36results about How to "Resolve delay" patented technology

The invention discloses a financial flow situation awareness system and method based on a multi-modal large model, and relates to the technical field of supply chain financial risk control. Aiming at the problems of data isolation, high processing delay and risk perception lagging in the existing storage pledge financing scene, the method comprises the following steps: obtaining a storage digital planar graph, dividing logic sub-regions, collecting and processing multi-source data of each sub-region in parallel, and extracting pledge stock time sequence data and warehouse receipt information by utilizing a visual and text model respectively; constructing a sub-region association map by taking the cargo identifier as a node and fusing the fund flow; and fusing all the sub-maps to construct a global association map, performing cross-regional consistency verification and anomaly recognition, generating a dynamic risk judgment result, and outputting hierarchical situation awareness information. According to the invention, accurate association and panoramic risk perception of the "object-bill-money" state are realized, and the real-time performance and accuracy of risk identification and the expandability of the system are improved.

The invention relates to image processing and video monitoring, in particular to a real-time target tracking method and system based on double-camera linkage, and the method comprises the steps: initializing the system and defining a coordinate system; when the target enters the high-definition picture of the high-definition zoom camera, judging whether the target enters the field of view of the wide-angle fixed-focus camera or not in real time; if the target enters the view field of the wide-angle fixed-focus camera, guiding the high-definition zoom camera to turn to the target by using the large view field advantage of the wide angle, and carrying out picture fusion and asymmetric weight ROI video coding; if the target does not enter the field of view of the wide-angle fixed-focus camera, starting an independent closed-loop PID tracking mode for the high-definition zoom camera, and gradually switching the high-definition zoom camera from the wide-angle end to the long-focus end to realize stable locking of the target in a full-focus range; according to the technical scheme provided by the invention, the defect that the moving target is difficult to accurately track in the prior art can be effectively overcome.

The application discloses an unmanned vehicle motion control method and system based on an electronic and electrical information architecture, relates to the technical field of automatic driving, and comprises the following steps: acquiring vehicle state information and vehicle parameters of an unmanned vehicle; establishing a kinematic model of the unmanned vehicle according to the vehicle state information; establishing an adaptive three-loop collision detection model of the unmanned vehicle according to the vehicle parameters; based on the kinematic model, the adaptive three-loop collision detection model and an electronic and electrical architecture model, adopting a multi-hop loop delay analysis method to estimate the cumulative loop delay of multiple nodes and links in the electronic and electrical architecture, and obtaining boundary numerical values of loop delay; and based on the boundary numerical values of loop delay, adopting an improved double reinforcement learning algorithm to control and train the unmanned vehicle, and obtaining a motion control model of the unmanned vehicle. The application solves the problem of loop delay of the heterogeneous topology of the electronic and electrical architecture, and ensures the control stability and high efficiency of the unmanned vehicle in path tracking and safe obstacle avoidance.

The invention belongs to the technical field of power equipment safety monitoring and intelligent sensing, and particularly relates to an overhead line bird repelling device and method based on multi-mode sensing dynamic fusion and edge calculation. The system comprises a sensing layer which is used for sensing the activity of birds around the overhead line and the ambient brightness in real time; the edge calculation layer is used for processing the data of the sensing layer by adopting a prediction model, outputting bird behavior prediction, and outputting a corresponding bird repelling strategy by adopting a self-adaptive bird repelling decision model according to the bird behavior prediction; the execution layer is used for executing bird repelling operation according to the bird repelling strategy and the ambient brightness; the power supply layer is used for supplying power. According to the bird repelling system, through combination of the microwave radar unit, the camera unit and the photosensitive sensor, multi-mode sensing dynamic fusion is formed to capture bird activities, a prediction model and a self-adaptive decision model are locally operated in combination with an edge calculation layer, bird behaviors are predicted in advance, response delay is compressed, and the bird repelling effect is improved. The delay problem caused by a traditional scheme depending on the cloud is solved.

