1614 results about "Time delays" patented technology

The invention discloses a distribution network constant value setting and checking method, system and device and a storage medium, and relates to the technical field of electric power automation and relay protection, and the method comprises the steps: firstly collecting a real-time topology state signal of a distribution network, generating a dynamic topology matrix through state merging, and further generating an overcurrent protection directivity criterion; calculating the action value of each over-current section, and determining the zero-sequence protection constant values of different grounding networks in combination with topological parameters; secondly, differential delay parameters of a first-stage switch and a second-stage switch are set, a short-time voltage-loss locking and opening function is activated, and a digital twinborn model is constructed for checking; and finally, issuing the fixed value passing the checking to a protection device, and executing a coordination action. According to the method, the fault direction can be accurately judged, the constant value of each overcurrent section is reasonably calculated, and different grounding networks are distinguished to configure zero-sequence constant values. And through differential time delay, digital twinning check and the like, the protection self-adaption and reliability are improved, the power failure range is reduced, and stable operation of the power distribution network is guaranteed.

The invention discloses a welded pipe conveying abnormity prediction method and system based on large model reasoning, and aims to solve the problems that multi-source data is difficult to align, cross-station false correlation is caused, prediction lacks executable positioning and time sequence, and linkage control reliability is insufficient. Event alignment is carried out by taking a controller edge signal and an encoder zero position as time anchor points, a production line topology semantic graph containing time delay, capacity and interlocking attributes is constructed, and topology reachability and physical time delay constraints are applied in a self-attention long sequence model to carry out multi-step rolling prediction. And outputting a risk probability, refining the risk probability to spatial positioning of a roller way section or a shaft and the minimum executable intervention time, and generating a risk interval in combination with uncertainty estimation and calibration so as to drive an upstream beat self-adaptive speed reduction, shunting or stopping strategy. The technical effects of improving accuracy and interpretability, reducing false alarm and missing alarm, ensuring that linkage can be executed in advance and meeting edge time delay budget are achieved.

The invention relates to the technical field of chip development, and discloses a chip post-simulation verification acceleration method, system and device and a storage medium, and the method comprises the steps: collecting multi-dimensional data of a large-scale chip; collecting all module names of a given chip; establishing a mapping relation between a redundant module RTL and a corresponding gate-level netlist, ensuring that interfaces before and after replacement are completely consistent, and designing an automatic script identification and processing parameterization module; establishing a post-simulation verification environment, verifying the consistency of output responses before and after replacement, analyzing the time delay change of a key path, calculating the dynamic power consumption and static power consumption of each functional module before and after replacement, and generating a simulation verification result. According to the method, the hybrid simulation model is constructed, and part of the gate-level netlist irrelevant to the current simulation function is replaced with the RTL, so that the actual simulation scale of a chip is reduced, the problem of overlong simulation time after a large-scale integrated circuit is remarkably solved, and the simulation efficiency is effectively improved.

The invention belongs to the technical field of production monitoring systems, and discloses a numerical control machine tool dynamic fault diagnosis method and system. The method comprises the following steps: generating a global time reference signal through a main shaft encoder and a clock synchronization protocol; the method comprises the following steps: collecting vibration data of a main shaft bearing in each unit time, current data of an electric cabinet and process parameters, and generating a preprocessed data sequence through transmission delay compensation and multi-rate frequency raising processing; inputting the vibration data and the current data into a preset mechanical-electrical transfer function model, and calculating a time delay parameter; performing phase alignment on the preprocessed data sequence based on the time delay parameter to generate an aligned data sequence; inputting the aligned data sequence into a time sequence neural network, and outputting a fusion feature vector; calculating a cross correlation coefficient of the fusion feature vector, and generating a fault diagnosis result based on a preset cross correlation threshold value; the problem of failure of fault feature extraction caused by data asynchronization in the prior art is solved.

