179results about How to "Efficient data transfer" patented technology

The invention relates to the technical field of traffic management, in particular to a dynamic traffic scheduling method and system based on network configuration, and the method comprises the following steps: based on network configuration data, extracting network index data, network indexes including network delay, packet loss rate and bandwidth size, calculating a network quality score, evaluating a current network state, and obtaining network state information. According to the method, the key network indexes are extracted, the network quality score is calculated, and the current network state is comprehensively evaluated, so that network configuration can respond to network requirements and condition changes, and according to the real-time network quality, the bandwidth resources are dynamically adjusted, and a priority rating mechanism is introduced, the network quality is improved. The time sensitivity of different data contents is evaluated, it is ensured that important data can obtain enough transmission resources, the influence caused by network fluctuation is compensated by monitoring the network fluctuation in the data transmission process and adjusting bandwidth allocation in real time, and the continuity and efficiency of data transmission are ensured.

The invention belongs to the field of PCIe Switch interconnection, and relates to a GPU cross-host communication interconnection system based on PCIe NTB, which comprises two hosts, two GPUs and two PCIe Switch chips, the two GPUs are respectively connected with the PCIe Switch chips, the two PCIe Switch chips are connected through a Crosslink line, a connection port of each PCIe Switch chip is set to be in an NTB mode, and the two GPUs achieve interconnection communication through the NTB. By windowing in the NTB, the address of the remote equipment is mapped in the local address space, so that the purpose of accessing the remote equipment is achieved. The PCIe Switch is used for replacing high-end network equipment, so that the hardware cost can be remarkably reduced, and the complexity of system deployment is reduced. Communication between the devices can be directly accessed through a memory address, and complex network connection, IP addresses or special software protocols do not need to be set; and low-delay and high-bandwidth GPU cross-host interconnection communication is achieved. Through the GPU which carries out cross-host communication in a PCIe NTB mode, the effect of GPU Direct P2P can be achieved.

The invention provides a resource scheduling method and system for a converged network, an intelligent terminal and a medium, and particularly relates to the technical field of network communication, and the scheme comprises the steps: carrying out the priority division and sorting of target data collected in real time according to a preset priority evaluation strategy through employing a 5G network, and obtaining the target data with the marked priority; performing time synchronization processing on all the target data marked with the priorities by using the TSN equipment to obtain the target data after time synchronization; and according to the priority and the current network state, carrying out dynamic resource allocation on the target data after time synchronization, obtaining a resource allocation result and executing a resource scheduling operation. According to the scheme, priority scheduling and a time synchronization strategy are combined based on the 5G-TSN fusion network, priority processing and accurate time synchronization of key data are ensured, the reliability and effectiveness of data transmission can be improved, bandwidth allocation is dynamically adjusted according to the data priority, and the accuracy of data resource scheduling and the data transmission efficiency can be improved.

The invention belongs to the technical field of distributed data access, discloses an RDMA (Remote Direct Memory Access) distributed data transmission method supporting high-concurrency message transmission, and aims to improve system performance in a high-concurrency message transmission environment. The method comprises the following core steps: 1) peer-to-peer server design: each device is an independent server, and connection is established by a connection channel monitored at any time; 2) establishing a connection resource pool in advance; 3) creating and registering an RPC message; 4) transmitting the RDMA to a memory mailbox pool of a target server; 5) the client and the server perform high-concurrency processing; 6) dynamically polling the server; (7) zero-copy transmission of data is achieved through the RDMA technology. According to the invention, the dynamic expansion capability of the architecture is improved by adopting a connection resource decoupling mode, QP jitter can be reduced and the stability of the system can be enhanced by registering a memory of a continuous large page at one time, and the message transmission efficiency under the distributed network architecture is effectively improved by adopting a combined sending strategy.

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 a power equipment communication transmission system based on a power wireless private network. The system comprises a path planning module, a communication parameter adjusting module and an execution module. According to the power equipment communication transmission system based on the power wireless private network, efficient, stable and safe data transmission of power equipment in a complex network environment is realized through a low-delay and high-reliability wireless private network communication technology; the real-time performance and the stability of communication are improved through the path planning module, the communication parameter adjusting module and the execution module, the self-adaptive adjusting function is achieved, the anti-interference capability is enhanced, maintenance and optimization are facilitated, and the operation efficiency, the reliability and the safety of the power equipment are remarkably improved.

