67 results about "Software failure" patented technology

Systems and methods for troubleshooting software within a network microservices architecture are provided. A method, according to one implementation, includes the step of obtaining log information from a plurality of customer level devices and microservices in a network. The method also includes the step of converting the log information into data having a common format. Also, the method includes analyzing the data to determine issues with respect to the microservices. The method further includes the step of publishing an accessible notice to allow software troubleshooting of the issues with respect to the microservices.

Network optimization and repair using Artificial Intelligence (AI) / Machine Learning (ML) is disclosed. More specifically, AI / ML models are trained to predict hardware and software failures of Radio Access Network (RAN) components by analyzing telemetry data and / or trained to extend battery life during power failures. The telemetry data may include performance logs from performance monitors, fault logs from fault monitors, and traffic information for traffic flowing through the RAN. Hardware specifications of the RAN equipment, operating temperatures, power consumption, etc. may also be stored and monitored. This data may be monitored across the infrastructure, platform, and application layers. One or more rApps in a Non-Real Time RAN Intelligent Controller (NRT RIC) may use the AI / ML models to predict failures, and potentially, provide an indication of an estimated time when failure is predicted to occur.

The invention discloses a vehicle diagnosis method and device and relates to the technical field of vehicles. The method can solve the problem that the software fault, the performance reliability problem and the like of the domain controller in the vehicle are difficult to diagnose by reading fault codes, data streams and the like, and realizes the diagnosis of the domain controller in the vehicle. The method is applied to a vehicle including at least one component including at least one domain controller therein. The method comprises the steps that a first domain controller in at least one domain controller receives a diagnosis instruction from a server, the diagnosis instruction is used for initiating diagnosis of a to-be-diagnosed component, and the to-be-diagnosed component is one or more of at least one component contained in a vehicle. And then the first domain controller obtains to-be-diagnosed data of the to-be-diagnosed part according to the diagnosis instruction, wherein the to-be-diagnosed data is used for diagnosing the to-be-diagnosed part.

The invention relates to the technical field of network communication, in particular to an intelligent visual edge gateway control method based on a 5G network. According to the method, real-time transmission and timely control of edge gateway information are achieved through the 5G network, meanwhile, the operation state of the edge gateway is visually and comprehensively mastered through the information, timely finding and processing of problems are facilitated, the visual quality and the data transmission quality are ensured along with channel communication quality evaluation and analysis of the 5G network, and the service life of the edge gateway is prolonged. The resource allocation is dynamically adjusted in an information progressive mode, the transmission timeliness of priority data is guaranteed during channel load fluctuation, the problem that a fixed scheduling strategy is poor in adaptability is solved, meanwhile, the operation state information of the edge gateway is further analyzed, and the service life of the edge gateway is prolonged. According to the method, reasonable fault management can be carried out according to hardware or software faults of the edge gateway, namely, the hardware faults and the software faults are analyzed, so that the faults of the edge gateway can be found and processed in time, manual intervention is reduced, and the reliability of the system is improved.

The techniques described herein provide a risk assessment framework that enhances the functionality of software deployment systems in cloud-based platforms. Generally described, the present techniques evaluate and consolidate various risk scores to classify a given computing cluster within a software deployment strategy. In various examples, a deployment system collects node-level feature data from the computing cluster to generate a dataset to train a prediction model to calculate constituent risk scores. In another aspect, the deployment system aggregates constituent risk scores to determine an overall risk of software failure. Likewise, the deployment system considers diverse criteria such as virtual machine size and virtual machine density to determine an overall impact of software deployment failure. The deployment system then calculates a composite risk score for the computing cluster as a function of the risk of software deployment failure and the impact of software deployment failure.

The invention discloses an intelligent log analysis and fault diagnosis system for distributed software, and relates to the technical field of software fault diagnosis, and the system comprises a data acquisition module which is used for acquiring a business log flow and an arrangement event flow, each log in the business log flow comprises a service name and a first timestamp, and the first timestamp is a first timestamp; the arrangement event flow comprises discrete events of all containers under the corresponding service names and operation nodes deployed by all the containers. According to the method, fault analysis is changed from traditional instantaneous discrete static deployment fault analysis to dynamic continuous analysis through the generated enhanced trajectory, and the real trajectory of the service request in the execution process can be accurately restored, so that a series of novel hidden faults directly caused by container dynamics can be detected; and the fault detection accuracy is effectively improved.

