Centering monitoring and adjusting method and system for wind driven generator shaft

Abstract

The invention relates to the technical field of wind driven generator monitoring, and particularly discloses a wind driven generator shaft centering monitoring adjusting method and system.The method comprises the steps that whether a soft foot problem exists in a wind driven generator or not is judged, the vibration state of the wind driven generator is analyzed, and whether vibration abnormity exists in the wind driven generator or not is judged; analyzing the thermal state of the wind driven generator, judging whether the wind driven generator has thermal abnormity or not, and determining a centering adjustment scheme of the wind driven generator shaft based on the centering adjustment characteristic model of the wind driven generator shaft in combination with the deviation condition of the generator shaft and the generator base. The problems that a traditional centering monitoring and adjusting method for the wind driven generator shaft is insufficient in automatic adjusting capacity, data processing and analyzing capacity and comprehensive adjusting capacity are solved, the risk of sudden shutdown or damage of equipment is reduced, valuable reference is provided for follow-up operation optimization of a wind driven generator, and the method is worthy of popularization and application. And the operation intelligence level of the whole system is improved.

Description

Technical Field

[0001] The invention relates to the technical field of wind turbine monitoring, and in particular to a method and system for monitoring and adjusting the centering of a wind turbine shaft. Background Art

[0002] The main shaft alignment accuracy of a wind turbine directly affects the operating stability of the entire generator set. If the shaft is eccentric or misaligned, it will lead to increased vibration and noise during operation, which will in turn affect the mechanical life and power generation efficiency of the wind turbine. Shaft misalignment will cause additional mechanical stress, which may cause early damage to the gearbox and bearings, thereby increasing maintenance costs and downtime. Wind turbines are usually installed in remote or offshore wind farms, and the inspection and maintenance costs are high. Preventive maintenance and early fault detection are particularly important. Through shaft alignment monitoring and adjustment, potential mechanical problems can be identified and resolved before problems occur, reducing maintenance costs and downtime risks. The design life of a wind turbine is generally 20 to 25 years. During this period, the alignment of the shaft is directly related to the health of the equipment. If the shaft alignment can be effectively monitored and adjusted, the service life of the equipment can be extended and long-term efficient and safe operation can be ensured.

[0003] For example, the invention patent with announcement number CN114109741B discloses a wind turbine shaft alignment monitoring system and method, including a monitoring device, a cabin control cabinet and a tower base control cabinet, the monitoring device includes an upper mounting frame and a lower mounting frame, the upper mounting frame includes a crossbeam, the two ends of the crossbeam are fixed to the bottom of the generator through F-type clamps, an inclinometer is installed on the crossbeam, the lower mounting frame includes a base frame, the base frame is fixed to the generator base through G-type clamps, a draw wire sensor connected to the crossbeam is arranged at the position directly below the base frame corresponding to the crossbeam, a bracket is arranged on the base frame, and two draw wire sensors connected to the crossbeam are arranged at the same height of the bracket and the crossbeam, the inclinometer and each draw wire sensor communicate with the cabin control cabinet, the cabin control cabinet monitors the generator shaft alignment state according to the detection information of the inclinometer and each draw wire sensor, and transmits the monitoring result to the tower base control cabinet. The invention is easy to install, has a wide range of application, and has accurate monitoring results.

[0004] At present, there are still some deficiencies in the research on the alignment and adjustment of wind turbine shafts, which are specifically reflected in the fact that the traditional wind turbine shaft alignment monitoring and adjustment method has insufficient automated adjustment capabilities, and insufficient data processing and analysis capabilities and comprehensive adjustment capabilities. The insufficient automated adjustment capabilities mean that the alignment and adjustment still require a lot of manual intervention. Frequent manual adjustments not only increase the workload of operation and maintenance personnel, but also lead to increased maintenance costs. Each alignment adjustment process usually requires shutdown operations, which in turn affects power generation efficiency and economic benefits. Insufficient data processing and analysis capabilities make it impossible for the system to identify potential problems or predict failures in advance, which may lead to more serious mechanical failures and require more complex and expensive repair work. The lack of automated adjustment capabilities makes it impossible for wind turbines to quickly adjust themselves when shaft misalignment problems are found. Usually, they need to be shut down for manual correction, which not only wastes time, but also directly reduces the power generation time of wind turbines and reduces the overall power generation. Summary of the invention

[0005] In view of the deficiencies in the prior art, the present invention provides a method and system for monitoring and adjusting the centering of a wind turbine shaft, which can effectively solve the problems involved in the above-mentioned background technology.

[0006] To achieve the above objectives, the present invention is implemented through the following technical solutions: In a first aspect, the present invention provides a method for monitoring and adjusting the centering of a wind turbine shaft, comprising the following steps: analyzing the soft foot state of the wind turbine to determine whether the wind turbine has a soft foot problem; analyzing the vibration state of the wind turbine that does not have a soft foot problem to determine whether the wind turbine has a vibration abnormality; analyzing the thermal state of the wind turbine that does not have a soft foot problem to determine whether the wind turbine has a thermal abnormality; for wind turbines with vibration abnormalities or thermal abnormalities, determining the centering adjustment scheme for the wind turbine shaft based on the centering adjustment characteristic model of the wind turbine shaft and in combination with the deviation between the generator shaft and the generator base.

[0007] As a further method, it is determined whether the wind turbine has a soft foot problem. The specific analysis process is: obtaining a wind turbine soft foot state data set, and based on the obtained wind turbine soft foot state data set, comprehensively analyzing to obtain a wind turbine soft foot state evaluation value, and using the wind turbine soft foot state evaluation value as an analysis basis for determining whether the wind turbine has a soft foot problem; comparing the wind turbine soft foot state evaluation value with a wind turbine soft foot state reference evaluation value stored in a database; if the wind turbine soft foot state evaluation value is higher than or equal to the wind turbine soft foot state reference evaluation value, then the wind turbine corresponding to the wind turbine soft foot state evaluation value does not have a soft foot problem; if the wind turbine soft foot state evaluation value is lower than the wind generator soft foot state reference evaluation value, then the wind turbine corresponding to the wind turbine soft foot state evaluation value has a soft foot problem.

[0008] As a further method, a wind turbine soft foot state data set specifically includes the number of times the gap between the wind turbine foot and the mounting base exceeds a defined gap, the maximum gap between the wind turbine foot and the mounting base, and the dust thickness under the wind turbine foot.

[0009] As a further method, it is determined whether there is abnormal vibration in the wind turbine. The specific analysis process is as follows: obtaining a wind turbine vibration state data set, the wind turbine vibration state data set specifically including the wind turbine vibration frequency, the decibel value of the noise generated by the wind turbine vibration, and the wind turbine vibration amplitude; based on the obtained wind turbine vibration state data set, a comprehensive analysis is performed to obtain a wind turbine vibration state evaluation value, and the wind turbine vibration state evaluation value is used as an analysis basis for determining whether there is abnormal vibration in the wind turbine; the wind turbine vibration state evaluation value is compared with a wind turbine vibration state reference evaluation value stored in a database; if the wind turbine vibration state evaluation value is higher than or equal to the wind turbine vibration state reference evaluation value, then the wind turbine corresponding to the wind turbine vibration state evaluation value does not have abnormal vibration; if the wind turbine vibration state evaluation value is lower than the wind turbine vibration state reference evaluation value, then the wind turbine corresponding to the wind turbine vibration state evaluation value has abnormal vibration.