The invention provides a mechanical arm predefined time trajectory tracking control method and system based on time delay estimation, and relates to the technical field of multi-degree-of-freedom mechanical arm trajectory tracking control. Constructing a predefined time error conversion function to define a system error and conversion error system, designing a barrier function and a feedback control rate based on the conversion error system, and designing a Lyapunov function to prove the stability of the system so as to track an expected trajectory; according to the method, time delay information is deeply fused, dependence on a complex model approximate structure is not needed, stable convergence of the mechanical arm system state within predefined time can be achieved when a mathematical model is not accurate, the system control performance and robustness are effectively improved, and the requirement of modern industry for mechanical arm high-performance control is met.

The invention relates to the technical field of downhole operation control, in particular to a downhole operation platform control system and a crane, and the system comprises a task identification module, a demand index module, a power sequencing module, a rhythm switching module and a command reconstruction module. According to the method, through accurate recognition of the structure state and parameter linkage, accurate judgment of the initial operation stage is achieved, false starting and false action of the platform are avoided, coupling analysis between operation data can dynamically set the scheduling priority, it is guaranteed that key tasks are executed in advance, coordination is improved, energy supply conditions are judged through power parameter fusion, and paths are distributed according to needs; the energy utilization efficiency is enhanced, stage rhythm conversion achieves stable switching based on action states and logic mapping, action disjunction is prevented, finally, control instructions are rearranged through feedback time delay and an execution sequence, an efficient and ordered response mechanism is formed, the overall operation efficiency, stability and the intelligent level are improved, and the risk of manual intervention and operation imbalance is reduced.

The invention relates to a motor energy-saving control method for adaptive parameter adjustment. The method comprises the following steps: constructing an operation parameter sequence and comparing the operation parameter sequence with a preset reference model by collecting the rotating speed, the torque and the current signal of a motor in real time to generate a parameter deviation vector; based on a deviation threshold comparison result, carrying out noise processing on the overrun deviation to obtain a filtered sequence, and calculating a time delay degree in combination with historical parameters; calculating a compensation gain according to the time delay, fusing the compensation gain with the filtered deviation to generate a control instruction sequence, correcting the compensation gain through fuzzy control to obtain a stabilization parameter, and further generating a correction control instruction sequence; and finally, acquiring load data, fusing the load data with the correction instruction to obtain a system operation characteristic value, and generating an optimization state identifier when a judgment standard is met. By adopting the method, adaptive adjustment of the control parameters can be realized, the dynamic working condition is accurately responded, and the energy-saving efficiency of the motor under the variable-load working condition is improved.

The application discloses a 5G network slice access control method based on service type, which comprises the following steps: 1) in a 5G network supporting multiple network slices, the type of a newly arrived service is judged, and the service is divided into a time delay sensitive service and a non-time delay sensitive service; if the service is the time delay sensitive service, step 2) is executed; if the service is the non-time delay sensitive service, step 3) is executed; 2) a bearing slice of the time delay sensitive service is selected; 3) a bearing slice of the non-time delay sensitive service is selected; 4) the next service needing transmission is waited for, and step 1) is executed. The application can minimize the time delay of the time delay sensitive service, realize the relative fairness of the time delay of various services, minimize the transmission waiting time of the non-time delay sensitive service, and improve user perception.

The invention discloses an industrial Internet of Things control method for multi-type working parameter deployment, which relates to the technical field of industrial automation control, and comprises the following steps: S001, establishing a time sequence observation baseline of a multi-stage redundant path, injecting micro-amplitude identification pulses into all control nodes, generating an instruction time delay distribution curve and a resource occupation track, and establishing a time sequence observation baseline of a multi-stage redundant path; the method is used for revealing potential conflict sources and providing initial conditions. According to the method, a conflict source is revealed by establishing a time sequence observation baseline, competition nodes are identified by using a loop retrieval graph, a conflict list is formed, a single-source control right token is issued to realize link convergence, token stagnation is monitored, snapshot rollback and standby path takeover are combined to avoid interruption, and after takeover, time delay shaping is implemented to ensure stable landing of an instruction. Finally, the topological weight, the token priority and the fusing threshold value are dynamically updated, a self-evolution closed loop is constructed, and high reliability and high safety of industrial Internet of Things control are achieved.

