15 results about "Failure management" patented technology

Disclosed are systems and methods for automatically detecting faults in software applications or hardware components. The faults are characterized according to the effect, or underlying cause of the fault, or another criteria. The system automatically selects or generates a correction for the faults that is sent to the computing device where the fault began as part of correcting the fault. The fault can be characterized or the correction can be generated using machine learning technology.

This invention discloses a temporally enhanced knowledge graph-driven dialogue agent and its implementation method, belonging to the fields of artificial intelligence and natural language processing technology. The dialogue agent includes a dialogue interface, natural language understanding, a temporal knowledge graph, a temporal reasoning engine, dynamic update and failure management, and a natural language generation module. It includes designing the basic representation unit of the knowledge graph as a temporal quintuple; designing a temporal reasoning engine and a dynamic update and failure management method; designing a method for matching, verifying, and performing multi-hop reasoning of temporal information in natural language problems with temporal facts in the knowledge graph; achieving accurate parsing of temporal constraints in dialogue, real-time adaptation of dynamic knowledge, rigorous temporal logic reasoning, and continuous maintenance of contextual temporal consistency; and outputting a temporally accurate, knowledge-reliable, and logically coherent intelligent response, capable of meeting the needs of complex scenarios such as vertical industry decision support and high-reliability intelligent interaction.

Various examples disclose systems and methods related to hardware virtualization for error management. These systems and methods define a task flow for executing tasks on a first partition and a second partition. A processor can contain one or more circuits.The one or more circuits can determine that a first task of a multitude of tasks meets a criterion for execution in a redundant mode, determine a task flow for the execution of the multitude of tasks by assigning a switch before the execution of the first task, wherein the switch causes the one or more circuits to be partitioned into a first partition and a second partition, and the multitude of tasks is executed according to the task flow by executing a first instance of the first task on the first partition and a second instance of the first task on the second partition.

The utility model belongs to the technical field of soft starter, specifically relates to a simulation closed loop enhanced type soft starter, and the thyristor in power main bridge realizes the smooth rise of motor voltage and current limit under the control of simulation slope and current closed loop control unit, after the completion of soft start, the solid state bypass unit that is composed of low conducting resistance SiC MOSFET is driven to conduct, and bypass power main bridge is used to reduce operating loss, the hardware protection logic unit can carry out microsecond level fast detection to overcurrent and other faults and immediately seals the power output, realizes fast protection, and the microcontroller unit is responsible for parameter setting, starting control, bypass switching and fault management. The utility model realizes the motor soft start of starting stable, current-limiting accurate, running efficient and protection quick and reliable through the combination of simulation control and fast hardware protection.

In various examples, systems and methods are disclosed relating to hardware virtualization for fault management. Systems and methods are disclosed that determine a task flow to execute the tasks on a first partition and a second partition. A processor may include one or more circuits. The one or more circuits may determine that a first task of a plurality of tasks satisfies a criterion for execution in a redundant mode, determine a task flow, for execution of the plurality of tasks, in which a switch is assigned prior to execution of the first task, the switch to cause the one or more circuits to be partitioned into a first partition and a second partition and execute the plurality of tasks according to the task flow by executing a first instance of the first task on the first partition and a second instance of the first task on the second partition.

The invention provides a knowledge graph construction method, device and equipment for operation and maintenance health management, and the method constructs a corresponding target knowledge graph based on a fault management specification file and a maintenance management specification file. Wherein the corresponding document fields are extracted from the fault management specification file through the preset content ontology so as to determine the entity nodes in the atlas, and the specification files of different manufacturers can determine the corresponding fields based on the content ontology so as to realize quick alignment of the multi-source data. And meanwhile, on the basis of the knowledge graph constructed by the document fields extracted based on the fault management specification file, corresponding maintenance nodes are supplemented, so that the final target operation and maintenance management knowledge graph not only can position a fault mode, but also can directly determine a corresponding maintenance means, thereby providing reliable data support for operation and maintenance management, and improving the reliability of the operation and maintenance management. The processing efficiency and quality of each operation and maintenance management scene facing sudden abnormal events are improved.

This invention discloses a data acquisition method and apparatus, relating to the field of data acquisition technology. Its main purpose is to solve the problem that when an IoT platform malfunctions, the management system is unable to collect data from IoT devices. The main technical solution of this invention is as follows: Detecting whether the IoT platform is malfunctioning; if so, acquiring a target protocol packet, the target protocol packet including the device interface and control interface of the target IoT device and its subordinate devices, a data interface for acquiring data from the target IoT device and its subordinate devices, and a data acquisition protocol; establishing a connector based on the target protocol packet, the connector being used to connect to the target IoT device; and collecting target data from the target IoT device based on the connector. This invention is used for data acquisition from IoT devices.

The invention discloses a log storage failure management method and electronic equipment. The method comprises the following steps of: identifying whether a log storage failure condition exists or not based on a write-in condition (such as speed) that a log is written into a log storage space, and if the log storage failure condition exists, recovering normal write-in of the log by executing a failure processing operation. Through the scheme of the embodiment, the loss of log records can be reduced.