[0010] As a further method, the vibration state evaluation value of the wind turbine generator is analyzed as follows: ; In the formula, is the wind turbine vibration status assessment value, is the vibration frequency of the wind turbine, The decibel value of the noise generated by the vibration of the wind turbine. is the vibration amplitude of the wind turbine, is the compensation factor of the set wind turbine vibration frequency, The compensation factor for the noise decibel value generated by the vibration of the wind turbine is set. is the compensation factor of the set wind turbine vibration amplitude, and e is a natural constant.

[0011] As a further method, it is determined whether the wind turbine has thermal anomaly. The specific analysis process is as follows: obtaining a thermal state data set of the wind turbine, and based on the obtained thermal state data set of the wind turbine, comprehensively analyzing to obtain a thermal state evaluation value of the wind turbine. The thermal state evaluation value of the wind turbine is used as an analysis basis for determining whether the wind turbine has thermal anomaly. The specific analysis process of the thermal status assessment value of the wind turbine is as follows: ; In the formula, is the thermal status assessment value of the wind turbine, is the absolute value of the difference between the wind turbine casing temperature and the reference casing temperature, is the absolute value of the difference between the wind turbine transformer temperature and the reference transformer temperature, is the absolute value of the difference between the wind turbine gearbox temperature and the reference gearbox temperature, is the compensation factor of the absolute value of the difference between the set wind turbine casing temperature and the reference casing temperature, is the compensation factor for the absolute value of the difference between the set wind turbine transformer temperature and the reference transformer temperature, is the compensation factor for the absolute value of the difference between the set wind turbine gearbox temperature and the reference gearbox temperature; The thermal state assessment value of the wind turbine is compared with the thermal state reference assessment value of the wind turbine; if the thermal state assessment value of the wind turbine is higher than or equal to the thermal state reference assessment value of the wind turbine, then the wind turbine corresponding to the thermal state assessment value of the wind turbine does not have a thermal anomaly; if the thermal state assessment value of the wind turbine is lower than the thermal state reference assessment value of the wind turbine, then the wind turbine corresponding to the thermal state assessment value of the wind turbine has a thermal anomaly.

[0012] As a further method, the wind turbine thermal state data set specifically includes the absolute value of the difference between the wind turbine casing temperature and the reference casing temperature, the absolute value of the difference between the wind turbine transformer temperature and the reference transformer temperature, and the absolute value of the difference between the wind turbine gearbox temperature and the reference gearbox temperature.

[0013] As a further method, based on the centering adjustment characteristic model of the wind turbine shaft and in combination with the deviation between the generator shaft and the generator base, the centering adjustment scheme of the wind turbine shaft is determined. The specific analysis process is as follows: for wind turbines with abnormal vibration or thermal anomalies, the wind turbine vibration state assessment value and the wind turbine thermal state assessment value are introduced into the centering adjustment characteristic model of the wind turbine shaft, and the centering adjustment characteristic value of the wind turbine shaft is obtained through comprehensive analysis. The centering adjustment characteristic value of the wind turbine shaft is used as the analysis basis for determining the centering adjustment scheme of the wind turbine shaft; the deviation between the generator shaft and the generator base is analyzed to obtain the deviation distance and the deviation angle between the generator shaft and the generator base; the centering adjustment characteristic value, the deviation distance and the deviation angle between the generator shaft and the generator base of the wind turbine shaft are stored as designated tags, and the designated tag is compared with the centering adjustment schemes of the wind turbine shaft corresponding to each designated tag stored in the database to obtain the centering adjustment scheme of the wind turbine shaft corresponding to the designated tag.

[0014] As a further method, the characteristic model of the wind turbine shaft alignment adjustment is analyzed in the following specific process: ; In the formula, is the characteristic value of the wind turbine shaft alignment adjustment, is the wind turbine vibration status assessment value, is the thermal status assessment value of the wind turbine, and e is a natural constant.

[0015] A second aspect of the present invention provides a wind turbine shaft alignment monitoring and adjustment system, comprising a soft foot problem judgment module, a vibration abnormality judgment module, a thermal abnormality judgment module and a shaft alignment adjustment scheme determination module, wherein: the soft foot problem judgment module is used to analyze the soft foot state of the wind turbine to determine whether the wind turbine has a soft foot problem; the vibration abnormality judgment module is used to analyze the vibration state of a wind turbine without a soft foot problem to determine whether the wind turbine has a vibration abnormality; the thermal abnormality judgment module is used to analyze the thermal state of a wind turbine without a soft foot problem to determine whether the wind turbine has a thermal abnormality; the shaft alignment adjustment scheme determination module is used to determine the wind turbine shaft alignment adjustment scheme for a wind turbine with vibration abnormalities or thermal abnormalities based on a wind turbine shaft alignment adjustment feature model and in combination with the deviation between the generator shaft and the generator base.

[0016] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects: (1) The present invention provides a method and system for monitoring and adjusting the centering of a wind turbine shaft. By checking the soft foot, vibration and thermal status in sequence, possible sources of faults can be gradually eliminated, the problem can be accurately located, and blind repairs can be avoided. The soft foot problem can be eliminated first to ensure the accuracy of subsequent analysis. Abnormal vibration and thermal anomalies are usually early signs of mechanical failure. Regular analysis of these conditions can provide early warnings before the problem evolves into a major failure, and preventive measures can be taken to reduce the risk of sudden shutdown or damage of the equipment. The comprehensive analysis capability based on data can also provide valuable reference for subsequent optimization of wind turbine operation and improve the intelligent operation level of the entire system.

[0017] (2) The present invention determines whether the wind turbine has a soft foot problem by analyzing the soft foot state of the wind turbine. First, the soft foot state of the wind turbine is analyzed to ensure the stability of the basic mechanical structure. The soft foot problem will cause the base to be unbalanced or the internal instability of the unit, thereby affecting the overall mechanical performance. If the wind turbine does not have a soft foot problem, further analysis of the vibration state and thermal state can help gradually screen possible fault sources, thereby improving the accuracy of diagnosis. The step-by-step analysis process helps to systematically troubleshoot faults and avoid missing any potential problems. By analyzing the soft foot state, the long-term safe operation of the equipment can be guaranteed.

[0018] (3) The present invention determines the alignment adjustment scheme for the wind turbine shaft based on the alignment adjustment characteristic model of the wind turbine shaft and the deviation between the generator shaft and the generator base for wind turbines with abnormal vibration or thermal anomalies. The alignment adjustment characteristic model can accurately identify potential alignment problems that cause anomalies according to the specific vibration and thermal anomalies of the wind turbine. Targeted diagnosis helps to formulate more accurate adjustment schemes, avoid blind adjustments, and improve the efficiency of problem solving. Abnormal vibration and thermal anomalies can lead to reduced efficiency of wind turbines. By optimizing the alignment state of the shaft, these abnormal phenomena can be reduced, and the efficiency of converting wind energy into electrical energy can be improved, thereby increasing power generation. The alignment adjustment scheme based on the characteristic model can achieve a higher level of intelligent and automated adjustment and reduce the need for manual intervention. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0020] Figure 1 The figure is a schematic flow chart of the method steps of the present invention.

