Vibration and impact integrated control operation and maintenance method and device for wind power bearing base

Abstract

The invention discloses a vibration and impact integrated control operation and maintenance method and device for a wind power bearing base, and relates to the technical field of control operation and maintenance, and the method comprises the steps: synchronously obtaining the energy harvesting density of different monitoring sites of the bearing base and the current current value of each magneto-rheological superstructure unit; a real-time energy distribution diagram is generated according to the gradient difference of the energy harvesting densities, the position corresponding to the maximum stress value is recognized based on the real-time energy distribution diagram to serve as a target load concentration point, the target energy harvesting density corresponding to the target load concentration point is determined, and an initial stress transmission path in the bearing base is recognized; performing correlation calculation on the target energy harvesting density and a current current value corresponding to the target load concentration point; the control device has the beneficial effects that suppression failure caused by insufficient power consumption of the control device is effectively prevented, and the safety redundancy of the base under the extreme working condition is remarkably enhanced.

Description

Technical Field

[0001] This invention relates to the field of control and maintenance technology, and in particular to an integrated control and maintenance method and device for vibration and impact of wind turbine bearing base. Background Technology

[0002] Wind turbine generators operate under extremely complex alternating load environments for extended periods. Their bearing bases, as the core load-bearing structure, are frequently subjected to intense vibrations and instantaneous impacts caused by random wind loads. To extend equipment lifespan and ensure operational safety, existing maintenance solutions often integrate intelligent damping materials or electromagnetic adjustment devices into the base structure. These devices use sensors to collect vibration acceleration or stress-strain signals in real time, thereby adjusting the physical parameters of the actuators to achieve vibration reduction control.

[0003] However, existing control and maintenance methods, when dealing with vibration and shock, mainly rely on closed-loop regulation based on the intensity of external mechanical excitation, neglecting the constraints of the system's own energy supply and demand on the control effectiveness of actuators. In actual operation, the actuator's ability to suppress shock is closely related to the energy level captured and stored by the base system in real time. Existing technologies often only respond passively based on signal feedback, lacking in-depth consideration of the synergy between the system's energy self-sufficiency rate and control requirements. This leads to the control system blindly adopting a single physical adjustment when subjected to extreme loads because it cannot quantitatively assess the reliability margin of current suppression measures. It is difficult to achieve accurate reconstruction of the impact path or optimized secondary scheduling of energy under limited resources. Due to the lack of a dynamic evaluation standard that can balance "suppression effectiveness" and "system power consumption," existing control strategies often face the risk of suppression failure or energy consumption imbalance when facing complex alternating operating conditions, making it difficult to meet the long-term, stable, and intelligent operation and maintenance requirements of wind turbine bearing bases. Summary of the Invention

[0004] In view of the above-mentioned prior art, this application is hereby made. Embodiments of this application provide an integrated control and maintenance method and device for vibration and impact of wind turbine bearing bases. This method can quantify the balance between the instantaneous load intensity experienced by the bearing base and the real-time suppression capability of the system, effectively preventing suppression failure of the control device due to insufficient power consumption, and significantly enhancing the safety redundancy of the base under extreme operating conditions.

[0005] According to one aspect of this application, an integrated control and maintenance method for vibration and impact of wind turbine bearing base is provided, comprising:

[0006] The energy harvesting density at different monitoring points on the bearing base and the current value of each magnetorheological superstructure unit are acquired simultaneously.

[0007] A real-time energy distribution map is generated based on the gradient difference of each energy harvesting density. The location corresponding to the highest stress value is identified as the target load concentration point based on the real-time energy distribution map. The target energy harvesting density corresponding to the target load concentration point is determined, and the initial stress transmission path inside the bearing base is identified.

[0008] The target energy harvesting density is correlated with the current value corresponding to the target load concentration point to obtain an energy efficiency matching value that characterizes the surplus or deficit state of the suppression capability.

[0009] Determine whether the energy efficiency matching value is less than a preset energy efficiency safety threshold;

[0010] If the judgment result is yes, adjust the excitation magnetic field strength gradient of the magnetorheological superstructure unit to drive the initial stress transmission path to migrate to the redundant bearing area other than the target load concentration point, and form a reconstructed stress transmission path;

[0011] If the judgment result is negative, the surplus electrical energy corresponding to the target load concentration point will be allocated to the magnetorheological superstructure unit with an energy harvesting density lower than the preset energy threshold.

[0012] The evolution trend of energy harvesting density after the execution of the excitation magnetic field strength gradient adjustment or the surplus power allocation is monitored in real time, and the evolution trend is fed back into the generation of the real-time energy distribution map. By comparing the correlation between stress transfer amount and excitation magnetic field strength gradient, the topology mapping parameters of the initial stress transfer path or the reconstructed stress transfer path are corrected.

[0013] According to another aspect of this application, an integrated control and maintenance device for vibration and impact of wind turbine bearing base is provided, comprising:

[0014] Data acquisition module: used to synchronously acquire the energy harvesting density at different monitoring points on the bearing base and the current value of each magnetorheological superstructure unit;

[0015] Feature recognition module: used to generate a real-time energy distribution map based on the gradient difference of each energy harvesting density, identify the location corresponding to the highest stress value as the target load concentration point based on the real-time energy distribution map, determine the target energy harvesting density corresponding to the target load concentration point, and identify the initial stress transmission path inside the bearing base;

[0016] Correlation calculation module: used to perform correlation calculation between the target energy harvesting density and the current value corresponding to the target load concentration point to obtain an energy efficiency matching value that characterizes the surplus or deficit state of the suppression capability;

[0017] Execution decision module: used to determine whether the energy efficiency matching value is less than a preset energy efficiency safety threshold;

[0018] If the judgment result is yes, adjust the excitation magnetic field strength gradient of the magnetorheological superstructure unit to drive the initial stress transmission path to migrate to the redundant bearing area other than the target load concentration point, and form a reconstructed stress transmission path;

[0019] If the judgment result is negative, the surplus electrical energy corresponding to the target load concentration point will be allocated to the magnetorheological superstructure unit with an energy harvesting density lower than the preset energy threshold.

