363 results about "Digital analog" patented technology

The invention relates to the technical field of satellite communication, in particular to a high-orbit and low-orbit satellite communication resource scheduling method and system, which collects real-time state information of high-orbit and low-orbit satellites, performs digital simulation of a satellite network based on the real-time information, constructs a satellite network management model and predicts satellite trajectory change. The method comprises the following steps: performing multi-dimensional evaluation on a satellite network management model by using a pre-constructed network evaluation framework, generating cross-orbit link evaluation information, analyzing parameters such as link quality and bandwidth, obtaining current service demand information, analyzing a communication resource allocation strategy in combination with a cross-orbit link evaluation result, and formulating a resource scheduling strategy according to strategy analysis. And a high-orbit and low-orbit satellite communication network is constructed through execution of a hierarchical network management mechanism and a cross-orbit data transmission protocol.

The invention relates to the technical field of fire early warning, and discloses a tunnel fire early warning method and system based on deep learning, and the method comprises the steps: deploying a sensor, constructing a wireless transmission network, and obtaining multi-modal data; carrying out preprocessing, feature extraction and feature fusion on the multi-modal data; constructing a tunnel fire early warning model adapted to the construction environment and designing a dynamic threshold mechanism; and designing a multi-level early warning response mechanism and carrying out early warning. According to the invention, the dust-proof smoke sensor is arranged to overcome the problem of susceptibility to dust interference; sampling frequency and communication frequency are automatically adjusted according to monitoring requirements during data transmission, so that the monitoring effect is ensured and the service life of a battery is prolonged; a tunnel fire early warning model based on TCNN is constructed, and a large-scale fire data set is constructed through FDS digital simulation to train the model; a dynamic threshold value capable of being automatically adjusted according to the environment is designed, and the problem that a fixed threshold value system does not adapt to the changing environment is solved.

The invention relates to the technical field of light source control, and discloses a self-adaptive regulation and control method and device for wafer detection light source brightness, and the method comprises the steps: carrying out the preliminary irradiation of a wafer through a preset annular light source, collecting initial image data, carrying out the digital simulation according to the initial detection data, and generating a wafer detection feedback model; analyzing a light source irradiation demand according to the detection feedback model, generating a gradient execution scheme, sequentially configuring light source parameters according to the gradient scheme, carrying out multiple rounds of detection on a wafer, collecting data, feeding detection data back to the model, carrying out parameter adjustment, carrying out expanded light source detection demand analysis on the adjusted model, and generating an expanded detection scheme. According to the method, by automatically adjusting the brightness and configuration of the light source, efficient and accurate wafer surface defect detection is achieved, the detection precision and efficiency are improved, the method adapts to the detection requirements of different wafers, and the problem that in the prior art, due to the fact that the light source used for detection is not comprehensive enough, the defect is not detected is solved.

The invention relates to the technical field of digital simulation, and discloses an emergency rescue method and system based on unmanned aerial vehicles and an urban three-dimensional platform, and the method comprises the steps: calling an emergency rescue region model through the urban three-dimensional platform, driving an unmanned aerial vehicle formation to go to an emergency region to obtain real-time region information, and employing a pre-trained accident condition image recognition algorithm to recognize an accident condition image; accident condition characteristics such as smoke and fire, fire fighting access blockage, emergency exit blockage, urban inland inundation, dangerous slopes, dangerous building detection, illegal building of building roofs, river channel floating object recognition and high-voltage electric tower inclination monitoring are identified, and the accident condition characteristics are substituted into the regional three-dimensional model to generate an accident simulation model. Real-time accident condition feedback is provided through the accident simulation model, rescue workers are assisted to make scientific rescue decisions, through comprehensive analysis and accurate simulation of an emergency rescue area, the detection efficiency of the unmanned aerial vehicle is improved, the timeliness and accuracy of rescue are enhanced, and the problem that in the prior art, the efficiency is low through manual collection of the current accident condition is solved.

