103 results about "Atmospheric refraction" patented technology

The invention relates to the technical field of map data acquisition, in particular to a surveying and mapping geographic information map data acquisition method and system, and the method comprises the steps: building a space-time reference network: generating an underground-earth surface space-time reference network for connecting the underground with the earth surface through acousto-optic joint calibration; generating a multi-source correction parameter: fusing the underground inertial navigation data, the surface atmospheric refraction parameter and the equipment temperature drift coefficient, and calculating a multi-source correction parameter set for coordinate system conversion and error compensation; space-time evolution element collection: calibrating a mobile collection device in real time by using the multi-source correction parameter set, synchronously obtaining underground pipeline point cloud, an earth surface building image and a construction machinery track, and generating a space-time evolution element body with a space-time version label; and dynamic topology evolution modeling: analyzing an element change sequence in the spatio-temporal evolution element body, and constructing a dynamic evolution topology model. According to the method, differential analysis and a conflict backtracking strategy are combined, so that the adaptive updating and decision support capability of the map data in a construction disturbance scene is improved.

The invention relates to the cross technical field of atmospheric science and communication technology, in particular to an atmospheric refraction and waveguide environmental parameter detection and prediction method and device, and the method comprises the following steps: carrying out the power distribution of a light beam of a broadband light source through employing a light splitting element based on the emission of the broadband light source, and forming a detection light beam and a reference light beam, and guiding the detection light beam to pass through a preset open atmosphere optical path, and guiding the reference light beam to pass through a known refractive index stabilizing medium or a vacuum pipeline. The detection light beam and the reference light beam are formed through light splitting of the broadband light source, the detection light beam penetrates through the open atmosphere path, the reference light beam passes through the stable medium, Fourier transform is carried out on interference signals of the two light beams to extract wavelength phase difference mapping data, and tiny optical path change caused by atmospheric refractive index disturbance can be captured. Compared with the traditional single-point or single-path measurement, the sensing sensitivity and the measurement dimension of the atmospheric refractive index spatial nonuniformity are improved by using the broadband spectral information.

The invention is suitable for the field of tracking rotary tables, and provides a follow-up identification adjustment control method and system for a tracking rotary table, and the method comprises the steps: collecting the peripheral data of the tracking rotary table in a multi-modal manner; acquiring and fusing the acquired surrounding data of the tracking turntable; establishing a three-dimensional space error model; generating a prediction control strategy based on the three-dimensional space error model; and generating an intelligent feedback optimization result based on a prediction control strategy, and the method has the beneficial effects that by means of deep fusion and accurate analysis of multi-modal data, the tracking turntable is endowed with excellent environmental adaptability and target tracking capability. Complex environment interference such as atmospheric refraction, illumination change and shielding can be effectively handled, the tracking precision is improved, online self-adaptive adjustment can be achieved through an intelligent feedback optimization mechanism and a control strategy, the stability, reliability and intelligence of the system are remarkably enhanced, and an advanced and efficient technical solution is provided for target tracking application in multiple fields.

The invention relates to the technical field of satellite navigation and positioning, in particular to a zenith troposphere wet delay calculation method based on deep learning, and the basic steps of segmented ZWD multi-source data fusion based on an improved Transform model are as follows: establishing a ZTD model, establishing a TCA-Transform model, and fusing data. The task of establishing the ZTD model is to calculate the atmospheric refractive index according to meteorological data so as to obtain ZTDPP; the TCA-Transform model establishment comprises the following steps of: improving a Transform model by using a domain self-adaptive method; according to the data fusion, the ZWDPP and the ZWDMODIS are fused by using a TCA-Transform model. And finally, a ZWD product with high temporal-spatial resolution and high precision can be obtained. The generalization ability of an original Transform model is improved, so that the troposphere delay correction ability in a specific area is improved, and a zenith troposphere delay (ZWD) product with high resolution and high precision is obtained.

The invention is applicable to the technical field of concrete deformation measurement, and particularly relates to a non-contact concrete deformation testing system and method based on a laser ranging technology, and the system comprises a laser ranging unit which is provided with a double-frequency phase modulation laser, an optical transceiver antenna and a phase detection circuit; the environmental parameter acquisition unit comprises a temperature sensor, a humidity sensor and an air pressure sensor; and the data processing unit carries an atmospheric refractive index calculation module, a Kalman filtering algorithm and a three-level early warning module, and supports wired / wireless data transmission. The distance measurement precision is high, and the concrete micro-deformation monitoring requirement is met; non-contact characteristic: non-damage monitoring on the concrete surface is realized through a diffuse reflection target; intelligent data processing: structural deformation and environmental noise are effectively distinguished, and the early warning reliability is improved; automatic monitoring is achieved, and the manual inspection cost is greatly reduced.

