541 results about "Transmission quality" patented technology

The invention relates to the technical field of wireless high-definition audio and video transmission, and discloses a plug-and-play wireless high-definition audio and video transmission method and system.The method comprises the steps that foreground space texture features and audio and voice segments are obtained, and an initial feature set containing space and semantic features is obtained through semantic correlation analysis; a unified representation vector is output through multi-modal feature fusion, and a dynamic importance score is obtained by determining time sequence consistency, calculating an importance weight and performing normalization; and when the score exceeds a threshold value, segmenting the video frame in real time to determine an attention focus area and optimize a boundary, thereby generating an attention weight matrix, preferentially allocating bandwidth and forming a partition differentiation compression result. And in combination with a network bandwidth state, protection is enhanced for a key stream, the priority and the bit rate are dynamically adjusted, and high-quality audios and videos are output through decoding and recombination. According to the invention, the bandwidth allocation and compression strategy can be dynamically optimized, the transmission quality of a key area is guaranteed when the bandwidth fluctuates, and the audio and video transmission efficiency and experience are improved.

The invention provides a dynamic wavelength allocation method based on DCI wavelength division II type equipment. The method comprises the following steps: acquiring an occupation state and a transmission quality index of each wavelength channel of a current network; establishing a wavelength channel quality evaluation model, and scoring each wavelength channel according to the transmission quality index of each wavelength channel of the network; according to the bandwidth requirement, the priority and the QoS requirement of the service request, generating a traffic characteristic matrix containing the delay sensitivity and the bandwidth requirement through a traffic prediction algorithm; based on a network state and the traffic characteristic matrix, through resource availability calculation and path quality evaluation, forming an allocable wavelength resource pool and a quality score thereof; for the allocatable wavelength resource pool, generating an optimal wavelength allocation scheme by adopting an improved heuristic algorithm and comprehensively considering the resource utilization rate, the signal quality and the service priority; and according to the performance feedback of the optimal wavelength allocation result and the network state change, continuous optimization of wavelength allocation is realized through a self-adaptive adjustment mechanism. The method can effectively deal with the dynamic flow change in the DCI network, improve the resource utilization rate, ensure the signal quality and meet the QoS requirement of the service, thereby providing an efficient and reliable wavelength allocation solution for the data center interconnection network.

The invention relates to the technical field of satellite communication data transmission, and discloses a satellite communication data transmission system of Internet of Things equipment. The environmental parameter acquisition module of the system is responsible for comprehensively acquiring various environmental parameters of the Internet of Things equipment in satellite communication and providing basic data for subsequent analysis. The learning model construction module establishes a data transmission prediction model by using the parameter data. And the transmission quality prediction module estimates the transmission quality of the satellite channel by means of the model. And the data behavior simulation module simulates the dynamic behavior of the data packet in the channel according to the transmission quality estimation result. And the communication scheme optimization module generates a final transmission strategy according to the simulation result and a preset communication target. Through close cooperation of the modules, the system achieves accurate prediction of satellite channel transmission quality, effective simulation of data packet behaviors and optimization of a communication scheme, and plays an important role in data transmission of the Internet of Things.

The invention provides a remote control method and device for intelligent multimedia interaction equipment, equipment and a medium, which are used for improving the real-time performance and the execution success rate of remote control and enabling complex multimedia interaction to be reliably operated on a heterogeneous network and heterogeneous equipment. The method comprises the following steps: carrying out hierarchical analysis processing on interaction data input by a user to generate perception command data, and carrying out execution planning and resource allocation on the perception command data according to equipment performance characteristics to generate an executable operation sequence, and performing transmission quality evaluation and path selection on the propagation path network according to the executable operation sequence to obtain a target transmission path, and performing protocol encapsulation on the executable operation sequence according to the target transmission path to obtain a remote control instruction data stream.

The invention relates to the technical field of Bluetooth earphones, and discloses a Bluetooth earphone dynamic power consumption and transmission delay balance control system, which comprises a state acquisition module, a strategy generation module, a factor analysis module, a quantitative evaluation module, a parameter adjustment module and an execution control module. The state acquisition module obtains working current, data packet state and the like to construct an evaluation model; the strategy generation module generates an initial association strategy table; the factor analysis module analyzes historical data to identify interference factors; the quantitative evaluation module calculates a stability deviation index; the parameter adjusting module updates the strategy table according to the index; and the execution control module triggers rate switching. The system is further provided with a data packet comparison unit, a timestamp marking unit and the like to process data transmission conflicts, and the transmission quality is optimized through a three-dimensional transmission quality field model, a genetic algorithm and a three-level response mechanism. The system realizes dynamic balance of power consumption and transmission delay, and is suitable for the field of power consumption and transmission control of the Bluetooth headset.

The invention discloses a secure cloud workstation and a resource scheduling method suitable for a high-altitude weak network environment, and the secure cloud workstation comprises a virtualization management platform which is used for carrying out the virtualization processing of core computing components of a plurality of servers contained in a back-end server cluster, and forms a plurality of virtual hosts; the front-end thin client only reserves display and input functions, establishes connection with the virtualization management platform, receives a virtual host human-computer interface pushed by any virtual host in the virtualization computing resource pool, and feeds back a user operation instruction to the virtualization management platform; the transmission protocol optimization module is used for integrating graph, input and audio data transmission channels, monitoring the network bandwidth and the delay state of a high-altitude area in real time by adopting a self-adaptive compression algorithm, and dynamically adjusting the transmission image quality and the frame rate of a virtual host human-computer interface; and the resource scheduling module is used for automatically allocating computing resources to the plurality of virtual hosts based on the load data of the virtualization management platform so as to realize cross-server load balancing.

