a lightweight wind turbine bearing according to claim 6, characterized in that: The idling direction of the wind power bearing includes: a clockwise rotation direction and a counterclockwise rotation direction.

8. A lightweight wind turbine bearing idling trajectory monitoring system, used to implement the lightweight wind turbine bearing idling trajectory monitoring method according to any one of claims 1 to 7, characterized in that: The system comprises: a signal acquisition unit, an idling angle and direction calculation unit and an idling trajectory generation unit; The signal acquisition unit is used to collect the reflected light signal generated by the idling of the wind turbine bearing in real time based on the black and white signal bands pre-arranged on the wind turbine bearing, and convert the reflected light signal into a square wave signal; The idling angle and direction calculation unit is used to obtain the total number of signals according to the square wave signal, calculate the idling angle of the wind turbine bearing, and determine the idling direction of the wind turbine bearing according to the timing and period of the square wave signal; The idling trajectory generating unit is used to monitor the idling trajectory of the wind turbine bearing based on the idling angle and idling direction of the wind turbine bearing.

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