The invention relates to the technical field of communication, and discloses a network optimization method and device based on multi-orbit satellite access, equipment and a medium, and the method comprises the steps: obtaining satellite orbit information from a network data analysis function module in response to an access request of user equipment; selecting a target orbit satellite from the multi-orbit satellites according to parameter requirements in the access request and satellite orbit information, and accessing the user equipment to the target orbit satellite; obtaining a Qos strategy based on the access request of the user equipment and the current network state of each orbital satellite, and configuring a network slice; and based on the Qos strategy and the network slice, constructing a data transmission session to enable the user equipment to perform data transmission with the user plane function module through the target orbit satellite. The optimal satellite orbit and the optimal network slice are intelligently selected by monitoring user requirements and network states in real time, dynamic flow routing and Qos configuration are achieved, and therefore it is ensured that a user obtains stable service quality in different scenes.

The invention relates to a digital twinning-based rail transit star chain system and a corresponding communication scheme design optimization method. The system comprises a sensing network, a station center digital twin server cluster system, a station center supervision system and corresponding intelligent service businesses, wherein the sensing network covers rail transit star chain systems of trains, trackside infrastructures, station centers and the like in an omnibearing manner. According to the system and the method, all parameters of an urban rail transit system based on an orbital star chain in an actual physical domain are mapped to a virtual digital domain system, so that all-directional supervision of a full-connection system, effective utilization of multi-source data characteristics and short-time accurate modeling of a channel environment with variable position environment parameters are realized; a communication link selection strategy model is constructed in combination with a model-based reinforcement learning method, and loop optimization is realized and an optimal communication link decision scheme is finally obtained by continuously training the model in a digital domain and collecting samples and verifying the model in a physical domain.

The invention discloses a rate division multiple access communication network total rate optimization method and system, and belongs to the technical field of communication. The method comprises the following steps: constructing a downlink rate segmentation multiple access communication system model based on an intelligent reflecting surface; the communication system model comprises a base station, an intelligent reflecting surface and a user side; grouping users in the user side, and constructing a hierarchical rate segmentation multiple access model based on user grouping; the hierarchical rate segmentation multiple access model comprises a corresponding relation between the user group and information flow generated by the base station; and according to the hierarchical rate segmentation multiple access model and the intelligent reflecting surface, assisting downlink communication between the base station and the user side. According to the method and the device, the layered rate division multiple access model is constructed by grouping the users, and the system performance is improved by combining the intelligent reflecting surface passive beam forming and the rate division multiple access active beam forming, so that the problems of spectrum resource shortage and signal interference can be solved, and the spectrum efficiency is greatly improved.

The invention relates to the field of aviation flight tests, and discloses a flight test airborne data unified recording and processing method, system and device and a computer readable storage medium. The method comprises the following steps: receiving an external time code time service signal, and generating a synchronization timestamp for performing time synchronization on each module in a system; collecting multi-source data streams from a network interface, an analog quantity PCM interface, a video interface and a 1553B interface; performing protocol conversion and format standardization processing on the multi-source data stream to obtain a data stream with a uniform format; based on a data fusion algorithm, carrying out fusion processing on the standardized data streams to generate a fusion data sequence in a unified format; performing grading processing on the fused data sequence according to the importance of the data; performing adaptive compression processing on the graded data sequence to generate a compressed storage data sequence; and transmitting the compressed data storage sequence to a ground station through a wireless transmission protocol. According to the invention, the flight test efficiency is effectively improved.

