1067 results about "Low delay" patented technology

The invention belongs to the technical field of data transmission, and particularly relates to an SD-WAN low-delay data transmission method and system based on edge computing, a plurality of edge computing nodes are deployed in an SD-WAN architecture, and the edge computing nodes are distributed on a network edge side, close to terminal equipment or a branch mechanism and have data preprocessing and local computing capabilities; monitoring network state parameters of each link in the SD-WAN in real time, wherein the network state parameters comprise delay, bandwidth, packet loss rate and computing resource utilization rate of edge nodes; routing to-be-transmitted data to the target edge node, and if the node has local processing capability, executing data preprocessing or caching operation; otherwise, forwarding the data to an adjacent edge node or a cloud data center; a distributed cache strategy is adopted, when network congestion is detected according to data access frequency and timeliness requirements, non-real-time data is temporarily stored in a local cache, and asynchronous transmission is executed after a link is recovered, so that the method has the effect of providing higher-quality and more reliable network service for a user.

The invention relates to the technical field of communication, in particular to a low-delay data transmission system and method for marine observation data, and the system comprises a data collection module which collects the multi-modal data of a marine environment, and carries out the priority classification of the data according to the real-time performance and importance; the route optimization module dynamically adjusts a multi-path fragmentation strategy and single-path task distribution in combination with a reinforcement learning algorithm and path optimization data; the communication module supports multi-mode communication modes such as laser communication and low-orbit satellite communication, and monitors the link state in real time; and the data fusion and analysis module performs dimension reduction, fusion and real-time analysis on the data by using manifold learning and a graph neural network, and meanwhile, predicts a long-term trend through time sequence analysis to generate observation report data. The method effectively reduces the transmission delay of high-priority data, improves the response efficiency of the system to abnormal events, and is suitable for the scenes of marine disaster early warning, environment monitoring and the like.

The invention relates to a multi-protocol intelligent terminal interaction method and system based on AI dynamic allocation, and the method comprises the steps: obtaining communication demand data, and generating sorting data; protocol stack self-adaptive scheduling and path switching are carried out in FPGA hardware; optimizing multi-protocol parallel transmission to obtain a low-delay data stream; constructing a load prediction model based on reinforcement learning and dynamically allocating resources; terminal interaction is carried out through cooperative adjustment of computing power and radio frequency power, so that the purposes of low-delay and high-energy-efficiency communication and complex environment adaptation of the intelligent terminal in a multi-protocol scene are achieved.

The invention discloses an intelligent operation and maintenance system, method and equipment for steam turbine lubricating oil and a storage medium, and relates to the technical field of industrial digital intelligent operation and maintenance. Zero loss and low delay of data are guaranteed through the data transmission module, and the data fault problem of traditional manual meter reading is solved; static parameters are converted into dynamic trend, residual life and abnormal early warning through a hybrid model of a visual cloud operation and maintenance module, and intelligent conversion from data to decision is realized; and the oil filtering execution module automatically responds to the instruction to complete closed-loop treatment from polluted oil liquid to clean oil liquid without manual intervention, so that real-time monitoring and intelligent analysis of the running state of the steam turbine are realized, an oil filtering system is automatically started when a set threshold value is reached, the oil liquid is ensured to be in a normal state, the maintenance cost is reduced, and the operation and maintenance efficiency is improved.

The invention discloses a low-delay self-adaptive audio transmission method, system and device and a storage medium, and relates to the technical field of audio, and the method comprises the steps: dynamically recognizing an optimal transmission path in wireless dual bands based on an intelligent band detection and self-adaptive channel selection mechanism; decomposing the target audio data through a hierarchical coding algorithm, and executing self-adaptive adjustment of a differential transmission strategy and a quantization parameter; the dual-band performance is monitored in real time based on a load balancing algorithm, the decomposed transmission tasks are dynamically allocated, and path switching is triggered when it is monitored that the transmission quality of the current band is abnormal; the future buffer requirement is predicted based on a predictive buffer algorithm, the size of a buffer area is dynamically adjusted according to the actual playing condition and the network state change so as to ensure the playing continuity and minimize the delay, the technical bottleneck of traditional single-frequency wireless audio transmission is broken through, an effective frequency band coordination mechanism is realized, resource waste or transmission conflicts are avoided, and the transmission efficiency is improved. And the double-frequency advantage is fully exerted.

