68results about How to "Improve bandwidth utilization" patented technology

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

The invention discloses a communication transmission control cabinet based on big data, and relates to the technical field of communication transmission, and the control cabinet comprises the steps: introducing a real-time network state perception and prediction module, collecting the data of a link through an embedded sensor, carrying out the prediction through combining with an LSTM time sequence model, carrying out the estimation of a future link state, introducing a multipath transmission mechanism, and carrying out the real-time network state perception and prediction. When tasks are distributed, bandwidth, delay and load conditions of paths are synthesized, batch uploading is performed through caching and compression strategies of edge computing nodes, occupation of links is effectively reduced, when link performance is reduced, a path switching mechanism can select alternative paths with optimal performance in real time, influences of link interruption on communication tasks are avoided, and meanwhile, the communication efficiency is improved. According to the high-real-time task priority strategy, an optimal path is adopted, delay of key tasks is reduced, non-real-time tasks are compressed and processed in batches at edge nodes, resources are not competed with real-time tasks, interference is avoided, and the requirements for ship navigation and real-time monitoring tasks are met.

The invention discloses a tunnel crack detection method and a tunnel crack detection system, and belongs to the field of tunnel safety detection.The tunnel crack detection method comprises the steps that a tunnel inspection robot is utilized to conduct inspection in a tunnel to obtain complete three-dimensional data in the tunnel so as to construct a three-dimensional map in the tunnel, and the position of each crack area in the three-dimensional map is determined; determining an inspection tour area corresponding to each crack area and executing path planning, and generating an optimal inspection tour path of the unmanned aerial vehicle; the optimal inspection path enables the unmanned aerial vehicle to sequentially pass through each inspection area and then leave the tunnel after entering the tunnel under the condition that obstacle avoidance conditions are met, and the total time is shortest; enabling the unmanned aerial vehicle to move according to the optimal inspection path, and scanning the crack region by using the depth camera when the unmanned aerial vehicle moves to one inspection region so as to obtain fine three-dimensional data of the crack region; and performing analysis processing on the fine three-dimensional data of the crack area to complete tunnel crack detection. According to the invention, the efficiency and precision of long tunnel crack detection can be improved.

The invention relates to the technical field of computers, and discloses a host firewall software strategy collection and analysis method. The method comprises the steps of S1, deploying acquisition agents in a distributed manner, and acquiring policy data of a host firewall; s2, carrying out standardized analysis and storage on the collected data; s3, uploading the standardized strategy data to a central management node through an incremental synchronization mechanism; s4, constructing a rule dependency graph based on the rule data at the central management node; and S5, performing conflict detection and redundancy analysis on the host firewall rule by using the rule dependency graph. Priority conflict, coverage conflict and mutual exclusion conflict detection is performed on the rule set through the rule dependency graph, the priority conflict detection ensures the execution logic consistency of the rule, the coverage conflict detection reduces the redundant execution of the rule, and the mutual exclusion conflict detection avoids the rule combination of logic contradictions. And through systematic conflict detection, the execution accuracy and reliability of the rule set are remarkably improved.

The invention relates to the technical field of internet of things equipment power consumption optimization methods, in particular to an internet of things equipment power consumption self-adaptive optimization method and system based on edge computing, and the method comprises the following steps: firstly, collecting historical operation data of different edge computing equipment, including but not limited to resource utilization rate, power consumption and network bandwidth; then, learning the historical operation data by using an improved multi-target deep reinforcement learning algorithm to obtain an equipment model; thirdly, predicting the optimal power value of the equipment through the equipment model; then, comparing the optimal power value with the actual operation power value of the current equipment, and when the optimal power value is inconsistent with the actual operation power value, sending an optimization instruction to the edge computing equipment; and finally, adjusting the parameter value of the edge computing device according to the optimization instruction to realize self-adaptive optimization of the power consumption of the device, so that the power consumption can be obviously reduced under various load conditions, and the task completion rate and the system response speed can be improved at the same time.

The invention discloses a network flow directional transmission optimization method, and relates to the technical field of data transmission. Comprising the following steps: establishing a regional priority model based on regional distribution, dynamically adjusting a network link, deploying multi-level cache nodes, determining isolation and multiplexing rules of data traffic, coordinating network resource allocation, establishing a feedback mechanism, and constructing an energy-aware transmission scheduling strategy. According to the network traffic directional transmission optimization method, the flexibility and the accuracy of network traffic scheduling are remarkably improved by setting the combination of a regional priority model and a dynamic link reconstruction mechanism, the transmission efficiency of key service traffic can be guaranteed preferentially, and the network traffic directional transmission optimization method can be used for optimizing the network traffic through real-time link optimization and load prediction. And performance reduction caused by network congestion is avoided. And meanwhile, the low-priority flow is effectively managed, and the reasonable distribution of global network resources is realized. In practical application, the method can greatly reduce the network delay, improve the bandwidth utilization rate and improve the user experience.

