74results about How to "Reduce bandwidth pressure" patented technology

The invention provides a UE5-based automatic construction and release method, and relates to the technical field of software development, the UE5-based automatic construction and release method comprises a construction module and a release module, and the construction module comprises the basic steps of construction triggering, pre-construction task execution, client and server packaging, log recording and automatic alarm. The release module comprises the basic steps of differential packet generation, version detection and automatic release, the intelligent prediction trigger carries out deep learning analysis on project development historical data, the peak period of code submission and the code conflict risk can be accurately predicted, construction is automatically triggered in the low-risk and resource idle period, and the construction efficiency is improved. The problem of low resource utilization efficiency caused by lack of multi-dimensional comprehensive judgment in a traditional construction triggering mode is effectively avoided.

The invention relates to a touch all-in-one machine interaction control method and device, computer equipment and a medium, and the method comprises the steps: receiving image data through a preset video stream protocol, and obtaining a corresponding image data stream; acquiring a real-time network bandwidth condition, and then performing adaptive compression processing on the image data stream based on the real-time network bandwidth condition, and dynamically adjusting image transmission parameters; comprehensively analyzing the image data stream by using a deep learning algorithm, extracting operation characteristics of a user, generating an output control instruction based on the operation characteristics, and further controlling and adjusting image display and / or an equipment state; content information is extracted from the image data stream, and content analysis is carried out by adopting a corresponding content analysis strategy according to the content information, so that real-time display and / or storage are / is carried out according to the analyzed content; and obtaining a user interaction behavior, generating a corresponding adjustment feedback instruction based on the user interaction behavior, and performing personalized adjustment on the user interface. The method has the effect of improving the image transmission quality.

The invention relates to the technical field of video signal switching, and discloses a multi-channel video signal automatic switching method and device based on a director switching table. The method comprises the following steps: carrying out preprocessing and feature calculation on a plurality of video signal channels, generating a signal feature vector set and a signal quality index, and constructing a dynamic weight matrix; executing self-adaptive frame rate control and energy optimization to obtain an optimized hardware working state and a pre-heating cache state; generating scene change mapping; executing an intelligent switching decision and signal fusion to obtain a video signal and a switching log after transition processing; performing data compression and transmission optimization, and generating a compressed data stream and a transmission control parameter; according to the multi-channel video signal processing and switching method and the multi-channel video signal processing and switching device, full-process automation from video signal preprocessing to final output is realized, the multi-channel video signal processing and switching efficiency is greatly improved, and intervention of manual operation and possible errors are reduced.

The embodiment of the invention discloses a data multicast method, device and system, electronic equipment and a storage medium, and relates to the technical field of communication, and the method comprises the steps that a data source node obtains multicast address information of multicast data; the data source node generates a data storage message carrying multicast data and multicast address information; the data source node sends the message to the switching node; the switching node multicasts the message to each member node of a multicast group according to the multicast address information in the message; and each member node of the multicast group stores the multicast data in the message to the memory position pointed by the respective node storage address according to the multicast address information in the message. The embodiment of the invention can be suitable for a data multicast scene when a plurality of CPUs / GPUs are used for model parallel, data parallel or pipeline parallel processing in large-scale model training, so as to solve the problem of overweight burden of memory bandwidth and network bandwidth in the prior art.

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 present invention relates to the field of data transmission technology, and specifically to a self-negotiation access method and system for cloud edge terminals, including: discovering several terminal devices to be accessed in the same edge node through broadcasting, and obtaining the data of several terminal devices to be accessed in the same edge node respectively based on the data access standard model; sorting several terminal devices to be accessed based on the sorting model, and obtaining the access order of the terminal devices to be accessed; determining the access mode of the terminal devices to be accessed based on the self-negotiation model; accessing according to the access mode and access order of the terminal devices to be accessed; and authenticating the terminal devices to be accessed through the authentication mechanism during access. The present invention can quickly determine the access order and mode of terminal devices through sorting and self-negotiation mechanisms, significantly improve access efficiency, and optimize resource allocation.

