109 results about "Point source" patented technology

A robotic welding system having detection means for in one embodiment detecting a path of a ferro-magnetic, light-reflective or radioactive material traced over a weld seam, and a controller for providing machine commands to cause a torch tip electrode to move the weld seam. Alternatively the detection means comprises means for detecting and tracking a) a position in 3D space of a pointer tip which is in known positional relationship to determined GPS coordinates of a reference point on the welder when traced along a desired weld seam; b) the path of a point source of light when traced along a location of a desired weld seam; c) the path of light-reflective material traced or positioned over the desired weld seam; or d) a path of a tip of a digitized pointer object when traced along a desired weld seam. Methods of operating such robotic welder also disclosed.

The invention belongs to the technical field of meteorological prediction, and particularly relates to a pollutant diffusion modeling method and model based on meteorological data. The specific process of the modeling method is as follows: step 1, meteorological data acquisition and preprocessing; step 2, based on the Gaussian diffusion model of the continuous point source, obtaining a three-dimensional Gaussian diffusion model changing along with time; and step 3, calculating meteorological factors based on the meteorological element information, and obtaining a pollutant Gaussian diffusion model considering meteorological data based on the meteorological factors. According to the method, both time change and meteorological elements can be considered, so that the established model can better reflect the real pollutant diffusion condition.

The invention discloses a stochastic finite fault source model establishment method, which comprises the following steps of S1, determining a geometrical shape of a seismic fault based on regional geological data and seismic monitoring data, and estimating a non-planar fault parameter and a fault plane average sliding amount in combination with historical data and an empirical formula; s2, estimating distribution and sliding strength of concave-convex bodies and obstacles on the fault surface according to historical seismic inversion data, and obtaining the sliding amount of each sub-fault by randomly disturbing the average sliding amount; s3, the discrete fault plane serves as a sub-fault unit, and after an initial fracture point and the average fracture speed are determined, random fracture initial time conforming to normal or power law distribution is generated based on a random number method; s4, calculating the seismic oscillation time history of each sub-fault by adopting a random point source method, superposing contributions, introducing the influence of a shallow velocity structure V30, and generating a three-dimensional seismic oscillation field; and S5, comparing actual strong earthquake record adjustment parameters, and outputting a multi-risk-level earthquake motion parameter evaluation result after iterative optimization. According to the method, by fusing randomness and empirical data, the simulation precision of the seismic source model on the uncertainty of the seismic process is improved, the influence of the potential maximum-magnitude earthquake possibly occurring in the active fault zone in the future can be effectively estimated, the seismic oscillation simulation precision and the calculation efficiency can be improved, and the method is suitable for engineering structure aseismic design and seismic disaster evaluation.

The invention discloses a method for calculating the infrared radiation intensity of an aerial point source target, and the method comprises the steps: calibrating an infrared detector, determining the response gain coefficient and the pixel offset of each pixel of an infrared image through the calibration, and constructing a response gain coefficient matrix and a pixel offset matrix; determining the radiation brightness of each pixel point of the aerial measured point source target projection area image according to the response gain coefficient and the pixel offset; the step of determining the projection area of the detected point source target in the air is an effective projection area of the detected point source target in the air, the point source target infrared radiation intensity calculation method is improved, the precision of the calculation method is improved, and the calculation efficiency is improved. The method has the characteristics of high operability and wide applicability, and can be used as a universal method for calculating the infrared radiation intensity of the aerial point source target.

The invention relates to a measurement precision correction method for a digital geological compass. The method comprises the following steps: determining the magnetic field stability of a target position according to the difference between total magnetic field intensities in a first interval; determining a magnetic field interference coefficient at the moment according to a difference value between the total magnetic field intensity at each moment and the total magnetic field intensity at the target moment; determining the integrating degree of the point source model at the previous moment according to the difference between the magnetic field interference coefficients at each adjacent moment and the duration of the interval between each adjacent moment and the initial moment; determining a target duration according to the magnetic field interference coefficient in the second interval and the duration of the interval between each moment and the initial moment, and correcting the magnetic field data of each axis of the compass according to the target duration and the difference between the magnetic field data of each axis at the target moment and the magnetic field data of the axis in the first interval; and carrying out azimuth calibration on the compass according to the corrected magnetic field data of each axis and the longitude and latitude of the target position. The method can improve the accuracy of geological survey.