[0021] Figure 2 It is a schematic diagram of system module connection of the present invention. DETAILED DESCRIPTION

[0022] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0023] Reference Figure 1 As shown, the first aspect of the present invention provides a method for monitoring and adjusting the centering of a wind turbine shaft, comprising: analyzing the soft foot state of the wind turbine to determine whether the wind turbine has a soft foot problem.

[0024] Specifically, to determine whether a wind turbine has a soft foot problem, the specific analysis process is: obtain a wind turbine soft foot status data set, based on the obtained wind turbine soft foot status data set, comprehensively analyze to obtain a wind turbine soft foot status assessment value, the wind generator soft foot status assessment value is used as an analysis basis for determining whether the wind turbine has a soft foot problem; compare the wind turbine soft foot status assessment value with a wind turbine soft foot status reference assessment value stored in a database; if the wind turbine soft foot status assessment value is higher than or equal to the wind turbine soft foot status reference assessment value, then the wind turbine corresponding to the wind turbine soft foot status assessment value does not have a soft foot problem; if the wind generator soft foot status assessment value is lower than the wind generator soft foot status reference assessment value, then the wind turbine corresponding to the wind generator soft foot status assessment value has a soft foot problem, and a re-leveling need warning is issued to the supervisor.

[0025] It needs to be explained that the above-mentioned monitoring and evaluation of the soft foot status of wind turbines can detect possible soft foot problems early and take measures in advance to avoid further deterioration of the problem. Early warning helps prevent equipment failure and shutdown due to soft foot problems. Re-leveling can ensure that the foundation and structure of the wind turbine are in the best condition, reduce unnecessary vibration and stress concentration, thereby improving the operating stability and efficiency of the wind turbine. Timely handling of soft foot problems can reduce fatigue damage to equipment and reduce the frequency of failures, thereby extending the service life of wind turbines and reducing maintenance and replacement costs. The early warning system detects and handles problems in a timely manner, which can avoid the accumulation of problems to the point where larger-scale repairs or replacements are required, reducing long-term maintenance costs and labor costs. Soft foot problems may cause unexpected failures of wind turbines under high load or severe weather conditions, posing a safety hazard. The early warning mechanism can help ensure that the wind turbine operates in good condition and improve overall safety. The data-driven early warning mechanism can arrange maintenance work more accurately, reduce unnecessary shutdowns and on-site inspections, and improve the work efficiency and resource utilization of operation and maintenance personnel.

[0026] Furthermore, the soft foot status data set of wind turbine generator specifically includes the number of times the gap between the wind turbine support foot and the mounting base exceeds the defined gap, the maximum gap between the wind turbine support foot and the mounting base, and the dust thickness under the wind turbine support foot. The number of times the gap between the wind turbine support foot and the mounting base exceeds the defined gap refers to the number of gaps between the wind turbine support foot and the mounting base that exceed the predetermined standard, that is, some parts between the support foot and the base are not fully in contact, forming a gap that exceeds the allowable range. A laser rangefinder is used to measure the gap between the support foot and the base, and the gap is compared with the defined gap to obtain the number of times the gap between the wind turbine support foot and the mounting base exceeds the defined gap. The maximum gap between the wind turbine feet and the mounting base refers to the maximum gap between the wind turbine feet and the mounting base among all the measuring points, which can indicate the severity of potential soft feet. Use a laser rangefinder, thickness gauge or gap measurement sensor to obtain the data of each gap through multi-point measurement to determine the maximum gap. The dust thickness under the wind turbine feet refers to the thickness of dust accumulated under the wind turbine feet. Excessive dust may cause poor contact, further affecting the balance and stability of the equipment, and even causing soft foot problems. Use ultrasonic sensors or optical measuring equipment to measure the thickness of dust. Handheld thickness gauges can also be used to detect the thickness of the dust layer during regular maintenance.

[0027] In a specific embodiment, there are gaps exceeding the allowable range at multiple locations between the feet of the wind turbine and the mounting base, indicating poor contact between the feet and the base. This poor contact may cause uneven stress and vibration during operation of the wind turbine, thereby exacerbating the soft foot problem. The maximum gap is the most serious point where the gap exceeds the defined amount. Generally, the larger the maximum gap, the more serious the contact problem between the feet and the base, which may cause greater structural stress concentration and vibration problems. The maximum gap is also usually a key indicator for judging the severity of the soft foot problem. The accumulation of dust under the feet will increase the actual gap, especially in areas where the contact is already poor. Dust may further expand the gap, causing more locations to exceed the defined gap standard, or making the maximum gap even larger. If the gaps at multiple foot locations exceed the standard, it often means that there are systemic problems with the foundation installation of the wind turbine, and the maximum gap is the most serious manifestation of the problem.

[0028] It should be explained that the above-mentioned wind turbine soft foot status assessment value is specifically analyzed as follows: ; In the formula, is the soft foot status assessment value of the wind turbine, The gap between the wind turbine support and the mounting base exceeds the defined gap amount. The maximum gap between the wind turbine support and the mounting base. is the dust thickness under the wind turbine legs, The compensation factor for the clearance between the wind turbine support and the mounting base exceeding the defined clearance amount, is the compensation factor for the maximum gap between the wind turbine support and the mounting base. is the compensation factor for the dust thickness under the wind turbine feet.

[0029] It should be explained that the above-mentioned wind turbine soft foot status assessment value is calculated by the number of gaps between the wind turbine foot and the mounting base exceeding the defined gap number, the maximum gap between the wind turbine foot and the mounting base, and the dust thickness under the wind turbine foot. The number of gaps between the wind turbine foot and the mounting base exceeding the defined gap number, the maximum gap between the wind turbine foot and the mounting base, and the dust thickness under the wind turbine foot are normalized. Combined with multiple key parameters (number of gaps, maximum gap, dust thickness), the soft foot status assessment value can comprehensively reflect the overall health status of the wind turbine foot and the mounting base, and can more accurately identify potential soft foot problems instead of relying on a single indicator. The number of gaps, maximum gap and dust thickness each reflect different aspects of installation and maintenance problems. By comprehensively calculating the soft foot status assessment value obtained from these data, the contact between the foot and the base can be judged more accurately, reducing the possibility of misjudgment, thereby improving the accuracy of diagnosis. The soft foot status assessment value can be used as a basis for maintenance decisions, helping the operation and maintenance team to give priority to those wind turbines with poor assessment values, which can optimize resource allocation, reduce unnecessary inspection and maintenance costs, and improve operation and maintenance efficiency.