[0020] Topology correction module: used to monitor in real time the evolution trend of energy harvesting density after the execution of the excitation magnetic field strength gradient adjustment or the surplus power allocation, and feed the evolution trend back to the generation of the real-time energy distribution map. By comparing the correlation between stress transfer amount and excitation magnetic field strength gradient, the topology mapping parameters of the initial stress transfer path or the reconstructed stress transfer path are corrected.

[0021] According to another aspect of this application, an electronic device is provided, including a memory and a processor, the memory being used to store computer-executable instructions, and the processor being used to execute the computer-executable instructions, which, when executed by the processor, implement the steps of the method described above.

[0022] According to another aspect of this application, a computer storage medium is provided that stores computer-executable instructions thereon, which, when executed by a processor, implement the steps of the method described above.

[0023] Compared with the prior art, the wind turbine bearing base vibration and impact integrated control and maintenance method and device according to the embodiments of this application quantifies the balance between the instantaneous load intensity of the bearing base and the real-time suppression capability of the system by calculating the energy efficiency matching value. It breaks the limitation of the prior art that blindly adjusts based solely on vibration signals. When in an energy efficiency deficit state, it actively avoids overload through force flow migration, effectively preventing the suppression failure of the control device due to insufficient power consumption, and significantly enhancing the safety redundancy of the bearing base under extreme working conditions.

[0024] It achieves load uniformity at the physical level and optimizes energy utilization efficiency at the system level, effectively solving the problem of excessive fatigue in some areas caused by resource imbalance in existing technologies. By monitoring the evolution trend of energy density in real time and feeding back the correlation between stress transfer and excitation magnetic field strength to the topology parameter correction, a deep feedback closed loop from physical response to model parameters is constructed, enabling the control logic to be continuously iterated and optimized as the equipment service life increases, ensuring the accuracy of force flow control throughout the entire life cycle. Attached Figure Description

[0025] The above and other objects, features, and advantages of this application will become more apparent from the more detailed description of the embodiments of this application in conjunction with the accompanying drawings. The drawings are provided to further illustrate the embodiments of this application and form part of the specification. They are used together with the embodiments of this application to explain this application and do not constitute a limitation thereof. In the drawings, the same reference numerals generally represent the same components or steps.

[0026] Figure 1 This is a schematic diagram of the overall process of the integrated control and maintenance method for vibration and impact of wind turbine bearing base according to the present invention.

[0027] Figure 2 This is a schematic diagram illustrating the reconfigurable stress transmission path extension of the integrated control and maintenance method for vibration and impact of wind turbine bearing base according to the present invention.

[0028] Figure 3 This is a schematic diagram of the reconfigurable stress transmission path generation logic of the integrated control and maintenance method for vibration and impact of wind turbine bearing base according to the present invention. Detailed Implementation

[0029] Hereinafter, exemplary embodiments according to this application will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are merely some embodiments of this application, and not all embodiments of this application. It should be understood that this application is not limited to the exemplary embodiments described herein.

[0030] Example 1:

[0031] Reference Figures 1-3 As an embodiment of the present invention, an integrated control and maintenance method for vibration and impact of wind turbine bearing base is provided:

[0032] Figure 1 The illustration shows an integrated control and maintenance method for vibration and impact of wind turbine bearing base according to an embodiment of this application, including:

[0033] The energy harvesting density at different monitoring points on the bearing base and the current value of each magnetorheological superstructure unit are acquired simultaneously.

[0034] Specifically, the energy harvesting density is obtained by pre-deploying multiple vibration energy acquisition sensors in the key stress areas of the bearing base. These sensors convert the mechanical vibration energy generated by the bearing base under wind load into a monitorable electrical signal and calculate the energy conversion efficiency per unit area, thereby obtaining the real-time energy harvesting density. Through the sensor group distributed at different monitoring points in the circumference and radial direction of the bearing base, the spatial distribution characteristics of vibration energy inside the bearing base structure can be captured in real time.

[0035] The current value of each magnetorheological superstructure unit is collected in real time by a current monitoring circuit. Each magnetorheological superstructure unit acts as an actuator, and the current of its internal excitation coil directly reflects the current electromagnetic excitation intensity of the unit, which in turn corresponds to the stiffness and damping state of its output. Through a multi-channel synchronous sampling controller, the energy harvesting density data and current value data are strictly aligned on the time axis, providing high-precision raw data support for the subsequent construction of real-time energy distribution maps and energy efficiency matching calculations, and ensuring the real-time performance of the suppression capability surplus and deficit state assessment.

[0036] A real-time energy distribution map is generated based on the gradient differences in harvesting densities at each energy level;

[0037] Specifically, a spatial interpolation algorithm is used to numerically fit the energy harvesting density at different monitoring sites, calculate the step change in energy distribution between each monitoring site, and construct a real-time energy distribution map that can intuitively reflect the energy accumulation state on the surface and inside of the bearing base by identifying the gradient of the energy harvesting density in the spatial coordinate system of the bearing base. It should be noted that the real-time energy distribution map is used to characterize the degree of energy concentration in each region of the bearing base, and its characterization parameters include, but are not limited to, strain energy, kinetic energy or externally supplied electrical energy.

[0038] Based on the real-time energy distribution map, the location corresponding to the highest stress value is identified as the target load concentration point, the target energy harvesting density corresponding to the target load concentration point is determined, and the initial stress transmission path inside the bearing base is identified.

