23results about How to "Suppression error" patented technology

The invention discloses a blade aerodynamic robustness evaluation method based on a dual-fidelity collaborative neural network, and relates to the technical field of turbomachinery blade aerodynamic analysis. Acquiring a plurality of groups of uncertainty parameters influencing the aerodynamic characteristics of the blade; inputting the uncertainty parameters into the dual-fidelity collaborative neural network model, extracting feature vectors of the uncertainty parameters through a basic trend prediction module, and predicting low-fidelity aerodynamic performance; weighting the feature vector through a cross-fidelity attention fusion module, fusing the uncertainty parameter and the weighted feature vector, and inputting the fused vector into a residual error correction module to obtain a residual error prediction value; adding the residual prediction value and the prediction value of the low-fidelity aerodynamic performance to obtain a prediction value of the high-fidelity aerodynamic performance; and determining the robustness index of the blade according to the high-fidelity aerodynamic performance predicted values corresponding to the multiple groups of uncertainty parameters. According to the method, the calculation efficiency is ensured while the aerodynamic performance precision of the blade is improved.

The technical scheme belongs to the field of cutting and slitting machines, and particularly relates to a cutting device of a cutting and winding machine, which comprises a rack, the rack is provided with a cutting mechanism, the cutting mechanism comprises a first knife roll and a second knife roll which are rotatably arranged relative to the rack, the two knife rolls are tangent and matched, and a paper material passes between the first knife roll and the second knife roll; the strip cutting driving part is used for driving the first knife roll to rotate so as to be matched with the second knife roll to cut the paper material into a plurality of material strips; the pressing adjusting assembly comprises an adjusting rod in threaded fit with the first knife roll, the adjusting rod rotates to drive the first knife roll to move relative to the second knife roll, the slitting driving part drives the first knife roll to rotate, and the paper material is continuously cut into material strips when passing through a channel formed by tangency of the first knife roll and the second knife roll; an adjusting rod of the pressing adjusting assembly accurately controls axial displacement of a first knife roll through thread transmission, stepless adjustment of a paper material channel is achieved, the cutting precision is kept, and the adaptability of paper materials of different thicknesses and the equipment maintenance efficiency are improved.

This invention provides a wireless ranging and clock synchronization method for aviation search and rescue scenarios, relating to the fields of spread spectrum communication and wireless ranging technology. The method includes: determining the relative motion state; performing unilateral bidirectional ranging between two nodes; obtaining clock offset and clock frequency offset estimates using the least squares method; and processing these estimates according to different motion states. When the master node and slave node are in a high-speed radial motion state, the slave node sends a spread spectrum signal to the master node to obtain pseudorange and carrier phase observations. Based on the clock offset estimate, compensation calculations are performed on the pseudorange observations; and based on the clock frequency offset estimate, compensation calculations are performed on the carrier distance increment. Based on the compensated pseudorange observations and the compensated carrier distance increment, carrier smoothing pseudorange recursion is performed to obtain the ranging result. Through this method, the cumulative errors of clock offset and clock frequency offset are suppressed within a unified smoothing framework, effectively improving ranging accuracy under high-speed motion conditions.

The invention discloses an identification method and related equipment for rapidly identifying a multi-modulus seed magnetic island, and relates to the field of magnetic confinement fusion plasma diagnosis. Wherein at least one group is used for switching observed circumferential positions in different time sequence segments through a waveguide switch in the quasi-optical transmission module. The method comprises the following steps: synchronously acquiring electronic temperature signals of two groups of microwave measurement subsystems at the same radial channel in a time sequence segment corresponding to different annular phase differences, carrying out time averaging on the electronic temperature signals, and judging and identifying a seed magnetic island corresponding to an annular modulus based on the same radial temperature difference and normalization, and further extracting a flat region based on the distribution of the electron temperature along with the radial channel to determine the width and the boundary position of the magnetic island. According to the invention, the rapid distinguishing and high-precision positioning of a plurality of annular modulus seed magnetic islands can be realized without adding extra detection channels.

