40results about How to "Reduce processing delay" patented technology

The invention relates to the technical field of tunnel engineering monitoring, in particular to a tunnel health monitoring method and system based on edge computing, and the method comprises the steps: a data collection module obtains the original state data of a tunnel through a sensor deployment network, carries out the primary processing of the original state data based on edge computing, and obtains the actual state data; during the period, the data acquisition module performs data filtering on the original state data based on a state data threshold value, rejects invalid data in the original state data and marks abnormal data in the valid data according to an anomaly detection algorithm, and the remaining unmarked original state data is the actual state data of the tunnel; and the monitoring cloud platform obtains the actual state data every a preset period, and carries out data summarization, data storage and data analysis processing on all the actual state data. The system has the beneficial effects that part of calculation tasks are issued to the data acquisition module, so that the processing burden of the monitoring cloud platform is reduced, and the real-time performance and effectiveness of monitoring and early warning are improved.

The invention provides a multi-controller data writing method and device, electronic equipment and a storage medium, and the method comprises the steps: receiving a data writing request, and determining to-be-written data corresponding to the data writing request and a target data strip in which the to-be-written data is to be written into an RAID (Redundant Array of Independent Disks); accessing metadata in the associated memory, and determining a target value of a bit corresponding to a target data strip in the metadata; and based on the target numerical value, determining whether the target data stripe is occupied, and determining whether to execute a data writing operation corresponding to the to-be-written data. The memory resource sharing among the memory controllers is realized through the memory consistency interconnection among the plurality of memory controllers, and the plurality of memory controllers are directly associated together through the interconnection memory, so that the serial connection of the physical level is realized. According to the technical scheme, the mode that the multiple storage controllers jointly operate the same part of metadata in the interconnected memory is adopted, a stripe lock mechanism is cancelled, the IO writing processing time delay is reduced, and the data writing efficiency is improved.

The invention discloses a data distribution method and device, related equipment and a computer readable storage medium. The method comprises the following steps: acquiring first information; the first information represents user plane information of at least one first user; the first information comprises at least one of the following information: GTP-U tunnel identification information; iP address information of the UE; associating the first information with identity identification information of a corresponding first user to obtain second information; the second information represents association information of the first information and identity identification information of a corresponding first user; reporting the second information to a shunting device; and the shunting equipment is used for performing data shunting by using the second information. The user plane information is dynamically allocated when the user accesses the network, and the user plane information needs to be dynamically allocated again when the user accesses the network again, so that the difficulty of acquiring the user plane information of the local user by an illegal user is greatly increased, and the security of the local application is enhanced.

This invention discloses an HPAM-DMT-NOMA method based on time-domain preprocessing, comprising: At the transmitting end, PAM modulation is performed on the input user transmission bits to generate PAM symbols; after power superposition, serial-to-parallel conversion, and Hermitian symmetry, the symbols are allocated to two signal components for HPAM-DMT transmission; the frequency domain signals of PAM-DMT and RPAM-DMT are calculated; an IFFT operation is performed to obtain the time domain signal; the time-domain preprocessed signal is calculated; the RPAM-DMT time domain signal is calculated and superimposed on the clipped PAM-DMT signal for synchronous transmission to obtain a mixed signal; a reconstructed signal is introduced, processed, and input to drive an LED for illumination; at the receiving end, the received signal is processed to generate a frequency domain signal, and finally, the multi-user signal is recovered. This scheme eliminates clipping noise interference between the mixed signal components, avoids error propagation problems, and achieves high spectral efficiency and power efficiency.

The present invention discloses a method and device for fast access and efficient link building of multimodal network nodes. The present invention includes: when any source host A needs to send the first data packet to the destination host B, checking whether there is an ARP table entry of the destination host B on the source host A; if not, the source host A obtains the host information of the destination host B from the multimodal network controller through the switch to which it is connected to learn to generate the ARP table entry of the destination host B, and sends the flow table entries to each switch in batches through the multimodal network controller; the source host A sends the first data packet and subsequent data packets to the destination host B through the switch to which it is connected according to the ARP table entry of the destination host B. The present invention aims to speed up the construction speed of the communication link between hosts, reduce the data packet transmission delay, and improve the overall performance of the network and the controller.