The invention discloses a smart residence control method based on the Internet of Things, and the method specifically comprises the steps: an intelligent recognition and configuration module which automatically recognizes and configures accessed Internet of Things equipment; the edge calculation and communication management module is used for executing protocol conversion, data standardization and communication management; edge calculation processing is carried out, and protocol conversion and data format standardization are completed at an equipment end; intelligent communication management is realized, a communication path is optimized, communication flow is adjusted, and stable data transmission is ensured; security and privacy protection: implementing data encryption and privacy protection strategies, and monitoring security threats; the unified control and management module is used for managing equipment instructions and feedback in a centralized manner and carrying out self-adaptive adjustment; and the user interaction and intelligent monitoring module provides equipment state display, intelligent reminding and data analysis. The method effectively solves the problem of equipment automatic identification and management in a smart residence environment with various equipment types and heterogeneous communication protocols, and improves the stability and safety of an equipment system.

The invention discloses an ad hoc network communication method and device based on a soft bus in a power transmission line, all on-line monitoring devices are connected to form a chain-type ad hoc network based on the soft bus in a hardware layer, and each on-line monitoring device is a node; a node in the chained ad hoc network executes the following method: receiving a service request message broadcasted by a first neighbor node in the chained ad hoc network; sending a broadcast of a subscription service request message, creating a data communication link with the first neighbor node, and updating the information of the current node to link related information; receiving the service request message broadcasted by the first neighbor node again, judging whether the content of the service request message is consistent with the link related information or not, and if so, stopping sending the broadcast of the subscription service request message; and broadcasting the service request message, and initiating a path establishment request to a second neighbor node in the chained ad hoc network. An existing ad hoc network mode is simplified, and effective communication can be carried out between devices.

The invention discloses a wireless transmission congestion control method based on a DDPG model, and the method comprises the following steps: obtaining a congestion window value and an acknowledgement data packet in a bottom layer TCP protocol stack in each round-trip delay period, and generating network statistical information; preprocessing the network statistical information by using a convolution matrix, and generating a network state vector in combination with a recursive structure; generating a reward value corresponding to the network state vector through a reward function; based on the network state vector and the reward value, adopting a DDPG model to output a maximum value of a congestion window; and determining the size of the congestion window by adopting a maximum filter according to the maximum value of the congestion window, and feeding back the size of the congestion window to a bottom TCP protocol stack. According to the method, a deep reinforcement learning mechanism and dynamic adjustment of the congestion window are combined through the DDPG model, the problem of performance limitation of a traditional control method in a complex and changeable wireless environment is solved, and the real-time performance of wireless transmission is improved on the premise that high throughput is not lost.

The invention discloses an aluminum electrolysis production alumina concentration on-line monitoring system, which comprises a sensor unit, a data acquisition module, a data analysis module, a control and display interface and a communication module, the data acquisition module is connected with the data analysis module through a local area network, the data analysis module is connected with the control and display interface through the local area network, and the communication module is connected with the data analysis module through the output end of the communication interface. The invention provides the system and the method capable of accurately monitoring the concentration of aluminum oxide in the aluminum electrolysis process in real time, so that the production efficiency and the product quality are improved, the production cost is reduced, and the system and the method have important practical value and popularization and application prospects.

The invention belongs to the technical field of artificial intelligence, and discloses an FPGA fault diagnosis accelerator design method based on a shift module and an AXI cross matrix, and the method comprises the steps: taking GHOSTNETV2 as a backbone network, carrying out the standard 3 * 3 two-dimensional convolution operation of an input content through a first main convolution layer of the network, so as to extract features, and carrying out the calculation of the features; then inputting the features into a subsequent layer for further feature extraction, and independently optimizing the layer; the influence of quantization and data packaging on delay is analyzed, and different quantization methods of different data formats from 32 bits to 8 bits are compared; different quantization strategies are selected for different network layers; an advanced synthesis tool HLS of the Xilinx FPGA is selected; each Xilinx DSP48E1 is decomposed into two 8 * 8 multiplying units, so that computing resources are maximized. According to the method, an optimal mixing precision quantification strategy is obtained through theoretical analysis and experiments, and knowledge distillation is decided to be used for keeping precision, so that the use of hardware resources is remarkably reduced.

The invention relates to the technical field of artificial intelligence, in particular to an intelligent large-screen multi-round dialogue linkage method based on a large model. A user can control the intelligent large screen anytime and anywhere through the mobile phone without being limited by time and equipment operation. Compared with a traditional interaction mode, the user experience is more natural and convenient. A two-dimensional code generated by an intelligent large screen is scanned through a mobile phone program, a safe interaction channel is established through a WSS protocol of Websocket, and multi-round dialogue control is performed by using a large model.