[0030] , , The compensation factors corresponding to the clearance between the wind turbine support foot and the mounting base exceeding the defined clearance number, the maximum clearance between the wind turbine support foot and the mounting base, and the dust thickness under the wind turbine support foot preset in the database represent the numerical value of the influence of the clearance between the wind turbine support foot and the mounting base exceeding the defined clearance number, the maximum clearance between the wind turbine support foot and the mounting base, and the dust thickness under the wind turbine support foot on the soft foot state assessment value of the wind turbine. When used, the compensation factors corresponding to the clearance between the wind turbine support foot and the mounting base exceeding the defined clearance number, the maximum clearance between the wind turbine support foot and the mounting base, and the dust thickness under the wind turbine support foot can be directly obtained from the database. The corresponding relationship can be a preset mapping relationship, in which the mapping relationship can be a one-to-one correspondence or a many-to-one relationship. For example, the clearance between the wind turbine support foot and the mounting base exceeding the defined clearance number and the clearance between the wind turbine support foot and the mounting base A mapping set is formed by the compensation factor for the gap exceeding the defined number. The real-time gap between the wind turbine foot and the mounting base exceeding the defined number is input into the mapping set to obtain the compensation factor for the gap between the wind turbine foot and the mounting base exceeding the defined number. In this example, the compensation factor has a value range of 0 to 1. For example, a mapping set is formed by the maximum gap between the wind turbine foot and the mounting base and the compensation factor for the maximum gap between the wind turbine foot and the mounting base. The real-time maximum gap between the wind turbine foot and the mounting base is input into the mapping set to obtain the compensation factor for the maximum gap between the wind turbine foot and the mounting base. In this example, the compensation factor has a value range of 0 to 1. For example, a mapping set is formed by the dust thickness under the wind turbine foot and the compensation factor for the dust thickness under the wind turbine foot. The real-time dust thickness under the wind turbine foot is input into the mapping set to obtain the compensation factor for the dust thickness under the wind turbine foot. In this example, the compensation factor has a value range of 0 to 1.

[0031] It needs to be explained that the above analysis of the soft foot state of the wind turbine is used to determine whether the wind turbine has a soft foot problem. First, analyzing the soft foot state of the wind turbine can ensure the stability of the basic mechanical structure. The soft foot problem will cause an imbalance in the base or internal instability of the unit, thereby affecting the overall mechanical performance. If the wind turbine does not have a soft foot problem, further analysis of the vibration state and thermal state can help gradually screen possible sources of faults, thereby improving the accuracy of diagnosis. The step-by-step analysis process helps to systematically troubleshoot faults and avoid missing any potential problems. By analyzing the soft foot state, the long-term safe operation of the equipment can be guaranteed.

[0032] The vibration state of the wind turbine without soft foot problem is analyzed to determine whether the wind turbine has abnormal vibration.

[0033] Specifically, to determine whether a wind turbine has abnormal vibration, the specific analysis process is as follows: obtain a wind turbine vibration state data set, the wind turbine vibration state data set specifically includes the wind turbine vibration frequency, the decibel value of the noise generated by the wind turbine vibration, and the wind turbine vibration amplitude; based on the obtained wind turbine vibration state data set, a comprehensive analysis is performed to obtain a wind turbine vibration state evaluation value, and the wind turbine vibration state evaluation value is used as an analysis basis for determining whether the wind turbine has abnormal vibration; the wind turbine vibration state evaluation value is compared with a wind turbine vibration state reference evaluation value stored in a database; if the wind turbine vibration state evaluation value is higher than or equal to the wind turbine vibration state reference evaluation value, then the wind turbine corresponding to the wind turbine vibration state evaluation value does not have abnormal vibration; if the wind turbine vibration state evaluation value is lower than the wind turbine vibration state reference evaluation value, then the wind turbine corresponding to the wind turbine vibration state evaluation value has abnormal vibration, and a vibration abnormality alarm is issued for the wind turbine with abnormal vibration.

[0034] It should be explained that the above vibration frequency refers to the number of periodic changes in the vibration of the wind turbine during operation, usually in Hertz (Hz). Different vibration frequencies can reflect different types of mechanical problems. The vibration frequency is usually obtained through a vibration sensor. The noise decibel value refers to the sound intensity generated by the vibration of the wind turbine during operation, usually in decibels (dB). The noise decibel value can be obtained through a sound level meter or a noise monitor. The vibration amplitude refers to the displacement of the wind turbine during operation, usually in millimeters (mm) or micrometers (µm). The magnitude of the vibration amplitude reflects the intensity of the vibration. Excessive amplitude may cause fatigue damage or For other mechanical faults, the vibration amplitude is also obtained through vibration sensors. High-frequency vibrations may be accompanied by smaller vibration amplitudes (such as gear meshing problems or bearing failures), while low-frequency vibrations may have larger amplitudes (such as structural resonance or imbalance). Changes in vibration frequency may cause changes in vibration amplitude, depending on the type and severity of the fault. Certain mechanical problems of wind turbines, such as bearing wear or gearbox failure, may cause high-frequency vibrations and corresponding high-frequency noise. If the vibration frequency is high and the vibration amplitude is significant, the noise generated will usually be greater. The noise decibel value can indirectly reflect the vibration frequency, especially in high-frequency cases. The larger the vibration amplitude, the greater the noise generated.

[0035] It needs to be explained that the above-mentioned vibration abnormalities are usually early signals of problems with the mechanical components of wind turbines. For example, shaft misalignment, loose structure and other problems will lead to increased vibration. By issuing alarms in time, small problems can be avoided from evolving into larger equipment failures, damage or shutdown of the unit can be prevented, and the safe operation of the equipment can be ensured. Abnormal vibration may lead to decreased power generation efficiency, increased energy consumption and long-term fatigue of the wind turbine. By discovering and handling vibration abnormalities in advance, the wind turbine can be kept in the best working condition, improving power generation efficiency and economic benefits. Early identification and handling of vibration problems can avoid premature damage to equipment, reduce maintenance frequency and the cost of replacing parts. Issuing alarms in advance helps preventive maintenance. Abnormal vibration can cause excessive wear on key components of wind turbines (such as bearings, gearboxes, blades, etc.), affecting their lifespan. Timely vibration abnormality alarms can reduce component fatigue and extend the overall service life of the wind turbine. The alarm system can help the operation and maintenance team to dispatch resources more effectively, prioritize inspections and maintenance of wind turbines with specific problems, avoid blind shutdowns and inspections, and optimize maintenance workflows.

[0036] Furthermore, the specific analysis process of the wind turbine vibration state evaluation value is as follows: ; In the formula, is the wind turbine vibration status assessment value, is the vibration frequency of the wind turbine, The decibel value of the noise generated by the vibration of the wind turbine. is the vibration amplitude of the wind turbine, is the compensation factor of the set wind turbine vibration frequency, The compensation factor for the noise decibel value generated by the vibration of the wind turbine is set. is the compensation factor of the set wind turbine vibration amplitude, and e is a natural constant.