The invention discloses a software upgrading method and device for an SoC chip, equipment and a storage medium. In the invention, the SoC chip comprises a controller, a first memory and a second memory. If an external host of the SoC chip detects that the SoC chip has a software fault and software data in the off-chip storage medium is abnormal data, the controller can read the upgrading program from the second memory and execute the upgrading program to complete an initialization process of online upgrading, and in this way, the controller can complete the online upgrading process when the data of the off-chip storage medium is abnormal. The software data in the off-chip storage medium is updated online by running the upgrading program, responding to the online upgrading instruction sent by the external host and utilizing the upgrading data packet written into the first storage by the external host, so that the SoC chip is ensured to return to normal, and the service life of the SoC chip is prolonged.

Techniques are provided to allow less-than-perfect machines to remotely perform more complex operations. Operations that can be reliably performed by machines that have experienced hardware and / or software errors are referred to herein as Remote Direct Memory Operations (RDMO). Unlike RDMA, which typically involves very simple operations such as retrieving a single value from the memory of a remote machine, RDMO can be arbitrarily complex. The techniques described herein can help applications continue running without interruption when there are software failures or minor errors on the remote system with which the application interacts.

The invention relates to the technical field of computer networks, and discloses a distributed node management method, which comprises the following steps: step I, node discovery and registration: node discovery and registration introduces a block chain technology to assist node registration; according to the distributed node management method, a block chain technology is introduced on the basis of traditional registration, information is encrypted and stored in a block chain when a new node is registered, an intelligent contract is utilized to automatically verify identity and allocate resources, and node operation, resource use and task execution states are monitored by means of a heartbeat mechanism, a system tool and third-party software. A machine learning algorithm is applied, future node states are predicted according to historical data, potential problems are perceived in advance, resource scheduling is optimized, a self-healing mechanism is constructed, nodes automatically diagnose faults, software faults are automatically repaired, hardware faults are reported, a standby module is started, and recovery time is shortened. Therefore, the management and monitoring efficiency and the fault processing capability of the node can be improved.

The present application discloses a vehicle upgrade method, device, and vehicle. The method includes: receiving a synchronization instruction, which is generated when the software of each control unit to be upgraded in a control unit group to be upgraded is successfully upgraded, and the software of each control unit to be upgraded is upgraded in the upgrade partition of the control unit to be upgraded; according to the synchronization instruction, controlling the software of each control unit to be upgraded to run in its own upgrade partition; obtaining the upgraded software corresponding to the control unit to be upgraded from the upgrade partition of each control unit to be upgraded; and synchronizing the upgraded software corresponding to each control unit to be upgraded to its own running partition. According to the method of the present application, the software of the running partition and the upgrade partition in the control unit to be upgraded are the same, so that when a software failure occurs in one partition, the software can run normally in another partition, so that the vehicle can continue to run normally, thereby improving the safety of the vehicle.

A central system coupled to a subsystem receives a fault indication associated with a fault in one or more circuits of the subsystem from a local fault collection and control (FCCS) of the subsystem when a software recovery of the fault fails. Based on the received fault indication, the local FCCS and a central FCCS of a central system is masked from additional fault indications from the one or more circuits. The central system then signals the reset of the one or more circuits of the subsystem after the masking of the additional fault indications, wherein the one or more circuits is reset based on the signaling and the additional faults are masked from one or more of the local FCCS and central FCCS during the reset.

The present invention discloses a software fault injection method, device, and related media for an avionics system. The method includes initializing a fault database to obtain fault injection signal data; using the fault injection signal data to edit and generate a fault injection operation flow; configuring the effectiveness rules of the fault injection signal group corresponding to the fault injection target platform to obtain a fault injection control flow; sending a fault signal subscription request to the fault injection target platform and receiving the fault signal; using a fault parser to parse the fault signal to obtain fault parsing data; and injecting the fault injection operation flow into the fault injection target platform based on the fault parsing data using the fault injection control flow. The present invention injects the fault injection operation flow into the fault injection target platform based on the parsed fault parsing data using the fault injection control flow. In this way, the method can flexibly adapt to different hardware platforms and comprehensively cover software and hardware signals, greatly improving the efficiency and accuracy of fault injection testing.

