69 results about "Error identification" patented technology

The invention discloses an engineering measurement error dynamic correction method based on multi-sensor data fusion, and relates to the technical field of engineering measurement. Three error sources of sensor physical characteristics, environmental interference and manual operation are defined as estimable state variables, and differentiation processing is performed according to different characteristics of errors: a dynamic model is established to embed the sensor and environmental errors into a state space, so that real-time compensation based on the model is realized; according to the scheme, a gross error recognition mechanism based on data-driven statistical characteristics is established, real-time diagnosis and processing are carried out on personal errors, joint optimal estimation is carried out on unified state vectors by adopting a recursive estimation algorithm, and high-precision corrected physical quantities and estimated values of all error states are synchronously output. The measurement precision and reliability are obviously improved; by means of robust processing of gross errors, stability of the system in a non-ideal environment and online self-diagnosis and health monitoring of the measurement system are enhanced.

The invention provides an intelligent identification method and equipment for a simulation error dominant area of a power system, relates to the technical field of power systems, and solves the problems of unstable aggregation result, limited partitioning hierarchy, insufficient dynamic feature expression, lack of credibility feedback and the like in simulation error identification of the power system in the prior art. According to the scheme, a power grid weighted adjacency matrix is constructed; performing spectrum serialization and preliminary node rearrangement; community priority partitioning and intra-block optimization are carried out; performing hybrid dynamic simulation and credibility evaluation; and multi-level block recursion and error locking are carried out. According to the method, the weighted adjacency matrix with line impedance or admittance as the weight is constructed, so that mathematical layering and node coupling feature mapping of the power grid are realized; the method comprises the following steps of: extracting a sub-matrix from an error salient region, repeatedly executing spectrum aggregation and community division, realizing automatic locking of an error dominant node, forming a closed loop structure of spectrum aggregation-decoupling-simulation-feedback in combination with hybrid simulation feedback, and realizing multi-level error identification from global to local.

Disclosed herein is a technique for mitigating errors tied to software applications. According to some embodiments, the technique can be implemented by a server device, and include the steps of (1) identifying at least one error associated with a user of a software application, (2) identifying at least one client device associated with the user and on which the software application is installed, and (3) providing, to the at least one client device, an indication of the at least one error to cause the software application to, in conjunction with being loaded and / or displayed on the at least one client device: display a user interface that includes information derived from the indication, wherein the user interface is sandboxed from the software application in a manner that prevents the software application from observing activity that occurs within the user interface.

The invention discloses a five-axis machine tool geometric error identification method based on single-axis and multi-axis measurement, and belongs to the field of numerical control machine tool precision detection. Error kinematics and multi-axis motion models are established based on a multi-body system theory, and error identification models of a linear axis and a rotating axis are respectively constructed. On the aspect of a linear axis, an identification method based on measurement of a positioning error and a straightness error is provided, two measurement / identification schemes of single-axis motion and two-axis linkage are designed, and 18 linear axis geometric error parameters related to the position and 3 linear axis geometric error parameters irrelevant to the position are obtained through calculation. In the aspect of a rotating shaft, 12 rotating shaft geometric error parameters related to the position and 4 rotating shaft geometric error parameters irrelevant to the position are obtained on the basis of an existing linear shaft result based on a measurement and identification scheme of a double-ball-rod instrument in three directions and six positions. According to the method, positioning and straightness error detection are completed in combination with auxiliary equipment such as a laser interferometer and a double-ball-rod instrument, and the method has good universality.

The invention relates to a method for preventing CAN (controller area network) wake-up false identification after vehicle repair and part replacement of a vehicle-mounted controller, the vehicle-mounted controller uses a TJA1043 chip and is connected to a CAN bus, and the method comprises the following steps: after the vehicle-mounted controller is powered on and started, false triggering wake-up judgment is executed; if the judgment result is effective awakening, controlling the vehicle-mounted controller to enter a normal working mode; and if the judgment result is false triggering awakening, the vehicle-mounted controller enters the dormancy or shutdown state again. By adopting the method, the system, the device, the processor and the storage medium for preventing CAN wake-up error identification after vehicle repair and part replacement of the vehicle-mounted controller, under the condition that a TJA103 chip is not changed, the CAN wake-up error identification can be prevented for all controllers managed by an Autosar network and an instrument controller which is defined as OSEC network management and is provided with a perpetual calendar; a scheme for solving INH output false triggering of a cold start TJA1043 chip is provided, contradictions caused by cost are solved, and software misjudgment when a storage battery on a controller is normally powered is solved by using a system method.