The invention relates to the technical field of building construction, in particular to a foundation pit dewatering prediction method based on a digital twinborn technology, which comprises the following steps of: 1, establishing a multi-source data fusion layer; 2, establishing a digital twin modeling layer; 3, establishing an intelligent prediction algorithm layer; 4, establishing a dynamic optimization decision layer, and generating a precipitation well optimization scheme based on a prediction result; according to the method, engineering geological data of a geological survey report before excavation of the building foundation pit, historical meteorology of a building location and hydrogeological data are utilized, digital twinning is carried out on precipitation during the whole construction period of the proposed building foundation pit on the basis of a digital twinning technology, the precipitation period, daily precipitation and influence of precipitation on foundation pit supporting are predicted, and the foundation pit supporting effect is improved. According to the method, the influence of settlement deformation of surrounding buildings is reduced, digital simulation is provided for smooth construction of a whole project, and measurement and prediction are provided for the project and the surrounding environment, so that the construction cost is greatly reduced.

The invention belongs to the technical field of digital twinning and water conservancy management, and discloses a digital twinning water conservancy dynamic prediction and simulation method based on an AI technology, the dynamic prediction and simulation method is realized based on a digital twinning platform, and the specific steps are as follows: S1, constructing a digital twinning scene; s2, preparing model prediction training data; s3, training a prediction model; s4, realizing future prediction; and S5, performing future digital twinning simulation. By introducing the AI learning model and constructing the three-dimensional water conservancy digital simulation scene, a large amount of data is provided for the model, the model is further enabled to automatically learn and extract a complex nonlinear relationship from a large amount of historical data and real-time monitoring data, the prediction precision of hydrological data is remarkably improved, and the prediction efficiency of the hydrological data is improved. Compared with traditional static prediction, the method not only can adaptively adjust prediction parameters, but also can perform dynamic adjustment according to continuously updated environment data, and has higher real-time performance and reliability.

The invention relates to the technical field of computer aided design, in particular to an energy-saving building design method based on digital simulation, which comprises the following steps: analyzing air velocity, temperature gradient, density and pressure distribution based on indoor aerodynamic parameters, identifying air vortex structure characteristics, and generating an energy-saving building environment data set. According to the method, aerodynamic characteristics in a building are accurately recognized, the vortex structure analysis capacity is improved, the air flowing path is optimized, aerodynamic parameters are combined, thermal resistance and heat conduction materials are matched, the building envelope layer is adjusted, heat flow transmission is guided, heat loss is reduced, the heat energy utilization rate is increased, and the spectral characteristics of the materials are adjusted according to illumination redundancy; the lighting efficiency is optimized, the heat load is reduced, outer wall heat transfer is optimized in combination with airflow characteristics, the ventilation rate is dynamically regulated and controlled, airflow short circuit is avoided, heat flow, illumination and ventilation parameters are integrated, precise optimization of building energy consumption is achieved, and the energy efficiency regulation and control level is improved.

The subject matter described herein relates to various antenna element configurations, antenna array configurations, their operations including various systems and methods to generate modulated data for transmission by an RF antenna array via an optical processing engine. The subject matter includes optical processing engine structure and methods (e.g., modulating in the optical domain, MIMO and spatial modulation via RF beam formation, coherent transmission of RF signal components, coherent operation of spatially separate RF antenna arrays) that may be implemented with the various RF antenna array structures. In some examples, the system combines the virtues of digital, analog and optical processing to arrive at a solution for scalable, non-blocking, simultaneous transmission to multiple UE-s. Much of the system architecture is independent of the RF carrier frequency, and different frequency bands can be accessed easily and rapidly by tuning the optical source (TOPS). In some examples, multiple communication channels may be transmitted simultaneously to different locations. The transmitter may be formed by an array of optically fed antennas.

The present invention discloses a galvanometer control communication system, a communication method and a laser device of a laser device, wherein the communication method comprises: a marking control card sends data in frames that conform to a preset protocol format to the galvanometer; the galvanometer identifies the type identification character in each frame of data from the received data, and if it is a first type identification, the position information is determined according to the frame data, and sent to the digital analog conversion chip of the galvanometer to convert the position information into a drive instruction, and send it to the actuator of the galvanometer; if the type identification character is identified as a second type identification, the corresponding control command is determined according to the frame data, and the control command is defined as a request for information to be transmitted back to the galvanometer end; in response to the control command, the galvanometer sends the information requested to be transmitted back in the control command to the marking control card. The communication method of the present invention takes into account both the control of the galvanometer position and the monitoring of the galvanometer working state.

