48 results about "Exception handling" patented technology

This invention discloses an intelligent filtering and completion method and system based on a large language model and hierarchical mapping, relating to the fields of artificial intelligence and semiconductor manufacturing execution and data retrieval. The method includes initialization configuration, slot extraction and preprocessing, hierarchical mapping loading and candidate replacement, core filtering key verification and device retrieval, filter combination determination and automatic completion, missing data detection and interactive action determination, response construction and return, and exception handling steps. The system includes a front-end dialogue and interface, a large language model service module, a site-factory-region caching module, a device retrieval and verification module, a strategy engine, and a response generation module. This invention tightly integrates the natural language understanding capabilities of a large language model with back-end structured resource verification, supporting multi-turn dialogue and fine-grained automatic completion, significantly reducing invalid queries, improving retrieval hit rate and user experience, adapting to complex multi-site semiconductor manufacturing scenarios, and featuring a modular design with strong scalability.

The application provides a method for protecting all memory space addresses based on a limited number of MPU configuration areas, which comprises the following steps: setting a configuration area (X-1) and 0 as inaccessible, and dynamically accessing the configuration area (X-1) by an exception processing function, so as to realize the method for configuring different access permissions of all memory addresses, effectively solve the problem that many scattered memory address spaces cannot be protected due to the limited number of hardware MPU configuration areas in the traditional scheme, and simplify the steps of configuring memory attributes and permissions, and improve the efficiency of embedded software development.

The embodiment of the present application provides a system installation abnormality processing method, which is applied to a computer. The system installation abnormality processing method firstly acquires an assembled computer; then judges whether a system hard disk of the computer exists an installation abnormality condition through a power-on test, obtains a target system hard disk with normal installation and an interface identifier of the target system hard disk; finally matches the interface identifier of the target system hard disk with the target system hard disk in position, obtains a path corresponding to the target system hard disk, and selects the path to install a system.

An apparatus comprises processing circuitry configured to perform data processing in response to instructions executed in one of a plurality of exception levels; system registers configured to store s

This application relates to an anomaly handling method, apparatus, computer equipment, and storage medium. The method includes: determining the validity of a valve group operating command sent from the master-slave control system to a bypass circuit breaker based on the current operating state of the valve group; determining anomaly handling logic based on the validity determination result; and applying the anomaly handling logic to perform anomaly handling on the master-slave control system. This method can effectively improve the operational reliability of DC transmission systems when anomalies are detected in a timely manner.

The application discloses an AGV task compiling and script executing method based on an RDS scheduling system, and relates to the technical field of AGV scheduling. The method comprises the following steps: a task compiling unit and a script configuration unit are built in the RDS scheduling system, and a visual interface and a script language are provided as two operation modes; a running script containing a task allocation sub-script, a driving control sub-script and an exception handling sub-script is compiled through the script configuration unit; the compiled task and the running script are subjected to syntax checking and parameter matching checking, and are stored in a task database after the checking; the RDS scheduling system calls the task and the corresponding running script in the task database, generates executable instructions and sends the executable instructions to a target AGV, the AGV analyzes the task logic according to the running script, completes the task execution and feeds back the execution state. The application can realize flexible configuration of AGV tasks, high adaptation of scripts and tasks and efficient execution of complex tasks, and improves the adaptability, execution efficiency and reliability of the scheduling system.

The application discloses a terminal service handling system and method fusing a large language model and an agent architecture, and the system comprises an agent scheduling layer and a user interaction layer, an artificial intelligence capability layer, a tool service layer and a data layer connected with the agent scheduling layer respectively; the user interaction layer comprises a multi-modal input interface; the agent scheduling layer comprises a plurality of constructed agents; the artificial intelligence capability layer comprises a large language model, a multi-modal model and a vector model; the tool service layer comprises a plurality of service handling tools for executing specific service operations; and the data layer comprises a knowledge base, a service database and a vector database for storing and retrieving power service related data; the application constructs a multi-agent collaborative system to realize intelligent scheduling, task allocation, exception handling and result checking of a service process.

