11 results about "Software fault" patented technology

The invention belongs to the field of embedded technologies, and particularly relates to a line card system starting fault positioning method and a line card system, and the method comprises the steps: configuring a starting detection code according to a system starting type, and storing the starting detection code in a detection pool; determining whether the starting source and the starting partition corresponding to the current starting detection code can enable the line card system to be started successfully or not, if not, traversing and detecting all the starting sources, and updating the starting detection code after each detection until the system is started successfully or traversing is completed; repeating the above method, and recursively detecting all the start detection codes in the detection pool; and determining a system fault type according to the updated start detection code. Through the technical scheme provided by the invention, the software fault and the hardware fault can be accurately identified and repaired in the starting stage of the line card system, the influence of the software fault and the hardware fault on the system is dynamically eliminated, the problem that the fault can be detected again after the single-disk hardware fault is replaced is solved, and the robustness and the stability of the system are improved.

The invention discloses a two-stage fault monitoring and recovering method and system for embedded software, and relates to the field of embedded systems. The system comprises a software system fault monitoring module, a software system fault recovery module, a software APPs task monitoring module, a software APPs fault monitoring module and a software APPs fault recovery module, and system-level and application-level double-layer fault detection and recovery are realized in combination with a hardware watchdog. According to the method, through periodic monitoring of a software APP and a system-level module, software APP-level recovery is firstly executed when a software APP-level fault is detected, system-level reset is triggered when recovery fails, and system-level reset is triggered when a software system-level fault is detected, so that an automatic and self-closed-loop two-level fault processing mechanism is realized. According to the method, the stability and reliability of the embedded system can be effectively improved, fine granularity level fault monitoring and recovery are carried out, the fault recovery time is shortened, and system collapse or long-term failure is prevented.

The invention discloses an embedded system console port software fault recovery method and related device.According to the scheme, a kernel module is constructed, a hot key is registered for the constructed kernel module, a corresponding kernel thread is defined and created, and the kernel thread is configured to be capable of being called and executed to a user mode through an embedded system; the hot key is set to be capable of notifying the defined kernel thread to execute a corresponding user mode program; and for the user mode, setting to be capable of providing a script recovered by a console service. According to the scheme provided by the invention, the fault recovery can be executed under the condition that the console is stuck and cannot interact.

The invention relates to the technical field of server fault diagnosis, belongs to a software and hardware information monitoring and fault diagnosis method applied to an AI server, provides a topological structure applied to software and hardware state monitoring of the AI server on one hand, and provides a software and hardware information monitoring and fault diagnosis method applied to the AI server on the other hand. According to the technical scheme, hardware key information of main board cards (a mainboard, an exchange board, a GPU board and the like) in the server is collected, and the monitoring function of hardware signals is achieved; main running state data of system software are collected, and the function of monitoring the running state of server software is achieved; a trained AI large model is embedded in the fault diagnosis module, so that the functions of quickly positioning hardware and software faults and generating fault processing suggestions are realized.

The application relates to a software fault diagnosis method for an electronic control unit, which comprises the following steps: monitoring the running state of software in the electronic control unit based on a watchdog timer; when the software fails to reset the watchdog timer within a preset timeout period, generating a timeout event and triggering a non-maskable interrupt associated with the timeout event, executing a corresponding interrupt service program to capture software context information at a fault moment; storing the software context information into a predetermined memory area whose content is maintained after the electronic control unit is reset; and reading the software context information stored in the predetermined memory area through a communication interface after the electronic control unit is reset. The application has the effect that high-value underlying software context information at a fault occurrence moment can be automatically and reliably captured without the need of physically connecting a debugger and without the need of reproducing the fault.

A computer device for predicting software errors based on artificial intelligence, wherein the device comprises the following: at least one processing unit that is operationally coupled with a non-volatile storage unit; a data acquisition unit configured to receive software development artifacts such as source code files, change histories, execution logs, compilation results, and error notes from one or more external computer systems via a communication interface; a preprocessing processor configured to normalize received software development artifacts and structurally transform them into standardized data representations by performing token separation, structural parsing, and metric alignment operations; a feature extraction processor that is operationally connected to the preprocessing processor and is configured to generate multidimensional feature representations that correspond to software complexity attributes, dependency relationships, code change frequency, and execution behavior patterns; a learning processor that is stored in non-volatile memory and executable by the processing unit, wherein the learning processor is configured to create predictive models by iterative parameter adjustment using historical feature representations and corresponding error indicators; a prediction processor configured to apply prediction models to newly generated feature representations to determine a probability value associated with the occurrence of software errors in identified software components; a feedback processing unit configured to receive confirmed error information and update the predictive models by integrating newly acquired error results into stored training data; and an output interface unit configured to output prediction results, indicating the probability of errors, affected software components, and severity estimates, to an external computing environment.