The invention relates to the technical field of digital simulation, and discloses an emergency rescue method and system based on unmanned aerial vehicles and a three-dimensional urban platform. The invention retrieves an emergency rescue regional model through the three-dimensional urban platform, drives a formation of unmanned aerial vehicles to the emergency region to obtain real-time regional information, utilizes a pre-trained accident situation image recognition algorithm, identifies accident situation characteristics such as fireworks, firefighting passage blockage, safety exit blockage, urban waterlogging, dangerous slopes, dangerous building detection, illegal construction on building roofs, river floating object identification, and high-voltage tower tilt monitoring, substitutes the accident situation characteristics into a regional three-dimensional model to generate an accident simulation model, provides real-time accident situation feedback through the accident simulation model, assists rescue personnel in making scientific rescue decisions, improves the detection efficiency of unmanned aerial vehicles through comprehensive analysis and precise simulation of the emergency rescue region, enhances the timeliness and precision of rescue, and solves the problem of low efficiency in manually collecting accident status in the prior art.

The invention provides a measurement and jet printing integrated device and method for a complex curved surface, and belongs to the field of advanced manufacturing, and the device comprises a motion module, a jet printing and measurement module, an integrated control module, a voltage control module and an air pressure control module. And the motion module can move independently, so that the functions of measuring and jet printing function switching and jet printing height adjustment according to the measured height are realized. The jet printing and measuring module is used for achieving the functions of pattern jet printing and jet printing height detection in the technological process. According to the method, the mode that the actual height of the jet printing needle and the surface of the workpiece is measured multiple times in the jet printing process and the height of the spray head is adjusted is adopted, the height change of the spray head in the complex curved surface jet printing process is reduced, the defects caused by inaccurate digital analog in the complex curved surface jet printing machining process are reduced, and the production efficiency is improved. The problems that in a complex curved surface application scene, the jet printing height of an existing jet printing method cannot be changed according to the curved surface height, so that the jet printing quality is low, and defects are serious are solved, and the jet printing quality is improved.

The invention provides a digital twinborn medical education training method and system. The method comprises the following steps: generating case information and scoring rules of AI digital patients based on clinical real cases; constructing a physical training environment which comprises a training model, an environment construction object and an operation sensing device; creating a digital training environment mapped with the physical training environment in real time, wherein the digital training environment comprises an AI digital dummy and an interactive operation process; responding to operation input of the trainee in the physical training environment or the digital training environment; through a server synchronization engine, real-time bidirectional interaction between entity operation of the physical training environment and virtual operation of the digital training environment is realized; and dynamically collecting cross-environment operation data, and generating a clinical ability evaluation report based on case information and scoring rules. The method has the beneficial effects that a medical education evaluation-diagnosis-treatment full operation chain is deeply fused, the clinical practice ability is remarkably improved, and medical risks are effectively prevented and controlled.

The invention discloses a fast-locking low-jitter sub-sampling phase-locked loop structure. The sub-sampling phase-locked loop comprises a sub-sampling Bang-Bang phase discrimination circuit, a self-adaptive variable step size digital filter circuit, a delta sigma digital-to-analog conversion circuit and an oscillator circuit. The sub-sampling Bang-Bang phase discrimination circuit generates a phase discrimination output digital control signal according to an input reference signal and a feedback oscillator signal phase error, the adaptive variable step size digital filter circuit adaptively adjusts a filtering gain according to the phase discrimination output digital control signal, and the output of the filter circuit realizes digital-analog conversion after oversampling modulation. And the output analog signal controls the voltage-controlled oscillator to realize rapid low-jitter phase locking of the output and the reference signal.

The invention relates to the technical field of solar cell panel control, and discloses an operation control method and system for a solar cell panel, and the method comprises the steps: obtaining the specification information of the solar cell panel, setting the positioning information, carrying out the digital simulation according to the specification and positioning information, and generating a light receiving performance model and a sunlight environment model; generating a current-day illumination simulation model by combining seasonal and climatic factors by utilizing a historical database, analyzing the illumination simulation model and a light receiving performance model to obtain initial light receiving characteristics and a preset light receiving track, continuously recording illumination conversion electric energy of the cell panel to correct the preset light receiving track, and adjusting an inclination angle of the cell panel to obtain a current-day illumination simulation model. The energy conversion efficiency of the solar cell panel is improved, sunlight resources are fully utilized, different seasons and climate changes are adapted, the performance of the solar cell panel in a changing environment is enhanced, and the problem that in the prior art, the efficiency of collecting illumination data in real time for angle adjustment is low is solved.