[0039] Specifically, based on the real-time energy distribution map, the location corresponding to the highest stress value is automatically identified as the target load concentration point through an extreme value search algorithm. This target load concentration point represents the physical area where the bearing base is most severely impacted and has the highest risk of structural failure under the current working conditions. After locking the coordinates of this point, the energy harvesting density value corresponding to this location is extracted to determine the target energy harvesting density corresponding to the target load concentration point, which serves as the core benchmark data for measuring the subsequent energy efficiency matching degree. By analyzing the connectivity characteristics of energy flow in the real-time energy distribution map, the initial stress transmission path inside the bearing base is identified. Using a path optimization algorithm, starting from the load input source, the path is traced along the direction of the most drastic change in energy gradient to the support boundary, thereby outlining the natural transmission trajectory of the load without active intervention. The identification of this initial stress transmission path provides a key topological reference for subsequent judgment on whether stress transmission reconstruction is needed and for determining the migration target area.

[0040] The energy efficiency matching value, which characterizes the surplus or deficit state of the suppression capability, is obtained by correlating the target energy harvesting density with the current value corresponding to the target load concentration point. The specific formula is as follows:

[0041] ;

[0042] in, The energy efficiency matching value characterizes the surplus or deficit state of the magnetorheological superstructure unit's ability to suppress the target load concentration point. The electromagnetic force conversion constant characterizes the magnetostrictive shear stress and energy dissipation capacity of a magnetorheological superstructure unit under unit current. ), This is the current value, i.e., the real-time excitation current of the magnetorheological superstructure unit corresponding to the target load concentration point. For target energy harvesting density, This indicates the maximum electromagnetic suppression energy intensity that the magnetorheological superstructure unit can provide according to Joule's law and magnetic field interaction. It can transform the abstract "profit and loss state" into a quantifiable numerical criterion, providing accurate data input for subsequent comparison of energy efficiency safety thresholds.

[0043] Determine whether the energy efficiency matching value is less than the preset energy efficiency safety threshold;

[0044] Figure 3 This is a schematic diagram of the reconstructed stress transmission path generation logic of the integrated control and maintenance method for vibration and impact of wind turbine bearing base according to the present invention.

[0045] If the judgment result is yes, adjust the excitation magnetic field strength gradient of the magnetorheological superstructure unit to drive the initial stress transmission path to migrate to the redundant bearing area other than the target load concentration point, and form a reconstructed stress transmission path.

[0046] Specifically, the formation of the reconstructed stress transmission path includes:

[0047] Identify the stress transfer path to be constructed between the target load concentration point and each redundant bearing area, and determine each magnetorheological superstructure unit located on the stress transfer path to be constructed as a stress transfer unit, and construct a stress transfer array based on each stress transfer unit.

[0048] Based on the spatial topological distance between the target load concentration point and each redundant load-bearing area, the stiffness coordination coefficient of each stress migration element in the stress migration array is calculated. The specific formula is as follows:

[0049] ;

[0050] in, Let be the stiffness coordination coefficient of the i-th stress migration element. The distance from the center of the i-th stress migration element to the target load concentration point Spatial topological distance, From the center of the i-th stress migration element to the redundant load-bearing area Spatial topological distance, This is the characteristic length of the bearing base;

[0051] The magnetostrictive modulus of each stress migration element is controlled by a stiffness synergy coefficient, resulting in a spatially gradient distribution. The specific formula is as follows:

[0052] ;

[0053] in, The magnetostrictive modulus generated by the i-th stress migration unit. This represents the maximum modulus of the magnetorheological material under the current excitation limit.

[0054] By utilizing magnetostrictive modulus, a low-impedance force channel is constructed inside the bearing base, pointing from the target load concentration point to the redundant load-bearing area. This guides the initial stress transmission path to migrate along the low-impedance force channel to the redundant load-bearing area, thereby forming a reconstructed stress transmission path.

[0055] The construction of the low-impedance conductive channel includes:

[0056] Obtain the loss factor of each stress migration unit at different excitation frequencies;

[0057] Specifically, the excitation coil of the magnetorheological superstructure unit is driven by a preset scanning frequency, and the change of the complex modulus of the stress migration unit is monitored synchronously. The response curve of the loss factor with frequency is extracted. Since the magnetorheological elastomer exhibits significant damping adjustment characteristics at different excitation frequencies, it provides basic data support for subsequent frequency-controlled damping ratio.

[0058] Using the line connecting the target load concentration point and the redundant bearing area as the central axis, the excitation frequency of each stress migration unit located on the central axis is controlled, and the damping ratio of each stress migration unit on the central axis is adjusted to be less than or equal to the preset damping threshold to form a force guiding path.

[0059] Specifically, taking the line connecting the target load concentration point and the redundant load-bearing area as the central axis, stress migration units located within the coverage area of ​​this central axis are identified. Based on the aforementioned loss factor response curve, the excitation frequency of each stress migration unit located on the central axis is precisely controlled, adjusting its operating frequency to the low-damping response range. Specifically, by adjusting the frequency characteristics of the excitation current, the real-time damping ratio of the stress migration units on the central axis is adjusted. Reduce until it meets the requirements. (in (Assuming a preset damping threshold), a guiding path with extremely low energy dissipation is formed along the central axis, providing a low-impedance physical basis for the smooth transfer of stress.

[0060] Control the excitation frequency of each stress migration unit located in the outer peripheral region of the central axis, and adjust the damping ratio of each stress migration unit in the outer peripheral region to be greater than or equal to the preset damping threshold so as to form an absorption boundary on the periphery of the force guiding path.

[0061] Simultaneously, stress migration elements located in the outer periphery region of the central axis are identified. By controlling the excitation frequency of these stress migration elements in the outer periphery region, they are adjusted to the high-loss response range, thereby increasing the damping ratio of the stress migration elements in each outer periphery region. Increase until satisfied. Through this high damping ratio distribution, an absorption boundary with high energy absorption capacity is built around the force path. The existence of this absorption boundary can effectively capture and attenuate secondary vibration waves that escape from the central force path, and prevent stress from spreading to unexpected structural weak areas.

