60 results about "Failure management" patented technology

Methods and systems for managing data processing systems are disclosed. A data processing system may include and depend on the operation of hardware and / or software components. Inference models may be implemented to predict future system infrastructure outcomes (e.g., component failures) using information recorded in logs that reflect the operation of the components. However, the models may be complex “black boxes” and may generate critical outcome predictions for downstream consumers without explanations of how the predictions are determined, resulting in downstream consumers having low confidence in the predictions. Therefore, hidden knowledge (e.g., structured knowledge attributes) of the models may be extracted and / or used to understand the underlying processes that the models use to predict the system infrastructure outcomes. The hidden knowledge may be provided for interactively managing data processing system(s) failures in order to increase the likelihood of preventing and / or mitigating future data processing system failures.

Methods and systems for managing data processing systems are disclosed. A data processing system may include and depend on the operation of hardware and / or software components. Inference models may be implemented to predict future system infrastructure outcomes (e.g., component failures) using information recorded in logs that reflect the operation of the components. However, the models may be complex “black boxes” and may generate critical outcome predictions for downstream consumers without explanations of how the predictions are determined, resulting in downstream consumers having low confidence in the predictions. Therefore, hidden knowledge (e.g., structured knowledge attributes) of the models may be extracted and / or used to understand the underlying processes that the models use to predict the system infrastructure outcomes. The hidden knowledge may be provided for interactively managing data processing system(s) failures in order to increase the likelihood of preventing and / or mitigating future data processing system failures.

Techniques for cluster failure management in telecommunications systems are provided. In one example, a cellular network includes: a first radio unit (RU) that supports a first cell of the network, a second RU that supports a second cell, and a server system in communication with both RUs. The server system comprises a first server and a second server. A first pod acting as a distributed unit for the first RU is active on the first server and instantiated on the second server. A second pod acting as a distributed unit for the second RU is instantiated on the first server and active on the second server. A control plane executing on the first server manages execution of both pods, in response to determining that a pod is no longer active on a server, activates the pod on the other server.

Embodiments of the present disclosure provide a radio link management configuration method and apparatus, and a storage medium. The method comprises: a terminal acquires a first message transmitted by a network device, the first message comprising one or more of the following configuration information: first configuration information used for radio link quality management between the terminal and a configuration cell; and second configuration information used for beam failure management between the terminal and the configuration cell; and the terminal performs radio link management between the terminal and the configuration cell on the basis of the first configuration information and / or the second configuration information. According to the radio link management configuration method and apparatus and the storage medium provided by the embodiments of the present disclosure, when a plurality of transmission and reception points are configured for the terminal, the network device configures the first configuration information and / or the second configuration information for the terminal, and the terminal performs the radio link management on the basis of the received configuration information, thereby avoiding unnecessary data interruption.

A disclosure according to the present specification provides a method of having an access by a terminal subscribing to a first public land mobile network (PLMN). The method may comprise a step of transmitting a first request message to a network node via a base station. The base station may be a base station of a second PLMN that broadcasts system information including information about the first PLMN. The method may comprise a step of receiving, from the network node, a first response message that is a response to the first request message. The first response message may include information indicating that there is a service failure in the first PLMN. The method may comprise a step of transmitting a second request message to the second PLMN or reselecting another PLMN instead of the first PLMN, which has a service failure, on the basis of the first response message including the information.

A user equipment (UE) and a method for sidelink failure management are provided. The method includes determining that a sidelink failure event associated with a paired sidelink destination UE has occurred and transmitting, to a first cell, a sidelink failure report indicating the sidelink failure event.

The embodiment of the invention discloses a lock step method and device, a vehicle and a storage medium. The method comprises the steps that a first core obtains a first operation result and a timestamp corresponding to an input instruction sent by a second core, wherein the first operation result is a result obtained after the second core processes the input instruction; the first core obtains a second operation result corresponding to an input instruction from a preset storage area based on a timestamp, and releases the storage area to which the timestamp belongs from the preset storage area; if the first core determines that the first operation result is different from the second operation result, determining that a fault occurs, and adding one to a fault count in a fault management module of the first core; and when the fault count exceeds a count threshold value, the first core performs energy forbidding processing on the output module, and the second core performs energy forbidding processing on the output module at the same time. According to the method, the performance requirement on the second core can be reduced through the lockstep system constructed by the first core and the second core.