The invention relates to the technical field of network acceleration, and discloses an edge-end large language model reasoning acceleration method and accelerator, and the method comprises the following steps: reconstructing a calculation process of a decoding stage, and carrying out the deep fusion of a multi-head attention mechanism and the calculation operation of a feedforward network; the weight and key value data are stored in HBM, and the coefficient and the accumulated attention score are stored in DDR; for linear matrix calculation, a unified matrix calculation unit is used for executing multi-precision matrix operation; for nonlinear function calculation, a mathematical transformation and linear fitting method is adopted, a Softmax function is converted into operation with 2 as the bottom through a bottom conversion formula, and truncation and third-order linear fitting are conducted on a Sigmoid function; and constructing a key value screening algorithm based on the accumulated attention score, dynamically adjusting a key value storage position, maintaining a recent key value cache region and an important key value cache region in a limited cache space, and realizing key value efficient cache in long text reasoning.

The invention provides a central control method and system for synchronously playing sound equipment in multiple rooms of a hotel, and is applied to the field of data synchronous processing. According to the invention, the audio stream transmission path diagram is constructed based on the network topology preset by the audio routing table, so that the system can visually check the audio stream transmission path of each room and identify and optimize links possibly causing delay, synchronous playing of cross-room sound equipment can be realized, audio signals can be ensured to be transmitted at the lowest delay, the audio quality is improved, and the user experience is improved. And meanwhile, by dynamically adjusting the compression ratio of audio coding, the system can relieve the network bandwidth pressure on the premise of keeping the audio quality, and audio transmission interruption or quality reduction caused by insufficient network bandwidth is avoided.

The invention discloses an image display control method and device and a chip, and the method comprises the steps: reading a first image frame from an on-chip memory through employing a two-dimensional image processing unit under the condition that the target resolution of a display image is higher, combining a to-be-displayed image with the first image frame, generating a second image frame, writing the second image frame into the on-chip memory, and enabling the to-be-displayed image to be displayed in the on-chip memory; according to the image rendering method and device, the first image frame in the on-chip memory is replaced by the first image frame in the on-chip memory, so that the image rendering process is completed by storing one image frame in the on-chip memory and reading and writing the on-chip memory, multiple times of reading and writing of the off-chip memory are avoided, the bandwidth pressure is reduced while the image rendering effect is guaranteed, and the image display efficiency is improved.

An iterative learning fault-tolerant consistency control method for a multi-flexible-mechanical-arm system comprises the following steps that S1, a directed communication topological structure is constructed, flexible mechanical arms serve as followers, and a virtual leader is established; a mathematical model of the multi-flexible mechanical arm system is established based on the Hamiltonian principle; s2, constructing a finite time observer for estimating the angular displacement and the angular velocity of the virtual leader for each follower of the multi-flexible mechanical arm system; s3, designing an iterative learning rule, a parameter adaptive rule and a control signal of the multi-flexible mechanical arm system based on the virtual leader state estimated by the finite time observer in combination with an actuator fault model and an event triggering rule based on sampling data; according to the control method, fault-tolerant consistency control design based on a sampling data event triggering mechanism is carried out in combination with an estimated value of a finite time observer, so that communication resources are saved, and meanwhile, consistency control of the system is realized.

The invention relates to a Keystone-based deep ground security heterogeneous data fusion method and system, and the method comprises the steps: deploying a Keystone trusted execution environment on a deep ground edge computing node, creating a security enclave, carrying out the encryption access of multi-source heterogeneous data on the basis of remote authentication and key agreement, completing the space-time alignment and feature extraction after decryption in the enclave, and carrying out the fusion of the multi-source heterogeneous data. And performing cross-modal association analysis and risk assessment based on a preset model or a rule engine to obtain a fusion result, encrypting and signing the fusion result in the enclave, distributing the fusion result to an authorized receiver through a secure channel, and realizing one-time task destruction, long-term task cycle reconstruction and key refreshing in combination with enclave full life cycle management. According to the method, the credibility and the real-time performance of heterogeneous data fusion processing in a complex scene can be improved while the confidentiality and the integrity of deep operation and maintenance data are guaranteed.