The invention discloses a single-satellite target sight atmospheric refraction correction method and system based on multi-spectral range finding, and relates to the field of atmospheric refraction processing, and the method comprises the steps: determining a target radiation intensity ratio based on two radiation intensities on different wavebands at the same moment; obtaining observation sight lines of the satellite on the measured target on different wave bands at the same moment, and carrying out light trace tracking to obtain a light ray tracking trajectory; determining a target grid through which each ray tracing trajectory passes from the atmosphere gridding model, determining an extinction coefficient of each target grid, and constructing a target function of a radiation intensity ratio with respect to the height of the target from the ground in combination with a radiation intensity calculation formula; determining a target height from the measured target to the ground based on a target function and a target radiation intensity ratio, determining the position of the measured target according to a track point matched with the target height in each light ray tracing track, and determining a sight line vector after atmospheric refraction correction by combining the position of a satellite, therefore, high-precision atmospheric refraction correction under a single-star observation condition is realized.

The invention provides an occultation constellation observation system simulation and forecast capability evaluation method, which comprises the following steps of: simulating and calculating an atmospheric refractive index by using a GNSS (Global Navigation Satellite System) radio occultation refractive index observation operator; simulating and calculating a one-dimensional bending angle by using a GNSS radio occultation one-dimensional bending angle observation operator; simulating and calculating a two-dimensional bending angle by using a GNSS radio occultation two-dimensional bending angle observation operator; correcting the bending angle of the L2 frequency on the basis of the difference between the bending angles of the L1 and L2 frequencies; and completing quality control of occultation observation data based on the atmospheric refractive index, the one-dimensional bending angle, the two-dimensional bending angle, the corrected bending angle of the L2 frequency and the actually collected occultation observation data, wherein the atmospheric refractive index, the one-dimensional bending angle and the two-dimensional bending angle are calculated through simulation. By establishing the error evaluation model for the autonomous occultation constellation observation data, the assimilation application effect of the autonomous occultation constellation observation data in the numerical weather forecasting system can be optimized, and direct technology and experience can be provided for business operation of future observation data in the numerical weather forecasting system.

The invention discloses a distributed ground-based radar atmospheric refraction error calculation method for celestial body observation. According to the method, a local numerical weather forecast model is corrected by using real-time surface meteorological parameters, atmospheric refractive index profile data containing elevation meteorological information is obtained, a geometric elevation angle of a celestial body target is taken as a standard, and a neutral atmospheric refractive index error is searched in combination with a corrected data source and a ray tracing method, so that the atmospheric refractive index is obtained. And finally, neutral atmospheric refraction error calculation and correction are realized. The effectiveness of the algorithm is verified through simulation.

The invention discloses an offshore floating type low-altitude waveguide all-weather detection method and system, and relates to the technical field of marine environment monitoring and electronic information engineering.The method comprises the steps that the current weather condition is judged according to a rain intensity sensor, a miniature weather station, a visibility sensor and an infrared cloud measurement sensor; obtaining a temperature and humidity value range according to the current weather condition, and adding liquid water for correction according to the weather condition; a simulated brightness temperature is obtained according to a MonoRTM model by combining an air pressure profile constructed by sea surface air pressure and a pressure height formula; designing a multi-objective genetic inversion algorithm, constructing an objective function, and when the objective function obtains a minimum value, obtaining an inverted atmospheric parameter profile group; and according to the atmospheric parameter profile group, calculating an atmospheric refractive index profile, judging whether a low-altitude waveguide occurs or not, and uploading a result to a shore station data management center. According to the invention, the atmospheric absorption coefficient is corrected according to different weathers, and all-weather and high-precision monitoring of the low-altitude waveguide on the offshore floating platform is realized.

