2301 results about "Wind power generator" patented technology

The invention relates to the technical field of fault diagnosis, in particular to a wind driven generator fault diagnosis method and system based on Mamba-ResNet. The method comprises the following steps: carrying out feature extraction and feature fusion by utilizing preprocessed data, namely constructing adaptive window short-time Fourier transform (AW-STFT) to carry out dynamic time-frequency resolution analysis, carrying out parallel feature extraction and constructing a multi-dimensional heterogeneous feature vector, and carrying out a cross-modal adaptive gating fusion mechanism based on a bidirectional cross gating unit; the method comprises the following steps: constructing a Mamba-ResNet hybrid deep network model architecture; performing model training on the constructed network model architecture; and performing fault diagnosis on the wind driven generator by using the trained model architecture. A tedious manual feature design process in a traditional method is avoided, and the automation level and adaptability of a diagnosis system are remarkably improved.

The invention discloses a dynamic monitoring method and system for settlement and inclination of a tower drum of a wind generating set, and relates to the technical field of safety monitoring of wind power generation infrastructure, the method comprises the following steps: synchronously collecting inclination data and positioning data of each monitoring point, and carrying out space-time alignment to obtain a fusion data set; decoupling the dynamic elastic response of the tower drum and the steady-state deformation of the foundation from the fused data through frequency domain analysis, and further calculating the overall inclination rate, the settlement amount and the non-uniform settlement rate of the tower drum; performing safety assessment based on the calculated parameters and a preset safety threshold, and determining a basic safety state and a risk mode; and finally, generating graded early warning information and decision information including risk positioning and trend prediction according to an evaluation result. Through the above mode, the method achieves the precise separation and monitoring of the dynamic deformation characteristics of the tower drum, improves the accuracy of safety evaluation and the timeliness of early warning, and provides an effective data support for the operation and maintenance decision of a wind generating set.

The invention relates to the technical field of wind driven generator driving control, and discloses a wind driven generator rotor turning-over driving control method based on torque and rotating speed cooperation, which comprises the following steps: before operation, controlling a motor to execute forward and reverse quasi-static micro-motion, and collecting an average electromagnetic torque; pure gravity and friction components are separated by using torque arithmetic sum and difference, gravity model gain is corrected, and friction compensation is configured; a feed-forward torque is calculated in combination with a real-time angle, and friction compensation and speed loop feedback are superposed to generate a current instruction; according to the method, gravity and friction are decoupled through physical symmetry, model parameter errors are eliminated, hidden dangers of integral lag and out-of-control rotating speed when the variable polarity load passes through a dead point are avoided, and stability and safety of the turnover process of the hundred-ton rotor are ensured.

The invention discloses a wind power generation device and a wind power generation control method.The wind power generation device comprises a supporting column, a sensor and a wind power generation mechanism, the wind power generation mechanism comprises a generator and a fan blade set, the wind power generation device further comprises a speed reduction mechanism, the speed reduction mechanism is electrically connected with a control system, and the sensor is electrically connected with the control system; when the sensor detects that the external wind speed reaches the first preset value, the control system controls the speed reduction mechanism to blow air to the fan blade set, speed reduction is conducted through blowing, a braking speed reduction structure does not need to be additionally installed between the blades and the generator, and therefore mechanical abrasion and maintenance cost are reduced; a complicated mechanical braking speed reduction structure is not arranged, so that the design of the wind driven generator is simpler, the weight is lighter, and the installation and the maintenance are more convenient; and mechanical parts are reduced, so that the reliability of the whole system is improved, potential fault points are reduced, and the service life of the wind driven generator is prolonged.

The invention relates to the technical field of wind driven generator control, in particular to a thermal management system and method for a wind driven generator, and the system comprises a data collection layer, a prediction module, a digital twin model, an intelligent control and diagnosis engine, and a heat dissipation execution mechanism. In the prior art, an open-loop or simple feedback control scheme based on a real-time temperature threshold value is mainly adopted, the problem of response lag exists, and all heat dissipation parts always work independently and lack cooperation, so that the energy efficiency is low; according to the invention, a closed-loop intelligent thermal management scheme based on a digital twin model is adopted, and real-time simulation and future state prediction are carried out by constructing virtual mapping of a generator thermal system, so that a control system can actively and cooperatively manage all heat dissipation resources according to a simulation result; the method has the core advantage of converting passive into active, and can intervene in advance before excessive accumulation of heat, so that collaborative optimal control of all parts of the system is realized, and the accuracy, timeliness and overall energy efficiency of heat management are remarkably improved.