The invention belongs to the field of radar signal processing software design, and particularly relates to a MicroBlaze-based FPGA (Field Programmable Gate Array) multi-channel pulse compression implementation method, which is characterized in that a multi-DSP (Digital Signal Processor) multi-channel pulse compression task is completed by using one FPGA, the DSP design cost can be greatly reduced, the hardware integration degree is improved, and good economic benefits and popularization values are achieved. According to radar multi-channel multi-packet format data, a multi-channel pulse compression method based on an FPGA is adopted, an AXI DMA bus is used, sub-array data obtained after pulse compression is stored in a DDR according to channels, one frame of data is stored in a single channel in sequence, the data moving process is omitted, and time expenditure is saved. The method can be applied to scenes such as digital front-end processing and radar original data preprocessing, the data volume is greatly compressed, the bandwidth pressure of subsequent signal processing is effectively reduced, and the method has the processing advantages of high bandwidth and high real-time performance.

This invention discloses a power distribution IoT communication and equipment management system based on dynamic optimization algorithms. It adopts a four-layer architecture: a perception layer, an edge layer, a platform layer, and an application layer. The end devices in the perception layer are used to collect power distribution data and execute control commands. The edge devices in the edge layer, and their managed sub-devices, are used for protocol conversion, data preprocessing, and executing dynamic optimization algorithms. The platform layer is used for message parsing, algorithm optimization, device management, and data storage. The application layer provides a visual user interface. Through dynamic optimization algorithms and a full lifecycle device management scheme, the system significantly improves the reliability of power distribution IoT data transmission, optimizes network resource utilization, enhances equipment operating efficiency, ensures the real-time performance of critical services, and features strong compatibility, security, and concurrent processing capabilities.

The invention provides an unmanned aerial vehicle low-interaction amount pre-coding anti-interference method based on strong and weak partition dynamic clustering, relates to the field of unmanned aerial vehicle communication, and solves the problem that when an unmanned aerial vehicle cluster is used as an air distributed base station to communicate with a ground user in an external interference scene, the unmanned aerial vehicle cluster does not interact with the ground user. The problem of how to ensure the communication quality of interfered users while reducing the information interaction amount is solved. The method comprises the following steps: S1, performing unmanned aerial vehicle clustering operation based on clustering size dynamic control; s2, performing ground user confirmation operation based on cluster size dynamic coordination; s3, performing strong and weak cluster interference partition estimation in unmanned aerial vehicle clustering; s4, performing precoding matrix optimization iteration on each unmanned aerial vehicle cluster to realize an anti-interference process; s5, calculating and analyzing the information interaction amount in the communication process, and evaluating the anti-interference effect; the method can ensure and improve the signal to interference plus noise ratio of users interfered by the outside, and can significantly reduce the information interaction amount compared with a non-clustering scheme.

The present application relates to the technical field of Internet of Things, in particular to a city intelligent guardrail real-time monitoring method based on Internet of Things, comprising the following steps: collecting original vibration signals of the guardrail through an Internet of Things sensing terminal deployed on a city guardrail node, projecting and reducing dimension of the original vibration signals by using a preset compressive sensing observation matrix to obtain a compressed measurement value data packet; in the present application, time-frequency feature extraction is performed on the reconstructed time-domain vibration waveform, the impact event type is identified according to the characteristic data, and the rapid response and processing of traffic accidents are ensured; in the case that no impact occurs and the waveform presents a free decay trend, the decay tail wave data segment is intercepted, the guardrail structure fastening integrity evaluation index is calculated, and comparison with the safety benchmark threshold value is performed, so that the loosening state of the connecting piece can be quantitatively determined, and external impact monitoring and internal structure health condition diagnosis can be simultaneously realized by using a single vibration source without additional deployment of stress sensors.

