28 results about "Software failure" patented technology

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.

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 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.

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 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.

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.

Various embodiments of the present disclosure provide a method for vehicle application. The method which may be performed by a first vehicle device includes: receiving first information from an application server. The first information indicates one or more software fault impacts related to a software fault of the first vehicle device. In accordance with an exemplary embodiment, the method further includes: transmitting an indication of the one or more software fault impacts to a second vehicle device.

The present application relates to the field of software exception detection, and discloses a system software exception tracing method, equipment, a storage medium and a program product. The system software exception tracing method provided by the present application comprises: acquiring each layer of error information at the time of system software exception, wherein each layer of error information comprises a plurality of fields of different types; based on whether an error code exists in the system software, calling a corresponding error query action, reading each field in each layer of error information, and acquiring tracing information at the time of system software exception; and based on the tracing information, determining the position of the system software exception. The method provided by the present application can directly find the position and object of the failure of each logical level from each layer of error information, and realizes accurate positioning of software failure.

The application provides a common cause failure risk analysis method and system based on a software structure coupling network, which comprises the following steps: constructing a software structure coupling network; calculating the potential risk value of the failure of each node in the software structure coupling network, layering each node based on its own role, and determining the early warning node in the software structure coupling network; determining the common cause failure analysis range; performing a subgraph slicing operation on the common cause failure analysis range to isolate and concentrate the key software components for common cause failure analysis in the software structure coupling network to obtain a common cause failure analysis subgraph; 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. The application can effectively reduce the analysis difficulty and improve the accuracy of common cause failure analysis by performing analysis through a model after narrowing the analysis range.

The application relates to the technical field of unmanned aerial vehicles, and discloses an upgrading method, device and equipment of an unmanned aerial vehicle electric governor and a medium. The method comprises the following steps: obtaining an upgrading firmware from an upgrading terminal device in the process of running a main application program; running a boot loader program, and upgrading a standby application program based on the upgrading firmware; after the upgrading is successful, terminating the running of the main application program and configuring the main application program as a new standby application program, running the upgraded standby application program and configuring the standby application program as a new main application program; before the upgrading starts or after the upgrading is successful, performing integrity verification on the main application program, running the main application program when the integrity verification is passed, running the standby application program and configuring the standby application program as a new main application program when the integrity verification is not passed, and configuring the main application program that fails the integrity verification as a new standby application program. The application embodiment can avoid the problem that the unmanned aerial vehicle electric governor cannot be started due to upgrading failure or software failure.

The invention belongs to an airborne software fault tolerance technology, and particularly relates to a software reconstruction method based on FC optical fiber network static configuration, which comprises the following steps that an FC optical fiber network is established through a switch, interconnection and intercommunication of nodes of a system are realized, and a physically connected switch F port and a node N port are set to have the same value; each node of the system loads static configuration information, confirms a network role and operates an initial network operation scheme; each communication node monitors own fault in real time and reports fault information to the network management node; after the network management node receives the fault information, a new scheme number is matched according to a preset network operation scheme table, and the scheme number is sent to the switch; the switch switches the mapping relation between the logic port and the physical port according to the scheme number; and each communication node starts the software function of the fault node on the reconstruction node according to the new scheme number.

Crash response assistance in the event of a physical server experiencing a hardware and / or software failure (i.e., crashing) while hosting Virtual Machine (VM) servers. Notification of a physical server hardware and / or software failure triggers acquisition of details about the failure. Based on the crash details, impacted VM servers are identified and validations are performed to determine whether impacted VM servers have recovered to a powered-on state or remain in a powered-off state. Once stakeholders / users and / or support groups associated with the physical server, impacted VM servers and / or applications executing on the impacted VM servers are identified and, service interruption notifications are communicated to the identified stakeholders / users and support groups, which identify at least one impacted VM server and at least one application executing on the identified VM server(s) and whether the VM server has returned to a powered-on state or remains in a powered-off state.

