2539 results about "Time delays" patented technology

The invention relates to the technical field of network time delay scheduling, and discloses a deterministic network time delay scheduling method and device based on a TSN and a storage medium. The method comprises the following steps: carrying out graph theory analysis on a TSN network topology structure to obtain a network node connection relationship and link bandwidth information; extracting time delay requirements and bandwidth requirement characteristics of the data streams, and generating a data stream priority queue and a resource requirement index matrix; inputting a deep Q network, establishing a state-action mapping relation including a network load state and a time slice distribution action, and generating an initial time delay scheduling strategy model; calculating queuing time delay, transmission time delay and processing time delay of each data stream, and generating a time slice resource redistribution scheme; generating a global resource allocation matrix based on the time slice resource reallocation scheme; and parameter feedback updating is carried out on the initial time delay scheduling strategy model to obtain a target time delay scheduling strategy model, and the utilization efficiency of network resources is remarkably improved through bandwidth borrowing and time slice reallocation.

The invention relates to a time delay optimized satellite network adaptive routing method and system, and belongs to the technical field of satellite communication. The method comprises the steps of multi-hop information age construction, multi-path routing, link state sensing, flow segmentation adaptive routing, dynamic routing decision and the like. A multi-hop information age model is adopted to consider the time-varying property of a link state, the real-time property of path information is accurately estimated, and the timeliness of data updating is ensured; a multi-path search algorithm predicts link occupation frequency according to ephemeris information to construct a plurality of disjoint transmission paths, so that the traffic congestion problem is relieved, and the link resource utilization rate is optimized; a flow segmentation adaptive routing algorithm adjusts the path flow distribution proportion, reduces the data packet loss rate and the information age, and guarantees the stability of time delay sensitive data transmission; according to the method, resource utilization is balanced in a high-dynamic satellite network, link congestion is effectively prevented, the overall transmission efficiency and reliability are improved, and a high-adaptability and efficient transmission scheme is provided for time delay sensitive services.

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 relates to the technical field of mine safety production analysis, and discloses a mine safety production data fusion analysis method based on multi-source perception, which comprises the following steps: step 1, carrying out real-time data acquisition on physical parameters related to safety production in a mine environment through various types of sensors arranged in the mine environment, the collected data are stored as independent data streams with timestamps, and the data of different sensors have time inconsistency according to the difference set by the sampling frequency and the clock; and step 2, carrying out time delay compensation processing on the multi-source data with the timestamps acquired in the step 1. An optimization model is established in combination with a variational method to perform time delay compensation and time synchronization processing on sensor data, the problem of time inconsistency caused by different sampling frequencies and clocks of sensors is eliminated, fusion processing of multi-source sensor data on a unified time reference is realized, and an accurate data basis with consistent time sequence is obtained.

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 discloses a self-adaptive data caching and synchronizing method, system and device for an edge gateway of the Internet of Things and a storage medium, and the method comprises the steps: obtaining network quality parameters, such as link bandwidth, time delay and packet loss rate, between nodes, detecting and solving instruction conflicts based on a vector clock mechanism, generating an instruction execution sequence, and carrying out the self-adaptive data caching and synchronizing of the edge gateway of the Internet of Things; local caching and incremental synchronization strategies are adopted for hotspot data, a data access mode is dynamically predicted in combination with a machine learning algorithm, and a cache updating period is optimized. The future data is predicted according to the data characteristics of the Internet of Things application, and the data cache updating period of each node is dynamically adjusted, so that each node can keep a relatively consistent updating rhythm when caching a hotspot data copy; therefore, the hot spot data copies of different nodes can be ensured to have similar accuracy and timeliness at the same time point, so that the data consistency is maintained.

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 data processing, relates to an aircraft multi-mode instruction conflict resolution method and system, and aims to solve the problems of high conflict detection time delay and priority strategy staticization of a traditional method. The method comprises the steps that after a multi-mode instruction is received, semantic feature extraction and time sequence alignment are completed through a three-layer attention mechanism and a dynamic time warping algorithm, and a structured instruction set is generated; evaluating the priority of each instruction by combining a four-dimensional dynamic weight system with reinforcement learning; inputting the instruction set with the priority into a six-tuple model to identify a conflict type and an instruction set; and a three-level progressive arbitration method is adopted to resolve conflicts, an optimal execution sequence is generated, and the four-dimensional dynamic weight system is fed back and optimized according to an execution result. According to the method, the real-time performance and the dynamic adaptability of multi-mode instruction conflict resolution are remarkably improved, and reliable guarantee is provided for aviation instruction interaction safety.

