286 results about "Attenuation function" patented technology

The invention discloses a traffic network toughness diagnosis method under flood disasters based on a space-time diagram neural network, and relates to the crossing field of traffic engineering and artificial intelligence. The method comprises the following steps: collecting traffic topology, flood monitoring and traffic flow data, and carrying out space-time alignment; a flood coupling dynamic space-time diagram is constructed, a water depth-traffic capacity response mechanism is introduced, and real-time mapping from a disaster physical state to a network topology is realized by utilizing an attenuation function meeting physical monotonicity constraint and dynamically updating an edge weight of a diagram structure according to real-time water depth; inputting the dynamic graph into a pre-trained space-time graph neural network model, extracting space-time evolution characteristics and outputting a toughness diagnosis result; model training adopts a toughness label generated based on an anti-fact baseline to carry out supervised learning, and introduces a physical constraint loss function. According to the method, the problems of decoupling of disaster features and graph structures and unavailability of toughness labels in the prior art are solved, and the physical consistency and accuracy of diagnosis are improved.

The invention relates to the technical field of electroencephalogram signal processing, and provides a brain-computer AI glasses electroencephalogram signal multi-dimensional quality dynamic detection method, which comprises the following steps: preprocessing collected electroencephalogram signals; performing task frequency band component analysis on the channel signals subjected to the matrix rank analysis, and calculating a power proportion of a target frequency band; performing maximum gradient analysis on the channel signal, and calculating the maximum gradient value of the channel signal; performing root-mean-square analysis on the channel signal, and calculating a root-mean-square value of the channel signal; performing fluctuation amplitude analysis on the channel signal, and calculating a peak-to-peak value of the channel signal; performing brain hemisphere symmetry analysis on the left and right homologous channel signals, calculating the correlation and mean square error of the channel signals, and setting a dynamic threshold according to the frequency band of the channel signals; obtaining an electrode impedance value, and mapping the electrode impedance value into an impedance score through a preset exponential attenuation function; the final quality score of the channel is obtained, and dynamic detection and real-time score updating of the electroencephalogram signal quality are achieved.

The invention discloses a bidirectional grid-connected control system for a small-power energy storage inverter, and relates to the technical field of inverter grid-connected control. Aiming at the needs of the small-power energy storage inverter in a restricted scattering environment, a communication and control scheme is proposed, a channel attenuation matrix and an interference feature list are generated by measuring point layout and a multi-factor attenuation function, and a channel environment model is formed by nonlinear fitting; a multi-node multi-band communication topology is constructed and feasible routes are screened, the optimal or alternative combination is dynamically solved and the network topology configuration is output; multi-dimensional scoring and multi-path capacity allocation are performed on data streams with different sensitivities, and high-priority data is preferentially scheduled to a better route; when the network abnormality cannot be restored, the local buffering and offline control algorithm can calculate the inverter operating parameters based on the cached data and perform load reduction protection, and smoothly switch back to the online mode after the network is restored, so as to ensure that the energy storage inverter is still safe and controllable in the disconnected state.

The invention discloses a physical-data dual-drive retaining wall catastrophe robustness evaluation method, and relates to the technical field of structure catastrophe evaluation and computer science crossing. Aiming at the problems that an existing retaining wall catastrophe robustness evaluation method cannot correct physical model errors in real time and is insufficient in accuracy, the invention provides a retaining wall catastrophe process robustness evaluation method driven by fusion of a physical model and a neural network. The method comprises the following steps: 1, carrying out time discretization and parameter vectorization on retaining wall catastrophe monitoring parameters; 2, constructing a performance attenuation function based on the physical model; 3, updating an implicit damage state in combination with a neural network Cell module; 4, correcting an error through a feedforward network to obtain a total performance attenuation function; and 5, finally calculating a robustness index and outputting a corresponding robustness grade, thereby realizing quantitative evaluation of the retaining wall catastrophe robustness. Reliable quantitative support can be provided for retaining wall design optimization, operation monitoring and post-disaster recovery evaluation.