This application discloses a lossless self-healing method and system based on FTTR digital twins and distributed prediction. The method includes: maintaining digital twins on both the FTTR master gateway and FTTR sub-gateways, employing a synchronization mechanism combining periodic full-scale and event-triggered incremental synchronization; the FTTR sub-gateways using a lightweight fault prediction model to infer in real time, predicting software faults and reporting them; the master gateway coordinating the digital twins of the faulty gateway and its neighboring gateways to enter a virtual sandbox environment, where each twin instance runs diagnostic algorithms in parallel, reaching consensus on the root cause of the fault based on a majority voting mechanism, and using a virtual clock to accelerate the deduction of the optimal repair solution; the faulty gateway performing minimally invasive repair operations while maintaining uninterrupted data plane forwarding; and the cloud optimizing the model through federated learning and distributing it. This application achieves zero service interruption during the fault repair process, improving overall system performance and diagnostic accuracy.

The embodiment of the specification discloses a kind of bottom software fault analysis method, equipment and medium of whole vehicle controller, involve vehicle software control technical field, method includes: obtaining the open loop test environment of hardware-in-the-loop that is built in advance, to facilitate under the operation trigger instruction, communication verification is carried out, communication state is judged;When normal communication state, control whole vehicle controller is hibernation state, and in preset time interval, control the key switch of whole vehicle controller to be in the open state, to determine power-on time;Determine whether there is the fault of bottom software acquisition at power-on time, if there is fault, obtain the multiple fault messages corresponding to the fault in preset time interval;According to the fault identifier and fault signal quantity of multiple fault messages, multiple fault messages in preset time interval are integrated, and integrated fault message in preset time interval is generated;Integrated fault message is sent to CAN bus, to carry out fault analysis, determine fault information.

This invention discloses a software reliability assessment method based on code metrics, comprising the following steps: S1: Obtain project issue tickets and project commit records, mine the tracking relationship between issue tickets and commits, determine the trigger type of issue tickets, classify them into code-triggered and non-code-triggered types according to the triggering cause, and extract all project issue tickets with the trigger type being code-triggered. This invention is not limited by project runtime or the amount of fault data. It uses automated scanning tools to obtain code metrics as input during the code completion stage, predicting the software reliability level in advance, facilitating risk estimation and maintenance preparation for potential software failures at an early stage. Simultaneously, it considers the impact of code factors on reliability, analyzes the correlation between code metrics and reliability, provides developers with objective data to evaluate the quality of written code, and provides a reference for quality optimization.

The application is a kind of software fault multi-dimensional association relationship analysis method based on association rule mining.The application relates to the technical field of software service fault detection, and proposes a software fault multi-dimensional association relationship analysis method based on association rule mining in the field of software fault positioning, realizes association relationship analysis on three dimensions of inter-fault association, intra-fault feature association and software fault structure association, and calculates fault multi-dimensional association coefficients of analysis results of different dimensions to generate the final association relationship analysis result.Compared with the traditional fault association relationship analysis method based on test cases and software metrics, the application has the advantage of comprehensively considering multiple different dimensions under the software fault occurrence scene and analyzing more comprehensively; compared with the Apriori association rule mining algorithm, the application has the advantage of higher efficiency when facing large-scale data.

The embodiment of the invention relates to the technical field of information processing, and discloses a software failure mode and influence analysis method and device, a storage medium and a product, and the method comprises the steps that a software function block diagram is constructed according to software demand analysis, a software parameter diagram is constructed based on the software function block diagram, and the software parameter diagram is used for defining a function boundary of software; generating a software failure analysis chart through the software function block diagram and the software parameter diagram, and performing failure mode and influence analysis on the software; in the software failure analysis chart, software is analyzed through the use frequency, failure reasons and failure consequences of software components, and the failure and the failure reasons comprise the severity of the failure consequences and the failure controllability; based on the severity of the failure consequence, the use frequency of the software component and the failure controllability, the measure priority level of the software component is calculated and determined, the measure priority level is used for software failure mode and influence analysis, and potential risk points and weak links of software can be found.

The application discloses a heterogeneous transaction system, which can cope with serious software logic defects, realizes that when software failure of an external main system occurs and all emergency safeguard measures are invalid, the business of the main system can be smoothly switched to the heterogeneous transaction system through sending instructions, the continuity of the whole market business is ensured, and the last barrier of guaranteeing the continuity of the business is supplemented.The technical scheme is as follows: the system comprises a transaction front-end module, a market front-end module and a heterogeneous transaction core module; the transaction front-end module is used for client order placing, receiving query requests, protocol conversion and flow control; the market front-end module is used for sending market information to clients in real time through TCP and multicast and processing requests such as login and stream subscription sent by the clients; and the heterogeneous transaction core module is used for data recovery, transaction matching, market generation, query, sequencing and clocking.