The invention relates to a clamping error identification method for precision assembly and electronic equipment, and the method comprises the steps: firstly constructing an assembly system model, initializing a force sensing module, and when a part is clamped, identifying a clamping position error and carrying out gravity compensation through analyzing a mapping relation between force sensing data and a part barycentric coordinate; then, in the contact stage of the part and the reference shaft, a contact force line equation is established, contact point coordinates are solved, and a clamping attitude error is obtained through further calculation; and finally, the robot carries out real-time motion compensation under an impedance control strategy based on the identified position and attitude errors, and the assembly quality is evaluated after assembly is completed until all the parts in the batch are assembled. On-line dynamic recognition and closed-loop correction of position and posture deviation in the clamping process are achieved through force sensing information, and the assembly precision and the self-adaptive capacity of the system are remarkably improved.

The invention provides a product copywriting optimization method and device, equipment, a medium and a product. The product copywriting optimization method comprises the following steps: collecting a copywriting and preprocessing the copywriting to obtain copywriting data; evaluating the copywriting data, and generating an error list and an error evaluation report; repairing the copywriting according to the error list; wherein the document data evaluation comprises the following steps of: respectively judging whether errors exist in each document segment in the document data by using a retrieval enhancement generation (RAG) technology on the basis of a preset standardized word bank; judging whether errors exist in the copywriting fragments or not by using an inference model; and generating an error list and an error evaluation report. The method and the device have the advantages that automatic identification and accurate replacement of copywriting errors with clear rules are realized, manual verification is replaced, and verification efficiency and accuracy are improved; the real-time performance is good, error recognition and correction can be synchronously completed during online, and time loss caused by recognition and uploading after online is avoided; independent platform deployment is not needed, cost is low, and maintenance is easy.

The invention relates to the field of experiment guidance, and particularly provides a virtual experiment environment guidance information generation method and system, a terminal and a medium, and the method comprises the steps: capturing operation data of a student in a virtual experiment environment in real time to extract operation intention features, carrying out the compliance check of parameter setting, and carrying out the recognition and judgment of an equipment state and an experiment result, the method comprises the following steps: firstly, carrying out scene analysis on a scene, forming a uniform situation representation vector, carrying out rule matching through a predefined rule based on the vector, predicting and identifying operation errors, logic errors, safety violations and potential experiment risks through a machine learning model, and outputting a final diagnosis result by adopting a conflict resolution mechanism; and according to the error type, the risk level, the historical performance of the student and the learning preference, dynamically generating and outputting guidance information in a text, vision, voice or animation form. According to the invention, the accuracy and comprehensiveness of error recognition are improved, the safety protection capability of the experiment process is enhanced, and real-time and accurate guidance of student operation is realized.

The application discloses a vehicle-mounted display screen recovery method and device, a storage medium and a vehicle, relates to the technical field of vehicle-mounted intelligent cockpits, and comprises the following steps: in response to display link abnormality of a vehicle-mounted display screen, reporting error identification of the display link abnormality to a user state service of a vehicle-mounted system; controlling the user state service to create a vehicle-mounted display screen self-recovery transaction according to the error identification, executing a self-recovery program corresponding to the vehicle-mounted display screen self-recovery transaction; determining that the self-recovery program does not recover the display link of the vehicle-mounted display screen, and restarting to recover the vehicle-mounted display screen. Self-healing is prior to whole-machine restart, and invalid attempts are reduced through adaptive backoff, so that the restart frequency can be reduced, thereby reducing the start-up delay, data consistency and energy consumption cost caused by restart, improving the stability and maintenance efficiency of the system, and improving the availability, reliability and maintainability of the display link.

