94 results about "Data calibration" patented technology

This invention relates to the field of data analysis technology, specifically to a cloud-based tumor detection data analysis and sharing system. The invention includes a cloud service platform and multiple local terminals. The local terminals communicate with the cloud service platform via a network and are deployed in various medical institutions. They digitize tumor detection samples to generate raw medical data and extract metadata. The cloud service platform includes a data receiving module for receiving raw data and metadata; a template management module for building and maintaining a feature template library, including a two-stream ensemble classifier; a data calibration module for calling standardized parameter sets from metadata and generating standardized data through a reversible neural network; a data analysis module for analyzing the standardized data; and a data sharing module for responding to requests to share data. The system solves the problem of heterogeneity in multi-center data, improves the model's generalization ability and robustness, and achieves efficient data sharing and accurate analysis.

This application provides a method for establishing cross-magnification CD measurement value correction during OPC modeling, comprising: obtaining the actual CD measurement value of CD-SEM at a first magnification; inputting the actual CD measurement value into a trained cross-magnification measurement value conversion model to obtain the equivalent CD measurement value at a second magnification; wherein, the cross-magnification measurement value conversion model is constructed based on a mapping function between the equivalent CD measurement value and the area ratio of the area of ​​the graphic to be measured to the field of view area of ​​the CD-SEM at the corresponding first magnification, the magnification ratio of the second magnification to the first magnification, and the actual CD measurement value. The technical solution of this application addresses the problem that existing technologies lack effective cross-magnification measurement data calibration schemes, resulting in the ineffective utilization of a large amount of low-magnification measurement data, and the difficulty in including large-size graphics in the modeling scope due to measurement limitations.

This invention discloses a graphic calibration system and method for CNC mold machining. The system includes: a data acquisition module configured to receive CNC machining tasks and acquire graphic data and measurement data of the mold to be machined based on the machining tasks; a data calibration module configured to perform geometric feature calibration on the graphic data based on preset calibration data, generate calibrated calibrated graphic data, and spatially register the measurement data and calibrated graphic data to obtain deviation data; a data processing module configured to map the deviation data to a machining parameter library in the machining task, calculate the correction values ​​of each machining parameter to obtain calibration parameters; and a data feedback module configured to feed back the calibrated graphic data and / or calibration parameters to the system, and perform the remaining graphic data input and machining parameter input for the machining task. This invention significantly improves mold machining accuracy and production efficiency, providing a high-confidence graphic input benchmark for CNC mold machining.

This invention relates to a method for diagnosing and locating inter-turn short-circuit faults in air-core reactors based on a magnetic field sensor array, belonging to the field of power equipment testing. The method includes the following steps: Step 1: Arranging a magnetic field sensor array at an axial position on the outer side of the air-core reactor to acquire magnetic field distribution data near the reactor; Step 2: Calculating the magnetic field distribution data at the location of the magnetic field sensor array under normal operating conditions and inter-turn short-circuit fault conditions at different locations, and constructing a complete fault feature database; Step 3: Setting an inter-turn short-circuit fault at a determined location on the air-core reactor, and calibrating the data based on the measured data and the data in the fault feature database; Step 4: Calculating the measured data of the air-core reactor using a fault diagnosis algorithm to determine whether a fault has occurred in the reactor and accurately locate the fault location. This invention can diagnose inter-turn short-circuit faults and accurately locate the fault point, improving the safety and reliability of power equipment operation.

This invention discloses a method for earthquake landslide hazard zoning based on subtractive clustering ANFIS, belonging to the field of earthquake landslide hazard zoning technology. The method includes the following steps: collecting earthquake landslide monitoring data including seismic data, topographic data, meteorological and hydrological data, and image data; extracting features from the image data to obtain feature-extracted data; based on the earthquake landslide monitoring data, using a subtractive clustering algorithm to determine the initial cluster centers of the earthquake landslide area, thereby obtaining initial clustering information for the earthquake landslide; and combining the earthquake landslide hazard levels and their monitoring data within each geographic grid unit to draw an earthquake landslide hazard zoning map. The data acquisition technology, subtractive clustering algorithm application technology, ANFIS model construction technology, and data calibration technology in this method are closely integrated with modern information technology. The hazard calibration coefficient is used to calibrate the hazard index, improving the accuracy of earthquake landslide hazard assessment.