The application discloses a kind of cable curvature risk assessment method, device, equipment and medium, belong to the risk assessment field of cable curvature.The method is: obtaining the visible image of the cable to be measured and extracting two-dimensional contour data;The cable to be measured is scanned non-contact, and three-dimensional point cloud data is obtained;Two-dimensional contour data is mapped to the three-dimensional coordinate system in which three-dimensional point cloud data is located, to obtain the three-dimensional point set after fusion, and least square method is used to fit spline curve;Finally, the risk assessment of the spline curve is carried out, and the risk assessment result of the cable to be measured is obtained.Therefore, by implementing the present application, the problem of low accuracy of cable curvature risk assessment in the prior art can be solved.

The invention relates to a real-time vibration compensation device and method for a cold atom gravimeter. The device comprises a Raman laser, a rubidium atomic group, a reflector, an accelerometer, an optical phase-locked loop module, an analog-to-digital converter, a reference clock source, a heteronuclear FPGA, a direct frequency generation module and an upper computer. Two pairs of Raman lasers oppositely act on a rubidium atomic group in the vertical direction, the accelerometer and the reflector are in rigid connection, analog differential signals of the accelerometer enter the analog-digital converter, converted digital signals enter the heteronuclear FPGA for digital calculation, and the reference clock source serves as clock signals of the digital circuit. A signal calculated by the heteronuclear FPGA enters the direct frequency generation module and is output to the optical phase-locked loop to control the phase of the Raman laser, and the heteronuclear FPGA communicates with the upper computer through TCP connection. The vibration real-time compensation device for the cold atom gravimeter is fully digital, and has the advantages of large dynamic range, low noise and high-precision phase synchronization compensation capability.

【Problem】 To suppress an error generated in movement or the like when a ship is at anchor. 【Solution】 A ship navigation support device has a measurement section and a feature information updating section. The measurement section obtains measurement information for an object using a ranging result for a region including the object as an anchoring target of the ship. The feature information updating section updates feature information for the object using initial feature information for the object or feature information for the object before update and the measurement information.

The invention discloses a large-aperture diffraction structure direct writing online calibration and error suppression system, which relates to the technical field of diffraction structure direct writing and comprises an error detection module, a compensation generation module, a dynamic execution module and a closed loop feedback module. The error detection module is provided with a workpiece carrying table and a wavefront sensor, obtains a residual light field, separates a tilt term, an out-of-focus term, an astigmatism term and a coma term caused by mechanical vibration of the carrying table through Zernike polynomial decomposition, and generates an error source feature vector. The compensation generation module generates geometric correction and an aberration compensation matrix through a reverse optical path tracing algorithm; the dynamic execution module feeds the correction amount and the compensation matrix back to the carrying table and the transmission-type spatial light modulator respectively, and pre-modulation and wavefront pre-shaping are completed; and the closed-loop feedback module scans the morphology through the confocal detection array and compares the morphology to generate an error distribution diagram for closed-loop input. According to the system, accurate error traceability and two-way synchronous pre-compensation are realized, and direct writing errors are effectively inhibited.

The invention relates to the technical field of geological mineral exploration and big data analysis and processing, in particular to a geological mineral exploration data processing method based on big data acquisition. The method comprises the following steps: synchronously and structurally extracting exploration decision and cognitive hypothesis information during multi-source data acquisition, converting the exploration decision and cognitive hypothesis information into stage behavior semantic vectors, and embedding the stage behavior semantic vectors into data units to form a stage semantic constraint data set with cognitive background perception ability; a credible interval is dynamically generated by calculating stage cognitive consistency indexes, abnormal data weights are softened, and an enhanced stage credible data set is constructed; on the basis, an exploration stage cognitive evolution mechanism is introduced, and an association network between data is dynamically reconstructed, so that an association structure can be adaptively adjusted along with exploration cognition deepening; and finally, a standardized target expression unit capable of directly supporting prospecting deployment and resource configuration is generated by identifying a stable data structure and self-adaptive granularity expression. According to the method, natural conversion from the original data to the decision support information is realized.