The invention relates to the technical field of response time testing of electro-hydraulic proportional valves, and discloses a response time testing method and system of an electro-hydraulic proportional valve, and the method comprises the steps: collecting multi-point pressure, step response, pipeline length and medium parameters, and unifying the time reference to obtain an original pressure sequence; constructing an inverse filter spectrum to remove damping interference so as to recover a sharp peak value; lagging offset is calculated according to pipeline and medium parameters, time delay compensation is carried out, and an alignment sequence is obtained; intercepting a non-stationary segment to eliminate residual delay deviation; constructing a response dynamic data set, extracting harmonic frequency domain representation, and reconstructing a pressure sequence through inverse transformation and superposition of compensation factors; and calculating a deviation integral quantity, adjusting a dynamic compensation parameter, performing weighted correction, and outputting an optimized reconstruction response sequence. According to the method, accurate reconstruction of the real pressure response of the proportional valve can be realized, so that the accuracy and the reliability of response time testing are improved.

The invention relates to the technical field of intelligent scheduling, and discloses an intelligent scheduling control method and system based on multi-objective optimization, and the method comprises the steps: obtaining an attribute set of different tasks, obtaining a disturbed task attribute initial value, and carrying out the calculation to obtain an importance score of the tasks during initialization; based on the task attribute initial value and the attribute weight, calculating the conflict degree between the tasks through the task scheduling conflict degree; defining an optimization target according to the importance score of the task and the conflict degree between the tasks, and automatically generating an association rule; and after optimization, calculating the task importance score of the final time step based on the task attribute value and the attribute weight of the final time step, and generating a final scheduling scheme according to the final importance score of each task. According to the method, through dynamic conflict evaluation, adaptive weight adjustment and a closed-loop feedback mechanism, the environmental adaptability, global optimization and stability of a scheduling system are remarkably improved, and resource competition and time delay are effectively reduced.

The invention relates to the technical field of laser displacement meters, discloses a calibration method of a laser displacement meter for a Beidou device based on multi-data coupling, and effectively solves the problems of time delay compensation and data synchronization of cooperative work of multiple devices in a dynamic environment. According to the invention, when a carrier moves at a high speed or environmental parameters suddenly change, submillimeter-level positioning precision can still be maintained, meanwhile, data processing delay is controlled within a millisecond-level range, the reliability of a measurement system under a complex working condition is remarkably improved, and through double marking of a GNSS timestamp and a local clock, the measurement precision is greatly improved. And an accurate time deviation observation value is provided for a subsequent time delay compensation algorithm, so that a time-space unified data basis is established in a data preprocessing stage, and the feasibility of multi-source heterogeneous data fusion is remarkably improved.

The invention provides a gateway data transmission control method and system based on an improved token bucket method. According to the method, a traditional token bucket flow limiting method is improved by introducing a parameter self-optimization mechanism, a burst flow self-adaptive adjustment mechanism and a multi-node cooperative control mechanism. The method comprises the following steps: firstly, generating tokens according to a specified frequency and distributing the tokens to token buckets, and requesting to perform access control according to token acquisition conditions by a client; dividing the data into a plurality of independent data groups, queuing and processing the data groups in corresponding token buckets, and solving the optimal token bucket capacity and issuing rate to minimize data processing delay by analyzing the arrival rate and queuing probability of data packets; when a single-channel or group-level burst traffic event is detected, the token bucket rate and capacity are automatically adjusted to achieve traffic limiting adaptation and cooperative stabilization. According to the invention, system load balance and rate convergence can be maintained under a high concurrency condition, time delay and jitter caused by flow fluctuation can be substantially reduced, and continuity of data transmission and gateway scheduling efficiency can be improved.

