63 results about "Bandwidth optimization" patented technology

The invention relates to the technical field of wireless communication, and relates to a multi-terminal data processing method, a multi-terminal data processing device, communication equipment and a computer readable storage medium. The method comprises the following steps: an on-satellite UPF receives to-be-processed data sent by a terminal through a wireless access network, the to-be-processed data carries a joint task identifier, and the terminal is any one of a plurality of terminals corresponding to the joint task identifier; the satellite UPF sends at least part of data in the to-be-processed data to a ground UPF for processing to obtain ground processing data, and stores other data of the to-be-processed data; and the on-satellite UPF performs cooperative processing on the other data corresponding to the joint task identifier in the storage to obtain on-satellite processing data, and sends the on-satellite processing data to the ground UPF, so that the ground UPF performs forwarding based on the ground processing data and the on-satellite processing data. The data transmission amount can be reduced, the communication bandwidth can be saved, the utilization of resources can be optimized, and the data processing efficiency and timeliness can be improved.

The invention relates to the technical field of unmanned aerial vehicle flight data scheduling, and discloses an unmanned aerial vehicle flight data scheduling method based on a distributed storage system, and the method comprises the following steps: S1, an unmanned aerial vehicle node collects flight data and stores the flight data in a local memory; s2, realizing consistency and synchronous management of the data through a block chain network, and verifying the validity of the uploaded data among a plurality of nodes; and S3, realizing the consistency and synchronous management of the data through the block chain network, and verifying the validity of the uploaded data among the plurality of nodes. By introducing a block chain technology, an intelligent contract and a bandwidth optimization algorithm, the problems of consistency, redundant copy management and data transmission path optimization of the unmanned aerial vehicle flight data in a distributed storage system are effectively solved, the integrity, security and high availability of the data are ensured, the bandwidth utilization rate and transmission efficiency are improved, and the system performance is improved. Therefore, the reliability and the intelligent scheduling capability of the system are enhanced.

The invention discloses a data transmission optimization method, system and device based on optical fiber communication and a medium, and relates to the technical field of data processing, and the method comprises the steps: obtaining an optical fiber communication line and a monitoring time slot, and obtaining the number n for monitoring according to the optical fiber communication line; acquiring unit time slot average flows of the first one, two,..., n monitoring time slots at the current time point in real time, acquiring a time sequence weight corresponding to each unit time slot average flow based on a time sequence model, and acquiring a fluctuation index based on a fluctuation model, the n unit time slot average flows and the time sequence weight corresponding to each unit time slot average flow; judging whether the fluctuation index exceeds a preset fluctuation threshold value, if so, obtaining a bandwidth adjustment increment of the optical fiber communication line according to the fluctuation index, and obtaining an adjustment cost index according to the bandwidth adjustment increment; and completing bandwidth optimization according to the adjustment cost index and the bandwidth adjustment increment. The method has the advantages of fast dynamic response, accurate transmission bandwidth matching and collaborative optimization.

A system (100) for optimizing data caching in content delivery networks (CDNs), comprising: a user behavior analysis module configured to capture and analyze real-time and historical user access patterns using artificial intelligence (AI) and machine learning (ML) algorithms to predict content demand; a predictive caching module operatively coupled to the user behavior analysis module and configured to cache frequently accessed content on edge servers based on predicted demand patterns; an adaptive cache replacement module configured to dynamically manage cache deletion and retention by taking into account content popularity, request frequency, recency, and network congestion; a multi-level hierarchical caching engine configured to organize content storage across edge servers, regional caches, and origin servers for optimized retrieval efficiency; a decentralized load balancer configured to distribute caching responsibilities among CDN nodes using blockchain-based or distributed ledger technology to prevent network congestion and ensure fault tolerance; a latency optimization module configured to determine the optimal placement of content based on user location, device type, and network speed using deep learning algorithms; a bandwidth optimization module configured to reduce redundant data transfers by using intelligent prefetching, compression, and deduplication techniques; a real-time monitoring and self-learning module configured to track cache performance and dynamically adjust caching strategies based on evolving network conditions and user behavior; a security and data integrity module configured to provide encrypted data caching, access authentication, and integrity checking across CDN nodes.

