210 results about "System error" patented technology

The invention relates to the technical field of semiconductor manufacturing, in particular to a wafer pre-alignment device and method, and the device comprises a mounting platform, an XY motion platform, a rotating platform, a suction cup, and an edge detection assembly. The method comprises the steps of device correction, coarse scanning and circle center positioning, fine scanning and notch accurate positioning and alignment execution. Through software and hardware cooperation, online self-correction is used for eliminating system errors, high-order fitting and feature screening algorithms are used for restraining random errors and model errors, the repeated positioning precision, notch orientation precision and equipment consistency of the wafer pre-alignment device are improved, and the high-precision requirement for a wafer transmission system under the advanced manufacturing process can be met.

The invention relates to a processor and a terminal for positioning a subway train, and the processor is in communication connection with an inertial measurement unit of the train, and is used for receiving multi-source data, collected by the inertial measurement unit, of the train; in the processor, an initial correction module performs state estimation on original acceleration and angular velocity data of a train acquired by an inertial measurement unit based on an error Kalman filtering algorithm, and dynamically corrects measurement noise and system errors in combination with a motion model of the system and an actual measurement value of the inertial measurement unit; the curve generation module constructs a time-mileage curve of the train and corrects the time-mileage curve based on the first correction proportion; the turning recognition module calculates the total mileage in the turning section and corrects the total mileage in the turning section based on the second correction proportion of the turning section; the abnormal vibration recognition module recognizes abnormal vibration features based on the high-order change rate of the acceleration and the angular speed of the train and marks the abnormal vibration features in a visual mode.

The invention discloses a PMSM (permanent magnet synchronous motor) control method for a mining electric locomotive. The method comprises a cooperative control framework of a fractional order sliding mode controller and a nonlinear extended state observer. Wherein the fractional order sliding mode controller constructs a novel sliding mode surface by introducing a terminal factor and a fractional order calculus theory, and introduces a state variable to design an adaptive fractional order reaching law, so that buffeting is effectively inhibited and controlled while system error convergence is accelerated; and the nonlinear extended state observer is used for estimating the uncertainty of a system model and the disturbance of an external load in real time, and introducing the uncertainty and the disturbance as feedforward compensation quantity into a control loop, so that the anti-interference capability of the system is remarkably enhanced. Through deep fusion of the fractional calculus theory, the sliding mode control and the nonlinear extended state observer, the problems of large buffeting, slow response, poor anti-interference capability and the like of a traditional control method of the mining electric locomotive under complex working conditions are solved, and the dynamic and steady state performance and the control precision of the system are remarkably improved.

The invention discloses an overlay error real-time correction system based on image recognition and dynamic fitting, and belongs to the field of semiconductor advanced packaging and manufacturing. The system comprises an image acquisition module, an error decoupling module and a dynamic compensation module to form closed-loop control. The image acquisition module adopts a high-resolution linear array CCD (Charge Coupled Device) and an AI (Artificial Intelligence) algorithm to realize high-speed and high-precision mark identification and error quantization; the error decoupling module performs decoupling and trend prediction on system errors and random errors by using PCA, a region weight matrix, LSTM and the like; and the dynamic compensation module realizes mu s-level partition graph compensation by a DMD optical system based on an error thermodynamic diagram through heterogeneous platform operation. The system supports the real-time processing of more than 100Hz, the average overlay error is less than or equal to 0.3 mu m and the response time is less than 5 seconds in the FOPLP and other processes, the problems of lag, low precision and the like of the traditional method are effectively solved, and the manufacturing yield and the production line efficiency are remarkably improved.

The invention relates to the technical field of multi-beam sounding calibration, and discloses a multi-beam sounding online real-time calibration method. The method comprises the following steps: acquiring original water depth data and corresponding sensor attitude data in real time; generating a data quality evaluation result containing a data credibility index and a data abnormal distribution feature based on the original water depth data; triggering a dynamic calibration mechanism containing a calibration period adaptive adjustment strategy and a calibration parameter optimization rule according to the data credibility index; optimizing the target calibration rule parameters in combination with the sensor attitude data to generate an optimized calibration parameter set, and correcting the original water depth data in real time by using the parameter set to generate primary calibration data; and performing topographic feature consistency check on the primary calibration data, if the primary calibration data does not pass the topographic feature consistency check, starting a re-calibration process containing a rule base updating mechanism and a parameter iteration mechanism, and analyzing a deviation trend based on historical calibration records to generate a system error prediction model.