This invention discloses a log intelligent analysis and fault diagnosis system for distributed software, relating to the field of software fault diagnosis technology. It includes a data acquisition module for acquiring business log streams and orchestration event streams. Each log entry in the business log stream includes a service name and a first timestamp. The orchestration event stream includes discrete events for each container under the corresponding service name and the running nodes deployed by each container. This invention transforms fault analysis from traditional instantaneous, discrete, static deployment fault analysis to dynamic, continuous analysis through the generated enhanced trajectory. It can accurately reconstruct the true trajectory of business requests during execution, thereby detecting a series of novel, hidden faults directly caused by container dynamism, effectively improving the accuracy of fault detection.

The invention relates to a fault processing method and device for a storage chip. The method comprises the following steps: monitoring the running state of a storage chip in real time; when it is detected that reading and writing of the storage chip are abnormal, fault events are recognized, and the fault events comprise software faults and hardware faults; when the fault event is a hardware fault, executing a block fault recovery process to recover the accessibility of a storage chip; and when the fault event is a software fault, executing a file system fault recovery process to recover the accessibility of the storage chip. According to the fault processing method and device for the storage chip, the fault of the storage chip can be monitored in real time and reported for processing, when the fault is detected, the driving module of the storage equipment is reloaded and initialized by resetting and de-resetting the storage chip, the equipment does not need to be restarted by the whole machine, and the fault processing efficiency is improved. And the influence on the business process is minimum.

The invention relates to a software early warning method and device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring a plurality of pieces of software on a target server and historical log data of each piece of software; training a fault analysis model of each piece of software according to the historical log data; obtaining state data of the target server and operation logs of the software, and determining a server security index of the target server according to the state data; when the server security index does not meet the first preset condition, generating a first early warning signal; under the condition that the security index meets a first preset condition, analyzing a running log of the corresponding software by utilizing each fault analysis model to obtain a software security index; and generating a second early warning signal under the condition that the software security index does not meet a second preset condition. By adopting the method, the running stability and safety of the server can be effectively improved, and the accidental shutdown risk caused by software faults is reduced.

The embodiment of the invention provides a software failure information recording method and device, electronic equipment and a storage medium, and relates to the technical field of computers.A reset triggering module is closed in response to software failure, and the reset triggering module is used for triggering a first controller to reset under the condition that a preset signal from software is not received and time is out; according to the method, the failure information when the software fails is stored in the nonvolatile storage space, and the reset triggering module is closed, so that the situation that the failure information cannot be recorded due to the fact that the reset triggering module triggers the first controller to reset when the failure information is not completely recorded due to overtime of the reset triggering module is avoided; therefore, the recording effectiveness of the failure information can be improved.

The application discloses a safety-critical software failure mode identification method based on a large language model, comprising the following steps: constructing a safety-critical field knowledge base, injecting the safety-critical field knowledge base into an initial large language model through a P-Tuning v2 technology to obtain a large language model after first-time fine-tuning; constructing an instruction optimization data set, and performing multi-round iterative training on the large language model after first-time fine-tuning by using the P-Tuning v2 technology to obtain a large language model after second-time fine-tuning; using the large language model after second-time fine-tuning to predict failure modes of industrial failure text data, and based on the failure text data of the prediction failure, constructing a thinking chain data set, and using the thinking chain data set to continue training the large language model after second-time fine-tuning to obtain a safety-critical field specific large language model with ideal final effect; inputting failure text data of a failure mode to be identified into the safety-critical field specific large language model to obtain a failure mode identification result.

The invention provides a common cause failure risk analysis method and system based on a software structure coupling network. The method comprises the following steps: constructing the software structure coupling network; calculating a potential risk value of failure of each node in the software structure coupling network, layering each node based on the own effect of each node, and determining an early warning node in the software structure coupling network; determining a common cause failure analysis range; executing subgraph slicing operation on the common cause failure analysis range so as to isolate and concentrate key software components for common cause failure analysis in the software structure coupling network to obtain common cause failure analysis subgraphs; and constructing a software fault tree model based on the common cause failure analysis subgraph, and performing software common cause failure analysis based on the software fault tree model to obtain a software common cause failure defense strategy list. According to the method, analysis is carried out through the model after the analysis range is narrowed, the analysis difficulty can be effectively reduced, and the accuracy of common cause failure analysis can be improved.