The invention provides a PCIe link energy-saving regulation and control method, device and equipment and a storage medium, and relates to the technical field of computers, and the method comprises the steps: collecting target parameters such as a physical layer signal quality parameter, a transmission layer flow parameter and an equipment state parameter; predicting the bandwidth demand in the future time period based on the target parameter; generating a link configuration instruction in combination with a quality of service (QoS) priority strategy and a thermal constraint condition; and finally, the width, the rate and the error correction mechanism enabling state of the PCIe link are adjusted according to the instruction. According to the method, through dynamic bandwidth demand prediction, QoS priority and thermal constraint integration and link parameter adaptive adjustment, 5ms-level burst load response, multi-device global bandwidth optimization and cooperative improvement of energy efficiency and link utilization rate in a high-noise / heat dissipation limited scene are realized.

The invention discloses an edge federated learning communication method combining dynamic sampling and bandwidth optimization, which relates to the technical field of edge computing, and comprises the following steps of: collecting the sample size, training time and network bandwidth of terminal equipment through a monitoring tool, classifying and extracting bandwidth labels after preprocessing, and optimizing by adopting dynamic sampling and asynchronous communication to obtain an edge federated learning result. Gradient compression based on bandwidth perception is combined, important gradients are preferentially transmitted, convergence speed is evaluated, resource collaboration is optimized, an MEC server asynchronously distributes parameters, a queue is managed and updated, and a model is aggregated. By combining dynamic sampling and bandwidth optimization, the edge federated learning communication efficiency is remarkably improved, the transmission cost is reduced, the sampling strategy is dynamically adjusted, the important gradient is preferentially transmitted, the model convergence is accelerated, and the equipment resource collaboration and asynchronous parameter distribution and queue management of the MEC server are optimized; the timeliness and accuracy of model updating are ensured, and the practicability and flexibility of edge learning are enhanced.

The invention discloses a vehicle network bandwidth management method, device and equipment, a storage medium and a program, and is applied to the technical field of vehicle communication, and the method comprises the steps: collecting the network state information of a target vehicle; and updating the priority of the data flow in the target vehicle according to a preset bandwidth optimization strategy and the network state information so as to adjust the network bandwidth occupied by the data flow. According to the embodiment of the invention, the vehicle network bandwidth is dynamically adjusted, the utilization rate of the network bandwidth is improved, the stability of the vehicle network can be improved, and the vehicle network use experience of a user can be improved.

The invention discloses an intelligent security and protection monitoring system and method based on computer vision, and belongs to the technical field of data processing.The method comprises the steps that firstly, a system performance state model, an efficiency state model and a value state model are constructed, and a system performance state coefficient, an efficiency state coefficient and a value state coefficient are output respectively; and the comprehensive operation state of the system is quantitatively evaluated. Furthermore, based on the effective alarm rate and the alarm response time under the performance and efficiency state coefficient, a quality-speed adaptation model is constructed, and the adaptation degree reflecting the balance degree of the system between the alarm quality and the response speed is output. And finally, combining the adaptation degree, the value state coefficient and the basic bandwidth occupancy peak value to construct a bandwidth optimization model, and dynamically outputting a target bandwidth occupancy peak value. According to the method, comprehensive evaluation of the multi-dimensional state of the security and protection system and self-adaptive optimal configuration of key resources are realized, and the intelligent level and the overall operation efficiency of the system are effectively improved.

The present invention relates to the field of wireless communication technologies, and discloses a method and system for analyzing wireless communication operation and maintenance data, including the following steps: in all sub-regions of a wireless communication operation and maintenance area, perform high-frequency similarity analysis on the service traffic value data of each historical time period, and construct a first set from the data analyzed for each time period; perform distance analysis on the first set of each time period, and construct a second set based on the distance analysis results; perform influence analysis on the sub-regions in the second set, and construct a third set based on the influence analysis results. The present invention can accurately identify the mutually influential and key analysis sub-regions in a wireless communication network, so that operation and maintenance personnel can focus on key areas, conduct key monitoring on these key analysis sub-regions, allocate network resources more reasonably, increase bandwidth, optimize base station configuration, etc. in key areas, and improve resource utilization efficiency.

