70results about How to "Improve recovery efficiency" patented technology

The invention relates to the technical field of rehabilitation medical equipment, in particular to hand rehabilitation equipment and system based on multi-source data analys.The hand rehabilitation equipment comprises a wearable glove, the wearable glove is made of a flexible and breathable silica gel-fabric composite material and comprises finger parts and a palm part, and the finger parts correspond to five fingers of a human body one to one; each finger part is divided into three sectional mounting positions including a near section, a middle section and a far section in the length direction, and a polytetrafluoroethylene wear-resistant sleeve is pre-embedded in the wearable glove to serve as a traction rope channel; the flexible array type myoelectricity sensors are fixed to the mounting positions of the proximal section, the middle section and the distal section of each finger part, myoelectricity, postures, tension and interaction signals are comprehensively collected, weighted fusion is conducted through an attention mechanism, the motion intention recognition accuracy is larger than or equal to 92%, functional state evaluation is more accurate, and the motion intention recognition accuracy is larger than or equal to 92%. The training mode and parameters are dynamically adjusted according to the real-time state of the user, excessive / insufficient training is avoided, and the rehabilitation efficiency is improved.

This utility model discloses a circuit breaker with an automatic recovery structure, comprising: a circuit breaker body; a disconnection operating mechanism installed and connected to the inner front end of the circuit breaker body; a rotational recovery mechanism movably installed inside the circuit breaker body and fixedly connected to the disconnection operating mechanism; an automatic recovery mechanism installed and connected to the circuit breaker body and connected to the rotational recovery mechanism; and a sensing control mechanism installed and connected to the inner front end of the circuit breaker body. This utility model discloses a circuit breaker with an automatic recovery structure that achieves higher overall recovery efficiency by using infrared sensing through the sensing control mechanism to control the automatic recovery mechanism for automatic recovery.

This invention discloses a fault handling method and apparatus based on main and distribution network coordination, belonging to the field of power system automation technology. The method includes: using a graph neural network to perform topology identification and fault location of the power grid, generating fault impact features; based on the spatial range and electrical connection relationships of the fault impact features, obtaining the switches at both ends of the faulty section of the power grid, and performing fault isolation through remote control tripping; analyzing the fault isolation information using topology impact analysis; and, combined with changes in the current topology of the power grid, generating a power grid protection strategy migration mechanism and initiating a fault recovery process to restore power supply. This invention achieves dynamic modeling of the power grid topology and accurate identification of faulty sections by using a graph neural network to embed the power grid graph and combining multi-channel time series information to generate node potential state vectors, thus improving the real-time performance and accuracy of fault location.

This invention provides a redundant array management method and system based on ZNS solid-state drives, comprising: for each stripe, upon receiving a write request, sequentially writing the data to be written into the corresponding data blocks, and overwriting and updating the check data of the check block; positioning the logical actual write pointer to the tail position of the consecutively successfully written data blocks, generating metadata corresponding to each data block, and writing the metadata into a spare area; the logical actual write pointer is used to point to the next writable position within the logical area; in the event of a failure, repositioning the logical actual write pointer based on the metadata in the spare area; based on the repositioning of the logical actual write pointer after the failure, discarding the data blocks outside the logical actual write pointer, restoring the data blocks within the logical actual write pointer, and recalculating and generating check data to complete the redundant array management of the ZNS solid-state drive.

The embodiment of the invention provides a solid state disk firmware damaged data recovery method and system. The method comprises the steps of performing information identification on a to-be-recovered solid state disk; if the hard disk information meeting the preset condition is not recognized, the hard disk is controlled to enter a preset safety mode; in a preset security mode, identifying a master control type and NAND particle information; based on the identified master control type and NAND particle information, selecting a matched target microcode from a preset firmware library; based on the target microcode, information identification is carried out again; if the hard disk information meeting the preset condition is recognized, configuring parameter information of the to-be-recovered solid state disk according to the hard disk information; and performing file system data recovery based on the NAND particle information and the parameter information. According to the method, the data recovery efficiency and the data integrity are improved.

