72 results about "Error processing" patented technology

The invention discloses a method for processing an uncorrectable error of bus equipment and a server, relates to the technical field of servers, and aims to reduce the reporting frequency of the uncorrectable error by setting a suppression identifier of the uncorrectable error of the bus equipment and a time window of uncorrectable error statistics, and improve the reporting efficiency of the uncorrectable error when the uncorrectable error is triggered for the first time. According to the method, uncorrectable errors are reported, the uncorrectable errors are captured, it is ensured that initial errors are not missed, and when the error count of a time window is larger than a reporting threshold value, reporting is carried out again, error missing processing of error aggravation is avoided, redundant error reporting is reduced, an error reporting storm is inhibited through an inhibiting identifier, and the error reporting efficiency is improved. Therefore, the influence of frequent error triggering on the availability of a server system and normal operation of other services is reduced, the reliability of the server is improved, and the technical problems that frequent error triggering cannot be corrected, other service requirements are covered and the availability of the server system is influenced in the related technology are solved.

The invention discloses a server and processor error processing method and device, a medium and a program product, and relates to the technical field of servers. The method comprises the following steps: when a correctable error occurs in a processor, displaying a setting interface containing error parameter configuration options, and setting a target fault-tolerant allowable value corresponding to the correctable error for the error parameter configuration options; in an execution environment corresponding to the system management mode, selecting error degree data corresponding to the processor from the multi-device error collection information according to error type identifiers allocated for different errors by an error register; and determining whether to generate an error reporting and clearing instruction according to the processor error degree data and the target fault tolerance allowable value. According to the method and the device, the problem that CPU CE faults cannot be found in time due to the fact that decoupling cannot be carried out when errors are reported in related technologies can be solved, a user can perceive CE error types, fault recognition accuracy and efficiency can be improved, the occurrence probability of CE storm can be reduced, and the reliability of a server can be improved.

The invention discloses a time sequence prediction method and system based on decomposition and a dual-path architecture, and belongs to the field of time sequence analysis and prediction.The method comprises the steps that multivariable time sequence data to be predicted are input, and a decomposition module is used for decomposing a multivariable time sequence into a trend component and a residual component; using a trend processing module to encode the trend component, and efficiently capturing the stationary characteristic of the trend component to obtain a trend characteristic; a residual error processing module is used for coding the residual error component, complex dynamic changes of the residual error component are accurately captured, and residual error features are obtained; fusing the trend feature and the residual feature by using a feature fusion module to obtain a fused feature; and generating a final time sequence prediction result by using a prediction generation module based on the fusion features. According to the method, differentiated and specialized modeling is carried out on the trend component and the residual component, so that the prediction precision and the calculation efficiency are effectively balanced, and the accuracy and the robustness of complex time sequence prediction are improved.

The invention discloses an automatic identification and intelligent processing method and device for a sharp-angle pattern spot, and relates to the technical field of geographic information investigation, and the method comprises the steps: S1, calculating a pattern spot angular point included angle through setting a threshold value, and identifying and outputting the position and attribute of a sharp angle; s2, pattern spot positions and angular point features are extracted, and sharp-angle pattern spots are classified; s3, for different types of sharp angle pattern spots, respectively adopting a cutting and merging strategy, a corner cut back-filling strategy, an area fusion strategy or a boundary adjustment strategy, and ensuring the correctness of processed data through topology verification; s4, realizing non-destructive processing through data backup, marking and process recording; and S5, constructing an error processing and feedback mechanism to guarantee the process stability. According to the automatic identification and intelligent processing method and device for the sharp angle pattern spots, human errors can be reduced, data accuracy can be improved, repeated labor can be reduced, labor input can be reduced, the production cycle can be shortened, and the production process can be smoother and more efficient through intelligent process processing.

A system and method are provided for handling errors when prompting large language models (LLMs). The method includes parsing an indication of a first error to determine corrective information for remedying the first error. The first error is responsive to a command generated by an LLM responsive to prompting the LLM with a first input. The method also includes providing the corrective information causing prompting of the LLM with a second input.