The invention belongs to the field of target detection, and particularly relates to a construction method of an astronomical image point source target detection model with depth feature matching. The method comprises the following steps: obtaining a training set of astronomical images containing a point source target; the training set of the astronomical image containing the point source target is input into a PSDetNet network, and the PSDetNet network is composed of a feature extraction module and a matching positioning module; utilizing a feature extraction module to obtain a feature map with point source template features; searching and positioning point source features in the feature map by using a matching and positioning module to obtain a target detection model; the model is trained using an improved cross entropy loss function. According to the invention, high integrity and purity can still be maintained at a low signal-to-noise ratio; an astronomical image with a point source target can be converted into a feature map with a point source similar to a point source template; the network efficiency can be effectively improved, and the point source in the astronomical image can be accurately detected with high purity and high integrity.

The invention discloses a mud throwing diffusion and deposition influence rapid calculation method based on an analytical model, and the method comprises the steps: collecting the data of a mud throwing project region, and carrying out the preprocessing, and obtaining the water depth data; constructing a mud throwing diffusion and deposition influence rapid calculation model based on a two-dimensional point source diffusion and sediment sedimentation equation, specifically comprising model establishment, grid division, terrain interpolation, source item processing, parameter selection and particle size classification; and through the constructed mud throwing diffusion and deposition influence rapid calculation model, the diffusion process of the sand content in the engineering area along with time and the mud throwing deposition process of the bottom bed in the engineering area are rapidly calculated under the conditions of given mud throwing volume and mud throwing duration, and the sand content change process and the bottom bed deposition form of the concerned point location are obtained. According to the method, the mud throwing influence can be rapidly calculated and evaluated, the mud throwing operation efficiency and accuracy are improved, and the method is suitable for being widely applied to actual operation.

The invention discloses a point source high-risk gas leakage rapid and accurate traceability positioning method and system, and relates to the technical field of gas leakage source localization, and the method comprises the steps: determining a mesoscale turbulence diffusion model according to on-site geographical environment information and high-risk gas characteristics, the position of the virtual monitoring point is optimized by verifying the validity of the virtual monitoring point in an actual scene; and then batch numerical simulation is carried out to obtain an associated data set, a neural network model is trained according to the associated data set, a leakage source positioning model is obtained, the predicted actual leakage source position is output according to the gas concentration collected by each actual monitoring point, and accurate traceability of the leakage source is realized. According to the scheme, the diffusion phenomenon is accurately simulated through the optimized diffusion model, so that the obtained data is more practical, and the traceability precision is indirectly improved; and based on a machine learning method of an artificial neural network, the correlation between the concentration distribution and the leakage source position is established, and accurate and rapid traceability positioning of the leakage source is realized.

The invention provides an optimization method for geometric parameters of an ultrasonic transducer for online thickness measurement of a cable insulation layer, and belongs to the field of ultrasonic transducer optimization design. According to the method, a cable is dispersed into a plurality of spatial positions according to cable vibration characteristics, and the optimization problem of the ultrasonic transducer is formed; decision optimization indexes of the average amplitude, the minimum amplitude, the amplitude variance and the cost of secondary reflection signals at multiple spatial positions are established, then the amplitudes are converted into surface receiving sound pressure, quantitative calculation of the sound pressure is achieved through a distributed point source method, a decision matrix is established, and the surface receiving sound pressure is calculated. And then selecting a relatively optimal transducer geometric parameter scheme by adopting a multi-weight comprehensive approximation ideal solution sorting method. According to the method, the problem of low signal amplitude in the traditional thickness measurement process can be effectively solved, and the construction of a better online measurement system can be supported, so that the development cost and time are reduced, and a new thought is provided for the optimization design of an ultrasonic measurement system in a complex environment.

