94 results about "Failure causes" patented technology

An estimation system includes, a memory having a machine learning model and, a processor coupled to the memory and configured to, analyze a log related to a failure to determine a failure classification of a failure content, cause the machine learning model to extract, from a predetermined technical document, a corresponding sentence corresponding to the determined failure classification, cause the machine learning model to infer a first failure cause based on the corresponding sentence extracted by the machine learning model, and output the first failure cause.

The invention relates to the technical field of fault early warning of power plant equipment, in particular to a method for generating a fault early warning model of power plant equipment. The method comprises the following steps: acquiring power plant equipment operation data, extracting operation coordination relation data, and constructing a power plant equipment operation simulation model; identifying the coupling interference increase condition of the power plant equipment based on the operation data, and detecting the dynamic suppression load increase condition of the equipment by using the operation simulation model; on the basis, the power plant multi-equipment linkage amplification effect is recognized, and the abnormal fault risk is detected; carrying out extension chain analysis, point location tracing and cause identification on the abnormal fault to form a fault correlation structure chain; constructing a fault early warning model based on fault causes, point locations and extension chain data; according to the invention, the fault early warning model of the power plant equipment is constructed, so that the power plant equipment fault identification is more accurate.

The invention provides a fault cause determination method, an electronic device, a storage medium and a program product, relates to the technical field of computers, and is used for determining an inspection sequence of a target fault problem based on historical fault data and a scene category to which the target fault problem belongs so as to remarkably improve the accuracy and processing efficiency of a fault diagnosis process. The method comprises the steps of determining a target scene category corresponding to a target fault problem in response to a received target query request; determining a plurality of target check points matched with the target scene category in the plurality of check points; each check point corresponds to one fault reason and is used for judging whether the fault problem is caused based on the fault reason corresponding to the check point; for each target check point, determining the number of times of existence of a target fault reason corresponding to the target check point in the historical fault data set; and according to a sequence of the weights from high to low, fault reason judgment is carried out based on each target check point in sequence, and a fault reason corresponding to the target fault problem is obtained.

The invention provides an exception handling method and device, a storage medium, electronic equipment and a product. The exception handling method is applied to a credit investigation system corresponding to a credit investigation mechanism, and comprises the following steps: receiving a data query request for target data sent by a data demand side, and querying the target data from a data provider according to the data query request; processing the target data returned by the data provider to obtain a processing result; if the data processing result is successful, credit investigation data obtained after the target data is processed is returned to the data demander; if the data processing result is failure, determining a failure type causing data processing failure based on an abnormal state code carried in the data processing result, and triggering an exception processing flow matched with the failure type; wherein different abnormal state codes correspond to different failure types, and the failure types comprise service side failures caused by inconformity with service rules and system side failures caused by abnormity of the credit investigation system.

The invention discloses a log analysis method and device, equipment, a medium and a program product, and relates to the technical field of software testing, and the method comprises the steps: obtaining failure log data of a failure test case, and success log data of a success test case corresponding to the failure test case; extracting target content related to the test failure in the failure log data through a preset large language model; performing semantic comparison on log data corresponding to the test steps in the failure log data and the success log data through a preset large language model to obtain difference information; analyzing the failure log data based on a target cue word through a preset large language model to obtain a failure reason of the failed test case, the target cue word being obtained by combining a first cue word and a second cue word, and generating the first cue word by embedding a target content into a first cue word template; and embedding the difference information into a second cue word template to generate a second cue word. The log analysis efficiency is improved.

The invention discloses a commutation failure detection method and device, equipment and a medium, and the method comprises the steps: carrying out the derivation of the current waveform of each converter valve, and obtaining the curvature of the current waveform of each converter valve; according to the curvature of the current waveform of each converter valve and a preset curvature threshold, determining a corresponding time vector when commutation failure occurs in each commutation condition; combining the corresponding time vectors when all commutation conditions fail, and generating a commutation failure moment matrix; and based on the commutation failure moment matrix, determining the converter valve of the converter with the commutation failure for the first time and the commutation failure moment. According to the method, the converter valve with the first commutation failure of the converter and the commutation failure time are determined through the current curvature of each converter valve, so that the commutation failure position is accurately positioned, subsequent fault processing and maintenance work is facilitated, faults in a larger range caused by the commutation failure are reduced, and the stability of a high-voltage direct-current power transmission system is improved.