The embodiment of the invention discloses an all-day and all-world time measurement method and device. A specific embodiment of the method comprises the following steps: constructing a short-wave infrared astronomical survey star catalogue; constructing a short-wave infrared astronomical geodetic survey star database according to the short-wave infrared astronomical survey star catalogue; optimizing the short-wave infrared astronomical geodetic survey star library to obtain an optimized short-wave infrared astronomical geodetic survey star library, and correcting atmospheric refraction errors in the optimized short-wave infrared astronomical geodetic survey star library; carrying out all-day fixed star point coordinate extraction on the shot multi-frame daytime star map to obtain fixed star point coordinates; and according to the star point coordinates of the fixed star, carrying out all-day astronomical observation world time calculation on the observation fixed star to obtain all-day world time. According to the embodiment, unified comparison of multi-period monitoring data is realized, and the engineering practicability of a monitoring result is improved.

The invention relates to the field of marine meteorological monitoring, and discloses a GNSS-based offshore troposphere atmospheric parameter profile inversion method, which comprises the following steps of: obtaining actual observation values of total troposphere zenith delay, dry delay and wet delay; obtaining troposphere atmospheric parameter profile statistical characteristics through clustering analysis; data points related to temperature, water vapor pressure and air pressure are constructed by utilizing troposphere atmospheric parameter profile statistical characteristics, and theoretical values of zenith total delay, dry delay and wet delay corresponding to the data points are calculated through forward modeling; and selecting one or more of total troposphere zenith delay, dry delay and wet delay, utilizing an optimization algorithm to invert a troposphere atmospheric parameter profile, performing iteration to obtain an optimal data point, performing data quality control on the temperature, the water vapor pressure, the air pressure and the atmospheric refractive index corresponding to the optimal data point, and outputting the temperature, the water vapor pressure, the air pressure and the atmospheric refractive index. The method disclosed by the invention is low in equipment installation and maintenance cost, is suitable for an offshore observation platform, is reliable in inversion result, and can provide support for offshore troposphere atmosphere research.

The invention provides a fixed star sight atmospheric refraction correction method for optical satellite limb observation, and the method comprises the steps: constructing an atmospheric ellipsoid model according to an earth atmosphere parameter set and earth ellipsoid parameters; according to the satellite orbit, the attitude measurement value, the image imaging time, the fixed star image plane coordinate and the satellite camera parameter, calculating the fixed star sight line; performing penetration layer atmospheric refraction correction on the fixed star sight line based on the atmospheric ellipsoid model to obtain a corrected first fixed star sight line; based on the atmosphere ellipsoid model, performing penetrating layer atmosphere refraction correction on the corrected first fixed star sight line to obtain a corrected second fixed star sight line; and calculating the right ascension and declination of the fixed star by using the corrected second fixed star sight line. According to the method, fixed star sight atmospheric refraction correction processing of optical satellite limb observation can be realized, so that support is provided for high-precision geometric processing of optical satellite limb observation images.

The invention provides a visual celestial navigation method based on sun centroid extraction and sea-sky-line fitting. Belongs to the application of image processing technology in the field of celestial navigation. The method mainly comprises the steps of extracting a high-precision sea-sky-line by using a textural feature segmentation and Canny-Hough transform combined algorithm, and extracting a sky region based on a sea-sky-line segmentation result. A solar facula image candidate region and a sun candidate contour are constructed through a sky region, a dual optimization strategy of region similarity screening and facula feature scoring is proposed, and sub-pixel-level sun centroid coordinate calculation is realized by combining an intensity weighted center method and nonlinear least square two-dimensional Gaussian model fitting. And further constructing a camera coordinate system space vector through the orthogonal projection point of the sea-sky-line and the sun centroid, calculating a sun elevation angle based on a vector included angle, and performing angle compensation by adopting an atmospheric refraction correction model. And finally, fusing multi-moment observation data through a sun shift line positioning method, completing autonomous calculation of the ship position, and improving the positioning precision.

The invention discloses an SLR troposphere delay modeling method based on ray tracing, and the method comprises the steps: obtaining basic meteorological parameters which are defined on a multi-layer air pressure surface, and have a corresponding value at each horizontal grid node; respectively carrying out vertical interpolation, high altitude continuation and refractive index calculation based on the obtained basic meteorological parameters to obtain a refractive index field defined on the three-dimensional grid; and calculating integral delay along the observation path based on the refractive index field in combination with an SLR ray tracing algorithm. Specifically, a numerical weather model (NWM) is combined with a ray tracing technology to carry out three-dimensional modeling on an atmospheric refractive index field so as to realize delay correction with higher precision.

