239results about How to "Improve data transfer efficiency" patented technology

The invention discloses a cloud edge cooperative control method, which comprises the following steps: establishing a cloud edge cooperative architecture, collecting data by edge nodes, and selecting a corresponding data compression strategy to compress the data; generating an edge-cloud collaborative uploading data stream; the cooperative control layer executes adaptive load balancing based on a cloud-side node state, task characteristics and a network condition which are monitored in real time so as to realize task allocation and scheduling between the cloud and the side; the cloud receives the data stream transmitted by the edge node, decompresses and processes the compressed data according to the metadata information, completes the task and feeds back an execution result; a node performance prediction model is constructed by using system state monitoring information, a task allocation strategy and a resource allocation and data compression strategy are adjusted in real time according to a prediction result, and cloud-side collaborative optimization is realized. Efficient data transmission, flexible task scheduling and self-adaptive resource management are realized, and the performance of the system in a complex and changeable environment is comprehensively improved.

The invention discloses a data cooperative transmission method and system for a low earth orbit satellite Internet of Things terminal, and the method specifically comprises the steps: carrying out the classification cutting of environment data, and forming a plurality of environment data subsets; determining a plurality of cooperative sending terminals and respective optimal communication paths between the first low earth orbit satellite Internet of Things terminal and each cooperative sending terminal based on a communication topological structure relationship between the low earth orbit satellite Internet of Things terminals in the ad hoc network; transmitting the environment data subsets with different priorities to corresponding cooperative sending terminals through different optimal communication paths; and according to the environment data subsets sent by each cooperative sending terminal and received by the low-orbit satellite, splicing the environment data subsets and forwarding the spliced environment data subsets to a target terminal or a ground station or a data center. According to the invention, the cooperative effect among a plurality of low-orbit satellite Internet of Things terminals can be fully utilized, and stable and reliable data transmission under the requirements of large data volume and high real-time performance is realized.

The invention provides a low-altitude industry chain information intelligent cooperation and airspace management platform based on federal learning. Through cluster ad hoc network and decentralized federated learning, the method is divided into three stages of data acquisition, data preprocessing and analysis application, low-altitude scene data communication of dynamic topology and static topology is realized, and the efficient communication requirement in a low-altitude operation scene is met. According to the system, differential data transmission strategies are adopted, optimization design is carried out on a single machine, a co-task cluster, a cooperative cluster and a non-cooperative cluster, and the communication efficiency and the resource utilization rate are improved. In the data preprocessing stage, federated learning aggregation of multi-source data fusion, data anonymization and decentralization is combined, and data privacy protection and safe sharing of three parties of industry, university and research are ensured. In the analysis and application stage, low-altitude aircraft task scheduling, airspace flow control and environmental condition evaluation are realized through aircraft analysis, airspace analysis, environmental analysis and digital twinborn technologies.

The invention provides a CT acquisition control communication system and method based on hybrid networking of multiple communication modes. The CT acquisition control communication system comprises a CT stator part communication subsystem, a CT rotor part communication subsystem and a master control PC. The master control PC comprises an upper computer, is operated through a visual interface and is responsible for task scheduling, scanning protocol setting, parameter configuration, data processing, patient registration, working state monitoring and image reconstruction of the whole system; the CT stator part communication subsystem comprises a lower computer core control module, a first WIFI module, a first switch, a rack control module, a patient bed control module, a power management module and a control handle; and the CT rotor part communication subsystem comprises a data acquisition and pay-off control module, a second WIFI module, a second switch, a collimator control module and a detector data acquisition and processing module. According to the invention, the overall communication efficiency and stability of the CT system and the expandability of the communication network can be improved, and the later maintenance cost of the communication system is reduced.

A CAE simulation result visualization system supporting multiple interaction modes comprises a multi-resolution rendering module used for obtaining interaction behaviors of a user and dynamically adjusting the resolution of a rendering area according to the interaction behaviors of the user; the key frame and time step screening module is used for analyzing the input simulation data, automatically screening out key frames and detecting the time step change of the simulation data according to a time sequence analysis method; the data compression and simplification module is used for compressing the data by using a feature-preserving compression algorithm, performing incremental storage and sparse representation on the compressed data, and recording data changes; and the dynamic local playing and frame-skipping rendering module is used for acquiring a user local time playing instruction, and processing user local time and non-user local time respectively through a frame-skipping rendering method so as to realize multi-frame rendering and switching. According to the method, the data analysis efficiency is improved, the rendering and data transmission efficiency is improved, and computing resources are saved.