This application provides a server maintenance processing method, apparatus, device, medium, and program product, relating to the field of server operation and maintenance technology, and applied to a maintenance card device connected to a server. The method includes: receiving a server connection signal and detecting the server's operating status; if the server's operating status is normal, performing automatic setup operations on the server; if the server's operating status is faulty, detecting the cause of the fault; wherein the cause of the fault includes firmware fault, software fault, and driver fault; according to the cause of the fault, calling the corresponding preset maintenance program to perform automatic maintenance operations on the server; detecting that the server's operating status changes from faulty to normal, and performing automatic setup operations on the server; performing automatic setup and automatic maintenance operations on the server through a plug-and-play maintenance card device improves the efficiency of server deployment and maintenance, reduces operational difficulty and cost, and is convenient to use.

The application belongs to the technical field of software fault data identification, and discloses a software fault number detection method, a detection system, a storage medium and an application. In the established software fault detection or repair model, the total number of faults is taken as a parameter of the cumulative detected fault number m(t), m(t) is compared with the cumulative detected fault number in the real failure data set (fitting and prediction), so as to indirectly indicate the accuracy of the total number of faults. On the basis of a large number of early-stage analyses, the application mainly focuses on the influence of a(t) on the SRGM model, mainly analyzes the modeling and evaluation of a(t), observes the changes in reliability caused by different a(t) through the establishment of a unified imperfect debugging model, and then measures the performance difference of various a(t). The application has the disturbance influence of different forms of a(t) describing the new fault introduction ability on the SRGM model.

The present invention provides a fault recovery method and system for a quadruped robot based on virtualization, belonging to the field of robot control. The fault recovery system includes a Linux virtual machine and a controller monitoring system. A quadruped robot controller runs on the virtual machine. Whenever the MPC runs a fixed number of iterations, the controller records the running state information of the robot, packages it with a magic number, and sends it to the controller monitoring system through shared memory. The controller monitoring system sets a timer to check heartbeat packets. When an abnormality is detected, it triggers the Linux virtual machine restart mechanism. After the Linux virtual machine restarts, it synchronizes the latest stored running state information of the robot back to the controller, enabling the quadruped robot to resume the state corresponding to the latest running state information. The present invention improves the resistance of the quadruped robot to software faults, enabling the robot to achieve self-awareness without human intervention in case of system faults during operation.

This invention provides a dynamic refresh reliability protection method for spacecraft software. Based on a multi-core processor, a dedicated monitoring and refresh processor is designed to dynamically monitor and refresh the software's runtime program area. This reduces the probability of the program area being overwritten by single-event events and erroneous data, without affecting the execution of original functions, while also reducing the possibility of software failure. This invention expands the reliability protection schemes related to aerospace multi-core processors and has significant value for the development of integrated control and health management software in the spacecraft field. This invention improves the problems of low reliability, susceptibility to single-event events, and difficulty in fault location of traditional spacecraft CPU software. It realizes health management functions, significantly improving the reliability of software products. By designing a dedicated dynamic monitoring and refresh processor in a multi-core processor architecture, this invention achieves parallel computing through multiple cores without interrupting the original software's running state, saving additional time consumption and improving software performance.

The present invention discloses a three-axis gear selection and shifting control method and system for a transmission with virtual gear selection, comprising the following steps: acquiring displacement signals of each gear engaging shaft; acquiring a virtual gear selection displacement signal and a virtual gear engaging displacement signal based on the acquired displacement signals and in combination with the current control state of the transmission; acquiring a gear engaging solenoid valve control signal based on the acquired virtual gear engaging displacement signal and the virtual gear selection displacement signal and in combination with the current control state of the transmission; and transmitting the gear engaging solenoid valve control signal to the corresponding gear engaging shaft. This method enables rapid development of control models and reduces the workload of model development. The method is highly applicable. Even if the hardware structure of the transmission operating system changes, the method proposed by the present invention allows the main body of the transmission control software model to remain unchanged, shortening the software development cycle, reducing the workload of software development and testing, minimizing software failures caused by redevelopment, and lowering software management costs.

The invention discloses a vehicle-mounted software upgrading method and device, equipment and a medium. The method comprises the following steps: receiving an upgrading task of a target vehicle type issued by a cloud; respectively updating script files in the communication master node and the communication slave node based on the script file information to obtain a first script file and a second script file; obtaining vehicle identification information from a vehicle-mounted client corresponding to the target vehicle model through a script engine based on the first script file, and reporting the vehicle identification information to the cloud; downloading a corresponding software upgrade package according to the first script file and the software package downloading information; and issuing the software upgrading package, the first script file and the second script file to the vehicle-mounted client so as to control the vehicle-mounted software upgrading operation of the vehicle-mounted client based on the first script file and the second script file. According to the technical scheme, the OTA software logic is optimized or the OTA software fault is repaired through the script file, the risk of OTA function failure caused by the software fault is avoided, and the optimization and repair timeliness is improved.

