273results about How to "Restore accurately" patented technology

The invention discloses an electromagnetic environment simulation method and system of a display module, a medium and a product, and relates to the field of electromagnetic variable measurement, and the method comprises the steps: receiving a test identification code inputted by a user, extracting a plurality of target scenes corresponding to the test identification code from a preset scene library, and generating a scene change sequence; determining a radio frequency interference source combination and a mechanical vibration parameter corresponding to the target scene; setting test parameters of the test time periods corresponding to the multiple target scenes, and generating a dynamic test sequence; receiving a key test scene marked by a user, and adjusting a test time period and test parameters corresponding to the key test scene to obtain a target test sequence; simulating an electromagnetic environment of the target display module, and recording simulation test parameters of the target display module; the simulation test parameters comprise display brightness, contrast and response time; and determining an electromagnetic compatibility evaluation result based on the target test sequence and the simulation test parameters. According to the invention, the accuracy of an electromagnetic compatibility test result can be improved.

The invention discloses a remote sensing data processing method and system, a product and a readable medium, and relates to the field of remote sensing data processing, and the method comprises the steps: carrying out the registration and correction of remote sensing images in different time periods, and obtaining a remote sensing image spatial-temporal index; calculating shadow ranges generated by each building in the target area at different times based on the building height data and the remote sensing image spatio-temporal index, and superposing the shadow ranges corresponding to the buildings to obtain a shadow coverage frequency map; calculating a shielding degree score of an area of each time phase in the shadow coverage frequency diagram based on a remote sensing image spatio-temporal index, and selecting an optimal time phase with the lowest shielding degree as an optimal observation time phase according to the shielding degree scores; based on the optimal observation time phase, dividing a region in the shadow coverage frequency diagram into a plurality of target sub-regions according to a shielding degree score; and repairing each target sub-region by adopting a preset repairing strategy according to the shielding degree score. By implementing the method, the accuracy of restoring the shadow-shielded region in the remote sensing image can be improved.

The invention relates to a virtual image expression generation method and system based on a real feeling technology. The method comprises the steps of collecting facial expression data in a multi-angle mode, and performing triangulation and facial region marking through the collected facial expression data; component analysis is carried out on the facial region, main features of facial expression changes are extracted, and a facial model is established through weighted fusion; establishing a mapping relation between the expression features and the facial displacement, and calculating a geometric constraint function of the facial displacement; correspondingly generating different expression models according to the geometric constraint function, optimizing details of a specific area and realizing dynamic face rendering on the virtual image; by introducing multi-view data acquisition, a multi-level feature extraction and fusion strategy, expression displacement regression analysis, geometric constraint and detail optimization, the authenticity and personalized effect of virtual expression generation are greatly improved.

The invention relates to the technical field of signal encryption, in particular to an aviation data bus signal encryption method and system based on a field programmable gate array (FPGA), which comprises the following steps of: based on input three-dimensional tensor signal data, extracting slices from a time index of an aviation data bus according to a fixed interval, progressively sequencing amplitudes of signal channels, and then segmenting; according to the method, through processing logic of matrix decomposition and feature curve generation, the feature extraction and dimension reduction process is optimized, the distinction degree and the expression capacity of feature information are improved, the randomness and the anti-cracking capacity of a key are enhanced through a key generation mode combining a dynamic disturbance factor and an encryption parameter, and the safety of signal transmission is guaranteed; through combination of amplitude superposition and frame-by-frame storage, dynamism and high efficiency of a signal encryption process are realized, signal tampering and eavesdropping risks are reduced, and through feature reconstruction and point-by-point matching processing in a decryption stage, accurate restoration of signal amplitude is ensured, and data integrity and anti-interference capability are guaranteed.

The invention belongs to the technical field of calibration simulation, and particularly discloses a cable partial discharge calibration simulation system based on a programmable control technology, and the system comprises a signal parameter setting module which can set standard signal parameters through a signal generator, and covers the frequency, the amplitude, the pulse width and the repetition frequency. The signal coupling transmission module enables the signal generator to generate a signal and couple the signal to a cable. The environment parameter acquisition module is responsible for acquiring environment temperature, humidity, magnetic field intensity and electric field intensity of the signal generator and the cable at each monitoring point. The environmental parameter correction module monitors signal parameters of each monitoring point of the cable in real time according to the collected environmental data and analyzes temperature, humidity, magnetic field and electric field correction indexes. And the signal parameter correction module corrects and analyzes the cable signal parameters accordingly. And the deviation degree abnormity judgment module analyzes the deviation degree index based on the standard and the corrected signal parameter, and judges whether the deviation degree index is abnormal or not for calibration.