The invention provides an optical-electric hybrid ultra-low time delay communication method and system, and relates to the technical field of communication, and the method comprises the steps: outputting a global synchronous clock signal with clock jitter less than 1ppm, dynamically dividing micro time slot resources in an orthogonal frequency division multiplexing symbol period, and generating a dynamically adjusted micro time slot resource distribution result; calculating an optimal phase offset matrix of the metasurface intelligent reflecting surface through a depth deterministic strategy gradient algorithm to obtain an optimized electromagnetic wave propagation path; generating a global optimization check matrix by aggregating the locally trained lightweight error correction model gradient of each node to obtain a compensated data stream; and constructing a causal graph model dynamic pruning high-entropy path to minimize causal entropy, through multi-agent reinforcement learning, taking time delay-energy efficiency as a game target to decide an optimal modulation order and a subcarrier switching strategy, and obtaining an optimized stable communication link. According to the invention, high-reliability and low-delay communication basic support is provided for high-precision intelligent manufacturing.

The invention discloses a video stream adaptive low-delay real-time transmission method and system based on edge calculation. The method comprises the following steps: receiving a real-time video stream from a network camera, creating a pipeline queue, adding timestamp information for each video frame, and setting a queue protection mechanism; the coded video frames are taken out from the input queue, and the frames in the video are processed through hardware acceleration decoding; the resource use condition of the system is monitored in real time; executing a self-adaptive frame skipping decision according to a performance monitoring result; timestamp generation: dynamically calculating a timestamp interval according to an actual processing frame rate; receiving the decoded original video frame and the corresponding timestamp information, accelerating decoding by using hardware, and executing a video coding operation; and packaging and transmitting the coded video data, and providing a standard protocol interface to be connected with a client for playing. According to the scheme, stable low delay and relatively low resource occupation can be kept, and meanwhile, the video quality is remarkably improved.

The invention discloses a memory prefetching control method and device, a storage medium and a program product, and relates to the technical field of computers. A heterogeneous logic model covering multiple access modes is constructed, a prefetch strategy candidate set is generated based on standard logic models corresponding to different access modes, the expression limitation of a single model on complex multi-mode access features is broken through, and access laws in different scenes can be comprehensively covered; through calculation, sorting and screening of the prefetch cost, targeted evaluation of the strategy is realized, bandwidth load aggravation and resource waste caused by redundant prefetch are avoided, and optimization of the target prefetch strategy in the aspects of low delay and high bandwidth utilization rate is ensured. According to the method and the device, the problems that a fixed logic model is difficult to adapt to dynamic diverse memory access behaviors and resource utilization is low in efficiency in the prior art are solved, and the technical effects that the method does not need to depend on fixed logic, can dynamically adapt to the change of the access mode through flexible combination and strategy screening of heterogeneous models, and is particularly suitable for terminal equipment with limited resources are achieved.

The invention provides an RDMA data transmission method, network equipment and a system, and relates to the technical field of communication, in particular to the technical fields of chip processors, computing power clusters, ensemble communication operation, large models and the like. The method is applied to a network device comprising an xPU and an RNIC, the xPU comprises a first engine, and the RNIC comprises a second engine communicating with the first engine, a WQE Buffer and an RDMA engine communicating with the second engine. The method comprises the steps that a first engine assembles a WE based on a hardware unloading asynchronous copy instruction set and transmits the WE to a second engine; the second engine stores the WE in a WQE Buffer and transmits the WE to the RDMA engine; the RDMA engine executes data processing based on the WE, wherein the data processing comprises data transmission, memory access and queue management; the first engine receives feedback of data processing transmitted via the second engine. The RDMA data transmission task is directly unloaded to the special engine through the hardware asynchronous instruction set, decoupling of the RDMA data transmission task and computing resources of the system is achieved, and an efficient and low-delay RDMA data transmission solution which does not depend on CPU / GPU resources is provided for data transmission intensive scenes such as an MoE model.