The invention provides a state estimation and error identification method and device for an autonomous navigation system, and the method comprises the following steps: obtaining an observability evaluation index of the system by using an observability criterion; according to the observability evaluation index of the system, obtaining the accurate compensation degree of the measurement error of the optical sensor, and determining the achievable state estimation accuracy of the autonomous navigation system; constructing an observability optimization function; analyzing a coupling relationship between a measurement error and a system state based on an observability optimization function, and establishing an error response model; according to the error response model, constructing a system state parameter joint optimization model through the observability evaluation index of the navigation system; and optimizing the system state parameter joint optimization model and realizing on-orbit identification of errors and system states. The accuracy of observability judgment of the navigation system is improved, observation information and calculation resource allocation can be autonomously optimized, and the problem of state estimation under the weak observation condition is solved.

The invention provides a multi-gross error recognition RAIM method based on DBSCAN clustering, and the method comprises the steps: processing received satellite observation data through employing a QR parity check method, and constructing an observation sample; performing standardization processing on the observation sample; a DBSCAN clustering analysis algorithm is used for analysis, abnormal clusters different from normal data distribution modes are recognized, observation values corresponding to the abnormal clusters are judged as gross errors, and then the gross errors are removed from observation samples; performing iterative processing on the observation sample after the gross error is removed until an observation value meets a preset inspection condition, and outputting a positioning calculation result; and if the observation value still does not meet the test condition after a preset number of iterations, judging that the data of the epoch is unreliable, and abandoning the epoch. According to the method, DBSCAN clustering is integrated into the RAIM algorithm, the advantages of the DBSCAN clustering in the process of processing noise-containing spatial data can be fully utilized, noise interference is effectively eliminated, and then the detection capacity of the RAIM algorithm in a multi-gross-error scene is improved.

The present invention is for, in applying a target object exploration according to a RPA scenario based on a previous UI screen to the current UI screen, if a specific target object cannot be searched or an error occurs due to a change on a target app / web at the current time point, automatically extracting information on the most suitable corresponding object on the current UI screen, thereby automatically recovering from the target object exploration execution failure of the previous scenario. A method of the present invention may comprise: an error recognition step for detecting the occurrence of an error resulting from the application, to the current UI screen, of a target object exploration based on object exploration information of a RPA scenario created on the basis of a previous UI screen; an image information LLM inquiry step for generating a first prompt including a first image including at least a portion of the previous UI screen including a target object, and a second image including at least a portion of the current UI screen, and instructing a generative AI to return information of an object corresponding to the target object on the current UI screen; and an object exploration step for performing target object exploration on the current UI screen.

The application discloses a classroom instant interaction feedback analysis method and system based on a portable multimedia display device, relates to the field of educational information technology, and discloses the classroom instant interaction feedback analysis method and system based on the portable multimedia display device, which automatically acquires student answer data, performs logical analysis, verification correction, cluster analysis and common error identification, and generates visual feedback in real time, solves the problems of low artificial review efficiency and incapability of accurately positioning common errors in the prior art, can automatically analyze the solution logic of open questions, identify common errors, and provide real-time visual feedback, improves classroom interaction efficiency and teaching accuracy, and thus improves teaching quality.

The invention discloses a geocoding error identification method based on external semantics and space consistency constraint, and belongs to the technical field of geocoding. The method comprises the following steps: firstly, carrying out word segmentation on a text address and judging whether the text address is a road complete type address or a road missing type address; coding coordinates are obtained through a geocoding platform, and road network data are combined to generate a road set R with the first three distances; the road missing address directly takes the mean value of the distance from the coordinate to the R as an error; the road complete type address is further divided into a matching failure type address or a road matching type address, the matching failure type address takes a corresponding distance or a mean value according to the road matching condition, and the road matching type address deduces an error through POI spatial clustering. The method is based on external semantics and spatial consistency constraints, and is used for identifying errors of coding coordinates after a geocoding platform executes geocoding operation on a text address.

Techniques for automatic error mitigation in database systems using alternate plans are provided. After receiving a database statement, an error is detected as a result of compiling the database statement. In response to detecting the error, one or more alternate plans that were used to process the database statement or another database statement that is similar to the database statement are identified. A particular alternate plan of the one or more alternate plans is selected. A result of the database statement is generated based on processing the particular alternate plan.