A method and apparatus (100) for beam failure management for a user equipment (UE) (104) are described. A beam failure instance counter (BFI_counter) is determined, that is indicative of a number of consecutive beam failure instances occurred at the UE (104), at a time instance. A location of the UE (104) is determined at the time instance. A beam failure probability factor is determined, based at least on the location of the UE (104) at the time instance and the BFI_counter. The beam failure probability factor is indicative of a probability of occurrence of a beam failure at the location of the UE (104), after a plurality of further time instances. Further, the beam failure probability factor is compared with a beam failure threshold probability (beamFailureThresholdProb). Thereafter, a beam failure is declared if the beam failure probability factor is higher than the beamFailureThresholdProb.

Methods and systems for managing data processing systems are disclosed. A data processing system may include and depend on the operation of hardware and / or software components. Inference models may be implemented to predict future system infrastructure outcomes (e.g., component failures) using information recorded in logs that reflect the operation of the components. However, the models may be complex “black boxes” and may generate critical outcome predictions for downstream consumers without explanations of how the predictions are determined, resulting in downstream consumers having low confidence in the predictions. Therefore, hidden knowledge (e.g., structured knowledge attributes) of the models may be extracted and / or used to understand the underlying processes that the models use to predict the system infrastructure outcomes. The hidden knowledge may be provided for interactively managing data processing system(s) failures in order to increase the likelihood of preventing and / or mitigating future data processing system failures.

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.

Techniques for cluster failure management in telecommunications systems are provided. In one example, a cellular network includes: a base station comprising a radio unit; a first server in communication with the radio unit having a pod performing distributed unit functions and a control plane to manage execution of the pod executing thereon; a second server in communication with the radio unit; and an orchestration server system in communication with both servers. The orchestration server system executes an orchestrator application that monitors execution of the control plane and activates a new instance of the control plane on the second server in response to determining that the control plane is no longer executing on the first server.

Techniques for cluster failure management in telecommunications systems are provided. In one example, a cellular network includes: a first radio unit (RU) that supports a first cell of the network, a second RU that supports a second cell, and a server system in communication with both RUs. The server system comprises a first server and a second server. A first pod acting as a distributed unit for the first RU is active on the first server and instantiated on the second server. A second pod acting as a distributed unit for the second RU is instantiated on the first server and active on the second server. A control plane executing on the first server manages execution of both pods, in response to determining that a pod is no longer active on a server, activates the pod on the other server.

The invention relates to a panoramic power failure early warning analysis method based on a customer perspective, and the method comprises the following steps: obtaining data from different sources, including customer feedback, equipment states and historical power failure records; extracting, converting and loading the data by using an ETL tool, and integrating and storing the data in a data warehouse; performing multi-dimensional analysis on the power failure data by using a data analysis tool, identifying key factors influencing power failure, and extracting a key feature set; feedback and appeal information of clients are obtained and fused into a feature set; key management and control objects are identified through data analysis, and priorities are distributed to different objects according to power failure influence degrees and customer demands; differentiated early warning strategies are designed for different objects, and the early warning strategies are integrated into an existing power failure management process; and developing a visual monitoring board, displaying power failure early warning information and key indexes in real time, and regularly generating a power failure early warning analysis report. The power failure management efficiency and accuracy are effectively improved.

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.

A three-dimensional stacked integrated circuit (3D SIC) having a non-volatile memory die, a volatile memory die, and a logic die. The non-volatile memory die, the volatile memory die, and the logic die are stacked. The 3D SIC is partitioned into a plurality of columns that are perpendicular to each of the stacked dies. Each column of the plurality of columns is configurable to be bypassed via configurable routes. When the configurable routes are used, functionality of a failing part of the column is re-routed to a corresponding effective part of a neighboring column.

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.

A failure management apparatus (10) is characterized by comprising: a network information acquisition unit (11) that acquires network state information from a communication apparatus (3); a network information control unit (14) that changes the network state information transmitted by the communication apparatus (3); and a failure factor analysis unit (13) that analyzes a failure factor on the basis of the acquired network state information. The failure management apparatus is characterized in that the failure factor analysis unit (13): performs a process for analyzing the failure factor in two stages composed of first stage analysis processing for selecting failure factor candidates from among failure factors capable of occurring in the communication network (2), and second stage analysis processing for determining, for each of the failure factor candidates selected in the first stage analysis processing, whether or not the failure factor has occurred; identifies the network state information acquired in each of the stages; and instructs the network information control unit (14) to acquire the identified network state information.