A method for battery life prediction and a corresponding system, medium and apparatus. The method comprises the following steps: acquiring battery capacity data of a battery after at least one charge-discharge cycle under ambient temperature stress and discharge rate stress; processing the battery capacity data under the environment temperature stress and the discharge rate stress at least by using an attenuation function to obtain cumulative attenuation of the single cycle capacity of the tth cycle under each stress and a battery capacity attenuation model; coupling the ambient temperature stress and the discharge rate stress to form a composite stress so as to obtain the cumulative attenuation of the average capacity of a single cycle of the tth cycle under the composite stress; determining the corresponding relation between the cumulative attenuation of the average capacity of the single cycle of the tth cycle under the combined stress and the corresponding loss capacity when the service life of the battery is ended; and establishing a model for predicting the service life of the battery under the combined stress according to the corresponding relationship. According to the invention, reliable prediction of the service life of the battery can be realized based on a composite stress coupling modeling mode.

The invention discloses a spatial positioning system and method for a partial discharge source of a transformer, and the system can accurately calculate the three-dimensional coordinates of the partial discharge source through the spatial layout and phase difference measurement of multiple sensors in combination with a geometric calculation method. Aiming at complex electromagnetic interference in the operation environment of the transformer, a dynamic phase difference compensation algorithm is adopted, and the electromagnetic interference is adaptively suppressed by analyzing the phase difference of signals received by each sensor, so that accurate extraction of partial discharge signals is ensured; the compensation algorithm can be automatically adjusted according to the change of the interference intensity, and the robustness of the system is effectively improved; according to the invention, through the adaptive weighting function, the partial discharge signal and the environmental noise signal can be effectively distinguished, and accurate processing of the signal is ensured; particularly, through dynamic adjustment of the exponential attenuation function and the noise power spectrum density, the influence of interference signals can be further weakened, and the signal processing precision is improved.

The invention relates to the field of robot navigation, and particularly discloses a spatial perception observation information quality evaluation method and system, a terminal and a medium, and the method comprises the steps: converting the measurement information of each dimension into a normalization probability according to the measurement target of each dimension; according to the concept of entropy in the information theory, the normalized probability of each dimension is converted into a computable entropy value; a downstream task weight coefficient is introduced for the entropy value of each dimension, the multi-dimensional entropy value after the downstream task weight coefficient is introduced is mapped into a physical interpretable confidence coefficient in a [0, 1] interval through an exponential attenuation function, and the confidence coefficient explicitly represents the uncertainty of observation information of each dimension. According to the method, a space perception quality evaluation system with mathematics interpretability, scene adaptation and real-time calculation is formed, multi-source uncertainty is mapped into executable confidence, and multi-dimensional accurate evaluation of intelligent agent space perception observation information is achieved.

The invention relates to the technical field of medical diagnosis, in particular to an eye white image acquisition and disease auxiliary diagnosis method and device, and the method comprises the steps: obtaining a video frame collected by a camera in real time, obtaining eye socket detection frame information in the video frame through a target detection algorithm, and adjusting the three-axis displacement of a motor to be positioned to an eye socket based on the eye socket detection frame information. The method comprises the following steps: completing image acquisition of eye white area maps in five directions, automatically marking abnormal parts, establishing a dynamic coordinate system and a mapping area which take a pupil center as a pole, calculating polar radius and polar angle of polar coordinate parameters, calculating a spatial weight value of mapping abnormity through a distance attenuation function, calculating a comprehensive gain value of the mapping area, and normalizing the comprehensive gain value. Generating an eye white abnormity thermodynamic diagram and performing hierarchical display; according to the invention, eye sockets are automatically positioned, eye white area maps in five directions are adaptively acquired, hierarchical display of eye white abnormity thermodynamic diagrams is realized, batch acquisition of eye white images of patients is satisfied, diagnosis efficiency is improved, and doctors are assisted to complete disease diagnosis.