The invention relates to a network slice optimization method for a 5G private network, and the technical scheme comprises the steps: constructing a time sequence performance model in a slice operation process, and monitoring tiny changes including end-to-end time delay, throughput and packet loss rate; then extracting a short-period fluctuation mode of the index, and comparing the gradient with a historical stability threshold value; judging whether the index is in a performance critical state or not by identifying an index drifting behavior which continuously jitters but does not default yet; non-equal-ratio responses including jitter improvement and delay decline after each time of resource adjustment are recorded; then trend fitting is carried out on the data, and whether a performance platform period or a critical jump point exists or not is judged; delimiting three intervals of resource investment in the model: an inactive area with invariable investment, a high-sensitivity area with rapid performance change and a rising saturation area with stable performance and continuous resources, wherein the three intervals include an inactive area with invariable investment, a high-sensitivity area with rapid performance change and a rising saturation area with stable performance; and identifying the current response area of the slice through the model, determining that the regulation strategy does not take equal proportion input as the core, and taking the optimal response area as a resource allocation interval to make a choice.

The present invention relates to the technical field of information processing, and provides a time-sensitive network end-to-end time synchronization method, device and storage medium, including obtaining the timestamp of the source end, performing time calibration on the time synchronization signal according to the timestamp of the source end, collecting the time of the target end after obtaining the calibrated time synchronization signal, obtaining the timestamp of the target end, analyzing the timestamp of the source end and the timestamp of the target end, obtaining the network delay value, combining the local clock information of the source end and the target end, and obtaining the corrected timestamp of the target end, and adjusting the local clock of the target end according to the corrected timestamp of the target end and the timestamp of the source end. By obtaining the timestamp of the source end and performing time calibration and analysis, and correcting the timestamp of the target end, the accuracy and stability of the end-to-end time synchronization are improved, and the problems of insufficient synchronization accuracy and unstable delay in complex network environments are improved.

The invention provides an AmBC-NOMA communication resource joint optimization method for a high mobility V2X scene, and relates to the technical field of communication resource joint optimization. Aiming at channel dynamic change caused by high-speed motion of a vehicle and the influence of the channel dynamic change on short packet communication reliability and rate performance, the method combines reflection type communication and non-orthogonal multiple access technologies, and on the basis of fully considering channel time-varying characteristics, a reflection coefficient, a power distribution coefficient and block length resource distribution in a system are jointly optimized, so that the reliability and the rate performance of short packet communication are improved. Therefore, the communication rate performance and the resource utilization efficiency under the requirements of short time delay and low error rate are improved. Through the method, the short packet transmission rate of the system can be remarkably improved under the conditions of limited time delay and channel uncertainty, and the actual application requirements of the future Internet of Vehicles system for efficient, low-time-delay and high-reliability short packet communication are met.

The embodiment of the invention provides a read-write request processing method, a protocol conversion module, electronic equipment and a storage medium, and relates to the technical field of chips. The method comprises the steps that a protocol conversion module is arranged in a processor cluster, an original read-write request is converted into a first read-write request conforming to a CHI protocol through a first conversion module in the protocol conversion module, and a corresponding transmission channel is distributed to the first read-write request; and the request queue module orderly sends the received first read-write request, and the second conversion module recombines the first read-write request information to a second read-write request conforming to the CHI protocol, and allocates a corresponding channel for the second read-write request. According to the embodiment of the invention, the internal data channel (AXI or similar AXI) is directly converted into the CHI interface in the processor cluster, the internal circuit resources of the processor cluster are reused, the circuit area is saved, and the access path time delay is reduced.

