128 results about "Distance correction" patented technology

The invention discloses a millimeter wave SAR icing thickness inversion algorithm based on deep learning, and aims to solve the problems of insufficient icing monitoring precision and poor real-time performance under complex meteorological conditions. According to the algorithm, high-quality input is provided for deep learning modeling through data preprocessing including slope distance correction, polarization denoising, back scattering characteristic extraction and data enhancement. A multi-branch deep neural network structure is adopted for feature extraction, and in combination with a Swin Transformer V2 trunk, a Gated MLP module, cross-modal attention fusion and physical consistency constraint, the adaptability of the model to millimeter wave SAR data and multi-modal input is improved. Meteorological parameters and line operation data are integrated through multi-modal data fusion, and model robustness is enhanced. Finally, an icing thickness prediction value is output through real-time reasoning, intelligent early warning is triggered in combination with confidence analysis, end-to-end real-time response is achieved, the intelligent level of safe operation of a power grid is remarkably improved, and the method has wide application value.

The invention discloses an edge spraying compensation control method based on intelligent visual feedback. The method comprises the following steps: performing space scanning on a to-be-sprayed workpiece to obtain spraying image data, and establishing a space corresponding relation between a spray gun motion coordinate and a workpiece surface coordinate; registering the real-time spraying image by using the corresponding relation, identifying a geometric boundary line, brightness gradient change and a coating adhesion area of the edge of the workpiece, and generating edge feature data; according to the difference between the edge feature data and the target spraying image, the spraying coverage deviation and the boundary overlapping error are calculated, the coating thickness change trend, the optical density change rate and the boundary direction offset are extracted, and the spraying gun posture adjustment amount, the spraying distance correction amount, the spraying pressure correction amount and the path speed correction amount are generated; the angle, the spraying distance, the pressure and the movement speed of the spray gun are dynamically adjusted according to the parameters; according to the method, real-time visual feedback and self-adaptive compensation control in the spraying process are achieved, and the uniformity and consistency of the coating on the edge of the workpiece are effectively improved.

The invention belongs to the technical field of ocean laser radar remote sensing detection, and particularly relates to an ocean subsurface water body element vertical structure inversion method and system and a computer program. The method comprises the following steps: carrying out preprocessing, distance correction and logarithm conversion on a laser radar echo signal; constructing an iterative hybrid inversion model to invert a water body attenuation coefficient and a particulate matter backscattering coefficient; performing scattering correction for multiple times; matching multi-source data to construct a deep learning model; and finally inverting the chlorophyll concentration and the vertical section of the granular organic carbon. According to the method, the multiple scattering effect of the water body and the influence of system parameters are comprehensively considered, data driving and a physical model are combined, high-precision and automatic marine water body element inversion can be achieved under the complex water quality condition, and the method is suitable for ecological environment monitoring and research of large-range and multi-type sea areas.

A kind of passive temperature measurement ranging method and system based on multispectral infrared, multispectral long-wave infrared detection system is designed, multispectral infrared temperature measurement ranging model is constructed, the difference between the minimum system observation value and model calculation value is taken as objective function, KKT and gradient descent method are used to solve model parameters preliminarily.Further, the temperature and distance correction model is established, the loss function fusing data error term and physical information term is designed, and the corrected temperature and distance are obtained.The multispectral long-wave infrared detection system is used to obtain infrared thermal image of specific wavelength, and the multispectral infrared detection model is established, the temperature and distance of target object are synchronously obtained, and the accuracy and reliability are high.

The invention belongs to the technical field of seismic data processing in geophysical exploration, and relates to a Marchenko multiple suppression method for correcting wave field mismatch based on Wasserstein distance, which comprises the following steps: acquiring a pulse reflection sequence through preprocessing and deconvolution; a pulse reflection sequence is input, and Marchenko iteration initialization is carried out; and remodeled Marchenko iteration for correcting the wave field mismatch based on the Wasserstein distance is carried out. According to the method, the optimal transmission theory is systematically introduced into the Marchenko multiple wave suppression field for the first time, the adaptive capacity of the Marchenko method to actual data noise, defect and amplitude distortion is remarkably improved while the advantage that the Marchenko method does not need a speed model is kept, and therefore higher-precision multiple wave suppression and more reliable primary wave recovery are achieved, and the method is suitable for popularization and application. The method is used for high-precision seismic imaging in a complex land exploration environment. The method has remarkable advantages in the aspects of constraint mechanism, error control and global feature protection.