The invention discloses a drainage basin management measure space configuration optimization method, and relates to the technical field of ecological environment. The method comprises the following steps: construction and applicability analysis of a watershed non-point source model, description and screening of BMPs, and sensitivity analysis of NSGA-II parameters. An innovative optimization framework is provided and used for identifying and developing the optimal BMPs combination on the watershed scale, the framework considers the weights of the TN and the TP, the main target is to improve the comprehensive reduction rate to the maximum extent by coupling the TN and the TP, and the total cost related to implementation of 14 BMPs is reduced to the maximum extent. Three optimal BMP solutions based on Pareto optimum are obtained through simulation by using the framework; wherein the fusion of the NSGA-II and the BMPs database is derived from the output of the SWAT model after calibration and verification driven by local data, so that the optimization process is greatly accelerated, the calculation complexity is reduced, and the optimal BMPs combination is steadily sought, so that the nitrogen and phosphorus reduction rate is improved to the maximum extent, and the total cost is reduced.

The invention relates to a gas pipeline safety protection problem, in particular to a gas pipeline leakage heat radiation prediction method based on terrain and temperature correction. The method comprises the following steps: acquiring pipeline design parameters and surrounding environment data, calculating a gas leakage flow rate Q according to the pipeline design parameters and the surrounding environment data, and calculating a heat release rate Q'according to the gas leakage flow rate Q; constructing a landform correction factor calculation model according to absorption, heat conduction and reflection characteristics of a surface material around the pipeline; importing the landform correction factor calculation model into the basic multi-point source model for iteration until convergence, and obtaining the total radiation intensity obtained by convergence; and correcting the total radiation intensity obtained by convergence based on the difference value between the actual temperature and the standard environment temperature to obtain the final total radiation intensity. The method can accurately predict the thermal radiation intensity distribution of the gas pipeline under the conditions of complex terrains and different environment temperatures, and further accurately assesses the damage range and the influence area of thermal radiation in a fire blast accident.

The invention relates to a stray light analysis method of a high-resolution camera optical axis change real-time monitoring system, and relates to the technical field of space optics. The stray light analysis method of the high-resolution camera optical axis change real-time monitoring system comprises the steps of system modeling, parameter setting, system surface infinitesimal element division, system space segmentation, ray tracing, stray light incident angle statistics, forward analysis according to a statistical result, and system stray light suppression level judgment through point source transmittance. On the basis of an existing method, a space division method is used for stray light analysis on the surface of each infinitesimal, the system is divided into a plurality of subspaces by arranging the surfaces, the number of the surfaces involved in intersection point solving is reduced, and therefore the calculation number is effectively reduced, and the stray light analysis speed is improved.

The invention belongs to the technical field of optical lenses, and particularly relates to a discrete point source bus set envelope fitting and optimization design method for expanding a light source to realize uniform illumination. Dispersing the expansion source into point light sources, and obtaining a cluster bus set based on an accurate mathematical model of the point light sources; according to an envelope principle, selecting an outmost contour including all features as much as possible, and fitting the outmost contour by using a polynomial under a polar coordinate system to serve as an initial generatrix of the light distribution lens; a root mean square error of an irradiance distribution numerical value obtained by running a two-dimensional ray tracing program is used as an evaluation index to optimize and fit various coefficients of a polynomial, finally, the lens suitable for achieving uniform illumination through extended source light distribution is obtained, and the problem that mathematical modeling of an extended source light distribution light path is difficult is solved; through verification, the performance is good, the irradiation uniformity is gradually improved to 92.7% from 76.8% of an initial structure, the edge irradiance gradient is improved to 0.45 from the initial 0.27, and the edge dispersion problem is effectively weakened.