The invention discloses a large language model agent system and method and related equipment. The large language model agent system comprises an input analyzer module, a strategy generation module, an execution controller module, a task result evaluation module, an reflection module and a strategy rewriting module, and a self-adaptive optimization closed loop for task execution is formed through the reflection module and the strategy rewriting module. Wherein the reflection module can generate a report containing failure reasons, and the problem of failure diagnosis is solved; the strategy rewriting module optimizes a plan according to a report, adjusts tool calling, and realizes self-learning and strategy reconstruction; the closed-loop design forms a complete cognitive process, and an input analyzer guarantees the stability of prompt. According to the system, the task completion rate, the execution stability and the scene adaptability are remarkably improved, the robustness and the error tolerance in a multi-step complex task are particularly enhanced, and the key blank of an existing language model agent system in the aspects of self-reflection and self-optimization is filled.

The invention discloses a multi-source information driven self-adaptive interface test script generation method. The method comprises the steps that S1, multi-source input fusion is carried out, one or more kinds of test information are obtained from multiple data sources, cross validation and intention alignment are carried out on the basis of semantic understanding, and multi-source test information is generated; s2, unified protocol conversion: converting the multi-source test information into framework-independent standardized intermediate representation through a general protocol conversion layer, and dynamically generating executable scripts of different test frameworks; s3, intelligent scheduling and execution: executing in a local or distributed cluster according to the task scale intelligent scheduling script, and collecting an execution data set; and S4, performing exception attribution and feedback, analyzing an execution result, performing three-dimensional analysis through a multi-source fusion exception attribution engine if the execution result fails, accurately judging that a failure reason is interface update or system Bug, and triggering a corresponding closed-loop response. According to the invention, intelligent generation, cross-framework multiplexing and adaptive maintenance of the test script are realized.

The invention provides an operation and maintenance failure analysis and diagnosis method and device, electronic equipment and a storage medium, and relates to the technical field of computers.The method comprises the steps that related texts of operation and maintenance failures are obtained, and the related texts comprise log texts and / or question texts input by a user and related to the operation and maintenance failures; matching the related text with a pre-constructed knowledge graph, and determining at least one recommended question text corresponding to the related text from the knowledge graph; and on the basis of each recommended question text, diagnosing the cause of the operation and maintenance failure. Through the related text of the operation and maintenance failure and the pre-constructed knowledge graph, accurate diagnosis and analysis of the operation and maintenance failure reason are realized, the accuracy and efficiency of diagnosis of the operation and maintenance failure reason are improved, and meanwhile, the solving efficiency of user problems and the user experience are improved.

Embodiments include methods for a user equipment (UE) configured to communicate with a wireless network via a master cell group (MCG) and a secondary cell group (SCG). Such methods include detecting a failure in the SCG and selecting a failure cause. The failure cause is selected from the following: a first set of causes associated with an earlier version of communication functionality, and a second set of causes associated with a later version of communication functionality. Such methods include sending a failure information message to a network node that provides the MCG, wherein the failure information message indicates whether the failure cause is one of the first set or one of the second set. Other embodiments include complementary methods for a network node that provides the MCG, as well as UEs and network nodes configured to perform such methods.

This application relates to an SMT (Surface Mount Technology) material delivery scheduling method and system. It includes: executing a material delivery task; when reading the identification code of a material tray fails, identifying the failure type as optical overexposure, and reporting the failure information to a central scheduling system; the central scheduling system updates the execution history information of the material delivery task based on the failure information; when the central scheduling system needs to allocate an automated guided vehicle (AGV) to the material delivery task, it queries the execution history information of the material delivery task; if the query results indicate that the material delivery task has failed, it identifies the type of AGV that caused the failure in the execution history information, excludes the AGV type that caused the failure from the available AGVs, and selects AGVs with different physical configurations for allocation. This solves the problem of code reading failure caused by optical overexposure of high-gloss material trays in the SMT production environment.

The invention relates to the technical field of logistics large models, and discloses a testing method and system based on the context of a large model in the logistics field, and the method comprises the steps: 1, preparing a single-round successful testing record of an entity and an intention which need to be generated, guaranteeing that the corresponding entity or intention is inherited and switched for assembly when a plurality of rounds of use cases are generated, the prepared single-round successful test records form a basic data set; step 2, determining parameters required for generating multiple rounds of use cases; 3, filtering and classifying single-round test records; step 4, generating a multi-round use case; 5, converting the multi-round use cases into executable tasks, and calculating a model success rate; and step 6, counting failure distribution and feeding back. The test method and system can accurately capture the performance of the model in complex interactions such as intention inheritance and switching, assist in rapidly improving the capture and understanding ability of the logistics large model for context information, and reduce intelligent dialogue errors caused by context faults.