This invention discloses a requirement tracking method, apparatus, device, and medium based on a large language model, relating to the field of artificial intelligence technology. The method includes: performing hierarchical structure tracking and nested table linearization on the document to be processed, and semantically segmenting it; submitting each text block in parallel to a large language model to extract structured requirement items according to preset fields; calculating the cosine similarity between requirement items using an embedding model to recall a candidate matching set; then using the large language model to perform semantic association matching and coverage determination to obtain association mapping data; using the large language model to perform multi-level semantic matching on the requirement items, constructing a multi-level tracking link that supports cross-level matching between non-adjacent documents; and parsing the test item result description text and mapping it to a completed state when the link ends and contains a test document. This invention can improve the automation and accuracy of requirement item extraction, association matching, coverage determination, and full-link tracking, and enhance the fault tolerance of the tracking link.

This invention provides a perception fusion arbitration method and system based on vehicle-to-everything (V2X) communication. The method includes: acquiring a ground truth model of the perception system for the road environment and meteorological information; acquiring perception information and data quality parameters from each sensor in the vehicle-mounted perception system; retrieving the influence coefficients of each sensor corresponding to the meteorological information and calculating the perception quality score of each sensor based on the data quality parameters to determine the optimal sensor; selecting candidate arbitration ratios from a pre-set perception fusion arbitration ratio case library; performing simulated fusion calculations on the perception information; comparing the matching degree of each fusion result with the ground truth model of the perception system to determine the optimal arbitration ratio; and sending the result to the vehicle controller. This invention achieves adaptive output of the optimal vehicle-mounted sensor fusion weight ratio according to the specific meteorological environment, significantly reducing the perception misidentification rate in adverse environments such as rain, snow, fog, and sandstorms, ensuring the perception prediction accuracy of the autonomous driving system in all weather conditions.

The application discloses a dynamic charging coordination method, system, equipment and medium under open sea grid monitoring, relates to the technical field of open sea monitoring and energy management, and comprises grid dynamic division and equipment priority allocation; the light receiving efficiency is optimized by adjusting the inclination angle of the photovoltaic film, a task adjustment and energy management balance mechanism is constructed, and abnormal detection and cooperative response are carried out based on a multi-sensor fusion technology. The method disclosed by the application carries out grid dynamic division and equipment priority allocation, optimizes the grid boundary by using a hierarchical quadtree algorithm and real-time data, improves the utilization rate and monitoring accuracy of monitoring resources, optimizes the inclination angle of the photovoltaic film and the task energy management balance mechanism, improves the task completion efficiency while ensuring long-time endurance of the equipment, and accurately identifies complex abnormal events and quickly allocates response tasks based on the abnormal detection and cooperative response of the multi-modal sensor fusion technology, thereby improving the efficiency and intelligent level of the monitoring system as a whole.

The invention relates to an edge calculation method and system of an edge server. The method comprises the following steps: sending to-be-processed data generated by terminal equipment to a nearest edge server for data complexity calculation; when the complexity is not greater than a preset complexity threshold, sending the to-be-processed data to a matched edge server for processing, otherwise, performing data decomposition to obtain data blocks with different complexities; according to the data type and the corresponding complexity, different data blocks are transmitted to a matched edge server for processing and sent to the nearest edge server for fusion processing, and the fusion processing is returned to the terminal equipment; data prediction is carried out through the data prediction model, a prediction result is transmitted to the data decomposition module for pre-decomposition, and after decomposition is carried out according to a pre-decomposition scheme, the prediction result is sent to a matched edge server for data processing; and the matched edge server transmits the data processing result to the nearest edge server for data fusion and then returns the data processing result to the terminal equipment, so that processing of large-scale data and complex calculation tasks is realized.