The invention provides a production data management system based on artificial intelligence, and relates to the technical field of data processing. The system comprises a production data acquisition module, a multi-dimensional time sequence feature extraction module, a dynamic manifold analysis module, a production path optimization module, a vulcanization process anomaly analysis module and a vulcanization process optimization module. Multi-dimensional time sequence feature extraction and dynamic manifold analysis are carried out on key data, obtained by a data acquisition module, of a vulcanization process, a production manifold feature space containing complex dynamic characteristics of the vulcanization process is generated, a target vulcanization process path and a process interval are constructed based on the feature space, and reference is provided for follow-up process deviation detection; the deviation vector is utilized to detect the process abnormality, and the inverse mapping model is combined to realize the precise reduction and tracing of the process parameters, so that the production process is always maintained within the optimal path, and the vulcanization process flow is more intelligent and automatic.

The invention discloses a multi-dimensional constellation diagram mapping enhanced orthogonal chirp multiplexing optical transmission sending method, receiving method and system in the field of optical communication. The method comprises the following steps: a sending end converts data to be transmitted into an original signal bit stream; mapping through a preset four-dimensional constellation diagram model to generate a four-dimensional constellation point coordinate sequence, and dividing the four-dimensional constellation point coordinate sequence into two different branches; respectively carrying out OCDM modulation on the four-dimensional constellation point coordinate sequences on the two branches to generate two time domain sending signal sequences; performing power distribution and superposition on the time domain sending signal sequence to form a final sending signal; and a receiving end receives the sending signal from the channel, performs OCDM demodulation on the sending signal, recovers constellation point signals in the two branches by using a serial interference cancellation technology, and obtains an original signal bit stream through demapping of the four-dimensional constellation diagram model. According to the invention, the problems of selective fading of signal frequency and overlong CP in DD-OFDM can be solved.

The invention discloses a motion analysis system based on inertia-visual signal enhancement and fusion, and relates to the technical field of intelligent perception and fusion. In the system, an inertial sensor module is used for collecting an inertial signal of a moving object; the visual sensor module is used for collecting human body key point information; the signal processing module is used for performing enhancement processing on the inertial signals by using the improved deep learning model, and reconstructing outrange signals in the inertial signals based on the KAN; the inertia-visual information fusion module is used for carrying out fusion processing on the human body key point information and the inertia signal after signal processing based on a multi-modal feature alignment method of an optimal transport theory and an SINkhorn algorithm to obtain a motion track of the moving object; and the motion analysis module is used for analyzing the motion mode and posture change of the motion object based on the motion trail. According to the invention, the motion trail of the moving object can be accurately captured and accurately analyzed.

A vehicle dynamics modeling method, system and device and a computer readable storage medium belong to the field of intelligent vehicle dynamics control, and comprise: obtaining a training data set, the training data set comprising a plurality of groups of training data, each group of training data comprising an input feature and a corresponding output feature, the input features comprise vehicle state quantities at multiple sampling moments before the current sampling moment and vehicle control quantities at the current sampling moment, and the output features comprise the vehicle state quantities at the current sampling moment; and performing model training according to the training data set to obtain a vehicle dynamics model so as to predict the output features when the input features are received. The vehicle dynamics model obtained based on training of the training data set can accurately predict the state quantity generated at the current moment in combination with the state quantities at multiple previous moments when receiving the control quantity, and the model can more accurately simulate the high time sequence correlation of the vehicle dynamics system and accurately restore the vehicle dynamics system.

The invention relates to the technical field of data processing, and discloses a vehicle-mounted head-up display visual focus prediction method and device, equipment and a medium, and the method comprises the steps: collecting an activity video of eyeballs of a user; determining a historical movement track of the sight focus based on the activity video, and calculating the delay time of the vehicle-mounted head-up display system according to the historical movement track; predicting a screen projection position corresponding to the sight line focus of the next frame according to the delay time to obtain predicted coordinate information; and controlling the vehicle-mounted head-up display system to execute projection operation according to the predicted coordinate information. The problem that the screen projection position is not matched with the actual visual focus position of the driver due to delay in the AR-HUD system in the existing eyeball tracking technology is solved.