This invention discloses an optimization method for an online conferencing system, relating to the field of online conferencing technology. The method includes: optimization of image processing and transmission: optimizing image encoding and decoding algorithms; bandwidth optimization: automatically adjusting the image transmission bitrate using adaptive bitrate technology based on the user's device and network conditions; optimization of user interaction: adding functions such as liking, sharing, real-time voice calls, and real-time video calls; and optimization of device compatibility: automatically adjusting the image display resolution using a responsive design adapted to different devices and screen resolutions based on the user's device and network conditions. This invention's optimization method for the online conferencing system can effectively reduce image processing and transmission latency and improve image transmission quality, while reducing bandwidth requirements, enriching user interaction functions, and improving device compatibility.

This invention relates to the field of near-memory computing technology, and discloses a method and system for near-memory computing bandwidth optimization based on HBM. The method includes: decoding and parsing instructions for access tasks on the host side to obtain the storage address and the required operation type; constructing metadata for the access tasks to obtain a scheduling context, and pre-selecting target processing elements in high-bandwidth memory; performing data storage access on the high-bandwidth memory to obtain data blocks to be processed, and performing information dimensionality reduction mapping on the data blocks to obtain partial result data; performing multi-path fusion and reduction on the partial result data to obtain final result data, and returning the final result data to the host side; while performing multi-path fusion and reduction, pre-fetching scheduling is performed on the access tasks to be processed on the host side to establish a scheduling context for the access tasks to be processed; this invention can improve the efficiency of near-memory computing bandwidth optimization based on HBM.

The invention discloses a switch intelligent scheduling management system, method and device and a storage medium, and relates to the technical field of network traffic scheduling, and the switch intelligent scheduling management system comprises an intelligent traffic management module and a distributed processing module; the intelligent traffic management module determines at least one transmission path of the data traffic in the network based on the initial switch node and the target switch node of the data traffic; determining a dynamic path weight of a transmission path based on switch node load information transmitted by the distributed processing module; and determining a target path based on the dynamic path weight of the transmission path. The dynamic path weight of the transmission path is determined based on the load of the switch node, so that intelligent path distribution of data traffic is realized, the burden of a certain path is reduced, the overall bandwidth utilization rate of the system is effectively optimized, overload of a single transmission path is avoided, and load balancing and bandwidth optimization of the system are realized.

A control panel delivery intelligent quality inspection and tracing system solves the problems that in the prior art, an automatic detection process is prone to being interrupted, data is dispersed and difficult to associate and trace, and dynamic risk early warning is lacked, and comprises an intelligent quality inspection subsystem and a delivery tracing subsystem which cooperate with each other. The quality inspection subsystem ensures safe and accurate detection through magnetic coupling isolation and golden finger connection, guarantees no loss of network disconnection data and network bandwidth optimization by using SQLite caching and a timed uploading mechanism, improves the maintenance and remodeling efficiency by adopting a physical separation detachable needle bed, and sets a fault simulation unit to comprehensively verify the reliability of a control panel. The traceability subsystem is in butt joint with cloud data through a Flask server, constructs an associated database to realize a full-process data link, supports macroscopic to microscopic data analysis by using a visual engine, performs anomaly identification and risk prediction in combination with machine learning, and generates an early warning report; according to the system, the delivery quality control level, the production efficiency and the risk prevention capability of the control panel are improved.

The invention relates to an aviation internet autonomous controllable platform flow analysis and management system. The method comprises a data acquisition unit, a data processing unit, a flow early warning traceability unit and an air-ground bandwidth optimization unit. Presetting aviation fleet satellite network acquisition nodes, and obtaining network flow data; five-dimensional standardized data sets of equipment, flights, applications, scenes and traffic are generated through processing, and the data sets are graded through an intelligent classification mechanism and stored according to grades; constructing an equipment dynamic digital file, generating an equipment flow diagram with a time axis, extracting total flow data of target equipment through multi-condition combination screening by combining flow diagram time sequence distribution characteristics and stage flow statistical data and utilizing a dynamic flow fluctuation threshold value and a grading early warning mechanism, and obtaining an evaluation report; and combining an air space application flow fingerprint spectrum technology and the five-dimensional standardized data set to identify flow air space application, and generating a bandwidth optimization strategy. Therefore, flow analysis and management of the aviation internet are realized.