The invention provides a large language model service request scheduling method and system, and belongs to the technical field of large language models and service computing. Fine-tuning the large language model by constructing an instruction fine-tuning data set and predicting the length of a response text, and constructing a relation model between the response time of the fine-tuned large language model and the length of the response text to obtain an approximate solution of the response time; performing batch processing on the service request of the large language model and setting a batch scheduling strategy; an error processing mechanism is introduced, the predicted response text length is compared with the response text length output after the large language model receives the service request, and the service response state of the large language model is determined according to the comparison result. According to the method, the task characteristics in the service response process can be fully utilized on the basis of ensuring accurate prediction of the service response time, so that effective and ordered scheduling of the large language model service response is realized.

The invention provides a high and low temperature data processing method for a storage device, and the method comprises the steps: recognizing a temperature difference between a write-in temperature associated with LBA corresponding data in an LBA space and a current temperature in a background inspection task; when the LBA of which the temperature difference between the write-in temperature associated with the data and the current temperature is greater than a preset threshold value is identified, moving effective data in a physical block or a large block where the data corresponding to the LBA is located to other idle physical blocks or large blocks; and recording a current temperature as a write temperature associated with the migrated valid data in the idle physical block or large block in association with the migrated valid data. According to the method, the existence of the error data can be recognized and corrected in advance through background inspection, so that the error processing process is initiated in advance, and the error processing delay is dispersed in a larger time range to inhibit the read data performance jitter, ensure the error processing efficiency and reduce the probability that a user perceives the read data performance jitter.

This invention discloses a method, apparatus, and electronic device for handling application layer errors in an operating system, comprising: obtaining the build status of the operating system; performing error checks on the application layer by calling multiple application programming interfaces (APIs) based on the build status to obtain error identifiers; determining the error type of the application layer based on the error identifiers; determining whether to enable a pre-configured error log based on the error type; if so, obtaining error information by enabling the error log; determining the interface information of the API that caused the error during the call based on the error information through a preset interface; and handling the operating system application layer error based on the interface information of the API. This invention improves the efficiency and accuracy of operating system application layer error handling by centrally processing operating system application layer errors through calling multiple APIs.

The invention discloses a land surveying and mapping data management method and system based on data error analysis, and relates to the technical field of data processing, and the method comprises the steps: determining management target position information, and constructing a surveying and mapping data tower, a backtracking data tower and a personnel file tower; acquiring original data and storing the original data into a surveying and mapping data tower; performing error analysis on the original surveying and mapping data to obtain related information; performing hierarchical processing and storage on the data based on the result; error analysis process information is screened and stored in a backtracking data tower; and reconstructing the data ring to obtain a standard surveying and mapping data tower. The system comprises an acquisition module, a management module, a data processing module and a display module, the management module comprises a data tower construction, management and reconstruction unit, and the data processing module comprises an error processing unit, a hierarchical processing unit and an error screening unit. The method has the advantages that by constructing the multi-dimensional data tower and combining error analysis and hierarchical processing, whole-process management and control from original data collection to standard data generation are achieved, and data reliability and traceability are improved.

The invention discloses a method for measuring and verifying the size of a building construction horizontal member, and relates to the field of building construction.The method comprises the steps that data of the horizontal member are collected and transmitted to an intelligent processing terminal through Bluetooth, and the intelligent processing terminal preprocesses the data of the horizontal member; the intelligent processing terminal transmits the preprocessed data to the verification module, the verification module compares and analyzes the data, the data are optimized by removing the horizontal component data which are obviously wrong and exceed a reasonable range and supplementing the missing horizontal component data, the data error is reduced, and the data processing efficiency is improved. And finally, the error data is transmitted to a processing module for error processing and a report is generated, accurate size measurement and error analysis are realized by combining a measurement tool and data preprocessing, and the measurement precision of the method is relatively high and is close to reference data of a total station.

A control method for error handling in a controller, a storage medium thereof, the controller, and a storage device. The controller is used in a first device capable of linking a second device in accordance with an interconnection protocol. The control method includes the steps of: processing, by the controller, first error information by sending a negative acknowledgement control message to the second device in accordance with the interconnection protocol, wherein the first error information indicates a first error that occurred when the controller performs data reception at a protocol layer in accordance with the interconnection protocol; and setting error handling state data to indicate that error handling is declared for the first error information, so that the controller does not handle a sequence number error that occurs after the first error until the error handling state data is set to indicate that the error handling is undecleared.