Methods, systems, and devices for providing remote link failure management using a remote link failure management engine of an artificial intelligence (AI) backend network system are described. Remote link failure management includes hardware-based techniques associated with AI hardware (e.g., an AI accelerator or AI System on Chip “SoC) where the techniques are employed to address malfunctions or breakdowns in components that facilitate the connectivity and communication between AI hardware and other components. The remote link failure management engine supports detecting, mitigating, and recovering from failures in the ports and links in AI hardware. In particular, remote link failure management can be provided for AI hardware based on an Artificial Intelligence Transport Layer Protocol (ATL). ATL enables adding a health bit in ATL data and ACK packets to exchange local port health status between a Sender device and a Receiver device, where the device is artificial intelligence Network Interface Controller (ANC).

The invention discloses an intelligent collecting ring health management method and system based on digital twinning, and relates to the technical field of electromechanical systems, and the method comprises the steps: obtaining a twinning model based on digital twinning; obtaining twinborn simulation parameters, and obtaining a fault evolution link based on a fault simulation result; acquiring a fault management method by using a link analysis method; health management is carried out on the intelligent collector ring based on the latest fault management method corresponding to the real-time management fault; the intelligent collecting ring health management method is used for solving the problems that in an existing intelligent collecting ring health management method, fault chains caused by faults cannot be analyzed, hidden dangers caused by the faults cannot be effectively predicted and managed in a targeted mode, only the faults can be passively monitored and remedied afterwards, and the faults cannot be actively predicted; and therefore, the problems of false alarm and missing alarm of early warning can be solved.

This document discloses a method and a system for managing sensor failures in a vehicle. The method comprises detecting the failure of a sensor in the vehicle. The method then comprises receiving an aggregated model weight from a server based on the sensor failure detection. Finally, the method comprises updating at least one model weight of a training model of the vehicle using the received aggregated model weight for managing the sensor failure in the vehicle.

The application discloses an IGBT thermal failure management method, a voltage regulating circuit and a power utilization device. The IGBT thermal failure management method comprises the following steps: collecting real-time operation parameters of an IGBT, and calculating total transient loss of the IGBT according to the real-time operation parameters; acquiring a reference thermal resistance of the IGBT, and calculating a real-time thermal resistance of the IGBT according to historical operation parameters of the IGBT; collecting a real-time shell temperature of the IGBT, and calculating a real-time junction temperature of the IGBT according to the real-time shell temperature, the total transient loss and the real-time thermal resistance; and triggering an IGBT protection strategy when the real-time junction temperature of the IGBT reaches a threshold temperature. Compared with the prior art, the application can reduce the junction temperature estimation error of the IGBT and ensure the system operation reliability through the double-source coupling of the instantaneous characteristics and the real-time shell temperature and the dynamic thermal resistance compensation algorithm.

A failure management device includes: an information collection unit configured to collect failure information which is information about a failure of devices or instruments loaded in a vehicle; a notification unit configured to output a failure notice notifying occurrence of the failure inside the vehicle; and an instruction unit configured to instruct the notification unit whether or not to output the failure notice when the failure of one of the devices or the instruments is found based on the failure information, and the instruction unit prohibits the notification unit from outputting the failure notice when the device or the instrument in which the failure is found is not involved in execution of an option function for which the execution is permitted, based on management information indicating whether or not the execution of the option function is permitted for each of the option functions in the vehicle.

This invention discloses a cloud-edge integrated power outage management method and system. An edge controller is installed at the power plant site to collect operating status parameters of on-site equipment and auxiliary start-up system equipment, enabling rapid anomaly detection and failure rate calculation. A digital twin module is deployed on the cloud server in the control center. Based on the operating equipment and steps included in the power outage operation in the plant scheduling plan, combined with the real-time operating status parameters of on-site equipment and on-duty personnel information during the simulated power outage operation, the power outage operation is simulated and rehearsed. The probability of a plant-wide power outage risk is determined based on the simulation results, thereby managing and controlling the power outage operation. By integrating multi-dimensional risk factors such as equipment failure rate, failure rate of operation-related equipment, personnel error rate, and the health status of auxiliary start-up system equipment, dynamic judgment is achieved, enabling more accurate and realistic prediction of power plant outage risks and reducing the number of plant-wide power outages.

Methods, systems, and devices for providing remote link failure management using a remote link failure management engine of an artificial intelligence (AI) backend network system are described. Remote link failure management includes hardware-based techniques associated with AI hardware (e.g., an AI accelerator or AI System on Chip "SoC) where the techniques are employed to address malfunctions or breakdowns in components that facilitate the connectivity and communication between AI hardware and other components. The remote link failure management engine supports detecting, mitigating, and recovering from failures in the ports and links in AI hardware. In particular, remote link failure management can be provided for AI hardware based on an Artificial Intelligence Transport Layer Protocol (ATL). ATL enables adding a health bit in ATL data and ACK packets to exchange local port health status between a Sender device and a Receiver device, where the device is artificial intelligence Network Interface Controller (ANC).