The invention discloses a rainy day troposphere refractive index profile inversion method based on a buoy platform, and relates to the technical field of marine atmosphere exploration, and the method comprises the steps: obtaining a priori knowledge base based on sounding data statistical learning, setting a threshold value, and searching and constructing an initial parameter profile in the priori knowledge base; decomposing the population into a plurality of sub-populations, distributing each sub-population to different CPU / GPU nodes, and calculating a target function for each individual; obtaining sea surface temperature and sea surface humidity from the buoy platform as boundary constraint conditions, performing inversion by using a multi-target genetic immune algorithm, and obtaining an inversion result when a target function value is less than or equal to a threshold value; and calculating an atmospheric refractive index profile based on an inversion result. According to the method, attitude shaking of the offshore floating platform is considered and corrected; the accuracy of inversion of the troposphere refractive index profile in rainy days is effectively improved, the offshore troposphere refractive index profile is detected in real time, and the calculation efficiency is effectively improved.

The invention discloses a target sight atmospheric refraction correction method and system based on multi-satellite observation, and relates to the field of atmospheric refraction processing, and the method comprises the steps: obtaining all observation sight lines of different satellites for the same measured target; performing light trace tracking on the observation sight line to obtain a propagation trajectory of the observation sight line in the atmosphere; determining the distance between the trajectory points on every two propagation trajectories, determining two target trajectory points corresponding to the minimum distance on every two propagation trajectories, and determining a midpoint between the two target trajectory points; determining the position of the measured target according to each midpoint; the position of any satellite is connected with the position of the measured target, so that the sight vector of the measured target after atmospheric refraction correction by any satellite is obtained. According to the method and the device, the position of the measured target is determined more accurately, so that the atmospheric refraction correction precision and effect can be improved.

The application discloses a ground absolute microwave ranging method and system based on double-path echo and RTK differential measurement, which can apply carrier phase ranging to absolute ranging. The system adopts RTK differential measurement to solve the phase integer ambiguity, especially simultaneously differentiates the observation values of two ends of the ranging main terminal, solves the extra error introduced by the traditional RTK double difference in the two-point transfer differential value, and finally compensates the error by using an atmospheric refraction correction structure model, so that the sub-millimeter level precision is achieved under the kilometer level measurement distance.

The invention discloses a neutral atmosphere refractive index calculation method and system suitable for different heights, and belongs to the technical field of communication and navigation. During modeling, monthly average reanalysis data is used as input to calculate the three-dimensional refractive index field of the neutral atmosphere, and horizontal, vertical and time domain change characteristics of the refractive index are represented by adopting a regular grid, a third-order index and a trigonometric function; when in use, the refractive index of any target point at any time within a global near-surface space range of 85 km can be calculated through space-time interpolation and elevation normalization only by giving the longitude, latitude, geodetic height and simplified Julian day of the target point. According to the method, the empirical modeling of the global neutral atmosphere refractive index field is realized by utilizing reanalysis data for the first time, the refractive index calculation precision at different height positions is improved through third-order index elevation normalization, and the method has important application value in the communication and navigation fields such as electromagnetic wave signal propagation path simulation and neutral atmosphere delay calculation correction.

The invention provides a troposphere anisotropy-considered real-time PPP positioning method, and relates to the technical field of satellite navigation and positioning, and the method comprises the following steps: S01, receiving real-time GNSS observation data, broadcast ephemeris data and precision correction data, carrying out detection and restoration of clock slip and cycle slip, data quality control and preprocessing of antenna phase correlation errors on the data to obtain a preprocessed data set; s02, calculating the solar altitude after atmospheric refraction correction according to each preprocessed data set and the geographic position and observation time of the observation station corresponding to each data set; and S03, based on the solar altitude and the satellite altitude. According to the method, solar altitude parameters are introduced, the troposphere anisotropy effect caused by solar radiation is effectively modeled, and the precision and convergence speed of real-time precise single-point positioning are remarkably improved.

The application discloses a kind of atmospheric time delay calculation method based on ray tracing, the present application relates to atmospheric time delay calculation technical field, the specific content of the present application is: obtaining multi-source meteorological data, extracting temperature, specific humidity, three kinds of key meteorological parameters such as air pressure, by optimizing interpolation to complete vertical layering blank and correct grid deviation, to construct three-dimensional atmospheric parameter field of time and space continuity;Based on atmospheric physical characteristics and electromagnetic wave propagation principle, calculate atmospheric refractive index and its gradient;With station location as starting point, set the angle of incidence of electromagnetic wave, adopt nonlinear dynamic step length strategy to track propagation path, and compare actual and vacuum propagation time to obtain time delay result.The present application considers data integrity and timeliness, avoids experience model deviation, and improves the calculation precision of atmospheric time delay.