The invention relates to the technical field of power line communication, in particular to a distributed power line communication data management system based on a block chain, in the invention, through innovative application of a convolutional neural network in an error repair module, accurate coding correction and rapid repair of error bits are realized, the integrity and effectiveness of data transmission are ensured, and the data transmission efficiency is improved. The method provides higher accuracy and adaptive capacity when reading and repairing bit streams bit by bit, deals with various error types in a complex communication environment, efficiently repairs error data packets in communication, and dynamically monitors and analyzes the signal-to-noise ratio and the error rate of a channel through the use of a finite-state machine, so that the error rate of the channel is effectively reduced, and the error rate of the channel is effectively reduced. The transmission strategy is adjusted in time when the channel state changes, so that the communication process is kept stable and efficient, the efficient transmission strategy is automatically generated according to the change of the channel state, the waste of channel resources is reduced, the bandwidth utilization rate is improved, and the data transmission failure caused by the unstable channel is avoided.

The invention provides a quantum key routing path determination method and device, electronic equipment and a medium, and the method comprises the steps: carrying out the initialization of an initial spider bee population based on a network topology structure, carrying out the iteration of each initial spider bee based on the network topology structure through employing a spider bee optimization algorithm, obtaining iteration spider bees, and carrying out the calculation of the iteration spider bees. According to the service quality parameter of the random QKD node group corresponding to each initial spider bee, calculating the service quality parameter of each initial spider bee, and according to the service quality parameter of the iteration QKD node group corresponding to the iteration spider bee, calculating the service quality parameter of the iteration spider bee; and determining an optimal spider bee according to the service quality parameter of each initial spider bee and the service quality parameter of the iteration spider bee, and generating a quantum key routing path for key negotiation according to the target QKD node group corresponding to the optimal spider bee. The bandwidth utilization rate and the performance of the quantum key distribution network are improved, and the communication security and the service quality are ensured.

The invention belongs to the related technical field of integrated circuit design, and particularly relates to a method for loading data required by an accelerator operation processing unit of a convolutional neural network, which comprises the following steps of: controlling a cache sequence of weight data and feature map data through a state machine, when controlling the cache of the feature map data, firstly performing input feature map format conversion, the method comprises the following steps: performing sub-segment division on external channel-by-channel input feature map data with the bit width of A bit, storing the external channel-by-channel input feature map data with the bit width of A bit in a grouping dislocation storage mode, and converting the stored feature map data into N paths of parallel data with the bit width of B bit (B = A / N) in a special reading mode, the B * N data flow can complete feature map data loading of N storage units at the same time, the problem that the off-chip data access bit width is not matched with the data bit width needed in the operation processing unit is solved, and the bandwidth utilization rate of the convolutional neural network accelerator is improved.

The invention provides a data forwarding method based on a vehicle-mounted passive optical network and a related device, and relates to the technical field of vehicle communication. In the data forwarding method, the first ONU gateway aggregates and packages the received multiple frames of messages into the same uplink GEM frame, so that the multiple frames of messages share the same GEM frame header, the frame header overhead in the low-speed data transmission process is effectively reduced, and the bandwidth utilization rate of the vehicle-mounted PON network is improved. Meanwhile, message grouping, uplink GEM frame packaging and uplink burst frame coding are directly completed through the first ONU gateway, the uplink burst frame is sent to the OLT, time delay and system resource consumption are reduced, the high real-time requirement of low-speed data (such as a sensor and a control signaling) in a vehicle-mounted scene is met, and therefore efficient and low-delay bearing of the low-speed data on a vehicle-mounted PON network is achieved.

This invention relates to the field of Internet of Things (IoT) technology, providing a large-scale IoT system, method, and medium for remote firmware updates of sensors. The system includes a sensor management platform configured to: determine multiple sensor update groups based on data characteristics of multiple sensors and their geographical locations within an industrial grid area; determine the update priority of each sensor update group based on its task and transmission characteristics; determine update parameters for the multiple sensor update groups based on update priority, firmware characteristics, and channel state distribution; and generate update instructions and firmware update packages based on the update parameters, and control multiple sensors in the multiple sensor update groups to perform firmware updates. The method can be executed after being read from computer instructions stored on a computer-readable storage medium. This invention enables secure, reliable, and continuous large-scale sensor firmware upgrades under complex industrial network conditions.