The invention belongs to the technical field of wind driven generator state monitoring, and discloses a millimeter wave and vision fused fan blade clearance monitoring system, which comprises a central processing unit, a wind driven generator, a millimeter wave radar sensor, a millimeter wave radar sensor and a millimeter wave radar sensor, and is characterized in that the central processing unit establishes a reference time difference according to blade transit timestamps acquired by the vision and millimeter wave radar sensor; during operation, a blade instantaneous angular velocity is determined by using visual data so as to correct a real-time timestamp, a comparison result of a dynamic time difference and a reference is calculated and is used as an initial diagnosis signal, and risk levels are discriminated by analyzing Doppler spectrum width characteristics of radar echoes in case of abnormality. According to the method, the fan master control system has the capability of distinguishing and recognizing the individual state abnormity of the single blade for the first time, the monitoring granularity is lowered to the component level from the complete machine level, and the improvement from passive response type control to predictive adaptability control is achieved.

The invention discloses a strong anti-overturning power generation device and method based on wind wave combined capture, and the device comprises a four-column type semi-submersible fan platform and a wind driven generator located above the four-column type semi-submersible fan platform, and the four-column type semi-submersible fan platform comprises hollow columns. The bottom of the hollow stand column is fixedly connected with the bottom of the outer side stand column through a horizontal column, a floating wave energy absorption system is arranged on the outer side of the outer side stand column, and the output end of the floating wave energy absorption system is connected with the input end of a power generator system through a bevel gear power generation system in the hollow stand column. One end of the floating wave energy absorption system is connected with the spring system in the hollow stand column; the core technical problems that an existing device is poor in stability, high in cost, low in efficiency, weak in adaptability and the like are solved.

The present disclosure relates to a standby power supply, including: a first sub power supply configured to provide alternating current electrical energy, where the first sub power supply is connected to an input terminal of an alternating current / direct current (AC / DC) converter; the AC / DC converter configured to convert the alternating current electrical energy into direct current electrical energy, where an output terminal of the AC / DC converter is connected to an output terminal of the standby power supply; and second sub power supplies configured to provide the direct current electrical energy, where the second sub power supplies are connected to the output terminal of the standby power supply. Through the present disclosure, a standby power supply solution having high reliability and capable of meeting power consuming requirements of a load with a great change in power demand such as a wind generator may be provided.

The invention discloses a wind generating set transmission chain fatigue load prediction method and system considering sandstorm characteristics, and belongs to the technical field of wind power generation and structure fatigue prediction. According to the method, a wind speed time sequence capable of representing sandstorm evolution characteristics is obtained and serves as external physical excitation to be input into a wind-machine-electricity coupling state space model, and a dynamic torque time sequence of a transmission chain low-speed shaft is obtained through calculation; on the basis, a load spectrum is generated by adopting a rain flow counting method, and the accumulated fatigue damage degree corresponding to the sandstorm event is calculated in combination with the Miner linear accumulated damage criterion and the S-N curve of the low-speed shaft material; and further comparing the damage degree with a preset threshold value, and when the damage degree exceeds the threshold value, automatically generating a preventive active load reduction control strategy aiming at the sandstorm, thereby realizing a closed loop of prediction and control. According to the method, the influence of extreme non-stable wind conditions such as sandstorm and the like on the fatigue damage of the transmission chain can be quantitatively evaluated, and technical support is provided for safe operation and predictive maintenance of a wind turbine generator in extreme weather.

The invention provides a wind power blade fatigue damage early warning method and system based on modal energy excursion, and relates to the technical field of wind driven generators. According to the method, a multi-dimensional health baseline library is established under the healthy state of a wind power blade, and a current total strain signal and temperature distribution are synchronously collected in the operation process of a fan; performing temperature-strain decoupling on the total strain by using a healthy baseline library, and accurately extracting a real mechanical strain signal caused by the mechanical load; on the basis, a working condition modal recognition method is adopted to steadily obtain a current inherent frequency and a strain modal shape from real mechanical strain; calculating a current modal energy proportion and comparing the current modal energy proportion with the health baseline to generate an offset index reflecting a modal energy localization degree; and finally, in combination with the amplitude, the duration and the dynamic evolution trend of the offset index, and in combination with a fatigue accumulated damage assessment result, performing graded early warning judgment, and realizing early perception, accurate positioning and risk graded output of the fatigue damage of the blade.