This invention discloses a scalable distributed multi-chamber open-path photosynthetic measurement system and method, relating to the field of plant physiological and ecological measurement technology. The system includes a main unit and at least two distributed chambers. The main unit centrally manages gas supply, concentration mixing, flow control, and high-precision concentration differential analysis. Each chamber is an independent unit, equipped with an adjustable LED light source, thermoelectric temperature control module, multiple types of sensors, independent power supply, and wireless communication module. An open path is formed through the gas supply pipeline and the return pipeline. The core of the method lies in the main unit polling and sampling the return gas from each chamber according to a preset program through a multi-channel automatic switching valve group. Combined with a "flushing stabilization" strategy, a single gas analysis unit is used to achieve high-precision, high-throughput parallel measurement of multiple chambers. This invention solves the problems of low throughput and high cost of traditional open-path instruments, achieving a balance between high precision and high throughput, and supports in-situ deployment in the field and remote monitoring.

The present application relates to a kind of navigation satellite orbit determination precision promotion method based on pseudo-range deviation correction, belong to satellite navigation field, the method is combined with global distribution ground station dual-frequency pseudo-range observation value and external precise orbit clock difference product constructs ionosphere-free combination observation equation, through precise point positioning calculation receiver coordinate and constructs posteriori pseudo-range residual equation;According to the grouping of receiver model and the application of zero-sum constraint, align receiver clock difference, through multi-epoch joint network least square batch processing each type receiver is solved to each navigation satellite dual-frequency ionosphere-free combination pseudo-range deviation value;According to the receiver model of ground station, select the pseudo-range deviation value of corresponding type, deduct from dual-frequency ionosphere-free combination pseudo-range observation, obtain the pseudo-range observation of correction;Using the pseudo-range observation of correction and carrier phase observation, joint solution navigation satellite precise orbit parameter.The present application has significantly improved the navigation satellite orbit determination precision and spatial reference consistency level.

The invention discloses a demodulation device based on an optical interference principle and a static and dynamic sensor, and relates to the technical field of sensors, a light source signal modulation unit generates a modulation light signal, the modulation light signal is introduced into an interference cavity of a sensor body through an optical fiber circulator, and reflected light subjected to interference is led out; the photoelectric detector receives reflected light after interference and converts the reflected light into an electric signal; the signal processing unit processes the electric signal to obtain a measurement parameter; the measuring range from 100mm to m can be measured, high-speed acquisition and demodulation can be realized, and large-range and high-precision measurement of the sensor can be realized; based on a sensor formed by a vibration sensing structure, synchronous high-precision measurement of two parameters of statics and vibration is realized by utilizing a cavity length mean value and a fluctuation value of an optical interference cavity, the function of measuring the two parameters by one sensor is realized, the cost of an acquisition system is greatly reduced, meanwhile, manual inspection and maintenance can be greatly reduced, and the working efficiency is improved. And good economic benefits are achieved.

This invention relates to the field of computer vision and image processing technology, and discloses a method, apparatus, device, and storage medium for calculating camera aiming points. The method improves the calculation accuracy and robustness of the camera's main optical axis aiming points by introducing a distance-based inverse weighted fusion mechanism, and can adaptively suppress errors caused by lens distortion. Specifically, the method dynamically adjusts the weight of each marker aiming point in the fusion result by calculating the distance from the geometric center coordinates of the marker to the center coordinates of the image, so that the marker aiming points closer to the main optical axis contribute more to the final result. Through weight adjustment, even in extreme cases where the camera is shooting at close range with a skewed viewing angle or where some markers obscure the image and cause severe distortion, it can still output smooth and near-true aiming point coordinates, effectively avoiding severe aiming point jitter caused by individual marker recognition jumps, and eliminating the need for complex lens intrinsic parameter calibration and distortion correction calculations, thus simplifying the system deployment process.

This invention belongs to the field of lightning positioning technology and provides a method for mobile platform trajectory calibration and lightning positioning network accuracy evaluation based on multi-lightning data inversion. The method includes: lightning data recording, data filtering, optimization model construction, model solving, mobile platform positioning accuracy evaluation, independent accuracy estimation, weighted averaging, and long-term observation data evaluation. By introducing nonlinear least squares optimization and solution algorithms, and using multiple lightning data for joint calculation, this invention effectively suppresses single-measurement errors and noise, and can more comprehensively and objectively reflect the average performance of the lightning positioning network within a certain area and time. By solving for unknowns such as movement speed and direction, it better reflects practical application scenarios. Furthermore, by optimizing lightning data using DOP values, the stability of the algorithm under various complex conditions is improved.