The invention relates to the technical field of mobile communication, in particular to a software-defined wireless Mesh network self-adaptive networking method based on multi-link cooperation, which comprises the following steps that: each node discovers neighbor nodes, and links of three different frequency bands are connected to form a Mesh network; an SDN controller is introduced, node state information is collected in real time, and an optimal route is selected as required according to different message types and link characteristics in combination with network topology changes and service requirements; and when the node has a fault or is off-network, combining with a node mobility management mechanism, enabling a routing protocol to converge quickly, and adjusting a transmission path at the same time. According to the invention, software is adopted to define routing, the controller uniformly distributes routing and link selection, and on-demand routing according to service types can be realized; the link weight is adaptively changed by collecting network state information, and a proper route and a proper link are selected according to the link condition and the service type; and an E-Dijkstra algorithm is adopted, so that rapid decision-making of routing and link selection can be realized, and the processing time delay is reduced.

The application discloses a data collection method and device, related equipment, a storage medium and a computer program product. The method comprises the following steps: an access network device receives first information sent by a first function, the first information is used for indicating that data related to a first task is collected, the first task is related to digital twinning, and the first function is used for processing at least user plane data; second information is sent to one or more terminals, the second information is used for indicating that data related to the first task is collected; first data reported by the one or more terminals is received, the first data contains one or more first vectors, and the first vector comprises a vector obtained by performing feature characterization on the collected data by the terminal; the received one or more first data and second data are fused and characterized to obtain a second vector, the second data contains data related to the first task locally stored in the access network device; and third data containing the second vector is sent to the first function.

The present invention belongs to the technical field of hardware reliable transmission, and discloses a method, system and terminal for random reorganization and precise retransmission request of large packet data. The method utilizes an on-chip cache for storing data frames and an index information table for storing data storage addresses and information. When the on-chip storage is full, the data frames are stored in an off-chip cache. The on-chip and off-chip caches are used in conjunction with the index information table to realize frame loss detection and precise retransmission request of data frames, support reliable transmission of data connected between any two devices in the network, support frame loss detection of data packets and sending retransmission request to the opposite end. The present invention accelerates the performance of big data processing through joint scheduling on and off-chip, reduces network processing delay, and achieves precise retransmission. The present invention improves the performance of large packet data by random reorganization and precise retransmission request after frame loss, and combines on-chip and off-chip caches to improve the performance of large packet data, which can well solve the performance degradation caused by delay and other retransmission mechanisms.

The invention provides a coherent de-dispersion method for pulsar baseband data. The method comprises the following steps: establishing a data transmission mode among a data reading thread, an input buffer area, a multi-thread parallel coherent de-dispersion thread, an output buffer area and a file writing thread based on a HASHPIPE architecture; preprocessing data frames of the VDIF data and storing the data frames into an input buffer area; executing a multi-thread parallel coherent achromatic thread by using data of the input buffer area, and writing a result into the output buffer area, wherein data splitting, FFT, frequency conversion, complex multiplication, frequency conversion, IFFT, filling detection power removal and Stokes parameter calculation are realized; and calling a file writing thread to write the data in the output buffer area into the file. According to the method disclosed by the invention, while the coherent de-dispersion process is accelerated by applying multiple threads in parallel, the acceleration processing process of the GPU is further optimized by using the HASHPIPE architecture for parallel processing, so that the processing performance is remarkably improved.

The application discloses a data shunting method and device, related equipment and a computer readable storage medium. The method comprises the following steps: obtaining first information; the first information represents user plane information of at least one first user; the first information comprises at least one of the following: GTP-U tunnel identification information; IP address information of a UE; associating the first information with identity identification information of the corresponding first user to obtain second information; the second information represents association information of the first information and the identity identification information of the corresponding first user; and reporting the second information to a shunting device; the shunting device is used for shunting data by using the second information. In the application, the user plane information is dynamically allocated when a user logs in a network, and the user plane information needs to be dynamically allocated again when the user logs in the network again, so that the difficulty of obtaining the user plane information of a local user by an illegal user is greatly increased, and the security of a local application is enhanced.

