35 results about "Bandwidth optimization" patented technology

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

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

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

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

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

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

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

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

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

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

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

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

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

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

The application discloses a method and system for improving neural network accelerator bandwidth optimization, and relates to the technical field of neural network accelerator, and the method comprises the following steps: performing convolution processing on input data through a convolution pipeline; performing activation function processing on the data processed through the convolution by using a single data processor; replacing traditional on-chip storage with an on-chip buffer for caching, and performing pooling processing and local response normalization processing on the data processed through the activation function by using a plane data processor and a channel data processor; and performing data format conversion on the data processed through the local response normalization by using a data reorganization engine. The application optimizes the data storage, reading and writing process of the accelerator during acceleration operation, effectively improves the utilization rate of the memory bandwidth, reduces the time consumed by single acceleration operation, and improves the performance of the accelerator.

This invention provides a multi-octave broadband six-digit digitally controlled phase shifter with an all-through balun structure, belonging to the field of digitally controlled phase shifter technology. By combining phase shifting units with different timings and employing a switch-based linear phase shifting structure combined with a balun, this invention effectively achieves high-precision broadband phase shifting control from small steps to large angles. The use of negatively coupled inductors expands the operating bandwidth, optimizes phase linearity and stability, and the interleaved arrangement of large and small phase shifting units further reduces signal reflection and improves standing wave performance. By utilizing two sets of symmetrical single-pole double-throw switches to achieve fast and stable switching between the ground state and the phase-shifted state, the balance of the signal path and impedance matching are ensured, significantly improving the insertion loss and switching speed of the phase shifter. This not only meets the complex requirements of multi-octave broadband operation but also improves the reliability and integration of the system.

The invention discloses a broadband photoelectric detector chip with a matching function, and belongs to the technical field of broadband semiconductor photoelectric detector chips. A node; the first radio frequency output port is electrically connected with the node; a second radio frequency output port; the cathode of the photodiode is electrically connected with the power supply port, and the anode of the photodiode is electrically connected with the node; the first end of the matched resistor is electrically connected with the node; the first end of the first inductor is electrically connected with the second end of the matching resistor, and the second end of the first inductor is electrically connected with the second radio frequency output port; the broadband photoelectric detector chip with the matching function adopts Layout layout, the matching resistor and the first inductor are symmetrically processed, the matching resistor is evolved into two resistors which are connected in parallel, and the first inductor is evolved into two inductors which are connected in parallel. According to the invention, the bandwidth is expanded, the in-band gain fluctuation and return loss are optimized, the chip-level matching integration level is high, the area is smaller, the consistency is good, and a peripheral matching network is simplified.

Facility (100), comprehensive: a memory interface circuit (130) configured to be coupled to a storage device (150) via an interface (140) having a command bus (144) clocked by a command clock signal (142), the storage device (150) comprising a plurality of banks; and a control circuit (120) coupled and configured with the memory interface circuit (130) to initiate a multi-bank memory operation by scheduling a sequence of bank-specific commands to be sent to the memory device (150) via the command bus (144), wherein the bank-specific commands for a given memory bank (152) include the following: a first activation instruction, followed by a second activation instruction two cycles of the instruction clock signal (142) later; and a read / write command that follows the second activation command by at least one minimum timing parameter specified for the storage device (150), wherein the read / write command specifies a type of operation to be performed; and where it is planned that every second read / write instruction during the multi-bank memory operation will be delayed beyond the minimum timing parameter, and where it is planned that remaining read / write instructions will not be delayed beyond the minimum timing parameter.

This invention provides a method and system for optimizing PCIe bandwidth in a transaction server. The method includes collecting memory access flows containing process identifiers, page addresses, access core identifiers, and timestamps; generating a heterogeneous latency topology mapping by combining latency data from the access core to the local DRAM node and the CXL region; matching functional weights with the current transaction stage and process identifier, and calculating a memory page urgency score by integrating access frequency, recent access timeliness, and access interval stability; constructing an association graph with pages as nodes and time window co-occurrence strength as edge weights; merging highly associated pages into atomic migration clusters and calculating a comprehensive urgency score; and dynamically determining a threshold based on the global score distribution and remaining DRAM capacity, deploying migration clusters exceeding the threshold to local DRAM nodes with lower weighted latency, and migrating the rest to the bandwidth-available CXL region, thereby optimizing PCIe bandwidth utilization.