The application provides an atmospheric waveguide detection system, method and device based on unmanned aerial vehicles, which comprises a server, a benchmark test system and a first unmanned aerial vehicle swarm comprising N unmanned aerial vehicles. The server determines the vertical height of the N unmanned aerial vehicles relative to a test surface at time t based on the first height relative to a benchmark point and the second height relative to the test surface of the benchmark test system at time t, and the third height relative to the benchmark point of the N unmanned aerial vehicles at time t. The server obtains the measurement data corresponding to the N unmanned aerial vehicles at time t, determines the corrected atmospheric refractive index of the N heights corresponding to the N unmanned aerial vehicles at time t based on the N measurement data and the N vertical heights, fits the N corrected atmospheric refractive indexes to determine a target curve, and calculates the atmospheric waveguide parameter at time t based on the derivative result of the target curve. The application adopts the unmanned aerial vehicle swarm mode to detect the corrected atmospheric refractive index at different heights, so as to calculate the atmospheric waveguide parameter, and the detection precision can be improved.

The invention discloses an atmospheric laser communication turbulence compensation method based on a novel Kolmogorov-Zakharov model, and belongs to the technical field of atmospheric laser communication. The objective of the invention is to solve the technical problem that the transmission quality and stability of atmosphere laser communication are affected due to reduction of compensation precision in a strong turbulence scene in the prior art. The method comprises the following steps: acquiring phase distribution and light intensity fluctuation of a laser signal in real time to obtain an atmospheric refractive index structure constant, mapping a model parameter and an atmospheric laser communication physical quantity, and updating a model based on the atmospheric refractive index structure constant; based on the model and a Helmholtz equation of atmospheric laser transmission, an atmospheric laser channel KZ turbulence random matrix model is obtained and solved, and a prediction result is obtained; and then turbulence dynamic compensation is carried out based on a prediction result. The method is mainly used for atmosphere laser communication turbulence compensation.

The invention relates to the technical field of frequency modulation laser ranging, in particular to an atmospheric refractive index correction method for frequency modulation laser interference ranging, which can correct the change of a frequency-distance relationship caused by the change of an atmospheric refractive index, finally obtain an actual distance value and improve the accuracy of frequency modulation laser ranging. According to the invention, the temperature, humidity and atmospheric pressure of the environment are collected in real time, and the refractive index of each time of distance measurement is calculated by using the corrected Edlen formula, so that the influence of environmental factors on the light propagation speed can be accurately considered; calculation is carried out by using the relationship between the frequency after the refractive index correction and the distance, so that the distance measurement error caused by the change of the refractive index can be obviously reduced, and the overall precision of distance measurement is improved.

The invention discloses a shipborne marine atmospheric boundary layer refractive index profile detection system and method, and relates to the technical field of marine atmospheric environment monitoring and electromagnetic wave propagation safeguard.The method comprises the steps that sea-air downlink infrared radiation spectrum data and sea surface air temperature, relative humidity and air pressure data are obtained; constructing a background atmosphere profile by using the reanalysis data, and correcting an initial profile bottom layer by using sea surface observation air temperature, relative humidity and air pressure data to form a prior state vector; constructing an inversion cost function including an observation residual term, a background prior term and a sea surface boundary constraint term, and performing inversion to obtain an atmospheric temperature profile and a relative humidity profile; and calculating an atmospheric refractive index profile according to the temperature profile, the relative humidity profile and the air pressure profile. According to the method, the marine atmospheric refractive index profile can be continuously obtained under the shipborne dynamic observation condition, and reliable data support is provided for marine electromagnetic propagation environment analysis and waveguide diagnosis.

This invention relates to the field of satellite simulation technology, and discloses a method, device, and electronic equipment for simulating ultra-high resolution multi-view satellite images. The method includes: constructing a rigorous imaging geometric model between ground points in a preset three-dimensional scene and image points of a satellite sensor based on atmospheric refraction correction and solid tide correction; generating global illumination realistic shadows under the rigorous imaging geometric model based on solar radiation, and simulating the pixel output of the satellite sensor according to the global illumination realistic shadows to obtain a multi-view satellite image model; simulating different view images of the satellite sensor based on the multi-view satellite image model to obtain multi-view satellite images, and determining the rational function model of the rigorous imaging geometric model. This invention can overcome the limitations of traditional DSM / DOM data sources, taking into account the requirements of multi-view, ultra-high resolution, ultra-high precision, and fine detail, and achieving engineering simulation output of multi-view satellite images at the 0.2m level.