This invention provides a real-time feedback-based intelligent dynamic compensation control method and system for CNC machine tools, relating to the field of machine tool control technology. It involves real-time acquisition of multi-source state data during the CNC machine tool machining process, and using a trained hybrid dynamic error identification model to perform real-time identification of multi-source dynamic errors on the pre-processed standardized state dataset. An adaptive dynamic compensation strategy is generated based on the real-time identification results. The compensation strategy drives the servo motors of each axis to achieve real-time dynamic compensation of the machining process. This invention achieves accurate identification of machine tool errors through a hybrid dynamic error identification model, and effectively mines the complex nonlinear mapping relationship of dynamic errors by fully exploring long-sequence, short-sequence, and local correlation features, thus improving the model's robustness and generalization ability. Furthermore, by employing a basic threshold and a trend-corrected adaptive threshold, this invention can achieve synchronous and accurate compensation of single-axis errors and multi-axis coupled errors, further improving compensation accuracy.

An information transmission method to be implemented in an information transmission system including a processing apparatus configured to process an objective material, a communication apparatus, and a responsive device communicably connected with the communication apparatus, is provided. The method includes controlling the processing apparatus to generate an error identification code indicating error information concerning an error occurring in the processing apparatus and controlling a display of the processing apparatus to display the generated error indication code; and controlling an image capturing unit in the communication apparatus to read the error identification code displayed on the display in the processing apparatus and controlling a communication unit in the communication apparatus to transmit the error information included in the error identification code to the responsive device.

The invention discloses a biarc ball screw raceway section error identification method, which comprises the following steps of: acquiring normal section two-dimensional original data of a raceway, fitting the original data through a sliding window to screen outer diameter section data, and completing clamping inclination error correction through least square fitting and coordinate transformation; in combination with a contourgraph hardware measurement parameter, continuously compensating a displacement coupling error to obtain new two-dimensional data; screening out raceway contour data from the new two-dimensional data, dividing the raceway contour data into segments containing complete left and right raceways, and fitting radiuses and circle centers of left and right arcs of each segment; preferentially adopting a geometric analysis method to solve the circle center of the ball for each segment, and switching a grid constraint centering algorithm to carry out iterative positioning in case of failure; and calculating a comparison design value of the contact angle and the nominal lead. Through a dual error correction mechanism and a dual-path circle center solving strategy, the problem of measurement errors caused by clamping inclination and displacement coupling of a contourgraph lever structure in the existing measurement technology is solved, and the measurement precision and the data processing efficiency are both considered.

The invention discloses a real-time assembly error recognition and early warning method based on multi-dimensional dynamic threshold adjustment. The method comprises the following steps: extracting a multi-modal assembly state descriptor and a field assembly information sequence; field assembly information fragments are intercepted for similarity calculation; constructing a time sequence prediction module, and taking the field assembly information sequence as input to predict the assembly state of the next frame; constructing a weighted Euclidean distance matrix of the field fragment and the template fragment, and calculating a minimum cumulative distance to quantify the difference between the two sequences; a dynamic threshold model is established based on statistical process control, and whether errors exist in the assembly process or not is judged according to the model; based on an incremental dynamic time planning algorithm and a real-time data acquisition module, a real-time identification system is constructed to realize early warning and standard step pushing, and a real-time adaptive quality control closed loop is formed. According to the method, a real-time and self-adaptive quality control closed-loop system is formed through integration with multi-mode sensing and AR guide technologies, and an effective solution is provided for a complex industrial assembly scene.

The application provides a geographic coding error identification method based on addresses and coordinates, belongs to the technical field of geographic coding, and comprises the following steps. n S1: performing geographic coding on each text address through a geographic coding platform and converting each text address into corresponding coded coordinates in a WGS-84 coordinate system; each text address is in a standard format; S2: for any coded coordinate, error identification is performed on the coded coordinate to obtain an identification type of the coded coordinate; the identification type comprises a potential error type, a no-error type and an unidentifiable type; if the coded coordinate is a no-error type coded coordinate, an error value 0 of the no-error type coded coordinate is directly output; and S3: for the coded coordinate belonging to the potential error type, an error value of the coded coordinate is calculated. The method can determine the error value of the coded coordinate output by the geographic coding platform, thereby realizing error identification and precision evaluation of the geographic coding result and improving accurate understanding of the geographic coding.