The present application relates to the field of pollutant diffusion simulation and disaster emergency, in particular to a calculation method of pollutant point source explosion diffusion based on local micro-meteorological environment, comprising the following steps: S1. Data acquisition and preprocessing: obtaining local micro-meteorological data, point source pollutant parameters and terrain data, and performing data preprocessing; S2. Explosion parameter inversion: based on pollutant characteristics, initial release conditions and micro-meteorological environment parameters, key parameters of explosion shock wave and pollutant release are inverted; S3. Micro-meteorological-explosion-diffusion coupling simulation: a coupling model of micro-meteorological field, explosion shock wave field and pollutant diffusion field is constructed to simulate the interaction process; S4. Result output and visualization: the calculation results are sorted and analyzed, key information is output, and graphical display is performed. The present application realizes fine input and dynamic coupling of local micro-meteorological elements, establishes a linkage model of explosion shock wave and local airflow, and constructs a parameter adjustment mechanism for different local scenes.

The invention provides an earth surface deformation forward and reverse modeling method and system based on a mogi model. The method comprises the steps of obtaining an observation data file and a mogi point source parameter constraint file; determining deformation parameters of observation points from the observation data file, and obtaining regional optimal mogi point source parameters based on nonlinear least square inversion by combining the mogi point source parameter constraint file; position parameters of observation points are determined from the observation data file, mogi forward modeling is carried out based on regional optimal mogi point source parameters, and a theoretical earth surface deformation field is obtained; and calculating a residual index according to the theoretical earth surface deformation field and the deformation observation value of the observation point, and outputting the theoretical earth surface deformation field and the residual index which meet a preset evaluation requirement.

The invention relates to the technical field of calculation imaging, in particular to a space-time heterogeneous aberration intelligent calculation method, system and device and a computer storage medium. According to the invention, the optical sensor is placed on the rear focal plane of the micro-lens array to collect the four-dimensional light field information of the three-dimensional point source, and the sub-aperture image is extracted, so that a rich data basis is provided for aberration modeling. According to the method, scene Gaussian and aberration Gaussian parameters are initialized based on sub-aperture images, the scene Gaussian parameters are transformed by using an S3 Splitting mechanism and projected to a two-dimensional image plane to generate a rendered image, joint optimization is carried out through combination of a spatial domain and frequency domain loss function and an Adam optimizer, and accurate modeling and correction of space-time heterogeneous aberration are realized. And finally, the target scene is directly projected to generate a corrected high-resolution clear image in a Gaussian mode, complex optical hardware is not needed, and the problems that in the prior art, the spatial resolution is reduced, the time resolution is reduced, space-time heterogeneous aberration cannot be processed, and generalization is not high are effectively solved.

The present invention discloses a method for actually measuring the attenuation coefficient of broadband laser ultrasonic Lamb waves in metal thin plates, belonging to the field of nondestructive testing. Data acquisition stage: Use a nanosecond laser to set a point source excitation on the surface of an aluminum alloy thin plate, and then use a scanning laser Doppler vibrometer (SLDV) to measure the wave field and collect linear wave field data. Data processing stage: Use the time-frequency analysis of continuous complex wavelet transform to obtain the time-frequency spectrum of the one-dimensional wave field signal. Determine the effective analysis range, including the time upper limit and the frequency upper limit. Extract the amplitude data represented by the intercept line. Attenuation characteristic analysis stage: Extract the peaks of the amplitude data at multiple distance points to obtain discrete points of the amplitude change with distance at a specific frequency. The present invention provides a method for actually measuring the attenuation characteristics of broadband laser ultrasonic Lamb waves. The solution of the attenuation coefficient provides an important theoretical reference for the calculation of the effective detection range and the selection of the filtering frequency of damage scattered waves.