Methods, systems, and devices for enhanced error handling in memory systems are described. A memory system may enter a read error handling procedure to recover data from a memory cell. For example, the memory system may perform multiple read operations at respective first read levels to identify a voltage valley associated with the data in the memory cell. Based on identifying the voltage valley, the memory system may read the data from the memory cell according to a second read level, where the second read level may be based on one of the first read levels, a first learning rate parameter, and a first momentum parameter. The memory system may determine whether to exit the error handling procedure or continue with the error handling procedure based on whether the data was successfully decoded in response to the read operation at the second read level.

The invention discloses a cable terminal crimping quality detection method, device and equipment and a storage medium, and relates to the technical field of cable testing, and the method comprises the steps: exciting a cable terminal through a current pin in the crimping process of the cable terminal, collecting the voltage of the cable terminal through a voltage pin, and obtaining a real-time voltage signal; and evaluating the crimping quality of the cable terminal based on the resistance change condition of the real-time resistance value in the crimping process. According to the invention, the detection behavior and the crimping process are carried out synchronously, and the real-time monitoring of the dynamic change of the resistance in the crimping process is realized, so that the method can be applied to the one-by-one full detection of a production line, and the measurement mode of separating current excitation and voltage collection is adopted. A system error caused by lead resistance introduced by a common lead of current excitation and voltage acquisition is avoided, and real-time performance, non-destructive performance and high precision are effectively considered when the crimping quality of the cable terminal is evaluated.

The invention provides a probe frequency response calibration parameter determining method, a probe frequency response calibration parameter measuring system and a storage medium, and the probe frequency response calibration parameter determining method introduces a composite test signal including a steady-state frequency sweep signal and a transient pulse signal. De-embedding calculation is carried out on a data set which is obtained under the two conditions that a probe is not connected to a calibration system and the probe is connected to the calibration system and responds to the same test signal, namely amplitude division is carried out to eliminate link gain deviation, phase subtraction is carried out to strip channel phase deviation, accurate extraction of the independent frequency response characteristic of the probe is achieved, and the accuracy of the independent frequency response characteristic of the probe is improved. Therefore, the frequency response calibration parameter of the probe is determined. According to the invention, system errors introduced by a test environment and a rear-end measurement link are eliminated, the calibration precision of the amplitude-frequency characteristic and the phase-frequency characteristic of the probe in a full working frequency band is improved, and a reliable basis is provided for implementation of accurate real-time anti-distortion compensation in actual signal acquisition of measurement equipment such as an oscilloscope and the like; and the reduction authenticity of the whole measurement system in the high-frequency and broadband signal test is ensured.

The invention provides a dam settlement monitoring pipeline three-dimensional shape reconstruction method and device, electronic equipment and a computer readable storage medium. According to the three-dimensional shape reconstruction method for the dam settlement monitoring pipeline, system errors caused by instrument deflection can be eliminated, and synchronous reconstruction of the full-depth high-precision three-dimensional shape and the section contour of the dam settlement monitoring pipeline is achieved.

The invention relates to the technical field of electronic measurement, and discloses a software instrument system-based short-wave broadcast equipment power automatic calibration system, which comprises a main control unit, a signal excitation unit and a measurement feedback unit. According to the method, an iterative adjustment process is controlled through a main control unit; a measurement feedback unit measures the actual output power of a measured device; and the main control unit directly takes the power difference value as the adjustment amount of the excitation level according to the power difference value between the actual output power and the preset target power, adds the adjustment amount with the current excitation level to obtain the next excitation level, and controls the output of the signal excitation unit until the preset precision is met. According to the method, test link loss calibration is executed before iterative adjustment so as to compensate system errors, a calibration lookup table can be automatically generated after calibration is completed, the problems that a traditional calibration method is low in efficiency and insufficient in precision are solved through an adaptive adjustment strategy and system error compensation, and the calibration accuracy is improved. The method has the beneficial effects of high convergence speed, accurate calibration result and high automation degree.