The invention provides a multimode communication network dynamic scheduling system fused with AI computing power, which belongs to the technical field of communication equipment and artificial intelligence hardware fusion, and is characterized in that based on a four-layer hardware architecture of'core control-computing power support-multimode communication-high-speed interconnection ', an interconnection layer is constructed by adopting high-speed interfaces such as PCIe / SGMII + and the like, and inter-module fault is realized; 10ms low-delay data transmission is realized; the AI computing power module integrated with the 8TOPS NPU is deeply coupled with the multi-mode communication module, and the AI computing power module is quantized and compressed through an LSTM / Transform model and then solidified to an NPU special storage to realize scene self-adaptive scheduling; a'acquisition-identification-decision-feedback 'hardware closed loop is established, the communication interruption rate is reduced in an emergency scene, the overall power consumption is reduced, and AI reasoning is delayed. Through breakthrough hardware architecture design, AI computing power and a multi-mode communication module are deeply integrated, an intelligent communication resource scheduling system is constructed, and dynamic optimal configuration of communication resources in multiple scenes can be realized.

The invention relates to the technical field of audio control, and discloses a low-delay audio input switching method and system, a storage medium and equipment, and the method comprises the steps: carrying out the parallel pre-initialization of a plurality of pieces of audio input equipment, and building an independent parallel audio data cache for each piece of equipment; monitoring the state of each audio input device and the audio stream quality in real time, and judging whether switching is triggered or not based on a multi-factor decision model; after the switching decision is triggered, seamless audio data stream switching is executed, and format unification processing and cross fade-in and fade-out transition are included; a unified equipment operation interface is provided through the hardware abstraction layer, and system resources are optimized and managed; a delay sensing closed-loop control mechanism is constructed, processing delay of each link is monitored in real time, a caching strategy, a processing algorithm and resource allocation parameters are dynamically adjusted, self-adaptive balance of low delay and high tone quality is achieved, and through the method, quick and smooth switching of audio input equipment is achieved, delay is remarkably reduced, and real-time audio experience is improved.

The invention relates to the technical field of wireless communication, and discloses a communication equipment command and dispatch system based on artificial intelligence, the system maps the state of communication equipment into a standardized carrier phase disturbance mode, and after the disturbance mode is adaptively adjusted in combination with channel noise perception and conflict arbitration logic, the communication equipment is commanded and dispatched. Controlling the radio frequency front end to carry out injection; the adjacent communication equipment directly detects the disturbance mode to trigger the cooperative scheduling action by monitoring the physical error signal of the carrier synchronization loop of the adjacent communication equipment, and the implicit cooperative mode based on the physical layer beacon is constructed, so that the complex high-level signaling interaction required by the traditional scheduling is avoided, and the scheduling efficiency is improved. According to the method, the millisecond level, determined by a software protocol, of the collaborative response time between the devices is substituted into the microsecond level determined by the hardware physical layer response entscheid, the system can still maintain reliable transmission of scheduling instructions when facing high-density concurrent conflicts and strong channel noise, and a technical implementation path is provided for ultra-low-delay and high-reliability communication.

The invention provides a voice replication and low-delay streaming voice synthesis method and system based on an ultra-short sample, relates to the technical field of artificial intelligence, and is suitable for intelligent interaction, outbound service and multi-mode communication scenes. Deep personalized customization of intelligent voice interaction and real-time generation of ultra-low delay are realized, and bidirectional streaming interaction of a system level is supported, so that the fluency and response speed of dialogues are improved; an ultra-short sample sound duplicating module specially designed for processing ultra-short audio samples and a speech synthesis engine with ultra-low delay and bidirectional streaming output capability are integrated, and the capabilities of the ultra-short sample sound duplicating module and the speech synthesis engine are applied to a real-time and interactive intelligent speech interaction process to form a complete and efficient solution. The industrial pain point is directly solved in a targeted manner, and the method has important commercial application value.