The invention discloses a well mining unmanned driving fault data processing method and system, and relates to unmanned driving. The method comprises the following steps: obtaining multi-source heterogeneous data; performing space-time fusion processing on the multi-source heterogeneous data to obtain a fused data set; inputting the fused data set into a pre-trained LSTM-Attention prediction model, and outputting a fault probability prediction value of the unmanned vehicle; calculating a fault risk score according to the fault probability prediction value in combination with the fault influence level; according to the fault risk score, triggering a preset fault processing mechanism of a corresponding level; aiming at the problem that the influence of water mist spraying on equipment operation is not considered in traditional well industrial and mining unmanned driving fault prediction, the method introduces UWB positioning-based vehicle and spraying point distance calculation, adopts a Gaussian distance attenuation function to quantify a spraying influence weight, constructs a temperature compensation factor alpha fused with a spatial distance and a time accumulation effect, and performs fault prediction on equipment operation according to the temperature compensation factor alpha. And the compensation factor is used for dynamically correcting the temperature of the motor and the like, so that the interference of underground dust falling spraying on the temperature monitoring of the equipment is effectively eliminated.

The invention relates to the technical field of computer vision and robot positioning, and discloses a dynamic 3DGS-SLAM method and system based on Gaussian pyramid and adaptive densification. The method comprises the following steps: generating a semantic mask through real-time dynamic target detection so as to distinguish a static background from a dynamic object; constructing a 3D Gaussian map model of the scene; rendering images in parallel on a full-resolution view and a down-sampling resolution view by adopting a motion perception Gaussian pyramid rendering method, and fusing rendering results by utilizing a dynamic mask so as to eliminate motion edge artifacts; a self-adaptive densification strategy based on a monotonic attenuation function is adopted, the initialization radius of the Gaussian ellipsoid is dynamically adjusted based on the training progress, and high-density initialization and progressive redundancy pruning are executed to optimize the geometric fidelity; and finally, performing coarse-to-fine camera pose optimization, and outputting a precise pose and a high-fidelity static map. According to the method, the problems of tracking drift and rendering artifacts under dynamic interference are effectively solved, and the positioning precision and the rendering quality are improved.

The invention discloses an aging model and aging state prediction method and system of a retired power battery. An aging characteristic parameter sequence of a battery cluster is obtained; the aging characteristic parameter sequence is divided into multiple sections; in each section of the aging characteristic parameter sequence, different types of attenuation functions are adopted for fitting, and the membership probability of each type of attenuation function to each section and the weighted sum of each type of attenuation function serve as a fusion fitting function of each section; splicing the fusion fitting functions of all the sections to obtain an aging model of the retired power battery; clustering the fusion fitting function of each segment to obtain a typical fusion function of each cluster in each segment; establishing an aging state prediction model, wherein the aging state prediction model comprises an input layer based on a Transform network, a physical constraint layer based on an attention mechanism, a composite loss calculation layer and a feedback layer; an aging characteristic parameter fusion sequence output by the aging state prediction model is an aging state prediction result of the target battery cluster; and precise modeling and dynamic prediction of the aging state of the battery are realized based on finite parameters.

The invention discloses an urban population flow prediction method based on multi-source data, and the method comprises the steps: collecting and preprocessing mobile equipment position data, public transport card swiping data and POI point location data, and extracting time and space features; calculating a regional attraction coefficient, an inter-regional distance attenuation function, a regional connectivity matrix, a time dynamic parameter and an external influence parameter, constructing a comprehensive population flow prediction mathematical model, and optimizing model parameters through a machine learning method to realize accurate prediction of population flow among urban regions in a future time period; the urban population flow prediction method comprehensively utilizes multi-source heterogeneous data, fully considers the influence of a space factor, a time factor and an external environment factor on population flow, introduces an innovative index of a regional connectivity matrix, realizes adaptive updating of parameters, can effectively improve the accuracy of urban population flow prediction, and improves the urban population flow prediction efficiency. And a scientific basis is provided for smart city construction and urban traffic planning.