The invention relates to a coordinate transformation correction method for 3D point cloud space volume identification based on MLESAC and SVD. The coordinate transformation correction method comprises the following steps: preprocessing original point cloud data; extracting a reference plane, and constructing a mixed probability model through an MLESAC algorithm; calculating an optimal rotation matrix and an optimal translation vector by using the normal vector on the reference plane and the normal vector on the three-dimensional coordinate system and adopting an SVD (Singular Value Decomposition) algorithm; according to the obtained optimal rotation matrix and translation vector, rotation transformation and translation transformation are carried out on all point sources in the source point set P, and the point sources are made to fall on a target plane; and outputting the corrected point cloud, verifying the standard deviation of the distance from the corrected reference plane to the target plane, and ensuring that the standard deviation is close to zero. The beneficial effects of the invention are that through robust registration and accurate transformation, the problem of point cloud space coordinate offset caused by installation deviation of 3D scanning equipment is solved, and the accuracy and efficiency of cargo volume measurement are significantly improved.

The present invention discloses a method and equipment for investigating the distribution of non-sedimentary radioactive nuclides, including a sand density measuring device and a layer-by-layer peeling measurement model. The sand density measuring device is composed of a rectangular bracket, a slide plate, a detector, a mixed point source, a sleeve, a drill rod and a handle. The layer-by-layer peeling measurement model includes a detector, air, a sand attenuation layer, a virtual surface source and a volume source. The new technology and method for determining the distribution depth by using a double peak ratio is studied, which greatly improves the pertinence and accuracy of the measurement. The present invention designs and manufactures a special density measuring device on site, which can quickly and accurately give the density parameters of the measured object on site, eliminating the sampling and measurement process, greatly reducing financial expenses, and reducing workload and time. The present invention is mainly for 239 Pu and 241 The innovation of Am nuclide is therefore universal for other situations where multiple nuclides coexist in proportion and emit multiple energy rays, and its application range is very wide.

This invention discloses an electromagnetic eddy current defect imaging method and system based on parameter level sets. The method includes optimizing the parameters of an array of eddy current sensors; acquiring data from the metal component under test to obtain eddy current response signals under different excitation-reception conditions; reconstructing the three-dimensional defects based on a parameter level set reconstruction algorithm; setting the location of discrete point sources, the conductivity values ​​of the metal and defects, and the initial coefficient parameters of the basis functions; inputting the eddy current response signals into the level set reconstruction algorithm model to obtain the defect reconstruction objective function based on the parameter level set; calculating the Jacobian matrix and iteratively solving the objective function using the Gauss-Newton method, performing iterative updates, and determining whether the defect reconstruction has converged based on whether the deviation between the reconstruction results before and after the iteration is less than a threshold; and obtaining the final defect imaging result. This invention is easy to implement and does not require a mechanical scanning device; it can acquire information on internal surface defects of metal components through computational imaging.

The present application provides a multi-source satellite cooperative-based atmospheric carbon monoxide plume identification and quantification method, comprising: training a ViT model using TROPOMI data to realize global CO plume intelligent rough screening, and generating a first-level mask by SAM after detecting an event; introducing GaoFen-5 AHSI data for a first-level event, performing matching filtering to invert a CO enhancement field and driving SAM to generate a second-level mask; introducing WorldView-3 data for a second-level event, inverting a CO enhancement field through a logarithmic radiation ratio and driving SAM to generate a third-level mask. Finally, according to the resolution of each level of satellite, the IME method is used to estimate the emission rate of each level of point source. The present application constructs a three-level cooperative automatic detection system of 'global scanning-regional detailed investigation-local precise investigation', effectively improves the automation level and attribution ability of CO point source detection, and is suitable for emission verification of key industries and facilities.