The invention relates to the technical field of network strategy optimization, and discloses a network acceleration strategy optimization system and method based on data flow, and the method comprises the steps: deploying network monitoring equipment in each network link, and collecting performance data such as communication delay, bandwidth, packet loss rate and flow; establishing a data group based on the performance data, including the link performance data of the current moment and the adjacent historical time period, and calculating a data abnormal value according to the data group; the abnormal threshold value of the abnormal value is determined through the historical performance data, after the data abnormal value and the threshold value are compared and screened, the Gaussian mixture model is used for identifying the abnormal value, and finally the abnormal data are determined and the corresponding link is removed. And evaluating the performance data of the remaining links, constructing a correlation formula, and establishing preset performance data through iterative clustering. And based on the performance score and the network performance requirement, screening effective links, and optimizing the optimal link meeting the network acceleration strategy optimization. According to the invention, the precision and reliability of network acceleration strategy optimization can be effectively improved.

The invention provides a video data transmission system based on a PCIE interface, the system comprises a PCIE RC terminal system and a PCIE EP terminal system, each of the PCIE RC terminal system and the PCIE EP terminal system comprises a PCIE interface module and a PCIE virtualization module, the PCIE RC terminal system and the PCIE EP terminal system are connected through the PCIE interface module, and the PCIE interface module is connected with the PCIE EP terminal system through the PCIE virtualization module. The PCIE virtualization module is connected with the PCIE interface module; wherein the PCIE interface module is used for carrying out bidirectional video data transmission between the PCIE RC terminal subsystem and the PCIE EP terminal subsystem, and the PCIE virtualization module is used for controlling the PCIE interface module to execute corresponding operation according to the transmission requirement of video data and respectively creating a corresponding virtual device node for each path of video data.

The invention relates to the technical field of carbon emission, in particular to a carbon emission CEMS (Continuous Emission Monitoring System) remote monitoring module based on a cloud server, which comprises front-end monitoring equipment, a cloud server platform and a user side, wherein the front-end monitoring equipment comprises a flue gas analyzer, a flow meter, a temperature sensor and a pressure sensor, and is responsible for acquiring carbon emission data in real time and uploading the data to the cloud server platform through a network module; wherein the cloud server platform stores and analyzes data uploaded by the front-end monitoring equipment by using big data processing and cloud computing technologies, and provides real-time alarm, historical data query and trend analysis functions. According to the carbon emission CEMS remote monitoring system, more efficient data transmission, more accurate carbon emission prediction and more reliable equipment maintenance can be realized, and self-learning and optimization of the system are realized through an adaptive algorithm, so that the performance and stability of the system are continuously improved.

The invention relates to the technical field of computers, and discloses a hardware consistency screening method, device and equipment and a medium, the method comprises the following steps: fixing the phase of a data strobe signal in a first double-rate synchronous dynamic random access memory DDR in a first-stage sub-cycle, and in each cycle round, determining the phase of the data strobe signal in the first-stage sub-cycle; selecting a delay value corresponding to each cycle round from a plurality of pre-configured delay values for a delay phase of a first data bit in the first DDR, and sequentially starting and executing a continuous write-in command to obtain a write data code stream; after the write data code stream is obtained each time, starting and executing a continuous reading command to obtain a read data code stream; further determining a minimum delay value and a maximum delay value; sequentially determining a first candidate delay value and a target delay value corresponding to each data bit of each DDR in the plurality of DDRs; and performing statistical analysis on the target delay value, and determining a screening threshold value. The method can improve the accuracy and reliability of data.