The invention discloses a gradient heating control system and method for a disposable medical endoscope. The control method comprises the following steps that temperature values Ti are collected in real time through three temperature sensor sets distributed on the front section, the middle section and the rear section of an endoscope body; the temperature gradient delta Tj of each section is calculated, and the calculation result is compared with a set threshold value theta; when any temperature gradient delta Tj exceeds a threshold value theta, a gradient compensation algorithm is started, and heating power output Pout is calculated; and according to a compensation calculation result, the power output of each heating sheet is dynamically adjusted, so that the temperature gradient delta Ti is within a set value. The temperature sensor group is arranged on the endoscope body, the power output of the heating sheet is dynamically adjusted by adopting a self-adaptive gradient compensation algorithm, and the gradient compensation coefficient alpha is adjusted by introducing an exponential attenuation function, so that accurate temperature control, adaptation to different operation modes, reduction of temperature fluctuation and improvement of equipment reliability are realized.

The invention relates to the technical field of large gantry cranes, in particular to a method for monitoring camber change of a gantry crane girder on line. Calculating elastic modulus dynamic attenuation; calculating dynamic load-stress distribution; performing non-linear coupling analysis on camber change; and data driving and mechanism driving are combined for correction and early warning. According to the method, a dynamic load-camber coupling analysis model is introduced, and based on an elastic modulus attenuation function and load distribution dynamic coupling algorithm, coupling effects of various factors such as load, temperature and vibration can be comprehensively considered, camber changes of the gantry crane girder can be accurately calculated, and the accuracy of the camber changes of the gantry crane girder can be improved. By combining the double advantages of a data driving method and a mechanism driving method, dynamic correction and real-time updating are realized, the defects of low monitoring precision, poor real-time performance and lack of flexibility in the prior art are overcome, and the monitoring reliability and accuracy are greatly improved.

The invention relates to the technical field of automatic driving, in particular to a safety reinforcement learning training method and device for end-to-end automatic driving, and the method comprises the steps: detecting the safety state of a current decision control strategy of a vehicle based on a preset driving environment model and an uncertainty constraint attenuation function; using the preset integrated model to fit the scattered random error of the preset driving environment model; updating the value function according to the self-consistent condition of the value function, and evaluating the performance value of the current decision control strategy; according to the self-consistent condition of the uncertainty constraint attenuation function, updating the uncertainty constraint attenuation function, and expanding a corresponding feasible region; and when the safety state reaches a preset level, performing iterative updating on the current decision control strategy based on the random error, the performance value and the expanded feasible region until the average accumulated return of the current decision control strategy reaches a preset threshold value or reaches the maximum number of iterations, and obtaining a final feasible decision control strategy so as to strengthen the target automatic driving system.

The invention relates to the technical field of bolt connection, in particular to a method for predicting the working condition of a bolt connection structure based on representation of pretightening force relaxation. The invention provides a double-exponential attenuation function, parameter identification of different functions is carried out, the double-exponential function which is simple in structure and good in characterization is obtained, the fitting precision of the double-exponential attenuation function reaches 99.3%, and the bolt pretightening force relaxation rule can be accurately characterized. According to the method, a pre-tightening force relaxation rule function is introduced into an Iwan model to represent the Iwan model under the relaxation condition meeting the actual condition, the relation between various parameters and pre-tightening is analyzed, a mathematical expression is constructed by adopting a least square method, the pre-tightening relaxation rule in a period is equivalent to the pre-tightening relaxation rule of tangential displacement and loading time, and the pre-tightening force relaxation rule is obtained. And constructing an Iwan model density function under a relaxation condition based on various variable parameters. According to the method, nonlinear behaviors such as energy dissipation and rigidity degradation can be predicted, and particularly, a relatively accurate method is provided for predicting various indexes under the working condition of bolt pretightening force relaxation.