[0062] Stress guiding effect is generated by utilizing the modulus gradient difference between the force guiding path and the absorbing boundary, and stress constraint effect is generated by utilizing the damping gradient difference between the force guiding path and the absorbing boundary; based on the synergy of stress guiding effect and stress constraint effect, a low-impedance force guiding channel is constructed.

[0063] Specifically, the stress-directing effect utilizes the modulus gradient difference between the force-guiding path and the absorbing boundary (i.e., high stiffness at the center and differentiated elastic modulus distribution at the edges) to generate a potential energy difference converging towards the center within the bearing base structure, spontaneously guiding the stress towards the central axis. The stress-constraining effect utilizes the damping gradient difference between the force-guiding path and the absorbing boundary (i.e., low damping at the center and high damping at the edges) to generate a stress-constraining effect. This gradient difference forms an "energy trap," locking the stress flow within the low-damped force-guiding path. Based on the synergy of the stress-guiding and stress-constraining effects, a complete low-impedance force-guiding channel is constructed within the bearing base. This low-impedance force-guiding channel can forcibly guide the initial stress transmission path to migrate along a predetermined low-impedance trajectory to the redundant load-bearing area, thereby realizing the establishment of a reconstructed stress transmission path.

[0064] If the judgment result is negative, it indicates that the energy harvesting level at the current target load concentration point is sufficient to support the magnetorheological superstructure unit to generate the required suppression stiffness, and enter the power optimization allocation stage. At this time, the surplus power corresponding to the target load concentration point is allocated to the magnetorheological superstructure unit with an energy harvesting density lower than the preset energy threshold.

[0065] It should be noted that the preset energy threshold is determined based on the minimum maintenance energy consumption required by the magnetorheological superstructure unit in the static equilibrium state. Specifically: First, the reference excitation power of the magnetorheological unit under no external load impact is obtained, and combined with the static power consumption of the sensor itself, the basic energy demand per unit area is calculated; then, a correction coefficient based on the environmental noise level (with a value range of 1.2-1.5) is introduced, and the energy demand per unit area after correction is used as the preset energy threshold. When the energy harvesting density of the monitoring point is lower than this threshold, it is determined that the self-powered energy supply of the magnetorheological superstructure unit is insufficient to maintain it in a highly sensitive pre-excitation standby state, and an energy distribution command needs to be triggered.

[0066] First, the surplus electrical energy corresponding to the target load concentration point is calculated. In this embodiment, the quantification of surplus electrical energy is based on the target energy harvesting density. The difference between the power consumption required to maintain the current field strength and the power consumption is calculated using the following formula:

[0067] ;

[0068] in, Surplus energy represents the additional energy that can be mobilized after meeting the current vibration reduction requirements. This is the energy efficiency matching value. The preset energy efficiency safety threshold, The effective sensing area of ​​the controlled magnetorheological superstructure unit;

[0069] It should be noted that the energy efficiency safety threshold is a scalar value determined based on the coupling relationship between the material yield strength of the bearing base and the dynamic damping dissipation limit. This energy efficiency safety threshold is usually set between 1.1 and 1.3. Its physical criterion is that when the energy efficiency matching value is equal to this threshold, it means that the electromagnetic suppression energy intensity generated by the current magnetorheological unit can just cover the external impact energy and leave a safety margin of 10% to 30%. The purpose of setting this energy efficiency safety threshold is to ensure that there is still sufficient nonlinear stiffness reserve when dealing with sudden gust loads, to prevent the magnetorheological material from entering the saturation failure zone due to instantaneous overload, thereby ensuring the dynamic stability of the stress migration process.

[0070] The state of the magnetorheological superstructure units across the entire field is retrieved in real time. Units with a current energy harvesting density below a preset energy threshold are identified as power-compensated units. These units are typically located in the low-vibration region of the bearing base, where spontaneous energy harvesting is insufficient to maintain a high-response-sensitivity pre-excitation state. The extracted surplus energy is then converted into electrical energy through an electrical energy conversion circuit. The current is converted into compensation current and injected into the aforementioned power receiving and compensation unit. The allocation ratio follows the principle of supplementing as needed, and the specific formula is as follows:

[0071] ;

[0072] in, To inject compensation current into the j-th power receiving compensation unit, The energy benchmark corresponding to the preset energy threshold. This method utilizes the existing harvesting energy of the power receiving and compensation unit to precisely redirect locally accumulated excess energy to energy-deficient areas. Set a preset duration for power compensation.

[0073] The evolution trend of energy harvesting density after the strong gradient adjustment of the excitation magnetic field or the distribution of surplus electrical energy is monitored in real time, and the evolution trend is fed back into the generation of real-time energy distribution map;

[0074] Specifically, by using a preset sampling period T, energy harvesting density data for each monitoring site before and after the execution of control actions are continuously acquired. The evolution trend is defined by calculating the rate of change of energy harvesting density over time and the stability of the spatial gradient, as shown in the following formula:

[0075] ;

[0076] in, The evolutionary trend is represented by a characteristic value of the spatiotemporal evolution rate of the energy field. This characteristic value, after normalization, reflects the relative evolution intensity of the energy distribution state per unit time after the execution of a control action. It is used to quantitatively evaluate the dynamic response speed and spatial stability of the physical field reconstruction. The average energy harvesting density of all monitoring sites. Let be the time-domain rate of change of energy harvesting density. Sampling period time step, For the space Laplace operator of energy harvesting density, The characteristic length of the bearing base. This represents the maximum energy harvesting density value as monitored in real time.

[0077] The system will extract the evolutionary trend Feedback is sent to the real-time energy distribution map;

[0078] Time-domain compensation: If the evolution trend shows that the energy harvesting density continues to increase after excitation adjustment ( It automatically increases the weight coefficient of the corresponding area during the real-time energy distribution map generation process to predict possible secondary stress peaks;

[0079] Spatial alignment: if the spatial Laplace operator of energy harvest density The stress migration trajectory deviates from the preset low-impedance guiding channel. This deviation is used as a correction bias to adjust the spatial mapping coordinates of the energy distribution map in real time. By feeding back the evolution trend into the generation of the real-time energy distribution map, this embodiment achieves effective compensation for the time lag between the "control command" and the "physical response", ensuring that the real-time energy distribution map can not only reflect the current static stress state, but also predict the future energy migration trend.