The present application relates to the technical field of image sensor calibration, and particularly relates to a processing method and system of a hybrid event and frame sensor, computer equipment and a medium; the method comprises the following steps: acquiring original data of the hybrid event and frame sensor; performing a noise calibration operation on an intensity frame to generate an active pixel sensor noise model and a net intensity signal; performing an event probability coupling operation on an event stream to generate an event visual sensor event probability model; and performing unified collaborative processing on the active pixel sensor noise model and the event visual sensor event probability model to output uniformly calibrated sensor data. In this way, a unified and reproducible cross-modal calibration framework can be provided to solve the technical problems of existing calibration technologies, such as weak physical coupling, insufficient calibration granularity and black box implementation, and to provide a unified, reproducible and high-precision sensor data calibration output for high-speed and high-dynamic-range mobile perception applications.

The present invention discloses a method, system, and device for mouse event interaction based on a general gyroscope, belonging to the technical field of mouse event interaction. The method includes the following steps: monitoring the output data of the gyroscope in a stationary state, and processing the output data of the gyroscope in a stationary state to obtain an evaluation value of the static offset degree of the gyroscope; collecting the output data of the gyroscope, and performing initial data calibration on the output data of the gyroscope according to the evaluation value of the static offset degree of the gyroscope; monitoring the working environment data and the working state data of the gyroscope, comprehensively analyzing the working environment data, the working state data, and the evaluation value of the static offset degree of the gyroscope to obtain an evaluation value of the dynamic offset degree of the gyroscope.

This invention provides a method for optimizing energy storage configuration in distribution networks based on renewable energy consumption, belonging to the field of energy storage optimization configuration. The method involves: a synchronization feature module for time-domain synchronization processing to generate feature vectors; a frequency mapping modeling module to construct an equivalent feature matrix including inter-axis cross terms; an admittance reconstruction module to inject this into the static topology to generate a real-state dynamic admittance model and solve for the impedance matrix; a sensitivity evaluation module to map and generate real-state voltage sensitivity and determine the impedance offset index; a configuration module to perform nonlinear hedging to generate configuration data; and a calibration module to perform recursive calibration. The system also generates source-grid attribution weights based on normalized cross-correlation coefficients, enabling accurate determination and differentiated correction of causes on the equipment side and grid side, and introduces a self-evolving evolutionary flow for closed-loop optimization. This invention effectively reduces asynchronous interference from heterogeneous data, improves the accuracy of risk attribution and control, and ensures the stability of the distribution network.

The application discloses a power transmission and transformation engineering geographic information basic data processing system based on multi-mode data fusion, comprising: a power grid multi-mode data acquisition module, a multi-source geographic data receiving module, an ICP registration calculation module, a quality perception fusion module, a topological graph modeling module and a geographic data processing module. The system obtains data such as buildings, terrains, bridges, power lines and towers through the power grid multi-mode data acquisition module, and obtains data such as unmanned aerial vehicle aerial images and laser radars through the multi-source geographic data receiving module; the ICP registration calculation module calibrates multi-source geographic data to improve coordinate consistency; the quality perception fusion module adjusts weight according to data reliability to improve fusion accuracy; the topological graph modeling module constructs device node correlation based on fused data to improve model comprehensiveness; and the geographic data processing module integrates data and topological parameters to generate comprehensive data sets. The system improves data integrity and provides reliable data support for power transmission and transformation engineering survey and design and later operation and maintenance.

This invention discloses a method for constructing a multi-target amplicon abundance standard for microorganisms and its application, belonging to the fields of molecular biology detection and microbiome analysis. This standard material screens sequences of common human gut microbiota strains, designs and adds universal primers, and obtains 14 DNA fragments of different lengths through gene synthesis, cloning, and purification, which are then mixed according to a preset abundance. It retains natural characteristics such as primer binding sites and GC content, and can systematically correct technical deviations in amplicon sequencing, solving the problem of species abundance distortion. This standard material functions as both a non-homologous internal reference and a homologous external reference, and can be used for laboratory proficiency testing, reagent kit performance evaluation, and cross-platform data calibration, promoting the leap from relative qualitative to absolute quantitative research in microbiome studies and providing metrological support for the standardization and precision of detection results.

This invention provides an AI-based distributed catalyst data collaborative modeling and privacy-preserving screening system, belonging to the field of data processing technology. It includes: an acquisition module for acquiring catalyst-related data from multiple distributed data sources, cleaning and standardizing the data to obtain a standardized dataset; a generation module for analyzing data distribution characteristics based on the standardized dataset, determining a core reference set, and generating two sets of reference dimensions to determine the feature analysis range based on the core reference set; selecting a validation sample set within and outside the feature analysis range, calculating the distribution density of the validation samples in the feature space, identifying high-density regions as key evolution nodes, constructing data association paths, and generating data calibration parameters. This invention achieves distributed catalyst data collaborative modeling while ensuring privacy protection, completing data screening, and improving the accuracy and efficiency of catalyst performance prediction.