The invention discloses an ODAC implementation system and method based on a five-segment thermo-optical phase modulator, and relates to the technical field of optical communication, and the method comprises the following steps: obtaining single-mode laser input, dividing the single-mode laser input into two paths through a multi-mode interference device beam splitter, and transmitting the single-mode laser input into an upper arm and a lower arm of a Mach-Zehnder modulator; the current is adjusted through the thermo-optic phase modulator to control the temperature, the refractive index is changed to introduce phase delay, and the phase difference of two arms of the Mach-Zehnder modulator is calibrated; on the basis of a five-segment thermo-optical modulator, hierarchical amplitude modulation is carried out on beam splitting light according to digital input, a phase space is constructed by utilizing weight combination, and a linear optimal discrete state is screened; the modulated light is combined by a multi-mode interference device beam combiner, and digital-analog mapping output of light intensity is carried out; a detector installed at an output port of the five-segment thermo-optical phase modulator is used for monitoring output optical power in real time, the output optical power is fed back to a control circuit to calculate errors, thermo-optical modulation current is dynamically adjusted to compensate offset point drift, and optical digital analog conversion is achieved.

The invention relates to the technical field of electric power systems, in particular to an intelligent regulation and control method and system for high-voltage feedback signals of multistage digital processing. A high-sensitivity sensor is used for collecting signals generated by high-voltage equipment, and collected analog signals are converted into digital signals through an analog-to-digital converter; filtering the digital signal through a digital signal processor, and transmitting the filtered signal to a microprocessor for analysis; and according to an analysis result of the microprocessor, a control instruction is generated through the decision algorithm module, and a feedback control signal is output after the control instruction is converted by the digital-to-analog converter. A multi-stage filtering strategy is adopted, including combined application of Kalman filtering and an adaptive filtering algorithm, and accurate processing is carried out on signals in a complex noise environment; intelligent closed-loop control is realized through cooperation of a multi-level decision-making mechanism constructed by an expert system and fuzzy logic and a self-learning optimization function; a modular design and a standardized interface are adopted, and a high-speed bus architecture is combined, so that high integration of the system is realized.

The invention relates to the technical field of safety early warning, and discloses a safety risk early warning method and system based on a low-code cloud platform, and the method comprises the steps: receiving the installation information of monitoring equipment, carrying out the digital simulation, generating a monitoring architecture model, carrying out the multi-level safety risk analysis, constructing an early warning management framework and a label set, and receiving a user interaction instruction. The method comprises the following steps: scheduling a label set, generating a real-time management model, deploying equipment working parameters, switching a monitoring mode, collecting data and carrying out space-time association and trend analysis to obtain an early warning result, realizes automatic and intelligent safety monitoring, improves the risk identification precision and response speed, enhances the flexibility and customizability of the system, and improves the safety of the system. The problem that in the prior art, a fixed early warning mode cannot adapt to all working modes of the same working scene is solved.

The invention discloses an offset cancellation circuit, which comprises a signal conditioning unit used for processing an input signal and outputting a first current signal, an offset cancellation unit used for removing offset current in the first current signal and outputting a second current signal, and a signal processing unit used for processing the second current signal and eliminating offset voltage, the detuning elimination unit specifically comprises a chopper, a digital analog converter, a successive approximation register logic module and a comparator which are connected in sequence, and through multi-level detuning elimination, the precision of the whole circuit is improved, the processing capacity for weak signals is enhanced, the anti-interference capacity is improved, and noise is reduced; the method ensures the stability of long-time operation, and has a wide application prospect in the field of high-precision signal processing.

The invention relates to a square wave generation method and system based on a DDS signal transmitter, and belongs to the technical field of digital electronic signal synthesis. The method comprises the following steps: calculating a digital analog signal sampling frequency based on a square wave output frequency set by a user, and obtaining a digital fundamental frequency phase signal according to a phase-locked loop precision range; mapping the digital fundamental frequency phase signal into a sinusoidal amplitude signal according to a digital phase accumulation mechanism to obtain a digital-analog conversion clock, binarizing the sinusoidal amplitude signal, and outputting a square wave output period; dividing a square wave output period into a low level region and a high level region according to the precision range of the phase-locked loop, reading a square wave output frequency set by a user through a random storage address, and outputting a non-offset phase-locked square wave; and constructing an error accumulation self-checking architecture to calculate a frequency control word, and when detecting that the frequency control word has a decimal discarding error, recalculating the frequency control word.