The invention discloses a data lake table tape backup method and device, computer equipment and a storage medium. The method comprises the following steps: scanning a table list to be backed up to judge whether a table needing to be backed up exists or not; when the table needing to be backed up exists, the table to be backed up is determined; performing backup according to the type of the table to be backed up; and if the table cannot be obtained, writing all records from the last snapshot backup into a new Iceberg table for all tables involved in the backup, copying related data to a specified tape directory, and inserting the corresponding records into a metadata table. By implementing the method disclosed by the invention, economical and reliable long-term data backup can be realized, and the method is particularly suitable for application scenes with strict requirements on data persistence and integrity so as to solve the problems of efficiency and management of backup of a big data system.

The application discloses a disaster recovery method and device, equipment, a storage medium and a product, relates to the technical field of cloud computing big data edge computing, and the method comprises the following steps: comparing the allocated resource capacity of an abnormal running unit with the spare resource capacity of each normal running unit after detecting the abnormal running unit; when the spare resource capacity of a plurality of alternative running units in each normal running unit exceeds the allocated resource capacity, predicting the resource use trend of each alternative running unit by using a time sequence big model; determining a target running unit from each alternative running unit according to the resource use trend of each alternative running unit, and restoring the backup file and the business service of the abnormal running unit in the target running unit. The application can improve the efficiency and accuracy of Kubernetes cluster disaster recovery.

The invention belongs to the technical field of satellite communication, and relates to a satellite-ground cooperative beam fault recovery method and system, and the method comprises the steps: carrying out the multi-dimensional monitoring of a downlink signal of a satellite through a ground station, and building a health baseline model for each beam; the satellite-borne equipment executes self-inspection, generates a preliminary alarm data packet when monitoring that the parameter of the key part exceeds a preset threshold value, and reports the preliminary alarm data packet to the ground station through the telemetering link; the ground station performs fusion analysis on the health baseline model, the preliminary alarm data packet, other beam data and space environment data to obtain a fault root cause; the fault root causes comprise temporary attenuation, beam pointing offset and permanent performance recession; the ground station generates a recovery strategy based on the fault root cause; a ground station is taken as a core dominant, and rapid and accurate recovery of on-satellite beam faults is realized through cooperative work with a satellite.

The invention relates to a combined filling mining method for a steeply inclined thin vein, which comprises the following steps: S1, arranging a stope: arranging the stope along the trend of an ore body, dividing the stope into a plurality of middle sections from top to bottom along the vertical direction of the vein, dividing ore blocks through a pedestrian ventilation raise, and reserving bottom columns at the bottoms of the ore blocks; s2, mining preparation cutting is conducted, specifically, an in-vein haulage roadway is tunneled in the direction of an ore body, and then a pedestrian ventilation raise is tunneled upwards through the in-vein haulage roadway to communicate an upper middle section air return roadway with the middle section in-vein haulage roadway; excavating a undercut roadway into the ore block from the pedestrian ventilation raises on the two sides along the upper boundary of the bottom column, and upwards excavating a one-way draw shaft as a draw shaft on one side, close to the footwall of the ore body, of the middle-section in-vein haulage roadway at the central position in the length direction of the ore block; s3, stoping, ore removal and filling are conducted, specifically, rock drilling and manual charging are conducted on the first layer from the undercut roadway, and the second layer is circularly stoped; and then filling in a filling step-by-step manner. The mining efficiency can be improved, and the labor intensity of workers can be relieved.

This invention discloses a combined process for restoring reservoir drainage and gas production channels using high-pressure drive and chemical dissolution, relating to the field of efficient oilfield exploitation technology. The process includes: S1, conducting production profile testing and sampling analysis of blockages in the target gas well to determine the type, distribution location, and reservoir physical parameters of the blockages, and preparing a corresponding chemical dissolving agent based on the analysis results. This invention couples the mechanical fracture-creating effect of high-pressure pulsed fluid with the cavitation effect and vibrational mass transfer effect of ultrasound. Based on the initial dissolution of blockages by the chemical dissolving agent, the stress waves generated by the high-pressure pulse expand the reservoir microfractures. Simultaneously, the collapse of microbubbles generated by ultrasound enhances the dissolution reaction rate, and the vibration promotes the dissolving agent's penetration into the micropores, achieving a synergistic effect of chemical dissolution and physical displacement, thoroughly removing blockages from the pore throats, and avoiding secondary precipitation of dissolution products.