The invention discloses a dynamic batch processing method and device for reasoning requests, electronic equipment and a storage medium, relates to the technical field of computers, and aims to learn and obtain an optimal batch processing strategy by utilizing a dynamic batch processing reward algorithm of reinforcement learning, dynamically adjust the batch processing amount of the reasoning requests and improve the efficiency of batch processing of the reasoning requests. The reasoning request processing efficiency and the resource utilization rate are remarkably improved, the training and reasoning progress is accelerated, the resource utilization rate and the reasoning response speed are improved, the real-time performance index is monitored and obtained to dynamically adjust the optimal batch processing strategy in the process that the reasoning node executes the reasoning request, data changes are adapted, and the reasoning efficiency and the reasoning response speed are improved. The method is suitable for reasoning scenes requiring high throughput, low delay and high resource utilization rate, so that the technical problem of low resource utilization rate or response delay increase caused by static batch processing in the face of request quantity fluctuation or data distribution change can be solved, and resource management and scheduling are more efficient and unified.

A low-delay multi-protocol intelligent lighting synchronization system based on a unified abstraction layer comprises the steps that an instruction from a multi-protocol bridging module is received, and network round-trip time data of terminal equipment is acquired through an active detection mechanism; based on the network round-trip time data, adopting a Kalman filtering algorithm to construct a delay prediction model so as to predict the future network delay of the terminal equipment; inputting the instruction into a third-stage buffer area for processing, and dynamically adjusting the trigger frequency of the active detection mechanism according to the load state of the third-stage annular buffer area; calculating queue delay of the buffer area according to the received load state of the buffer area, and obtaining final sending time of the instruction in combination with future network delay of the terminal equipment; and at the final sending time, sending the instruction from the sending buffer area to the corresponding terminal equipment. According to the system, low-delay and high-stability synchronization of cross-protocol equipment in the field of intelligent illumination is realized.

This disclosure provides methods, components, devices and systems for access point (AP)-aided downlink transmission opportunity (TXOP) preemption by stations (STAs) with low-latency uplink traffic. Some aspects more specifically relate to how a STA transmits a preemption indication (PRI) associated with a signature of the STA and how an AP, via reception of signature-based PRIs, may obtain information relating to which specific STAs have low-latency traffic ready for uplink transmission. Such signatures may relate to a resource allocation, such as a tone pattern, used to transmit at least a portion of a PRI. In some examples, the AP transmits a preemption scheduling (PRS) frame that includes channel access information, for each of the STA(s) that sent a PRI, associated with a downlink TXOP of the AP. Such channel access information may include at least a grant of permission for STA(s) to attempt uplink preemption of the downlink TXOP.

The invention provides a low-delay transmission method and system for realizing virtual-real fusion of intelligent Internet of Things and meta-universe, and relates to the technical field of meta-universe level, and the method comprises the steps: obtaining and classifying physical world data, building a mapping relation between a data stream and a virtual space, constructing a double-layer data processing architecture, and setting different transmission priorities. And monitoring network quality in real time and starting a data compensation mechanism. According to the method, real-time interaction between the physical world and the virtual space can be realized, the data transmission efficiency and stability are improved, the system delay is reduced, and the immersion experience of a user is enhanced.

The invention discloses a time division duplex multi-carrier synchronous transmission method based on 5G, which relates to the technical field of communication, and comprises the following steps of: establishing a carrier mapping table, respectively mapping a plurality of logic carriers to predefined physical resource blocks, and marking uplink and downlink switching time slots according to a time division mode; after a user terminal receives a synchronization signal, alignment is carried out through a high-precision local clock and the reference time of a main base station, and a synchronization reference point is recorded with a nanosecond-level time resolution. According to the invention, through the dynamic synchronization control and frequency domain interference suppression technology, the synchronization stability and the data transmission reliability in a high-speed scene are significantly improved; a synchronous load scoring mechanism is introduced to realize efficient scheduling and conflict avoidance of synchronous resources in a multi-user concurrent environment; and in combination with interference weight estimation and an adaptive filtering strategy, the anti-interference capability and environment adaptability of the system are effectively enhanced, and the requirements of key services such as the Internet of Vehicles and industrial control on low-delay and high-reliability communication are comprehensively met.