The application discloses a self-adaptive multi-modal data fusion bridge health monitoring method and system, generates a response sample database through establishment of a bridge nonlinear dynamics equation, pre-processes bridge sensor data and trains a deep learning model to extract damage features, and self-adaptively optimizes model parameters; based on model output, real-time and historical data are combined to perform bridge health evaluation, and a monitoring strategy is dynamically adjusted or early warning is triggered; an edge computing device is deployed to perform pre-processing and damage identification, and long-term trend analysis is realized in cooperation with a cloud platform; macro-structure damage and micro-crack data are fused through cross-scale feature extraction; an artificial intelligence algorithm is used to generate a bridge health evaluation result, a bridge maintenance and repair scheme and a decision-level early warning signal. The application combines nonlinear dynamics modeling, self-adaptive deep learning, edge cloud collaborative computing and cross-scale analysis, improves complex damage identification precision and monitoring intelligent level, and is suitable for large-scale traffic network bridge monitoring management.

This utility model discloses a two-piece diving suit, relating to the field of diving suit technology. It includes a diving suit and diving pants, both with an inner protective layer. This protective layer comprises, from the inside out, a skin-friendly layer, a carbon nanotube heating film, a graphene textile fabric, a thermal insulation layer, microcapsules, a rubber layer, an air bladder, an inner lining, a mounting groove, and an outer layer. During use, the diver quickly puts on the two-piece diving suit and diving pants via a waterproof zipper. A water-sealed collar and waist seal form a sealed protective structure. A battery then powers the carbon nanotube heating film and graphene textile fabric, generating heat. This heat, combined with the microcapsule phase change material, regulates body temperature. During diving, the skin-friendly protective layer ensures comfort, and the graphene textile fabric assists in heat conduction. This device actively combats cold water environments, solving the problem of delayed insulation caused by traditional diving suits relying on heavy, passive materials.

This invention discloses a vehicle-mounted drone video automatic shooting and generation system and method, belonging to the field of drones. The system includes: a vehicle-side component, comprising a main control unit, a data communication gateway, a vehicle and environmental status perception module, an interactive interface, and a cabin power supply interface; a drone-side component, comprising an airborne controller, a communication module, a drone status perception module, and a shooting and flight module; and a cloud-side component, comprising a cloud server. Both the main control unit and the cloud server have built-in AI engines. The main control unit is connected to the data communication gateway, the vehicle and environmental status perception module, the interactive interface, and the cabin power supply interface; the airborne controller is connected to the communication module, the drone status perception module, and the shooting and flight module; and the data communication gateway is connected to the communication module and the cloud server. This invention enables fully automatic generation of high-quality videos in outdoor mobile scenarios.

The invention provides a new energy unit transient stability optimization method and system based on active feed-forward, and belongs to the field of new energy power generation. The system includes a current command generator and a current controller. The method comprises the steps of collecting terminal voltage and current of a unit, calculating active power and detecting a transient fault; when a fault is detected, generating an active current instruction through active feed-forward control based on power grid voltage information obtained by an active power signal, a fault voltage amplitude signal and phase locking; meanwhile, a reactive current instruction is generated; a current reference instruction is synthesized, and a converter is driven through closed-loop control to provide power support. According to the method, an active feed-forward mechanism is introduced, so that the new energy unit can respond to the power shortage of the power grid in advance, active and reactive support is quickly provided, frequency drop and power oscillation in the transient process are effectively inhibited, and the transient stability of the power system under the access of high-proportion new energy is remarkably improved.

The application discloses a method for controlling the stop of an electric regulating valve and related devices, and relates to the technical field of nuclear power plant automation control. The method comprises the following steps: when a system-level command is received, a short-pulse stop command and an open command are synchronously output; a priority processing module is used to preferentially execute the short-pulse stop command, so that the electric regulating valve immediately terminates the current stroke and is kept at the current position. The method avoids the delay problem that, in a traditional control mode, the valve needs to complete the full-range action in the original direction to respond to a new instruction, significantly shortens the response time of the valve to the reverse safety instruction, and ensures that the safety action can be quickly executed under the accident working condition of the nuclear power plant. Meanwhile, after the stop, the full-opening action is directly executed in the reverse direction, the unnecessary full-stroke reciprocating motion of the valve is greatly reduced, the mechanical structure wear is effectively reduced, the service life of the equipment is prolonged, and the operation reliability of the electric regulating valve and the nuclear safety guarantee capability are improved.

The application discloses an intelligent warehouse logistics real-time goods location optimization method and system, relates to the technical field of intelligent warehouse logistics, and discloses the intelligent warehouse logistics real-time goods location optimization method and system. The disclosed intelligent warehouse logistics real-time goods location optimization method and system solve the delay and conflict problems of traditional methods in the peak period, can improve the warehouse operation efficiency and system throughput by acquiring warehouse real-time data, constructing a warehouse dynamic state atlas, generating an initial allocation scheme, inputting a distributed decision network for parallel collaborative evaluation optimization, and issuing a global instruction.