The embodiment of the invention provides a load balancing control method of a variable pitch system, which comprises the following steps of: continuously acquiring blade root bending moment and rotor azimuth angle signals, accurately preprocessing to obtain 1P harmonic information of bending moment in a flapping direction, and updating accumulated wear conditions of each blade under different azimuth angles in real time based on the 1P harmonic information. According to the method, a dynamic abrasion map is established, the active balance variable pitch offset is actively calculated based on the abrasion map, the load is intelligently guided from a heavily-abraded area to a lightly-abraded area, and a refined blade variable pitch angle is finally formed in combination with traditional IPC correction and a collective variable pitch instruction. In this way, key components such as the variable pitch bearing are prevented from bearing overhigh local stress for a long time in a specific azimuth angle, uniform abrasion of rolling bodies or raceways is achieved, and therefore local fatigue damage is remarkably reduced, and the service life of the variable pitch bearing of the wind generating set and the service life of related components are prolonged.

The invention relates to a transmission device, a transmission system, a wind generating set and a maintenance method, the transmission device comprises a shafting assembly and an interference magnitude adjusting device, the shafting assembly comprises a main shaft and a bearing, the bearing is arranged around the main shaft, an inner ring of the bearing is in interference fit with the main shaft, and the main shaft is provided with a hollow cavity. The interference magnitude adjusting device is arranged in the hollow cavity and used for applying acting force to the inner wall face, defined by the main shaft, of the hollow cavity, so that the main shaft deforms to adjust the interference fit amount between the main shaft and the inner ring of the bearing. The bearing ring running probability can be reduced, and the power generation benefit of the wind generating set is guaranteed.

The utility model relates to the technical field of anti-loosening bolts, in particular to an anti-loosening bolt for a wind driven generator, which comprises a bolt and a nut, the bolt comprises a head and a screw rod, the nut is in threaded connection with the surface of the screw rod, a sliding groove is arranged on the surface of the screw rod, and a circular ring base plate is sleeved on the surface of the screw rod. And a limiting block is fixedly connected to the inner arc surface of the circular ring base plate, the limiting block is clamped in the sliding groove, an inserting groove is formed in the surface of the circular ring base plate, and a locking mechanism is fixedly connected to the surface of the nut. The bolt and the nut can be fixed through matching of the circular ring base plate and the locking mechanism on the nut, so that connection between the bolt and the nut is firmer, the problem of bolt loosening caused by various complex working conditions such as vibration, high and low load changes and strong wind impact in the operation process of the wind driven generator can be effectively solved, and the service life of the wind driven generator is prolonged. The reliability of bolt connection is greatly improved, and stable connection of all parts of the wind driven generator is ensured.

The invention provides a wind power blade early crack intelligent evaluation method and system based on acoustics and vibration signal fusion, and a related device. The method comprises the following steps: acquiring a fusion feature vector by using an acoustic emission signal and a vibration signal corresponding to each set key stress concentration area of a collected target wind power blade; taking the obtained fusion feature vector as a pre-constructed deep learning model to obtain an evaluation result; evaluating the health state of the target wind power blade based on the obtained evaluation result; according to the method, serious faults are effectively avoided, the operation safety and reliability of the wind turbine generator are remarkably improved, meanwhile, the operation and maintenance cost and shutdown loss are greatly reduced, and the accuracy, reliability and intelligent level of state monitoring of the wind turbine blade are comprehensively improved.

The invention relates to the technical field of new energy electric power construction and operation and maintenance, in particular to a new energy equipment virtual maintenance system and method supporting fault drilling. The system comprises five core modules: an asset and twinning modeling module constructs an electrical-mechanical-thermal multi-physics field coupling digital twinning model of a wind generating set, a photovoltaic inverter and an energy storage battery cluster, and drives a fault drilling engine; the fault drilling engine triggers a fault scene based on preset event-condition-action logic and a job ticket operation state, and activates a fault evolution chain through violation operation; the job ticket and process arrangement module simulates the whole maintenance process and checks security constraints in real time; the safety interlocking and protection simulation module verifies the operation in real time according to the relay protection constant value, triggers a protection action during violation and feeds back the protection action to the fault engine; and the virtual-real fusion interaction module synchronizes a virtual instruction to an engine and an external device through a communication protocol, so that the consistency of virtual-real operation and protection action is ensured, and co-simulation and security verification of the whole system are realized.