[0080] By comparing the correlation between stress transfer amount and excitation magnetic field strength gradient, the topology mapping parameters of the initial stress transfer path or the reconstructed stress transfer path are corrected.

[0081] Specifically, the correction of topology mapping parameters includes:

[0082] Extract the real-time energy distribution map before and after the adjustment of the excitation magnetic field gradient, and calculate the rate of change of energy harvesting density at the target load concentration point before and after migration as the actual stress transfer amount. The specific formula is as follows:

[0083] ;

[0084] in, This represents the actual stress transfer amount, characterizing the relative decay rate of the energy density at the target point per unit time. and These represent the target energy harvest density before and after the adjustment. For monitoring time intervals;

[0085] Based on the excitation magnetic field strength gradient and the preset structural stiffness matrix, the expected stress transfer under the theoretical state is calculated, and the specific formula is as follows:

[0086] ;

[0087] in, The expected stress transfer amount, The increase in magnetostrictive modulus of the magnetorheological superstructure unit is caused by the adjustment of the excitation magnetic field gradient. The eigenvalues ​​of the pre-defined structural stiffness matrix characterize the inherent deformation resistance of the base structure. For the monitoring time interval, For structural conduction operators;

[0088] Calculate the deviation between the actual stress transfer and the expected stress transfer. The specific formula is as follows:

[0089] ;

[0090] Normal correction: If the deviation value If the deviation does not exceed the preset deviation threshold range, the current topological mapping relationship is determined to be basically accurate, and only this deviation value needs to be used. Fine-tune the alignment of the topology mapping parameters;

[0091] Abnormal compensation: If the deviation value If the deviation exceeds the preset threshold range, it indicates that the current control device has experienced significant stress hysteresis or nonlinear deviation. In this case, the preset compensation function is invoked to compensate and correct the coordinate transformation weights and stress transfer coefficients in the topology mapping parameters.

[0092] It should be noted that the deviation threshold range is determined based on the structural linearity deviation of the bearing base under different service cycles. The lower limit of this range is determined based on the variance of sensor measurement noise, used to filter out minor deviations caused by random disturbances; the upper limit is determined based on the nonlinear mismatch limit of the structural stiffness matrix [K]. Specifically, the deviation between the actual transfer amount of the bearing base under standard operating conditions and the theoretically expected initial deviation is experimentally determined, and this deviation is... Defined as a deviation threshold range, if the deviation value is within this range, it is determined to be a normal linear deviation, and only parameter fine-tuning is performed; if the deviation value exceeds the upper limit of the range, it is determined to be a sudden change in structural characteristics caused by fatigue damage or extreme distortion, and the compensation and correction of coordinate transformation weight and stress transfer coefficient must be forcibly triggered.

[0093] The compensation and correction include:

[0094] Based on the real-time energy distribution map, the distribution gradient of the actual stress transfer at different monitoring sites is extracted, and regions where the stress transfer is lower than the theoretical expected value are identified as stress transfer lag zones. The geometric position deviation vector between the stress transfer lag zone and the redundant bearing zone is calculated using the following formula:

[0095] ;

[0096] in, The geometric position deviation vector. The center coordinate vector of the redundant bearing area. Let be the coordinate vector of the j-th monitoring point within the stress migration hysteresis zone. This represents the total number of monitoring sites identified as being within the stress migration hysteresis zone. These are spatial weighting coefficients;

[0097] Based on the geometric position deviation vector, the weight distribution of coordinate transformation weights is redistributed, the spatial position correspondence in the topology mapping parameters is corrected, and the virtual coordinates of the real-time energy distribution map and the physical coordinates of the base are re-aligned after spatial decoupling.

[0098] The stress transfer coefficient corresponding to the stress migration lag zone is compensated and corrected based on the ratio of the actual stress transfer amount to the expected stress transfer amount. The specific formula is as follows:

[0099] ;

[0100] in, The initial stress transfer coefficient, To compensate for the corrected stress transfer coefficient, the gain value of stress transmission efficiency in the topology mapping parameters was adjusted, thereby compensating for the response hysteresis of the physical structure caused by fatigue or environmental changes.

[0101] Traditional solutions often employ passive absorption or blind current adjustment, neglecting the constraints of real-time energy capture on the performance of actuators. This solution calculates energy efficiency matching values ​​to quantitatively assess whether the suppression energy intensity generated by the current magnetorheological superstructure unit can cover external impact loads. When the suppression capability is deemed insufficient, it no longer attempts to forcefully suppress at that point. Instead, it utilizes the spatial gradient difference between magnetostrictive modulus and damping ratio to construct a low-impedance guiding force channel from the target load concentration point to the redundant load-bearing area, driving the stress flow to actively migrate.

[0102] In this embodiment, the limitations of single physical adjustment are broken, and a dynamic balance between suppression effectiveness and system power consumption is achieved. By driving the initial stress transmission path to reconstruct the area with the highest load-bearing capacity score, the structural fatigue risk of overload area is effectively avoided, and the safety under extreme working conditions is significantly enhanced. When the suppression capacity is determined to be surplus, the pre-excitation sensitivity of the low vibration area unit is improved by the secondary distribution of surplus power, which solves the problem of resource utilization imbalance. Through the feedback of evolution trend and actual stress transfer amount, the coordinate transformation weight and stress transmission coefficient in the topology mapping parameters are corrected in real time, ensuring the accuracy of force flow control throughout the entire life cycle of the equipment and compensating for the response lag caused by physical structure fatigue.