The application discloses a fixed-wing flight device landing control method and device, the method comprises the following steps: collecting the geographical information of the runway to construct a data calibration difference table; obtaining the first height difference of the flight device relative to the take-off point determined by each height sensor according to the take-off data and the data calibration difference table; obtaining the second height difference of the flight device relative to the estimated landing point determined by each height sensor based on the height difference between the estimated landing point and the take-off point; selecting the second height difference of a single height sensor as a height source for landing control according to the landing field difference until the flight device lands. The application solves the problem that the existing landing technology is difficult to realize safe and accurate landing control under complex runway conditions, reduces the hardware cost, avoids environmental interference and measurement error caused by additional equipment, and is an economical, efficient and safe solution.

The present disclosure relates to a navigation data calibration method, device, readable storage medium and electronic device. The navigation data calibration method comprises: determining, according to data collected by a current device, visual navigation data and calibration data used for calibrating the visual navigation data; determining, according to prior pose information of the visual navigation data or according to historical data of the calibration data, whether the calibration data satisfies a preset calibratable condition; and calibrating the visual navigation data according to the calibration data in the case that the calibration data satisfies the calibratable condition. In this way, the accuracy of the calibration data is detected by using the prior pose information of the visual navigation data or according to the historical data of the calibration data, the accuracy of the calibration data detection is improved, the reliability and accuracy of the navigation data calibration are improved, and the robustness and accuracy of the device positioning are further improved.

The utility model relates to environmental protection monitoring technical field discloses a kind of collection calibration devices, including connecting frame, the output end of electric push rod is hinged to one end of connecting frame, and the other end of connecting frame is connected with positioning notch, the bottom end of positioning notch hinged movement rod, blanking cable is flexible cable, one end of blanking cable is connected with data acquisition head, for transmitting data, the other end of blanking cable is wound on the support roller of external equipment, for retraction, blanking cable is fixed through supporting cylinder. The utility model is contracted by electric push rod, to control the support of outer bracing plate loosening to the inner wall of pipeline, outer bracing plate contracts, the extension length of the device is controlled by the retraction of blanking cable, to detect each area of pipeline, subsequent data comparison calibration analysis can be carried out in real time, data calibration is more accurate, and more complex narrow environment area can also be adapted.

The utility model discloses a kind of pipeline fault simulation components and simulation systems for robot inspection, it is related to simulation system technical field, wherein, pipeline fault simulation components for robot inspection, including: simulation pipeline component, for fluid medium to flow in its inside;At least one execution component, distributedly installed in the simulation pipeline component, for changing the state of fluid in the simulation pipeline component;At least one detection component, distributedly installed in the simulation pipeline component, for obtaining the state parameter of fluid in the simulation pipeline component corresponding position;The detection component includes near field communication module and / or visualization module, for near field to obtain the detection result of the detection component corresponding position;The present pipeline fault simulation components and simulation systems for robot inspection can simulate corresponding fault working condition, and show detection result through detection component, to obtain detection data for line inspection robot, and carry out data calibration.

This invention discloses a dynamic carbon emission factor calculation method based on time-of-use pricing and a four-account responsibility system, belonging to the field of electricity carbon emission accounting technology. This method constructs a four-account responsibility system encompassing power generation, inter-provincial electricity sales, green electricity trading, and electricity consumption, defining the carbon responsibility boundaries for various electricity sources; establishes a carbon intensity prediction mechanism precisely matched to time-of-use pricing periods, and verifies the calculation results using multi-dimensional monitoring data; optimizes model parameters through monthly data calibration to reduce prediction bias; and outputs multi-dimensional visualized carbon signal products. This invention solves the problems of ambiguous responsibility and mismatched signal transmission of electricity carbon factors in traditional static accounting methods, realizing a shift from static averaging to dynamic accounting of electricity carbon emission factors, providing core methodological support for precise government governance, grid absorption of green electricity, cost reduction and efficiency improvement for enterprises, and public behavior guidance.

The application provides a highway abnormal event detection method and system fusing multi-modal data calibration, and belongs to the technical field of traffic detection, and comprises the following steps: collecting highway traffic data, determining time series data of a target highway section in a specified time period; performing dynamic programming, Kalman filtering and feature fusion on the time series data to determine a plurality of aligned timestamp prediction state vectors and fusion feature vectors; constructing a traffic heterogeneous graph of each time window and determining a node feature vector of each node of each traffic heterogeneous graph; determining an abnormal label of each node of the traffic heterogeneous graph of each time window to realize multi-classification detection of abnormal events of the target highway section. The method can solve the problems of data time sequence misalignment and noise interference, accurately capture the spatiotemporal dual correlation, realize accurate multi-class abnormality determination, form a closed loop through multi-link cooperation, improve data quality and feature representation capability, and provide more accurate and efficient decision support for traffic control.