The utility model belongs to the technical field of wind power generation equipment, and relates to a main shaft device of a wind generating set, which comprises a front main shaft body, a middle main shaft body, a rear main shaft body, a front bearing outer ring, a rear bearing outer ring, a bearing seat, a front roller and a rear roller, the rear bearing outer ring is mounted at the other end of the bearing seat; the front roller is arranged in an annular space formed between the front bearing outer ring and the front main shaft body, and the rear roller is arranged in an annular space formed between the rear bearing outer ring and the rear main shaft body; the two ends of the middle spindle body are connected with the front spindle body and the rear spindle body respectively. The outer surfaces of the front main shaft body and the rear main shaft body are directly used as bearing raceways, and the bearing raceways, the corresponding front bearing outer ring, the corresponding rear bearing outer ring, the corresponding front roller and the corresponding rear roller form an inner-ring-free bearing system, so that the ring running phenomenon is avoided, and the stability of the main shaft in the running process is enhanced; and by splitting the main shaft, the overall size of the main shaft is reduced, and the manufacturing cost is reduced.

The invention relates to the field of wind driven generators, and particularly discloses a floating type vertical axis wind turbine multi-partition variable pitch control strategy which comprises the steps that S1, basic parameters and operating condition parameters of a unit are obtained; s2, establishing an aerodynamic model based on a double-disk multi-flow management theory and a superposition wind speed method; s3, measuring parameters through a sensor, and calculating a theoretical attack angle of the blade; s4, establishing a multi-partition pitch angle change function based on the theoretical attack angle; s5, constructing an NSGA-II multi-target optimization model, and taking maximization of an average power coefficient and minimization of a blade thrust standard deviation as targets; s6, substituting a function to obtain an optimal variable pitch control factor and an optimal pitch angle; and S7, the optimal pitch angle is converted into a variable pitch actuator instruction. The problems that an existing strategy is limited in partition, the wind direction influence is ignored, and optimal parameters for working condition adaptation are lacked are solved, the wind energy capture efficiency is improved, the load fluctuation is reduced, and the variable pitch control accuracy is improved.

The utility model discloses a novel bearing for a fan blade main shaft of a wind power generator, which relates to the technical field of generator bearing equipment, and comprises a bearing seat, a bearing seat base, a bearing cover, a sectional bearing bush, an upper bushing and a lower bushing, the top end of the bearing seat is provided with a circular-truncated-cone-shaped mounting groove, and the bottom end of the bearing cover is a circular-truncated-cone-shaped surface matched with the circular-truncated-cone-shaped mounting groove. A first gap is reserved between the outer wall of the upper bushing and the top wall of the circular-truncated-cone-shaped mounting groove and a first gap is reserved between the outer wall of the lower bushing and the bottom wall of the bearing cover, and a plurality of sectional bearing bushes are movably arranged in the first gaps at equal angles. Compared with the prior art, the service life of the bearing is prolonged, stable and long-acting operation of the wind driven generator is effectively guaranteed, smaller bearing bush segments are adopted, the difficulty in manufacturing, mounting and transporting the bearing bush is reduced, and only a small number of bearing bush segments which break down need to be replaced during maintenance.

The invention belongs to the technical field of wind power generation equipment, and discloses a sliding bearing, a wind power main gear box and a wind turbine generator. The sliding bearing includes a sliding layer. The sliding layer is deposited on the surface of the first member. When the first component and the second component rotate relatively, a lubricating oil layer is formed between the sliding layer and the second component, and the lubricating oil layer serves as a lubricating film with certain bearing capacity and can separate the sliding layer from the solid surface of the second component, so that dry friction is converted into liquid friction among molecules in the lubricating oil layer; the friction coefficient between the sliding layer and the second component is remarkably reduced, and therefore abrasion between the sliding layer and the second component is reduced. The sliding bearing has the advantages of being small in size, light in weight and good in economical efficiency. The sliding layer is made of the wear-resistant material and is deposited on the first component, so that the sliding layer forms a high-hardness and wear-resistant coating on the surface of the first component, and the service life of the sliding bearing can be prolonged.