The invention discloses a micro burst traffic detection method, network element equipment, a computer readable storage medium and a computer program product, and relates to the technical field of communication, the method is applied to the network element equipment, the network element equipment is provided with a microsecond-level timer, and the method comprises the following steps: counting the number of forwarding message bytes of each sub-time window in a sliding time window; performing mean value calculation on the forwarding message byte numbers of all the sub-time windows in the sliding time window to obtain a sub-window byte number mean value of the sliding time window; determining a sub-window byte number threshold value of the sliding time window based on the sub-window byte number mean value; and determining the state of the sub-time window of which the forwarding message byte number is greater than the byte number threshold value of the sub-window as a flow micro-burst state. According to the invention, the size of the micro-burst flow and the corresponding time delay can be accurately detected in a fine-grained manner, and the detection precision of the micro-burst flow is effectively improved.

The invention provides a self-adaptive fractional order nonsingular terminal sliding mode control method based on time delay estimation, and relates to the technical field of manipulator control. Designing a non-singular terminal sliding mode surface containing fractional differential and power transformation, and further constructing a reaching law with variable gain; then, the unknown dynamic state and disturbance of the system are compensated in real time through a time delay estimation technology by utilizing historical control input and state information; finally, a control law is generated by integrating the sliding mode surface, the reaching law and the time delay estimation compensation item, high-precision and strong-robustness control over an uncertain nonlinear system is achieved, and the tracking precision and the anti-interference capacity of the manipulator in the uncertain environment are effectively improved.

The invention provides a method for carrying out model training based on k8s, which relates to the technical field of model training, and comprises the following steps: creating a service queue in a k8s cluster, allocating training tasks to a corresponding queue, identifying training stage characteristics and collecting performance data by a user-defined controller, determining an initial batch allocation value according to the characteristics and the data, and carrying out model training according to the initial batch allocation value. And continuously adjusting the batch allocation value based on the actual calculation time delay, finally updating the resource demand information in the yaml file, and selecting the training node meeting the resource demand to execute the model training task. According to the invention, resource allocation can be optimized, training efficiency is improved, and resource waste is reduced.

The invention discloses a cloud side-end collaborative architecture and task unloading method for an airport apron intelligent monitoring system, and relates to the technical field of cloud side-end collaborative computing. Comprising a terminal layer, an edge server layer and a cloud server layer, the task unloading method of the system under the cloud side-end collaborative architecture is designed and comprises the steps that a task model, a time delay model, an energy consumption model and an accuracy rate model of the system are constructed, and a multi-objective optimization problem of time delay-energy consumption-accuracy rate is formed; modeling an optimization problem into a Markov decision process, and designing a state space, an action space and a reward function required by deep reinforcement learning; and designing a task unloading method based on multi-agent deep reinforcement learning, and finding an optimal task unloading strategy of the system. According to the method, the computing tasks can be dynamically, scientifically and reasonably distributed and cooperatively scheduled among the terminal, the edge and the cloud, so that the time delay, the energy consumption and the accuracy are comprehensively optimized, and the overall performance of the system is improved.

The invention discloses a dual-mode TDC implementation method and system based on an FPGA, and relates to the technical field of electronic circuits, and the technical key points are as follows: after a dual-mode signal generation circuit receives each STOP pulse, a logic sequence opposite to the last time is immediately output as an effective delay signal, the reset of the last time signal in a time delay chain (TDL) is not required, and the time delay time is shortened; when the logic signal propagated last time does not completely fade, the new reverse logic signal can be independently propagated in the TDL, and the new reverse logic signal and the new reverse logic signal do not interfere with each other; meanwhile, the rising edge of the system clock only updates the state of the main trigger to serve as the logic reference of the next trigger, and an additional reset process is not needed, so that the dead zone time of single measurement is strictly controlled to be a single period corresponding to the system clock, and compared with a double-period dead zone in an existing scheme, the dead zone time is remarkably shortened, and the measurement rate is synchronously doubled; in a high-frequency pulse measurement scene, pulse loss caused by an overlong dead zone can be effectively avoided, and the measurement efficiency is remarkably improved.

