122 results about "Recovery techniques" patented technology

Techniques are described for efficient replication and maintaining snapshot data consistency during file storage replication between file systems in different cloud infrastructure regions. In certain embodiments, provenance IDs are used to efficiently identify a starting point (e.g., a base snapshot) for a cross-region replication process, conserve cloud resources while reducing network and IO traffic.

The invention relates to a power distribution network two-stage recovery method based on an electric vehicle and mobile energy storage, and belongs to the technical field of disaster prevention and reduction and emergency recovery of a power system. According to the technical scheme, the method is divided into two stages of recovery: stage 1 pre-disaster pre-configuration and stage 2 post-disaster collaborative recovery; establishing a power distribution network line vulnerability evaluation model, and generating a fault scene in extreme weather based on a wind speed-fault probability curve; constructing a charging station and maintenance station pre-configuration optimization model, and determining the optimal site selection in the traffic network by adopting integer nonlinear programming; establishing a post-disaster recovery mixed integer programming model, coordinating and dispatching the electric vehicle, the mobile energy storage system and the maintenance team, and realizing collaborative optimization of load recovery and line repair; and designing a traffic network and power distribution network coupling mechanism, quantifying a system toughness index and optimizing a resource scheduling strategy. Through multi-resource cooperative scheduling, the post-disaster recovery capability of the power distribution network is remarkably improved, and an innovative solution is provided for improving the toughness of the power distribution network in extreme weather.

Techniques to adapt an ion implant model during maintenance recovery are described. A method includes receiving setting parameters for an ion implanter, the setting parameters includes a set of control parameters corresponding to a set of process parameters for the ion implanter, predicting a preventative maintenance (PM) recovery time for a PM recovery phase of the ion implanter based on the setting parameters, the PM recovery time representing a time interval between a start time of the PM recovery phase and an end time of the PM recovery phase, using a machine learning model, and presenting the recovery time on a graphical user interface (GUI) of an electronic device. Other embodiments are described and claimed.

The invention discloses a link state self-recovery system based on server nodes, and relates to the technical field of link recovery, each server node locally measures an initial packet loss rate p0 of a directly connected link, obtains a packet loss rate vector according to continuous detection and calculates a degradation depth vector D and a peak degradation dmax; constructing a topological degradation matrix M through peer-to-peer broadcasting and versioning aggregation; mapping the matrix M into a residual capacity directed graph, executing minimum cut-maximum flow analysis in parallel in a distributed manner, enumerating a limited hop count path, determining a bottleneck capacity along the path, and converting a recoverable bandwidth according to a service level coefficient; a path subset meeting a service bandwidth threshold beta is locked by adopting a greedy least node selection strategy, a path remapping rule set C is generated, and link self-recovery is completed through transactional atom issuing and local forwarding table hot replacement; according to the method, a central controller or additional monitoring hardware is not needed, and millisecond-level, verifiable and rollback link recovery can be realized in a distributed environment.

The invention discloses a data reconstruction method and device, electronic equipment and a storage medium, and relates to the technical field of data storage and recovery, and the data reconstruction method comprises the steps that under the condition that a to-be-reconstructed disk exists in a distributed storage system, the redundancy of the to-be-reconstructed disk is determined based on state data of the to-be-reconstructed disk; determining a target redundancy level corresponding to the redundancy of the to-be-reconstructed disk from a plurality of preset redundancy levels; different redundancy levels correspond to different erasure code types; the erasure code types corresponding to different redundancy levels represent different combinations of data recovery rates and storage resource occupation proportions; and switching the erasure code type of the to-be-reconstructed disk to a target erasure code type corresponding to the target redundancy level, and according to the target erasure code type, transmitting the fault data block in the to-be-reconstructed disk to a specified disk for data reconstruction. The problem that data recovery performance, resource consumption and network bandwidth resource occupation cannot be dynamically balanced in the data reconstruction process in the prior art is solved.

A data management system (DMS) may support multi cloud failover recovery. For example, the DMS may receive a configuration for a failover recovery procedure. The configuration may include, for a set of virtual machines, respective target environments to which to recover the set of virtual machines as part of the failover recovery procedure. In response to a failover event, the DMS may deploy a respective network translator at the target environments. Additionally, as part of the failover recovery procedure, the DMS may instantiate the set of virtual machines on respective target environments. The network translators may store a location of virtual machines instantiated on the respective target environments. A request to access an application supported by the set of virtual machines may be received at a target environment, and the network translators may be used to route a packet associated with the request between the target environments.