The utility model provides an integrated valve group, a radiator assembly, a lubricating and cooling system and a wind generating set, the integrated valve group is used for the radiator assembly, the radiator assembly further comprises a radiating core body and a bypass channel, the bypass channel is connected with a radiating channel in the radiating core body in parallel, and the integrated valve group is arranged at an inlet of the bypass channel; the integrated valve group comprises a temperature control valve group and a pressure valve group which are integrated into a whole, and an inner cavity of the temperature control valve group is communicated with an inner cavity of the pressure valve group. By integrating the temperature control valve group and the pressure valve group, the integrated valve group can be opened under the condition that at least one of the opening temperature condition of the temperature control valve group and the opening pressure condition of the pressure valve group is met, so that the overall opening condition of a single valve body is widened, the problem of oil trapping of a radiator assembly can be solved, and the damage risk is reduced.

The invention discloses an inspection method and device for fan blades, a storage medium and computer equipment, and the method comprises the steps: obtaining point cloud data and image data collected for a target wind driven generator in the flight process of an unmanned aerial vehicle, and phase angles of all fan blades during data collection, and obtaining multiple groups of associated data based on the data; based on the point cloud data, constructing a curved surface model of each fan blade, and based on each piece of image data, determining a target defect area and a target defect type of each fan blade; positioning each target defect area on the corresponding curved surface model, and converting each target defect area from a first coordinate under a blade local coordinate system of the curved surface model to a second coordinate under a uniform global coordinate system at the same time based on the phase angle of each fan blade; and obtaining current operation data of the unmanned aerial vehicle, and constructing a fan blade inspection path of the unmanned aerial vehicle according to the current operation data, the target defect type and the second coordinates of each target defect area.

The invention discloses a polar region environment-oriented two-stage micro-siting optimization method for a wind generating set, and relates to the technical field of polar region renewable energy planning and wind power generation, the optimization method comprises the following steps: polar region environment parameter initialization and scene modeling; the first stage is grid primary selection based on mixed integer linear programming; the second stage is coordinate refinement based on a multi-population genetic algorithm; and scheme output and efficiency evaluation. According to the method, a sector reweighting mechanism of extremely cold correction parameters is realized through reweighting of biochemical parameters and scenes in an environment special for a polar region, the extremely cold correction parameters are directly embedded into a wind regime scene set and a power model, and the problem that a conventional land model can obviously underestimate or overestimate single-machine power and wake flow propagation distance under extremely low temperature and low roughness conditions, so that the reliability of the model is improved is solved. Therefore, the power prediction and wake flow loss evaluation are more practical under the polar region conditions such as the south pole, so that the engineering reliability of site selection decision and the accuracy of generating capacity prediction are improved.

The invention provides an optimal configuration method of a network construction type wind storage machine, a medium and computer equipment. The optimal configuration method comprises the steps that the machine end short-circuit ratio MRSCRG of each wind generating set connected to a power grid is calculated; calculating the grid-connected point short-circuit ratio MRSCRS of each wind power station accessed to the power grid; and according to the machine end short-circuit ratio MRSCRG of each wind generating set and the grid-connected point short-circuit ratio MRSCRS of each wind power plant station, determining the configuration mode of the grid-forming type wind storage machine.

The invention discloses a self-repairing graphene-based wind driven generator blade protection film and a preparation method thereof, and relates to the technical field of wind power generation equipment protection. The protection film adopts a gradient structure of a bonding buffer layer, a self-repairing functional layer and a multifunctional protection layer; the self-repairing functional layer comprises a hybrid network formed by hydroxylated functionalized graphene and elastomer particles and bionic packaging microcapsules, inner layer capsules containing graphene quantum dot reinforced resin and a latent catalyst curing agent are packaged in the microcapsules, multiple times of repairing of the same damaged area can be achieved, and the repairing strength is high; the multifunctional protective layer endows the coating with super-hydrophobic, anti-icing and ultraviolet-resistant functions through fluorinated graphene and nano TiO2 (at) ZnO composite particles; the preparation process is mature, the comprehensive protection performance is excellent, and the coating is suitable for wind driven generator blade protection in the severe environment.

A carousel lifting tower may facilitate assembly of a wind turbine generator (WTG) and other constructs. In one example, the carousel lifting tower includes a tower, which may be positioned in an upwardly angled orientation, and which may define a tower axis. In the example, the carousel lifting tower further includes a lift frame, which may be movably mounted on the tower to allow translation of the lift frame along the tower axis. Additionally, in the example, the carousel lifting tower includes a carousel coupled to the lift frame. The carousel may rotate about the tower axis. Moreover, in the example, the carousel lifting tower includes a load handler on the carousel. The load handler may releasably engage with a component to be lifted.