The invention relates to the technical field of 3D scanning, and discloses a real-time alignment highlight curved surface metallographic 3D scanning method and system, and the method comprises the steps: extracting normal vector features from a multi-view point cloud, calculating an approximate geodesic distance, and constructing a normal vector geodesic distance correlation graph; constructing a constraint propagation intensity matrix through a geodesic distance inverse ratio and a normal vector included angle exponential attenuation function, and enabling the constraint propagation intensity matrix to act on a multi-view point cloud registration residual error to generate a closed-loop error energy field; constructing a graph cut network node at the gradient extreme value of the energy field, and executing a minimum cut algorithm under geodesic constraint by taking the integral value of the energy field as the side capacity to complete global point cloud fine registration; according to the method, the local geometry and the global topology are combined through the normal vector geodesic association diagram, the problem that the registration accumulative error breaks out at the closed loop position due to the fact that the highlight curved surface metallographic surface lacks texture features is solved, and real-time accurate alignment of the highlight curved surface metallographic workpiece multi-view point cloud on an automatic detection production line is achieved.

Disclosed in the present application are an audio enhancement method and apparatus, and a computer storage medium. The method comprises: generating a group of audio collection signals by means of a microphone array; performing delay-and-sum processing on the group of audio collection signals, so as to generate a delay-and-sum signal; performing blocking matrix processing on the group of audio collection signals, so as to generate a blocking matrix signal; using an adaptive filtering matrix to filter the blocking matrix signal, and removing the filtered blocking matrix signal from the delay-and-sum signal, so as to obtain an enhanced audio output signal. The adaptive filtering matrix is based on at least one attenuation function, and each of the at least one attenuation function is updated at an interval of a corresponding predetermined update interval T.

The invention discloses an image fusion enhancement method for a multi-signal-source liquid crystal splicing screen, and relates to the technical field of large-screen display control, and the method comprises the steps: building a virtual coordinate system taking a physical gap as a reference at an input end, carrying out the decoding, time synchronization and unified mapping of a multi-source heterogeneous signal, converting the multi-source heterogeneous signal into a unified color space, and carrying out the image fusion enhancement of the multi-signal-source liquid crystal splicing screen. The display consistency of different signal sources is ensured; then, a compensation model based on a brightness attenuation function is introduced into the splicing boundary area, edge pixel brightness is subjected to self-adaptive correction, and brightness unevenness caused by physical gaps is relieved; calculating the content complexity based on the row-level gradient magnitude in the fusion screen area, dynamically constructing a content-sensitive fusion weight, and carrying out weighted fusion on the images on the two sides to generate a transition image frame; and through joint output of the transition image frame and the original side image frame, visual seamless connection of the splicing gap area is realized. Therefore, the integral continuity and visual experience of tiled display are effectively improved while the image detail fidelity is ensured.

The invention discloses a method for determining vertical seismic response of a friction type tubular pile in a stratified foundation by considering a soil plug effect. The method comprises the following steps: S1, setting initial parameters for an iteration factor gamma; s2, calculating an attenuation function phi according to the iteration factor; s3, calculating an intermediate function kk and an intermediate function ck according to the attenuation function phi; s4, calculating the free field displacement of the soil body, and obtaining the displacement values of the pipe pile and the pile bottom virtual soil pile according to the free field displacement of the soil body, the intermediate function kk and the intermediate function ck; s5, calculating a new iteration factor; and S6, repeating the steps S2-S5 until the difference between the newest iteration factor and the iteration factor of the last round is smaller than a fixed value, and obtaining the final vertical seismic response by taking the free field displacement and the displacement value of the tubular pile and the pile bottom virtual soil pile obtained according to the newest iteration factor. The problem that the seismic response of the friction type pipe pile in layered soil is difficult to obtain is solved.

The invention provides a silicon-based millimeter wave digital attenuator and a millimeter wave active phased-array antenna, and relates to the technical field of phased-array antennas. The attenuation function of the silicon-based millimeter wave digital attenuator is realized by switching two groups of identical A / B differential circuits of each core attenuation unit, that is, in the whole attenuation range, only one group of circuits of each working core attenuation unit are switched on, and the attenuator circuit formed by combining all the units can be switched on in the aspect of radio frequency small signals. The attenuator circuit is not changed in the aspects of a direct-current working circuit or a direct-current working circuit, that is, the change of radio frequency input and output impedance in the whole attenuation range is very small, the matching of the attenuator circuit and a front-stage circuit and a rear-stage circuit is easily maintained, meanwhile, the working current is basically kept unchanged, and the phase fluctuation is very small when the attenuator works.