The invention relates to the technical field of network communication equipment, in particular to a distributed network signal convergence concentrator, which comprises a main control module, and a power supply module supplies power to each module; the distributed signal acquisition unit is used for acquiring multi-path distributed network signals and transmitting the multi-path distributed network signals to the signal convergence processing module; the signal convergence processing module is used for carrying out integration, protocol conversion and bandwidth optimization processing on multiple paths of network signals; the network interface module is used for outputting processed convergence signals to superior network equipment; one side of the main control module is also provided with an extensible interface module; for some specific areas, the main control module is inconvenient to move or a connecting line is short, the mobile interface is arranged, so that butt joint with an external interface is facilitated, the whole equipment does not need to be moved, and a complex scene is adapted; and multiple types of wired and wireless signals are compatible, multi-protocol unified convergence is realized through protocol conversion, and the equipment compatibility is improved.

The invention relates to the technical field of wireless communication, and discloses a double sampling and bandwidth optimization data processing method for a low-rate FSK (Frequency Shift Keying) signal, which comprises the following steps: receiving and processing an FSK radio frequency analog signal through a radio frequency receiving front-end module, setting a multiple symbol rate through a double sampling demodulation module, receiving and amplifying the FSK radio frequency analog signal through the multiple symbol rate, and outputting the amplified FSK radio frequency analog signal through a bandwidth optimization demodulation module. And the digital signal processing module processes the double sampling demodulation data by using an algorithm to restore the initial data. According to the invention, a high-density time domain sequence is generated by adopting a double sampling rate, so that the bandwidth of a digital filter of a receiver is increased, normal communication can still be maintained when frequency deviation exists between a transmitter and the receiver, and even if the FSK receiver has a high error rate problem caused by the frequency deviation problem at a low rate, the communication efficiency is improved. And low-rate and long-distance communication can still be realized.

The present invention discloses a silicon optical modulator, comprising a silicon substrate, an insulating oxide layer, a top silicon waveguide modulation region, and a top covering oxide layer stacked in sequence, wherein the top silicon waveguide modulation region comprises an n-type heavily doped region, an n-type main doped region, a p-type main doped region, and a p-type heavily doped region in sequence along a first direction. The present invention also discloses a compensation doping method for a silicon optical modulator. Advantageously, by compensating the doping of the flat plate region by oblique ion implantation, the effects of improving the bandwidth and modulation efficiency of the silicon optical modulator can be achieved simultaneously. Moreover, compared with the single bandwidth optimization scheme and the single efficiency optimization scheme of this type of silicon optical modulator, the additional insertion loss introduced by this method does not increase significantly.

The invention discloses an instantaneous frequency identification method based on short-time fractional Fourier multi-transform, and the method consists of four parts: time-varying component separation, short-time fractional Fourier transform and matching multiple synchronous extrusion transform, and specifically comprises the steps: firstly, carrying out the time-varying component separation through a binary image and a connected region mark; secondly, obtaining an estimated instantaneous frequency position through bandwidth optimization short-time fractional order Fourier transform, secondly, rearranging a time-frequency coefficient by matching a synchronous extrusion operator, and finally extracting an instantaneous frequency curve by using a local modulus maximum method. The method can effectively identify the instantaneous frequency of the time-varying structure.

This invention relates to the field of software update technology, specifically to a method and system for overall online upgrade of smart door locks, comprising the following steps: acquiring firmware and chip encoding to construct an upgrade package and digest value; allocating transmission bandwidth blocks by comparing task increment differences; sending the upgrade package; calculating attenuation rate parameters based on time offset rate and write latency difference; adjusting the packet sending interval and the upper limit of retransmission times; decrypting and verifying the firmware; distributing decrypted data through an interface; writing to a non-running partition to verify integrity; and generating an upgrade audit log. In this invention, bandwidth allocation based on task increment differences optimizes scheduling; attenuation rate is calculated using offset rate and latency difference; packet sending interval is flexibly adjusted to adapt to real-time networks; data security is ensured by combining algorithmic decryption and digest value verification; precise distribution is achieved based on encoding identification of the target interface; firmware is written to a non-running partition to achieve seamless upgrades; and data aggregation generates logs to improve collaborative update efficiency.