The invention provides a clock taming and maintaining method and system and electronic equipment, and the method comprises the steps: controlling a voltage control oscillator to generate at least one reference clock through a digital-to-analog converter, and generating each target clock and a local clock according to the demands of the reference clock and each target clock; acquiring a reference signal for clock taming, and performing clock taming on each target clock based on the reference signal and the local clock to obtain a taming result; and acquiring a control value of the digital-to-analog converter and a current temperature value of the voltage-controlled oscillator, calculating a clock taming fitting curve based on the control value and the current temperature value, and performing clock holding based on the clock taming fitting curve. Therefore, the clock taming and maintaining cost can be reduced, the clock maintaining algorithm is simplified, and the clock taming efficiency is improved.

Techniques and apparatus for determining dynamic current mismatches in a current-steering digital-to-analog converter (DAC) are provided. One example technique generally includes accumulating current mismatches between a DAC cell of a plurality of DAC cells and a reference cell using a capacitive element and changing a polarity of the capacitive element during the accumulating. The timing of the accumulating may be controlled such that a static current mismatch between the DAC cell and the reference cell is at least reduced and a dynamic current mismatch between the DAC cell and the reference cell is enhanced.

An electronic user device is configured to obtain from an application server image data associated with a ticket having a scratching area, display a digital simulation of the scratching area of the ticket on a user interface; receive user-provided scratching input at an input module, and digitally simulate the scratching area of the ticket being scratched on the user interface in accordance with the user-provided scratching input.

The invention relates to an automobile engine hood baking deformation simulation method, and relates to the technical field of automobile body manufacturing. The method comprises the following steps: extracting a CAD digital model of an automobile engine hood assembly from three-dimensional modeling software of automobile body design; importing the digital analog into pretreatment software to generate a part grid of the automobile engine hood assembly; the part grids are imported into simulation software; setting a support reference point of the part grid, a hood material characteristic parameter, a damping rubber characteristic parameter and an external loading condition; and simulation analysis is carried out according to analysis steps corresponding to preset coating and baking procedures, and a deformation cloud picture of the automobile engine hood assembly affected by temperature change and damping glue expansion and curing is generated. By adopting the method, product structure factors influencing engine hood baking deformation can be predicted and analyzed in the early stage of a new vehicle type project.

The invention relates to the technical field of printing control, and discloses an intelligent printing job scheduling method and device and a storage medium, and the method comprises the steps: obtaining the production process, performance and layout information of each job unit, carrying out the digital simulation based on the information, building a basic and deep digital model, collecting task target data, and simulating a job scheduling scheme. The method comprises the steps of obtaining equipment load information, analyzing logistics evaluation information of different scheduling schemes, evaluating each scheduling plan, selecting an optimal scheme, issuing a job scheduling strategy, tracking the equipment load in real time and adjusting a job scheduling plan, and the method optimizes job scheduling through digital simulation, prediction and evaluation, effectively improves the production efficiency, reduces the fluctuation of the equipment load, and improves the working efficiency. The flexibility and stability of a production line are enhanced, and the problem that in the prior art, the efficiency is poor due to the fact that printing process plans are controlled through artificial experience is solved.

The invention discloses a high-precision dynamic compensation method and circuit for I / O electric leakage, and the method comprises the steps: monitoring the voltage of an I / O port in real time through an I / O voltage detection module, precisely sampling the electric leakage current through an I / O electric leakage sampling module, and carrying out the processing through an electric leakage monitoring resistor network, an electric leakage monitoring module, a voltage-to-current generator module and the like. The electric leakage direction is determined by the electric leakage current direction judgment detector, and finally the I / O electric leakage dynamic compensation module outputs adaptive current to compensate electric leakage. In addition, parameters can be adjusted through a specific model formula, accurate compensation of electric leakage under different conditions is achieved, the problems of I / O electric leakage direction detection, dynamic monitoring, compensation and the like can be effectively solved, digital and analog function multiplexing at the same I / O port is achieved, the performance of an analog circuit sensitive to I / O electric leakage is improved, and the advantages of high precision and dynamic compensation are achieved.

The invention discloses a printing-shooting process image degradation simulation method, device and equipment based on a graph-to-graph diffusion model, and aims to solve the problems that an existing degradation simulation method is greatly different from a real physical process and cannot be accurately controlled. The method comprises the following steps: firstly, constructing a printing-shooting data set containing a plurality of printing parameters and shooting parameters; then coding the physical parameters into conditional control vectors, and injecting the conditional control vectors into a Unet network of a graph-to-graph diffusion model for training; when an image is generated, an innovative double-flow noise layer structure is adopted, the structure combines a first branch adopting a traditional digital simulation method and a second branch adopting the pre-training diffusion model in parallel, and one of the first branch and the second branch is selected to be output according to a preset probability. According to the method, a highly vivid degraded image can be generated, so that the robustness and accuracy of downstream tasks (such as deep watermarking and image recognition) in a real printing-shooting scene are remarkably improved.