The invention provides a state monitoring method and device and a storage medium, and relates to the technical field of communication, the method is applied to a first center universal terminal, and comprises the following steps: sending a heartbeat message to at least one universal terminal, the at least one universal terminal being a universal terminal establishing a connection with the first center universal terminal; determining whether heartbeat response messages sent by the at least one ubiquitous terminal are received or not; based on whether heartbeat response messages sent by the at least one ubiquitous terminal are received, the state of the at least one ubiquitous terminal is determined, and the state is an online state or an offline state; and for each generic terminal in the at least one generic terminal, state information of other generic terminals except the generic terminal in the at least one generic terminal is sent to the generic terminal, and the state information of other generic terminals is used for indicating states of other generic terminals. According to the scheme provided by the embodiment of the invention, the network bandwidth pressure is reduced, the network performance is improved, and the power consumption of each generic terminal is reduced.

The present invention relates to the technical field of cloud platform construction, and in particular to a method for constructing an intravenous treatment management cloud platform. The method comprises the following steps: performing gene expression pathway enrichment analysis on the patient's venous system through gene sequencing technology, thereby obtaining gene expression data; performing gene expression spectrum analysis on the gene expression data and performing intravenous treatment response gene labeling, thereby obtaining a treatment response gene labeling set; using cloud computing technology to build an elastic computing resource scheduling system, thereby obtaining resource scheduling system data; performing node load balancing weight scaling based on resource scheduling system data and gene expression data, thereby obtaining resource balancing scaling data; performing multi-scale pyramid feature refinement on gene expression data, thereby obtaining gene image feature refinement data. The present invention realizes the method for constructing an intravenous treatment management cloud platform through node load balancing weight scaling and GPU heterogeneous computing acceleration processing.

The application relates to the field of robot control, in particular to a multi-modal perception pipeline inspection robot control method and an inspection robot. The method comprises the following steps: based on the inspection robot, pipeline detection perception is carried out, and a real-time three-dimensional structure map is generated; the real-time three-dimensional structure map is compressed and uploaded to a cloud monitoring platform; when the cloud monitoring platform receives the real-time three-dimensional structure map, spatial topology analysis is carried out, an inspection instruction is generated, and the inspection instruction is sent to the pipeline internal inspection robot; the internal inspection robot receives the inspection instruction, carries out adaptive path planning, and generates a path execution sequence; the inspection robot carries out dynamic inspection operation based on the path execution sequence, synchronously collects data and returns the data to the cloud monitoring platform, and completes the inspection control operation. The application realizes high-precision and automatic buried oil pipeline inspection operation, and improves the detection efficiency and safety of the buried oil pipeline.

The application discloses a communication method, an IMS network element, a storage medium and a computer program product, relates to the technical field of communication, and the method comprises the following steps: receiving a first SIP invitation request from a first terminal, the first SIP invitation request being a request of initiating a video call by the first terminal to a second terminal; in response to the first SIP invitation request, determining that the first terminal opens a semantic service function and has video semantic extraction capability, sending a first SIP invitation response carrying a first SDP response to the first terminal, the first SDP response comprising first information used for instructing the first terminal to convert video data collected in the video call into video semantic features; performing timestamp alignment based on video semantic features and audio data sent by the first terminal, and generating first video call data based on the video semantic features and the audio data after the timestamp alignment, and sending the first video call data to the second terminal. The application can realize generative communication in the IMS.

This invention relates to the field of byte processing technology, providing a method and apparatus for accelerating byte encryption and decryption. The invention adds operation bits to bitwise operation instructions; uses corresponding operation bits to perform byte selection, endianness conversion, single-input multiple shift processing, and / or efficient table lookup operations. Specifically, byte selection avoids invalid bit calculations, improving instruction utilization. Endianness conversion ensures correct data order, minimizing duplicate data requests due to order errors, thus reducing the need for bitwise operations and improving GPU bandwidth utilization. Single-input multiple shift processing reduces the number of shift instructions, increasing throughput and avoiding repeated loading of the same data; efficient table lookup operations improve bitwise computation throughput, significantly reducing bandwidth pressure. This invention optimizes the granularity of bitwise operations, enabling encryption and decryption algorithms to efficiently utilize computing resources on the GPU while minimizing bandwidth consumption.