The invention discloses an optimization method and system for improving the bandwidth of a neural network accelerator, and relates to the technical field of neural network accelerators, and the optimization method for improving the bandwidth of the neural network accelerator comprises the following steps: carrying out the convolution processing of input data through a convolution pipeline; performing activation function processing on the data subjected to convolution processing by adopting a single data processor; an on-chip buffer is adopted to replace a traditional on-chip memory for caching, and pooling processing and local response normalization processing are carried out on the data after activation function processing through a plane data processor and a channel data processor; and performing data format conversion on the data subjected to the local response normalization processing through a data recombination engine. According to the invention, by optimizing the storage read-write process of the data when the accelerator performs acceleration operation, the utilization rate of memory bandwidth is effectively improved, the time consumed by single acceleration operation is reduced, and the performance of the accelerator is improved.

The invention is suitable for the field of video stream data transmission processing, and provides a remote control video stream dynamic hierarchical transmission system and method, and the system comprises an image collection module which is used for capturing an original video stream; the image preprocessing module is used for converting a grayscale image; the state analysis module is used for comparing continuous gray frames; the image classification unit divides an image into a plurality of blocks and classifies an overall image state into a full dynamic state, a local dynamic state or a static state; the transmission control module is used for providing bandwidth optimization for data transmission and correspondingly calling the full dynamic processing unit, the local dynamic optimization unit and the static control unit; the network transmission cache module is used for receiving a decision of the transmission control module; and the output module is used for outputting pictures. Therefore, a transmission strategy can be dynamically adjusted according to the change degree of the picture, transmission is paused when the picture is static, only difference blocks are sent when the picture is locally changed, full-frame-rate transmission is started when the picture is fully dynamic, the picture state is automatically identified, and graded accurate distribution of transmission resources is realized.

A kind of nuclear function bandwidth optimization mechanical structure load extrapolation algorithm device, comprising: data processing model, data clustering model, load extrapolation model;The present application is clustered according to data density, and the bandwidth of different clusters is respectively obtained according to the result of clustering when carrying out kernel density estimation, to solve the problem of global fixed bandwidth, improve the accuracy of load extrapolation.The mean, standard deviation and maximum of the extrapolated load are more close to the test load, and the corresponding error is less than the fixed bandwidth method.The distribution of the extrapolated load data and the measured load data has high similarity, can effectively simulate the data distribution characteristics and rules of measured load, prove the feasibility of the extrapolation device.The pseudo-damage ratio of the present application is lower than the fixed bandwidth method, and has high consistency with the original load.

A system and method are provided for performing a loopback test in a pre-provisioned multi-channel optical network. A controller determines actual spectral availability within an optical spectrum, irrespective of reserved or pre-planned channel allocations, and overrides spectrum reservation limits to define an effective loopback-test bandwidth. The controller configures a selected network-management channel (NMC) and associated modem for the loopback test based on the determined availability, enabling loopback operation even within an occupied or partially utilized spectrum. The system dynamically adjusts modem transmission parameters and establishes spectral guard bands or deadbands as needed to preserve integrity of in-service traffic and mitigate filter roll-off effects. The approach allows flexible, non-disruptive photonic loopback testing in deployed Reconfigurable Optical Add / Drop Multiplexers (ROADMs) or other multi-channel optical environments without re-provisioning the existing channel plan.

The invention discloses a cable fault analysis method and system based on edge cloud collaboration, and relates to the technical field of intelligent power grid data processing, and the method comprises the steps: building and training a full-quantity fault analysis model at a cloud end based on historical cable fault data; deriving a first light fault analysis model and a second light fault analysis model through model compression, and deploying the first light fault analysis model and the second light fault analysis model at an edge side and a cloud; real-time state data of a target cable are collected and input into the edge side model to obtain a preliminary diagnosis result, then the result is fed back to the cloud model for collaborative diagnosis, and a final fault analysis result is output, so that the technical effects of bandwidth optimization utilization, diagnosis efficiency improvement and diagnosis accuracy enhancement are achieved.