This invention provides an obstacle segmentation method, apparatus, electronic device, and storage medium, relating to the field of target recognition technology. The method includes: acquiring translational and rotational extrinsic parameters of multiple sensing devices in a device coordinate system, wherein the multiple sensing devices are positioned on a device under test corresponding to the device coordinate system; the translational extrinsic parameters are determined based on the spatial position parameters of each sensing device in the device coordinate system, and the rotational extrinsic parameters are determined based on the attitude tilt angle parameters of each sensing device in the device coordinate system; calculating a global point cloud based on the translational and rotational extrinsic parameters, wherein the global point cloud is a stitched result of the point clouds of multiple sensing devices in the device coordinate system; performing ground segmentation on the global point cloud, removing the ground point cloud to obtain an obstacle point cloud; projecting the obstacle point cloud into a two-dimensional grid map, and determining the obstacles corresponding to the obstacle point cloud based on the two-dimensional grid map. This application can meet the stable perception requirements of autonomous driving systems in complex environments.

This application provides a method, apparatus, and network element for transmitting GTP-U messages. The method includes: a first user plane function sending relevant parameters of a GTP-U message to a first network function by invoking a service-based operation between the user plane and a first network function; by invoking a service-based operation once, relevant parameters of one or more paths or tunnels can be carried, which greatly reduces the overhead and resource waste of sending multiple GTP-U messages under multiple paths or tunnels, and can also reduce message processing latency.

The invention relates to a DPU-based multi-queue fragmented message recombination method and device, equipment and a medium. The multi-queue fragmented message recombination method based on the DPU comprises the following steps: receiving a network data stream, the network data stream comprising fragmented data packets; copying the fragmented data packets to each recombination queue through a hardware layer; performing recombination processing on the fragmented data packets in the recombination queue through a software layer to obtain corresponding original data packets; and sending the original data packet to a transmission layer. According to the embodiment of the invention, the processing efficiency can be improved, and the processing time delay is reduced.

The invention discloses a high-availability method based on parallel management of a mock mechanism, which comprises the following steps of: completing the construction of a dependency relationship between transmission control and main / standby synchronization confirmation and disk dropping completion confirmation, regularly checking main / standby synchronization and disk dropping completion conditions by a transmitting end, setting a platform to be in a trigger mode when the pressure is low, and performing service non-perception transmission control. Primary and standby synchronization and disk dropping of service processing data and data are carried out in parallel, a primary and standby synchronization channel is established between primary and standby nodes in a cluster, a communication protocol determines that a standby point replies a confirmation message when receiving primary point synchronization data, a mock mechanism is established, and a receiving node without a synchronization channel actually sending data also replies the confirmation message. According to the method, main and standby point logics are not distinguished outside a communication layer, during main and standby switching, breakpoint interaction does not need to be carried out on cluster management, logic switching can be completed, the problem that high-availability confirmation and services are mutually dependent is solved, cluster processing time delay, service processing state independence and cluster state management seamless switching are reduced, and the overall performance is improved.

The invention provides a mine micro-seismic background noise suppression method and system based on an FCN and a residual attention mechanism, and the method comprises the steps: carrying out the preprocessing of simulated micro-seismic data and actual measurement micro-seismic data, and constructing a training data set and a test data set according to the obtained noise-containing simulated image data and noise-containing actual measurement image data; constructing a hybrid deep learning model based on a full convolutional network FCN and a residual attention mechanism; training the hybrid deep learning model by using the training data set, the test data set and the composite loss function; and inputting to-be-processed noisy mine microseismic data into the trained model to obtain a denoised microseismic signal, and verifying the noise suppression effect of the model. According to the method, through cooperative processing of the convolutional neural network and the multi-head self-attention mechanism, homologous noise can be effectively separated, and efficient suppression of complex background noise in a microseismic signal is realized.