The invention relates to the field of software exception detection, and discloses a system software exception tracing method and device, a storage medium and a program product. The system software exception tracing method provided by the embodiment of the invention comprises the following steps: acquiring error information of each layer when the system software is exceptional, the error information of each layer comprising a plurality of different types of fields; calling a corresponding error query action based on whether an error code exists in the system software, reading each field in each layer of error information, and obtaining tracing information when the system software is abnormal; and determining the abnormal position of the system software based on the tracing information. According to the method provided by the embodiment of the invention, the fault position and object of each logic level can be directly found from the error information of each layer, and the accurate positioning of the software fault is realized.

The invention provides a security simulation test method and device, computer equipment and a storage medium, and the method comprises the steps: analyzing a software failure mode of a tested system through a failure mode and influence analysis FMEA method and a software failure mode and influence analysis SFMEA method, and building a fault tree based on the software failure mode; constructing a fault type library based on the bottom event of the fault tree, wherein the fault type library comprises a plurality of fault injection cases; and in a simulation test environment provided by the simulation test software, performing fault injection on the tested system based on the fault injection case, monitoring a fault injection feedback result, and updating an exception handling mechanism based on the fault injection feedback result. According to the technical scheme provided by the invention, the fault injection operation can be conveniently realized, the coverage degree of the fault injection use case is ensured, and the flexible expansion of the fault injection use case is facilitated.

The embodiment of the invention provides an LCU system architecture with function safety, a control method and equipment, and is applied to the technical field of power electronics. The system architecture comprises at least two security hosts, IO board cards corresponding to the security hosts and a backboard parallel bus used for connecting the security hosts and the corresponding IO board cards. Wherein the security host comprises a processor, the IO board card is a non-intelligent board card without a processor, and the security host directly accesses and controls each input and output point location on the IO board card in an address mapping mode through the backboard parallel bus. According to the invention, the system is centralized to the security host, the IO board card is degraded into a pure and program-free logic combination circuit, the host directly controls each IO point location through the parallel bus in an address mapping mode, a processor on the IO board card is canceled, software development, protocol design and field configuration work related to the IO board card are fundamentally eliminated, the operation process is simplified, and the operation efficiency is improved. And potential software fault points are reduced.

The utility model provides a motor overvoltage protection device comprising a software crash prevention unit, an input end of which is connected with a control unit and is used for detecting abnormal information of the control unit and generating control information; and the input end of the back electromotive force protection unit is connected with the software crash prevention unit, the output end of the back electromotive force protection unit is connected with the motor driving unit, and the back electromotive force protection unit is closed according to the control information, so that a lower bridge arm MOS tube of an inverter circuit in the motor driving unit is conducted, and back electromotive force electric energy in the motor is consumed. When the software crash prevention unit detects abnormity, control information is generated, so that the back electromotive force protection unit is closed, and then the back electromotive force protection unit can convert back electromotive force electric energy into heat energy to be consumed by driving a lower bridge arm MOS tube of the inverter circuit to be conducted, so that energy accumulation is avoided; the protection function in the motor overvoltage protection device is completely realized by a hardware circuit, and the motor overvoltage protection device can still work independently even when software fails or is powered down, so that the system reliability is remarkably improved.

Crash response assistance in the event of a physical server experiencing a hardware and / or software failure (i.e., crashing) while hosting Virtual Machine (VM) servers. Notification of a physical server hardware and / or software failure triggers acquisition of details about the failure. Based on the crash details, impacted VM servers are identified and validations are performed to determine whether impacted VM servers have recovered to a powered-on state or remain in a powered-off state. Once stakeholders / users and / or support groups associated with the physical server, impacted VM servers and / or applications executing on the impacted VM servers are identified and, service interruption notifications are communicated to the identified stakeholders / users and support groups, which identify at least one impacted VM server and at least one application executing on the identified VM server(s) and whether the VM server has returned to a powered-on state or remains in a powered-off state.