In order to facilitate accuracy improvement in identification of a position of vibration on a road caused by a vehicle and detected through an optical cable, this distance correction device: derives, from vibration data for each optical fiber distance detected through an optical fiber installed along the road on which the vehicle travels, a first vibration value indicating the magnitude of vibration within a prescribed frequency range for the optical fiber distance; derives, from the first vibration value, a bridge optical fiber distance which is an optical fiber distance to a prescribed position of the optical fiber installed at a bridge; and corrects, from the bridge optical fiber distance and a road distance which is a distance, along the road, from a reference point to a bridge optical fiber position, the optical distance within a prescribed range so as to be closer to the road distance.

The invention belongs to the technical field of coal mine tunneling equipment positioning, and provides a method and a system for positioning a tunneling and anchoring all-in-one machine in a coal mine tunneling roadway in order to solve the problems of error accumulation, environmental interference and system reliability existing in a traditional underground positioning mode. The method comprises the following steps: acquiring multi-source sensing data acquired by a multi-source sensor array deployed on a digging and anchoring all-in-one machine; performing time synchronization and space synchronization processing on the multi-source sensing data to obtain a fusion data set under a unified timestamp and a unified coordinate system; and inputting the fusion data set into an improved Kalman filtering framework for data fusion, performing distance correction by using a mahalanobis distance, and determining a real-time pose state of the driving and anchoring all-in-one machine according to a data fusion result and a distance correction result. According to the invention, the positioning precision, the system robustness and the reliability of the digging and anchoring all-in-one machine under extremely severe working conditions are obviously improved, and the inherent defects of large accumulative error, easiness in environmental interference and easiness in failure in a traditional single sensor positioning mode are effectively overcome.

The invention discloses a campus take-out order data management system based on location-based service, and belongs to the technical field of order management. The system comprises a positioning data acquisition module, an environment adaptive modeling module, a distance correction module and a confidence evaluation module. The method comprises the following steps: triggering a code scanning action of a rider, and synchronously obtaining GPS coordinates and Bluetooth signal intensity; establishing an adaptive signal attenuation model based on historical data of the meal taking cabinet, and calculating a high-precision correction distance; and finally, carrying out spatial vector consistency verification by fusing the GPS position and the correction distance, and generating an arrival confidence score, thereby accurately triggering order delivery confirmation, enhancing the discrimination capability of a false arrival behavior, remarkably improving the accuracy of order state updating, and improving the user experience. The problem of false delivery misjudgment of a rider caused by inaccurate positioning of the GPS in a complex environment in the prior art is solved.

The invention discloses a sight tracking method and system based on cascade deep learning and distance correction, and a storage medium. The method comprises the following steps: processing an eye image through a cascade deep learning model, and obtaining pupil center coordinates and cornea reflection light spot coordinates of two eyes; calculating a binocular pixel distance as a distance correction factor based on the pupil center coordinates, and calculating a relative position difference vector based on the pupil and light spot coordinates; establishing a three-dimensional nonlinear polynomial regression model taking the relative position difference vector and the distance correction factor as input; obtaining calibration data through a multi-distance sampling strategy and solving a model coefficient; and in the real-time tracking stage, calculating the coordinates of the fixation point of the screen by using the solved model. According to the method, the distance correction factor and the three-dimensional mapping model are introduced, so that geometric errors caused by forward and backward movement of the head of the user are effectively eliminated, meanwhile, the feature point positioning precision is ensured through cascaded deep learning detection, and the precision and robustness of a sight line tracking system are remarkably improved.

The invention provides a correction deviation value obtaining method and device. According to the method and the device, the situation that the vehicle presses the elevation change object such as a well lid, a pit or a deceleration strip on the ground under the condition that the vehicle does not have actual collision is considered, so that the pressing moment when the vehicle actually presses the elevation change object such as the well lid, the pit or the deceleration strip is obtained. And the correction deviation value is obtained based on the over-pressing moment, so that subsequent error correction is facilitated. According to the method, the first distance correction deviation value of the distance sensor, the first speed correction deviation value of the speed sensor and the first moment correction deviation value of the output moment when the distance sensor outputs the distance can be obtained under the condition that the vehicle is not subjected to actual collision, so that the safety of the vehicle is improved; and the precision of the obtained first distance correction deviation value, the first speed correction deviation value and the first moment correction deviation value is not reduced.