The invention belongs to the technical field of fault detection and recovery, and particularly relates to a fault self-diagnosis and self-adaptive recovery method for an embedded controller, which comprises the following steps of: starting a fault self-diagnosis process by adopting a periodic triggering mode and an event triggering mode, and acquiring, processing and generating a diagnosis data source with time sequence characteristics in real time; step-by-step anomaly recognition is carried out through a three-level anomaly recognition mechanism, an anomaly feature set is extracted, cooperative fault positioning is carried out in combination with a weighted cosine similarity algorithm and fault tree analysis, fault types and severity levels are judged, and a fault positioning report is generated; the optimal self-adaptive recovery strategy is matched to carry out preliminary recovery, the strategy is divided into light, medium and deep levels according to serious levels and is provided with priorities, and the scheme with the minimum influence on the core service is preferentially selected; the recovery effect is verified through multi-dimensional comparison, and processing is carried out according to the recovery effect. According to the method, the real-time accurate diagnosis, intelligent positioning and self-adaptive recovery of the fault of the embedded controller are realized, and the reliability and self-healing capability of the system are improved.

The invention discloses an unmanned aerial vehicle track recovery method and system based on a diffusion model, a medium and equipment, and belongs to the technical field of unmanned aerial vehicle track recovery, and the method comprises the steps: obtaining a sparse track sequence and an airspace mask, and generating a behavior vector; a time base vector and a space projection vector are extracted and fused into an embedded vector; after the embedded vector is input into the conditional diffusion model, a first latent variable is obtained through linear projection, and a second latent variable is obtained through forward noise addition; performing hard boundary constraint in combination with an airspace mask to obtain a third latent variable containing collision penalty, and obtaining a fourth latent variable through behavior prior constraint of a behavior vector; a fifth latent variable is obtained through semantic and time density joint optimization, reverse denoising is carried out, the fifth latent variable is mapped back to the three-dimensional geographic coordinate space, and a complete track is output. Therefore, by implementing the method, the problems of low trajectory recovery precision and poor physical feasibility caused by sparse trajectory observation of the unmanned aerial vehicle in a complex urban environment in the prior art can be solved.

The invention relates to a database fault recovery method and device, a storage medium and electronic equipment. The method comprises the steps that when a database normally runs, a WAL log is written into a disk, and meanwhile, a log record is pre-analyzed through a background asynchronous thread to extract core semantic information of the log record; constructing a cache structure sorted according to table space identifiers and data page numbers in the shared memory, and storing the core semantic information in the cache structure in a recovery-oriented compact format; when the check point is executed, the memory dirty page is flashed to a disk, and the cache initial position corresponding to the check point in the cache structure serves as metadata to be written into a control file; and after the database crashes and is restarted, acquiring a cache initial position from the control file, loading all core semantic information entries behind the cache initial position in the cache structure according to the cache initial position, positioning a target data page, and modifying the target data page. The technical problem that an existing database collapse recovery technology is low in recovery speed is solved.

The invention relates to a virtual machine recovery method and device, computer equipment, a readable storage medium and a program product, relates to the technical field of data protection and recovery, and can improve the universality of instant recovery. The method comprises the following steps: creating a state machine and entering a system mounting stage of the state machine; in a system mounting stage, mounting a logic file system created according to the snapshot data of the faulted virtual machine to a local directory of the backup server; in the system sharing stage, a backup server local directory is shared with a platform server of the virtualization platform based on a universal network file system protocol, so that the platform server mounts the backup server local directory; in a virtual machine starting stage, creating a normal virtual machine in the local directory of the backup server to trigger the platform server to operate the normal virtual machine according to the snapshot data in the local directory of the backup server; wherein when the rollback triggering event is detected, the state machine is used for executing the corresponding rollback operation according to the stage where the state machine is located.

Techniques for file system recovery involve: running a recovery task for a file system on a first node, and synchronizing task data associated with the recovery task in a memory of the first node to a memory of a second node during the running of the recovery task. Data of the file system is stored in a storage device that is accessible via the first or second node. Such techniques further involve: in response to the recovery task panicking on the first node, resuming the running of the recovery task on the first node by using the task data that has been synchronized to the memory of the second node. Accordingly, the recovery task for the file system can continue even if some problems are encountered without re-running from the beginning.

Techniques discussed herein relate to monitoring and / or detecting destabilization events of a host machine of a cloud computing environment. At least some of these destabilization events can be associated with a converged network adaptor of the host machine. The converged network adaptor may include a combination of functionality of a host network interface card (NIC) and functionality associated with a smart adaptor (e.g., a smart NIC). The smart adaptor may be configured to use at the host machine. A converged infrastructure management service may monitor operational data associated with the host machine to identify destabilization events that may be associated with the converged network adaptor. One or more remedial actions may be identified based at least in part on identifying these destabilizing events.