The application provides a hydrological simulation method and system based on one-way driving of a nested model in the Yellow River Basin, and belongs to the technical field of hydrological simulation; the method comprises the following steps: taking a SHUD model as a core layer for simulating the hydrological cycle of the basin, taking a MIKE hydrodynamic model as a river channel hydrodynamic simulation layer, coupling the two models to construct a nested model, and performing one-way driving based on a spatial nesting technology; a two-way data interface is constructed, data exchange between the SHUD model and the MIKE hydrodynamic model is realized, a data assimilation algorithm is introduced, historical observation data are used to calibrate the parameters of the nested model, and key parameters are optimized; and then, the hydrological process of the basin is simulated based on the optimized nested model. The application can realize high-precision simulation of the hydrological process of the basin, and further provides scientific guidance for water resource management in the Yellow River Basin.

This invention discloses an atomic fluorescence spectrometer and an automated sample measurement system, belonging to the field of atomic fluorescence spectrometer technology. This invention effectively ensures stable instrument operation and efficient atomization reactions through a comprehensive self-checking mechanism combined with adaptive matching of different analyte types and detection modes. Simultaneously, through precise cup positioning, automatic sample sequence configuration, and orderly scheduling of the detection process, coupled with reference light baseline correction, multi-level blank measurement, and standard curve fitting to establish quantitative correlations, it fully covers the entire detection chain from automatic sample introduction, signal acquisition, signal optimization processing to concentration calculation and correction, effectively improving the accuracy and repeatability of sample measurement results. It achieves fully automated operation of the entire process—including power-on self-check, parameter matching, automatic measurement, data calibration, result calculation, and standardized report generation—without extensive manual intervention, adapting to the needs of multi-element, multi-wavelength simultaneous detection and improving the intelligence, standardization, and automation level of atomic fluorescence detection.

The present disclosure relates to a parking calibration method, device, medium and electronic equipment, the method comprising: acquiring measured parking accuracy data and system parking accuracy data of each train in a specified train group within a specified time period, the system parking accuracy data being used to represent the theoretical parking accuracy that will be generated by controlling the train according to the current parking control strategy, and calibrating the current parking control strategy of each train in the specified train group according to the measured parking accuracy data and the system parking accuracy data to obtain an updated target parking control strategy, which can effectively guarantee the parking accuracy of the train and is conducive to improving the service quality of the train.

The utility model provides a kind of atmospheric data calibration adapter, it is related to the technical field of avionics test equipment, the utility model includes an electrical male plug and an electrical female plug, the electrical male plug with the electrical female plug is electrically connected by wire, the electrical male plug is 78 needle D-sub type electrical plug, the electrical male plug is electrically connected with the data end of GDC74 series atmospheric data computer, the electrical female plug is electrically connected with the data end of calibration computer, for carrying out the data communication transmission between GDC74 series atmospheric data computer and calibration computer, compared with prior art, by setting electrical male plug and electrical female plug, physical connection is established between GDC74 series atmospheric data computer and calibration computer end, it is convenient to calibrate GDC74 series atmospheric data computer work.

The application relates to a logistics transportation system with an electronic fence and a data calibration method thereof, and relates to the technical field of intelligent workshop logistics transportation calibration. The intelligent workshop logistics transportation system comprises an intelligent fence management terminal, which is used for virtually dividing a visual attention fence area according to an actual conveying line and converting the visual attention fence area into actual attention fence coordinates; a dynamic visual acquisition terminal, which is used for positioning the conveying position of an article, triggering dynamic acquisition of the article in combination with the actual attention fence coordinates, and obtaining an article video stream; a monitoring and identification execution terminal, which is used for cleaning and identifying the article video stream, obtaining an abnormal article, generating an abnormal state code, and completing abnormal removal in combination with an external execution mechanism; and a digital twin optimization terminal, which is used for creating a digital production line according to the production line layout in combination with the visual attention fence area, and simulating and optimizing the fence layout. Through real-time tracking of the position of the article and calculation of the distribution center of the article, an offset correction value is generated, and calibration data is dynamically updated, so that self-calibration and self-adaptive optimization of the electronic fence are realized.

