57 results about "Recovery techniques" patented technology

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 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.

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 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.

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 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.

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.

The invention discloses a stratum difference denudation amount recovery method, system and equipment and a medium, and belongs to the technical field of stratum denudation amount recovery. The recovery method comprises the following steps: analyzing seismic data, identifying well positions which are not denudated in a research area, and then performing stratigraphic division by combining a logging curve to determine a standard well; stratigraphic comparison and denudation surface identification are carried out on the standard well and other wells in the research area, and stratums which are not denudated under the denudation surfaces of the denudation wells are divided; the denudation thickness of the single well is obtained according to the stratum thickness difference value between the denudation well and the standard well; the denudation thickness of all single wells in the research area is counted, and a denudation thickness contour map is drawn. According to the method, seismic data and the logging curve can be combined, the denudation thickness of the denudation well is counted with the idea of sedimentary cycle and equal-thickness slicing as the core and stratigraphic contrast as the basis, and the denudation thickness contour map is drawn.

The application discloses a structural health monitoring video recovery method based on flexible deep learning and belongs to the technical field of video recovery.The method comprises frame sampling, flexible error elimination, frame initial recovery and deep compensation recovery steps.In the frame sampling, a sampling matrix can be optimized in combination with a recovery process through a convolution layer.In the flexible error elimination, a flexible deep network embedded with an adjustable noise level diagram can eliminate various environmental noises.In the frame initial recovery and deep compensation recovery, the spatiotemporal correlation of non-key frames is enhanced by using key frames, so that the lost video information is recovered to the maximum extent.The application realizes joint optimization of sampling and recovery by constructing an interpretable deep learning framework, can restore the video with high fidelity even under the condition of low data retention rate, and significantly reduces the hardware dependence.

This invention discloses a database-level fine-grained isolation recovery method, system, and medium, belonging to the field of database recovery technology. It addresses the technical problem that existing PostgreSQL databases only support instance-level coarse-grained recovery, cannot achieve independent isolation recovery of a single database, easily leading to data loss in non-target databases, cross-service interruptions, and difficulty in adapting to multi-tenant fine-grained operation and maintenance scenarios. The method includes: reading the target database OID; obtaining the recovery starting point LSN value when entering the database recovery process and locating the corresponding write-ahead log file; reading data change records one by one in the write-ahead log file and extracting the corresponding home database OID of each data change record; matching the target database OID with the home database OID of each data change record to filter out the data change records of the target database; and recovering the data change records of the target database one by one until the recovery target conditions are met.

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.

The application belongs to the technical field of power system fault diagnosis and recovery, and proposes a component state identification method and system during power system fault recovery, determines multiple candidate attribute subsets according to a component disaster-causing condition attribute set, and reduces the component disaster-causing condition attribute set according to a knowledge granularity; based on information entropy, information filling is performed on a missing attribute interval of the reduced disaster-causing condition attribute set to obtain a complete disaster-causing condition attribute set; the component state correlation degree in the complete disaster-causing condition attribute set is calculated, a reasoning network correlation matrix is constructed based on the component state correlation degree, and a state unascertained component damage confidence is determined according to the reasoning network correlation matrix; the application can effectively utilize limited available information under the condition of information loss, realizes online reasoning on the unascertained component fault confidence by constructing a disaster-causing attribute set, calculating a state correlation degree and establishing a reasoning network, and improves the safety and efficiency of recovery decision.

Techniques are disclosed for a wireless device to share a channel occupancy time (COT) in a sidelink (SL) channel. The techniques include a method for sharing a channel occupancy time (COT) in a sidelink (SL) channel, the method including performing, by a first wireless device, a clear channel assessment (CCA) to initialize the COT. The first wireless device determines that a portion of the COT may be shared, and sends first sidelink control information (SCI) to one or more eligible wireless devices. The first SCI may include a destination identification (ID), an offset, and an SL duration. The destination ID indicates one or more conditional wireless devices that can share the COT, and the SL duration defines a duration for which the one or more conditional wireless devices can be used to share the COT. The first wireless device may resume transmission in the COT.

This invention relates to the field of distribution network fault recovery technology, specifically an adaptive fault recovery method for hybrid switchgear distribution networks under power outage conditions. The method includes: collecting distribution network topology data, distributed generation operating parameters, and real-time power demands of load nodes under power outage conditions; unifying the format and aligning the time stamps to form an initial operating dataset; identifying disconnected tie switches and sectionalizing switches in the network, classifying them into mechanical switch groups and power electronic switch groups according to their physical type; constructing a candidate reconfiguration path set including switch action delay and transmission capacity constraints based on the differences in the operating characteristics of the two types of switches; performing radial topology verification on each path, eliminating paths that do not meet the unidirectional power supply constraint, and retaining usable recovery paths; and calculating the remaining transmission margin of each usable recovery path as the basis for path selection. This method can achieve accurate and efficient adaptive recovery of power outage faults in hybrid switchgear distribution networks.