The invention discloses a ship lift chamber control station debugging system, which comprises a flap gate debugging module used for monitoring flap gate action position signals in real time, obtaining telescopic synchronous state parameters of oil cylinders on the left side and the right side, and generating corresponding trimming parameters and feedback instructions according to the difference of the telescopic state parameters of the oil cylinders on the two sides; the anti-collision beam debugging module is used for detecting an action position signal of an anti-collision beam in real time, acquiring telescopic synchronous state parameters of oil cylinders on the left side and the right side, and generating a trimming parameter and a feedback instruction according to the parameter difference of the telescopic states of the oil cylinders; and a ship chamber jacking debugging module. According to the ship lift ship chamber control station debugging system provided by the invention, system errors and transmission machinery inherent errors possibly generated by long-term operation of the system are solved, and position error correction is carried out on an actual position curve of last operation by a speed given curve and a position given curve given by a virtual main driving point each time; and the system internal reference is consistent with the external fact reference.

The invention discloses a target travel direction estimation method, system and device and a storage medium, and relates to the technical field of automatic driving. The target travel path direction estimation method comprises the following steps: acquiring a first movement track of a target, and converting the first movement track into a second movement track; determining a dynamic track and a track length of the target according to the second motion track and a preset adaptive track length determination algorithm; and determining the travel path direction of the target according to the dynamic trajectory, the trajectory length and a preset principal component analysis algorithm. According to the target travel path direction estimation method provided by the invention, the dynamic trajectory of the target is constructed based on the preset adaptive trajectory length determination algorithm, and the trajectory length of the target is dynamically adjusted, so that system errors caused by instantaneous sudden change (such as violent steering) of the target travel path direction are reduced; and the path direction vector of the target is extracted from the motion trail of the target by using a principal component analysis method, so that the accuracy of the path direction estimation of the target is improved.

An apparatus includes a processor configured to execute instructions, and a memory storing the instructions, which when executed by the processor configure the processor to generate system error prediction data using an error prediction neural network provided with one of a plurality of log data sequences generated by pre-processing a plurality of log data pieces of component log data of a system. The system error prediction data comprises information of a plurality of system errors occurring at a plurality of respective timepoints.

A method and device for predicting errors in a computing system are disclosed. The error prediction method includes: receiving log data generated by the computing system during operation of the computing system; tokenizing the log data into tokens; inputting the tokens to a discriminator model which generates scores of the respective tokens, each score corresponding to a probability that the corresponding token is an anomaly token; determining an anomaly score based on the scores; and determining a likelihood of future occurrence of an error in the computing system based on the anomaly score.

The invention discloses a high-speed heavy-load working condition bearing dynamic stiffness testing device and testing method, and relates to the field of bearing testing. The invention solves the problems that the existing bearing dynamic stiffness test technology and equipment only can load in a single direction, cannot simulate axial and radial composite loading, depends on contact transmission, is insufficient in heavy load bearing, lacks system vibration error suppression measures, and is poor in reliability. And the high-precision test requirement of the independent rolling bearing under the high-speed heavy-load composite working condition is difficult to meet. A shafting supporting module is arranged on the upper portion of a test bench support, a measuring module is located over the shafting supporting module, an axial loading module and a radial loading module apply axial force and radial force to a tested bearing respectively, and a driving module drives a supporting shaft and an inner ring of the tested bearing to rotate. Axial and radial composite loading under the high-speed heavy-load working condition can be achieved, axial and radial displacement can be monitored synchronously, system errors are reduced, and high-precision measurement of the dynamic stiffness of the bearing is achieved.

This invention relates to a method, apparatus, device, and medium for error compensation in a dual-drive feed system, belonging to the field of CNC equipment error measurement and compensation technology. The method includes: establishing a low-order volume array of the equipment to be modeled, equipped with a dual-drive feed system; obtaining an error transmission chain from the workpiece to the tool based on the low-order volume array; establishing a mathematical model of tool error and dual-axis error when the dual axes of the dual-drive feed system drive the tool; determining the homogeneous coordinate transformation matrix between any two volumes in the low-order volume array; establishing an error transmission matrix from the workpiece coordinate system to the tool coordinate system based on the error transmission chain, mathematical model, and homogeneous coordinate transformation matrix; establishing a comprehensive error model of the dual-drive feed system based on the error transmission matrix and the transmission matrix under ideal conditions; and performing error compensation on the dual-drive feed system based on the comprehensive error model, thereby improving the error compensation accuracy of the dual-drive feed system.

