15results about How to "Improve absolute accuracy" patented technology

The invention discloses a multi-source data-based mining equipment positioning system and method. The system is characterized in that a plurality of ultra-wideband base stations are sequentially mounted in a crossheading roadway at intervals; the coding identifiers are mounted on supporting columns of the hydraulic supports in a one-to-one correspondence manner, and are positioned on one side close to the coal mining machine; the inertial sensing unit, the camera, the ultra wide band positioning module and the controller are all mounted on the body of the coal mining machine; the visual angle of the camera faces a supporting column of the hydraulic support. The ultra-wideband positioning module is positioned on one side, close to a crossheading roadway, of a coal mining machine body and is connected with the ultra-wideband base station; the controller is respectively connected with the inertial sensing unit, the camera and the ultra-wideband base station. The method comprises the following steps: carrying out initial position calibration by using the ultra-wideband positioning module; predicting the position of the coal mining machine based on inertial navigation; updating the prediction state of the inertial sensing unit based on the identification of the coding standard by the camera; and the positioning continuity is ensured by fusing the data of the inertial sensing unit and the camera. According to the system and the method, real-time and accurate positioning operation of the coal mining machine in the working process can be realized.

The invention relates to the field of machining, and discloses a robot milling path planning method and system considering the tool nose frequency response characteristic, a medium and equipment, and the method comprises the steps that a robot rigidity model is established, and the rigidity value of the tail end of a robot is calculated; constructing a main shaft system model, and solving to obtain a tool nose frequency response function; calculating the inherent frequency of the tool nose under different rigidity configurations based on a tool nose frequency response function, and calculating the rigidity weight coefficient of the tail end of the robot so as to construct a rigidity direction optimization index SDOI; and on the basis of the rigidity direction optimization index, a robot milling path planning model is constructed, and a milling path containing the optimal rigidity characteristic of the robot is obtained. According to the method, the tool nose frequency response change characteristic is taken as an entry point, the weight coefficient of the influence degree of the robot tail end rigidity on the tool nose inherent frequency is established, then the robot rigidity direction optimization index SDOI is constructed to serve as the basis for making the milling path, and the stability and the machining efficiency of the milling process are ensured.

The embodiment of the invention discloses a surface temperature inversion method and device based on remote sensing satellite data, and a medium, and relates to the technical field of remote sensing, and the method comprises the steps: receiving a heat island effect analysis demand triggered by a user, obtaining satellite remote sensing data of a target region and a corresponding metadata file based on the heat island effect analysis demand, and storing the satellite remote sensing data in the target region; processing the satellite remote sensing data to determine earth surface radiation parameters; the atmospheric features and the earth surface features of the target area are evaluated through the metadata file and a pre-obtained normalized vegetation index, a dynamic adjustment factor corresponding to the target area is determined, a preset single-window algorithm model is optimized through the dynamic adjustment factor, and an optimized single-window algorithm model is determined; and inputting the surface emissivity, the atmospheric transmittance, the brightness temperature value and a pre-acquired atmospheric average action temperature into an optimized single window algorithm model for calculation, and determining a surface temperature distribution diagram of the target area for heat island effect analysis.

The invention discloses a Raman scattering temperature measurement monitoring system based on a long-distance optical fiber, which relates to the technical field of optical fiber sensing temperature measurement, and comprises a step of injecting pulse laser to a sensing optical fiber through a laser transmitting module to excite backward Raman scattering light. The receiving and separating module separates the scattered light into a Stokes light signal and an anti-Stokes light signal. The processing and positioning module converts the signal strength into data distributed along the optical fiber position. And the temperature demodulation module establishes a calibration equation based on the strength ratio of the two, and calculates initial temperature data along the optical fiber according to the calibration equation. And the compensation and correction module constructs a correction model fusing the inherent attenuation and external disturbance characteristics of the optical fiber, compensates and corrects the initial data, and finally generates accurate temperature field data distributed along the optical fiber. According to the system, the spatial consistency, absolute precision and long-term environmental stability of long-distance distributed temperature measurement are improved through accurate calculation of a scattered light intensity ratio and systematic error modeling compensation.

This invention relates to the field of optical detection technology and discloses a method for measuring the three-dimensional topography of an object surface based on optical interferometry. The method includes: acquiring a mixed temporal-domain interferometric signal sequence during axial scanning; extracting seed pixels and constructing a spatial topological connectivity feature matrix; introducing a fractional Fourier transform to construct a joint decoupling objective function containing a frequency-domain nonlinear phase distortion evaluation index and a temporal-domain physical invariant evaluation index; performing multi-level optimization for the seed pixels to lock the globally optimal rotation angle; performing array adaptive decoupling in conjunction with the spatial topological connectivity feature matrix to generate the optimal rotation angle matrix; and performing signal decoupling and reconstruction on the mixed signal to extract the absolute surface height of each pixel to generate three-dimensional topography data. This invention solves the phase decoupling problem caused by thin-film interferometric aliasing through multi-dimensional joint decoupling and spatial prior constraints, improving measurement accuracy while reducing the computational overhead of large pixel arrays.