The invention discloses a tunnel robot instruction execution and fault self-recovery method, and relates to the technical field of tunnel robot cooperative control and fault self-recovery, and the method comprises the steps: receiving a main control chip instruction packet, and carrying out the analysis of the instruction packet to obtain an instruction code and a data segment; driving an execution mechanism according to the instruction code and the data segment, and collecting operation parameters of a driving motor and transmitting the operation parameters back to the main control chip; continuously receiving the heartbeat data packet, resetting the timeout timer, and judging the fault type according to the state of the timeout timer and the operation information of the driving motor; and executing a differential recovery strategy according to the fault type, and waiting for the main control chip to re-issue an instruction after the fault is eliminated. According to the invention, automatic fault detection and recovery of the main control chip and the driving motor can be realized, manual intervention is not needed, the operation and maintenance cost is reduced, and continuous and stable operation of the tunnel robot in a severe environment is ensured.

This application belongs to the field of firmware upgrade and recovery technology, and relates to a firmware self-management method, device, electronic device, and storage medium. By acquiring firmware information of the second boot module and application module during the boot phase of the first boot module, and selecting a path based on jumpability verification conditions, the system enters the application execution flow under the premise that the firmware has basic runnability. Furthermore, during application execution, the health status of the second boot module is determined, and corresponding repair operations are triggered based on the determination result, realizing dynamic perception and processing of the status of key modules in the boot chain. Simultaneously, when the firmware information does not meet the jumpability conditions, differentiated anomaly recovery processes are executed according to different abnormal combinations of modules, enabling the system to select the corresponding repair path during the boot phase. Based on this, this application improves the system's boot reliability, path flexibility, and self-recovery capability.

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 invention discloses a two-stage self-adaptive island recovery method for resisting secondary collapse of a power distribution network, and belongs to the technical field of island recovery of the power distribution network. A multi-objective optimization method is adopted to configure a switch, and the maximum recovery load is adjusted; when it is detected that the initial island breaks down, an active node searching method is adopted to reconstruct the island with the fault; the active node searching method comprises the following steps: if a preliminarily executed recovery plan fails and a path led out from a distributed power generation vertex cannot be communicated with a load vertex, judging that a vertex path is not communicated; when a fault occurs, determining the degree of influence caused by the fact that distributed power generation cannot supply power; when the distributed power generation cannot supply power to the key load, determining available distributed power generation; and determining an affected vertex and a recovery path thereof, and adjusting an initial value after the fault event is recovered. According to the invention, the problem that a traditional method cannot cope with secondary collapse is effectively solved, and the continuous power supply capability of island operation is remarkably improved.

The invention discloses a power distribution network dynamic power supply recovery method and device and a medium, and belongs to the technical field of power supply recovery. The method comprises the steps of obtaining power distribution network operation parameters and power distribution network fault recovery time; dividing the fault recovery time of the power distribution network into a plurality of time periods, and constructing a target function of a dynamic power supply recovery model of the power distribution network by taking minimization of unsupplied power cost of each time period and operation cost required for achieving optimal topology as targets according to operation parameters of the power distribution network of each time period; constructing constraints of a dynamic power supply recovery model of the power grid according to the operation parameters of the power distribution network in each time period; and solving the power distribution network dynamic power supply recovery model to obtain a power distribution network dynamic power supply recovery result. According to the method, an optimization model which simultaneously supports multiple network topology modifications and fully coordinates key equipment to dynamically adapt to the time-varying recovery capability is constructed, so that the effective power supply recovery capability is provided.

An error handling method and apparatus for a video bitstream for determining an error type and a frame type to select a recovery technique. The method receives a video bitstream, detects errors during decoding, and classifies the errors as syntax parsing errors, reference picture data missing or corruption, and decoding errors. The frame type is divided into a reference frame, a non-reference frame or a key frame. Based on these classifications, the method applies appropriate error handling: for partial corruption, generating replacement reference data; for complete reference loss, discarding the frame or the frame group; performing row-level hiding on the reference frame to limit error propagation; performing stripe-level hiding on the non-reference frame to improve visual quality; analyzing key frame errors to ignore slight edge errors; for serious damage, discarding the frame group; for unrecoverable syntax errors, frames are dropped.

The invention discloses a PQDIF data recovery method and system supporting isolated reconstruction, and belongs to the technical field of power system data storage and recovery. In order to solve the problems that the data recovery capability is insufficient and the reliability of a recovery result is difficult to evaluate when a file structure is damaged in the existing PQDIF data processing technology, the method comprises the following steps of: scanning a recording head: carrying out global scanning by taking a fixed GUID sequence defined by a PQDIF standard as a feature identifier; carrying out fault-tolerant analysis on the recording body according to a PQDIF hierarchical structure; performing hierarchical structure reconstruction on the analyzed record, wherein the hierarchical structure reconstruction comprises chain reconstruction and isolated reconstruction; calculating a multi-dimensional credibility score for the reconstructed recovery record; and exporting the record with the credibility score reaching or exceeding a preset threshold value as a target data format, and attaching a label of the credibility score to the exported data. The method is used for monitoring, analyzing and evaluating the power system.