This invention relates to the field of the Internet of Things (IoT) for power systems, providing a collaborative reasoning method, system, and electronic device for power edge intelligence. The method includes: predicting the computational complexity of a task based on acquired task data by edge intelligent nodes; determining whether to offload the task to multiple edge intelligent nodes in an edge computing network for distributed collaborative reasoning based on the task's computational complexity; when determining to offload the task to multiple edge intelligent nodes for distributed collaborative reasoning, acquiring the status information of the currently available edge intelligent nodes in the edge computing network, and determining a task partitioning strategy among the currently available edge intelligent nodes based on the status information; offloading the task to the currently available edge intelligent nodes according to the task partitioning strategy; and completing the task's reasoning computation collaboratively through the collaboration of the currently available edge intelligent nodes. This invention enables power edge cluster collaboration, optimizing inference latency and load balancing.

The present invention relates to a PRACH format determination method based on an LTE PRACH time domain frame structure. The present invention proposes a PRACH format and Zadoff‑Chu (ZC) index number parameter synchronization method using a time-frequency signal structure for an LTE PRACH signal. The method uses the cyclic prefix structure of a PRACH signal frame and the cyclic prefix and preamble sequence lengths under different PRACH formats in the time domain to perform multiple rounds of binary classification on the format of the PRACH signal frame. In the frequency domain, the constant amplitude characteristic of the ZC sequence is used for verification. The method can accurately determine the format of the LTE PRACH signal frame, and since it does not need to decode the system information module parameters from the upper layer, it has lower implementation complexity and processing delay.

The present application provides a ship target detection and tracking method for GEO remote sensing satellites, comprising: a ground station receives imaging data transmitted in the form of a real-time code stream in real time, and the received imaging data is transmitted to a user end in the form of real-time code stream data; in a preprocessing module of the user end, the imaging data is preprocessed to generate a sequence of image products, wherein the preprocessing of the imaging data includes the screening of imaging spectrum bands; the preprocessing module performs geographic location registration on each frame of image product generated, and simultaneously and in parallel performs ship target extraction on the frame of image product, wherein the ship target extraction includes: slicing the frame of image product according to a preset position point to obtain a frame of image slices; detecting and extracting the coordinates of the ship target in the frame of image slices; and correcting the coordinates of the ship target in the frame of image product using the geographic location registration result of the frame of image product.

The invention relates to the technical field of civil aviation data processing, in particular to a freight rate calculation cloud service system, a freight rate calculation method and electronic equipment, and the system comprises a master control module, a data module and an interface module; wherein a data mapping table is stored in the master control module; the data module is configured to respond to a freight rate calculation request through the interface module; and after receiving a data change notification sent by the master control module, loading new data and notifying the master control module, so that the master control module updates the data mapping table. According to the freight rate calculation cloud service system, after the service data is loaded, the calling consistency of the whole link can be guaranteed, the system has the capacity of designated grouping, the data layer adopts a distributed preprocessing mode, the system does not depend on a special dual-network environment any more, and the system is simple in structure and convenient to use. Moreover, in the freight rate calculation cloud service system provided by the invention, through micro-service splitting, physical resources are fully utilized.

Methods, apparatuses, devices, media, and program products for payment are provided. The method includes: in response to receiving a payment request from an agent, determining a matching degree between the payment request and intention description information, the intention description information being constructed based on natural language input triggering the payment request; and processing the payment request based on the matching degree. In this way, it can be judged whether the payment request initiated by the agent still belongs to the user's current task goal and task scope before the payment is executed, thereby supporting differentiated payment processing with a quantitative matching degree.

The present disclosure relates to the technical field of computers, and particularly relates to a solution method, device, equipment, medium and program product for consumption delay; the method comprises the following steps: acquiring a first message accumulation quantity corresponding to a preset theme queue; matching the first message accumulation quantity with a preset interval to obtain a target interval to which the first message accumulation quantity belongs; when an adjustment strategy corresponding to the target interval belongs to a preset category, adjusting the number of message partitions in the preset theme queue according to the adjustment strategy; through monitoring of the first message accumulation quantity and determination of the target interval to which the first message accumulation quantity belongs, the embodiment realizes dynamic adjustment of the number of message partitions in the preset theme queue, timely solves the accumulation of messages in the message partitions, reduces the message processing delay, and improves the message processing efficiency.