Various example embodiments provide for early use of a redundant array of independent NAND-type memory devices-based (RAIN-based) error recovery technique in a read error handling (REH) process of a memory system to recover stored data. For some example embodiments, the RAIN- based error recovery technique is configured to determine, based on a system parameter, if and when the RAIN-based error recovery technique should be performed (e.g., triggered) at an alternative stage (e.g., at another position in the sequence) that is earlier than its current stage.

The present application discloses a load-balanced collaborative repair method and device for coded data, and relates to the technical field of data storage and recovery. The method include performing encoded collaborative repair on data of a damaged disk using a collaborative repair algorithm BROR according to characteristics of the damaged disk and data characteristics of intact disks; and calculating locations of data required to be transmitted by each disk using a load balancing algorithm BROR-LB based on encoded collaborative repair results, implementing data balance among nodes, and completing load-balanced collaborative repair of coded data. The present application solves problems of low data recovery efficiency and unbalanced system load in large-scale storage systems.

The invention discloses a karst ancient landform recovery method and system based on the real thickness of a stratum, and belongs to the technical field of rock stratum ancient landform recovery. The real stratum thickness of the first algorithm is calculated through drilling data when the upper interface and the lower interface of the stratum are inclined and not parallel; the real stratum thickness of a second algorithm is obtained through calculation according to the seismic data; counting the thickness difference between the real stratum thickness of the first algorithm and the real stratum thickness of the second algorithm in the research area at the well point, and performing difference gridding interpolation by adopting a cubic spline interpolation method; and merging the difference gridding interpolation data and the stratum real thickness gridding data of the second algorithm to obtain an ancient landform map. According to the method, the drilling data, the seismic data and other data are combined, ancient landform recovery errors caused by the difference between the stratum apparent thickness and the real thickness due to stratum inclination are eliminated by recovering the real thickness of the stratum, and the ancient landform recovery precision and the exploration and development success rate can be effectively improved.

The invention provides a wind turbine laser radar communication interruption automatic recovery control method and device, overcomes the defects in the prior art, provides a rapid control method of a laser radar communication automatic recovery technology, and effectively solves the problem of communication interruption caused by high frequency in a wind power plant. The method has the technical advantages of high reliability, low-cost maintenance and high compatibility, is one of key technologies for improving the intelligent level and economical efficiency of the wind turbine generator, and can improve the operation safety and reliability of the wind turbine generator under extreme wind conditions based on multi-information fusion sensor redundancy diagnosis and fault-tolerant control.

The invention discloses an animal fracture auxiliary recovery device for animal husbandry veterinarians, and relates to the technical field of animal fracture auxiliary recovery, the animal fracture auxiliary recovery device comprises a first arc plate, a vertical strip is fixed in the middle of the right side of the first arc plate, two bandages are fixed to the back of the vertical strip, and a hook-and-loop fastener is fixed to the outer wall of each bandage. A second arc plate is arranged on the left side of the first arc plate, two U-shaped plates are fixed to the middle of the left side of the second arc plate, the bandages penetrate through the interiors of the U-shaped plates respectively, two concentric-square-shaped frames are fixed to the right side of the vertical strip, the bandages penetrate through the interiors of the concentric-square-shaped frames respectively, the bandages are bent forwards, and the hook-and-loop fasteners are used for fixing the sides, away from the vertical strip, of the bandages. According to the device, the arc-shaped sheet plate is arranged between the first arc-shaped plate and the second arc-shaped plate in a covering mode, the air holes are used for ventilation of the fracture position of the animal, and therefore the problem that the wound of the fracture position of the animal is stuffy and inflamed, and consequently the wound of the animal is inflamed and infected is solved.

The invention provides a method, medium and equipment for recovering a follow-up network type converter, and relates to the technical field of fault recovery of the follow-up network type converter of a micro-grid, and the method comprises the steps: locally updating the state initial value, gain function and allowable energy range of input and output variables of each subsystem; generating a feasible basic recovery strategy set S; carrying out load flow calculation on the system after the recovery strategy Sk is executed to obtain a steady-state equilibrium point; judging whether the system meets a network interconnection relation condition and a small gain condition or not; if the system does not meet the network interconnection relation condition or the small gain condition, refusing to execute the recovery strategy Sk; judging whether the system meets the local input-output stability condition of the interconnection system or not, and if the system cannot meet the local input-output stability condition of the interconnection system by adjusting the state initial value of the subsystem, refusing to execute the recovery strategy Sk; and executing the recovery strategy Sk. According to the invention, the capability of quickly recovering power supply after the independent micro-grid is disturbed can be improved.