The application discloses an AI control automation experiment platform and method based on multi-agent cooperation, which comprises: a user interaction layer for receiving an experiment task described in natural language by a user and pushing an experiment progress and a decision process in real time; an API gateway layer for providing a RESTful API for external system calling and providing a WebSocket interface for pushing an experiment state in real time; a multi-agent cooperation layer comprising an arrangement agent, a planning agent, an execution agent, a security agent and a monitoring agent, wherein each agent realizes intelligent decision-making capability based on a large language model; a coordination and scheduling layer for being responsible for task distribution, state monitoring, parallel execution scheduling and exception handling; and an instrument driving layer for providing a unified instrument access interface, supporting analog driving, RESTful API driving, TCP / IP driving and serial port driving; wherein the arrangement agent is used for analyzing a user intention, formulating an experiment scheme, generating a task list and a milestone node; and the execution agent is used for automatically scheduling and controlling various instruments to execute experiment steps according to the experiment scheme. The application aims to realize an end-to-end process from natural language description to automatic execution, and improve experiment efficiency, safety and explainability.

This application provides an exception handling method and apparatus for user interface testing, applied in the field of automated testing technology. The method includes: responding to a target object identifier acquisition instruction, acquiring the interface structure information and current interface image of the current user interface of the device under test; performing exception detection on the original resource identifiers corresponding to each control to determine the original resource identifiers with exceptions and their corresponding exception types; and replacing the original resource identifiers with exceptions according to the exception types to obtain the replaced resource identifiers. This method can solve the problem of user interface resource identifier exceptions, ensuring the uniqueness of resource identifiers and freeing test scripts from the influence of developers' code naming rules and UI changes, thereby reducing the maintenance cost of automated testing.

This invention relates to the field of microservices and discloses an exception handling method, apparatus, device, and storage medium applied to a microservice system, including a gateway layer and at least one microservice module. The method includes: obtaining a business request from a requester through the gateway layer, and determining at least one microservice module and its corresponding interface to be invoked based on the business request; sequentially invoking the corresponding microservice modules through the interfaces, and determining whether the business requirements corresponding to the business request are met during each invocation; if not, re-propagating the exception thrown by the current microservice module through its upper-level caller, processing the exception, and obtaining an exception handling result set; and returning a success message to the requester through the gateway layer when the requirements are met. This method ensures that the location of the exception is clearly identified at each stage by processing the re-propagated exception data by each microservice module, thus improving the efficiency of developers.

Embodiments of the present application provide an exception processing method, a computing device, and a program product. The method comprises: obtaining a first log of a management system, the first log being used to record an identity of a service executed by the management system, an execution state of the service in the management system, and a calling state of an interface corresponding to the service, the interface being a communication interface between the management system and a service system, the service being initiated by the service system to the management system; determining, according to the first log, an abnormal service and a service attribute of the abnormal service, the abnormal service being a service whose execution state in the management system is execution success and whose calling state of the corresponding interface is abnormal; determining a processing strategy of the abnormal service according to the service attribute of the abnormal service; in response to determining the abnormal service, obtaining a second log corresponding to the abnormal service in the service system; and processing the abnormal service according to the processing strategy of the abnormal service and the second log. The above method can improve the reliability of the service.

The application provides an HM-SMR hard disk write operation exception processing method and device, and relates to the technical field of storage. When an abnormal sector exists in a storage block, the abnormal sector in the abnormal storage block is not directly discarded, a new storage block is not selected again, and current unwritten data in to-be-written data is stored in a CMR area in priority. In this way, the storage block can be saved, the waste of storage space can be reduced, the data written in the normal sector of the abnormal storage block can be avoided from being written to other storage blocks again, the data writing repetition can be reduced, and the write performance of the SMR hard disk can be improved. Moreover, the current unwritten data in the to-be-written data is stored in the CMR area, and the client cannot perceive it, so that the write experience of the user can be improved.