The application discloses a kind of vehicle-mounted LED flash transient large current driving method and system, it is related to data processing technical field.In the method, first, the radial distance of tail millimeter wave radar, speed and the lane line of camera and pixel coordinates are obtained, and synchronous measurement sequence is obtained by pre-processing and time stamp synchronization;Second, state vector is constructed and state updating is carried out in combination with noise, and longitudinal acceleration and lateral offset are extracted based on fusion state vector;Then, according to this, calculate the reciprocal of collision time and the lateral intrusion boundary distance, and the collision risk index is obtained by fusion;When risk is over threshold value, determine dangerous level mark in combination with trajectory deviation accumulation amount;Finally, according to this, calculate target stroboscopic cycle and duty cycle, generate driving pulse sequence to control LED flash flicker.The technical scheme provided in the application can improve the accuracy of vehicle-mounted LED flash warning.

This invention relates to the field of sensor technology, and discloses a capacitive touch detection circuit and method. The capacitive touch detection circuit includes a charge compensation module, a voltage-to-current conversion module, an integrating capacitor, a quantization circuit module, and a counter. The charge compensation module is used to compensate for the charging and discharging of an external touch capacitor, adjusting the charge on the touch capacitor to a predetermined charge range corresponding to a reference voltage. The voltage-to-current conversion module is used to convert the remaining charge on the touch capacitor after compensation by the charge compensation module into current and output it. The integrating capacitor is used to integrate the current to obtain an integrated voltage. The quantization circuit module is used to quantize the integrated voltage and control the integrated voltage to be stable within a preset voltage range of the reference voltage. The counter is used to count the output of the quantization circuit module to obtain a digital code representing the touch capacitance value. This invention can achieve touch detection performance with high linearity, low power consumption, small area, and high noise immunity.

The invention discloses a wide-area time transfer method based on adaptive random noise constraint, and the method comprises the steps: obtaining the historical observation data of a receiver, and carrying out the calculation based on a precise single-point positioning model, and obtaining a receiver clock error sequence; performing variance analysis on the receiver clock error sequence, identifying dominant noise types under different smoothing times, and determining a time interval of segmented modeling; selecting a corresponding variance estimator or constructing a mixed variance model according to the dominant noise type, and calculating an adaptive random noise constraint value; and introducing the adaptive random noise constraint value into a process noise matrix of the precise point positioning model, and carrying out dynamic constraint estimation on a receiver clock error to realize time transfer. The method provided by the embodiment of the invention can overcome systematic deviation introduced by a traditional fixed constraint strategy, adapts to physical property differences of different atomic clocks, and remarkably improves receiver clock error estimation precision and frequency stability of wide-area time transfer.

This invention discloses a composite disturbance rejection control method and system for permanent magnet synchronous motors (PMSMs) based on recurrent neural network disturbance estimation and prediction. It constructs a dynamic model of the PMSM considering parameter uncertainties, slowly varying load disturbances, and impulsive load disturbances. A recurrent neural network with a self-feedback structure for historical disturbance estimation is designed. This network learns the dynamic characteristics of disturbances online through a recursive structure and estimates the current disturbance in real time. Simultaneously, it predicts the disturbance at the next moment while keeping the network weights constant, thus compensating for the computation and execution delays of the control system. A fixed-time non-smooth robust controller is designed, using the residual error after prediction compensation as input to rapidly suppress sudden impact disturbances. The predicted disturbance is introduced into the controller as feedforward compensation, constructing a predictive-feedback cooperative composite control law to achieve hierarchical suppression of multi-source disturbances. This invention improves the dynamic response performance, disturbance rejection capability, and control stability of PMSMs in complex operating environments.