[0037] It needs to be explained that the above-mentioned wind turbine vibration state assessment value is calculated through the vibration frequency of the wind turbine, the decibel value of the noise generated by the vibration of the wind turbine, and the vibration amplitude of the wind turbine. The vibration frequency of the wind turbine, the decibel value of the noise generated by the vibration of the wind turbine, and the vibration amplitude of the wind turbine are normalized. Combining the vibration frequency, noise decibel value and vibration amplitude, the operating state of the wind turbine can be comprehensively assessed. Multi-dimensional analysis can provide a more comprehensive equipment health status, thereby more accurately identifying potential mechanical problems. The vibration frequency, noise decibel value and vibration amplitude each reflect different operating states. The vibration state assessment value calculated based on these data can more accurately judge the abnormal state of mechanical components, such as bearing wear, structural looseness or imbalance, thereby improving the accuracy of fault diagnosis. The vibration state assessment value can serve as an important reference for maintenance decisions.

[0038] , , The compensation factors corresponding to the wind turbine vibration frequency, decibel value of noise generated by wind turbine vibration, and vibration amplitude of wind turbine preset in the database represent the numerical value of the influence of the wind turbine vibration frequency, decibel value of noise generated by wind turbine vibration, and vibration amplitude of wind turbine on the vibration state assessment value of wind turbine. When used, the compensation factors corresponding to the wind turbine vibration frequency, decibel value of noise generated by wind turbine vibration, and vibration amplitude of wind turbine can be directly obtained from the database. The corresponding relationship can be a preset mapping relationship, in which the mapping relationship can be one-to-one or many-to-one. For example, the wind turbine vibration frequency and the compensation factor of the wind turbine vibration frequency form a mapping set. , the real-time wind turbine vibration frequency is input into the mapping set to obtain the compensation factor of the wind turbine vibration frequency, and its value range in this example is between 0 and 1; for example, the decibel value of the noise generated by the wind turbine vibration and the compensation factor of the decibel value of the noise generated by the wind turbine vibration form a mapping set, and the real-time decibel value of the noise generated by the wind turbine vibration is input into the mapping set to obtain the compensation factor of the decibel value of the noise generated by the wind turbine vibration, and its value range in this example is between 0 and 1; for example, the wind turbine vibration amplitude and the compensation factor of the wind turbine vibration amplitude form a mapping set, and the real-time wind turbine vibration amplitude is input into the mapping set to obtain the compensation factor of the wind turbine vibration amplitude, and its value range in this example is between 0 and 1.

[0039] The thermal status of wind turbines without soft foot problems is analyzed to determine whether there is thermal anomaly in the wind turbines.

[0040] Specifically, to determine whether a wind turbine has a thermal anomaly, the specific analysis process is as follows: obtain a wind turbine thermal state data set, and based on the obtained wind turbine thermal state data set, obtain a wind turbine thermal state assessment value through comprehensive analysis, and use the wind turbine thermal state assessment value as an analysis basis for determining whether the wind turbine has a thermal anomaly; compare the wind turbine thermal state assessment value with a wind turbine thermal state reference assessment value; if the wind turbine thermal state assessment value is higher than or equal to the wind turbine thermal state reference assessment value, then the wind turbine corresponding to the wind turbine thermal state assessment value does not have a thermal anomaly; if the wind turbine thermal state assessment value is lower than the wind turbine thermal state reference assessment value, then the wind turbine corresponding to the wind turbine thermal state assessment value has a thermal anomaly, and a thermal anomaly alarm is issued for the wind turbine with the thermal anomaly.

[0041] It needs to be explained that the above-mentioned thermal anomalies are usually early signals of problems with mechanical components of wind turbines. For example, shaft misalignment problems can cause thermal anomalies in wind turbines, which are signs of overheating of internal components of wind turbines such as generators, gearboxes, bearings or cables. Overheating may cause insulation damage, mechanical deformation, lubricant deterioration and other problems, and ultimately may lead to equipment failure. Timely thermal anomaly alarms can prevent these failures and avoid serious equipment damage. Thermal anomalies usually accelerate the aging and wear of equipment, leading to more frequent maintenance and replacement of parts. Timely thermal anomaly alarms can help intervene before the problem worsens, thereby reducing maintenance frequency and related costs and extending the service life of equipment. Through thermal anomaly alarms, the operation and maintenance team can dispatch resources more effectively, give priority to equipment with thermal anomalies, reduce unnecessary downtime and on-site inspections, and improve the pertinence and efficiency of maintenance work.

[0042] Furthermore, the wind turbine thermal state data set specifically includes the absolute value of the difference between the wind turbine casing temperature and the reference casing temperature, the absolute value of the difference between the wind turbine transformer temperature and the reference transformer temperature, and the absolute value of the difference between the wind turbine gearbox temperature and the reference gearbox temperature.

[0043] In a specific embodiment, the absolute value of the difference between the wind turbine casing temperature and the reference casing temperature refers to the absolute value of the temperature difference between the current temperature of the wind turbine casing and the predetermined normal reference temperature, which is used to determine whether the temperature of the fan casing is within the normal range. An excessively large temperature difference may indicate that the heat source inside the fan (such as a generator or other components) is operating abnormally, resulting in an increase in the casing temperature. The casing temperature is usually obtained through an infrared temperature sensor or a thermocouple. The absolute value of the difference between the wind turbine transformer temperature and the reference transformer temperature refers to the absolute value of the temperature difference between the current temperature of the wind turbine transformer and the reference temperature. The temperature abnormality of the transformer may indicate excessive load, cooling system failure or other electrical failure. The difference can help determine whether the transformer is within a safe operating temperature range. The transformer temperature is obtained through a built-in temperature sensor (such as a thermal resistor or a thermocouple). The absolute value of the difference between the wind turbine gearbox temperature and the reference gearbox temperature refers to the absolute value of the temperature difference between the current temperature of the wind turbine gearbox and the reference temperature. The gearbox temperature abnormality may be caused by insufficient lubrication, increased mechanical friction or other mechanical problems. The difference is used to evaluate whether the gearbox is operating within the normal temperature range. The gearbox temperature is usually obtained through an embedded temperature sensor or a thermocouple.

[0044] It needs to be explained that when the shaft of the wind turbine is poorly aligned, the transmission components between the gearbox and the generator will be subjected to uneven stress, which will increase mechanical friction and cause local overheating. This overheating phenomenon can be reflected in the increase in the temperature of the gearbox and the casing. If the shaft is poorly aligned, the absolute value of the difference between the gearbox temperature and the reference temperature may increase, because the bearings and gears will generate more heat due to the additional lateral force. As the heat accumulates, this temperature increase may affect the casing temperature through conduction. Mechanical overheating caused by poor shaft alignment usually propagates to the casing of the wind turbine, especially under high speed and heavy load conditions. The abnormal increase in casing temperature (that is, the absolute value of the casing temperature difference becomes larger) may be an indirect signal of the shaft alignment problem. The abnormal increase in transformer temperature may also be caused by factors such as increased overall system load and reduced cooling efficiency. These problems may be indirectly related to mechanical problems caused by poor shaft alignment.