The application provides a work order processing method and device, the method comprising: obtaining work order data; extracting fault information from the work order data to obtain the fault information; matching the fault information with work order instances in a previously established fault feature database to obtain matched work order instances; wherein the fault feature database is established based on work order instances and corresponding processing strategies; and calling the corresponding processing strategies and executing according to the matched work order instances. The application extracts fault information from the obtained work order data to clearly define the core content of the fault, remove irrelevant information interference, improve the accuracy and efficiency of subsequent processing, matches the extracted fault information with work order instances in the fault feature database to quickly locate the verified processing strategy corresponding to the matched work order instances, improves the accuracy of work order processing, reduces the possibility of incorrect processing, reduces the time and cost of starting from scratch to analyze and solve problems, and improves the speed and success rate of fault processing.

The embodiment of the present invention relates to the field of report preparation, and discloses a report preparation error prevention processing method, device, electronic device and storage medium, the method comprising: obtaining the report chapter text to be reviewed; inputting the report chapter text into a pre-trained error prevention classification model, and outputting the target preparation error type to which the report chapter text belongs; the error prevention classification model is used to output at one time whether the report chapter text belongs to the following four types of preparation errors: review problem errors, preparation focus errors, preparation guide errors and preparation specification errors; according to the target preparation error type to which the report chapter text belongs, error prevention reminder information is generated and output. In the present invention, it can help the compilers to quickly familiarize themselves with and prepare reports, help the auditors to quickly discover existing problems, and reduce the recurrence of routine, common sense and normative errors in reports, while obtaining past writing experience in a targeted manner to improve the quality of report preparation.

The invention provides a method for extracting CAD format measurement data, and relates to the field of engineering measurement. The method comprises the following steps: S1, analyzing a CAD file; s2, identifying layer semantics and carrying out adaptive matching on the layer semantics; s3, determining the priority of a dynamic layer and resolving conflicts; s4, performing duplicate removal operation; s5, performing parameter configuration and partition extraction operation; s6, error traceability and grading correction operation are carried out; and S7, performing data verification and generating a report. The method has the beneficial effects that a weighted summation method is used for solving a comprehensive score to determine a target layer, and meanwhile, manual work is combined, so that the accuracy can be ensured while the processing efficiency is improved; the method has the advantages that the CAD content in the same project can be completely extracted by the aid of the deduplication and increment extraction operations, accordingly, resource waste can be greatly reduced, and the efficiency can be improved; and through grading error correction, the error processing time is reduced while the correction precision is ensured.

The application discloses a land surveying and mapping data management method and system based on data error analysis, relates to the technical field of data processing, and comprises the following steps: determining management target position information, constructing a surveying and mapping data tower, a backtracking data tower and a personnel archive tower; acquiring original data and storing the original data into the surveying and mapping data tower; performing error analysis on the original surveying and mapping data to obtain relevant information; performing hierarchical processing on the data based on the result and storing the data; storing error analysis process information into the backtracking data tower; and reconstructing data rings to obtain a standard surveying and mapping data tower. The system comprises acquisition, management, data processing and display modules, the management module comprises data tower construction, management and reconstruction units, and the data processing module comprises error processing, hierarchical processing and error screening units. The method has the advantages that the whole process control from original data acquisition to standard data generation is realized by constructing multi-dimensional data towers and combining error analysis and hierarchical processing, and the data reliability and traceability are improved.

The invention discloses a three-dimensional building model checking method and device, equipment and a storage medium. Comprising the following steps: constructing a three-dimensional building model, and determining a to-be-checked floor from the three-dimensional building model; determining an error object from the to-be-checked floor, and determining a target equipment type and a target error type corresponding to the error object; and processing the error object according to the target equipment type and the target error type. By dividing the checking range according to the floors, cross-floor chaos of the checking work is avoided, the checking boundary is clear, and the pertinence and orderliness of the checking work are improved. Through determining the target equipment type and the target error type, a clear basis is provided for subsequent targeted error processing, and processing deviation caused by fuzzy problem definition is reduced. According to the method, adaptive processing modes can be adopted for different types of equipment and different error forms, blind unification of the processing methods is avoided, the error processing accuracy and efficiency are improved, and the model problem is rapidly corrected.

The invention provides a routing error processing method and device and related equipment, and relates to the technical field of communication. The method is executed by first equipment and comprises the following steps: detecting a database description (DD) message sent by second equipment under the condition that the first equipment is abnormally restarted, and regenerating and sending a second link state notification when the DD message contains a first link state notification of the first equipment; wherein the serial number of the first link state announcement is greater than the serial number of the link state announcement existing in a local database; or, sending the first target message to the second device; wherein the first target message comprises a first identifier, and the first identifier is used for indicating a delayed migration neighbor state. According to the scheme provided by the invention, the problem that the routing calculation result is wrong after the routing is restarted is solved.