The invention relates to the technical field of channel modeling, and particularly discloses a circular pipeline electric field reconstruction method and device based on mirror image method ray tracing and a medium, and the method comprises the steps: building a multi-path model through a mirror image method, setting the radius a of a circular pipeline, the coordinates # imgabs0 # of a transceiver at any position in the circular pipeline and the reflection frequency i, all propagation paths of a geometrical optical propagation model in a two-dimensional polar coordinate system are obtained, the electric field intensity is calculated, the circular waveguide function is calculated, the intensity component of each mode of the circular waveguide at different positions is calculated, the intensity component of each mode of the circular waveguide is calculated, the intensity component of each mode of the circular waveguide is calculated, the intensity component of each mode of the circular waveguide is calculated, the intensity component of each mode of the circular waveguide is calculated, the intensity component of each mode of the circular waveguide is calculated, the intensity component of each mode of the circular waveguide is calculated, the intensity component of each mode of the circular waveguide is calculated, and electric field reconstruction is carried out to obtain field distribution E 'Rx (rho, phi, z) at any position in the circular pipeline. According to the method, a geometrical optical model related to circular reflection is established and combined with a circular waveguide model, electromagnetic wave propagation characteristics between point sources at any position can be obtained, and fluctuation of path loss under the multi-mode condition can be explained.

The invention discloses a ship underwater water pressure field depth conversion method, which comprises the steps of constructing a ship electrostatic field conversion model based on a point charge model; the influence of the interface effect on a ship pressure signal under the shallow sea environment condition is equivalent to the influence of the interface effect on a ship corrosion related electrostatic field, and a model considering the influence of the medium effect on the ship electrostatic field is established; according to the electrostatic field model, a parallel equivalent source is constructed for a ship water pressure field along the longitudinal directions of a port and a starboard of a ship body based on a source-sink model, and a three-dimensional flow field problem is converted into an equivalent source model distribution problem; establishing a pressure signal inversion method of a point source on the basis of considering the influence of an interface effect on a ship pressure field signal and a source-sink model; the pressure signal model is solved, and then the pressure value of any field point is inverted; a multi-source coupling inversion system with physical interpretability is established, and the signal reconstruction precision under different water depth conditions is remarkably improved by introducing a constraint optimization algorithm; and the actual engineering requirements are met.

The application provides a method for automatically identifying smoke plumes of global large point sources based on satellite data, which is based on the column concentration data retrieved by high-resolution satellite remote sensing, selects the region around the global large point source as the research region, and obtains the local concentration enhancement data by deducting the background concentration from the original column concentration. The best global segmentation threshold in the research region is obtained, and the median of the foreground pixels is further taken as the final threshold. The pixels greater than the final threshold in the concentration enhancement image are recorded as the final pixel group, and the information of the final pixel group is traversed to screen out the initial screening plume pixels that meet the conditions, so as to screen out the plume pixels that meet the conditions. The retrieved global large point source emission plume is artificially identified, and the false positive plume is removed, so that the global large point source pollution gas emission smoke plume is finally obtained. The application can automatically identify the emission plume of the preset global emission point source during satellite observation.

The present invention provides a method and system for generating a mapping table of the interaction position between a crystal bar and gamma photons. By continuously mapping a crystal array with a point source or a general source, calculating the signals received by PMTs, and obtaining a scatter plot reflecting the interaction position of coincidence events. After removing the singular points in the two-dimensional position spectrum through digital processing, the local maximum algorithm is used for the two-dimensional position spectrum to estimate the center position of each crystal bar, and the data is binarized to obtain a binarized position map. The Euclidean distance from each pixel point to the nearest bright point is calculated for the binarized position map to obtain a distance distribution map. The local maximum values of the distance distribution map are obtained along the X direction and the Y direction respectively to divide the boundary positions of each crystal bar. In this way, each region corresponds one-to-one with the crystal bar array, and then the position mapping table of the system is determined. This method can cover all positions and there will be no divided dead zones.