The application discloses a kind of open loop hemispherical resonator gyro error identification methods, the vibration energy of the resonator mainly collected as the input of algorithm, and after following processing: 1) by tracking differentiator reduces initial error, effectively solve the contradiction of overshoot and rapidity, reduce external compensation energy, reduce drive voltage consumption;2) by extended state observer to track the variable trend of hemispherical gyro in real time, the degree of dependence on model is low;3) by nonlinear state error feedback control law to eliminate noise strong and robustness strong anti-interference.Solve the technical problems that prior art exists system stability, control precision is not high.

The invention discloses a concrete beam segment short line matching error identification and control method, which comprises the following steps: step S1, according to relative positions along a prefabrication direction, a section and a measuring point of a segment are defined, and the segment comprises a No.0 beam segment and a standard beam segment; s2, 0 # beam section prefabrication coordinate conversion is carried out; s3, prefabricated control parameters of the No.0 beam section are calculated; step S4, lofting a No.0 beam section measuring point; s5, performing actual measurement and error correction on the prefabricated parameters of the No.0 beam section; s6, 0 # beam section assembling coordinate conversion is carried out; s7, standard beam section prefabrication coordinate conversion is carried out; s8, standard beam section prefabrication control parameters are calculated; s9, setting out a prefabricated section measuring point under a standard beam section prefabricated coordinate; step S10, actual measurement and error calculation of prefabrication parameters of a standard beam section; and S11, correcting the assembling coordinates of the standard beam section. The method solves the problem of error identification and correction in the construction process of prefabricating the concrete beam section through the short line matching method.

The application belongs to the technical field of error measurement, and discloses a rotary shaft position related error measurement device and identification method for a double-rotary-table five-axis numerical control machine tool, which comprises an R-test measurement unit, a first standard ball, a second standard ball, a standard ball tool clamp, a connecting rod, a first supporting rod, a second supporting rod and two magnetic bases. The R-test measurement unit comprises a micro-ohmmeter clamp and three micro-ohmmeters, wherein the three micro-ohmmeters are fixed on the micro-ohmmeter clamp; the first standard ball and the second standard ball are fixed on the two ends of the connecting rod; the connecting rod is connected with the first supporting rod and the second supporting rod through two standard ball tool clamps; the first supporting rod and the second supporting rod are fixed on the two magnetic bases respectively, and the two magnetic bases are fixed on a horizontal rotary table; the length of the first supporting rod is greater than that of the second supporting rod, and the first standard ball is arranged at the end of the first supporting rod. The application avoids the clamping error introduced by multiple installations and solves the problem of high difficulty in full-geometric-error identification.

The application discloses an engineering measurement error dynamic correction method based on multi-sensor data fusion and relates to the technical field of engineering measurement. By defining three error sources of sensor physical characteristics, environmental interference and human operation as estimable state variables, different characteristics of errors are processed differently: a dynamic model is established to embed the sensor and environmental errors into the state space, real-time compensation based on the model is realized, a gross error identification mechanism based on data-driven statistical characteristics is established to realize real-time diagnosis and processing of human errors, a recursive estimation algorithm is used to perform joint optimal estimation on the unified state vector, and the estimation values of the corrected physical quantity and error states are output synchronously, the scheme significantly improves the measurement accuracy and reliability through dynamic error compensation and optimal fusion, and the stability of the system in a non-ideal environment and online self-diagnosis and health monitoring of the measurement system are enhanced through robust processing of the gross error.

The invention discloses a clinical examination error identification and classification method. The method comprises the following steps: acquiring patient detection data of a clinical examination item and preprocessing the patient detection data; inputting the preprocessed data into the optimized first algorithm function and the optimized second algorithm function to obtain a corresponding first algorithm function value and a corresponding second algorithm function value; based on a preset control limit, identifying a data point with the first algorithm function value or the second algorithm function value exceeding the control limit as an initial alarm point; extracting features of the initial alarm point; and inputting the features into a pre-trained classification model to obtain a classification result of the initial alarm point, the classification result being used for indicating that the initial alarm point is a system error, a random error or a false alarm. According to the invention, the error detection and classification capability in the clinical examination process can be improved.