The invention discloses a numerical analysis method for predicting speed distribution of downwash airflow of an unmanned aerial vehicle in a rice canopy based on a fluid-solid coupling method. The numerical analysis method comprises the following steps: measuring physical parameters of rice plants based on physiological characteristics of rice; establishing a three-dimensional rice plant model based on three-dimensional geometric modeling software; dividing a three-dimensional rice plant canopy grid based on grid division software; establishing a fluid-solid coupling model of the lower washing flow field of the unmanned aerial vehicle and the rice canopy; setting an initial boundary condition and performing spatial discretization; full-coupling finite element numerical simulation of the fluid-solid coupling model is carried out; performing post-processing on the numerical simulation result based on flow field post-processing software to obtain an evolution process and spatial distribution of the downward washing flow field of the unmanned aerial vehicle and dynamic behaviors of rice plants; and analyzing the influence of the dynamic behavior of the rice plant on the downwash airflow of the unmanned aerial vehicle, and determining the distribution rule of the downwash airflow speed in the rice canopy. The problems of high time consumption, influence of external conditions, difficulty in copying, limitation and the like are effectively solved.

The invention relates to the technical field of video signal switching, and discloses a multi-channel video signal automatic switching method and device based on a director switching table. The method comprises the following steps: carrying out preprocessing and feature calculation on a plurality of video signal channels, generating a signal feature vector set and a signal quality index, and constructing a dynamic weight matrix; executing self-adaptive frame rate control and energy optimization to obtain an optimized hardware working state and a pre-heating cache state; generating scene change mapping; executing an intelligent switching decision and signal fusion to obtain a video signal and a switching log after transition processing; performing data compression and transmission optimization, and generating a compressed data stream and a transmission control parameter; according to the multi-channel video signal processing and switching method and the multi-channel video signal processing and switching device, full-process automation from video signal preprocessing to final output is realized, the multi-channel video signal processing and switching efficiency is greatly improved, and intervention of manual operation and possible errors are reduced.

The invention discloses intelligent three-dimensional projection display equipment, and relates to the technical field of three-dimensional projection equipment, the intelligent three-dimensional projection display equipment comprises a shell, a base and holographic projection glass, the base is fixedly connected in the shell, the number of the holographic projection glass is four, the four pieces of holographic projection glass are fixedly connected with one another and fixedly connected to the base, and the holographic projection glass is arranged in the shell. The holographic projection equipment comprises a shell, holographic projection glass is arranged on the shell, projection equipment is arranged on the upper portion of the holographic projection glass, a display screen is fixedly connected to the outer side of the shell, an access door is hinged to the outer side, close to the display screen, of the shell, and a shielding assembly capable of shielding the projection display equipment according to light rays is installed in the shell. The problems of light reflection, color fading, blurring and the like of a projection picture are avoided, the shading cloth can reduce the influence of ambient light on projection light rays, accurate restoration of colors is ensured, and the position and the unfolding size of the shading cloth can be flexibly adjusted, so that the shading applicability is improved.

The invention relates to the technical field of 3D action generation, and particularly provides a 3D human body action generation method and device, a storage medium, electronic equipment and a product, and the method can comprise the steps: obtaining a text feature vector corresponding to the text description of a human body action; layering and quantifying the text feature vector to obtain a basic action mark sequence and a residual action mark; acquiring a basic action sequence corresponding to the basic action mark sequence, and acquiring a residual action sequence corresponding to the residual action mark; and generating a 3D human body action sequence based on the basic action sequence and the residual action sequence. Some embodiments of the present application can improve the accuracy of 3D human motion generation.