The application relates to the technical field of business processing, and provides an exception processing method and device, electronic equipment and a computer program product, the method comprising the following steps: receiving fuse information sent by a front-end system, and responding to interface business requests triggered by each business process; determining an exception business request in each interface business request according to the fuse information, blocking the exception business request, and sending the exception business request to the front-end system; receiving recovery information sent by the front-end system based on the exception business request, and performing recovery processing on the exception business request according to the recovery information. The exception processing method provided in the application embodiment accurately determines the exception business request in each interface business request according to the fuse information, blocks the exception business request, and does not pass all the exception business requests and normal business requests, so that the blocking of the normal business requests is reduced, and the business continuity of the normal business is improved.

This invention discloses a method, terminal, and readable storage medium for handling thread exceptions in an iOS system. The method includes: an SDK listener program monitoring exception reports from mobile applications; upon receiving an exception report, the listener program identifies the specific thread problem type and calls an exception handling method in the SDK corresponding to the identified thread problem type; the called exception handling method finds the instance method of the mobile application where the exception occurred; the exception handling method swaps the found instance method with a default return result and returns to the listener program; if the return fails, it uses a low-level method function provided by the runtime and swaps it with the default return result before returning to the listener program; the listener program uses the return result of the exception handling method to determine the exception location information. This invention centrally categorizes and handles program exception problems, avoiding the trouble and time wasted by developers in locating program exceptions.

This application discloses a backend computer program generation method and apparatus, relating to the field of automated programming technology. The method includes: generating interface constraints for user natural language code requirements and loading the corresponding project context to construct corresponding enhanced prompts, driving a large model to generate initial code; performing automated quality checks on the initial code; if the initial code fails the automated quality check, feeding the quality check results back to the large model for iterative correction until final code meeting the quality check requirements is generated. This solves the technical problems in related technologies where the interface definition of code generated by the large language model is poorly standardized, lacks data verification mechanisms, and has low security and efficiency in database interaction, making it impossible to effectively handle exceptions and greatly affecting code quality and reusability. This method achieves the technical effect of ensuring that the generated code meets enterprise-level quality standards in terms of database interaction, data verification, code reuse, code detection, and exception handling.

This application discloses a dual-confirmation method for the position of a high-voltage switchgear intelligent scheme, relating to the field of intelligent control technology for complete sets of power distribution network equipment. The method includes: a main control unit reading the initial multi-source heterogeneous position information of the electric mechanism to be operated in the high-voltage switchgear; issuing an action command to the target electric mechanism; and collecting the multi-source heterogeneous position information of the target electric mechanism; comparing the multi-source heterogeneous position information with the initial multi-source heterogeneous position information to verify whether the operation logic between each information source conforms to the preset operation logic; if they conform and are consistent, the operation of the target electric mechanism is determined to be successful; if they are inconsistent or the operation logic is incorrect, an exception handling process is executed; and uploading the operation result and the current multi-source heterogeneous position information of the target electric mechanism to the background system to update the overall working status of the high-voltage switchgear. This application accurately collects the position information of the electric mechanism to be operated in the high-voltage switchgear.

This invention discloses a C#-based method, system, and computer-readable storage medium for implementing the SECS / GEM communication protocol. Implemented using the C# programming language and the .NET 8 framework, the method includes the following steps: S1, Initialization: Loading the device configuration file in XML / JSON format, reading the device ID, protocol version, and communication mode parameters; initializing the protocol parser based on the .NET 8 framework and loading the corresponding version of the SECS / GEM parsing rules; simultaneously initializing the communication interface and completing the pre-configuration of the underlying communication channel; and establishing the binding relationship between device parameters, the parser, and the communication interface; S2, Connection Establishment; S3, Core Layer Processing: Based on the communication link established in S2, performing collaborative processing of the protocol parsing layer, device management layer, and communication interface layer; S4, Session Management; S5, Exception Handling. This invention has advantages such as good cross-platform compatibility, high development efficiency, high reliability of communication concurrency performance, excellent flexibility and scalability, low deployment cost, and convenient operation, maintenance, and fault diagnosis.