The application relates to a full-scene quality inspection method for a car store based on adaptive fusion of multi-granularity features, which comprises the following steps: acquiring a video stream and an audio stream in a car store; extracting multi-scale visual features from the video stream, and parallelly intercepting multiple feature branches on the last layer feature map of the network to respectively capture fine-grained interaction, macroscopic body posture trajectory and environmental state semantics; extracting an audio feature vector from the audio stream, and combining the audio feature vector with the visual feature vector to form a multi-granularity feature unit pool; calculating the instance confidence of each feature vector, constructing a gating network, and under the guidance of a scene prompt word, a task prompt word and the instance confidence, allocating feature unit quotas for each feature vector, and then screening a corresponding number of feature units from the pool to be fused into a new feature vector and output; and generating a full-scene quality inspection result according to the feature vector generated by the gating network. The application can efficiently, accurately and interpretively realize full-scene quality inspection of a car store.

The utility model relates to the technical field of rehabilitation apparatus, concretely relates to a portable wrist joint autonomous rehabilitation exercise traction device, its characterized in that: including lower arm supporting plate, palm holding plate, first mounting seat, second mounting seat, traction drive mechanism and one-way self locking mechanism, lower arm supporting plate installs on the first mounting seat, palm holding plate installs on the second mounting seat, and at least one bandage assembly is equipped on lower arm supporting plate and palm holding plate, and the second mounting seat is slidably connected with the first mounting seat through the sliding assembly, and the traction drive mechanism is used for moving the second mounting seat relative to the first mounting seat, and the one-way self locking mechanism is used for playing one-way self locking effect to the movement of second mounting seat. The utility model whole simple structure is portable, convenient operation, is suitable for family use, can realize the adjustment to the traction force, effectively ensures the stability and accurate control of traction force, can better satisfy the autonomous rehabilitation exercise demand of patient, improves rehabilitation efficiency and treatment effect simultaneously.

A partition cutting, harvesting and bud protecting device of a novel tea-leaf picker comprises a plurality of bases, and a conveying channel is formed between every two adjacent bases; the swing leaf shifting assembly is arranged at the front end of the base and rotationally connected with the base; the cutting assembly is arranged below the multiple bases and connected with the bases; the bud protection assembly is connected with the base and arranged above the cutting assembly or below the cutting assembly, and the part, located below the base, of the bud protection assembly extends forwards to the front of the cutting assembly; the swing leaf stirring assembly swings, so that the tea leaves can be combed towards the two sides, and the tea leaves are assisted to enter the conveying channel; tea leaves are combed and shifted towards the two sides by swinging the leaf shifting assembly, the tea leaves can be assisted to better enter the conveying channel along the feeding port in a partitioned mode during tea leaf picking, the tea leaf picking and sorting efficiency is improved, the arrangement of the bud protection assembly can avoid damage to buds which cannot be picked on tea trees, then the secondary picking period is shortened, and the picking efficiency is improved. The influence on the tea yield is reduced.

The invention provides a tomato harvesting control method, system and device and a storage medium. The method comprises the following steps: acquiring tomato type information and tomato spectral characteristics; wherein the tomato spectral characteristics comprise color space characteristics and moisture absorption characteristics; determining tomato quality indexes according to the tomato type information and the color space characteristics; determining the tomato breakage rate according to the tomato type information and the moisture absorption characteristics; and according to the tomato quality index and the tomato breakage rate, adjusting operation parameters of the tomato harvesting control system. The damage rate of tomatoes is reduced, and the harvesting efficiency and harvesting quality of the tomatoes are improved.

The present application relates to the technical field of rehabilitation equipment, and particularly relates to a whole-body joint rehabilitation training device and a control method thereof. The method of the present application comprises: collecting joint angles, IMU data and electromyographic signals when a user performs a plurality of standard actions; determining a joint range of motion risk level of a target joint according to the joint angles; determining a compensatory behavior risk level and a synergy efficiency score of the target joint according to the joint angles, the IMU data and the electromyographic signals; determining a training mode according to the compensatory behavior risk level, wherein the training mode at least comprises a general mode and a mode for compensatory behavior; determining a training parameter according to the joint range of motion risk level, wherein the training parameter comprises resistance; adjusting the training parameter according to the synergy efficiency score; and outputting the training mode and the adjusted training parameter. The method of the present application can improve rehabilitation efficiency and reduce compensatory behavior during training.