The invention discloses an intelligent fusion navigation filtering method and system for complex environment transition. Navigation data and environment data are collected by a sensor arranged on ocean equipment, preliminary navigation state estimation is obtained after the navigation data passes through a strapdown inertial navigation module, and local error state estimation and filter health degree are obtained after the navigation data and the navigation data are input into a parallel sub-filter; combining the navigation data and the environment data with the health degree of the filter to serve as fusion data, inputting the fusion data into a reinforcement learning agent to obtain a dynamic fusion weight, performing weighted fusion on the plurality of local error state estimations by using the dynamic fusion weight, and superposing the fusion data on the initial navigation state estimation to generate a final navigation result. According to the method, the optimization mapping relation between the environment characteristics and the filtering weight is directly learned through the reinforcement learning agent, integrated self-adaptive adjustment from environment perception to fusion decision is achieved, and the estimation precision and robustness of a navigation system in dynamic complex environments such as a bay-ocean transition section are effectively improved.

The application discloses a free-form surface three-dimensional temperature and spectral emissivity field simultaneous reconstruction method, equipment and medium, wherein the reconstruction method comprises the following steps: acquiring an infrared spectral light field image of a free-form surface target, and generating a refocusing image sequence at different depths and a full-focus image of each wavelength; extracting free-form surface sparse feature points and acquiring spatial depth information of the free-form surface sparse feature points; constructing a surface topological structure for the sparse feature points, and eliminating depth abnormal points; reconstructing a continuous spatial depth distribution of the free-form surface, and extracting multi-wavelength radiation intensity at a corresponding depth; and based on a multi-wavelength radiation model, inversely calculating the temperature and spectral emissivity of each point of the free-form surface, and matching the temperature and spectral emissivity with the spatial depth to form a three-dimensional temperature field and a spectral emissivity field. The application realizes decoupling of free-form surface geometric depth reconstruction and spectral information reconstruction, effectively overcomes infrared image low-texture and defocus aliasing interference, and is suitable for three-dimensional temperature and spectral emissivity field synchronous reconstruction of complex free-form surface components.

This invention discloses a flow velocity measurement system for a turbine-type hydraulic current meter, belonging to the field of hydrological monitoring technology. The system includes: acquiring multi-source sensor data through a multi-source signal acquisition module; fusing the multi-source sensor data through a feature fusion processing module to generate fused flow velocity features; adaptively adjusting the fused flow velocity features based on a historical flow velocity dataset through an adaptive calibration module to generate a calibrated flow velocity value; dynamically compensating for errors in the calibrated flow velocity value based on the multi-source sensor data through an error dynamic compensation module to generate a final flow velocity value; and finally, appending the final flow velocity value to the historical flow velocity dataset by a dataset update module to generate an updated historical flow velocity dataset for the next adjustment. This invention employs a combined technical solution of multi-source signal acquisition, feature fusion processing, adaptive calibration, and dynamic error compensation, enabling high-precision, adaptive, and robust flow velocity measurement.

The application provides a silicon photon gyroscope stable control method and silicon photon gyroscope under a rapid temperature changing condition, and the stable control method comprises the following steps: setting a light source frequency control digital interval; controlling the light source temperature to make the light source center frequency enter a resonance valley, and recording the valley entering temperature; collecting the CW and CCW resonance signals output after the light source enters the resonance cavity, and calculating the sum of the clockwise and counterclockwise resonance frequency and the light source center frequency deviation; and calculating the feedback control light source current and temperature according to the light source frequency control digital interval where the sum of the frequency deviation is located. Through the adaptive control of the light source current and temperature, the light source center frequency can quickly track the resonance frequency of the resonance cavity under the rapid temperature changing condition, the stable control of the gyroscope is realized, and the gyroscope output accuracy is improved.

The invention provides a DC electric energy metering system based on a multi-skew integral ADC and dynamic error compensation, and the system comprises a signal collection module which is used for measuring a current signal and a voltage signal in a DC circuit, and obtaining an original analog signal; the signal conditioning module is used for amplifying and filtering the original analog signal to obtain a conditioned analog signal; the multi-skew integral ADC module is used for carrying out interlaced sampling and conversion under the control of a clock by adopting a plurality of ADC channels, and converting the conditioned analog signal into a digital signal; and the dynamic error compensation module is used for performing dynamic error compensation on the digital signal based on real-time temperature monitoring and preset system parameters to obtain compensated electric energy metering data.