The invention discloses a protocol method for realizing intelligent connection of a PLC (Programmable Logic Controller) with an AI (Artificial Intelligence) large model, which relates to the technical field of industrial automation, and comprises the following steps: in a PLC system, configuring an MCP client module by defining basic parameters of an MCP, and embedding a context management module in the MCP, the basic parameters comprising a data format, a communication protocol and a security mechanism; and establishing a bidirectional communication channel between the PLC and the AI system based on the configured MCP client module. According to the protocol method for intelligently connecting the PLC with the AI large model, seamless connection between the PLC and the AI system is achieved by defining a unified data format, a communication protocol and a security mechanism, the complexity and the error rate of data transmission are reduced, the overall data transmission efficiency is improved, and the method is suitable for popularization and application. The context management module embedded in the MCP can store and manage historical data, so that the AI system can make intelligent decisions based on comprehensive data, and the accuracy is improved.

The invention discloses a meat product foreign matter on-line detection method and system, and belongs to the field of visual detection.The detection method comprises the steps that a fixed detection area is set, a multi-mode sensor is installed above the fixed detection area, and the multi-mode sensor collects data and transmits the data to a data processing center through a wireless network; the data processing center decompresses and preprocesses the received data and fuses the image data twice to obtain a final fused image; according to the feature information in the final fusion, extracting fusion feature data; analyzing the feature data by using a support vector machine, and judging whether foreign matters exist or not and classifying the types of the foreign matters; a detection result is fed back to a production line control system in real time, and meat products containing foreign matters are positioned and removed. According to the method, the multi-mode sensor and an efficient data analysis technology are combined, and the accuracy and the real-time performance of meat product foreign matter detection are effectively improved.

The invention discloses an artificial intelligence big data processing and management system and a data acquisition module, belongs to the field of big data processing, and comprises a data acquisition module, a preprocessing distribution module and a data analysis module. The method comprises the following steps: performing data acquisition on a plurality of data sources, and monitoring a data acquisition process to obtain logs and data acquisition time; preprocessing and privacy judgment are carried out on received collected data by utilizing a trained random forest model, and metadata is uploaded to a private chain or a public chain according to a label in a judgment result; an original data set is grouped by constructing a K-Means clustering algorithm model, the similar distance between each feature vector and a cluster center is calculated, and the consistency of a clustering result and real classification is evaluated; by analyzing the data transmission process, the data transmission interference ratio and the data transmission rate are obtained, and the data transmission effect is evaluated.

The invention provides an unmanned aerial vehicle control link system and method, the unmanned aerial vehicle control link system comprises an unmanned aerial vehicle end control module, a ground station control module and a communication link module, and the communication link module is a multi-link redundant communication link module; the ground station control module is used for generating a control instruction and sending the control instruction to the unmanned aerial vehicle end control module through the communication link module; and the unmanned aerial vehicle end control module is used for receiving the control instruction of the ground station control module and controlling the flight and task execution of the unmanned aerial vehicle. According to the technical scheme, by adopting the multi-link redundancy design, the stability and reliability of a communication link are improved, and continuous control of the unmanned aerial vehicle in a complex environment is ensured.

The invention relates to the technical field of data processing, and discloses an esophageal cancer patient nursing remote monitoring system and method capable of improving the nursing level, and the system comprises a data collection module, a personalized data transmission module, a remote monitoring center and a remote service module. The personalized data transmission module is used for predicting potential key data of a patient by using a collaborative recommendation algorithm, distributing corresponding personalized transmission parameters to the potential key data and non-potential key data in the monitoring data, and transmitting the monitoring data to the patient based on a 5G communication technology and the corresponding personalized transmission parameters; the potential key data and the non-potential key data are transmitted to a remote monitoring center; and the remote monitoring center is used for receiving the monitoring data and performing remote monitoring analysis on the nursing condition according to the monitoring data. According to the method, the doctor seeing burden of the patient can be relieved, medical staff can obtain key data in the first time, a more appropriate treatment scheme is formulated for the patient, and therefore the overall medical care level is improved.