A power distribution network resilience improvement method and system considering electric vehicle V2G willingness, comprising: constructing a linear decay model of weather influence coefficient, a wind-induced road physical damage model and a water depth penalty model, calculating the shortest travel time of mobile energy storage vehicle MESS from an access node to another node based on all models; based on the comprehensive utility, the response probability of electric vehicle EV participating in grid interaction V2G is calculated, and the EV cluster response coefficient of each node is calculated through the response probability and the maximum discharge power; combined with the EV cluster response coefficient, a pre-disaster pre-layout two-stage robust optimization model is constructed to solve the pre-disaster mobile energy storage vehicle MESS pre-configuration position and pre-disaster scheduling variable, and combined with the shortest travel time, a post-disaster multi-source collaborative recovery model is constructed to solve the post-disaster mobile energy storage vehicle MESS position and post-disaster scheduling variable. The present application ensures the timeliness and rationality of post-disaster MESS scheduling, and improves the post-disaster recovery efficiency of the power distribution network.

The application relates to the technical field of rhizoma coptidis collection, and discloses a rhizoma coptidis collecting and digging robot which comprises a screening assembly, a collecting and digging assembly, a collecting assembly and a lifting assembly. The screening assembly is provided with a plurality of screening holes. The collecting and digging assembly is connected to one end of the screening assembly, and is used for collecting and digging rhizoma coptidis to the screening assembly. The screening assembly is used for receiving the rhizoma coptidis and making sundries attached to the rhizoma coptidis discharged from the screening holes. The collecting assembly is arranged at the end of the screening assembly away from the collecting and digging assembly, and is used for collecting the rhizoma coptidis screened by the screening assembly. The lifting assembly is connected to the collecting assembly and the screening assembly, and is used for driving the screening assembly to move between the ground and the collecting assembly. The rhizoma coptidis collecting and digging robot has the beneficial effects of improving the collection efficiency and the collection quality of the rhizoma coptidis.

The application relates to the technical field of intelligent terminal fault prediction, and discloses a hardware fault detection method and system of an intelligent terminal. The method comprises the following steps: capturing multi-dimensional hardware state signals and system event sequences in the running of the intelligent terminal in real time, performing time sequence alignment and feature fusion processing to form a hardware running state feature map. The feature map is analyzed by using a preset fault knowledge graph, the spatial distribution and severity level of potential fault components are identified, and are mapped to a fault response strategy network to generate an initial fault handling instruction set. Based on a historical evolution mode, the component deterioration track and event evolution trend are calculated, the initial instruction set is dynamically modified and the instruction sequence is rearranged, an optimized fault handling instruction set is formed, and the intelligent terminal is finally driven to execute. The application overcomes the shortcomings of inaccurate fault positioning and rigid handling strategy of the existing static threshold detection method, and realizes accurate prediction and adaptive optimized handling of hardware faults.

The present application relates to a kind of self-propelled clamping snapping type pineapple harvester, including rack, picking device, conveying device and collection device from front to back mounted on rack, walking device is mounted on the bottom side of rack;Picking device includes picking installation plate, picking unit;Picking unit includes picking frame;Picking frame is made of top plate, bottom plate, left and right side plates;Bottom plate has passage in front-rear direction;The top side of top plate is hinged with picking installation plate;Main conveyor belt mechanism and vice conveyor belt mechanism are further provided between top plate and bottom plate on the left and right sides of passage;Picking device further includes swing mechanism, swing mechanism is movably connected with top plate;Swing mechanism is used to drive picking unit to swing left and right, cooperate the constraint of passage left and right sides to pineapple stalk, and pineapple stalk is snapped off.The present application can realize the integration of picking and transportation of pineapple, can meet the mechanized harvesting of pineapple in different sections of field, greatly reduce the labor intensity, improve the efficiency of pineapple harvesting.

The utility model relates to the technical field of assembly type precast beam, disclose a kind of assembly type precast beam, including main girder body and two wing plates, the main girder body top and bottom end are equipped with wing plate, the main girder body and the wing plate integrated forming, the main girder body axial both ends are all set up trapezoidal connecting groove, the position of the trapezoidal connecting groove of the inside wall of the main girder body is symmetrically installed with two groups of the inlet pipe, the other end of the inlet pipe is fixedly connected with connecting pipe, the top of the connecting pipe is fixedly connected with epoxy glue injection capsule, through the inlet pipe, connecting pipe and epoxy glue injection capsule being set, built-in high flowability epoxy resin, when node crack width is greater than or equal to 0.2mm, artificial trigger repair process is completed within 2 hours, crack closure rate is greater than or equal to 95%, compared with traditional grouting process efficiency is improved by 90%, avoid the structural performance degradation caused by crack propagation.