The application discloses a positioning method of a six-degree-of-freedom motion platform control center, and through correction of two errors of a position error of a sensor-bound control center and a real control center and a six-degree-of-freedom motion platform world coordinate system and a laser tracker world coordinate system error, the accuracy of finding a world coordinate system and an actual control center can be improved, a measurement model is constructed in combination with a laser tracker and T-MAC and other hardware devices, and calibration of the six-degree-of-freedom motion platform can be well completed. After measurement errors are corrected and eliminated, real-time platform control values are provided in a motion state of the platform, measurement values are acquired in real time through a relatively fixed T-MAC hardware device, and real-time dynamic calibration can be completed through comparison between the two. The method has high accuracy and efficiency, and can be widely applied to the six-degree-of-freedom motion platform.

The utility model discloses a multifunctional precision measuring instrument, and relates to the technical field of optical lens precision detection. The device comprises a shell, a multifunctional detection assembly and an overturning clamp assembly, the left side of the bottom of an inner cavity of the shell is fixedly connected with a detection host, the left side of the top of the shell is fixedly connected with a placement table, and the multifunctional detection assembly comprises a servo motor. According to the utility model, through the multifunctional detection assembly, measuring instruments for curvature radius, center thickness, refractive index and the like are integrated on the rotary table, the servo motor is utilized to drive the rotary rod to switch detection modes, and the detection host is matched to realize synchronous data processing, and the locking mechanism pushes the locking toothed plate through the cylinder to be engaged with the teeth to fix the rotary rod. It is ensured that the rotating table does not displace when the measuring instrument works, system errors caused by multi-device reference difference are eliminated, detection of multiple parameters can be completed through one-time clamping, precision loss caused by repeated positioning is avoided, and the device is particularly suitable for efficient batch detection of micro lenses.

The application discloses a positioning system error testing method, and belongs to the technical field of positioning. The method comprises the following steps: determining the coordinate systems of a measured system and a positioning reference system, and the positions of a test target point and a measured target point on a carrier; controlling linear motion of the carrier, and calculating a deflection angle between the two coordinate systems through a plurality of coordinate points of the test target point and the measured target point on a track of the linear motion; controlling rotation and linear motion of the carrier, acquiring a plurality of coordinate points of the test target point and the measured target point on a linear motion track after each rotation before the rotation, and an included angle between a longitudinal axis of the carrier and a coordinate axis of the measured system; and calculating errors of the measured system at each measurement point based on a preset relationship between positioning errors and distances between the two target points. The application has low requirements on the test target point and the measured target point in the testing process, can simplify coordinate system conversion calculation, and improves the accuracy of a positioning precision test result.

The embodiment of the application discloses a vertical assembly motion position correction method and device, equipment and a storage medium. The vertical assembly motion position correction method of the application is applied to a sampling assembly. The sampling assembly comprises a vertical assembly and a horizontal assembly. The method comprises the following steps: acquiring a vertical motion distance and a vertical motion direction of the vertical assembly; acquiring an actual motion distance and an actual motion direction of the vertical motor after executing a motion instruction on the vertical assembly; and determining whether the motion position of the vertical assembly is correct in combination with the actual motion distance and the actual motion direction. If the motion position is incorrect, the position of the vertical assembly is corrected according to the vertical motion instruction, the actual motion distance and the actual motion direction. Through the judgment of whether the motion position of the vertical assembly is accurate and the correction of the position of the vertical assembly, the motion position offset of the vertical assembly is eliminated, the motion position of the vertical assembly is more accurate, and the system error is effectively reduced.