The present application belongs to but is not limited to the technical field of shale gas production, and particularly relates to an industrial exception processing scheduling and execution method and system, comprising: S1, based on task semantic description, parsing the production intention into an atomic application chain; S2, utilizing a workflow executor to perform dynamic scheduling according to a data dependency topology; S3, realizing a closed-loop automation of detection, recommendation, review, review and re-optimization through an intelligent agent. The present application provides a closed-loop system of a visual interface and an artificial feedback mechanism, and operation and maintenance personnel can replay, label and correct the detected exceptions on the interface. User operation records will form high-quality data samples and be fed back to a training module as a new training set, thereby constructing a complete closed-loop mechanism of 'data->model->feedback->data'. The design overcomes the disadvantages of the traditional system that the model lacks the ability of continuous adjustment at the operation level after deployment, so that the model life cycle management has self-adaptability and continuous evolution ability.

Event-driven architecture for control microservices. In some implementations, the system generates a graphical user interface including one or more screen elements for receiving input values for a resource request. Based on determining that the user has navigated away from a current screen element, the system executes, by a control microservice, control logic associated with the current screen element and compares an execution time for the control logic against a latency threshold. Based on the control logic raising an exception and the execution time exceeding the latency threshold, the system executes a detective control that asynchronously routes the resource request to an exception-handling queue. Based on the control logic raising an exception and execution time being within the latency threshold, the system executes a preventive control that blocks or corrects the one or more input values before the resource request is executed.

The application is suitable for the technical field of embedded systems, and provides a firmware upgrading method, system and program product without interrupting services, the method comprising: when an application program currently running in a device receives a firmware upgrading instruction, reading a reset entry address of a secondary boot program from a fixed starting address of the secondary boot program pre-deployed by the application program; constructing an analog stack frame in a volatile memory of the device by the application program; setting a global pointer variable by the application program, so that the global pointer variable points to the address of the analog stack frame, and executing a soft interrupt instruction to trigger the processor to enter an exception processing mode; after the processor responds to the soft interrupt instruction, jumping to a preset soft interrupt processing function, triggering an exception return mechanism of the processor by the soft interrupt processing function, so that the processor jumps to the reset entry address of the secondary boot program without resetting. The application realizes no-reset jumping in a pure software mode, avoids resetting of peripheral states and interruption of services caused by hardware resetting, guarantees continuity of key services during firmware upgrading, retains all running states of the application program, and realizes seamless inheritance of states.

The application provides a database loading exception processing method, device, equipment and medium, which can be applied to the field of electric digital data processing. The method comprises the following steps: executing a loading task for to-be-loaded data; in response to triggering an exception event during the execution of the loading task, determining an exception feedback mode according to the data amount of the to-be-loaded data remaining in the loading task, wherein the exception feedback mode indicates that an exception attribute field of the exception event is sent to a loading tool, or the event statistical quantity of the exception event is counted and the current event statistical quantity is fed back to the loading tool under the condition that a sub-loading task for a specified storage area is completed; and in the process of executing the loading task, in response to a target instruction from the loading tool, stopping the loading task, wherein the loading tool determines a target statistical quantity according to at least one of the exception attribute field and the event statistical quantity, and sends the target instruction to the database end under the condition that the target statistical quantity meets a preset exception event quantity condition.

This application discloses an exception handling method, apparatus, storage medium, and electronic device, relating to the field of data processing technology. The method includes: acquiring console logs corresponding to a web console; processing the console logs to generate call chain information, the call chain information including call chains of process nodes for each task flow; if an exception log exists in the console logs, obtaining the target call chain of the target task flow corresponding to the exception log from the call chain information; and performing exception recovery processing on the target task flow based on the target call chain. The technical solution of this application can quickly adapt to different business logics through an automated exception handling mechanism, reducing the degree of manual intervention, improving the real-time performance and accuracy of exception handling, and increasing the reliability of operation and maintenance.