The invention discloses a quality monitoring abnormity positioning method and system for multi-source heterogeneous media data, and particularly relates to the technical field of quality monitoring of the multi-source heterogeneous media data.The method comprises the steps that through access and time base normalization, sources such as RTSP, HLS / DASH, offline files and message buses are mapped to a unified time reference, and out-of-order rearrangement and late cutting are carried out; basic quality elements are extracted from A / V / S in a sliding window, a dynamic threshold value is formed by adopting a trimming mean value and a median absolute deviation, and a window-level quality event is generated; using event anchor points as common reference to estimate cross-modal time delay and fuse evidences, outputting scene / mode labels by means of a lightweight online classifier, entering a confidence reduction mode when the evidences are missing, and outputting an availability bitmap and a reason code; and then event confirmation, time-space range refinement and hierarchical root cause posterior determination are completed, influence measurement and priority are calculated, and finally an anomaly positioning and root cause analysis record set including an event timeline, severity / influence degree, root causes and disposal suggestions is formed.

The invention discloses a patch position correction method and system, relates to the technical field of biomedical engineering and digital health, and adopts a hardware-level time synchronization and motion-artifact coupling modeling technology to effectively solve the problems of time delay drift and motion interference of signal acquisition in a dynamic environment and remarkably improve the basic quality of electrocardiosignals. Secondly, by establishing a body surface reference coordinate system and a pose compensation parameter generation algorithm, the micro-displacement state of the patch can be accurately recognized, and visual position adjustment guidance is generated, so that the patch is always kept at the optimal measurement position, and the phenomenon of signal attenuation caused by poor contact is fundamentally reduced; a signal quality multi-dimensional evaluation system adapts to quality discrimination requirements in different motion states through an intelligent weighted fusion mechanism, and combines an adaptive filtering and deep learning enhancement technology, so that the morphological integrity of a QRS waveform is kept, various interference components are effectively inhibited, and the system can still keep excellent electrocardiosignals in a strenuous motion state.

The invention discloses a high-performance CPU-GPU (Central Processing Unit-Graphics Processing Unit) cooperative processing architecture of an audio frequency integrated signal processor, belonging to the technical field of audio frequency integrated signal processing, the architecture is based on a dynamic priority scheduling model and realizes efficient collaboration of a CPU and a GPU through hierarchical resource management and protocol level optimization, a hardware layer adopts a multi-GPU cluster and a distributed storage node, and the CPU-GPU cooperative processing architecture has the advantages that the multi-GPU cluster and the distributed storage node are integrated; high-concurrency task processing is supported; the transmission layer fuses RapidIO and an Ethernet protocol, and adapts to a short frame control signal and a long packet data stream respectively; and the application layer calculates task resource demands through dynamic priority weights, and ensures low time delay of key tasks in combination with a normalized allocation algorithm. According to the architecture, in an audio signal processing scene, the task scheduling efficiency is improved by 40%, the short frame transmission delay is as low as 0.5, the throughput of a long data stream reaches 100 Gbps, and the requirements for real-time performance and calculation precision in a complex acoustic environment can be met.