[0103] Compared to traditional "mechanically reinforced structures" or "passive vibration isolation" technologies, this solution has significant advantages. Mechanically reinforced structures cannot cope with randomly changing load positions and increase the overall weight. This solution achieves dynamic, non-contact soft reinforcement of any load point through spatial gradient control of magnetostrictive modulus, while passive vibration isolation is prone to saturation failure under extreme impacts. When the scores of redundant load-bearing areas are too low, this solution can actively switch to a high-damping dissipation mode for emergency braking protection. Furthermore, its low-impedance force channel utilizes the synergistic effect of stress guidance generated by modulus gradient difference and stress constraint generated by damping gradient difference to achieve forced guidance of stress flow, which is something that existing passive technologies cannot achieve.

[0104] Figure 2This is a schematic diagram of the reconstructed stress transmission path extension of the integrated control and maintenance method for vibration and impact of wind turbine bearing base according to the present invention;

[0105] This application further proposes that, after identifying the initial stress transmission path inside the bearing housing, the method also includes:

[0106] Based on the real-time energy distribution map, multiple redundant load-bearing areas in the bearing base, other than the target load concentration point, are identified. These redundant load-bearing areas are defined as physical spaces with low current energy accumulation and additional load-bearing potential.

[0107] Calculate the carrying capacity score for each redundant load-bearing zone. The carrying capacity score is determined based on the energy harvesting density gradient, structural integrity, and historical load distribution of the redundant load-bearing zone.

[0108] The calculation of the bearing capacity score includes:

[0109] The dynamic response sensitivity of each redundant bearing area within a preset frequency range is obtained. The nonlinear coupling relationship between the energy harvesting density gradient and the dynamic response sensitivity of each redundant bearing area is analyzed to determine the oscillation risk value of each redundant bearing area during the force flow migration process. The specific formula is as follows:

[0110] ;

[0111] The oscillation risk value characterizes the possibility that the redundant bearing area will experience secondary resonance or stress oscillation when receiving migrating force flow. The energy harvesting density gradient of the redundant bearing area. For dynamic response sensitivity ( ), This is the gain coefficient;

[0112] An initial score is determined based on structural integrity and historical load distribution. The initial score is then weighted and corrected using the oscillation risk value to obtain the bearing capacity score. The specific formula is as follows:

[0113] ;

[0114] in, To score the carrying capacity, This is the initial score;

[0115] When the bearing capacity scores of each redundant bearing area are lower than the preset safety threshold (indicating that the bearing base as a whole is in a high-risk state and there is no safe area to migrate to), the migration of the initial stress transmission path is stopped (the migration attempt of the initial stress transmission path to any redundant area is stopped immediately to prevent stress flow from entering the high-risk area and causing structural damage), so as to avoid forced migration that induces structural collapse. Then, each magnetorheological superstructure unit is switched to the preset high-damping dissipation mode. In this high-damping dissipation mode, the system adjusts the excitation frequency to make all field units enter an extremely high loss factor state. By utilizing the high damping characteristics of the magnetorheological material, the impact energy is converted into heat energy and dissipated directly over a large area, thereby achieving emergency braking protection for the bearing base.

[0116] Based on the calculated scores of each redundant bearing area, the stress transmission path reconstruction command is executed. When adjusting the excitation magnetic field strength gradient of the magnetorheological superstructure unit, the initial stress transmission path is driven to migrate to the redundant bearing area with the highest bearing capacity score, forming a reconstructed stress transmission path. The bearing capacity score is used as a navigation criterion to ensure that the reconstructed force flow can avoid the high-oscillation risk area and accurately enter the physical area with the highest structural stability and the largest redundancy space.

[0117] After identifying the initial stress transfer path, this invention introduces a dynamic evaluation mechanism for redundant load-bearing areas and a safety mode switching mechanism to solve the problems of blindness and safety in force flow reconstruction targets under complex working conditions. Considering that not all low-stress areas of wind turbine bearing bases are suitable for bearing the migrating force flow in the later stages of service, forcibly guiding stress to areas with fatigue damage or severe dynamic response can easily induce secondary damage. Therefore, it is necessary to establish a navigation criterion based on risk foresight. The nonlinear coupling relationship between energy gradient and structural sensitivity is quantified by the oscillation risk value, effectively avoiding potential resonance damage. The optimal migration target is established through load-bearing capacity scoring to ensure that the force flow is directed to the area with the highest structural stability.

[0118] This method of converting impact energy into heat energy and dissipating it directly over a large area replaces the traditional forced migration that could lead to structural collapse. It achieves a logical switch from stress guidance to global dissipation, fundamentally ensuring the overall safety of the bearing base under extreme failure boundaries.

[0119] Example 2:

[0120] This is one embodiment of the present invention, which differs from the previous embodiment in that:

[0121] A wind turbine bearing base vibration and impact integrated control and maintenance device includes:

[0122] Data acquisition module: used to synchronously acquire the energy harvesting density at different monitoring points on the bearing base and the current value of each magnetorheological superstructure unit;

[0123] Feature recognition module: used to generate a real-time energy distribution map based on the gradient difference of each energy harvesting density, identify the location corresponding to the highest stress value as the target load concentration point based on the real-time energy distribution map, determine the target energy harvesting density corresponding to the target load concentration point, and identify the initial stress transmission path inside the bearing base;

[0124] Correlation calculation module: used to perform correlation calculation between the target energy harvesting density and the current value corresponding to the target load concentration point to obtain the energy efficiency matching value characterizing the surplus and deficit state of the suppression capability;

[0125] Execution decision module: used to determine whether the energy efficiency matching value is less than the preset energy efficiency safety threshold;

[0126] If the judgment result is yes, adjust the excitation magnetic field strength gradient of the magnetorheological superstructure unit to drive the initial stress transmission path to migrate to the redundant bearing area other than the target load concentration point, and form a reconstructed stress transmission path.

[0127] If the judgment result is negative, the surplus electrical energy corresponding to the target load concentration point will be allocated to the magnetorheological superstructure unit with an energy harvesting density lower than the preset energy threshold.