The invention relates to the technical field of atmospheric environment monitoring and optical detection, in particular to an aerosol vertical profile correction method and device for aerosol scattering coefficient and laser radar combined observation, and the method comprises the steps: S1, collecting echoes according to an integral window, and obtaining distance correction echoes; s2, collecting a height scattering coefficient greater than or equal to 2, and aligning the height scattering coefficient with a distance correction echo grid / time; s3, background deduction, resolution matching and invalid height elimination are carried out to obtain preprocessed echoes; s4, generating an initial scattering coefficient profile; s5, identifying layered boundary division layer intervals; s6, establishing a correction factor model for each layer, adding overlap compensation to the near earth, and introducing a system constant; s7, taking the consistency of the total height of the theoretical echo and the preprocessed echo as a target, taking the consistency of multi-height scattering coefficients as a constraint, and carrying out joint solving to obtain correction factor distribution; and S8, outputting a correction profile, boundary information and a parameter set. According to the method, system constants and overlap compensation are solved by preprocessing echo layering scale gradient correction factors through combination of full-height consistency and two-height actual measurement constraints, and a correction profile is stabilized.

The invention discloses a three-dimensional modeling device and method for a semiconductor factory. The method comprises the steps that an acquisition module acquires interface layout information and connection element data of the semiconductor factory; the equipment modeling module receives semiconductor factory interface layout information, determines a three-dimensional modeling starting point and generates a semiconductor factory equipment model containing an equipment interface; the connection element modeling module determines an element connection path by using semiconductor factory starting equipment or factory service interfaces, combining element interface matching rules and logic relation information among elements, and fusing a three-dimensional touch automatic checking algorithm and an optimal path algorithm based on safe distance correction; and interface connection among elements in each semiconductor factory equipment model in the equipment modeling module is realized, and three-dimensional modeling of the semiconductor factory is completed. According to the method, the layout information and the connection element information are fused, and three-dimensional modeling of the semiconductor factory is efficiently and accurately achieved through the logic relation between the connection elements and a three-dimensional touch automatic verification algorithm.

The application discloses a vortex electromagnetic wave radar forward-looking imaging method and system based on a concentric circular array design, a storage medium and an electronic device, and specifically comprises the following steps: establishing a new system radar imaging model according to a radar working mode; designing a concentric circular array and a vortex mode transmitting function; deriving a return model; obtaining distance direction high-resolution information of a target; performing distance correction, phase decoupling and Bessel amplitude compensation on the azimuth direction of the return, and coherently superimposing the compensated return to reestablish a dual relationship between a mode and an azimuth angle; and finally, realizing vortex electromagnetic wave radar forward-looking two-dimensional imaging through fast Fourier transform on the azimuth direction. The forward-looking imaging can increase the observation time of a region of interest, keep the region of interest in a main lobe range, enhance the strength of a return, increase return information, and effectively improve the azimuth direction resolution.

The invention discloses a spaceborne radar sea surface target signal pulse accumulation and clutter suppression method, which comprises the following steps of: reconstructing an azimuth time variable by utilizing second-order keystone transformation to obtain an echo signal after distance correction, extracting an azimuth signal of the same distance unit from the echo signal after distance correction through a de-chirp function, and processing the azimuth signal to obtain a clutter suppression signal; therefore, de-chirping of the azimuth signal is realized; intra-frame coherent inter-frame non-coherent hybrid accumulation processing is carried out on an intra-frame signal of a decomposed frequency domain to obtain an echo signal containing a target signal and clutter, and the problems of span distance and Doppler unit in long-time accumulation of a moving target are optimized; the method comprises the following steps: performing inverse Fourier transform on an echo signal containing a target signal and clutter to obtain a singular value matrix after clutter suppression, and performing slow time Fourier transform on a reconstructed echo matrix to obtain an accumulation result after clutter suppression. The problem that the moving target detection performance of an existing spaceborne radar is insufficient under the influence of clutters existing in echo signals is solved.