This application discloses an air conditioning control method, device, program product, medium, and air conditioner. The method includes: after the air conditioner defrosts, acquiring a first operating frequency of the compressor before the defrost began, and acquiring an increment of the compressor's operating frequency; based on the increment, increasing the compressor's operating frequency to obtain a second operating frequency; and controlling the compressor to operate at the second operating frequency. The technical solution provided by this application can improve the efficiency of indoor temperature recovery after the air conditioner defrosts.

The utility model relates to the technical field of spinal operation rehabilitation, in particular to a spinal fixing frame for spinal operation rehabilitation, which comprises a fixing plate, adjusting components are mounted on two sides of the fixing plate, a first fixing belt is mounted on the upper portion of one end of each adjusting component, and a second fixing belt is mounted on the lower portion of one end of each adjusting component. An adjusting plate is installed on the back face of the fixing plate. According to the improved spine fixing frame, through the adjusting assembly, the adjusting plate can drive the fixing plate to conduct position adjustment in the vertical direction, it can be effectively guaranteed that the position of the fixing plate can be adjusted according to the spine of an injured part after the spine fixing frame is worn, and through the design of skin-friendly cotton, the spine fixing frame is more comfortable to wear. By means of the arc-shaped design, the allergy condition of a patient during use is reduced, by means of the arc-shaped design, the comfort of the patient during use can be improved to a certain degree, corresponding ventilation work can be conducted through the ventilation holes during use, and the comfort is further improved.

The application discloses a power distribution network resilience improvement method considering collaborative scheduling of multiple flexible resources, and relates to the technical field of power distribution network operation control and emergency recovery. The method first constructs a line fault probability model based on extreme disaster dynamic prediction data, generates a typical dynamic fault scene set; then establishes a unified model of wind turbine, photovoltaic power station, electric vehicle aggregate, 5G base station energy storage, mobile energy storage system; constructs a disaster adaptive rolling optimization framework, updates disaster information and system state in real time, dynamically corrects fault scene and plans MESS driving path; takes the minimum key load loss and the minimum system operation cost as double objectives, establishes a collaborative optimization model containing power distribution network operation constraints and resource constraints; uses weighted summation method and second-order cone relaxation technology to convert the model into a single-objective mixed integer second-order cone programming model and solve it; significantly improves the key load recovery capability and operation economy of the power distribution network under extreme disasters.

The utility model relates to the technical field of nereis breeding equipment, in particular to a nereis breeding vehicle utilizing kitchen garbage, which comprises a breeding vehicle main body and a feed production box arranged on one side of the breeding vehicle main body, a garbage classification module, a water tank frame, a garbage processor support, a storage bin support and a stirrer support are arranged in the feed production box, and a stirrer is placed on the stirrer support; the breeding vehicle comprises a breeding vehicle body, the breeding vehicle body is internally provided with a hole plate, the hole plate is fixedly connected with the inner wall of the breeding vehicle body through welding, and the bottom of the breeding vehicle body is provided with rolling wheels. Through cooperative work of the garbage classification module, the garbage processor, the stirrer and other components in the feed production box, available kitchen garbage is converted into nereis feed; the cost of purchasing the nereis feed is reduced, meanwhile, resource utilization of the kitchen garbage is achieved, the waste treatment cost is reduced, the resource utilization efficiency is improved, and sustainable development of the breeding industry is promoted.

The application discloses a power distribution network power and communication coordinated recovery method, the method comprises the following steps: generating a base station-power joint feature vector of each associated group, inputting into a pre-trained joint risk assessment prediction model, and outputting a joint risk pair of the associated group, including power load value and base station repair difficulty; using the joint risk pair of the associated group, obtaining a plurality of work order areas and work order priority values thereof through a joint partition model, each work order area comprising at least one associated group, and generating a work order sequence in descending order of the work order priority values; based on each work order area in the work order sequence, adopting a multi-objective optimization distribution mechanism to output a resource distribution scheme of the work order area; and in sequence according to the work order sequence, sequentially traversing the resource distribution scheme of the work order area, and determining an optimal path of resources to the corresponding work order area based on the real-time state of the resources. Thus, the recovery capability and reliability of the power distribution network power and communication system in a disaster area are improved.