The invention relates to the technical field of optical fiber wireless communication and mobile forward transmission, in particular to a digital analog optical fiber wireless forward transmission transmitting end parameter self-adaptive optimization method and system based on reinforcement learning. Decomposing the normalized wireless signal into digital parts of all levels and a final analog residual error part through multi-level modulation, and transmitting the digital parts and the final analog residual error part in a time division multiplexing manner; a receiving end represents inter-symbol interference caused by link nonlinear distortion and bandwidth limitation, and the signal-to-noise ratio of a recovery signal is calculated based on the error vector amplitude. Parameters of a transmitting end are optimized and modeled into a Markov decision process, states comprise rounding factors, scaling factors, constellation forming factors and pre-equalization filter tap coefficients of all levels, and actions are discrete increments of the parameters; a reinforcement learning agent is constructed by using a dual deep action value network, and training is updated in combination with experience playback and a target network. The reward function comprises a threshold satisfaction item and a signal-to-noise ratio change item; parameters are interactively updated in the training stage, and online self-adaptive adjustment is performed in the reasoning stage.

The invention relates to the technical field of wireless communication, and provides a multi-band intelligent antenna array beam forming method and device, equipment and a medium. Dynamic frequency band switching is carried out according to multi-dimensional environment data to obtain frequency band decision parameters, three-dimensional beam modeling is carried out according to the frequency band decision parameters to obtain a beam weight matrix, and hybrid precoding is carried out on the beam weight matrix according to a coding mode to obtain a digital-analog precoding matrix. Performing temperature compensation correction on the digital-analog precoding matrix according to the array temperature distribution data to obtain an optimized precoding matrix, and performing federated learning optimization on a local beam weight model according to the optimized precoding matrix to obtain a global beam forming weight, and performing phase error iterative correction on the global beamforming weight according to the radiation field distribution data to obtain an antenna array control signal. According to the invention, through multi-stage and full-link optimization processing, a complex dynamic environment can be adapted, and a high-precision beam forming effect is ensured.

The invention discloses a public examination interview simulation system based on VR and a large language model, and relates to the technical field of interview virtual digital simulation, and the system comprises a VR interaction module which comprises a head-mounted virtual reality display, a gesture sensor, a pressure sensor and a voice collection port, and is used for constructing a virtual examination room scene; the data processing module is connected with the VR interaction module and is used for collecting the voice, pressure indication and action data of the examinee; the large language model analysis module is trained based on a public operator interview question bank, analyzes answer contents of examinees in real time, and generates scores and improvement suggestions; the feedback output module combines the scoring result with the dynamic mouth shape and gesture of the virtual examiner, and presents the scoring result to the examinee in real time through a VR scene; the simulation process comprises the steps of examinee sign-in, examinee drawing, examinee waiting for examination, examinee interview answering and examiner feedback evaluation. According to the simulation system, the interview cost is remarkably reduced, meanwhile, the consistency and objectivity of evaluation are ensured, and examinees are helped to achieve digital public examination interview simulation.

The invention discloses a photovoltaic panel site intelligent inspection method and system and electronic equipment, and the method comprises the steps: collecting site information of a photovoltaic power station to be inspected, the site information comprising surrounding environment information and terrain geographic information; based on the site information, constructing a three-dimensional digital simulation scene corresponding to the photovoltaic power station to be inspected; planning an optimal inspection path based on the three-dimensional digital simulation scene; and through the optimal inspection path, constructing a path prediction model of the unmanned aerial vehicle by adopting a long short-term neural network LSTM, and introducing a reinforcement learning mechanism to perform iterative training on the path prediction model of the unmanned aerial vehicle, thereby optimizing the flight strategy and path planning capability of the unmanned aerial vehicle. According to the invention, automatic inspection of a photovoltaic panel site is realized, maintenance and supervision are carried out by only a small number of personnel, the labor cost is greatly reduced, and unnecessary loss of the unmanned aerial vehicle in the flight process is reduced through an optimized flight path and intelligent flight control.