The present application relates to a kind of adaptive cruise control methods, comprising: the speed of at least two front vehicles in the same lane with vehicle and the speed of vehicle are collected acquisition step;Two front vehicles speed keeps stable state time is calculated, and whether two front vehicles speed keeps stable state time is greater than or equal to the judgment step of first set time, wherein, speed keeps stable state refers to speed is substantially maintained at a certain speed, speed deviation value is less than first threshold value;And in the case where two front vehicles speed keeps stable state time is greater than or equal to first set time, the distance of adaptive cruise system preset to vehicle is corrected at certain time interval, and it is corrected as correction distance, so that the distance between vehicle and adjacent front vehicle can be controlled as correction distance correction step.The present application also relates to a kind of adaptive cruise control system.

The application discloses a laser radar calibration method, by rotating the reflecting plate forward and backward, the reflecting plate is switched between two positions of laser vertical and inclined incidence on the reflecting surface, and then the reflected signal strength of the laser reflected on the reflecting surface is continuously changed, the fitting calculation of the reflected signal strength received by the photoelectric detector is carried out, and the condition formula X=peak+scalea_peak and Y=real distance-TOF distance measurement value are met, the respective fitting degrees are calculated by searching the scale coefficient in the whole range, the maximum fitting degree is taken as the optimal solution, the correction coefficient of the global distance fitting of the TOF radar is calculated, the TOF distance measurement value is corrected according to the determined correction coefficient and fitting coefficient and the peak and a_peak combined with each distance measurement, and finally the TOF distance correction value is obtained, so that the calibration method of the whole laser radar can be simplified under the premise of the same reflecting plate, and the test cost is reduced.

The invention discloses a side slope quasi-static earthquake effect determination method considering a pulse effect and a direction effect, and belongs to the technical field of side slope stability evaluation. The method comprises the following steps: S1, obtaining an existing near-fault seismic oscillation record, and carrying out pulse recognition on the existing near-fault seismic oscillation record to obtain a pulse and non-pulse seismic oscillation database; s2, pre-processing seismic oscillation peak accelerations in the two seismic oscillation databases; s3, obtaining a fault distance correction coefficient fitting formula and a fault azimuth correction coefficient fitting formula according to the pre-processed seismic oscillation database; s4, obtaining a fault distance correction coefficient and a fault orientation correction coefficient of the target slope according to the two fitting formulas; and S5, according to the fault distance correction coefficient and the fault orientation correction coefficient, determining the seismic action of the target slope in combination with a pseudo-static method. According to the method, the pulse effect and the direction effect can be considered at the same time, and a more accurate slope quasi-static earthquake action result is obtained.

The embodiment of the invention discloses a trailer hook identification and distance correction method and device based on a reversing radar. The method comprises the steps that a radar detection instruction is generated based on the driving state of a target vehicle, multiple sets of radar detection data are periodically obtained according to the radar detection instruction, the state of the tow hook of the target vehicle is determined based on the first radar detection data and the second radar detection data, and when it is determined that the tow hook is installed, the tow hook is installed. And determining a target tow hook length corresponding to each group of radar detection data based on Kalman filtering, and finally correcting the real-time reversing radar detection distance according to the target tow hook length. By automatically determining the recognition and length detection of the tow hook, the subsequent backing distance is corrected, the requirement for feeding back the accurate distance between the tow hook and the obstacle in real time is met, potential safety hazards are eliminated, and the use satisfaction degree of a user is improved.

The invention discloses a wireless distance correction method, a wireless positioning correction method, a wireless positioning system and a storage medium. The wireless distance correction method comprises the following steps: acquiring a calculated distance with other wireless gateways and a calculated distance with a beacon anchor point through wireless distance measurement; the actual distance between the wireless gateway and other wireless gateways is obtained; the calculated distance of the beacon anchor point is corrected based on the calculated distance and the actual distance with the other wireless gateways. According to the invention, the error characteristic measured from the'gateway-gateway 'link can be used for correcting the measurement result of the'gateway-beacon anchor' link. Due to the fact that the actual distance between the gateways is known, the error characteristic of wireless distance measurement on the link between the gateways in the current environment can be accurately calculated, the measurement result of the'gateway-beacon anchor 'link is corrected, and the wireless distance calculation error caused by environmental factors is reduced.