The invention discloses an embedded software-based low-code standardized component development method, which comprises the following steps of: collecting a complete embedded software source code, and defining a function or a function module to be packaged; function packaging and screening: identifying and packaging independent functions and interdependent set functions; packaging a function interface, and designing a unified interface template according to the type of the function parameter; performing function framework type selection and packaging, and designing a corresponding packaging framework according to the function type of the function; a standardized component general structure frame is integrated and packaged; mounting a standard component data communication interface, designing the standard data communication interface and verifying the stability of the standard data communication interface; and warehousing the standardized components, adding labels and classification information to the packaged components, and establishing a component library management system for unified management. According to the method, the convenience, the adaptability, the reusability and the system integration degree of embedded software development are remarkably improved through a standardized component development method which is low in code and does not change an original code.

The invention provides a data processing method and device based on edge gateway equipment and a readable storage medium, and relates to the technical field of communication. The method comprises the following steps: after a first virtual network component of first network equipment is initialized, establishing a connection between the first virtual network component and a message server by using a message queue telemetry transport protocol (MQTT) client library; using an MQTT client library to send a virtual network connection message to the message server; the virtual network connection message corresponds to a target theme; wherein the virtual network connection message comprises identification information of at least one second network device connected to a virtual network and network parameter information of the virtual network; and performing virtual network connection with at least one second network device by using the virtual network connection message. According to the scheme, tens of thousands of gateway boxes which are distributed at different users and have different network connection modes can be remotely maintained.

The invention relates to the technical field of tunnel deformation monitoring, in particular to a tunnel primary support surrounding rock deformation monitoring system and method, and the method comprises the steps: data collection, data transmission, data preprocessing, model training and verification, real-time analysis, feature extraction and early warning and response. Data acquisition equipment and an edge server are installed and deployed on the inner side wall of tunnel primary support surrounding rock, the data acquisition equipment acquires original data, it is ensured that data coverage is comprehensive and not excessive redundancy exists, the original data are timely transmitted to the edge server in a wireless mode of the low-delay Internet of Things, the data transmission process is combined with an MQTT protocol, and the data transmission efficiency is improved. The method comprises the following steps: preprocessing data, selecting a trained convolutional neural network model CNN, carrying out online analysis on the data transmitted in real time, predicting the deformation trend of the tunnel primary support surrounding rock, and immediately sending an early warning to a monitoring and early warning module when the deformation trend exceeds a set deformation threshold value, so that the system can monitor the deformation of the tunnel primary support surrounding rock in real time and ensure the accuracy and reliability of the data.

The invention provides a constellation software batch automatic upgrading method and system based on a laser link. Firstly, a ground control center generates a plurality of reconstruction packets, and the reconstruction packets are sequentially sent to a low-orbit earth satellite through a high-bandwidth microwave communication channel. Then, after the satellite receives the reconstructed packets, the correct reconstructed packets are reserved, and data increment packets are extracted at the same time; after the database receives the information that the satellite completes reconstruction, other satellites with software version numbers lower than those of the satellites in the constellation network to which the satellites belong are counted immediately, and the models of the satellites are transmitted to the satellites. And the satellite divides the incremental packet into a plurality of small packets, and after forward error correction coding and numbering processing, the small packets are multiplexed by using a DVB-S2 protocol and transmitted to a target satellite through an optimal laser link. The target satellite restores the complete incremental package, software updating is carried out in the dynamically determined idle time period, meanwhile, unified updating of ground database configuration is carried out, and therefore efficient and reliable batch upgrading is achieved.

The invention belongs to the field of switching chips, and relates to a PCIe switching chip system supporting on-network computing, which is provided with a distributed switching unit, and the distributed switching unit comprises a front-end processing module, a task scheduling module, a storage module, a computing module and a switching network; the front-end processing module comprises a PCIe protocol processing module, a DMA function module and an online computing analysis module. According to the invention, a distributed on-network computing architecture of the distributed switching units is adopted, and compared with centralized on-network computing, the architecture has the characteristics of high resource utilization rate and simple back-end implementation, can achieve efficient transmission performance, can flexibly support various network topology structures, and realizes on-network computing acceleration and data exchange with high bandwidth and low delay; the method has the advantages that hardware implementation is simple and flexible, rear-end implementation is friendly, parallel multi-group online computing is supported, and the method is suitable for design implementation of other network switching chips.