This invention relates to the field of computer data processing, and discloses a method and system for multi-agent task data processing. The method includes acquiring asynchronous task data submitted by other agents and evaluating its semantic completeness level. When the level does not reach a preset threshold, an interface template is matched from a historical abstract syntax tree template library and concatenated with the asynchronous task data to generate virtual branch context data for look-ahead inference. After acquiring structured supplementary data, real context data is constructed. If there are differences between the real context data and the virtual branch context data, the program dependency graphs of the two are extracted for topological comparison, the difference features are determined, local recalculation is performed, and the updated result is output. This invention solves the problems of ineffective computational resource consumption and excessively high cost of full recalculation in a single agent under semantic fragmentation.

This invention discloses a collaborative offloading method, apparatus, system, and storage medium for mobile edge computing networks, comprising: step S1, constructing a target optimization function based on a semantic-based task model, communication model, and computing model; step S2, optimizing the A-MAPPO algorithm using a multi-agent attention strategy incorporating an attention mechanism based on the target optimization function, thereby achieving joint optimization of offloading decision, semantic compression ratio, and bandwidth allocation. The technical solution of this invention can significantly reduce system task processing latency in extremely constrained scenarios, providing a complete and feasible technical implementation path for highly reliable, low-latency collaborative computing offloading services in resource-constrained MEC networks.

The application relates to the field of equipment state monitoring, and particularly discloses an oil depot pump set abnormality identification system and method, which comprises a multi-type data acquisition module, an adaptive threshold adjustment module, a multi-modal deep learning fusion identification module, an abnormality trend prediction module and a correlation decision support module; the multi-type data acquisition module is used for acquiring vibration signals, physical state signals of an oil depot pump set and characteristic parameters of an operation environment and a load where the oil depot pump set is located, converting the vibration signals into two-dimensional time-varying spectrum features, converting the physical state signals into standard time sequence data, and transmitting the standard time sequence data to the multi-modal deep learning fusion identification module; the technical scheme can reduce false alarm and missed alarm probabilities, realize deep fusion of data body features of multi-type sensors, and can guide maintenance decisions according to state monitoring.

The invention provides a channel estimation method and device, electronic equipment and a storage medium, and the method comprises the steps: determining target terminal equipment which needs to be subjected to channel estimation processing at present; splitting the channel estimation task according to the number of the target terminal devices, the number of receiving antennas of the network device, a first threshold value and a second threshold value to obtain a plurality of channel estimation sub-tasks; performing parallel processing on the plurality of channel estimation sub-tasks to obtain a first channel estimation value of the to-be-filtered time slot of the target terminal equipment; wherein the first threshold value refers to the maximum number of the terminal devices processed by each channel estimation subtask, and the second threshold value refers to the maximum number of the receiving antennas processed by each channel estimation subtask. Therefore, the channel estimation task is split into the plurality of channel estimation sub-tasks according to the granularity of the terminal equipment and the granularity of the antenna, and the plurality of channel estimation sub-tasks are processed in parallel, so that the processing time delay of the channel estimation task can be reduced, and the channel estimation efficiency can be improved.

The invention relates to an access control list information processing method, a router, a device, network equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: receiving a message; searching a matching table item of the message in a second access control list; the second access control list is stored in a cache space of the network processing chip; second table items contained in the second access control list are screened from the original table item set; if the matched table item is not found in the second access control list, searching the matched table item in the first access control list; the first access control list is stored in the internal memory; the first access control list at least comprises a first table item; the first table item is the table item except the second table item in the original table item set. By adopting the method, the searching efficiency of the table items of the access control list can be improved.