The application relates to an interrupt or exception event processing method, a processor and an electronic device. The method comprises the following steps: after an interrupt or exception event is detected by a write-back unit, flushing a pipeline and triggering a hardware stack operation; based on the stack operation, a microinstruction splitting unit splits a stack microinstruction sequence of the hardware stack to obtain a register stack switching instruction while a fetch unit sequentially obtains to-be-processed instructions; the microinstruction splitting unit switches a first register stack currently used to a second register stack based on the register stack switching instruction; and sends to-be-executed instructions to an execution unit; the execution unit executes the to-be-executed instructions to perform interrupt or exception processing, and stores intermediate data and / or result data generated after execution to the second register stack. The first register stack and the second register stack are physically isolated in the processor, and a microinstruction splitting mechanism automatically triggered by hardware is combined, so that an interrupt or exception processing flow is significantly optimized.

The application discloses an execution method and device of a virtual machine exception processing instruction, equipment and a medium, and comprises the following steps: in the process of executing a program by a virtual machine, when a current function normally executes an exception monitoring instruction, an exception processing stack frame corresponding to the exception monitoring instruction is established; and an instruction address of the exception monitoring instruction is written into the established exception processing stack frame. The technical scheme of the embodiment of the application can effectively improve the virtual machine exception processing efficiency.

This application discloses a GPU scheduling observation and control method, device, and storage medium based on eBPF, relating to the GPU field. The scheme inserts eBPF probes into user-mode runtime interfaces and kernel general subsystem functions to collect behavioral data throughout the GPU's lifecycle. The collected behavioral data is encapsulated into standardized event objects, including task submission, memory management, data transfer, task completion, and exception handling events. These event objects are transmitted to the scheduler via a user-mode control program. The user-mode control program registers event interface types based on the scheduler's initialization, ensuring a one-to-one correspondence between event objects and event interfaces. Each type of event object contains several built-in policy nodes, with different policy nodes used to collect different behavioral data and implement different execution strategies. This scheme possesses event-driven capabilities, a policy plug-and-play mechanism, and a runtime feedback path to construct a closed-loop scheduling execution framework, improving resource utilization and system responsiveness.

The application discloses an abnormality processing method, an abnormality processing device, a terminal and a storage medium, and is applied to the terminal. The terminal comprises a main controller, a main relay for controlling the power supply of the main controller, a backup controller with the same function as the main controller, a main storage chip and a backup storage chip. The method comprises the following steps: in the case that the terminal is powered on and fails to write data to the main storage chip through the main controller, generating a first control signal through the backup controller and sending the first control signal to the main relay, wherein the first control signal is used for resetting the main controller; responding to the first control signal through the main relay to reset the main controller; judging whether the main controller can write data to the main storage chip, if not, switching the main storage chip to the backup storage chip through the backup controller, and accessing the backup storage chip through the main controller to read or write data.

The invention provides an exception handling method and device, a vehicle and a storage medium, and the method comprises the steps: carrying out the monitoring of a target function process in automatic driving software through a target host, and achieving the timely finding of an exceptional target node running on the target function process through a host with a management function, the recovery strategy is determined according to the abnormal type of the target node, and recovery is performed according to the recovery strategy, so that timely and accurate recovery of the target function process is realized, and then timely and accurate recovery of the automatic driving software is realized.

Embodiments of the present specification disclose a vulnerability detection method and device, a storage medium and an electronic device, wherein the method comprises: configuring a vulnerability detection kernel function and a target exception handling function in a kernel space of a vehicle operating system, starting a preset hardware access protection mechanism based on the vulnerability detection kernel function, the preset hardware access protection mechanism is used to trigger an access exception state when requesting access to a user space memory through an operating system interface in the kernel space, jumping to the vulnerability detection kernel function when monitoring the access exception state through the target exception handling function each time, recording memory access information corresponding to the access exception state through the vulnerability detection kernel function and restoring the kernel access execution process, performing double acquisition vulnerability detection processing on the operating system interface based on each memory access information, and obtaining a double acquisition vulnerability detection result.