The application discloses an automatic focusing method, system and medium, the automatic focusing method comprises the following steps: identifying the magnification of an objective lens, screening the defocus threshold corresponding to the magnification; constructing the theoretical motion model, the measured motion model and the measured variance of the focusing process parameters in the focusing process, and predicting the focusing process parameters at the next moment; analyzing the deviation between the measured value and the predicted value of the focusing process parameters at the same moment, determining whether the deviation of at least one focusing process parameter is greater than the set deviation threshold, if there is, dynamically adjusting the theoretical motion model; if not, driving the objective lens to focus when the predicted defocus is less than the defocus threshold. The application determines whether to dynamically adjust the theoretical motion model by the deviation of the predicted and measured focusing process parameters, eliminates the error, realizes fast focusing, meets the focusing requirements of objective lenses with different magnifications, and improves the focusing efficiency.

The invention discloses a multi-level agent collaborative decision-making method and system, and the method comprises the steps: carrying out the semantic analysis of an energy-saving standard document, extracting a standard knowledge unit, carrying out the semantic matching of an urban energy consumption target and the standard knowledge unit, and generating a correlation graph; a high-competition target group is identified through target competition degree analysis, collaborative agent pairs are screened through resource complementation degree calculation, and a building-level decision network is constructed; identifying low-load high-potential equipment and performing capability activation through equipment capability scanning and load potential evaluation; conflict intention double-layer features are extracted in combination with conflict detection, a conflict root is traced through a causal chain, and a mediation rule is established; improving the consensus degree of weak consensus nodes by adopting a consensus obstacle traceability and enhancement strategy; and finally, a hierarchical decision scheduling graph is formed through decision dependency analysis, multi-level collaborative decision scheduling is performed to generate a collaborative decision instruction, and comprehensive and intelligent multi-agent collaborative decision support is provided for a city-level energy-saving and carbon-reducing system.

The application belongs to the field of aero-engine design, and is a gas turbine combustor outlet temperature real-time calculation method and system. By analyzing the oil-gas ratio calculation formula, the corresponding relationship between the combustor outlet temperature and the currently measurable parameters during the whole machine test is obtained, the combustor outlet temperature is realized in real time online evaluation, the inlet temperature change and component performance of the high-pressure turbine component can be evaluated in real time; by combining the application of the power turbine inlet exhaust gas temperature test measurement value and the combustor outlet temperature calculation value in the control system, the problem of the delay of the single use of the power turbine inlet exhaust gas temperature limit in the transition state process of the current various gas turbines can be solved, the delay time of the transition state process over-temperature control can be obviously shortened, thereby the working life of the hot end component is improved, and the problems of inaccurate grasp of the existing low-emission gas turbine combustion mode switching point, poor generality of the calculation method and poor effectiveness are solved.

A kind of new water level measurement environmental monitoring operation system of port, including data acquisition module, data processing module, data display module, early warning control module and operation equipment;The data acquisition module is electrically connected with data processing module, the data processing module is respectively connected with data display module, early warning control module, the early warning control module is connected with operation equipment communication;The data acquisition module includes weather monitoring part and radar liquid level meter;The weather monitoring part is used to collect the wind speed, temperature, humidity, PM2.5 concentration data of wharf site;The radar liquid level meter is used to collect the real-time distance data with water surface, and the real-time water level of wharf is calculated in combination with the preset "design highest water level point" and "transfer station layer height distance".The utility model aims at overcoming the problem that environmental monitoring data is dispersed in field production operation, early warning is not timely, and is disjointed with operation process, realizes the real-time acquisition, processing, display, early warning of water level and multidimensional environmental data, and links control operation equipment, improves the safety and reliability of wharf production operation.