The embodiment of the invention discloses a multi-core heterogeneous system and a data processing method thereof. The method comprises the steps that a plurality of kernel functions corresponding to a device end in the multi-kernel heterogeneous system are configured, a corresponding special register is reserved for each kernel function, the special registers store parameter taking address pointers, the parameter taking address pointers point to kernel function parameters stored in a public memory of the device end, and in the kernel function compiling process, the parameter taking address pointers point to the kernel function parameters stored in the public memory of the device end; according to the method, the parameter fetching address of the kernel function is initialized into the parameter fetching address pointer stored in the special register, so that when the target kernel function is started, the target parameter fetching address pointer can be determined according to the target special register corresponding to the target kernel function, then the parameter of the target kernel function is fetched, and finally the target kernel function is executed according to the fetched parameter. And obtaining a corresponding data processing result. The parameters are directly read from the public memory of the device end through the special register of the kernel function, the kernel function parameter transmission process is simplified, the starting time delay of the kernel function is shortened, and the data processing efficiency is 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 belongs to the technical field of communication, and discloses a positioning method and system based on differential time delay and an alternating direction multiplier method, and the method comprises the steps: obtaining the position information and differential time delay of a receiver; performing joint estimation on the position of the target object and the position of the transmitter based on an alternating direction multiplier method; wherein during joint estimation, a first variable and a second variable are introduced, an original optimization problem is decomposed into two sub-problems related to the first variable, the second variable and a Lagrangian multiplier coefficient during iterative calculation in the joint estimation process, and in each iterative process, analytical solutions of the two sub-problems are solved respectively; and updating the first variable, the second variable and the Lagrange multiplier coefficient. According to the method, the accuracy of target object position estimation can be improved while the calculation complexity can be remarkably reduced.

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 related to intelligent production control, in particular to a coal mine production equipment control method and system based on remote body interaction, and the method comprises the steps: coal mine production equipment uploads parameters, analyzes the state, configures a twin architecture, and carries out local decision abnormity early warning. A remote end is communicated with an interaction device, biological characteristics are reflected as a pose instruction, time delay compensation and track deviation prediction are embedded, a multi-mode feedback unit triggers smooth control according to the pose instruction, and tactile feedback is enhanced in combination with a vibration spectrum. The technical problems that the network condition of the underground coal mine environment is poor, obvious communication delay exists in remote control, operation instruction lagging exists, and the response speed and operation safety of equipment are affected are solved, dynamic time delay is predicted through the LSTM network, track deviation is compensated, the real-time performance and stability of remote control are improved, accurate execution of instructions is ensured, and the service life of the equipment is prolonged. And the remote operation efficiency and reliability of the coal mine equipment are improved through high-precision pose control and real-time compensation.

The invention provides an unmanned aerial vehicle visual servo intrusion target tracking and intercepting method based on time delay compensation. The method comprises the following steps: acquiring a latest image of a tracking target through a camera on an unmanned aerial vehicle; based on the latest image, determining the position of the tracking target in an image coordinate system of the latest image as a first position; determining a position error of the first position by adopting a prediction algorithm based on improved Kalman filtering based on the delay time of collecting the latest image; based on the position error, determining a control parameter used for visual servo tracking of the corresponding tracking target; and based on the first position and the control parameter, controlling the unmanned aerial vehicle to fly to track and intercept the corresponding tracking target. Therefore, the position error compensation is performed through the delay time of the latest image, and the unmanned aerial vehicle is controlled to track the corresponding target based on the position error, so that the tracking accuracy is improved, the tracking interception error is reduced, and the interception success rate is improved.

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 invention provides a fault processing method and system for voice dial testing, and belongs to the technical field of communication network operation and maintenance, and the method comprises the steps: receiving a fault request from a signaling system; performing fault type identification on the fault requests in a preset cache period, and merging and compressing the fault requests of the same fault type; determining a first fault request in the merge set, and executing a routing tracking operation on a destination IP on a main / standby data communication equipment switch corresponding to a source IP of the first fault request to obtain current network state information; according to the current network state information and the historical network state information, whether routing abnormity and time delay abnormity exist or not is judged; determining a fault type according to a comparison result, and generating real-time alarm information; and in a preset time period, sending the real-time alarm information to a manager terminal. According to the invention, on the basis of real-time routing tracking, historical alarm comparison and time delay anomaly detection, large-scale fault requests can be quickly and accurately processed in a short time.