This application relates to a method and apparatus for substation equipment condition monitoring based on edge computing. The method includes: deploying edge computing nodes at the substation side, which aggregate real-time condition data collected by monitoring equipment; preprocessing and extracting features from the real-time condition data at the edge computing nodes to obtain equipment feature vectors representing the health status of the equipment; dynamically determining high-risk monitoring areas within the substation based on historical operation and maintenance data and real-time power grid operation requirements, and deploying corresponding lightweight intelligent diagnostic models at the edge computing nodes according to these high-risk monitoring areas; using the lightweight intelligent diagnostic models to perform real-time analysis of the equipment feature vectors to obtain equipment condition diagnostic results including fault types and fault probabilities; and executing tiered early warning or rapid control operations at the edge side based on the equipment condition diagnostic results. This method can improve the diagnostic results of substation equipment condition monitoring.

The invention provides an IO processing device and method. The device comprises a CL application control module and a waiting queue management module. Wherein the CL application control module reads to-be-processed IO from an IO queue and reads to-be-processed SGE corresponding to the to-be-processed IO from an SGE queue; for the to-be-processed IO, sequentially applying for CL by taking the CL as a unit, writing information of the successfully applied CL into a CL information buffer, generating a waiting IO and a waiting SGE corresponding to the failed applied CL for the failed applied CL, and writing the waiting IO and the waiting SGE into a waiting queue; and after the waiting queue management module receives a message that the CL corresponding to the waiting IO is released, taking out the waiting IO and the waiting SGE corresponding to the released CL from the waiting queue, and respectively putting the waiting IO and the waiting SGE into the IO queue and the SGE queue. According to the technical scheme, the CL which fails to apply is skipped, subsequent CL processing is not blocked, and the circulation efficiency of the CL is improved.

The invention relates to the technical field of industrial process control and data acquisition, and particularly discloses a transformer copper strip production process data real-time monitoring and wireless transmission system which comprises a data acquisition and edge processing layer, a deterministic wireless transmission layer and a centralized analysis and display layer. The data acquisition and edge processing layer acquires and preprocesses production data in real time; the deterministic wireless transmission layer constructs a low-delay and high-reliability wireless transmission channel based on a time division multiple access and frequency division multiplexing mechanism; and the centralized analysis and display layer stores, analyzes and visualizes the data. By means of the scheme, millisecond-level and deterministic wireless transmission and omnibearing intelligent monitoring of data in the production process are achieved, and the production reliability and the intelligent level are improved.

This invention discloses a method, system, equipment, and medium for the synchronous distribution and analysis of aerospace simulation training scenarios. The method includes: the director notifying both sides of the adversarial training to acquire scenario information; both sides processing the acquired scenario information to generate scenario model data and satellite model data respectively; both sides loading the scenario model data and satellite model data and conducting adversarial exercises; and the maneuver information of one side being sent to the other side after a delay by the director. This invention employs a unified distribution of basic simulation scenario information and satellite, ground station, orbit, and sensor data by the director; both sides acquiring data and constructing dynamic model mapping relationships through modular interfaces, and synchronously initializing using an orbit predictor; real-time acquisition of one's own satellite maneuver parameters and delayed maneuver information during the adversarial process; and improved information interaction efficiency and security through a lightweight data transmission mechanism.

The present disclosure provides a data processing device, method, chip, board, electronic device and storage medium, wherein the device includes: a control unit and a register, wherein the control unit is used to respond to the arrival of the current data processing cycle and determine the first data block corresponding to the current data processing cycle according to the preset data block processing order; read the first data element corresponding to the newly added processing position in the first data block from the preset storage space and store it in the register; and read the second data element corresponding to the position overlapping with the first data block in the data block processed by the historical data processing cycle from the register. The embodiment of the present disclosure improves the data reuse rate, reduces the number and number of data reads, reduces the throughput rate in the data reading process, reduces the bandwidth pressure, and improves the efficiency of data processing by adjusting the processing order of the data blocks.