The invention discloses a test report enhancement method and device based on historical test data and a medium, and the method comprises the steps: executing each test case corresponding to a test script to obtain an execution result, and storing the execution result in a preset execution result record; after the test task is executed every time, the number of continuous failures of the test script in the preset test period is determined; if the number of continuous failures exceeds a preset threshold value, triggering a historical failure reason identification mechanism for the test script, and generating a historical failure reason list corresponding to the test script based on the historical failure reason identification mechanism; and adding a historical failure record block in the test report configuration file, screening out a specified test script meeting a preset failure condition, and filling a historical failure reason list corresponding to the specified test script into the historical failure record block so as to jointly display the historical failure reason list and the execution result.

The present invention addresses the problem in that when AI training is performed on the basis of the work record of a low-skilled worker, erroneous inference results are obtained for a failure cause and a countermeasure plan.　A representative failure cause analysis device according to the present invention comprises: a work record storage unit that stores work records including a failure event that has occurred, a failure cause, and information about a countermeasure work for the failure event; a work record selection unit that selects, from the work records stored in the work record storage unit, a work record to be used for training a generative AI on the basis of a predetermined condition; and an inference unit that trains the generative AI for a newly occurred failure event on the basis of the work record selected by the work record selection unit, and infers a failure cause and a countermeasure work for the newly occurred failure event using the trained generative AI.

The invention belongs to the technical field of automatic compiling, and particularly discloses a multi-agent-based multi-language automatic compiling method and system, and the method comprises the steps: carrying out the project analysis and information extraction of a to-be-compiled project, and obtaining project meta-information; calling a multi-language construction knowledge base based on the project meta-information, and dynamically generating a construction command sequence adaptive to the current environment; executing construction commands in the construction command sequence, capturing standard output, standard errors and exit codes in real time, and outputting a construction result; and performing multi-dimensional verification on the construction result to obtain a comprehensive verification score, obtaining a judgment result based on the comprehensive verification score, and outputting a visual construction report based on the judgment result. According to the method and the device, the problem of construction task failure caused by environment difference, low efficiency of error diagnosis and insufficient product verification can be solved, and the success rate and the accuracy of the construction task are improved.

The invention discloses a trusted tool calling guarding closed-loop method, and belongs to the technical field of penetration testing, the trusted tool calling guarding closed-loop method helps a tool calling model to generate a more reasonable initial instruction through similarity matching, the accuracy and applicability of instruction generation are improved, an interactive instruction approval step can prevent error instruction execution from the source, and the accuracy and applicability of instruction generation are improved. According to the method, the safety and the stability of the tool execution process are guaranteed, penetration test faults caused by wrong instructions are effectively avoided, traceability and interpretability of the execution process are achieved through the instruction chain, subsequent analysis and troubleshooting of the penetration test process are facilitated, the preference instruction storage step is further set, and the method is easy to implement. The model can continuously learn expert experience, progressive optimization of parameter configuration and decision consistency enhancement are achieved, the accuracy of subsequent instruction generation is improved, on the whole, the stability, safety and reliability of a penetration system are comprehensively improved, and it is ensured that penetration testing can be efficiently and smoothly carried out.

The invention discloses a dynamic equipment fault early warning method and device for a cryogenic helium extraction production line. The method comprises the steps of obtaining a current operation data set corresponding to target moving equipment, wherein the current operation data set comprises multiple pieces of current operation data corresponding to each target parameter; inputting the plurality of current operation data corresponding to each target parameter into an early warning model to obtain an early warning result corresponding to the target moving equipment; when the early warning result is the predicted fault type corresponding to the target moving equipment, determining a predicted fault reason and a fault solution corresponding to the target moving equipment according to the predicted fault type; and outputting and displaying the predicted fault type, the predicted fault reason and the fault solution corresponding to the target moving equipment.

An analysis device specifies a cause when a test of test target software fails in a test environment that is an environment for executing a test. In the test, execution of test target software and confirmation of an execution result are executed by a test script without human intervention. Test data is data read into the test target software and the test script when the test is executed. The analysis device includes: a score calculation unit that calculates a failure cause score for each of test target software, test data, a test script, and a test environment based on the presence or absence of a change; and an estimation unit that estimates, based on a failure cause score, whether the test has failed due to test target software, test data, a test script, or a test environment.