The invention belongs to the technical field of computer storage, and particularly relates to a solid state disk data management and efficient storage distribution method, which comprises a data characteristic sensing and classifying unit, a data characteristic sensing and classifying unit, a data processing unit, a data storage unit and a data distribution unit, wherein the data characteristic sensing and classifying unit is configured for analyzing write-in request data flow entering a solid state disk in real time or periodically, extracting various characteristic parameters associated with data blocks and storing the data blocks; classifying the data on the basis of the characteristic parameters, and distributing one or more data classification labels for each data block to be written or stored; and the self-adaptive storage allocation strategy unit is configured to be used for dynamically selecting an optimal physical block for data writing according to the data classification label and in combination with the physical block state information of the current flash memory medium. According to the invention, the solid state disk can better adapt to various dynamic and variable workloads, and especially shows more excellent continuous write-in performance, lower delay jitter and obviously prolonged service life when processing a large amount of random write-in, small block write-in and write amplification sensitive applications.

The invention discloses a scheduling instruction real-time monitoring system for streaming data processing, which relates to the technical field of streaming data processing and comprises a data access module, an instruction analysis module, a dynamic scheduling strategy module, a real-time monitoring module, a scheduling execution module, a visual monitoring interface, an exception handling module and an extension module. The data access module is used for receiving a multi-source heterogeneous data stream in real time and carrying out protocol analysis and priority marking on input data, and the instruction analysis module is connected with the data access module and is used for extracting a scheduling instruction in the data stream and converting the scheduling instruction into executable operation; and the dynamic scheduling strategy module generates a dynamic scheduling strategy based on the real-time data traffic, the system load and a preset rule. Through the dynamic scheduling strategy module and real-time monitoring feedback, the system can automatically adjust resource allocation according to real-time load prediction, and dynamic balance of high resource utilization rate and low delay is achieved.

In various examples, systems and methods are disclosed relating to coordinating and synchronizing the actions of different types of processors with low latency. Different types of processors may perform better at different types of tasks. By coordinating the processing of a one-dimensional processor such as a vector processing unit (VPU) and the processing of a two-dimensional processor such as a pixel processing engine (PPE), an overall speed of task completion can be improved.

The invention relates to the technical field of humanoid robot control. The invention provides a humanoid robot bilateral force feedback teleoperation method of a force compensation mechanism. According to the method, a 5G private network is used for deployment, the characteristics of low delay, high reliability and large bandwidth of the 5G private network are utilized, real-time interaction of high-dimensional haptic data in a remote and cross-domain environment is effectively supported, cross-domain teleoperation can be achieved, high-fidelity feedback transmission of environment contact force is effectively achieved, and the real-time interaction of the high-dimensional haptic data in the remote and cross-domain environment is achieved. The precision, the operation efficiency and the overall safety of remote operation of the humanoid robot in complex industrial scenes such as nuclear power maintenance, precise assembly and high-risk environment operation are remarkably improved, the gap between traditional automation and low-efficiency remote operation is filled up, and reliable technical support is provided for advanced industrial application needing man-machine cooperation fine force control.