This invention relates to the field of collaborative positioning technology for aircraft swarms, specifically a collaborative relative positioning method and system for aircraft swarms. The method includes: optimizing the scheduling of ranging and communication resources within the swarm by dynamically assigning appropriate roles and establishing a hierarchical ranging topology; collecting raw ranging and exchange data based on role assignment results, and constructing a relative position constraint network after consistency correction; iteratively solving this network to obtain a globally consistent relative position estimate, and using this estimate to fuse and correct the local navigation state of each aircraft, generating a local navigation correction value. This method achieves tight coupling from collaborative solution to individual navigation, effectively improving positioning accuracy and consistency of the swarm's internal state, while enhancing system scalability and robustness through a dynamic hierarchical structure.

The embodiment of the invention provides a rotor position data acquisition method of a magnetic drive conveying system and related equipment, and the method comprises the steps: obtaining position collection data obtained through the simultaneous collection of a plurality of magnetic receiving devices for a rotor when the rotor operates at one side of a stator, and obtaining preset reference supplementary data and phase nonlinear supplementary data; performing feature extraction calculation based on each piece of position acquisition data to obtain a corresponding data feature value, determining a target receiving device, and obtaining initial position data of the rotor based on set position data of the target receiving device; target collection data and adjacent collection data are selected from the multiple pieces of position collection data; performing coordinate rotation iterative calculation based on the target acquisition data and the adjacent acquisition data to obtain a phase increment; and obtaining the target position data of the rotor based on the reference supplementary data, the phase nonlinear supplementary data, the phase increment and the initial position data, thereby effectively improving the accuracy and stability of the finally obtained rotor position data.

This invention discloses a bonding and positioning system for irregularly shaped products based on customized Mark points, comprising: a marking production unit for processing at least two identifiable Mark points on the surface of the irregularly shaped product to be bonded; a vision acquisition unit for acquiring image information data and spatial position data of the irregularly shaped product with identifiable Mark points; and a control unit, communicatively connected to the vision acquisition unit, calculating the pose deviation of the irregularly shaped product to be bonded based on the image information data and spatial position data, and generating compensation commands. This invention customizes and processes high-precision Mark points on the product body, providing a stable and dedicated recognition benchmark for the vision system, fundamentally overcoming the positioning difficulties caused by the irregular shape and weak contour features of irregularly shaped products.

The application belongs to the technical field of electronic components, and particularly relates to a tunable resistance module construction method, aiming to solve the problems of limited tunable resistance range and precision, environmental temperature interference and slow response. The method comprises the following steps: constructing a multi-range precision resistance topology network based on binary weighting and segmented distribution; establishing a resistance mapping function and a calibration database to quantify parasitic parameters and switch residual resistance; using a temperature sensing array to sample the thermal field distribution and establish a temperature drift dynamic model to calculate a pre-compensation amount to eliminate the influence of thermal drift; generating high-speed parallel instructions through a logic control processing unit to synchronously drive a low-loss electronic switch unit; and finally executing real-time monitoring and closed-loop fine adjustment of output performance. By adopting the above technical scheme, the application can achieve extremely high adjustment precision and linearity, has excellent temperature stability and extremely fast response capability, and effectively improves the AC impedance characteristic and reduces the system construction cost.

A low signal-to-noise ratio multi-rotor unmanned aerial vehicle radar signal classification method and system based on deep learning belong to the field of complex domain signal classification. The problem that current methods lack effective classification performance in low signal-to-noise ratio or complex environment is solved. The method comprises the following steps: arranging radar echo data into a two-channel one-dimensional time sequence signal, the first channel being real part data and the second channel being imaginary part data, forming an input tensor, inputting into a C-ELTSNet network, containing four residual shrinkage modules and four fully connected layers, each module performing: twice one-dimensional convolution operation, followed by batch normalization and LeakyReLU activation after convolution to obtain a feature map; noise filtering is performed through an MCAT module; the filtered features are added to the input features through residual connection, and are output to four fully connected layers for feature compression and class mapping, and the type of unmanned aerial vehicle is output according to the C-ELTSNet network. It is used in the field of unmanned aerial vehicle classification.