The invention relates to the technical field of image detection, in particular to a method for acquiring a color image based on a black-and-white line-scan camera under a combined light field, which comprises the following steps: adjusting the white balance gain of the black-and-white line-scan camera under three primary colors to enable the black-and-white line-scan camera to reach white balance; the three groups of three-color light sources construct image acquisition light fields suitable for different scenes according to a preset opening rule, and when the multi-color light source is opened every time, the black-and-white line scanning camera exposes and acquires a row of image data; and synthesizing and restoring the images acquired by the black-and-white line scanning camera into one or more color images. According to the method, exposure of the camera and turn-on of the three groups of light sources are accurately and synchronously controlled, exposure and acquisition are performed for multiple times in a product movement process, and image data are recombined and subjected to color reproduction after acquisition is completed, so that a color image can be accurately restored; the system supports a plurality of light field modes, is suitable for a detected object with a high height angle difference and a high brightness-darkness contrast ratio, can meet the requirements of detecting product flaws, defects, colors and the like, and effectively improves the application range of an acquisition system.

The invention discloses a visual detection precision improving method and system based on a high-resolution image. The system comprises a plurality of modules such as image acquisition equipment, a lighting system, an image processing unit and a mechanical positioning system. The image acquisition equipment adopts a high-precision industrial camera to acquire high-resolution images, and the illumination system provides uniform and adjustable illumination. Through the steps of image preprocessing, gradient calculation, Canny algorithm application and the like, the edge and geometric features of a detected object are accurately extracted, and size measurement, precision evaluation and defect detection are achieved. The visual detection precision can be effectively improved, the method is widely suitable for detection of various products such as automobile parts and electronic products, dimensional deviation and defects can be found in time, the production efficiency and the product quality are improved, and the method has important practical value and wide application prospects.

The invention provides a power distribution network data topology restoration method and device, electronic equipment and a storage medium, and relates to the technical field of power systems. The method comprises the steps that a first participation device obtains multiple pieces of data flow information among services involved in a first service domain of the power distribution network within a preset time period; extracting address information of each service from the plurality of pieces of data stream information, and determining a plurality of nodes and an initial node attribute of each node based on the address information of each service; determining a plurality of communication links based on the plurality of pieces of data flow information, determining a plurality of edges among the plurality of nodes based on the plurality of communication links, and determining an initial edge attribute of each edge based on the plurality of pieces of data flow information under each communication link to obtain an initial data topological graph of the first service domain; and receiving global node attributes and global edge attributes sent by the central coordination equipment, and updating the initial data topological graph based on the global node attributes and the global edge attributes to obtain a global data topological graph of the first service domain.

The embodiment of the invention relates to a camera view correction method, electronic equipment and a storage medium, and the method comprises the steps: taking a calibration board picture through a camera, carrying out the preprocessing of the calibration board picture, obtaining a new calibration board picture, screening out the effective dots of an original quasi-rectangular dot matrix in the new calibration board picture, obtaining the dot information of the effective dots, and carrying out the recognition of the effective dots. A dot matrix coordinate system is established based on the identified dot information, the original quasi-rectangular dot matrix is rotated to be correct, the coordinate of each effective dot in the dot matrix coordinate system is found out according to the dot information, a maximum inscribed quasi-rectangular dot matrix is obtained based on the dot matrix coordinate system, and the maximum inscribed quasi-rectangular dot matrix is obtained according to the width and height of the maximum inscribed quasi-rectangular dot matrix and the width and height of the calibration plate picture. According to the embodiment of the invention, an ideal rectangular dot matrix is generated, a homography matrix is calculated based on the original quasi-rectangular dot matrix and the ideal rectangular dot matrix, and the actually measured picture is corrected according to the homography matrix so as to correct the camera view, so that the camera view can be corrected, and a picture with an accurate camera view can be obtained.

The invention provides signal detection equipment, system and method. The equipment comprises a clock module, an input module, a detection module and an output module, the input module comprises at least two analog-to-digital converters; the clock module is used for sequentially providing clock signals for the analog-to-digital converters of the input module according to corresponding phases; the input module is used for controlling each analog-to-digital converter to sample the current to-be-detected signal under the triggering of the corresponding clock signal, and performing analog-to-digital conversion to obtain a corresponding digital signal; combining the obtained digital signals according to a sampling time sequence to obtain a first digital signal; the detection module is used for carrying out detection processing on the first digital signal to obtain a second digital signal; and the output module is used for detecting the second digital signal in real time, and outputting the second digital signal if the second digital signal is detected to meet a preset jitter judgment condition. And detecting the signal in a complex noise environment to obtain a target signal.