The invention provides a multi-source heterogeneous data aggregation system and method, and relates to the technical field of data processing. The multi-source heterogeneous data aggregation system comprises a data acquisition layer which is responsible for acquiring data from heterogeneous data sources of a power and environment data system and a cloud platform data system and comprises a plurality of relational databases and time sequence databases; the data processing layer is used for cleaning, converting and aggregating the collected data to ensure the quality and consistency of the data; the data storage layer is used for storing the processed data in a relational database to facilitate unified management and query of the data; and the application layer is used for providing data query, analysis and report generation functions for users to meet the requirements of different users. According to the invention, the power and environment of the data center and the heterogeneous data of the cloud platform can be efficiently collected to one platform, and unified management and analysis of the data are facilitated.

The invention provides an information transmission method and device based on a polarization code, electronic equipment and a storage medium, and the method comprises the steps: obtaining an information source bit and transmission channel quality, and determining a target transmission format according to the information source bit and a transmission channel; determining the total bit length of the auxiliary information of each transmission frame according to the transmission frame format and the modulation coding mode; generating auxiliary information bits according to the information source bits and the total length of the auxiliary information bits; mapping the information source bit to a sub-channel of the polarization code to carry out polarization code coding to obtain a coding bit sequence; generating a demodulation reference symbol and a frequency hopping pattern according to the auxiliary information bit, the transmission frame format and the modulation coding mode; and performing modulation framing on the coded bit sequence to obtain a transmission frame, and sending the transmission frame to a receiving end, so that the receiving end receives the transmission frame, and performs polarization decoding through the auxiliary information bit to obtain an information source bit. The method can effectively improve the transmission performance of the polarization code.

The invention discloses a radiation monitoring data compression and real-time transmission method and system, and relates to the technical field of data compression and transmission, and the method comprises the steps: collecting original radiation monitoring data, and carrying out the data preprocessing; carrying out lossless compression coding on the radiation monitoring data characteristics; the compressed data are divided into small segments, and the data are transmitted in a segmented mode; and after receiving the data, the receiving end decompresses the data according to the compression reverse operation. According to the invention, the transmission efficiency and reliability of radiation data under the condition of low bandwidth can be obviously improved. The compression algorithm can realize a data compression rate of at least 50% or more, and meanwhile, the integrity and precision of the data are kept. In addition, a real-time transmission mechanism ensures that data can be effectively transmitted under an extreme network condition, and the delay and packet loss rate of data transmission are remarkably reduced. The volume of radiation monitoring data can be significantly reduced without sacrificing the quality and integrity of the data.

The invention provides a high-speed dual-mode communication method and device based on HPLC and HRF, and relates to the field of dual-mode communication methods. The high-speed dual-mode communication method and device based on the HPLC and the HRF comprises the following steps: S1, carrying out data transmission on a power line by using a high-speed power line carrier module, and S2, carrying out data transmission by adopting a multi-carrier OFDM communication system through a high-frequency wireless radio frequency module, including leading, signal, physical layer header and physical layer service data unit parts, s3, processing and analyzing data received by the high-speed power line carrier module and the high-frequency wireless radio frequency module through a data processing unit, and S4, integrating the data from the high-speed power line carrier module and the high-frequency wireless radio frequency module to ensure data consistency. Through an efficient algorithm and a parallel processing technology, the system can significantly improve the data processing speed, meets the application requirements of high throughput and rapid results, and realizes efficient and real-time data transmission and analysis.

The invention relates to the technical field of space big data visualization, in particular to a Cesium-based large-scale vector data visualization method and system, and the method comprises the steps: carrying out the preprocessing of obtained space vector data; slicing the preprocessed space vector data to obtain a multi-level vector tile group; wherein all the vector tiles in any hierarchy can be spliced into complete space vector data, the vector tiles in the same hierarchy are equal in size, and the vector tiles in different hierarchies are different in size; monitoring an interaction event of a user, loading the vector tiles at the corresponding positions and the corresponding levels according to the interaction event, and rendering the loaded vector tiles, so as to realize the visualization of the space vector data; interaction events include scaling and translation. By adopting the scheme provided by the invention, high-efficiency transmission of large-scale vector data and high-efficiency scheduling of vector tiles can be realized.