The embodiment of the invention provides a data storage method and device in a direct connection mode, electronic equipment and a computer readable storage medium, and relates to the technical field of video transmission. Comprising the following steps: receiving a pixel value and first address information of a first pixel; determining a first physical storage address of the first pixel in a memory, a first target strip to which the first pixel belongs and a target matrix corresponding to the first target strip; determining a first target address block to which the first physical storage address belongs, a first position of an identifier of the first target address block in the initial address block matrix, and a second position of the first physical storage address in the first target address block; and determining a second target address block corresponding to the first position in the target matrix corresponding to the first target strip, and storing the pixel value of the first pixel in a physical storage address corresponding to the second position in the second target address block. According to the embodiment of the invention, the data transmission efficiency in the direct mode is improved, and the consumption of physical resources is reduced.

The invention relates to the technical field of Internet of Things, in particular to an Internet of Things intelligent linkage control method and an Internet of Things intelligent linkage control device, and the method comprises the steps: S1, obtaining the working state of home equipment and the real-time data of environment information, and transmitting the real-time data to a central control platform; s2, preprocessing the real-time data to obtain preprocessed data; s3, analyzing the preprocessed data, and generating a corresponding linkage control instruction; s4, encoding the linkage control instruction to generate encoded data, and performing lossless compression on the encoded data by adopting a ZSTD compression algorithm to obtain a compressed code; s5, searching an optimal sending communication network by adopting a flora optimization algorithm, and sending the compressed code to the home equipment; and S6, the home equipment decompresses the compressed code by using an LZMA compression algorithm, and executes the linkage control instruction. According to the invention, the ZSTD compression algorithm and the flora optimization algorithm are adopted, the delay of data transmission and processing is significantly reduced, the overall response speed of the smart home system is improved, and the user experience is better.

According to the model training-oriented gradient data transmission method and the related equipment provided by the invention, the compression ratio is dynamically determined according to the change of the transmission rate by monitoring the transmission rate in real time, so that the gradient data can be intelligently compressed according to the compression ratio, the data transmission quantity is remarkably reduced, and the network burden is relieved; and meanwhile, the transmission rate of each working end is adjusted through congestion control according to the bandwidth of a transmission link between the switch and the parameter server so as to relieve congestion. Under the combined action of the two, the transmission time of the gradient data is remarkably shortened, and the data transmission efficiency is improved, so that the training process of the distributed artificial intelligence model is accelerated, and the overall training efficiency is improved.

The invention relates to a multichannel PCM data real-time acquisition and output system and method based on an ALSA framework, and the system comprises a multichannel analog quantity input unit and a multichannel analog quantity output unit, and also comprises a system configuration unit, a memory resource unit, an AD acquisition conversion unit, an audio routing unit, a DA output conversion unit and an ALSA DMA cache region distribution unit. The ALSA DMA cache region allocation unit is used for building a PCM data path of a user space and a kernel space and providing an annular cache region queue for storing DMA resource descriptors, and the audio routing unit obtains the returned DMA resource descriptors from the ALSA DMA cache region allocation unit and allocates the DMA resource descriptors to an output end to complete synchronous multichannel input and output of PCM data. According to the system provided by the invention, the ALSA DMA buffer area distribution unit is adopted, so that the DMA configuration process is simplified, and the data transmission efficiency is improved.

The embodiment of the invention provides a data transmission method and a computing node. The method is applied to a first computing node of a computer cluster, the computer cluster comprises a plurality of computing nodes, a storage node and computing interconnection CXL equipment, the plurality of computing nodes are connected with the storage node through the CXL equipment, and the plurality of computing nodes are further connected through Internet links. The method comprises the steps that a first computing node stores target data in a target storage position of a target storage node through CXL equipment, the first computing node is any computing node in a plurality of computing nodes, and the storage nodes comprise the target storage node; the first computing node sends a notification message to the second computing node through the internet link, the notification message comprises the node information of the target storage node and the target storage position, and the second computing node is any computing node except the first computing node in the plurality of computing nodes. Through the method, the data transmission efficiency in the computer cluster can be improved.