[0045] It should be explained that the specific analysis process of the above wind turbine thermal status assessment value is as follows: ; In the formula, is the thermal status assessment value of the wind turbine, is the absolute value of the difference between the wind turbine casing temperature and the reference casing temperature, is the absolute value of the difference between the wind turbine transformer temperature and the reference transformer temperature, is the absolute value of the difference between the wind turbine gearbox temperature and the reference gearbox temperature, is the compensation factor of the absolute value of the difference between the set wind turbine casing temperature and the reference casing temperature, is the compensation factor for the absolute value of the difference between the set wind turbine transformer temperature and the reference transformer temperature, It is the compensation factor of the absolute value of the difference between the set wind turbine gearbox temperature and the reference gearbox temperature.

[0046] It needs to be explained that the above-mentioned thermal status assessment value of the wind turbine is calculated by the absolute value of the difference between the wind turbine casing temperature and the reference casing temperature, the absolute value of the difference between the wind turbine transformer temperature and the reference transformer temperature, and the absolute value of the difference between the wind turbine gearbox temperature and the reference gearbox temperature. The absolute value of the difference between the wind turbine casing temperature and the reference casing temperature, the absolute value of the difference between the wind turbine transformer temperature and the reference transformer temperature, and the absolute value of the difference between the wind turbine gearbox temperature and the reference gearbox temperature are normalized. Combined with the temperature difference of the casing, transformer and gearbox, the thermal status of different key components of the wind turbine can be fully reflected, and the thermal load condition of the entire wind turbine can be more accurately judged, rather than relying solely on the temperature data of a single component. Slight changes in temperature may be an early signal of potential equipment failure. Regular calculation and monitoring of thermal status assessment values ​​can detect thermal anomalies before the problem worsens, and take preventive measures to prevent failures. Thermal status assessment values ​​can serve as an important basis for formulating maintenance plans.

[0047] , , The compensation factors corresponding to the absolute value of the difference between the wind turbine casing temperature and the reference casing temperature, the absolute value of the difference between the wind turbine transformer temperature and the reference transformer temperature, and the absolute value of the difference between the wind turbine gearbox temperature and the reference gearbox temperature preset in the database represent the numerical value of the influence of the absolute value of the difference between the wind turbine casing temperature and the reference casing temperature, the absolute value of the difference between the wind turbine transformer temperature and the reference transformer temperature, and the absolute value of the difference between the wind turbine gearbox temperature and the reference gearbox temperature on the thermal state assessment value of the wind turbine. When used, the compensation factors corresponding to the absolute value of the difference between the wind turbine casing temperature and the reference casing temperature, the absolute value of the difference between the wind turbine transformer temperature and the reference transformer temperature, and the absolute value of the difference between the wind turbine gearbox temperature and the reference gearbox temperature can be directly obtained from the database. The corresponding relationship can be a preset mapping relationship, in which the mapping relationship can be one-to-one or many-to-one. For example, the compensation factor corresponding to the absolute value of the difference between the wind turbine casing temperature and the reference casing temperature and the absolute value of the difference between the wind turbine casing temperature and the reference casing temperature is The absolute value of the difference between the real-time wind turbine shell temperature and the reference shell temperature is input into the mapping set to obtain the compensation factor of the absolute value of the difference between the wind turbine shell temperature and the reference shell temperature, and its value range in this example is between 0 and 1; for example, the absolute value of the difference between the wind turbine transformer temperature and the reference transformer temperature and the compensation factor of the absolute value of the difference between the wind turbine transformer temperature and the reference transformer temperature form a mapping set, and the absolute value of the difference between the real-time wind turbine transformer temperature and the reference transformer temperature is input into the mapping set to obtain the compensation factor of the absolute value of the difference between the wind turbine transformer temperature and the reference transformer temperature, and its value range in this example is between 0 and 1; for example, the absolute value of the difference between the wind turbine gearbox temperature and the reference gearbox temperature and the compensation factor of the absolute value of the difference between the wind turbine gearbox temperature and the reference gearbox temperature form a mapping set, and the absolute value of the difference between the real-time wind turbine gearbox temperature and the reference gearbox temperature is input into the mapping set to obtain the compensation factor of the absolute value of the difference between the wind turbine gearbox temperature and the reference gearbox temperature, and its value range in this example is between 0 and 1.

[0048] For wind turbines with abnormal vibration or thermal anomalies, the alignment adjustment scheme of the wind turbine shaft is determined based on the alignment adjustment characteristic model of the wind turbine shaft and combined with the deviation between the generator shaft and the generator base.

[0049] Specifically, based on the alignment adjustment characteristic model of the wind turbine shaft and in combination with the deviation between the generator shaft and the generator base, the alignment adjustment scheme of the wind turbine shaft is determined. The specific analysis process is: for wind turbines with abnormal vibration or thermal anomalies, the wind turbine vibration state assessment value and the wind turbine thermal state assessment value are introduced into the alignment adjustment characteristic model of the wind turbine shaft, and the alignment adjustment characteristic value of the wind turbine shaft is obtained through comprehensive analysis. The alignment adjustment characteristic value of the wind turbine shaft is used as the analysis basis for determining the alignment adjustment scheme of the wind turbine shaft; the deviation between the generator shaft and the generator base is analyzed to obtain the deviation between the generator shaft and the generator base. The centering adjustment characteristic value of the wind turbine shaft, the deviation distance between the generator shaft and the generator base, and the deviation angle between the generator shaft and the generator base are stored as designated tags, and the designated tag is compared with the centering adjustment schemes of the wind turbine shaft corresponding to each designated tag stored in the database to obtain the centering adjustment scheme of the wind turbine shaft corresponding to the designated tag, and after adjustment based on the centering adjustment scheme of the wind turbine shaft, the laser centering instrument or the mechanical centering tool is used again to measure to confirm whether the centering condition meets the standard. If it does not meet the standard, the steps of the centering monitoring and adjustment method of the wind turbine shaft are repeated.

[0050] It should be explained that the above deviation distance refers to the horizontal or vertical displacement difference between the generator shaft and the base on which it is installed. This is the distance difference between the shaft centerline and the base reference line, which can indicate whether the shaft and base are correctly aligned. If the deviation is too large, it may cause vibration, mechanical wear or other operating problems. Based on the laser alignment instrument, the deviation angle refers to the angular deviation between the generator shaft and the base, usually expressed in degrees or divisions. This is the angle between the centerline of the shaft and the horizontal plane of the base. A larger deviation angle indicates that there is a significant angular misalignment between the shaft and the base, which may cause torque imbalance and excessive bearing wear during operation. Based on the laser alignment The deviation distance mainly reflects the position offset of the shaft and the base in the translation direction, that is, the displacement difference of the axis centerline relative to the base reference line in the horizontal or vertical direction, indicating that there is a linear misalignment between the shaft and the base. The deviation angle reflects the angular misalignment between the shaft and the base, that is, the angle between the centerline of the shaft and the horizontal or vertical plane of the base, indicating that there may be angular errors in the installation of the shaft and the base. In the process of centering adjustment, the deviation distance and the deviation angle usually need to be considered and adjusted at the same time. If only the deviation distance is corrected and the deviation angle is ignored, there will still be angular misalignment between the shaft and the base, which will affect the overall operation effect.