The embodiment of the invention discloses an error management architecture of a vehicle-mounted controller, and the architecture comprises at least one error detection module which is used for detecting errors; the error repairing module is used for repairing errors; the error collection module is used for collecting error data; the error management module is responsible for centralized management of errors and is specifically used for acquiring error information reported by the error detection module; according to the obtained error information, a configuration table is inquired, a corresponding error processing strategy is determined, and the corresponding relation between the error information and the error processing strategy is predefined in the configuration table; when the error processing strategy contains at least one error repairing operation, controlling the error repairing module to execute the error repairing operation; and controlling the error collection module to store or report error data related to the error information. Through the error management module provided by the embodiment of the invention, the errors can be managed in a unified manner, and the portability of a management scheme is improved.

The invention discloses a government affair information verification method, system and device, relates to the technical field of information verification, and solves the technical problems that an efficient, systematic and comprehensive method is lacked, information in files of various formats is difficult to accurately extract, and the efficiency is low. By focusing on data comparison, content normal signals or content error signals can be accurately generated, the information content accuracy is effectively guaranteed, error sources are determined by integrating error contents and upper-level hierarchical contents, historical data are retrieved, historical error contents are classified, comprehensive reference is provided for error processing, the error processing efficiency and pertinence are improved, and the error processing efficiency and pertinence are improved. Special format errors and common format errors are clearly distinguished, special signals are generated according to the special formats, evaluation processing is carried out according to historical similar records and processing modes, non-special formats are directly corrected according to standards, format processing is more scientific and reasonable, and the overall verification efficiency is further improved.

The application discloses a kind of sharp angle figure spot automatic identification and intelligent processing method, device, it is related to geographic information investigation technical field, the method includes: S1 is calculated by setting threshold figure spot angle point angle, identifies and exports sharp angle position and attribute;S2 extracts figure spot position and angle point feature, and sharp angle figure spot is classified;S3 is respectively adopted cutting and merging, cutting angle backfill, area fusion or boundary adjustment strategy to different types of sharp angle figure spot, and through topological verification ensure that data correctness after processing;S4 is realized non-destructive processing by data backup, marking and process record;S5 constructs error processing and feedback mechanism and guarantees process stability.The application adopts the above-mentioned sharp angle figure spot automatic identification and intelligent processing method, device, can be processed by intelligent process, reduce human error, improve data accuracy, reduce repetitive labor, reduce artificial investment, shorten production cycle, make that production process is more smooth and efficient.

The invention provides a data processing method and device, electronic equipment, a storage medium and a program product, and is applied to the technical field of solid state hard disks. The method comprises the steps that the execution frequency of a state query module and an error processing module in a NAND gate flash memory controller driving unit is determined; obtaining a command execution result of the NAND gate flash memory controller in response to triggering of the state query module based on the first execution frequency; the state query module stores error information corresponding to the command execution result to an error processing message queue in response to the command execution result representing error; in response to triggering of the error processing module based on the second execution frequency, obtaining error information from the error processing message queue and processing the error information; updating the execution frequency of the error processing module based on the quantity of the error information in the error processing message queue; therefore, the running frequency of each driving module is adjusted through dynamic weight distribution, and an asynchronous error processing mechanism is adopted to avoid system blockage, so that the overall performance of the solid state disk is improved.

The approaches proposed here concern error handling using at least two error processing branches, each branch comprising a syndrome generator, an error detection unit, and an error correction unit. Each error processing branch is configured (i) to process a data word, wherein the data words of the error processing branches differ by at least one bit, and (ii) to provide a processed data word. Furthermore, a decision unit is provided, configured to select one of the processed data words or to execute a predefined action if an uncorrectable error is detected.

The embodiment of the application provides a processing method and device for binding segment identification, the method comprises the following steps: a network device receives a message sent by a controller, the message comprises type information and segment identification, the type information is used for indicating that the segment identification is a binding segment identification BSID; the network device performs a processing action on the BSID according to the type information. By adopting the embodiment of the application, the network device can identify the BSID, and the technical problem that an error processing result is caused when the segment identification list of the network device comprises the BSID can be solved.