The invention discloses a single-face array low-altitude radar target recognition system based on deep learning, and the system comprises a data collection module which obtains the radar echo data of different targets in various environments, a receiver has a specific sampling frequency and a dynamic range, the collection time is set according to the characteristics of the targets, and the data is compressed and stored; the data preprocessing module is used for denoising, clutter suppression and normalization; the feature extraction module extracts features by using CNN; the target recognition module classifies and recognizes a target; the model training and optimizing module is used for training a model and optimizing parameters; and the visual display module displays the result. According to the invention, data can be accurately collected and efficiently preprocessed, target features are accurately extracted and recognized by using deep learning, the model is optimized to improve the accuracy, the result can be visually displayed, the accuracy, real-time performance and reliability of low-altitude radar target recognition are effectively improved, and the monitoring requirements are met.

A communication method and system of a DPTP protocol, a product and a medium relate to the field of data transmission, and the method comprises the following steps: under the condition that a dot matrix pen establishes a connection with an upper end application, the dot matrix pen receives a protocol level and a data standard number sent by the upper end application to the dot matrix pen; the dot matrix pen returns a confirmation message to the upper end application, wherein the confirmation message comprises an equipment authentication strategy number; if the authentication strategy number indicates that authentication is needed, the dot matrix pen carries out authentication operation on an authentication instruction sent by the upper end application; under the condition that the authentication operation result is that authentication succeeds or the authentication strategy number indicates that authentication is not needed, the dot matrix pen packages the collected writing track data into message data in a data format according to the data format corresponding to the data standard number; and the dot matrix pen sends the message data to the upper end application. By implementing the method, the stability of data transmission between the dot matrix pen and the upper application can be improved.

The invention discloses a channel optimization method and device, electronic equipment and a readable storage medium, and the method comprises the steps: obtaining first performance data and a first load condition of node equipment in each space in a first time period, and determining candidate equipment in each space; constructing at least two candidate transmission paths based on the candidate devices; selecting a target transmission path from the candidate transmission paths according to a first preset condition, and performing data transmission based on the target transmission path; monitoring second performance data and a second load condition of each node device on the target transmission path in a second time period in real time; and under the condition that the second performance data and the second load condition of the first node device in the node devices meet a second preset condition, replacing the first node device with a second node device located in the same space as the first node device. The method dynamically plans a transmission path for equipment communication, and improves the stability of a communication network.

The invention discloses an analysis query method and device for a database, and the method comprises the steps: obtaining data corresponding to a query instruction from a pre-constructed preset storage structure through a preset index algorithm when the query instruction is received in a data query process of a database system, the preset storage structure is obtained by optimizing a storage structure design layer of a multi-version concurrency control mechanism, the preset storage structure is used for avoiding volume expansion caused by multi-version control and improving the performance of data analysis and query, and data is compressed through a data compression algorithm. And storing the compressed data in a preset storage structure in a column storage mode.

The invention relates to the technical field of networking methods, in particular to an ad hoc network dynamic networking method and system based on an MAC layer, and the method comprises the steps: obtaining the topological relation information of each node in a network; obtaining distance information between the nodes; generating a topology sensing matrix based on the topological relation information; calculating a priority matrix according to the topology sensing matrix; evaluating the service capability of each node based on the priority matrix and the distance information; calculating the reliability of each node according to the service capability; based on the reliability, time slots are distributed for all the nodes; generating a routing optimization matrix according to the priority matrix, the reliability and the distance information; the priority, the service capability, the reliability, the time slot allocation result and the routing optimization information of each node are output, and by introducing an innovative priority matrix calculation method, the direct connection relationship of the nodes is considered, and the positions and the influence of the nodes in the whole network are captured, so that the network resource allocation is more reasonable, and the routing optimization efficiency is improved. And the overall throughput of the network is obviously improved.