Devices, systems and methods for implementing beam failure management techniques at a user equipment (UE). The UE receives a timing advance command (TAC) from a currently camped cell and initiates a time advance timer (TAT). When the TAT is running the UE is in a first operating state. The first operating state indicates that the UE is in time alignment with the cell. The UE identifies that the TAT has expired. When the TAT is not running the UE is in a second operating state. The second operating state indicates that the UE is not in time alignment with the cell. The UE implements one or more beam failure management techniques based on the UE operating in the second operating state.

The present invention relates to the field of vehicle technology, and discloses a vehicle fault management method and device, the method comprising: obtaining the driving state of the vehicle; determining a fault management strategy based on the driving state, and if vehicle fault information is received, managing the vehicle fault information based on the fault management strategy. The vehicle fault management method provided by the embodiment of the present invention can determine how to manage vehicle fault information based on the vehicle driving state, thereby realizing flexible management of vehicle fault information.

The present disclosure relates to a system (108) and a method (600) for failure management in a network (106) The system (108) includes a receiving unit (210) configured to receive a request from North Bound Interface (NBI). The system (108) further includes an execution unit (212) configured to execute a workflow pertaining to the request. The system (108) further includes an initiating unit (216) configured to initiate an availability check of the workflow at a network hosted by a South Bound Interface (SBI). The system (108) further includes a pausing unit (218) configured to pause the execution of the workflow in response to unavailability of the SBI. The system (108) further includes a routing unit (220) configured to route the paused workflow pertaining to the request to a queue.

The embodiment of the invention provides a rail transit safety access control device and system.The device comprises a service interface processing unit, a maintenance interface processing unit, a first processor, a second processor and a failure management unit, safety management is carried out on a service interface and a maintenance interface, and a service interface bypass function supporting fault-oriented safety is achieved; the rail transit safety access control device is provided with a dual-processor cooperative safety guarantee structure, the safety of the rail transit safety access control device is effectively ensured, correct execution of safety protection is ensured, the safety protection problem of a train electronic control system can be effectively solved, the safety protection level of a train is greatly improved, and the maintenance difficulty of rail transit high-end equipment is reduced. And driving safety is ensured, and market prospects are wide.

Methods and systems for managing data processing systems are disclosed. A data processing system may include and depend on the operation of hardware and / or software components. Inference models may be implemented to predict future system infrastructure outcomes (e.g., component failures) using information recorded in logs that reflect the operation of the components. However, the models may be complex “black boxes” and may generate critical outcome predictions for downstream consumers without explanations of how the predictions are determined, resulting in downstream consumers having low confidence in the predictions. Therefore, hidden knowledge (e.g., structured knowledge attributes) of the models may be extracted and / or used to understand the underlying processes that the models use to predict the system infrastructure outcomes. The hidden knowledge may be provided for interactively managing data processing system(s) failures in order to increase the likelihood of preventing and / or mitigating future data processing system failures.

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.

A computerized method of fault prioritization for a distributed system of renewable energy production assets is described Fault notifications, each comprising an identification of an energy production asset with a fault and one or more fault parameters for that fault, are received. A fault prioritization is determined from the fault parameters and from at least one further parameter for each fault indicative of current projected possible operation of the renewable energy production asset affected by that fault on remediation of the fault. A method of fault remediation for a distributed system of renewable energy production assets comprising such a method of fault prioritization is also described, as is a computer system adapted to perform such a method of fault prioritization.

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.

The invention discloses a segmented routing data forwarding method and system based on address mapping. The segmented routing data forwarding method based on address mapping comprises the following steps: S1, designing a segmented routing segment identification space and defining a segment identification type of segmented routing; s2, expanding an IPv4 message header, and adding a segment routing linked list option field to support segment routing message forwarding; s3, packaging a TLV (Type Length-Value) (Type Length-Value) measured along with a path in the option of the segment routing chain table so as to support network fault management and performance measurement; s4, respectively packaging a segment routing segment routing header and an IPv4 message header outside the data message during data forwarding; and S5, carrying out segmented routing message forwarding processing. The invention aims to solve the problems that the existing network routing strategy is limited and the network performance is difficult to accurately measure.

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).