The invention discloses a power system recovery method and system considering social functions and load starting characteristics, and belongs to the technical field of power supply recovery of power systems. The method specifically comprises the steps of solving a power supply recovery importance degree parameter according to absolute power failure duration; solving a correction coefficient of the power supply recovery importance degree parameter considering the social function; correcting the power supply recovery importance degree parameter by using the correction coefficient of the power supply recovery importance degree parameter considering the social function to obtain the power supply recovery importance degree of the user; solving a node power supply recovery importance degree considering a topological connection correction coefficient; and according to the node power supply recovery importance considering the topological connection correction coefficient, generating a power supply recovery strategy, and realizing power system recovery considering social functions and load starting characteristics. According to the invention, the accuracy of resource allocation is improved, and the additional economic loss in the power supply recovery process is reduced.

The invention relates to the technical field of unmanned aerial vehicle control, and discloses an unmanned aerial vehicle throwing detection and control recovery method, which converts detection data of an inertial measurement unit into centroid acceleration and can adapt to throwing detection under more throwing attitudes. By adopting the staged recovery logic, not only can various intense throwing situations be effectively handled, but also the recovery strategy can be continuously adjusted according to the dynamic environment, and the safe and stable flight of the unmanned aerial vehicle under the extreme condition is ensured. The multi-rotor unmanned aerial vehicle throwing detection and recovery system is combined with a matched control system to form a set of complete multi-rotor unmanned aerial vehicle throwing detection and recovery technical system, extreme throwing and stable recovery of any attitude of the unmanned aerial vehicle can be realized in a complex application scene, and powerful technical support is provided for rapid deployment of the multi-rotor unmanned aerial vehicle. In emergency rescue and other tasks requiring efficient response, the technology can significantly improve the flight capability and reliability of the unmanned aerial vehicle.

The invention is suitable for the technical field of chip fault recovery, and provides a dual-core lockstep processor fault recovery device and method. According to the method, before the fault of the processor is recovered, self-inspection is carried out on related system components required by running of the processor, the specific self-inspection content can be configured and comprises chip component self-inspection, processor self-inspection, software self-inspection and the like, selective recovery is carried out on abnormal parameters or states according to the self-inspection states, and the self-inspection efficiency is improved. It is ensured that the current software and hardware state allows the system rollback operation, recovery is ensured without adopting a multi-recovery-point or overall reset mode, and the reliability of fault recovery is ensured.

Techniques are discussed herein for restoring autonomous vehicle operations after one or more onboard computer systems have failed. An autonomous vehicle may comprise a primary compute node (PCN), an active motion compute node (MCN) and a backup MCN. In the event of a fault or failure at the active MCN, the backup MCN can take control of the autonomous vehicle, in an operation referred to herein as a "'backup MCN takeover."Subsequent "active MCN takeback" techniques can be applied to restore active MCN control of the autonomous vehicle, and to relinquish backup MCN control of the autonomous vehicle. If an active MCN takeback is successfully completed, the autonomous vehicle can return to an autonomous mission that was in place prior to the fault or failure at the active MCN.

The utility model relates to the technical field of plant recovery, in particular to a plant recovery device with a flexible fixing structure, which comprises a base, springs are equidistantly mounted at the bottom of the base, and the tail ends of the springs are connected with a bottom plate; positioning blocks are continuously arranged at the bottom of the base at equal intervals, holes are formed in the surface of the bottom plate in a surrounding mode, and the tail ends of the positioning blocks are arranged in the holes; a fixing mechanism is arranged on the surface of the base and comprises a universal bamboo joint pipe installed on the surface of the base. According to the plant recovery device with the flexible fixing structure, the fixing mechanism is arranged, a universal bamboo joint pipe is conveniently clamped, fixed and bent to conveniently clamp a stem of a plant, the universal bamboo joint pipe is bent, the shape of the device is conveniently adjusted according to the stem of the plant, a limiting block is closer to the stem of the plant, meanwhile, the limiting block is rotated, the limiting block drives a rubber pad to make contact with the stem, and the plant recovery effect is improved. The stem is flexibly clamped, and the practicability of the device is improved.