The invention relates to the technical field of Internet of Vehicles, and provides a vehicle data transmission method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining vehicle data and N serialization processing types of the vehicle data, performing variable-length serialization processing on the vehicle data according to the N serialization processing types to obtain N pieces of compressed vehicle data, determining target data in the N pieces of compressed first vehicle data based on a data transmission strategy, and transmitting the target data to a server according to the determined target data. According to the method, the target data is encrypted, and finally the encrypted target data is sent to the TSP server according to the service quality level, so that the vehicle data can be compressed through serialization processing, and the compressed vehicle data of the target type can be selected for transmission, and the flexibility of data transmission is improved; and meanwhile, the transmission security and reliability are improved by utilizing encryption processing and a quality grade sending strategy, and the data transmission efficiency is improved.

The present application discloses a data synchronization method, device, equipment and storage medium. The method obtains target data, and for each data receiving end, detects the network transmission status between it and the receiving end, thereby determining whether the data receiving end uses the real-time synchronization mode or the batch synchronization mode. For the data receiving end using the real-time synchronization mode, the target data is directly sent to improve the efficiency of transmitting the target data to the data receiving end; for the data receiving end using the batch synchronization mode, the target data is pre-processed by the pre-stored business processing logic corresponding to the data receiving end, and then the pre-processed target data is sent to the data receiving end in batches, thereby improving the processing efficiency of the target data. The present application can adjust the data synchronization mode in combination with the network transmission status corresponding to the data receiving end, maximize the utilization rate of network transmission resources, and improve the efficiency of data transmission and processing. The technical solution of the present application can be widely used in the field of data synchronization technology.

The invention relates to a video stream acquisition method and device, equipment and a storage medium. The method comprises the following steps: in the process that a pre-pushing server caches a video stream sent by a content distribution server, receiving an authentication request sent by a playing end for the video stream; after determining that the authentication is passed based on the authentication request, determining performance index data corresponding to the pre-pushing server according to communication cache data of the pre-pushing server; determining the current performance health degree corresponding to the pre-pushing server according to the performance index data corresponding to the pre-pushing server and the historical performance health degree corresponding to the pre-pushing server; and sending the current performance health degrees corresponding to the pre-pushing servers to the playing end, and selecting one of the pre-pushing servers to acquire the video stream by the playing end according to the current performance health degrees corresponding to the plurality of pre-pushing servers. By providing the current performance health degree, the problem that the video stream pulling speed is low due to the fact that the playing end blindly pulls the video stream from the pre-push server with the unknown performance state can be avoided.

The invention discloses an equipment data analysis early warning method and system based on the Internet of Things, and a storage medium, and relates to the technical field of data processing. The method comprises the following steps: acquiring an Internet of Things device, and monitoring a multi-dimensional operation data stream of a target electric meter device in real time; analyzing the data stream to obtain a communication link, and transmitting the data stream to a data processing center based on the communication link; processing the data stream according to a standardized program of a data processing center to obtain a standard multi-dimensional data stream; constructing an electricity meter anomaly analysis adaptive network by using a data mining algorithm, and analyzing a standard data stream to obtain an abnormal operation parameter; a hierarchical early warning mechanism is constructed, early warning is triggered based on abnormal parameters, a strategy is determined, and early warning is performed on the electric meter equipment, so that the technical problem that multi-dimensional data streams and abnormal states of the electric meter equipment cannot be monitored timely and accurately due to insufficient transmission and abnormal detection mechanisms of data of the electric meter equipment is solved.

The invention discloses a power equipment test data acquisition method and device based on multi-source data fusion. The method comprises the steps that each sensor acquires operation data of power equipment in real time; evaluating the operation data based on the abnormal condition and the equipment state to generate a multi-source data fusion parameter; generating a compression strategy parameter based on the multi-source data fusion parameter; based on multi-source data fusion parameters, fusing the operation data of the power equipment collected by the sensors in real time to obtain fused multi-source operation data; performing data compression on the fused multi-source operation data according to the compression strategy parameters; and transmitting the compressed fused multi-source operation data to a central processing unit. According to the invention, the real-time monitoring capability and the fault early warning level of the power equipment data acquisition system are improved, and the data transmission and storage cost is reduced.