The invention provides an instruction synchronization method and an artificial intelligence chip, and relates to the technical field of artificial intelligence chips, and the method comprises the steps: after a processing core sends a calculation instruction, sending a barrier instruction with the same memory address, enabling the calculation instruction and the barrier instruction to enter a cache in an order-preserving manner, and guaranteeing that the cache receives the calculation instruction and achieves calculation; therefore, a large amount of memory fence operation is reduced, and the processing time delay of the memory access instruction is reduced. And for the plurality of processing cores bound with the same target barrier identifier, recording the number of synchronized instructions of the plurality of processing cores in real time. When the number of the synchronized instructions is equal to the expected synchronization number, returning a synchronization success message to the plurality of processing cores so as to realize instruction synchronization of the plurality of processing cores; in the process, each processing core does not need to circularly read the atomic accumulation result, so that the occupation of bandwidth resources such as bus bandwidth and direct interconnection bandwidth is greatly reduced, the instruction synchronization overhead is reduced, and the efficiency of the whole system is improved.

The invention discloses a method and a system for asynchronous execution of JavaScript at a server side, and relates to the technical field of computer software, the method comprises the following steps: constructing a multi-language runtime context pool on the server side based on GraalVM, and pre-compiling a script and a core class; when the script is loaded, asynchronous execution strategy parameters are injected into the corresponding isolation context; calculating the fragmentation number of the overall task submitted by the script, and carrying out overall task fragmentation; mapping the fragments to the corresponding isolation assembly lines according to the fragment execution categories, constructing feature vectors according to the fragments in the isolation assembly lines, calculating fragment priorities, and executing in sequence; after fragment execution is completed, execution time delay is collected, historical time delay prediction is updated, and when conditions are met, isolation retry is carried out, and compensation fragments are generated. Through pre-compilation, asynchronous execution strategy, adaptive fragmentation and priority scheduling, and compensation fragmentation generation, fault self-recovery and service continuity guarantee with low time delay response, high scheduling flexibility and controllability and automation are realized.

The invention provides a remote crusher cluster intelligent scheduling method and system based on 5G communication, and relates to the technical field of wireless communication, and the method comprises the steps: collecting the real-time load, feeding intensity, yield, conveying equipment flow and other data of crushers through a 5G network; a fluid dynamic model containing upstream-downstream material transportation time delay parameters is adopted in the central dispatching server, and downstream material input is predicted in combination with the material attribute tags; and generating a target production rhythm curve with a time index, forming a time-related cooperative control instruction, and issuing the time-related cooperative control instruction to an equipment end controller for synchronous execution. According to the method, operation parameters are adjusted in a self-adaptive mode according to feeding strength differences of different cavity types, the yield and mechanical loads are balanced, and the instantaneous accumulation and overload risks are reduced; the execution precision and robustness under network jitter are improved through mechanisms such as time slot alignment, time delay compensation and sub-lattice point protection; and the productivity utilization rate is increased, equipment abrasion is reduced, and production continuity and safety are guaranteed.

The invention provides a dual-network collaborative event sequence automatic testing method and device and a storage medium. The method comprises the following steps: generating a trigger identifier associated with a first pulse as a time reference; slave station logs are collected on the secondary backboard bus side, and communication messages are collected on the primary communication network side; correcting time offset and time drift of the primary communication network and the secondary backplane bus to generate a primary event sequence and a secondary event sequence; performing consistency comparison on the primary event sequence and the secondary event sequence under a unified time base to obtain a consistency comparison result; calculating an interval between adjacent events, comparing the interval with an expected interval to obtain a time scale precision checking result, and calculating an event resolution result; and calculating the time delay between the request and the response and counting the pairing rate to obtain a redundant pairing statistical result. According to the invention, end-to-end automatic testing, unified time base alignment, dual-network consistency verification, redundant request, response quantification and millisecond-level event resolution can be realized.