The invention discloses a network-on-chip full error type fault-tolerant optimization system and method based on redundant transmission, belongs to the technical field of computer network communication, and aims to solve the technical problem of how to realize effective detection and response of network-on-chip soft and hard errors. Comprising a hard error detection module, a soft error detection module and a data packet synchronization module, and the soft error detection module completes SEU / MBU detection, error correction and retransmission; the hard error detection module monitors states of a link and a router in real time, outputs error identification and position information and dynamically adjusts a routing algorithm based on an error state; the data packet synchronization module solves the problem of disorder in redundant transmission and guarantees data integrity, the three modules are matched to cover full error types, an integrated system of accurate fault tolerance and data synchronization is supported, and high-reliability design is provided for manufacturing of a high-precision network-on-chip.

The invention discloses an automatic driving dangerous state scene error identification and correction method and system, and belongs to the technical field of automatic driving safety, and the method comprises the steps: 1) obtaining an automatic driving prior scene library, and collecting the actual road test data of an automatic driving vehicle; 2) defining and calculating an error between the automatic driving scene library and the prior scene library; 3) constructing a scene library error estimation model; 4) training to obtain a weight value, and performing error correction; and 5) verifying an error correction result. The system comprises a data input module, an error definition module, a model construction module, a model training module and a model verification module which are used for realizing the steps and are in one-to-one correspondence. According to the technical scheme of the invention, the method achieves the accurate estimation of the error of the automatic driving dangerous state scene, overcomes the practical difficulty in quickly obtaining a large number of automatic driving dangerous state scenes, facilitates the recognition of the performance boundary and algorithm shortages of an automatic driving system, and promotes the optimization and iteration of an automatic driving technology.

The invention relates to the technical field of numerical simulation, in particular to an ultrasonic flowmeter measurement error and reason analysis method, system and device and a medium. According to an actual flowmeter structure, an ultrasonic flowmeter digital simulation model is constructed, and an error injection module is introduced into the ultrasonic flowmeter digital simulation model; based on the constructed ultrasonic flowmeter digital simulation model, actual flowmeter data are collected in real time, the actual flowmeter data and virtual simulation data are adopted for collaborative sampling and correction, parameters of the ultrasonic flowmeter digital simulation model are dynamically adjusted through an optimization algorithm, and the ultrasonic flowmeter digital simulation model with the dynamically adjusted parameters is used for simulating the ultrasonic flowmeter. The error injection module is used for carrying out a disturbance experiment on a key error source, generating a space-time database, establishing a machine learning model, inputting the generated space-time database and cooperative correction data into the machine learning model, analyzing and outputting a root cause of an error, and improving the accuracy of error identification and the root cause traceability.

The invention discloses a BMC (Baseboard Management Controller) regular log acquisition and intelligent error analysis and positioning method, which integrates advanced technologies such as regular acquisition, content difference analysis, intelligent error identification and positioning and the like, and realizes efficient management and accurate error diagnosis of server logs. By combining the experience summary of previous project troubleshooting and positioning, the system troubleshooting efficiency is improved, the need of manual participation is reduced, the system has important practical application value, the intelligent level of server operation and maintenance and the fault response speed are improved, the operation and maintenance cost and the human resource investment are reduced, and the method is suitable for popularization and application. And powerful support is provided for efficient operation of the data center.

The invention relates to a harmonic reducer transmission error prediction and assembly error identification method based on a circumferential pitch error, and belongs to the technical field of precision transmission equipment design and manufacturing, and the method comprises the steps: S1, measuring the circumferential pitch accumulated deviation of a flexible gear and a rigid gear of a harmonic reducer; s2, establishing a transmission error component model dominated by manufacturing errors; s3, Fourier fitting is carried out to construct a transmission error prediction model, installation errors are introduced, Fourier series fitting is carried out to obtain a flexible gear error fitting function, a rigid gear error fitting function and a manufacturing error total model, the installation errors, namely eccentricity and inclination errors, are introduced, and a total transmission error model is constructed; and S4, assembling error identification based on frequency domain characteristics. The transmission error can be predicted by combining the multi-tooth meshing characteristic of the harmonic reducer with Fourier fitting and the part stage, the overall qualified rate of products is improved, the error types such as inclination and eccentricity of the rigid gear can be distinguished through frequency domain characteristic analysis and the test stage, the reducer does not need to be disassembled, and the troubleshooting efficiency is improved.