The invention provides a solid state disk garbage collection and host write address repetition detection method, which comprises the following steps that: a host covers data written into a logic address, finds a first physical address which is written in a covered manner, and writes the first physical address into a hardware acceleration module; reading continuous physical address data in batches at the beginning of garbage collection, and writing a currently read second physical address into a hardware acceleration module; the hardware acceleration module compares the first physical address with the second physical address; after data are read through garbage collection, a comparison result of the hardware acceleration module is obtained, if the comparison result is consistent, the current second physical address is skipped, continuous physical address data are continuously read, and if the comparison result is inconsistent, the second physical address data are written into a new physical address; and the steps are repeated until garbage recycling is completed. According to the invention, the speed of garbage collection and data writing is accelerated, so that the purposes of improving the data transmission efficiency and reducing the use power consumption are achieved.

The invention relates to a display control method and system and a vehicle. The system comprises an instrument display, a multimedia display and a half-duplex low-voltage differential signal (LVDS) transmission channel, the instrument display is connected with the multimedia display through the half-duplex LVDS transmission channel; the instrument display is used for sending first display data of the instrument display to the multimedia display through the half-duplex LVDS transmission channel in response to a first touch operation of a user on the instrument display; the multimedia display is used for sending second display data of the multimedia display to the instrument display through the half-duplex LVDS transmission channel in response to a second touch operation of the user on the multimedia display; through the half-duplex LVDS transmission channel, the two-way transmission of the display data of the two displays is realized, the equipment structure is optimized, the equipment cost is reduced, and the data transmission efficiency is improved.

The invention relates to the technical field of semiconductors, in particular to a multiplexing-based optical computing chip and a design method thereof.The multiplexing-based optical computing chip comprises a computing area formed by crossing a first waveguide and a second waveguide, and the computing area comprises a branch waveguide connected with the first waveguide and the second waveguide, a beam splitting part, an intensity modulation part and a first signal conversion part are sequentially arranged on the branch waveguide, the beam splitting part is used for splitting optical signals in a specific proportion, the intensity modulation part is used for modulating the signal intensity of the optical signals into a specific value, and the first signal conversion part is used for setting or maintaining the optical signals in a specific mode; the specific mode means that the optical signal has a specific polarization direction and / or a specific order; the second waveguide is provided with a calculation unit for calculating the sum of the optical powers of the plurality of optical signals. According to the multiplexing scheme provided by the invention, the data processing amount of the optical computing chip can be improved.

The invention discloses a data processing method. The method comprises the steps of obtaining a target data type; based on a target data type, determining preparation data corresponding to the target data type; collecting target data based on the change rate of the preparatory data; and compressing the collected data, and sending the compressed data to the cloud. The data acquisition process of the vehicle end is accurately controlled through the cloud end, unnecessary data uploading is reduced, the pressure of network bandwidth is reduced, and meanwhile storage resources of the vehicle end are saved. The sampling frequency is flexibly adjusted according to the actual change condition of the data and the network condition, uploading of a large amount of redundant data is avoided, and the data transmission efficiency is improved. By compressing the collected data, the space and time required for data transmission are reduced, and the pressure of network bandwidth is further relieved.

The invention discloses a two-way communication transmission method based on full-duplex communication, which realizes efficient self-interference elimination in an analog domain and a digital domain by deploying antenna arrays at a transmitting end and a receiving end and combining a self-adaptive beam forming technology and a self-adaptive filter, and realizes synchronous two-way transmission by adopting an orthogonal frequency division multiplexing technology. The spectrum utilization rate and the communication quality are improved by detecting available channels and optimal channel allocation in real time, the weight value is intelligently calculated, the resource allocation is optimized and the priority transmission of key data is ensured according to the importance, the delay sensitivity and the network state of the data packet; a fuzzy control algorithm is used for evaluating the signal-to-noise ratio and the bit error rate of a communication signal in real time, the transmitting power and channel selection are dynamically adjusted according to an evaluation result, adaptive optimization of communication parameters is achieved, and the defects of an existing full-duplex communication system in the aspects of self-interference elimination, channel allocation, data scheduling and communication parameter optimization are effectively overcome.