The invention discloses a multi-dimensional dynamic sensing and intelligent computing power scheduling method and device oriented to a computing power network. The method comprises the following steps: deploying a plurality of target components forming multi-dimensional dynamic perception at a terminal, an edge node and a regional computing power center, and collecting computing power indexes and network indexes of each node; analyzing indexes in a preset period through a time sequence prediction model, and obtaining computing power bottleneck risk and time delay attenuation information; according to the type of a to-be-executed task, dynamically obtaining a computing power dimension weight and a time delay dimension weight, and combining a computing power bottleneck risk and time delay attenuation information to construct a cost function; determining a node corresponding to the minimum cost function and taking the node as a target node; and obtaining path costs corresponding to all feasible migration paths according to the target node, determining the migration path corresponding to the minimum path cost and taking the migration path as a target migration path, and triggering intelligent scheduling of computing power according to the migration path. According to the method, collaborative perception, intelligent decision and closed-loop control of computing power and network resources can be realized.

The invention relates to an all-angle hemispherical gyroscope delay and damping asymmetric error joint compensation method, which belongs to the technical field of inertial navigation, and comprises the following steps: S1, obtaining a self-precession excitation signal and an angular velocity measurement value signal output by a gyroscope; s2, preliminarily estimating the time delay of the gyroscope by adopting a maximum likelihood weighted cross-correlation time delay estimation method; s3, estimating the damping asymmetry error of the gyroscope through a recursive least square method by utilizing the estimated time delay; s4, re-estimating the time delay of the gyroscope by using the estimated damping asymmetric error to obtain the updated estimated time delay; judging whether the updated estimated delay is converged or not; if not, returning to the step S3, and re-estimating the damping asymmetric error of the gyroscope through the recursive least square method by utilizing the updated estimated delay; if the time delay is converged, the finally estimated time delay is obtained; and S5, compensating the finally estimated delay and damping asymmetric error into a control system of the gyroscope. According to the invention, the measurement precision and long-term stability of the gyroscope are improved.

The invention provides a broadband beam forming acoustic Doppler velocity measurement system and method based on time delay control, which can transmit and receive broadband signals and solve the problem that the measurement precision of the existing acoustic Doppler velocity measurement system is influenced by bandwidth. The velocity measurement system comprises a transducer module, a beam forming module and a conversion module, the transducer module comprises a planar transducer array and an impedance matching module connected with the planar transducer array; the transducer module is in signal connection with the beam forming module through the conversion module, and the beam forming module is used for performing time delay compensation and weighting processing on a received signal; and the conversion module is used for converting the echo signal acquired by the transducer module into a digital signal and inputting the digital signal into the beam forming module, or converting a to-be-transmitted signal received from the beam forming module into an analog signal and transmitting the analog signal through the transducer module.

Provided are a communication method, device and system, which relate to the technical field of communications, a terminal device can predict the behavior state of the terminal device and / or candidate sending beam information suggested in the behavior state, and realize beam management of the terminal device and a network device, thereby saving time-frequency resources and signaling overhead, and improving the user experience. And the spectrum efficiency is improved and the time delay is reduced. The method is applied to the terminal equipment, and comprises the following steps: predicting to obtain first information; the first information is used for indicating at least one of the following items: a target behavior state of the terminal equipment and candidate sending beams suggested by the terminal equipment in the target behavior state; the target behavior state comprises a habitual behavior state or a non-habitual behavior state; and sending the first information to the network device.

The invention provides a method and device for detecting abnormity of a time service link, and the method comprises the following steps: S1, selecting a section from a main time service link as a to-be-replaced section, and replacing the to-be-replaced section with a standard reference link as a detection time service link; s2, calculating the time difference of the time service signals received by the receiving equipment from the two time service links; s3, judging whether the replaced section is normal or not according to the time difference; and S4, taking the section except the section to be replaced in the main time service link as a residual section, replacing the residual section by using the standard reference link to serve as a detection time service link, and repeating the steps S2-S3. The method has the beneficial effects that the troubleshooting range can be quickly narrowed by adopting a link replacement mode, a large-scale link problem is positioned as a small-section problem, so that abnormal equipment is found within a small number of iterations, the absolute delay inequality can be accurately calculated by a receiving end due to introduction of a standard reference link, and the fault detection accuracy is improved. The signal sending time can be obtained for quantization time delay, and the detection precision is improved.