The invention provides an inductor equalization type silicon-based traveling wave Mach-Zehnder modulator and a design method thereof, and relates to the technical field of photoelectron integration, the modulator introduces a micro-inductor structure connected in series with a PN junction into a traditional traveling wave electrode modulator to form a distributed RLC resonance unit, and the high-frequency response roll-off of a device is compensated by using the resonance peaking effect of the modulator, so that the performance of the device is improved. And the electro-optical bandwidth is improved. Preferably, a plurality of micro-inductor structures can be arranged along the traveling wave electrode in a segmented manner and are cascaded periodically, and each structure can be realized through different metal layers and is connected with the PN junction through a via hole. The design method of the modulator comprises the following steps of: accurately calculating a required inductance value and integrating the inductance value into layout design to realize bandwidth optimization. According to the scheme, on the premise that modulation efficiency is not remarkably sacrificed and optical loss is not increased, bandwidth limitation of a traditional silicon-based modulator is broken through, the scheme is compatible with a standard CMOS technology, and a key technical solution is provided for a next-generation high-speed optical communication system.

The invention belongs to the technical field of structural finite element data processing, and particularly relates to an iterative solution method and device for a finite element equation set of a whole machine structure. The method comprises the steps of obtaining a complete machine structure sparse positive definite stiffness matrix and a load vector applied to a complete machine structure, and constructing a complete machine structure finite element equation set used for representing the relation among the complete machine structure sparse positive definite stiffness matrix, the load vector and a displacement vector; performing degree-of-freedom elimination on the sparse positive definite stiffness matrix of the whole machine structure to obtain an independent degree-of-freedom matrix; performing bandwidth optimization sorting on the independent degree-of-freedom matrix to obtain a sorted stiffness matrix; processing the sorted stiffness matrix based on an algebraic multi-grid preprocessor to obtain a preprocessed sub-matrix; and calculating a displacement vector by adopting a conjugate gradient iteration method according to the pre-processing sub-matrix. According to the method, the problem that the sparse matrix of the aviation structure is not converged in iterative solution can be effectively solved, and the solution efficiency is remarkably improved while the calculation precision is ensured.

The invention discloses a boost circuit system bandwidth optimization method, which comprises the following steps: acquiring an input signal, and outputting an output signal after system signal processing; in the system signal processing process, the duty ratios of the system are detected, and the gain of a compensation loop is modulated under different duty ratios, so that the bandwidth of the system is adjusted; the step of modulating the compensation loop gain comprises the substeps that when it is detected that the duty ratio is gradually increased, the compensation loop gain is increased, so that the system ride-through frequency is improved, the system phase margin is reduced, and the system response speed is increased; and when it is detected that the duty ratio is gradually reduced, the compensation loop gain is reduced, so that the system ride-through frequency is reduced, the system phase margin is increased, and the system stability is improved. The invention further discloses the boost circuit system, and the bandwidth optimization method of the boost circuit system is adopted. The dynamic performance can be optimized while the stability of the system is ensured, and the bandwidth of the system is improved.

The invention discloses a switch transconductance type low-flicker noise down-conversion mixer circuit which comprises a switch stage, a transconductance stage and a radio frequency input matching network. The switch stage consists of a PMOS (P-channel Metal Oxide Semiconductor) tube and an NMOS (N-channel Metal Oxide Semiconductor) tube which are complementary, and periodically switches a conducting state under the driving of a differential local oscillator signal The transconductance stage adopts a cross coupling differential structure, and a transient coupling network is formed through a coupling capacitor and a bias resistor, so that drain-source direct current of a transconductance transistor is zero, and flicker noise is inhibited from the source; residual noise is symmetrically modulated to odd harmonics of the local frequency under the turning effect of the switch, and is far away from the intermediate frequency output frequency band; and the radio frequency input matching network realizes 50-ohm impedance matching and bandwidth optimization. While low power consumption is maintained, the flicker noise of the intermediate frequency output end is remarkably reduced, the flicker noise inflection point frequency can be reduced to below 10 Hz, and the method is suitable for a direct frequency conversion receiver architecture.

The invention relates to the technical field of software updating, in particular to an intelligent door lock overall online upgrading method and system.The intelligent door lock overall online upgrading method comprises the following steps that firmware and chip codes are obtained to construct an upgrading package and an abstract value, task increment difference is compared to allocate a transmission bandwidth block, the upgrading package is issued, and an attenuation rate parameter is calculated based on the time migration rate and a write-in delay difference value; adjusting the upper limit of packet sending interval and retransmission times, decrypting and verifying firmware, distributing decrypted data through an interface, writing the decrypted data into a non-running partition to verify integrity, and generating an upgrade audit log. According to the method, bandwidth optimization scheduling is allocated according to task increment difference, an attenuation rate is calculated by utilizing an offset rate and a delay difference, a packet sending interval is flexibly adjusted to adapt to a real-time network, data security is ensured by combining algorithm decryption and abstract value verification, target interface accurate distribution is identified based on codes, and firmware is written into a non-running partition to realize non-inductive upgrading. The collaborative updating efficiency is improved by summarizing data to generate logs.