This invention discloses a collaborative optimization method, system, and medium for intelligent power grid emergency repair based on a closed-loop perception-decision-execution system. The method first collects meteorological data, resource allocation data, power grid data, and road traffic data from the disaster-stricken area, integrating them into multi-source perception data. This data is then input into a two-layer optimization model for calculation. The outer layer model combines the fault location, road conditions, and load levels to generate the optimal repair path decision, while the inner layer model outputs a fault recovery decision based on the power grid topology and load priority. Finally, the two types of decisions are converted into emergency repair resource scheduling instructions and power grid control instructions, respectively, and emergency repair operations and load restoration operations are executed simultaneously. This invention effectively solves the problems of difficult path selection, information asymmetry, and slow response speed faced by power grid repair and restoration when power failures are caused by natural disasters or accidents, significantly improving the emergency response capability and power supply restoration speed of the power grid, and effectively ensuring power supply stability and security.

The invention relates to the technical field of intelligent rehabilitation devices, in particular to a knee joint replacement postoperative lower limb rehabilitation training system based on somatosensory interaction. Comprising a posture supporting device capable of being arranged to be in a lying or side lying state, an infrared rehabilitation mechanism used for conducting microcirculation adjustment on lower limbs before rehabilitation, a sensing detection mechanism used for providing motion resistance, a physical sign obtaining mechanism used for obtaining physical sign information and a somatosensory obtaining mechanism used for obtaining dynamic motion data. The rehabilitation analysis mechanism is connected with the physical sign acquisition mechanism and the somatosensory acquisition mechanism; and the processor is used for determining microcirculation setting parameters based on the acquired physical signs and somatosensory data, determining a single motion period according to motion resistance changes, extracting real-time motion resistance and joint vibration signals under corresponding actions based on the single motion period to determine a motion fatigue attenuation coefficient, and determining rehabilitation progress according to the motion fatigue attenuation coefficient. The motion resistance is intelligently adjusted based on multiple sensing data, and the rehabilitation efficiency of a user can be improved.

This application relates to a file backup method, apparatus, computer device, and readable storage medium. The method includes: obtaining a directory to be backed up; generating multiple backup tasks for each file in the directory; the backup tasks back up each file to a server according to file identifier order and directory identifier order, and generating backup set fragments corresponding to the backup tasks; each backup task is associated with context information; the context information includes backup progress information and backup set fragment information; the backup set fragment information includes the amount of data already written to files in the backup set fragments; running multiple backup tasks in parallel, periodically generating corresponding backup set checkpoint files at checkpoint times based on the context information of the backup tasks, and uploading the backup set checkpoint files to the server; the backup set checkpoint files are used to restore the backup progress of backup tasks in the event of interruption. This method can improve the efficiency of file backup.

This invention relates to the field of mining methods, specifically to a bottomless, segmented parallel ore-draining method. The method comprises the following steps: S1. After the collapse of the access road of a first drilling roadway, the width of the collapsed section along the strike of the ore body is determined as L2. Multiple second drilling roadways are designed along the direction perpendicular to the strike of the ore body. The access distance M between adjacent second drilling roadways is determined based on the access distance m between adjacent first drilling roadways; S2. The number n of second drilling roadways is calculated based on the ore body access length L between the vein roadway and the cutting roadway, the width L1 of the collapsed section, the width L2 of the collapsed section, and the access distance M between adjacent second drilling roadways; S3. Based on the number n of second drilling roadways and the access distance M between adjacent second drilling roadways, second drilling roadways are deployed between the vein roadway and the cutting roadway for ore body recovery. This ore-draining method is applied to ore recovery after the collapse of a drilling roadway access roadway, significantly improving ore recovery efficiency and reducing dilution rate.

The application provides a low-orbit narrow-band satellite communication switching method, an electronic device and a storage medium, and relates to the technical field of satellite communication. The method comprises the following steps: in the case that a terminal device fails to switch from an original service satellite to a target satellite, acquiring link state parameters, signaling interaction parameters and resource state parameters; determining a failure type of the switching failure according to the link state parameters, the signaling interaction parameters and the resource state parameters; and performing a switching strategy corresponding to the failure type. The application can improve the recovery efficiency after the low-orbit satellite switching failure.