The invention relates to the technical field of computer cluster communication, in particular to a set communication method suitable for a core particle equipment cluster with unified bus interconnection, which comprises the following steps of: acquiring hierarchical topology and link information of the core particle equipment cluster, and constructing a global topology information base according to the acquired hierarchical topology and link information; optimizing the core size level primitive, the node level primitive and the super node level primitive; a link monitoring unit is deployed to monitor a link state index in real time, an alarm is triggered when a link fault is detected, an optimal backup link is screened based on a global topology information base, a communication path is updated, and a dynamic resource scheduling algorithm is adopted to allocate computing power and communication resources; and dynamically adjusting a communication path and bandwidth allocation according to a set communication task requirement and a link dynamic parameter. The method is suitable for a three-level link architecture of a core particle equipment cluster, can improve the communication efficiency and the bandwidth utilization rate, enhances the cluster reliability and the resource utilization rate, and effectively meets the requirements of high computing power and high communication intensity of large model training.

The invention provides a power distribution network resource scheduling method and system based on computing power network integration, and belongs to the technical field of data processing and resource scheduling, and the method comprises the steps: obtaining a plurality of communication signals and a plurality of corresponding service requests, and packaging the communication signals and the service requests into a plurality of standardized data; corresponding response tasks are generated according to the service requests, and task resource requirements of the response tasks are determined; performing resource scheduling on each response task according to each task resource demand and a preset resource scheduling model, and determining resource configuration of each response task; according to each resource configuration, scheduling and allocating a plurality of virtual resources to each response task from a preset resource pool; and according to each response task and a plurality of corresponding virtual resource units, carrying out data processing on each piece of standardized data, so that by implementing the method and the device, the problems of relatively low utilization rate of power distribution network resources and inflexible scheduling in the prior art can be solved.

The application relates to a method and system for realizing 90-degree integer multiple rotation of an image, wherein the method comprises the following steps: an FPGA receives original image data output by an image sensor and image processing parameters issued by an ARM, the image processing parameters at least including width, height and a rotation angle, wherein the rotation angle is an integer multiple of 90 degrees; the original image data is preprocessed and demosaiced to obtain a full-color image in RGB or YUV format; according to the width, height and rotation angle of the image, a coordinate transformation formula for 90-degree integer multiple rotation is used to determine the position mapping relationship between each source pixel in the full-color image and a target pixel after rotation; the full-color image is written into a BRAM cache in a ping-pong mode, and each pixel is read according to the order of the position mapping relationship and written into a target address in a DDR, wherein the target address in the DDR is calculated according to the position relationship.

The application discloses a composite data transmission method and related device, and relates to the technical field of computers, and the method comprises the following steps: if it is judged that the data transmission from a device end to a host end is one-way transmission, the device end collects original audio and video data, carries out algorithm processing and classification; the original audio and video data is encapsulated and transmitted to the host end, the first composite data is received, and the first composite data is analyzed; the first analysis data is written into a target virtual drive, the first analysis data is integrated, a target instruction is generated, and the target instruction is transmitted to the device end; if it is judged that the data transmission is not one-way transmission, the host end packs the original audio and video data, transmits the second composite data to a computing box; the second composite data is analyzed, the second analysis data is processed by calling an algorithm library, the second analysis data is packed, and the second analysis data is returned to the host end; the packed data is analyzed, and the packed data is transmitted to a target application. The application provides high-quality original audio and video data transmission.

The present invention provides a time slot variable protocol communication method and device based on a half-duplex communication mode, belonging to the field of wireless communication technology. The method comprises: establishing a communication connection between a master device and a slave device; in the communication process between the master device and the slave device, the master device controls and adjusts the time slot ratio of the two-way communication in real time according to the amount of data to be sent fed back by the slave device; wherein the communication transceiver cycle of the two-way communication comprises: the master device sending time slot, the first protection interval time slot, the slave device sending time slot and the second protection interval time slot. Since the master device can feed back the amount of data to be sent from the slave device, the time slot ratio can be adjusted in real time, thereby adjusting the bandwidth of the two-way communication, thereby effectively improving the bandwidth utilization and the communication efficiency.