The invention discloses a time delay optimization method and device of a network interconnection system, electronic equipment and a medium, and relates to the field of network communication, and the method comprises the steps: adjusting the BAR resource window size of a non-transparent bridge processor in a BIOS based on a firmware file of a target processor, and re-burning the adjusted BIOS to a BMC processor, and initializing each DMA channel in the non-transparent bridge processor to obtain a physical address of each DMA channel, identifying the minimum physical address as a mapping initial address of the BAR, and mapping the mapping initial address and the BAR address space sum to a virtual address space of a user mode so as to access each DMA channel. The problem that the requirements for the overall bandwidth and low delay of the storage controller cannot be met when one DMA channel is started is solved, the data concurrent processing capacity of the non-transparent bridge processor is improved by enabling the four DMA channels and mapping the four DMA channels to the user mode, and therefore the interconnection bandwidth of the controllers is higher, and the interconnection delay of the controllers is lower.

The invention relates to the technical field of computers, discloses a heterogeneous computing low-delay communication method and system, and aims to solve the problem of high delay caused by high communication protocol overhead, lack of dynamic scheduling collaboration, memory migration redundancy and non-uniform cross-node communication abstraction in existing heterogeneous computing. The method comprises the following steps: receiving a task scheduling request and analyzing a task dependency graph; tasks are dynamically allocated based on node loads and link states; rDMA, NVLink or PCIe straight-through protocols are adaptively selected according to node types to establish communication channels; zero-copy data exchange is realized through a shared memory mapping buffer area; hardware timestamps are utilized to synchronize feedback delays with PTP to optimize scheduling. The system comprises a heterogeneous computing node cluster, a unified communication scheduling controller, a low-delay communication protocol stack, a shared memory mapping buffer area and a communication delay sensing task distributor. According to the scheme, the communication delay is remarkably reduced, and the throughput and the task execution efficiency are improved.

Systems and methods for tracking errors in a quantum computing system are provided. In one example, a method can include matching data associated with one or more detection events associated with a quantum computing system using a successive pattern structure comprising a plurality of processing layers. Each processing layer in the plurality of processing layers can be associated with a pattern including a plurality of sections. Each section can be associated with a processing unit operable to match one or more detection events near a center of the section. The method can include tracking one or more errors of a quantum computing system based at least in part on a matching of one or more detection events.

The invention discloses a key value storage system indexing method oriented to an NVM-NVMe SSD (Non-Volatile Memory-Non-Volatile Memory Express Solid State Disk) hybrid architecture, which comprises the following steps of: constructing a heterogeneous storage architecture taking cold and hot data perception as a core driving mechanism, coordinating and managing two types of storage media, namely a non-volatile memory NVM and a solid state disk NVMe SSD, and realizing efficient identification, layered writing and dynamic migration of cold and hot data. According to the method, the characteristics of low delay, durability and byte addressing of the NVM are utilized, the frequency and I / O overhead of Flush and Compaction operations are reduced in a data write-in path, meanwhile, the problem of mixed storage of cold and hot data is avoided, and therefore the overall performance and storage efficiency of a system are remarkably improved. In addition, by introducing an asynchronous migration module, the method can dynamically adapt to the change of data popularity along with time evolution, and effectively support high performance and high availability of the key value system in long-term operation.

The invention relates to the technical field of automatic driving, and particularly discloses a low-delay moving target detection method and system for navigation, and the method comprises the steps: collecting an event flow through a vehicle-mounted event camera; adjusting the time window length of the event flow in real time according to the vehicle speed, the vehicle acceleration and the event density gradient to obtain an event image; inputting the event image into a pulse neural network to obtain an output feature map; detecting the feature map through a feature pyramid network and a detection head to obtain a motion trail flow of the target; and performing nonlinear model predictive control according to the motion trail flow to obtain an optimized motion trail flow of the target.

Low- to ultralow-latency content delivery via real-time transport protocol (RTP) is provided. In an example, transport packets, which carry a packetized elementary stream (PES), are selectively marked based on frame size. More particularly, if a number or size of packets needed to transport a picture or PES packet exceeds a threshold, they are marked for preferential processing, such as low latency, low loss, and scalable throughput (L4S) processing. If the number or size of packets is below the threshold, they are marked for default or non-preferential processing. The marking may be applied to entire pictures, tiles, and / or slices. Related apparatuses, devices, techniques, and articles are also described.