The present invention discloses a method for inverting the refractive index profile of the troposphere on rainy days based on a buoy platform, which relates to the technical field of offshore atmospheric detection, including obtaining a priori knowledge base based on statistical learning of sounding data, setting a threshold, searching in the priori knowledge base, and constructing an initial parameter profile; decomposing a population into a number of sub-populations, and distributing each sub-population to different CPU / GPU nodes, and calculating an objective function for each individual; obtaining sea surface temperature and sea surface humidity from the buoy platform as boundary constraints, and performing inversion using a multi-objective genetic immune algorithm, and obtaining an inversion result when the objective function value is less than or equal to the threshold; and calculating the atmospheric refractive index profile based on the inversion result. The present invention takes into account the attitude sway of the offshore floating platform and corrects it; effectively improves the accuracy of the inversion of the refractive index profile of the troposphere on rainy days, realizes real-time detection of the refractive index profile of the offshore troposphere, and effectively improves the calculation efficiency.

The application discloses a ground-based space target monitoring radar atmospheric refraction error correction method. The ground-based space target monitoring radar atmospheric refraction error correction method comprises the following steps: based on the vertical distribution of atmospheric refraction index and the radar elevation angle measurement value, the signal propagation path is accurately recursively calculated by using the refraction theorem and geometric relationship, the corresponding elevation angle, geocentric angle and target apparent distance of different heights are calculated, and a one-to-one corresponding relationship between the apparent distance and the distance, the elevation angle measurement error is established; then, according to the radar distance measurement value, the radar distance and the elevation angle measurement error are calculated by interpolation, and finally, the distance and the elevation angle measurement error caused by the atmospheric refraction of the space target monitoring radar are corrected. The ground-based space target monitoring radar atmospheric refraction error correction method has higher error calculation precision under the condition of given layer interval, has more stable error correction performance, and can more accurately correct the atmospheric refraction error of the space target monitoring radar.

The invention discloses a foundation construction laser leveling control device based on dynamic leveling. The foundation construction laser leveling control device comprises a laser reference unit and a construction end control unit. The laser reference unit is provided with a direct-drive holder attitude stabilization platform and an inertial measurement unit, the inner ring control frequency is not lower than 200Hz, a laser reference plane can be kept horizontally stable when a base vibrates or the attitude changes, an environment and refraction compensation module is arranged, and the refractive index gradient is estimated and the measurement error is corrected in real time through a temperature sensor, a humidity sensor and an air pressure sensor. The construction end control unit comprises a multi-source sensing and state estimation module and a prediction control module, and based on extended Kalman filtering, a laser receiver, inertial measurement and positioning data are fused, and the knife edge height state quantity is output. The device effectively solves the problems of reference deviation and height errors caused by foundation vibration, equipment shaking and atmospheric refraction in the construction process of a traditional device, and the leveling precision and the dynamic stability are remarkably improved.

The application discloses a Beidou InSAR atmospheric error compensation method based on region division, and divides the propagation path from a receiver to a PS point target into a propagation region and an estimation region. For the atmospheric error phase of the propagation region, it is regarded as a constant; and for the estimation region, the atmospheric refractive index is estimated by combining the imaging of different satellites, phase results and PS point selection results. The atmospheric refractive index of each PS point in the scene is estimated, the connectivity of the atmospheric refractive index of the scene is judged by using the median absolute deviation method, the atmospheric refractive index of the points which do not satisfy the connectivity, i.e. outliers, is corrected. Finally, the phases in the propagation region and the estimation region are added, so that the atmospheric phase of each target is obtained, the atmospheric phase compensation is realized, and the precision of deformation inversion and the effective early warning of disasters are improved.

This invention discloses an intelligent environmental pollution assessment and monitoring platform based on industrial big data, belonging to the field of data management technology. It analyzes the attenuation characteristics of echo signals through an attenuation anomaly feature acquisition module, calculates the impact of atmospheric refraction on the laser propagation path through an angle offset feature acquisition module, evaluates the pollutant measurement accuracy using a data prediction model through a measurement accuracy calculation module, and dynamically adjusts the laser power and emission angle in a measurement error correction module to improve measurement accuracy. This technology can effectively reduce the interference of meteorological conditions on lidar measurements, improve the accuracy and stability of pollutant concentration monitoring, and provide more reliable data support for environmental pollution monitoring.