The invention relates to a laser radar point-to-line weighted matching method based on edge point quality evaluation, and belongs to the technical field of measurement. The method solves the problems that in traditional point-to-line matching, due to the fact that the quality of edge points is not evaluated, the pose estimation precision is low, and the robustness of an unstructured scene is poor. According to the technical scheme, a preprocessing module screens candidate edge points through projection point cloud, target segmentation and roughness calculation; the position judgment module classifies the candidate points as middle, left or right edge points according to the category consistency of the adjacent points; the direction consistency judgment module calculates a direction standard deviation and screens effective edge points; and the dynamic weighting module allocates weights according to an exponential attenuation function, and optimizes the pose through weighting residual errors. The method has the advantages that the pose estimation precision is remarkably improved, the weak structure environment adaptability is enhanced, the calculation efficiency is optimized, and redundant iteration is avoided.

The invention relates to the technical field of digital information transmission, in particular to a 5G Ethernet switch testing method and system, and the method comprises the steps: obtaining the operation state data of a target 5G Ethernet switch under a plurality of network testing conditions; determining data processing time and data transmission time corresponding to the same bandwidth in the plurality of network test conditions according to the running state data, and determining a data transmission delay rate of each network test condition according to the data processing time and the data transmission time; according to the operation state data, determining the change prominence of a plurality of network environment parameters under each network test condition, analyzing the promotion effect of the change of the network environment parameters on data transmission delay, and obtaining the promotion probability of each network environment parameter; and constructing a performance attenuation function of the target 5G Ethernet switch according to the data transmission delay rate of each network test condition and the promotion probability of each network environment parameter. According to the invention, the overall performance of the switch under different conditions can be comprehensively and accurately reflected.

The invention belongs to but is not limited to the technical field of collaborative filtering algorithms, and particularly relates to a collaborative filtering recommendation method based on time decay optimization and a personalized content recommendation method, system, equipment and terminal thereof. The last interaction time of each user and all items is screened out, and meanwhile the similarity between the users is calculated based on a person algorithm; step 2, calculating an initial weight of a user-item based on a Personal Rank algorithm; 3, setting hot items and unpopular items according to the interaction time of the user items, and setting a time decay function; and 4, combining the time decay value serving as a penalty factor with the initial probability value, punishing hot items, rewarding unpopular items, combining an obtained final score weight value with an original user item score, replacing an original user item score value, and recommending items to a given user.

A computer having a system for mitigating mechanical rattle arising due to a mechanical coupling of an audio output transducer to a part of the computer device, the system comprising: a processing subsystem configured to receive an input audio signal and to output a drive signal for driving the audio output transducer to produce a transducer output, wherein the processing subsystem is configured to selectively apply an attenuation function to the input audio signal to attenuate a signal component of the input audio signal at a frequency that causes mechanical rattle in the computer; and an analyser subsystem configured to receive the input audio signal and to output a control signal to the processing subsystem to control application of the attenuation function to the input audio signal by the processing subsystem based on a spectral content of the received input audio signal; wherein the attenuation function is based on characteristic acoustic behaviour of the computer.

The invention provides a construction and implementation method of a rock mass single-bond two-parameter dynamic damage constitutive model, relates to the technical field of tunnel and underground engineering rock mass mechanical calculation, and solves the attenuation effect of a non-local PD force by introducing a hexagonal polynomial attenuation function to reflect the influence of an internal length on a non-local long-range force; a new constitutive force function and a new failure criterion are constructed by introducing a damage function of a key; the influence of the key deformation rate on the critical elongation is considered to reflect the rate effect of the rock material; the defect of a fixed Poisson's ratio is overcome by introducing tangential rigidity into the bond, and meanwhile, the heterogeneity of the rock is described by utilizing normal rigidity and tangential rigidity obeying Weibull distribution, so that the defect that the heterogeneity of the rock material cannot be reflected by traditional bond-based near-field dynamics is overcome.