The application provides a positioning error processing method and device, and belongs to the technical field of communication.The application performs signal-to-noise ratio weighting on wide-lane ambiguity of an original observation value, obtains a target observation value by using an MW combined cycle slip detection method, then performs first inter-epoch difference on the carrier phase observation value, performs second inter-epoch difference to obtain a second inter-epoch result, detects cycle slip of the target observation value based on the second inter-epoch result, performs cycle slip repair, and completes positioning error processing.Therefore, the combination of the MW combined cycle slip detection method based on signal-to-noise ratio weighting and the GF combined cycle slip detection method based on second inter-epoch difference can overcome the shortcoming that a single combination cannot completely detect possible cycle slip, and has the characteristics of high detection efficiency and strong flexibility.

A processing system identifies both the types of errors detected at a memory and the severity of the errors. The processing system keeps track of errors in error logs. The processing system employs a fault analyzer to generate, based on the error logs, a recommended management solution for one or more of the detected errors.

Aspects presented herein relate to error processing by means of at least two error processing branches, wherein each error processing branch comprises a syndrome generator, an error recognition unit, and an error correction unit. Each error processing branch is designed to: (i) process a data word, wherein the data word of the error processing branch differs in at least one bit; and (ii) providing the processed data word. The invention further relates to a determination unit which is designed to select one of the processed data words or to perform a predetermined action if an uncorrectable error is detected.

The invention discloses a real-time business abnormity alarm and regulation system based on log keyword monitoring, and relates to the field of log monitoring, and the system comprises a business control module which is used for obtaining the global control authority of each function module, connecting with a business access system, obtaining the business log file access authority, and sending the business log file access authority to the business control module; dynamically configuring the access and control authority of each function module according to the service demand; the local prediction module is used for constructing a local prediction model, predicting data capable of being filled based on the features extracted by the error reporting processing unit and the current error reporting information, generating a plurality of candidate filling data, scoring the candidate filling data, and outputting the filling data with the highest scoring result; through feature extraction and similarity analysis, introduction of a local prediction model, intelligent filling of missing data and generation of candidate filling data, the data integrity is improved through an automatic filling mode, the requirement for manual intervention is reduced, and the response time is shortened.

The invention belongs to the technical field of biological detection, and relates to a multi-level error report information display and feedback system and method with an interactive traceability function for biological detection equipment. The system comprises a level error classification module, an interactive traceability module, an associated data visualization module and a processing process recording module. The method comprises the following steps: carrying out error coding on error reporting information according to'error level-error type-timestamp '; according to equipment operation data within 30 minutes before an error occurs, a traceability link is constructed, and the traceability link supports quick query of a time axis index and a node; for the multi-level errors with association, the association relationship is displayed in a directed graph form; for high-throughput detection, sample-error mapping is carried out; according to the error levels, different feedback is triggered, and standardized processing flow guidance is provided for different error levels to guide a user to complete each step of operation; and after error processing is completed, the system automatically generates a tracing report.

The invention relates to a spaceflight product test data rapid extraction method, and solves the problems that the current product test data processing efficiency is low and errors are easy to occur. The method comprises the following specific steps: 1) parameter transmission; 2) data extraction, wherein a data extraction function executes the following steps: a) judging a test data file format; b) if the format of the test data file is'. Dbf ', respectively extracting'product numbers', 'test items' and'test results' according to database file header information; c) if the format of the test data file is'. Txt ', searching and extracting' product numbers', 'test items' and 'test results' according to text content; d) storing the extracted data in the form of a dictionary and sorting the data according to product numbers; and 3) outputting data. According to the product test data processing method developed based on the Python language, the processing efficiency and accuracy of the product test data can be effectively improved.

The invention provides a wrong account classification method and device, electronic equipment and a storage medium. Relates to the technical field of data processing. The method comprises the following steps: acquiring order establishment information, wherein the order establishment information is used for indicating the type of a current viewer; a target classification rule is determined according to the order building information, the error account detail data are processed according to the target classification rule, target data and the corresponding data size are obtained, the target data are subsets of the error account detail data, and the target data and the type of the viewer have an incidence relation; according to the data volume, an order establishment rule is determined, order establishment processing is carried out on the target data according to the order establishment rule, a target error processing order is obtained, and the target error processing order is used for summarizing the error account detail data under the same classification rule. According to the invention, the flexibility of wrong account classification can be improved.