The system according to this embodiment aims to provide advice to customers based on past failures and successes regarding their ideas. [Solution] The system according to this embodiment comprises a reception unit, an analysis unit, a specification unit, a success case specification unit, and a provision unit. The reception unit receives customer ideas. The analysis unit analyzes the ideas received by the reception unit and finds similar past failures. The specification unit analyzes the failures found by the analysis unit and identifies the causes of the failures. The success case specification unit finds success cases based on the causes of failures identified by the specification unit. The provision unit provides advice based on the success cases found by the success case specification unit.

The invention provides a method for improving a super junction power device IGSS failure, and relates to the technical field of power device super junction yield improvement. Comprising the following steps: determining that a failure parameter of a failure area is IGSS according to a wafer test or a wafer receiving test result; determining a plurality of failure reasons for the IGSS; according to the first failure reason, determining a plurality of corresponding formulated schemes, and executing the plurality of formulated schemes to determine a plurality of corresponding execution results; according to the silicon nails in the unit area, determining that the failure morphology has relevance with black silicon distribution generated by a preset etching process; obtaining an optimal etching process formula when correlation exists, and optimizing the bottom of the failed morphology according to the optimal etching process formula; by adjusting the gas ratio, the smooth and silicon-nail-free optimal morphology is obtained within the angle morphology within the preset range, and the EAS capability limit window of the optimal morphology is determined. In this way, IGSS 1V failure is improved, and the yield of mass production is greatly improved.

The present application relates to model information processing technical field, especially a kind of equipment inspection method and system based on space intelligence, its method is provided with to generate inspection queue associated chain, when generating associated chain, periodically collect several operating data or several fault data of each equipment, and record according to collection period;According to the connection relationship of each equipment, the basic associated chain corresponding to each equipment is formed. Through the grouping of equipment, the associated equipment is synchronously inspected, which avoids the problem that the traditional inspection method cannot determine the equipment failure caused by system problems, at the same time, the equipment is associated by using merging semantics, which avoids the problem of missing equipment operation or equipment failure caused by subjective judgment, thereby effectively determining the mapping relationship between equipment entity and digital model system, at the same time, by using the above method, the inspection queue of equipment can be adjusted through the connection between equipment systems, thereby effectively improving the accuracy of building equipment inspection.

The invention provides a 5G message sending failure retransmission optimization method and system, and the method comprises the steps: constructing a multi-dimensional failure reason label for a message which fails to be sent, and enabling the label to comprise a network state dimension, a user state dimension and a base station load dimension; calculating a dynamic weight based on the multi-dimensional failure reason label to obtain a failure feature vector for the message; according to the failure feature vector, adaptively selecting a retransmission strategy, including delay retransmission, fragmentation retransmission, path switching retransmission and cross-protocol degradation retransmission; a failure heat index (FHI) is used in the retransmission process, and the FHI is obtained through calculation of the failure frequency, the failure concentration ratio and the network area failure density; performing priority scheduling on the message according to the failure popularity index, and determining whether the message is immediately retransmitted or queued in a delayed manner; a 5G message is split, a progressive retransmission mechanism is adopted, a message digest and key metadata are preferentially sent, and then complete content is gradually retransmitted after network conditions are improved.

The invention provides a state detection method, a self-moving device and a storage medium. The method comprises the following steps: acquiring acceleration data and angular velocity data of the self-moving equipment; calculating a resultant acceleration based on the acceleration data; if the resultant acceleration is out of the preset interval in the plurality of preset periods, determining an attitude angle change rate of the self-moving equipment based on the angular velocity data; and if the attitude angle change rate is greater than the preset change rate in the plurality of preset periods, determining that the self-moving equipment is in a lifting state. By means of the method, the problem that detection fails due to the fact that the mechanical structural part is corroded by the environment can be effectively solved, and the problem of false alarm of lifting detection can also be effectively solved.

The application provides an ETC transaction failure judgment method and system based on inertial navigation, an inertial navigation module is introduced into a vehicle-mounted label to record continuous motion state data, geographical environment matching is performed in combination with positioning data to identify the scene type of a road section where a transaction fails, transaction process data, equipment working conditions, the inertial navigation data, the positioning data and the scene type where the transaction is located are aligned to form a failure log, a preset failure space-time correlation analysis logic framework is used for failure troubleshooting or a pre-trained failure analysis model is introduced to identify the transaction failure reason. The application establishes a complete cause-and-effect chain to analyze the ETC transaction failure reason for a driving route, a transaction failure road section, motion state parameters and an ETC transaction failure phenotype, and is suitable for failure detection and cause investigation in a multi-scene complex transaction environment.