The invention discloses an improved method for calculating grazing incidence sea surface back scattering through a small slope approximation method, and belongs to the technical field of sea surface electromagnetic scattering calculation, and the method comprises the following steps: S1, determining the wind speed of each stage of sea condition, and calculating the seawater dielectric constant; s2, generating sea surface geometry by using a linear filtering method based on a sea wave spectrum according to the determined wind speed; s3, introducing a conical incident wave; s4, introducing an edge geometric attenuation function; and S5, calculating sea surface back scattering by using an approximate integral formula of a small slope approximation method. According to the improved method for calculating grazing incidence sea surface back scattering through the small-slope approximation method, the edge geometric height is attenuated to 0 by applying the edge geometric attenuation function, so that the situation that the height fluctuation of the sea surface edge is close to an incident wave energy central axis is avoided, the problem that the calculation result is large under grazing incidence is solved, and the calculation efficiency is improved. And meanwhile, the calculation result is more accurate.

The invention provides a method for adjusting a satellite link in a dynamic scene and electronic equipment. According to parameter data, monitored in real time in a dynamic scene, of a communication terminal and a satellite link, atmospheric environment data and position attitude information of a communication terminal carrier, various attenuation information of a space channel, an antenna-to-satellite scanning angle and an antenna gain value are determined, and various attenuation functions in a preset time period are further determined. And then a link quality change trend function is obtained after weighted summation according to the attenuation functions, so that a link quality change trend value, determined according to the link quality change trend function, at the current moment is compared with a first threshold value, and if the value is greater than the first threshold value, it is proved that the satellite link quality has the risk that communication cannot be carried out; the most appropriate target adjustment mode needs to be determined according to the condition of the current satellite link, and adjustment is performed according to the target adjustment mode before the quality of the satellite link is reduced, so that the continuous stability and reliability of the satellite link are ensured.

The invention discloses a thermal infrared three-dimensional modeling method and system based on linear Gaussian primitives, and the method comprises the steps: obtaining an infrared image of power transformation equipment, so as to construct a multi-view image set of the power transformation equipment; generating a sparse point cloud from the multi-view image set to construct an initial Gaussian primitive, and converting the initial Gaussian primitive into a linear Gaussian primitive through a linear attenuation function; constructing a thermal infrared physical model, and inputting the image set and the primitives into the physical model to obtain a thermal infrared synthetic image; constructing a composite loss function to calculate an error value of the infrared image and the composite image, calculating a gradient of the composite image, and carrying out back propagation iteration on the error value and the gradient to update parameters of the physical model; according to the method, the thermal infrared physical model is constructed, the atmospheric transmission effect and the thermal diffusion process are modeled, and the thermal loss is compensated by combining a residual addition mechanism, so that the problem of thermal radiation confusion caused by depth information attenuation is solved, and high-precision three-dimensional rendering under the dynamic illumination condition is realized.

The invention discloses a data quality dynamic evaluation analysis method and system based on fusion factors. The method comprises the following steps: constructing a multi-dimensional data quality factor set; constructing a dynamic evaluation window based on an aging attenuation function, and automatically adjusting an evaluation cycle of each quality factor according to a data life cycle stage; based on each data quality factor evaluation period, processing a multi-factor conflict problem in the evaluation period through an improved D-S evidence theory; constructing a hierarchical scoring model based on non-conflict factors, and obtaining a comprehensive quality score by adopting an improved entropy weight-TOPSIS fusion algorithm; and constructing an adaptive threshold triggering mechanism, and dynamically adjusting the weight in the data quality scoring model based on the historical scoring standard deviation. The method has the advantages that the data quality evaluation period is dynamically adjusted based on the aging attenuation function, the improved D-S evidence theory is utilized to fuse the multi-factor conflict evidence, and high-timeliness and high-precision dynamic evaluation of the data quality is achieved.