The invention discloses a real-time monitoring and early warning method and system for hoisting operation of a wind generating set, and relates to the technical field of wind generating set construction, the method comprises the following steps: establishing a digital twin model of a hoisting operation site, collecting state data in real time for dynamic coupling, and constructing a virtual monitoring network; performing short-term advanced parallel simulation in the network to obtain future state trajectory clusters under different potential interferences; extracting a key safety index time sequence from the trajectory cluster, and calculating a future instability risk probability; and when the risk probability exceeds an adaptive early warning threshold, generating multi-level early warning information and triggering active intervention. The technical problem that the instability risk is difficult to recognize and intervene in time due to the fact that the hoisting operation of the existing wind generating set lacks real-time prediction of the system state in a complex environment is solved, and the technical effects of real-time early warning and effective intervention in the hoisting process are achieved by constructing the digital twinborn monitoring network and carrying out risk propagation prediction.

Provided is a control method for de-icing blades of a wind power generator, including: Step S101: performing real-time monitoring of temperature of a surface of a blade of the wind power generator, and constructing a first positional temperature sequence at a time interval of v; and Step S102: calculating actual temperature at each position on the surface of the blade of the wind power generator according to the positional temperature sequence, and generating a second positional temperature sequence. In the present disclosure, it can be avoided that a discrepancy between the temperature acquired and the actual temperature of the surface of the wind power generator; and weight differences that may exist among three blades are taken into account, and synchronous de-icing operations are performed after eliminating the weight differences, so that ice treatment can be achieved without shutdown, and the stable operation of the wind power generator can be ensured.

The invention discloses a wind driven generator operation fault diagnosis method and system based on artificial intelligence, and relates to the technical field of data analysis. A monitoring signal set of the wind driven generator is acquired; preprocessing the monitoring signal set to obtain a target signal set; performing two-dimensional representation on the target signal set to obtain a vibration time-frequency diagram and a current time-frequency diagram; and taking the vibration time-frequency diagram and the current time-frequency diagram as input of a pre-trained fault diagnosis model to obtain a fault diagnosis result. Through fusion of the vibration signal and the current signal, the complementarity of multi-source data is fully exerted, and the pre-trained artificial intelligence model is combined, so that complex working conditions such as nonlinearity and coupling effect interference can be better handled, efficient diagnosis of the fault of the wind driven generator is realized, the accuracy and reliability of fault identification are improved, and the operation and maintenance efficiency is improved.

The invention provides a method and a system for optimizing power closed-loop response time of a wind and light storage system. The method comprises the following steps: collecting multi-source historical operation data of the wind and light storage system within continuous preset duration; carrying out global optimization on key parameters of the echo state network by adopting a sethead whale migration algorithm; based on the collected data, outputting an advanced prediction result of the output of the wind turbine unit, the output of the photovoltaic unit and the change trend of the energy storage SOC in a future time period through the optimized echo state network; taking the advanced prediction result as input, and based on a weighted objective function taking power tracking error minimization and power closed-loop response time minimization as targets, adopting an adaptive snake vulture optimization algorithm to solve the objective function to obtain optimal control parameters of the wind-solar storage system; the optimal control parameters are analyzed into real-time control instructions through the FPGA controller so as to drive the energy storage unit, the wind generating set and the photovoltaic generating set to execute power regulation and control, and collaborative optimization of power closed-loop response time shortening and tracking precision improvement is achieved.

The invention discloses an unmanned aerial vehicle inspection method and system for a wind turbine generator set, and belongs to the technical field of intelligent operation and maintenance of the wind turbine generator set. The method comprises the following steps: establishing a digital inspection task model based on the layout and historical operation fault data of the wind generating set, and generating an initial inspection path scheme; controlling the unmanned aerial vehicle to fly along the path, and collecting multi-source inspection data by using an airborne sensor; carrying out processing and fusion analysis on the data, realizing abnormity identification and fault diagnosis, and outputting a diagnosis result containing a fault type and a severity level; and generating a structured inspection report according to a diagnosis result, and dynamically adjusting a flight path, a hovering position and sensor parameters. According to the invention, intelligent optimization of the inspection path and adaptive control of data acquisition are realized, the inspection efficiency and the data quality are improved, real-time diagnosis and predictive maintenance of faults are supported, the labor cost and the safety risk are effectively reduced, and the method is suitable for intelligent operation and maintenance of a large-scale wind power plant.