The invention discloses a method for extracting and processing text data of a PDF (Portable Document Format) document, which comprises the following steps: word processing: dividing the data content of a word object in the PDF document into three attributes of characters, paper coordinates and printing size, and carrying out differentiated processing according to the three attributes so as to obtain standard data of the word in an article; extracting character objects from the PDF document, extracting characters with coordinates in a table range region, and storing the characters into a character object set in sequence; table processing is carried out, data content of a table in the PDF document is divided into table structure objects, paper coordinates and printing sizes, and the table structure objects are divided into cell characters, cell sizes and row and column positions; extracting table objects in each page, and storing the table objects in a table object set in sequence; the problems that in the prior art, tables and characters in bidding document PDF documents are not accurately extracted, and the tables cannot be accurately recognized during page crossing are solved, common announcements, papers and scheme type PDF documents can be processed, and accurate article structure data can be restored.

The invention discloses a camera module image calibration method, relates to the technical field of electronic data processing, and aims to solve the problems that the calibration of a camera module cannot adapt to a changeable illumination environment and the consistency of the camera module is difficult to guarantee, and the method comprises the following steps: S1, obtaining a color temperature graph from the first color temperature to the Nth color temperature of a current module, each color temperature image is divided into a * b areas in a gridding mode; s2, calculating an R / G mean value and a B / G mean value of each region according to the image data of each region of each color temperature image of the current module; s3, screening out bad modules according to R / G and B / G ratios of the current module and the corresponding area of the typical module; s4, calculating AWB data and LSC data of the camera module from the first color temperature to the Nth color temperature according to the image data of the N color temperature graphs, and storing the AWB data and the LSC data in a memory; and S5, according to the actual environment illumination condition, automatically calling the AWB data and the LSC data, calculating a correction coefficient, and using the correction coefficient to calibrate the image, the camera module image calibration method not only can calibrate the color balance under different color temperatures, but also can significantly improve the consistency between modules, especially in large-scale production, the production efficiency is greatly improved, and the production cost is reduced. And the method is particularly effective for controlling bad modules.

The invention discloses a screen soft proofing color correction method and a chromatic value measurement device, and relates to the technical field of printing, and the method comprises the steps: collecting a first display chromatic value of an original image on a screen soft proofing display; the original image is printed on selected art paper to form a first sample, and a first printing chromatic value on the first sample is collected; and the first display chromatic value and the first printing chromatic value are substituted into a chromatic aberration formula to calculate a first chromatic aberration, then multiple times of adjustment are performed through the obtained first chromatic aberration, objective evaluation and subjective evaluation are performed on the multiple times of adjustment, and an adjustment scheme in which the display effect of the display and the printing effect of the correspondingly printed sample sheet are closest is selected. The color effect of printing content on a printing carrier can be accurately restored on a screen, and time and cost are saved.

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 provides an attack path restoration method and equipment, which can be applied to the technical field of computers. The method comprises the following steps: monitoring the running state of an application program in each server by using an RASP agent installed on each server, and collecting key data of the application program in the running process; when an attack event is detected, alarm information is generated according to the key data, and a target server having an association relationship with the attack event in the servers is determined according to the alarm information; generating a server attack path according to the interaction relationship among the plurality of target servers; and generating an attack path corresponding to the attack event according to the server attack path and each component in the target server. According to the method, the attack path of the attack event can be quickly and accurately restored.

The invention belongs to the technical field of textile traceability, and particularly relates to a textile traceability method and system based on a block chain, and the method comprises the steps: analyzing the textile data integrity based on a block chain network, judging whether the textile data is complete or not, analyzing the textile traceability access confidence, and judging whether the textile traceability access behavior is credible or not. And analyzing the textile traceability query result, comparing to obtain textile traceability data, analyzing the textile traceability data state, and comparing to obtain a textile traceability data risk point. According to the method, the problems of inaccurate and missing data possibly existing in traditional textile data traceability related information and incomplete judgment of the textile data traceability access verification state are solved, the whole production resume of a product can be restored more accurately, risk points in a supply chain can be found and positioned favorably, and the quality of the product is improved. And a basis is provided for improvement.