The invention relates to the technical field of unconventional oil and gas resource development, in particular to a real-time control method for safe borehole drilling of a horizontal well, which comprises the following steps of: fitting stratum forced vectors of all drilled sections and actual track adjustment vectors of a bottom drilling tool combination to obtain a stratum-drilling tool coupling mapping function; establishing a system error vector for predicting the to-be-drilled section by taking the stratum forced vector of the to-be-drilled section and the actual trajectory adjustment vector of the bottom drilling tool combination of the drilled section as a reference and combining a stratum-drilling tool coupling mapping function; and actual trajectory control parameters of the section to be drilled are determined according to the prediction system error vector, so that the borehole trajectory meets the geological target spot requirement. According to the real-time control method for horizontal section track adjustment, accurate pre-judgment of track adjustment can be achieved, improvement of the precision of horizontal section track adjustment is facilitated, the mechanical drilling speed is increased, and the real-time control method is particularly suitable for well track adjustment in coal seam horizontal section drilling.

The invention relates to the technical field of semiconductor detection, in particular to a semiconductor wafer detection method and system. During application, the whole process is automatically executed, that is, automatic probe calibration, automatic vector network calibration, automatic visual calibration and automatic teaching are realized, and finally, automatic detection of each to-be-detected chip of the to-be-detected wafer is realized. The full-process automation of wafer detection is realized through parameter configuration, multi-dimensional calibration, visual teaching and automatic detection, chip and probe parameters are firstly set, then probe horizontal calibration, vector network system error calibration and visual positioning calibration are sequentially completed, chip model features are created, a needle insertion teaching position is marked, and the chip model features and the probe insertion teaching position are marked. According to the method, automatic chip searching, accurate probe insertion and electrified loop detection are achieved, the whole execution process can eliminate multi-dimensional errors such as probe postures, signal transmission and space positioning, it is guaranteed that detection data are real and reliable, the wafer detection precision, efficiency and consistency are improved, and the method meets the high-precision detection requirement of large-scale semiconductor wafers.

The invention discloses a front wheel angle control method of a steer-by-wire system. The front wheel angle control method comprises the following steps: step 1, establishing a lower steering dynamics model of the steer-by-wire system; 2, converting the kinetic model into a state space equation; 3, constructing a system error and a system error kinetic equation; step 4, constructing a candidate Lyapunov function; 5, analyzing the stability of the candidate Lyapunov function; step 6, according to the stability of the candidate Lyapunov function, designing a controller aiming at the output torque of the lower steering execution motor, and enabling the system error to converge to zero within finite time; and 7, determining the final output torque of the lower steering execution motor. According to the invention, high-precision and low-delay front wheel angle control can be realized.

The invention relates to a hierarchical terminal sliding-mode control method of a quadrotor unmanned aerial vehicle suspension system based on preset performance, which can eliminate load swing while lifting an unmanned aerial vehicle to a target position, and is based on a kinetic model of the quadrotor unmanned aerial vehicle suspension system added with external interference. Firstly, a preset performance function is utilized to convert system errors into a non-limited system, then the system is divided into a height subsystem and a displacement and swing angle coupling subsystem, a terminal sliding mode controller is designed for the height subsystem, a layered terminal sliding mode controller is designed for the displacement and swing angle coupling subsystem, and an adaptive law is designed on the basis of the terminal sliding mode controller and the layered terminal sliding mode controller. Finally, the controller enables the unmanned aerial vehicle hanging system to arrive at a target point in an expected track, rapid swing elimination is achieved, under the condition that pulse interference is added, it is verified that the robustness of the controller is high, and the actual hoisting requirement for positioning and swing elimination can be met.

The application provides a blockchain-based fluorine salt recovery state monitoring method and system for fluorine-containing wastewater, relates to the fluorine-containing wastewater recovery data processing technical field, and through accurate collection of fluorine salt concentration correlation data of initial and end states of each stage, uploading of a blockchain node to complete tamper-proof storage of original data, and ensuring data traceability and integrity. Subsequently, for physical interference such as micro-bubbles and flocs in sampling of high-concentration fluorine-containing wastewater, corresponding abnormal data is removed through deviation correction, and then combined with offline calibration data to compensate for system errors caused by electrode drift and environmental fluctuations, so that accurate optimization data conforming to actual working conditions are finally obtained. Based on the optimization data, the fluorine salt recovery state of each stage can be determined in real time, and fast feedback is realized to the process control system to achieve accurate regulation and control. At the same time, the recovery state results are stored again, which not only solves the core problems of data distortion and difficult removal of interference in traditional monitoring, but also adapts to the stable detection needs of the alkaline stripping agent system.