Techniques for wireless communication are disclosed. These techniques include determining that a first wireless access point (AP) has a failure to connect to a controller. The techniques further include identifying one or more neighbor APs, for the first AP, as candidate rescue APs, selecting a rescue AP, from among the candidate rescue APs, and establishing a secure connection from the first AP to the rescue AP. The techniques further includes transmitting diagnostic data from the first AP to the controller using the secure connection from the first AP to the rescue AP. The diagnostic data relates to the failure to connect from the first AP to the controller, and the controller is configured to use the diagnostic data to assist in establishing a connection from the first AP to the controller that bypasses the rescue AP.

The present invention is applicable to the field of chip fault recovery technology and provides a dual-core lockstep processor fault recovery device and method. Before recovering from a processor fault, the present invention performs a self-test on the relevant system components required for processor operation. The specific self-test content is configurable and includes chip component self-test, processor self-test, software self-test, etc. Based on the self-test status, abnormal parameters or states are selectively restored to ensure that the current software and hardware states allow system rollback operations. This eliminates the need for multiple recovery points or a full reset to ensure recovery, thereby ensuring the reliability of fault recovery.

Techniques to adapt an ion implant model during maintenance recovery are described. A method includes receiving setting parameters for an ion implanter, the setting parameters includes a set of control parameters corresponding to a set of process parameters for the ion implanter, predicting a preventative maintenance (PM) recovery time for a PM recovery phase of the ion implanter based on the setting parameters, the PM recovery time representing a time interval between a start time of the PM recovery phase and an end time of the PM recovery phase, using a machine learning model, and presenting the recovery time on a graphical user interface (GUI) of an electronic device. Other embodiments are described and claimed.

The invention discloses a system for detecting and recovering a FeRAM data health state, and relates to the technical field of data health state detection and recovery, the system comprises a chip design module, a reaction detection module, a health recovery module and a fatigue prevention module; the chip design module is used for planning a unit array and dividing the unit array into a main array and a diagnosis array; the reaction detection module is used for carrying out reaction detection according to a fixed time interval; the health recovery module is used for performing health recovery operation on the ferroelectric material according to the reaction detection result; the fatigue prevention module is used for controlling the chip to actively perform recovery operation in long idle time; according to the invention, when the unit array is divided, the difference of units at different positions in the chip and the tolerance to process deviation are considered; the problem that the fatigue effect is further aggravated along with the increase of the density of the storage array is solved; the health recovery operation is autonomously initiated by designing a prevention mechanism, so that the design requirements of an external system are reduced.

The application relates to the technical field of cloud sandbox automatic recovery, and provides a DNS state identification and concurrent control cloud sandbox automatic recovery method, which comprises the following steps of S1, intercepting a sandbox access request of a client, extracting a sandbox unique identification and querying a DNS record, determining a sandbox state according to a DNS return result; S2, if the sandbox is in a pause state, serializing processing of concurrent requests through a queue manager, and triggering a single recovery operation; S3, starting a recovery processing process, calling a recovery interface, and completing state verification and snapshot information retrieval; S4, initializing a virtualization environment based on the snapshot information, loading a sandbox state, and completing start and readiness detection; S5, after the sandbox is successfully recovered, updating a DNS record to map a real running node; and S6, broadcasting a recovery result to all waiting requests, forwarding an original access request, and completing response. The application aims to provide a completely transparent sandbox access experience for users, and greatly reduces infrastructure cost and system operation and maintenance complexity.

The embodiments of the present disclosure provide a data recovery method, device, electronic device, computer-readable storage medium, and computer program product, which relate to the field of database recovery technology. The method comprises: obtaining at least one backup file information corresponding to at least one backup file of the data to be recovered, the backup file information including the storage location of the corresponding backup file and at least one database node, performing at least one priority update operation for each backup file until each backup file is successfully downloaded to the corresponding database node, and sending a recovery request to at least one database node of each backup file to recover the data to be recovered. The embodiments of the present disclosure set a priority for each backup file of the data to be recovered, so that the download operation time of each backup file on different database nodes is similar, and data recovery is completed as soon as possible, which can effectively reduce the time consumed for data recovery.

Techniques for providing a return address stack with branch mispredict recovery are disclosed. A processor core is accessed. The processor core includes a return address stack (RAS), a local cache hierarchy, and branch prediction logic. RAS state information, including a write pointer, a read pointer, and a RAS count, is sent to a branch execution unit. One or more call instructions are detected in an instruction stream. The detecting generates a predicted return address for each of the one or more call instructions which are pushed on the RAS. The pushing is directed by the write pointer. One or more return instructions are recognized in the instruction stream. The write pointer and the read pointer for the RAS are updated, based on information from the branch execution unit. The predicted return address for each of the one or more return instructions is popped from the RAS.