The invention discloses a method and equipment for improving data nonstop efficiency based on a large model, and a medium, belongs to the technical field of large models and data processing, and aims to solve the technical problem of how to reduce time delay of data transmission and processing in a large data processing process, ensure integrity and consistency of data, and improve data nonstop efficiency. According to the technical scheme, the method comprises the steps that multi-source data collection and processing are conducted, specifically, real-time data streams are integrated and synchronized in batches, data are efficiently collected from a database, an API, a file and Internet of Things equipment through a data source adapter, then preprocessing and optimization preprocessing are conducted on the data, and an original data set is obtained; feature engineering: performing feature extraction and feature conversion on the original data set to obtain a pre-training data set; training and optimizing a large model; model deployment and integration: the trained model is exported as a SavedModel format of deployable TensorFlow or a TorchScript format of PyTorch, and real-time data pushing is realized through an API (Application Program Interface) according to a data direct requirement; and a real-time analysis engine.

The invention relates to the technical field of power monitoring, in particular to an operation state monitoring operation and maintenance method and system for a power cable, and the method comprises the following steps: transmitting a test signal with preset frequency and intensity to a target cable; capturing a test signal transmitted through the cable at the other end of the cable, and predicting the aging degree of the cable through an attenuation index; analyzing the time delay and intensity of a reflected signal in the cable by using a TDR technology, and determining the initial position of potential damage or discontinuity in the cable; performing a multi-frequency signal test on the cable, and analyzing the transmission characteristics of the cable to each frequency signal so as to obtain a fault type; and comprehensively analyzing by using a multi-task learning model to determine the aging condition and the specific damage position of the cable. According to the invention, obvious external damage of the cable can be detected, tiny damage or aging phenomena, invisible to naked eyes, in the cable can be identified, and the requirement of manual operation is reduced, so that the detection efficiency and reliability are 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 a time delay compensation control method and system for two-way communication of a repeater, particularly relates to the technical field of repeaters, and is used for solving the problem of signal time delay distortion caused by polarization mode dispersion in an optical fiber link. By using polynomial fitting and a frequency domain interpolation algorithm and combining a polarization state time delay spectrum chaos degree index and a phase high-order dynamic variable rate index, the complexity of the model is dynamically adjusted, an accurate nonlinear time delay model is generated, and the defect of nonlinear time delay modeling in a traditional method is overcome; the time delay compensation amount is reversely calculated based on the model and mapped into a phase predistortion parameter, a full-band time delay gradient compensation matrix is formed, and the time delay dispersion effect in an optical fiber link is effectively compensated through phase predistortion; therefore, the flattening correction of the broadband signal time delay is realized, the demodulation performance of the receiving end signal is improved, the communication quality of the repeater in a high-frequency and large-bandwidth scene is ensured, and the high-precision service requirement is met.

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 discloses an industrial equipment interconnection and intercommunication method based on an industrial control platform, and relates to the technical field of industrial equipment interconnection and intercommunication, and the method specifically comprises the following steps: calculating a behavior entanglement degree between a resending data frame with repeated content and a resending data frame, and if the entanglement degree exceeds a preset threshold value, determining that the resending data frame is the resending data frame; if yes, extracting a sequence offset, a time delay amount and a field fluctuation amplitude, and generating an index vector used for describing the aging degree of the data identifier; the generated index vector is input into a pre-trained graph embedding algorithm model, a first parameter and a second parameter are generated, the first parameter is used for describing the consistency of the data frame and a historical evolution path, and the second parameter is used for describing the aging degree of the data frame identifier. According to the method, the problem that the reissued data of the industrial equipment cannot be accurately identified is solved, and timeliness judgment and validity identification of the state data are realized based on the causal atlas and the graph embedding model.

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 belongs to the technical field of artificial intelligence, and relates to a concurrent flow limiting method and device, computer equipment and a storage medium, and the method comprises the steps: receiving a transaction processing request which is sent by a user terminal and carries transaction request data; obtaining a resource identifier corresponding to the transaction request data; querying a real-time concurrent value corresponding to the resource identifier in the REDIS; comparing the real-time concurrent numerical value with a threshold value which is recorded in a system memory and read during starting; if the real-time concurrent value is smaller than the threshold value, business operation is carried out on the transaction request data; and if the real-time concurrent value is greater than or equal to the threshold value, terminating the business operation of the transaction request data. According to the method, the transaction real-time current limiting data of the concurrent current limiter is stored in the REDIS, the current limiting bottleneck is avoided, the REDIS response delay is extremely low, the response speed is high, and too much time delay is not increased due to the fact that the current limiting function is added.