The application discloses an elastic safety adaptive fault-tolerant control method and system for an uncertain nonlinear system, aiming at the composite problem of state jump and actuator failure caused by pulse FDI attack, proposes a pulse hybrid dynamic model, and constructs a hybrid regulator function accordingly. Through nonlinear coordinate transformation and the regulator function, the original constrained system can be converted into an unconstrained system, and the safety problem can be converted into a stability analysis problem. The actuator failure factor and deviation are estimated to offset the fault influence, an event-triggered fault-tolerant control law containing adaptive fault compensation is designed, and the communication load is reduced through an event-triggered mechanism. Lyapunov analysis proves that the system meets the safety constraint and is asymptotically stable under the double threats, effectively solves the problem of simultaneously coping with state jump, fault and hard constraint, and significantly enhances the system elasticity and fault tolerance.

The invention discloses a failure analysis method and device for an integrated circuit, electronic equipment and a readable storage medium, and the method comprises the steps: obtaining description texts, constructing text content in accordance with a preset format for each description text, and obtaining a failure analysis result according to the text content, a preset historical description text and a historical failure device according to a first corresponding relation between the historical description text and the historical failure device; determining a target failure device and a target failure reason matched with the text content according to the text content and a preset second corresponding relation between a historical failure device and a historical failure reason, and generating a failure analysis report according to the target failure device, the target failure reason and a preset analysis report template.

The application discloses a co-lay part inspection method, device, equipment and medium, and relates to the technical field of PCB design. The method comprises the following steps: acquiring a co-lay part list in a schematic diagram document and a corresponding PCB design document respectively to obtain a first part document and a second part document; performing comparison and verification on the first part document and the second part document, deleting co-lay part information that is consistent in comparison from the first part document and the second part document to obtain a first target part document and a second target part document; and generating a co-lay part inspection result based on the first target part document and the second target part document. In this way, the co-lay part can be inspected, the situation of inspection failure caused by human error and oversight or misjudgment can be avoided, and the time cost of manual inspection can be reduced.

The application discloses a kind of transverse acceleration sensor failure analysis methods for motor train unit, which comprises: testing at room temperature and low temperature, screening to obtain room temperature failure sensor sample and low temperature failure but room temperature not failure sensor sample, disassembling before testing and testing in the process of low temperature failure but room temperature not failure sensor sample, when there is bubble after disassembly, after removing potting glue, low temperature failure but room temperature not failure sensor glue sample is tested again at room temperature, low temperature and low temperature to room temperature respectively;When low temperature failure but room temperature not failure sensor glue sample passes at room temperature, fails at low temperature, but passes after recovery room temperature, open seal processing room temperature failure sensor, when there is bubble, remove potting glue again, and test room temperature failure sensor glue sample, and the failure reason is analyzed.The method can quickly and efficiently find out the deep failure cause of sensor.

The application discloses a data reading processing method, an electronic device and a storage medium, relates to the technical field of data processing, and comprises the following steps: obtaining an execution state of a target read-write command; if the execution state indicates that the target read-write command fails to be executed, determining a command re-execution number of the target read-write command according to a failure cause; judging whether to re-execute the target read-write command based on a re-execution threshold value corresponding to a target storage device, the command re-execution number of the target read-write command and historical failure information; and if the judgment result is to re-execute the target read-write command, re-executing the target read-write command based on a delay duration. The method can comprehensively judge whether the target read-write command needs to be re-executed by combining the command re-execution number of the target read-write command, the re-execution threshold value corresponding to the target storage device and the historical failure information, can reduce the invalid re-execution number as much as possible, can increase the success rate of re-execution by calculating the delay duration of re-execution, and can improve resource utilization.

The invention relates to the technical field of system engineering, in particular to a failure path model construction method based on a six-property model, which comprises the following steps of: obtaining system basic information required for constructing a failure path model according to the six-property model, a clear equipment function and each system composition unit; according to the system basic information, for each system composition unit, obtaining related information of a failure mode, including a failure reason, a failure mechanism and a failure influence, and constructing a basic framework of a failure path model based on the related information of the failure mode. According to the method, information such as failure reasons, failure mechanisms and failure influences needed by quality analysis is deeply fused, the barrier that equipment design and quality design are mutually independent is broken through, quality analysis is not an independent link after equipment design is completed any more and penetrates through the whole process of equipment design, and cooperation and unification of the equipment design and the quality design are achieved.