The invention particularly provides an application software fault detection method based on a security platform. The method comprises the steps that conventional detection is conducted on application software, a conventional detection result is obtained, and application software fault warning is selectively executed based on the conventional detection result; the security platform controls the application software to execute a seven-dimensional active detection operation to obtain a detection result of each dimension, and the seven dimensions of the seven-dimensional active detection operation are an execution sequence, execution integrity, logical operation, response speed, exception handling, a resource occupation state and a software self-detection result in sequence; and selectively executing application software fault warning according to the detection result of each dimension. According to the method, the safety of the application software is supervised and checked, a closed loop of a safety function can be formed from a safety platform to the application software, and a full-chain proof including the application software is provided for the safety function, so that the safety level of operation of the whole system is improved.

The invention relates to a fault processing method, device, system and equipment, and relates to the technical field of vehicles, and the method comprises the steps: obtaining the fault feature information of a fault event generated by a vehicle controller; the fault event comprises a software fault event or a chip fault event; comparing the fault feature information of the fault event with fault feature information in each fault processing configuration item; under the condition that the fault feature information of the fault event is consistent with the fault feature information in a target fault processing configuration item, determining that the fault type of the fault event is the fault type in the target fault processing configuration item; and storing fault data related to the fault event. Therefore, faults can be efficiently and accurately checked and solved.

This invention discloses a software fault location method based on network spectrum, comprising the following steps: collecting the source code of the software under test; establishing a software network based on reverse engineering; designing and executing software test cases, recording their coverage information and execution results, and establishing a module-level program spectrum; establishing a network spectrum containing program spectrum information based on the software network established by expanding the program spectrum; reducing the size of the network spectrum based on path similarity analysis to achieve feature dimensionality reduction; constructing a feature matrix and an adjacency matrix representing the software network structure based on the reduced network spectrum; and using a graph neural network to locate software faults based on the adjacency matrix and the feature matrix. This invention can complete the construction of a software fault location technology based on network spectrum. This invention can help software testers accelerate the location of software faults during testing, thereby updating the software and improving its reliability, and has practical value.

The invention provides a software security analysis method based on fault data, which comprises the following steps of: S1, confirming software demand elements, classifying the software demand elements, and establishing a software fault information base table; s2, matching the software demand elements with the software fault data, and identifying a possible software fault mode; s3, judging the matched fault data; s4, using FMECA-FTA to analyze the influence, the reason and the improvement measure of the fault mode; s5, extracting software analysis and design criteria according to the fault mode; s6, improving analysis and design of software requirements according to analysis and design criteria; s7, judging whether matching analysis of each demand element of the software and the fault data is completed or not; and S8, sorting and storing the demand elements and the corresponding fault data. According to the method, the FRACAS is combined to collect and organize existing software faults to form a standardized fault data information base, and data in the fault data information base is perfected and supplemented.

Systems and methods are disclosed herein for monitoring, detecting, and mitigating hardware and software failures. An error detection module monitors the execution of software processes and detects failures of the monitored processes. The error detection module may monitor reboot events and correlate reboot events with failures of the monitored software processes. If a monitored process fails, the error detection module may log the failure and its cause. If the same process has failed numerous times, causing the user device to experience a reboot loop, remedial action may be taken based on the cause of the failure.

The invention discloses an unmanned aerial vehicle flight control system high-concurrency testing method, and belongs to the technical field of high-concurrency testing, and the method comprises the steps: building a multi-dimensional load model covering a sensor, a control instruction and communication based on a test target and a performance index. The load intensity is dynamically increased or decreased according to a formula, the resource state and the load adjustment history are displayed in real time in combination with an instrument panel, it is ensured that the load adjustment process is traceable, visualized and self-adaptively adjusted, test failure caused by overload collapse or resource idleness of the system is avoided, the test efficiency is improved, and the test cost is reduced. Typical fault scenes such as hardware faults, communication faults and software faults are injected, software and hardware faults are simulated through combination of a fault injection framework and electromagnetic interference equipment, fault injection time, fault injection types and system response behaviors are recorded, the fault-tolerant capability of the flight control system in complex fault scenes is comprehensively verified, and potential risks are exposed in advance.