[0051] It needs to be explained that the above-mentioned repeated alignment measurement and adjustment can ensure that the shaft system of the wind turbine is in the optimal position, avoid abnormal vibration and thermal problems caused by poor alignment, help the wind turbine to run smoothly, reduce mechanical stress, and extend the service life of the equipment. Alignment adjustment can reduce energy loss in the mechanical system and make power transmission more efficient. Accurate alignment can reduce friction and unnecessary loads, thereby improving the overall efficiency of the generator and improving the power generation performance of the wind turbine. Poor shaft alignment can cause premature wear and failure of mechanical components, increase maintenance and replacement costs, and through precise alignment adjustment, the frequency of mechanical failures can be reduced, equipment maintenance costs can be reduced, and economic losses caused by equipment downtime can be reduced. Ensuring the precise alignment of the wind turbine shaft can reduce component wear and fatigue stress, thereby extending the service life of the entire equipment and improving the long-term return on investment of the wind turbine. Through multiple alignment adjustments, combined with the analysis of vibration status and thermal status, potential causes of failure can be more accurately located. If the problem still exists after alignment, other possible causes of failure can be further analyzed and eliminated, thereby solving the problem more effectively.

[0052] It needs to be explained that the above-mentioned centering adjustment scheme of the wind turbine shaft is determined for wind turbines with abnormal vibration or thermal anomalies based on the centering adjustment characteristic model of the wind turbine shaft and combined with the deviation between the generator shaft and the generator base. The centering adjustment characteristic model can accurately identify the potential alignment problems that cause abnormalities according to the specific vibration and thermal anomalies of the wind turbine. Targeted diagnosis is helpful to formulate more accurate adjustment schemes, avoid blind adjustments, and improve the efficiency of problem solving. Abnormal vibration and thermal anomalies will lead to reduced efficiency of wind turbines. By optimizing the centering state of the shaft, these abnormal phenomena can be reduced, and the efficiency of converting wind energy into electrical energy can be improved, thereby increasing power generation. The centering adjustment scheme based on the characteristic model can achieve a higher level of intelligent and automated adjustment and reduce the need for manual intervention.

[0053] Furthermore, the characteristic model of the wind turbine shaft alignment adjustment has the following specific analysis process: ; In the formula, is the characteristic value of the wind turbine shaft alignment adjustment, is the wind turbine vibration status assessment value, is the thermal status assessment value of the wind turbine, and e is a natural constant.

[0054] In a specific embodiment, the centering adjustment characteristic value of the wind turbine shaft is calculated by the vibration state evaluation value and the thermal state evaluation value of the wind turbine. The combination of the vibration state and the thermal state evaluation value can fully reflect the operating condition of the wind turbine. The vibration state evaluation value usually reflects the balance and dynamic behavior of the mechanical system, while the thermal state evaluation value reflects the thermal load and cooling effect. Through the comprehensive analysis of the two, the problem of shaft alignment can be identified more accurately, avoiding the misjudgment that may be caused by relying on a single parameter. Vibration and thermal anomalies are usually direct manifestations of poor alignment. Incorporating these two state evaluation values ​​into the calculation can more accurately evaluate the actual deviation of the shaft system, thereby formulating a more accurate centering adjustment plan, which can reduce the number of repeated adjustments and improve the adjustment efficiency. Poor shaft alignment often leads to a series of mechanical problems. Problems such as excessive wear, fatigue damage and component failure can be identified and prevented earlier by considering vibration and thermal conditions, thus extending the service life of the equipment. Shaft alignment adjustment based on the comprehensive characteristic values ​​of vibration and thermal conditions can effectively reduce operational instability caused by poor alignment. This can not only reduce sudden failures caused by vibration or overheating, but also maintain long-term stable operation of the equipment. The calculated shaft alignment adjustment characteristic values ​​are recorded in the cloud or enterprise data center and integrated into the automation and digital operation and maintenance system of the cloud or enterprise data center. The monitoring system is integrated with the enterprise resource planning (ERP) system and the asset management system (AMS), automating work order generation, scheduling and resource allocation, supporting online monitoring and intelligent remote diagnosis, and achieving more efficient operation and maintenance processes and reducing the need for manual intervention.

[0055] Reference Figure 2 As shown, the second aspect of the present invention provides a wind turbine shaft alignment monitoring and adjustment system, including a soft foot problem judgment module, a vibration abnormality judgment module, a thermal abnormality judgment module and a shaft alignment adjustment scheme determination module.

[0056] The soft foot problem judgment module is used to analyze the soft foot state of the wind turbine and determine whether the wind turbine has a soft foot problem.

[0057] The vibration abnormality judgment module is used to analyze the vibration state of the wind turbine generator without the soft foot problem and judge whether the wind turbine generator has vibration abnormality.

[0058] The thermal anomaly judgment module is used to analyze the thermal state of the wind turbine generator without the soft foot problem and judge whether the wind turbine generator has thermal anomaly.

[0059] The module for determining the centering adjustment scheme of the shaft is used to determine the centering adjustment scheme of the wind turbine shaft for wind turbines with abnormal vibration or thermal anomalies based on the centering adjustment characteristic model of the wind turbine shaft and the deviation between the generator shaft and the generator base.

[0060] It needs to be explained that the above-mentioned method and system for monitoring and adjusting the centering of the wind turbine shaft are provided. By checking the soft foot, vibration and thermal conditions in turn, possible sources of faults can be gradually eliminated, the problem can be accurately located, and blind repairs can be avoided. The soft foot problem can be eliminated first to ensure the accuracy of subsequent analysis. Abnormal vibration and thermal anomalies are usually early signs of mechanical failure. Regular analysis of these conditions can provide early warnings before the problem evolves into a major failure, and preventive measures can be taken to reduce the risk of sudden shutdown or damage of equipment. The comprehensive analysis capability based on data can also provide valuable reference for subsequent wind turbine operation optimization and improve the level of intelligent operation of the entire system.

[0061] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the claims, they should all fall within the protection scope of the present invention.

Claims

1. A method for monitoring and adjusting the centering of a wind turbine shaft, characterized in that: The following steps are involved: Analyze the soft foot status of wind turbines to determine whether the wind turbines have soft foot problems; Analyze the vibration status of wind turbines that do not have soft foot problems to determine whether the wind turbines have abnormal vibrations; Analyze the thermal status of wind turbines that do not have soft foot problems to determine whether there are thermal anomalies in the wind turbines; For wind turbines with abnormal vibration or thermal anomalies, the alignment adjustment scheme of the wind turbine shaft is determined based on the alignment adjustment characteristic model of the wind turbine shaft and combined with the deviation between the generator shaft and the generator base.

2. A method for monitoring and adjusting the centering of a wind turbine shaft according to claim 1, characterized in that: The specific analysis process of judging whether a wind turbine has a soft foot problem is as follows: Acquire a wind turbine soft foot state data set, and obtain a wind turbine soft foot state assessment value based on the acquired wind turbine soft foot state data set through comprehensive analysis, and use the wind turbine soft foot state assessment value as an analysis basis for determining whether the wind turbine has a soft foot problem; comparing the wind turbine generator soft foot condition assessment value with the wind turbine generator soft foot condition reference assessment value stored in the database; If the wind turbine generator soft foot state assessment value is higher than or equal to the wind turbine generator soft foot state reference assessment value, then the wind turbine generator corresponding to the wind turbine generator soft foot state assessment value does not have a soft foot problem; If the wind turbine soft foot state assessment value is lower than the wind turbine soft foot state reference assessment value, then the wind turbine corresponding to the wind turbine soft foot state assessment value has a soft foot problem.