The application discloses a moving direction correction method of a bionic robot, and relates to the technical field of bionic robots.The method collects positioning parameters and attitude parameters of the bionic robot and sends the parameters to a control module.An error compensation module performs error self-checking, calculates an error factor, modifies the control law of the bionic robot, and sends the control law to the control module.The control module controls the movement of the bionic robot according to the error-compensated control law.A feedback module judges whether the bionic robot deviates from a target position according to the positioning parameters and the attitude parameters, sends feedback signals to the control module, adjusts the control law according to the feedback signals, and continues to control the movement of the bionic robot, and continuously feeds back and adjusts until the bionic robot reaches the target position and stops the movement control.The application can reduce system errors, improve stability and precision, has real-time feedback control and yaw detection capabilities, and improves the moving accuracy of the bionic robot.

The application relates to a system test operation scene mirror recovery method and device and a storage medium, and belongs to the technical field of test scene recovery. Specifically, a software embedded point component is embedded in different platforms to obtain operation data of multiple platforms; a test environment is deployed, and all services of the software to be tested are containerized deployed according to different versions and different environments; thus, the data sources and scenes of different versions can be effectively distinguished, and confusion and misoperation during mirror recovery are avoided; in the test process, the containers are time-sequenced mirror mapped through a preset slicing mechanism; system error logs in the mirror information data of different time sequences are analyzed to obtain error services and corresponding error moments; scene recovery is performed according to system running data and mirror information data of the error moments, and automatic operation restoration is performed through data collected by the embedded point; thus, specific data sources and operation scenes can be effectively traced back, and the problem root cause can be accurately located.

This application provides a papermaking pulping control method, system, storage medium, and program product, relating to the field of industrial process automation control technology. By performing weighted and differential arithmetic operations on current and historical errors based on preset proportional, integral, and differential coefficients, the ideal control increment is calculated, initially determining the adjustment force required to eliminate system errors. A weighted smoothing mechanism based on filter coefficients is introduced, i.e., by multiplying the ideal control increment with preset filter coefficients and combining this with the multiplication of the increment calculated at the previous moment with the complement of the filter coefficients, two partial results are generated and summed. This ensures that the commands received by the electric regulating valve are smoothly corrected, thereby eliminating high-frequency valve jitter and system oscillation caused by signal noise without reducing the system response speed, achieving high-stability control of the pulping process.

The invention discloses a block chain fragmentation system error fragmentation security guarantee method and system, and the method comprises the steps: transmitting a request message to other nodes in an entrance fragment if a node is a node in the entrance fragment after a security guarantee trigger condition and a round trigger condition are satisfied, and determining a random fragment; after the leader node receives the request message with the preset proportion, a forwarding message is generated and sent to all nodes in the random fragment; after receiving the forwarding message of the leader node, the node in the random fragment generates a state message and feeds back the state message to the leader node; the leader node generates a new cycle message after receiving a preset proportion of consistent state message in the random fragment, and sends the new cycle message to all nodes in the entry fragment; and after receiving the new cycle message, the node in the entry fragment executes a conflict processing operation. According to the method, the situation that the security or activity of transactions in the fragments is threatened due to the fact that error nodes possibly exceed a threshold value in part of the fragments can be handled.

The present application relates to a kind of control system index evaluation method based on external fine measurement mode, first based on analog star body builds external fine measurement system, provides control system index evaluation system environment.The angle between the two pointing target angles before and after the theodolite calibration analog star body maneuver is recorded The total time of maneuver, verify attitude control maneuver speed index.Using autocollimator measure the angle change of the initial pointing position of load simulator and the return position after maneuver, calculate the angle difference between the two stable positions before and after maneuver, combined with system error and random error, verify the attitude control precision index of control system.Using dual-frequency laser interferometer and analog star body form stable interference measurement optical path, from the imaging start time to the imaging end time, the stability of the real-time data measured by dual-frequency laser interferometer Angle, verify the attitude control stability index of control system, realize the index evaluation of spacecraft control system through external fine measurement mode, reduce professional requirements, good universality.