The present invention discloses a method and device for infrared diffusion imaging of small targets based on a point source blackbody. First, based on the principle of small target infrared imaging diffusion, a small target diffusion imaging model is constructed to obtain a theoretical diffusion area that varies with distance. The constructed small target diffusion imaging model is calibrated based on dynamic test performance to obtain a small target diffusion calibration area. The small target diffusion calibration area is then compared with the actual diffusion area of ​​the small target measured to verify whether the derived diffusion calibration area conforms to the small target imaging diffusion size. This method and device overcome the problem in the prior art that the target imaging principle is not suitable for small target imaging ambiguity. It can effectively improve the accurate measurement of small target imaging size and provide a testing basis for target recognition in future infrared imaging systems.

The device and method for testing the point source transmittance of a space camera based on the principle of reverse light path belongs to the field of stray light testing technology, and specifically relates to the stray light test of a space camera; it solves the problem that the test device is expensive and the test accuracy and test threshold are affected by stray light in the existing stray light test of large-aperture space cameras; the device includes: a light energy detector, a flat surface light source, a lens fixture to be tested, a darkroom, and a test tank; the light energy detector is used to parse the complete PST curve in the direction of the light path from the flat surface light source to a given optical entrance and then to infinity. The device and method for testing the point source transmittance of a space camera based on the principle of reverse light path are suitable for testing the point source transmittance of a space camera.

The invention provides a gamma detector efficiency calibration method, device and equipment based on numerical integration, a medium and a program product. The method comprises the following steps: acquiring point source efficiency spatial distribution of a gamma detector; voxelizing the body source model of the to-be-detected body source to obtain a plurality of voxels; obtaining position efficiency corresponding to each voxel based on matching of the position information of each voxel and a point source position in point source efficiency space distribution; obtaining the distance from each voxel to the surface of the body source model in the ray direction pointing to the detection center of the gamma detector from each voxel, so as to obtain the attenuation length of each voxel; obtaining voxel efficiency of each voxel based on the attenuation length and the position efficiency of each voxel and the material attenuation coefficient of the to-be-measured body source; and processing the voxel efficiency of multiple voxels based on a passive efficiency calibration method of numerical integration to obtain the detection efficiency of the gamma detector on the to-be-detected body source.

The application relates to a measurement precision correction method for a digital geological compass. The method comprises the following steps: determining the magnetic field stability of a target position according to the difference between the total magnetic field strengths in a first interval; determining the magnetic field interference coefficient of each moment according to the difference between the total magnetic field strength of each moment and the total magnetic field strength of a target moment; determining the point source model fitting degree of a previous moment according to the difference between the magnetic field interference coefficients of each adjacent moment and the time length interval between each adjacent moment and an initial moment; determining a target time length according to the magnetic field interference coefficients in a second interval and the time length interval between each moment and the initial moment, and correcting the magnetic field data of each axis of the compass according to the difference between the magnetic field data of each axis of the target moment and the magnetic field data of the axis in the first interval and the target time length; and performing azimuth calibration on the compass according to the corrected magnetic field data of each axis and the latitude and longitude of the target position. The method can improve the accuracy of geological measurement.

The invention discloses a tunnel surrounding rock seismic wave rapid simulation method and device, electronic equipment and a storage medium, and the method comprises the steps: decomposing a point seismic source function into a series of Gabor basis function linear expression forms, and obtaining a Gaussian wave packet in a Cartesian coordinate system for describing the propagation characteristics of seismic waves in a specific direction; calculating a Gaussian wave packet phase term and an amplitude term according to kinematics ray tracing and dynamics ray tracing, a given speed parameter model and a complex number initial value to obtain propagation characteristics of a single Gaussian wave packet at a single angle; repeating the propagation calculation process of the single-angle single Gaussian wave packet according to a set angle interval in a pre-selected angle range to obtain propagation characteristics of multiple multi-angle Gaussian wave packets; and superposing the propagation characteristics of the multiple Gaussian wave packets at multiple angles to obtain a point source wave field simulated by the Gaussian wave packets in a pre-selected angle range. The rapid simulation method has the advantages of high simulation precision, high calculation efficiency, small memory occupation, directivity and the like.