This invention relates to the field of real-time control technology for industrial automation using multi-node networks. Existing technologies employ a centralized software model, where the control and operation of the lower-level machine highly depend on the upper-level machine, making it difficult to simultaneously achieve synchronization, stability, and high efficiency. This invention provides a multi-node distributed collaborative control method and system based on timestamp hardware interrupts. For high-speed multi-system collaborative control and multi-node network collaborative operations, the upper-level machine pre-issues multi-cycle collaborative task sequences via an industrial communication network. These sequences are stored in the lower-level machine's local instruction buffer. During operation, the bus communication frequency is reduced, bandwidth utilization is improved, and the risk of lower-level machine operation being affected by a single point of failure in the upper-level machine is reduced. This invention balances synchronization accuracy, stability, and high efficiency, and is suitable for high-speed continuous operation scenarios with a large number of nodes and stringent synchronization requirements, such as multi-robotic arm collaboration, high-speed production lines, precision CNC, and laser processing. It has strong versatility and engineering applicability.

The application provides a near-memory DMA data transposition controller, a data transposition method, a medium and a product. The near-memory DMA data transposition controller is arranged on a data transmission path between a far-end memory and a near-end memory of an AI computing chip, and comprises a first DMA control module and a second DMA control module. The transposition operation only occurs after data is read from the near-end memory, thereby reducing independent transposition processing links, reducing transposition power consumption overhead and operation delay, avoiding a decrease in bus bandwidth utilization caused by transposition, and reducing hardware resource overhead. A dynamic splitting strategy concentrates non-aligned access in a first data block, thereby improving overall bandwidth utilization. The transposition operation is separated from a computing unit, the transposition is completed synchronously in a data carrying process, computing resources are released, and an operation period and power consumption overhead are reduced.

The utility model relates to a communication analog-to-digital hybrid bridge, which comprises a radio frequency front end, an ADC / DAC conversion module, a DSP module and a protocol conversion module, the protocol conversion module is provided with a multi-protocol interface, and the multi-protocol interface is connected with the ADC / DAC conversion module through a dual-channel JESD204B interface; and the protocol conversion module is connected with the DSP module through a SerDes deserializer. According to the utility model, the bandwidth and delay bottleneck of the traditional discrete chipset is broken through, the five-mode signal synchronous processing is supported, the end-to-end delay is less than or equal to 8 microseconds, and the five-mode signal synchronous processing circuit is suitable for a high-density radio frequency front end and an industrial real-time control system.

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.

This disclosure provides an interface protocol converter and an electronic device, relating to the field of digital integrated circuits. The interface protocol converter includes: a read conversion module configured to convert the interface protocol of the read channel of an Advanced Scalable Interface (ASPI) into the interface protocol of a Static Random Access Memory (SRAM); the read conversion module includes: a read address FIFO memory; a read request expansion unit; a read identity FIFO memory; and a read data control FIFO memory; and a write conversion module configured to convert the interface protocol of the write channel of an ASPI into the interface protocol of a SRAM. By optimizing the data path structure, deep optimization of the SRAM interface characteristics is achieved, which can significantly reduce conversion latency and hardware resource consumption, while achieving higher bandwidth utilization and energy efficiency.

The invention discloses a bandwidth management method and device based on a multi-wave WDM-PON system, equipment and a medium, and relates to the technical field of optical communication. The method is applied to an optical line terminal OLT in a multi-wave WDM-PON system, the single-port MAC bandwidth of the OLT is divided into a plurality of bandwidth time slots SLOTs, and the method comprises the following steps: distributing each SLOT to a plurality of supported wavelength channels; and when valid data are written into the SLOT, performing time slot allocation on the SLOT based on the valid data. By implementing the technical scheme provided by the invention, the overall bandwidth utilization rate of the multi-wave WDM-PON system can be improved, and the system can utilize available bandwidth resources more efficiently, so that the problem of low utilization rate caused by unbalanced bandwidth resource allocation in the prior art is solved.

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.

The present invention relates to the field of information transmission technology, and in particular to a wireless data transmission system based on 5G communication and a method thereof. The method comprises the following steps: obtaining 5G communication data of an industrial park and performing communication demand analysis of a unit in the park to obtain communication demand data of the unit in the industrial park; performing virtual slice priority reallocation according to the communication demand data of the unit in the industrial park to obtain optimized virtual slice priority data; performing dynamic resource sharing strategy analysis according to the optimized virtual slice priority data to obtain a dynamic sharing strategy of communication resources in the industrial park; obtaining real-time 5G communication data of the industrial park and performing unit communication transmission latency evaluation to obtain unit communication transmission latency data; performing dynamic sharing timing optimization on the dynamic sharing strategy of communication resources in the industrial park based on the unit communication transmission latency data to obtain an optimized dynamic sharing strategy of communication resources in the industrial park. The present invention can improve the bandwidth utilization of the network.