The invention discloses a drawing table recognition system, which comprises a drawing coordinate acquisition module used for inputting a drawing into a table area detection model to obtain vertex coordinates of each cell in the drawing, and calculating center point coordinates of each cell according to the vertex coordinates of each cell; the text area detection module is used for inputting the drawing into the OCR model to obtain vertex coordinates and text content of each textbox in the drawing, and calculating center point coordinates of each textbox according to the vertex coordinates of each textbox; and the textbox and cell matching module is used for sequentially calculating the distance between the central point coordinate of each textbox and the central point coordinate of each cell, and matching the textbox with the minimum distance between the central point coordinate of the textbox and the central point coordinate of the cell with the cell. According to the method, the table region detection model and the OCR model are combined, and the matching relation between the textbox and the cells is accurately restored.

The invention discloses a motor insulation leakage current segmentation variable gain amplification circuit and a measurement method, and the method comprises the steps: converting a sine AC leakage current with a wide detection range into a sine AC voltage signal through a zero-flux leakage current sensor, and converting the sine AC voltage signal into a DC voltage signal through an AC signal amplifier and a full-wave rectification sine effective value circuit; a leakage current analog signal in a normal working range of a digital / analog converter (ADC) module of a digital signal processor (DSP) and a marking signal for marking an interval in which the magnitude of the leakage current is positioned are obtained through an online segmented variable gain amplification circuit consisting of an integrated operational amplifier, an integrated voltage comparator, a relay and the like; therefore, accurate restoration of the effective value of the original wide-range leakage current can be realized in a DSP (Digital Signal Processor) program through the marking signal of the interval where the leakage current is located and the sampling value of the leakage current.

The invention discloses an image deblurring method based on multi-scale feature weighting, and the method comprises the steps: collecting fuzzy ship sign picture data of a real scene to obtain a preliminary data set, and estimating a basic fuzzy kernel and a mixing coefficient from the preliminary data set through employing a fuzzy estimation network; obtaining a group of clear ship license pictures, converting the clear ship license pictures into fuzzy ship license pictures by using a basic fuzzy kernel and a mixing coefficient, and gathering each clear-fuzzy ship license image pair to obtain a clear fuzzy data set; constructing a deblurring model which is based on the multi-scale feature extraction network and is fused with a feature weighted fusion module; training a deblurring model by using the clear fuzzy data set, and optimizing the deblurring model through a loss function based on a frequency domain; and inputting a blurred image to be processed into the trained deblurring model to obtain a clear image. According to the method, detail features can be better restored, and the deblurring effect and the overall definition and accuracy of the generated image are improved.

The invention discloses a water-air fast scanner and a water bottom scanning method based on the water-air fast scanner, and relates to the field of water body ecological environment investigation. The problems that an existing underwater scanner cannot be suitable for a shallow water area with the water depth smaller than 5 m, GPS position information and a real scanning position are staggered, and the position precision of a bottom map is reduced are solved. The method comprises the following steps: determining a deployment mode of a water-air rapid scanner, and selecting a corresponding baseline length and array spacing; configuring a working mode of the camera array, and synchronizing the camera array and a GPS module clock; the water-air fast scanner records water bottom image information; extracting a video frame; calculating scanning track coordinate data of each camera; interpolation is carried out on the scanning track coordinate data, and a smooth GPS motion track is obtained; acquiring a route track of the camera according to the GPS motion track and the array spacing; and performing reconstruction processing on the route trajectory by adopting SfM to obtain a water bottom image. The method is suitable for the fields of ocean research, geological survey, underwater archaeological and the like.

The invention discloses a coloring method based on an AI image processing algorithm, and relates to the technical field of artificial intelligence, the method can speculate the original color Cp (Si) of a faded area through the combination of a color attenuation model and a historical color database Hd, the speculated color is subjected to historical correction, and a historical color correction result Ch (Si) consistent with a historical style is obtained. On the basis, the surface light reflection characteristic is combined, painting simulation is carried out on the mural, fine adjustment of illumination and materials is further carried out through an illumination model L and a material optimization function M, and a final painting result Tz (Si) is generated. Through multi-dimensional optimization, it can be guaranteed that the painting effect is kept consistent under different light rays and angles, the painting effect can be highly matched with the surface material of the mural, and finally it is guaranteed that the painting restoration result reaches the preset quality standard through multiple times of evaluation and adjustment.