The invention discloses a metal rolling dynamic matching regulation and control method for automobile maintenance equipment production, and belongs to the technical field of rolling matching regulation and control. The initial deformation resistance analytical model and the current roller rotating speed of the upstream rack are fused, a dynamic forward slip coefficient in the rolling process is calculated, and a continuous second flow evolution track of the discharging end of the upstream rack is generated accordingly; the fluctuation characteristic quantity in the second flow evolution trajectory is extracted, and the micro-tension composite disturbance quantity between the upstream rack and the downstream rack is measured and calculated; the micro-tension composite disturbance quantity is converted into a rotating speed compensation instruction, and a dynamic matching adjustment matrix of the rotating speed difference of upstream and downstream racks is constructed; reconstructing a driving signal of the downstream rack according to the dynamic matching adjustment matrix, and generating a real-time driving current sequence of the downstream rack; and the real-time driving current sequence is injected into an execution motor of a downstream rack, a roller of the downstream rack is driven to operate according to the reconstructed rotating speed, and dynamic balance of the second flow between the racks is achieved.

This application relates to the field of vector geomagnetic field surveying, and more particularly to a method and system for measuring vector geomagnetic fields using an unmanned aerial vehicle (UAV). The system includes a tetrahedral rigid support structure made of non-magnetic material, with four GNSS antennas mounted at its vertices and three base points respectively, forming an RTK-GNSS multi-antenna system for acquiring low-frequency attitude data in a geocentric-ground-fixed coordinate system. A sensor unit integrates a vector magnetic sensor and an inertial measurement unit for acquiring three-axis geomagnetic field data and high-frequency angular velocity data. A GNSS receiver receives the multi-antenna observation data. A calibration system is used to construct a reference coordinate system during the ground calibration stage and determine the first rotation matrix between the magnetometer coordinate system and the reference coordinate system. An attitude and magnetic field data processing unit fuses low-frequency attitude and high-frequency angular velocity information, calculates the second rotation matrix between the REF reference coordinate system and the geocentric-ground-fixed coordinate system, and outputs three-axis geomagnetic field data in the geocentric-ground-fixed coordinate system through multi-level rotation matrix transformation.

Multi-angle reflection type PPG non-invasive cerebral venous sinus blood oxygen measurement method and device, wherein the blood oxygen measurement method comprises the following steps: S1, the wavelength incidence angle and the light source-probe interval predetermined optical probe is pasted on the occipital region of the measured person, in at least including the calibration period and the monitoring period multiple period, drive the multi-wavelength light source in the optical probe to emit detection light at different incidence angles, and the optical reflection signal of the shallow tissue and the deep blood flow is collected by multiple photodetectors simultaneously;S2, the optical reflection signal is interfered and inhibited, the optical reflection signal collected in the calibration period is matched and fitted with the pre-established tissue optical parameter model library, and the individualized skull parameter set of the occipital region of the measured person is estimated based on the optimization algorithm. The blood oxygen measurement method and device can continuously, real-timely and reliably reflect the monitoring of the cerebral venous sinus blood oxygen state under non-invasive conditions.

The application discloses a kind of land ecosystem carbon monitoring satellite laser auxiliary area network adjustment methods, comprising: stereoscopic image connection point generation: the multi-level pyramid of forward-looking, rear view 19° panchromatic image is constructed, and layer-by-layer matching inspection is carried out to obtain in-scene and inter-scene connection points;Free network adjustment: with the connection point as control, gradually tighten threshold to remove gross error, obtain free network adjustment RPC irrelevant to absolute height;Laser control point preparation;Laser-stereoscopic joint adjustment: laser control point and stereoscopic image connection point are jointly used as observation value, and forward intersection is carried out to obtain corrected intersection control point;Final RPC determination: image RPC is corrected again using corrected intersection control point, and final adjustment parameter is obtained after iterative convergence.The application realizes the joint refinement of free network and laser absolute height by "stereoscopic connection point hierarchical optimization, laser height replacement and distance reciprocal weighted coupling correction", which significantly improves the geometric accuracy and reliability of area network adjustment.

The invention relates to the technical field of large shafting centering measurement, and discloses a laser disturbance real-time deviation correction method and system. In order to solve the problem that the diameter measurement precision is influenced by drifting of a laser datum line caused by field heat flow and vibration, after the laser datum line is established, a dynamic drifting vector of a tail end light spot is extracted through a CMOS (Complementary Metal-Oxide-Semiconductor Transistor); the real-time axial position of each measuring point is obtained through femtosecond distance measurement, a proportionality coefficient is calculated based on the reference distance, and the local two-dimensional drift distance of each measuring point is linearly mapped; and projecting the drift vector to a diameter measurement direction to obtain an accurate compensation amount, and correcting an original diameter measurement value. According to the method, the limitation that measurement depends on absolute stability of a datum line is broken through, system errors caused by environmental disturbance are thoroughly eliminated through dynamic detection and a closed-loop compensation mechanism, and the centering measurement precision of multi-bearing-bush-section equipment is greatly improved.