This invention provides a software fault-tolerant self-healing system and method. The software fault-tolerant self-healing system includes a file server system, a storage system, and at least two onboard standalone systems. The file server system includes at least two network interface modules and a memory, with each network interface module establishing a communication connection with one of the two onboard standalone systems. The storage system includes a radiation-resistant cache memory and at least two communication interfaces, each of which establishes a communication connection with one of the two onboard standalone systems. This invention verifies and self-heals configuration data during software reload recovery and software system runtime, thereby improving system reliability.

The invention belongs to the technical field of airborne avionics system software design, and particularly relates to a software fault-tolerant design method and system based on end-to-end monitoring. Comprising the following steps of 1, modeling and monitoring point planning aiming at a software key function data stream; 2, deploying a non-intrusive monitoring probe and a rule engine at a key node of the model; 3, performing multi-dimensional data consistency verification when the probe runs; step 4, based on the verification result and a rule engine, performing abnormity diagnosis traceability and rule matching; and 5, based on the traceability result and the matching result, executing fault-tolerant operation and system state recovery. According to the method, the problems that cross-configuration item and cross-level fault detection of existing airborne avionics system software is low in efficiency and large in resource demand are solved, and fault tolerance optimization of the software and functional stability of airborne avionics products are achieved.

The invention discloses a software fault positioning method based on program spectrum difference analysis, and the method comprises the steps: an abstraction stage of program operation: operating a target software system on a virtual machine, obtaining program operation information, and abstractly expressing the operation of software through a program spectrum; in the program operation similarity measurement stage, the similarity degree between operation containing faults and successful operation is calculated according to a measurement criterion; a difference analysis stage: comparing the spectrum of the successful operation most similar to the fault operation with the spectrum of the fault operation to generate a difference; in the source code mapping stage, the difference is mapped into a report of a source code position set where faults possibly exist; evaluating the fault positioning quality in the report; and generating a fault positioning report. By expanding the corresponding relation between the debugging instruction output branch node number and the linear address, the program spectrum difference can be efficiently mapped to the source code position, and an accurate fault positioning report can be quickly generated.

This invention discloses a hardware-in-the-loop simulation testing system and method for vehicle controller testing, belonging to the field of automotive simulation testing. It integrates a hierarchical fault simulation device, which is composed of a software-programmable fault injection unit and a physical disconnection intervention unit (BOB box), supporting composite fault simulation of automated software fault injection and manual physical disconnection intervention. The method includes: achieving one-click rapid integration of the Simulink simulation model into the VeriStand platform through specific interface replacement and compilation configuration; using TestStand to orchestrate automated test sequences; and using dedicated plugins to collaboratively control the VeriStand project and the hierarchical fault simulation device to complete the fully automated execution and evaluation of the test process. This invention significantly improves the coverage depth and scenario realism of fault testing, drastically shortening the complex testing cycle from several months to less than 72 hours, achieving safe, efficient, and comprehensive VCU hardware-in-the-loop verification.

The application relates to natural language processing technology and discloses a software fault feedback processing method, which comprises the following steps: performing entity extraction on fault feedback text to obtain first fault entities; performing text recognition on fault feedback images to obtain image text; performing entity extraction on the image text to obtain second fault entities; identifying a fault category corresponding to the fault feedback text; screening all processing method knowledge bases by using the fault category to obtain a target processing method knowledge base; screening processing method text in the target processing method knowledge base by using the first fault entities and the second fault entities to obtain target processing method text; and sending the target processing method text to a preset terminal device. The application also relates to a blockchain technology, and the processing method knowledge base can be deployed in the blockchain. The application further provides a software fault feedback processing device, an electronic device and a readable storage medium. The application can improve the accuracy of software fault feedback processing.