[0128] Topology correction module: Used to monitor the evolution trend of energy harvesting density after performing excitation magnetic field strong gradient adjustment or surplus power allocation in real time, and feed the evolution trend back to the generation of real-time energy distribution map. By comparing the correlation between stress transfer amount and excitation magnetic field strong gradient, the topology mapping parameters of the initial stress transfer path or reconstructed stress transfer path are corrected.

[0129] Example 3:

[0130] In one embodiment of the present invention, which differs from the previous embodiment, the electronic device includes one or more processors and a memory.

[0131] A processor can be a central processing unit (CPU) or other form of processing unit with data processing and / or instruction execution capabilities, and can control other components in an electronic device to perform desired functions.

[0132] The memory may include one or more computer program products, which may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. Volatile memory may include, for example, random access memory (RAM) and / or cache memory. Non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc.

[0133] In one example, the electronic device may also include input devices and output devices, which are interconnected via a bus system and / or other forms of connection mechanisms (not shown). In addition, depending on the specific application, the electronic device may include any other suitable components.

[0134] Example 4:

[0135] Embodiments of this application may also be computer-readable storage media storing computer program instructions thereon, which, when executed by a processor, cause the processor to perform the steps described in the "Exemplary Methods" section above according to the various embodiments of this application.

[0136] Computer-readable storage media may take the form of any combination of one or more readable media. A readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may, for example, include, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatuses, or devices, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: electrical connections having one or more wires, portable disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0137] The basic principles of this application have been described above with reference to specific embodiments. However, it should be noted that the advantages, benefits, and effects mentioned in this application are merely examples and not limitations, and should not be considered as essential features of each embodiment of this application. Furthermore, the specific details disclosed above are for illustrative and facilitative purposes only, and are not limitations. These details do not restrict the application from being implemented using the specific details described above.

[0138] The block diagrams of devices, apparatuses, devices, and systems involved in this application are merely illustrative examples and are not intended to require or imply that they must be connected, arranged, or configured in the manner shown in the block diagrams. As those skilled in the art will recognize, these devices, apparatuses, devices, and systems can be connected, arranged, and configured in any manner. Words such as “comprising,” “including,” “having,” etc., are open-ended terms meaning “including but not limited to,” and are used interchangeably with them. The terms “or” and “and” as used herein refer to the terms “and / or,” and are used interchangeably with them unless the context clearly indicates otherwise. The term “such as” as used herein refers to the phrase “such as but not limited to,” and is used interchangeably with it.

[0139] It should also be noted that in the apparatus, equipment, and methods of this application, the components or steps can be disassembled and / or recombined. These disassemblies and / or recombinations should be considered as equivalent solutions of this application.

[0140] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use this application. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein can be applied to other aspects without departing from the scope of this application. Therefore, this application is not intended to be limited to the aspects shown herein, but rather to be accorded the widest scope consistent with the principles and novel features disclosed herein.

[0141] The above description has been given for purposes of illustration and description. Furthermore, this description is not intended to limit the embodiments of this application to the forms disclosed herein. Although numerous exemplary aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, alterations, additions, and sub-combinations thereof.

Claims

1. A method for integrated control and maintenance of vibration and impact on wind turbine bearing bases, characterized in that, include: The energy harvesting density at different monitoring points on the bearing base and the current value of each magnetorheological superstructure unit are acquired simultaneously. A real-time energy distribution map is generated based on the gradient difference of each energy harvesting density. The location corresponding to the highest stress value is identified as the target load concentration point based on the real-time energy distribution map. The target energy harvesting density corresponding to the target load concentration point is determined, and the initial stress transmission path inside the bearing base is identified. The target energy harvesting density is correlated with the current value corresponding to the target load concentration point to obtain an energy efficiency matching value that characterizes the surplus or deficit state of the suppression capability. Determine whether the energy efficiency matching value is less than a preset energy efficiency safety threshold; If the judgment result is yes, adjust the excitation magnetic field strength gradient of the magnetorheological superstructure unit to drive the initial stress transmission path to migrate to the redundant bearing area other than the target load concentration point, and form a reconstructed stress transmission path; If the judgment result is negative, the surplus electrical energy corresponding to the target load concentration point will be allocated to the magnetorheological superstructure unit with an energy harvesting density lower than the preset energy threshold. The evolution trend of energy harvesting density after the execution of the excitation magnetic field strength gradient adjustment or the surplus power allocation is monitored in real time, and the evolution trend is fed back into the generation of the real-time energy distribution map. By comparing the correlation between stress transfer amount and excitation magnetic field strength gradient, the topology mapping parameters of the initial stress transfer path or the reconstructed stress transfer path are corrected.

2. The integrated control and maintenance method for vibration and impact of wind turbine bearing base according to claim 1, characterized in that: After identifying the initial stress transmission path inside the bearing base, the process also includes: Based on the real-time energy distribution map, multiple redundant load-bearing areas in the bearing base, other than the target load concentration point, are identified. Calculate the carrying capacity score for each redundant load-bearing zone, which is determined based on the energy harvesting density gradient, structural integrity, and historical load distribution of the redundant load-bearing zone. Specifically, when adjusting the excitation magnetic field strength gradient of the magnetorheological superstructure unit, the initial stress transmission path is driven to migrate to the redundant bearing area with the highest bearing capacity score, thus forming a reconstructed stress transmission path.

3. The integrated control and maintenance method for vibration and impact of wind turbine bearing base according to claim 2, characterized in that: The calculation of the bearing capacity score includes: Obtain the dynamic response sensitivity of each redundant bearer region within a preset frequency range; The nonlinear coupling relationship between the energy harvesting density gradient and dynamic response sensitivity of each redundant bearing area is analyzed to determine the oscillation risk value of each redundant bearing area during the force flow migration process. An initial score is determined based on the structural integrity and the historical load distribution. The initial score is then weighted and corrected using the oscillation risk value to obtain the bearing capacity score. When the load-bearing capacity score of each of the redundant load-bearing areas is lower than the preset safety threshold, the migration of the initial stress transmission path is stopped, and each of the magnetorheological superstructure units is switched to the preset high-damping dissipation mode.