The invention relates to the technical field of identification, and discloses an intelligent identification method based on dynamic display, which comprises the following steps: S1, a data acquisition step: acquiring scene environment data and user state data in real time through a deployed environment sensor and a user positioning module; according to the invention, through an environment sensor and a multimode positioning module, multi-dimensional data such as illumination, temperature and humidity, a user position and a moving track are collected in real time, and in combination with a demand classification model driven by deep learning, user demands are accurately divided into three core scenes of navigation guidance, information query and activity reminding. And meanwhile, the priority of the identification content is determined by matching the scene state through the priority ranking model, so that irrelevant information interference of the user can be effectively avoided, the core demand matching accuracy is improved by more than 40%, the method is particularly suitable for complex scenes such as shopping malls and transportation hubs, the user information acquisition cost is remarkably reduced, and the individuation and accuracy of the identification service are improved.

The application discloses an intelligent quality monitoring system in a sesame paste production process, and belongs to the technical field of food processing quality monitoring; the system comprises, in sequence, a roasting machine, a grinding machine, a blending tank and a filling machine, and further comprises: a heat accumulation detection device, a temperature sensor and a timer connected with the roasting machine, and an integral electric signal output; a first electric signal comparison trigger compares the integral signal with a first set value and then drives a gap adjustment motor to automatically change a grinding gap; a multi-channel signal combiner combines and outputs a prediction signal by weighting the grinding temperature, the motor current and the integral signal; and a second electric signal comparison trigger compares the prediction signal with a second set value and then controls an additive electromagnetic valve. The application adopts a pure analog circuit to realize roasting-grinding-blending cross-section feedforward control, does not need programming, has low cost, fast response, and can effectively improve the quality consistency of the sesame paste.

This invention provides a method for transmitting railway Building Information Modeling (BIM) model files based on distributed storage. The method includes: lightweight decomposing the railway BIM model file into multiple sub-files; distributing these sub-files across edge server nodes using a cloud server; transmitting the sub-file list to a gateway; constructing a BIMdex index model; training the BIMdex index model using a training dataset; deploying the trained BIMdex index model locally on the gateway; and when an end device sends a file request carrying a file identifier to the gateway, the BIMdex index model in the gateway queries the sub-file list based on the file identifier, obtains the corresponding BIMdex address index, and returns it to the end device. This invention significantly improves data transmission efficiency by distributing sub-files of the same railway BIM model across multiple physical nodes and combining this with load balancing technology.

This application discloses a speech synthesis method, apparatus, storage medium, and electronic device. The method includes acquiring text data; obtaining speech audio data synthesized from the text data through a preset NAT processing model, wherein the preset NAT processing model includes an encoder, a Gaussian upsampling module, and a decoder; the encoder employs a unidirectional long short-term memory network and a recurrent neural network with controllable inverse delay; the Gaussian upsampling module performs Gaussian upsampling according to preset blocks; the decoder includes a Mel vocoder based on a neural network and an LPL vocoder based on a neural network; and obtaining the synthesized result of the text data based on the processing results of the Mel vocoder and the LPL vocoder based on the neural network. This application solves the technical problems of latency and inability to synthesize speech in the overall speech synthesis system.

The embodiment of the invention provides a database read-write separation method and device, equipment, a storage medium and a program product, and relates to the field of distribution. The method comprises the following steps: analyzing a configured connection character string to create a connection pool group; according to cluster state information corresponding to the connection pool group, dynamically allocating a master library connection or a slave library connection; and updating cluster state information of each connection pool in the connection pool group in real time in the process of dynamically distributing the master library connection or the slave library connection. According to the method provided by the invention, the sensing dimension and the dynamic adaptation capability of the connection pool group to the cluster node state are increased, and the accuracy of the read-write request routing and the utilization efficiency of the connection resource are improved.

The invention provides a vehicle-mounted wireless intelligent monitoring and real-time interference early warning method, and belongs to the technical field of rail transit wireless communication, and the method comprises the steps: synchronously collecting multi-band wireless signals in a rail-mounted interval through a vehicle-mounted sensing terminal; analyzing the collected signals by using multiple parallel demodulation channels to obtain signal parameters; based on the analyzed signal parameters, constructing a signal quality thermodynamic diagram of the rail travel interval in real time, and performing state evaluation by using a dynamic interference early warning model; and when the state evaluation result meets a preset alarm threshold condition, interference early warning information is automatically generated and reported. According to the invention, comprehensive monitoring and accurate early warning of a rail transit wireless communication environment can be realized, the accuracy and real-time performance of interference identification are effectively improved, and stable operation of a CBTC system is guaranteed.