The invention discloses a viewport preloading method, system and equipment based on panoramic video saliency prediction, and belongs to the technical field of panoramic video processing and transmission. The method comprises the following steps: acquiring an original panoramic video stream; performing saliency prediction on the continuous panoramic video frames to obtain a saliency map corresponding to each frame; dynamically determining the size of a viewport based on the information entropy of the saliency map, and obtaining a viewport area of each panoramic video frame through boundary expansion, axial projection and smoothing processing; an original panoramic video stream is divided into a viewport inner area and a viewport outer area according to a viewport area, and code streams with different qualities and preloading strategies are adaptively distributed. According to the invention, by introducing a saliency-driven preloading mechanism, more accurate viewport prediction and bandwidth optimization are realized, and the playing fluency of the panoramic video and the user experience are improved.

The invention provides a broadband output circuit for a W-band klystron and a bandwidth optimization method. The broadband output circuit comprises an output resonant cavity, an output waveguide and a filter arranged between the output resonant cavity and the output waveguide. The filter comprises at least one cylindrical waveguide section; the cylindrical waveguide section is used for expanding the output bandwidth of the W-band klystron. Through the output circuit, the W-band klystron can realize obvious bandwidth expansion.

The application discloses a kind of coordinated path chain green wave bandwidth multi-wheel optimization method, this method includes: determining the coordinated phase and its green light start-stop time point of each coordinated path chain through intersection;According to the number of coordinated path included in each coordinated path chain, determine the maximum number of green wave bandwidth optimization rounds of each coordinated path chain and each round coordinated path set, determine the maximum number of green wave bandwidth optimization rounds of control area;For each round coordinated path set, calculate the upper shift allowance, the lower shift allowance of each intersection phase difference in each round, determine the intersection phase difference adjustment object and adjustment amount;Output the final result of the phase difference adjustment amount of each intersection.The application comprehensively analyzes the upper shift allowance and the lower shift allowance of the phase difference of each signal intersection, and on the basis of ensuring that the whole green wave bandwidth does not change, a multi-round optimization method for green wave bandwidth of each level coordinated path chain is proposed, which can simultaneously optimize multiple coordinated path chains in the control area.

The present disclosure provides a signal control information generation method, a control method, an apparatus and a storage medium, relates to the field of artificial intelligence, in particular to the field of intelligent transportation technology, the field of smart city technology and the field of big data technology. The specific implementation scheme is: obtaining a traffic signal cycle related to traffic network information, the traffic network information including a plurality of paths and initial path signal control information related to each of the plurality of paths; processing the traffic signal cycle and the initial path signal control information based on a path green wave bandwidth optimization function and a path green wave bandwidth optimization condition set to obtain a target network green wave bandwidth, the path green wave bandwidth optimization condition set including a path ring phase difference constraint condition, the path ring being a ring topology structure formed by at least one path in the traffic network information; and determining target signal control information related to the traffic network information according to the target network green wave bandwidth.

The invention discloses an energy storage power station FFR control method based on scheduling data network bandwidth optimization distribution. The method comprises the following steps: acquiring uplink / downlink utilization bandwidth, communication delay, data packet loss rate and corresponding weight of a scheduling data network; when the state of charge (SOC) of the battery of the energy storage power station is met, performing dynamic evaluation based on the uplink / downlink utilization bandwidth, the communication delay, the data packet loss rate and the corresponding weight, and determining a dynamic threshold value of the network bandwidth health degree; obtaining the frequency deviation of the energy storage power station and the power grid connection point PCC; obtaining an upper limit threshold and a lower limit threshold of the network bandwidth health degree index of the scheduling data network; adjusting a dynamic threshold value of the network bandwidth health degree based on the frequency deviation and an upper threshold value and a lower threshold value of the network bandwidth health degree index; and determining an operation mode and a corresponding active output reference value of the energy storage power station based on the adjusted dynamic threshold value of the network bandwidth health degree, so as to carry out fast frequency response control on the energy storage power station based on the active output reference value.

The invention provides a cloud side end collaborative unmanned aerial vehicle cluster intelligent sensing and decision-making system, and relates to the technical field of unmanned aerial vehicle control. According to the system, an unmanned aerial vehicle end side subsystem collects real-time video frames, optical flow field data and flight speed data through a space-time cognition difference degree quantization unit and calculates a space-time cognition difference index. And the communication throttling control unit monitors the space-time cognition difference index, executes a video stream bandwidth transfer strategy of the priority guarantee signaling channel, and extracts a peak value region of the space-time cognition difference index to generate a semantic fingerprint vector. And the edge collaboration subsystem retrieves the matched lightweight model increment parameter packet and issues the lightweight model increment parameter packet. And the unmanned aerial vehicle end side subsystem loads the parameter packet and takes over the reasoning task so as to reduce the space-time cognitive difference index of the subsequent frame. According to the method, the conflict problem of cognitive failure and communication congestion of the unmanned aerial vehicle in a weak network high-dynamic environment is solved, and reverse bandwidth optimization and continuous maintenance of a cognitive steady state are realized.