3. The method for monitoring and adjusting the centering of a wind turbine shaft according to claim 2, characterized in that: The wind turbine soft foot state data set specifically includes the number of times the gap between the wind turbine support foot and the mounting base exceeds the defined gap, the maximum gap between the wind turbine support foot and the mounting base, and the dust thickness under the wind turbine support foot.

4. The method for monitoring and adjusting the centering of a wind turbine shaft according to claim 1, characterized in that: The specific analysis process of judging whether the wind turbine has abnormal vibration is as follows: Acquire a wind turbine vibration state data set, wherein the wind turbine vibration state data set specifically includes the wind turbine vibration frequency, the decibel value of the noise generated by the wind turbine vibration, and the wind turbine vibration amplitude; Based on the acquired wind turbine vibration state data set, a comprehensive analysis is performed to obtain a wind turbine vibration state assessment value, which is used as an analysis basis for determining whether the wind turbine has vibration abnormalities. comparing the wind turbine generator vibration state assessment value with the wind turbine generator vibration state reference assessment value stored in the database; If the wind turbine generator vibration state assessment value is higher than or equal to the wind turbine generator vibration state reference assessment value, then the wind turbine generator corresponding to the wind turbine generator vibration state assessment value does not have vibration abnormality; If the wind turbine generator vibration state assessment value is lower than the wind turbine generator vibration state reference assessment value, then the wind turbine generator corresponding to the wind turbine generator vibration state assessment value has vibration abnormality.

5. A method for monitoring and adjusting the centering of a wind turbine shaft according to claim 4, characterized in that: The specific analysis process of the wind turbine vibration state evaluation value is as follows: ； In the formula, is the wind turbine vibration status assessment value, is the vibration frequency of the wind turbine, The decibel value of the noise generated by the vibration of the wind turbine. is the vibration amplitude of the wind turbine, is the compensation factor of the set wind turbine vibration frequency, The compensation factor for the noise decibel value generated by the vibration of the wind turbine is set. is the compensation factor of the set wind turbine vibration amplitude, and e is a natural constant.

6. The method for monitoring and adjusting the centering of a wind turbine shaft according to claim 1, characterized in that: The specific analysis process of judging whether the wind turbine has thermal anomaly is as follows: Acquire a wind turbine thermal state data set, and obtain a wind turbine thermal state evaluation value based on the acquired wind turbine thermal state data set through comprehensive analysis, and use the wind turbine thermal state evaluation value as an analysis basis for determining whether the wind turbine has thermal anomalies; The specific analysis process of the thermal status assessment value of the wind turbine is as follows: ； In the formula, is the thermal status assessment value of the wind turbine, is the absolute value of the difference between the wind turbine casing temperature and the reference casing temperature, is the absolute value of the difference between the wind turbine transformer temperature and the reference transformer temperature, is the absolute value of the difference between the wind turbine gearbox temperature and the reference gearbox temperature, is the compensation factor of the absolute value of the difference between the set wind turbine casing temperature and the reference casing temperature, is the compensation factor for the absolute value of the difference between the set wind turbine transformer temperature and the reference transformer temperature, is a compensation factor for the absolute value of the difference between the set wind turbine gearbox temperature and the reference gearbox temperature; comparing the wind turbine generator thermal state assessment value with a wind turbine generator thermal state reference assessment value; If the wind turbine generator thermal state assessment value is higher than or equal to the wind turbine generator thermal state reference assessment value, then the wind turbine generator corresponding to the wind turbine generator thermal state assessment value does not have thermal anomaly; If the wind turbine generator thermal state assessment value is lower than the wind turbine generator thermal state reference assessment value, then the wind turbine generator corresponding to the wind turbine generator thermal state assessment value has thermal anomaly.

7. A method for monitoring and adjusting the centering of a wind turbine shaft according to claim 6, characterized in that: The wind turbine thermal state data set specifically includes the absolute value of the difference between the wind turbine casing temperature and the reference casing temperature, the absolute value of the difference between the wind turbine transformer temperature and the reference transformer temperature, and the absolute value of the difference between the wind turbine gearbox temperature and the reference gearbox temperature.

8. The method for monitoring and adjusting the centering of a wind turbine shaft according to claim 1, characterized in that: The centering adjustment characteristic model based on the wind turbine generator shaft is combined with the deviation between the generator shaft and the generator base to determine the centering adjustment scheme of the wind turbine generator shaft. The specific analysis process is as follows: For wind turbines with abnormal vibration or thermal anomalies, the wind turbine vibration state assessment value and the wind turbine thermal state assessment value are introduced into the wind turbine shaft centering adjustment characteristic model, and the wind turbine shaft centering adjustment characteristic value is obtained through comprehensive analysis. The wind turbine shaft centering adjustment characteristic value is used as the analysis basis for determining the wind turbine shaft centering adjustment scheme; Analyze the deviation between the generator shaft and the generator base to obtain the deviation distance and the deviation angle between the generator shaft and the generator base; The centering adjustment characteristic value of the wind turbine shaft, the deviation distance between the generator shaft and the generator base, and the deviation angle between the generator shaft and the generator base are stored as designated tags, and the designated tags are compared with the centering adjustment schemes of the wind turbine shaft corresponding to the designated tags stored in the database to obtain the centering adjustment scheme of the wind turbine shaft corresponding to the designated tags.

9. A method for monitoring and adjusting the centering of a wind turbine shaft according to claim 8, characterized in that: The specific analysis process of the centering adjustment characteristic model of the wind turbine shaft is as follows: ； In the formula, is the characteristic value of the wind turbine shaft alignment adjustment, is the wind turbine vibration status assessment value, is the thermal status assessment value of the wind turbine, and e is a natural constant.

10. A wind turbine shaft alignment monitoring and adjustment system, using a wind turbine shaft alignment monitoring and adjustment method as claimed in any one of claims 1 to 9, characterized in that: It includes a soft foot problem judgment module, a vibration abnormality judgment module, a thermal abnormality judgment module and a shaft alignment adjustment scheme determination module, wherein: The soft foot problem judgment module is used to analyze the soft foot state of the wind turbine generator and judge whether the wind turbine generator has a soft foot problem; The vibration abnormality judgment module is used to analyze the vibration state of the wind turbine without the soft foot problem and judge whether the wind turbine has vibration abnormality; The thermal anomaly judgment module is used to analyze the thermal state of the wind turbine without the soft foot problem and judge whether the wind turbine has thermal anomaly; The shaft centering adjustment scheme determination module is used to determine the wind turbine shaft centering adjustment scheme for a wind turbine with abnormal vibration or thermal anomaly based on the wind turbine shaft centering adjustment characteristic model and combined with the deviation between the generator shaft and the generator base.

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