This invention discloses a cloud-edge collaborative self-supervised predictive control system and method for wind turbine thermal management. The system includes a data acquisition module, a data preprocessing module, a self-supervised detection module, and an execution module located at the edge layer, all interconnected via communication. A cloud-edge collaborative interaction module is located at the transmission layer, communicating with the execution module at the edge layer. A thermal fault diagnosis unit and a global thermal management optimization unit are located at the cloud layer; the thermal fault diagnosis unit communicates with the cloud-edge collaborative interaction module, and the global thermal management optimization unit communicates with the thermal fault diagnosis unit. This invention, employing the aforementioned cloud-edge collaborative self-supervised predictive control system and method for wind turbine thermal management, reduces downtime caused by thermal management failures and effectively lowers power generation losses and operation and maintenance costs.

The invention discloses an illumination control device based on a CNN-LSTM hybrid model, and the device comprises a radar sensing module which is used for monitoring the activity data of a person in a target region in real time, and a data processing module which comprises a feature extraction unit, a feature fusion unit, a behavior classification unit, a behavior prediction unit, and an evaluation unit. The feature extraction unit extracts core features according to the activity data, the feature fusion unit fuses the features extracted by the feature extraction unit and then outputs a core feature vector, and the behavior classification unit outputs a global time sequence feature vector by adopting a CNN-LSTM hybrid model and identifies personnel behavior classification. The behavior prediction unit adopts a bidirectional LSTM model to output a prediction result and a prediction confidence coefficient based on the global time sequence feature vector and the spatial historical information, and the evaluation unit is configured to output the prediction result when the prediction confidence coefficient is greater than or equal to a preset confidence coefficient threshold value; and the illumination control module matches an illumination mode according to the personnel behavior classification and the prediction result and generates an illumination control instruction.

The invention provides a high-speed filter stick forming equipment online marking method based on a dynamic window trigger, which comprises the following steps of: accessing an encoder signal of filter stick forming equipment, calculating the minimum detectable pulse number according to the maximum speed and the program execution period of the filter stick forming equipment, and performing pulse compensation; generating a dynamic window trigger with a predetermined total number of output pulses; defining a dynamic window trigger structural body, recording a current encoder pulse position as a starting point when a filter stick type signal rising edge is detected, and dynamically generating a trigger window; meanwhile, an integer type annular queue array with the length of P is defined, an initial pointer cardinal number Base is set, and cyclic updating is carried out according to Base = (Base + 1) mod P when each filter stick is shifted; whether filter stick mark management is executed or not is judged; after enumeration type driven filter stick mark management is carried out, dynamically triggered key tasks are deployed to a real-time task core in a TwinCAT3 software platform, and non-real-time tasks are distributed to a low-priority task core.

This invention belongs to the field of industrial fault diagnosis and intelligent operation and maintenance technology. It discloses a human-computer collaborative fault diagnosis reasoning and maintenance decision support method and system enhanced by Large Language Model (LLM). The steps are as follows: (1) Construct a multi-dimensional industrial knowledge graph integrating alarms, phenomena, causes, and solutions. Through the character-level and semantic-level similarity fusion mechanism driven by the LLM, high-fidelity entity fusion and full causal chain modeling are achieved; (2) The LLM is used to complete entity extraction, knowledge purification, and path refinement. The accuracy and consistency of the knowledge graph are improved through redundancy pruning, semantic merging, and logical sorting; (3) The framework is deployed on a portable edge intelligent system. Local real-time reasoning is achieved based on heterogeneous hardware architecture, and a knowledge closed loop is formed by combining human-computer interaction. This invention effectively improves the accuracy, interpretability, and security of fault diagnosis, realizes real-time operation and maintenance decision support, and is suitable for complex and dynamic industrial fault diagnosis scenarios.

The application relates to a communication chain-free motor control system based on physical layer self-adaption and reflection impedance mapping, which comprises a space magnetic flux self-adaption mechanism; a transmitting end coil of the space magnetic flux self-adaption mechanism is fixed on a primary side fixed base; a receiving end coil is arranged at one end of a secondary side sliding block, and the other end of the secondary side sliding block is connected with a secondary side mounting base through an SMA spiral driver and a balance spring respectively; the secondary side sliding block is slidingly mounted on a linear guide rail support and moves along the axial direction of the linear guide rail support; a metamaterial lens flat plate is coaxially arranged between the transmitting end coil and the receiving end coil; the transmitting end coil is connected with a primary side circuit for energy supply; and the receiving end coil is connected with a secondary side circuit for receiving wireless electric energy and driving a motor. The application cancels a secondary side communication module and a position sensor, converts complex algorithm optimization into self-regulation matching of a physical structure, and significantly improves the dynamic response speed, operation robustness and environmental tolerance of the system under severe working conditions such as strong radiation, deep water and high vacuum.