4. The integrated control and maintenance method for vibration and impact of wind turbine bearing base according to claim 1, characterized in that: The formation of the reconstructed stress transmission path includes: Identify the stress transfer path to be constructed between the target load concentration point and each of the redundant bearing areas, and determine each of the magnetorheological superstructure units located on the stress transfer path to be constructed as stress transfer units, and construct a stress transfer array based on each stress transfer unit. Based on the spatial topological distance between the target load concentration point and each of the redundant bearing areas, the stiffness coordination coefficient of each stress migration unit in the stress migration array is calculated. The stress migration elements are controlled by a stiffness coordination coefficient to generate a magnetostrictive modulus with a spatial gradient distribution. The magnetostrictive modulus is used to construct a low-impedance force channel inside the bearing base, pointing from the target load concentration point to the redundant load area. This guides the initial stress transmission path to migrate along the low-impedance force channel to the redundant load area, thereby forming a reconstructed stress transmission path.

5. The integrated control and maintenance method for vibration and impact of wind turbine bearing base according to claim 4, characterized in that: The construction of the low-impedance conductive channel includes: Obtain the loss factor of each stress migration unit at different excitation frequencies; Using the line connecting the target load concentration point and the redundant bearing area as the central axis, the excitation frequency of each stress migration unit located at the central axis is controlled, and the damping ratio of each stress migration unit at the central axis is adjusted to be less than or equal to a preset damping threshold to form a force guiding path. Control the excitation frequency of each stress migration unit located in the outer peripheral edge region of the central axis, and adjust the damping ratio of each stress migration unit in the outer peripheral edge region to be greater than or equal to the preset damping threshold to form an absorption boundary around the force guiding path. The stress guiding effect is generated by the modulus gradient difference between the force guiding path and the absorption boundary, and the stress constraint effect is generated by the damping gradient difference between the force guiding path and the absorption boundary. Based on the synergy between the stress guiding effect and the stress constraint effect, a low-impedance force guiding channel is constructed.

6. The integrated control and maintenance method for vibration and impact of wind turbine bearing base according to claim 1, characterized in that: The correction of the topology mapping parameters includes: Extract the real-time energy distribution map before and after the excitation magnetic field strength gradient adjustment, and calculate the rate of change of energy harvesting density of the target load concentration point before and after migration, as the actual stress transfer amount; Based on the excitation magnetic field strength gradient and the preset structural stiffness matrix, calculate the expected stress transfer amount under the theoretical state; Calculate the deviation between the actual stress transfer amount and the expected stress transfer amount; If the deviation value does not exceed the preset deviation threshold range, the topology mapping parameter is corrected using the deviation value; If the deviation value exceeds the preset deviation threshold range, a preset compensation function is invoked to compensate and correct the coordinate transformation weights and stress transfer coefficients in the topology mapping parameters.

7. The integrated control and maintenance method for vibration and impact of wind turbine bearing base according to claim 6, characterized in that: The compensation correction includes: Based on the real-time energy distribution map, the distribution gradient of the actual stress transfer amount at different monitoring sites is extracted, and the region where the stress transfer amount is lower than the theoretical expected value is identified as the stress transfer lag region. Calculate the geometric position deviation vector between the stress migration hysteresis zone and the redundant load-bearing zone; Based on the geometric position deviation vector, the coordinate transformation weights are redistributed to correct the spatial position correspondence in the topology mapping parameters. The stress transfer coefficient corresponding to the stress migration lag zone is compensated and corrected based on the ratio of the actual stress transfer amount to the expected stress transfer amount.

8. A wind turbine bearing base vibration and impact integrated control and maintenance device, characterized in that, include: Data acquisition module: used to synchronously acquire the energy harvesting density at different monitoring points on the bearing base and the current value of each magnetorheological superstructure unit; Feature recognition module: used to generate a real-time energy distribution map based on the gradient difference of each energy harvesting density, identify the location corresponding to the highest stress value as the target load concentration point based on the real-time energy distribution map, determine the target energy harvesting density corresponding to the target load concentration point, and identify the initial stress transmission path inside the bearing base; Correlation calculation module: used to perform correlation calculation between the target energy harvesting density and the current value corresponding to the target load concentration point to obtain an energy efficiency matching value that characterizes the surplus or deficit state of the suppression capability; Execution decision module: used to determine whether the energy efficiency matching value is less than a preset energy efficiency safety threshold; If the judgment result is yes, adjust the excitation magnetic field strength gradient of the magnetorheological superstructure unit to drive the initial stress transmission path to migrate to the redundant bearing area other than the target load concentration point, and form a reconstructed stress transmission path; If the judgment result is negative, the surplus electrical energy corresponding to the target load concentration point will be allocated to the magnetorheological superstructure unit with an energy harvesting density lower than the preset energy threshold. Topology correction module: used to monitor in real time the evolution trend of energy harvesting density after the execution of the excitation magnetic field strength gradient adjustment or the surplus power allocation, and feed the evolution trend back to the generation of the real-time energy distribution map. By comparing the correlation between stress transfer amount and excitation magnetic field strength gradient, the topology mapping parameters of the initial stress transfer path or the reconstructed stress transfer path are corrected.

9. An electronic device comprising a memory and a processor, characterized in that: The memory is used to store computer-executable instructions, and the processor is used to execute the computer-executable instructions, which, when executed by the processor, implement the steps of the method as described in any one of claims 1 to 7.

10. A computer storage medium storing computer-executable instructions thereon, characterized in that: When the computer-executable instructions are executed by a processor, they implement the steps of the method as described in any one of claims 1 to 7.

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