The present invention discloses a credit value optimization method for a credit-based shaper in a time-sensitive network, which belongs to the field of communications and includes the following steps: real-time monitoring of time-sensitive network links to obtain link load, frame waiting time and traffic priority information; if the link load reaches a preset threshold, dynamically adjusting the recovery rate of the CBS credit value, and accelerating the recovery of the credit value by adjusting the idleSlope; using a heuristic algorithm, combining the dynamic changes of the link load and the frame waiting time, and adaptively optimizing the idleSlope; performing priority management on the AVB stream to ensure that high-priority traffic is transmitted first, and reducing the waiting time of the AVB stream by accelerating the recovery of the credit value. The present invention introduces parameters such as frame waiting time on the basis of logical bandwidth allocation, and the new credit value recovery mechanism significantly reduces the AVB stream transmission delay and increases bandwidth utilization.

The deep learning-based video multi-level adaptive compression cross-layer transmission optimization method and system of the application relates to the technical field of video transmission. By designing a compression level selection model based on deep learning, the optimal compression level is output based on the original video data and network environment parameters, and the corresponding compression strategy of the optimal compression level is obtained. A transmission strategy selection model is designed to generate a transmission strategy based on video quality parameters and network environment parameters. A global utility function is defined to calculate the global utility value when the compression strategy and the transmission strategy are assumed to be executed. An optimization objective function is designed, which inputs the compression strategy and the transmission strategy and outputs the optimized compression strategy and the transmission strategy. A condition judgment logic is set to select the final strategy based on the compression strategy and the transmission strategy before and after optimization, thereby achieving global optimization of video compression and transmission.

This disclosure relates to an image acquisition method, apparatus, computer device, storage medium, and computer program product. The method includes: acquiring an initial image frame and acquiring accumulated image frames from a buffer; merging the initial image frame into the accumulated image frames to obtain a first-updated accumulated image frame, and storing the first-updated accumulated image frame in the buffer; if the difference between the number of image frames corresponding to the first-updated accumulated image frame and the target number of frames is within a preset range, determining the average pixel value of corresponding pixels in multiple image frames of the first-updated accumulated image frame as the pixel value of a second-updated accumulated image frame, storing the second-updated accumulated image frame in the buffer, and repeating the update process until the number of updates meets a preset condition to obtain the acquired image. This method is applicable to image acquisition at high throughput rates, ensuring testing efficiency.

The invention provides a processor and electronic equipment, the processor comprises a giant bandwidth memory, a memory controller, a copy engine and an on-chip memory, the giant bandwidth memory is directly connected to the copy engine through the memory controller, the copy engine is connected with the on-chip memory, and the on-chip memory is connected with the memory controller. The transmission bandwidth of the giant bandwidth memory is matched with the transmission bandwidth of the copy engine, so that the processor and the electronic equipment can shorten the data transmission path and improve the bandwidth utilization rate by optimizing the processor architecture.

The present invention discloses a time-sensitive network switching system based on flexible guard bands, belonging to the technical field of industrial Internet, the system comprises: an input module, a data scheduling module, a data cache module, a guard band setting module and an output module; wherein, data frames are input into the system by the input module; the data cache module is used to store the data frames; the data scheduling module is used to schedule the information elements corresponding to the data frames, and during the scheduling process, the guard band setting module is used to select whether to set the guard band and the set guard band length according to the length of the data to be transmitted and different scheduling strategies, and complete the guard band setting; after completing the scheduling of the information elements and the setting of the guard band, the output module outputs the corresponding data frames. The present invention can effectively improve the utilization rate of bandwidth, reduce the transmission delay of data streams, and improve the data scheduling efficiency and the utilization rate of cache resources.

The embodiments of the present application provide a congestion control method, device, electronic device and storage medium, the method comprising: when the preset collection period is reached, obtaining the network status data of the current collection period as the first network status data; based on the first network status data, calculating the reward value of the current collection period as the first reward value; inputting the first network status data and the first reward value into a pre-trained adjustment strategy prediction network model to obtain a target adjustment strategy; adjusting the current congestion window according to the target adjustment strategy. For different network environments, there is no need to distinguish whether the congestion signal is caused by network congestion, and the reward value can be calculated based on the first network status data, thereby achieving the adjustment of the congestion window. Therefore, the congestion control method of the present application can be applied to complex network environments and can improve the effectiveness of congestion control.