This disclosure relates to a method, apparatus, electronic device, and computer-readable medium for synchronizing wide tables, belonging to the field of computer technology. The method includes: responding to a synchronization operation instruction for a wide table; obtaining a target single table and an operation type corresponding to the synchronization operation instruction; obtaining the association tree structure of the wide table and determining the target node corresponding to the target single table in the association tree structure, wherein each node in the association tree structure includes a cache object and multiple association condition objects, and each node corresponds to a single table; updating the cache object in the target node according to the synchronization operation instruction; and processing the target single table according to the operation type and the association condition objects of each node in the association tree structure. This disclosure, by performing wide table association calculations in the cache, can ensure real-time synchronization efficiency of wide tables under conditions of limited storage resources or network transmission constraints.

This application discloses a non-blocking data communication method and system based on priority inheritance. The method includes: obtaining the calling end and priority of a target communication task, wherein the calling end of the target communication task is a sender or a receiver; obtaining the current message queue status of inter-thread communication; when the message queue status reaches a preset boundary condition corresponding to the calling end, adjusting the priority of the interacting end of the calling end to the target priority; wherein the interacting end of the calling end is a non-calling end among the sender and receiver, and the target priority is greater than or equal to the priority of the calling end; and executing the target communication task based on the adjusted priority of the interacting end, thereby realizing inter-thread communication between the sender and receiver. The data communication method provided by this application, when the message queue status of inter-thread communication reaches a preset boundary condition, avoids high-priority tasks being blocked due to the low priority of the peer end by adjusting the priority across ends through cross-end priority inheritance, thus ensuring data processing efficiency.

This invention relates to the field of wind energy forecasting technology, and more particularly to a method, system, device, and storage medium for early warning of extreme offshore wind power events based on typhoon forecasting. The method includes acquiring real-time satellite cloud images; identifying and marking regions of typhoons in the satellite cloud images based on their morphological characteristics; obtaining the pixel coordinates of the centroid of these regions and converting them into actual latitude and longitude coordinates to obtain the typhoon's eye coordinates; acquiring infrared satellite cloud images; obtaining the maximum wind speed radius based on the typhoon's eye coordinates; and estimating the current maximum wind speed using a preset wind speed model; calculating the typhoon's short-term trajectory, future maximum wind speed, and maximum wind speed radius using a preset typhoon short-term dynamics integrated prediction model; and predicting the typhoon's impact on a designated location within a future timeframe using a preset typhoon physical model, and calculating the wind speed and direction at that location.

This invention relates to the technical field of intelligent transportation IoT, and provides a method and system for pedestrian red-light violation warning based on intelligent transportation IoT. The method includes: acquiring multi-source local sensing data at a traffic intersection; determining the current state of traffic lights based on the multi-source local sensing data to obtain an autonomous judgment result of the traffic light state; acquiring and monitoring external traffic light state information, and when the update of external traffic light state information is delayed or inconsistent with the autonomous judgment result of the traffic light state, prioritizing the autonomous judgment result to obtain a prioritized traffic light state; judging the pedestrian's red-light violation behavior based on the prioritized traffic light state and combined with the received pedestrian movement trajectory prediction of the crosswalk area; and triggering a warning based on the red-light violation behavior. This invention improves the timeliness and accuracy of pedestrian red-light violation warnings.

The application relates to the technical field of high-speed digital interface design, and discloses an ECRC parallel verification system and method of a PCIe receiving end, the system comprising a plurality of ECRC verification modules and a distribution control module; the plurality of ECRC verification modules are arranged in parallel, and the maximum processable bit width gradually decreases stage by stage; each ECRC verification module is used for performing ECRC verification of variable bit width; and the distribution control module is used for distributing at least two TLP data packets to different ECRC verification modules for parallel verification according to bit width information of the TLP data packets. The application reduces resource redundancy through dynamic bit width adjustment, can complete parallel verification of multiple TLPs in a single beat, supports processing of TLPs in multiple beats, can meet the performance requirement of high-speed communication, and can greatly reduce area overhead.