The invention provides a probe deflection correction method and device for a trunk liquid flow heat pulse probe. The method comprises the following steps: determining xylem volume heat capacity through tree water content and dry material density obtained through real-time measurement; under the condition that it is judged that the liquid flow speed is within the preset speed interval, in the time range from the heat pulse closing moment to the first preset moment, nonlinear fitting is conducted on the change rule of the temperature difference of the upstream probe along with time and the change rule of the temperature difference of the downstream probe along with time, and the heat conductivity is obtained; dividing the thermal conductivity by the xylem volume thermal capacity to obtain a thermal diffusion coefficient; on the basis of a heat convection conduction equation, calculating according to the heat conductivity and the heat diffusion coefficient to obtain an upstream probe actual distance and a downstream probe actual distance; compared with an interval correction method based on a single probe benchmark in the prior art which is unstable in different deflection scenes, solution of the actual interval of the probes is not affected by the deflection scenes, stability of correction is guaranteed, and accuracy is high.

This application discloses a directional high-frequency guided wave automatic control method and system for steel structure weld inspection, relating to the field of steel structure weld inspection technology. This method controls the inspection device to move along a travel track, and combines an infrared rangefinder and distance correction algorithm to ensure the inspection device moves along a predetermined route on the test piece without deviating from the route, thus guaranteeing the accuracy of the inspection signal. Simultaneously, an encoder is used for assisted positioning, recording the correspondence between probe displacement and signal in real time, providing parameters for subsequent data processing. The method also employs a bidirectional ultrasonic guided wave probe to simultaneously inspect welds on both sides, improving inspection efficiency. Furthermore, it can display the waveform detected by the probe in real time, facilitating rapid determination of the defect location. Finally, an intelligent recognition network is used to quickly identify whether the steel structure contains defects, the type of defect, and the location of the defect within the steel structure.

To improve machining accuracy in a cutting machine in which a machining tool is moved linearly relative to a workpiece in the directions of the X-axis, Y-axis, and Z-axis, and rotated relative to the workpiece around the A-axis.SOLUTION: The coordinate correction method for a cutting machine includes: a first contact process in which a spindle 30 is moved in the X-axis direction to bring a detection tool 31 held by the spindle 30 into contact with a pin 32 held by a clamp 50 and obtain a first contact position; a first movement process in which the clamp 50 is moved a first distance in the Y-axis direction; a second contact process in which, after the first movement process, the spindle 30 is moved in the X-axis direction to bring the detection tool 31 into contact with the pin 32 and obtain a second contact position; and a correction process in which, based on the first contact position, the second contact position, and the first distance, the position coordinates are corrected so that the Y-axis is perpendicular to the A-axis when viewed from the Z-axis.SELECTED DRAWING: Figure 10

The invention discloses a near infrared spectrum light distance correction method for a box, and the method comprises the steps: S1, carrying out the fitting of a collected near infrared spectrum signal, introducing a penalty factor to obtain the optimal distortion degree and roughness, and obtaining an optimal fitting signal based on the optimal distortion degree and roughness; s2, performing linear regression through nonlinear transformation of a generalized logistic function to predict different weight values, and distributing weights for the acquired near infrared spectrum data so as to obtain an optimal fitting baseline; s3, performing variable screening on the corrected near infrared spectrum data by using a BOSS algorithm to determine an optimal subset of variables; and S4, utilizing a particle swarm algorithm to optimize penalty parameters and kernel function parameters of support vector regression, and establishing a prediction model.

The invention relates to the field of unmanned aerial vehicles, in particular to a braking distance prediction method and device, an unmanned aerial vehicle and a medium, and the method comprises the steps: determining a physical model prediction distance according to the weight of the unmanned aerial vehicle and the braking and starting speeds through a braking dynamic model; inputting the parameters of the unmanned aerial vehicle into the neural network model for prediction to obtain a distance correction coefficient; and correcting the predicted distance of the physical model by using the distance correction coefficient to obtain a brake distance predicted value. The physical model is coupled with the neural network, parameter errors of the physical model are dynamically corrected through the neural network, and reliable guarantee is provided for safe landing and accurate obstacle avoidance of the unmanned aerial vehicle.

A method for automatic stop comprises: acquiring a target distance correction value, wherein the target distance correction value is determined according to a historical parking error value before a target moment, and the target moment is the time when the target distance correction value is stored; correcting an acquired target distance value according to the target distance correction value, so as to obtain a corrected target distance value, wherein the target distance value is the value of the distance between the current position of a vehicle and a target parking position; and according to the corrected target distance value, executing the present instance of automatic parking. An automatic parking apparatus may be used to carry out such a method.