This application discloses a method and system for predicting ocean sound velocity fields, relating to the field of data processing technology. The method includes: quantitatively diagnosing key driving factors affecting the evolution of the ocean sound velocity field in a target sea area from marine environmental data, and constructing a causal network graph based on the information flow and structural equation model of the key driving factors to obtain a core feature set; decomposing the ocean sound velocity field sequence data in the core feature set into spatiotemporally coherent mode data through dynamic mode decomposition, and then mapping it into low-dimensional spatiotemporal features; using a KAN network to learn the evolution dynamics of the ocean sound velocity field based on the low-dimensional spatiotemporal features, and outputting the ocean sound velocity field prediction results for future times; using future-guided learning in the training phase of the KAN network, using real observation data at a future set time as auxiliary supervision signals; and using a dynamic feedback mechanism in the online prediction phase to calibrate the ocean sound velocity field prediction results based on real-time observation data. This application can improve the accuracy of ocean sound velocity prediction.

This invention discloses a method, apparatus, system, and storage medium for quantitative evaluation of corrosion thinning defects, comprising: acquiring experimental data from a rectangular array receiving multiple points under different excitations; preprocessing the experimental data to obtain preprocessed experimental data; performing frequency domain transformation on the preprocessed experimental data to obtain data distribution at a specific frequency; calculating a calibration factor and calibrating the data distribution at the specific frequency to obtain calibrated observation data; constructing a hybrid wavefield reconstruction inversion model by combining data fitting, wave equation constraints, regularization constraints, and boundary conditions; solving the hybrid wavefield reconstruction inversion model using the alternating direction multiplier method, combining the calibrated observation data and the hybrid wavefield reconstruction inversion model, to obtain the phase velocity distribution; performing phase velocity inversion and remaining thickness distribution analysis on the damage to the metal plate under test, thus verifying the quantitative evaluation method for corrosion thinning defects based on hybrid wavefield reconstruction inversion.

The application discloses a water level monitoring device and method for hydrological engineering geology, and belongs to the technical field of water conservancy projects. The device is composed of a floating device (containing a floating plate, an inflatable air bag, a propeller, etc.), a monitoring device (containing a placing box, a detection system, a roller, a traction rope, etc., the detection system containing an alarm lamp, a signal transmitter, a solar module, an AI module, etc.) and a fixing device (containing a ring-shaped circular groove, an extension mechanism, a fixing plate, a drainage hole, an electromagnet, etc.). The device is operated according to the steps of pre-deployment preparation, initial positioning and lowering, preliminary stabilization and attack segment drilling, depth adaptation and final fixation, installation state feedback and initial data calibration, real-time monitoring and abnormal treatment, device recovery and data export, realizes stable, accurate and intelligent monitoring of the water level, solves the problems of traditional devices, such as being easily disturbed by the environment, being unstable in fixation and being low in monitoring accuracy, and is suitable for various water area scenes.

This invention provides a method for testing the needle insertion range of external glaucoma drainage tube implantation based on UBM. The method includes acquiring sagittal images of the limbus and anterior chamber angle of the subject's eye using a UBM system during the examination; interpreting and measuring the images to obtain image measurement data for needle insertion range calibration; setting a puncture point to simulate the scleral puncture position during external glaucoma drainage tube implantation; defining safety angles A and B in the UBM sagittal images of the corresponding puncture point; retaining data for one eye for each subject; and calibrating the needle insertion range based on the image measurement data and statistical analysis of safety angles A and B; using μA+1SD_A as the lower limit angle for needle insertion calibration and μB-1SD_B as the upper limit angle; and taking the midpoint of the interval as the recommended starting angle for needle insertion. This method addresses the technical problem in existing technologies where there is a lack of image-based quantitative data calibration testing for the safe needle insertion angle range corresponding to different scleral puncture points.

The application provides a wharf rock-embedded pile critical pile length calculation method and system, relates to the critical pile length calculation technical field, through the deep integration and data calibration of numerical simulation and physical test, a high-fidelity comprehensive parameter database is constructed, and a continuous mapping relationship of the critical length-diameter ratio about the base rock strength and the inclination is established. First, numerical analysis is carried out under multiple working conditions, then physical model test is carried out under representative working conditions, the test data are used to construct a correction model to calibrate all simulation results, so that the accuracy of the end resistance ratio prediction is significantly improved. The application effectively solves the dual limitations that the pure numerical method lacks entity verification and the pure theoretical method is difficult to simulate the complex pile-rock contact behavior, through systematically diffusing the discrete test information into the comprehensive simulation data, the stress mechanism of the inclined rock-embedded pile is accurately described, and it is ensured that the mapping relationship established subsequently can truly reflect the physical law under the multi-factor coupling.