The invention relates to the technical field of communication, and discloses a photoelectric fusion deterministic routing protection method and device, equipment and a medium, and the method comprises the steps: in a preset photoelectric integration topology view, carrying out the reordering of service requests according to source and destination node pairs, obtaining a target request list, and determining at least one candidate working path; isolating the physical link marked with the SRLG attribute identifier, and determining at least one candidate protection path matched with each candidate working path; and respectively performing queue scheduling and bandwidth optimization on packet layer nodes in the candidate working paths and the candidate protection paths until a preset condition is met, and obtaining a pair of target working paths and target protection paths corresponding to each target request. According to the technical scheme provided by the invention, simultaneous failure of the working path and the protection path caused by sharing of the risk link group by the underlying optical network can be avoided, so that the reliability of key services is guaranteed.

A Reconfigurable Optical Add / Drop Multiplexer (ROADM) includes degree components where there are one or more Media Channels (MCs) configured thereon; multiplexer and demultiplexer components; and a controller configured to, responsive to a request for a loopback test on Network Media Channel (NMC) that is part of a configured Media Channel (MC), determine whether there are neighboring channels to the NMC, configure deadbands on optical spectrum based on the determining, cause configuration of a modem for the loopback test, and cause performance of the loopback test with the modem.

The invention provides a label switching-oriented credit value flow control method, which comprises the following steps of: performing two-tuple marking of forwarding equivalence classes and tunnel IDs at an ingress router, and binding a corresponding credit value for each forwarding equivalence class; when it is detected that the forwarding equivalence class carries out traffic transmission, controlling the credit value corresponding to the forwarding equivalence class to be reduced from an initial value to zero at a preset sending slope so as to prevent traffic transmission, and then controlling the credit value to be increased from zero to the initial value at a preset idle slope so as to recover traffic transmission; wherein the sending slope is the slope of the credit value falling process along with the time, and the idle slope is the slope of the credit value rising process along with the time. Therefore, the invention can effectively prevent a single service from occupying excessive bandwidth, and optimize fair distribution of network resources.

The present application belongs to the technical field of object detection. Disclosed is a compressed outline image-based bandwidth optimization object detection method and system. The method comprises: acquiring the current image frame of a target video; extracting a target straight line segment from the current image frame to generate a current outline image; performing inter-frame compression and intra-frame compression on the current outline image to obtain compressed outline data; and determining coded data of the compressed outline data, such that upon receiving the coded data, a cloud inputs into a conditional object detection model the current outline image corresponding to the coded data, an outline image of a previous frame and a detection result mask of the previous frame, so as to obtain a current frame detection result.

The application discloses a storage cluster synchronization method and device and a medium, and relates to the field of storage. In order to improve the replication efficiency during storage cluster backup, the application controls a storage pool of a master cluster to encapsulate to-be-synchronized information and generates multiplexed to-be-synchronized data packets; the to-be-synchronized data packets are sent to corresponding sub-clusters according to a multiplexing and demultiplexing transmission mechanism; and the to-be-synchronized information in the to-be-synchronized data packets is received and stored by the sub-clusters. The to-be-synchronized data packets are sent to the corresponding sub-clusters by using the multiplexing mechanism, and the sub-clusters can obtain the configuration information of the master cluster and the storage information of the storage pools in the master clusters in time and store the information to the sub-clusters. The multiplexing mechanism is used to enable the multiple storage pools to transmit simultaneously, effectively utilize network bandwidth, optimize transmission rate and reduce replication delay.

The application provides an abnormal traffic management method and device, electronic equipment and computer readable storage medium, and relates to the technical field of traffic processing. The management method comprises: identifying abnormal traffic, its abnormal type and the service type of network traffic based on the traffic feature data of network traffic, wherein the network traffic comprises abnormal traffic and normal traffic; predicting the adaptive bandwidth occupation demand of abnormal traffic based on the traffic feature data of network traffic, the service type of network traffic and the abnormal type of abnormal traffic; and adjusting the current bandwidth occupation of abnormal traffic based on the adaptive bandwidth occupation demand of abnormal traffic to manage and control abnormal traffic. At least, the problems that the related art cannot fully adapt to high fluctuation network demand, lacks flexible bandwidth optimization capability, and is still insufficient in detailed traffic management are solved. The application is suitable for abnormal traffic identification and control scenarios.