The invention relates to the technical field of wearable devices, and provides a wearable device, a control method thereof, a control device and a storage medium, and the method comprises the steps: obtaining a target image shot by the wearable device; extracting feature data of the target image based on a preset feature extraction algorithm; sending the feature data to a target device, so that the target device determines target data according to the feature data; and obtaining target data from the target equipment, and executing the preset task according to the target data. According to the method, the feature data with relatively small data volume extracted from the target image is sent to the target equipment, so that the bandwidth pressure of data transmission between the wearable equipment and the target equipment can be effectively reduced; the target device determines the target data according to the feature data, and the AI calculation capability can be placed on the target device or a server, so that the calculation power demand pressure of the wearable device is greatly reduced; the power consumption of the wearable device can be reduced, and the standby time of the wearable device can be prolonged.

This invention belongs to the field of mine safety monitoring technology, specifically involving an intelligent management system based on miners' positioning data processing. The system includes a wearable precision inertial measurement device, a multi-source data fusion gateway, an underground wireless transmission network, a biomechanical feature extraction server, a behavioral quality evaluation management platform, and a multi-dimensional early warning terminal. The wearable device collects high-frequency motion vector data of miners in real time, performs preliminary noise reduction using the gateway, and the server establishes a gait cycle segmentation model to accurately extract gait feature parameters such as stride length, ground contact time interval, and body center of gravity oscillation frequency. This invention realizes a shift from simple spatial location monitoring to in-depth monitoring of biological signals and behavioral quality, filling the monitoring blind spots caused by passive displacement and improving the proactiveness of mine risk early warning and the accuracy of safety supervision.

The present disclosure belongs to the field of product detection technology, and relates to a method and device for detecting product defects, a storage medium, and an electronic device. The method includes: obtaining edge-side resources and task requirement resources corresponding to the product to be detected, and performing resource matching calculations on the edge-side resources and the task requirement resources to obtain a resource matching value; obtaining a matching threshold corresponding to the resource matching value, and comparing the resource matching value with the matching threshold to obtain a matching comparison result; and performing defect detection on the product to be detected according to the matching comparison result. The present disclosure performs defect detection on the product to be detected by calculating the resource matching value, thereby improving the correlation between the production line and the edge side, and also improving the matching degree between the defect detection task volume and the edge resources, making rational use of various resources on the edge side, reducing network bandwidth pressure and network transmission damage, and improving the accuracy and real-time performance of defect detection.

The application relates to the technical field of fault diagnosis, in particular to a distributed industrial fault diagnosis system and method, which comprises edge terminals and edge servers arranged in various industrial components. The edge terminal is provided with a rapid diagnosis module, a high-level diagnosis module and a dual-mode trigger communication module. The dual-mode trigger communication module independently and in parallel controls uploading of deep feature data according to event triggering and periodic triggering conditions. The edge server is provided with a synchronous sampling module, a feature fusion module and a global diagnosis module, which are used for aligning and fusing multi-source heterogeneous data on a unified time axis, and performing system-level fault diagnosis. The application guarantees real-time response to sudden faults and continuous monitoring of system states through dual-mode triggering, realizes efficient resource utilization and accurate identification of cross-component implicit faults through a hierarchical collaborative architecture, and significantly improves the comprehensive performance of fault diagnosis of complex industrial systems.

The application provides a data incremental synchronization method and device and a terminal device. The method comprises the following steps: receiving a plurality of incremental logs sent by a source database; extracting table data involved in DML operations from the plurality of incremental logs, and generating compressed logs based on the table data, and sending the compressed logs to each target database; wherein the compressed logs are used to instruct the target database to send a first request when the target database determines that the compressed logs match a query request received by the target database, or to instruct the target database to send a second request after the target database receives the compressed logs for a preset time; receiving the first request or the second request sent by each target database, and sending corresponding incremental logs to the corresponding target database according to the received first request or second request. The application can improve the data synchronization efficiency.