The application provides a laser ranging correction system and method in a dust environment in a limited space, and relates to the field of optical measurement technology. A laser power attenuation model and a wavelength change relationship in a dust environment are obtained based on Mie scattering and a multi-particle single scattering model; a power attenuation coefficient is obtained based on the power attenuation model and Lambert-Beer law to estimate an effective ranging range of the instrument; and a distance correction model in the dust environment is established based on the wavelength change relationship and Maxwell electromagnetic theory. When applied, dust is collected in the limited space and a particle size distribution spectrum is obtained; a concentration measuring instrument is arranged in the limited space to collect dust mass concentration in real time; dust mass concentration on a ranging light path is obtained by interpolating the dust concentration at arrangement points; the particle size distribution and the light path dust mass concentration are substituted into the attenuation model and the distance correction model to obtain a correction value to correct the measured distance, and finally the ranging accuracy of the laser range finder in a dust environment in a limited space such as a mine working face and a construction site is improved.

The invention provides a multi-target radar networking optimization station distribution method, device and equipment and a medium, and the method comprises the steps: determining a radar theoretical detection range according to radar pre-selected point data, radar resource data, detection height layer data and radar cross section data; performing atmospheric refraction correction on the radar theoretical detection range of each radar model corresponding to each radar preselected point location through the detection height layer data to obtain a radar correction detection range; performing detection distance correction on the radar correction detection range through the terrain shielding data and the detection height layer data corresponding to each radar pre-selected point location to obtain a radar target detection range; constructing a multi-objective function according to a radar target detection range, a detection task area and a target flight route; and optimizing the multi-objective function by adopting a preset optimization strategy to obtain a radar networking optimized station distribution result. Therefore, the networking station distribution efficiency is effectively improved.

The objective of the present invention is to provide an image processing device capable of accurately calculating the distance to an object serving as a light source, from an image captured by a stereo camera using a normal exposure amount. To this end, an image processing device 100 comprises a stereo camera 10 that captures a first image P1, a normal shutter image processing unit 102 that detects first object information from the first image P1, an object information acquiring device 10 that acquires second object information, a distance correcting unit 109 that corrects a first distance included in the first object information, and a distance correction value calculating unit 108 that calculates a correction value for the first distance, wherein: the distance correction value calculating unit 108 learns a correlation between the amount of flare light of the object in the first image P1 and the difference between the first distance and a second distance included in the second object information, and calculates the correction value on the basis of the correlation and the amount of flare light; and the distance correcting unit 109 corrects the first distance by subtracting the correction value from the first distance.

The application relates to the technical field of vehicles and discloses a warning method and system before starting a vehicle, an electronic device, a storage medium and a vehicle, which comprise setting a corresponding relationship of a sound speed reference value and an environmental temperature and a distance correction factor; in response to the acquired environmental temperature, the sound speed under the current environmental temperature is calculated based on a relationship model between the sound speed and the environmental temperature, and the distance correction factor corresponding to the sound speed is calculated; the process of emitting an ultrasonic wave to a hypothetical target and returning is simulated, and the ultrasonic wave round trip time is recorded; the original detection distance is calculated based on the sound speed under the current environmental temperature and the ultrasonic wave round trip time, the original detection distance is corrected according to the distance correction factor, and the corrected original detection distance is compared with a dynamic threshold value to determine whether to give a warning. The application can improve detection precision and reliability by comprehensively judging multiple factors, can flexibly cope with detection requirements in different scenes, and can improve warning accuracy.

This invention relates to a method for adjusting the parallelism of tracks on a large-span, follow-up dome-shaped double-leaf door, and pertains to the field of telescope installation technology. The method includes the following steps: installing a steel truss on a foundation ring beam; installing the bottom track on the foundation ring beam and adjusting the installation position of the bottom track to center the foundation ring beam; installing the top track on the steel truss and adjusting the relative position of the top track to the foundation ring beam; re-measuring the interval between the bottom and top tracks until the parallelism of their spatial relationship is adjusted. This invention's method for adjusting the parallelism of tracks on a large-span, follow-up dome-shaped double-leaf door employs an indirect measurement method based on the foundation ring beam, overcoming the problems of direct measurement methods with large intervals and complex spatial relationships between the bottom and top tracks. Through distance correction, track parallelism adjustment is achieved, and the adjustment accuracy meets the track parallelism requirements. The measurement process is simple and easy to implement.