The invention discloses an in-vehicle network active bandwidth reservation type burst flow containing method. The method comprises the steps that 1, the injection time of ST flow to an in-vehicle network is calculated, and a gating list is configured; 2, residual bandwidth resources, RC flow available bandwidth and bandwidth reservation of any link are calculated; 3, calculating an injection time slot of RC to the vehicle-mounted network and configuring a gating list; 4, calculating the injection time of burst flow to the vehicle-mounted network and configuring a gating list; 5, the wakeup bandwidth amount of any link of the vehicle-mounted network is calculated; and 7, recalculating the injection time slot of the RC flow influenced by the burst flow to the vehicle-mounted network, and configuring a gating list. According to the method, the bandwidth is actively reserved when the ST flow and the RC flow are scheduled and registered, and the conflict flow is accommodated on the premise that the real-time transmission quality of the registered flow is not influenced, so that the real-time transmission quality requirement of the registered flow and the ultra-low delay requirement of burst flow transmission are ensured, and an intelligent driving system is enabled to operate normally so as to improve the driving safety and reliability of a vehicle.

The invention provides an inter-channel crosstalk suppression method in a multi-channel optical module, which aims at the problems of inter-channel interference and signal overlapping caused by wavelength shift in the multi-channel optical module, calculates the wavelength shift by adopting a proportional integral differential control method through collecting the reading of a temperature sensor and the output wavelength data of a laser device in real time, and finally suppresses the crosstalk in the multi-channel optical module. The threshold value is dynamically adjusted in combination with the environment temperature change, and the interference risk index is quantified; the wavelength drift trend is extracted through time sequence analysis, the channel interval adjustment logic is optimized, the filter bank is dynamically configured to improve the signal purity, meanwhile, the wavelength parameter is corrected through the offset compensation value, and the stability is ensured. If the transmission quality requirement is met, configuration parameters are locked, a correction model is matched and optimized through historical data, potential risks are predicted in combination with state estimation filtering, and the logic adaptability is enhanced and adjusted. According to the invention, efficient correction of wavelength drift and interference minimization are finally realized, and the transmission quality and operation stability of the multi-channel optical module are improved.

The invention provides an optical network transmission quality prediction method based on multi-scale decomposition heterogeneous fusion, and relates to the technical field of optical communication network intelligent monitoring, and the method comprises the steps: taking an STL seasonal component, a first group of intrinsic mode functions and a second group of intrinsic mode functions of original QoT time series data as homologous input data, inputting the homologous input data into a heterogeneous fusion prediction model, and carrying out the prediction of the transmission quality of an optical network; after a TCN branch and an Informer branch extract a local feature tensor and a global feature tensor in parallel, tensor splicing is executed through a feature splicing layer, a fusion feature tensor is output, and a full-connection regression layer executes weighted mapping processing on the fusion feature tensor and outputs a transmission quality predicted value. The technical problems that an existing QoT prediction method is high in calculation complexity and difficult in long-range dependence modeling are solved. Local details and global semantic features are fused through a parallel structure, and feature distillation and residual connection optimization are combined, so that the accuracy and calculation efficiency of QoT prediction are remarkably improved.

The invention relates to the technical field of Internet of Things communication, and particularly discloses an Internet of Things communication equipment data transmission packet loss compensation optimization method and system, and the method comprises the steps: obtaining a data packet transmission sequence, and obtaining the receiving state identifiers and transmission timestamps of a plurality of data packets according to the data packet transmission sequence; and acquiring network transmission quality parameters, and acquiring a received signal strength value sequence, a network jitter value sequence and a data packet delay fluctuation value sequence in a continuous time window according to the network transmission quality parameters. According to the method, by dynamically obtaining the multi-dimensional network transmission quality parameters in the continuous time window and calculating the actual loss probability value, misjudgment caused by a fixed threshold value is avoided, reliable recovery of the data flow is achieved in combination with a prediction compensation mechanism and consistency verification, and the problem of packet loss caused by network fluctuation in the environment of the Internet of Things is effectively solved.

The invention relates to the technical field of digital information transmission, and discloses an aircraft multi-network fusion data real-time transmission and distribution system which comprises a physical layer state monitoring module, a transmission quality deduction engine, a deduction routing engine and a mapping model calibration module. Deducing a transmission quality index based on the transmission layer-physical layer mapping model so as to guide a routing engine to distribute data packets; meanwhile, the calibration module utilizes actual transmission layer feedback of a data packet to dynamically correct the mapping model, active measurement is replaced by passive deduction, information lag and resource occupation are avoided, and the problem of drifting failure of a deduction model in a complex environment is solved by introducing a self-calibration closed loop.

A service flow scheduling method and apparatus, and a system. When transmission quality of a service flow with a higher priority does not meet a service level requirement corresponding to the service flow, a first network device adjusts, to a first threshold, a transmission rate threshold of an HQoS model for a service flow with a lower priority, where the first threshold is less than a current data transmission rate of the service flow with a lower priority. By performing traffic shaping on the service flow with a lower priority, a bandwidth resource of a downlink port of the first network device may give way to the service flow with a higher priority, to ensure that the service flow with a higher priority meets the service level requirement of the service flow with a higher priority.

The invention relates to the technical field of new energy power generation control, and discloses a frequency modulation control and online monitoring system, which comprises an AGC (Automatic Gain Control) system for realizing automatic gain control to stabilize the signal transmission quality of the system, and an FPGA (Field Programmable Gate Array) functional module for high-speed data acquisition and logical operation processing, and the CPU processing module is used for overall planning of data analysis, instruction generation and system cooperative control. According to the invention, the FPGA + CPU hardware architecture is adopted, so that the precision requirement of power grid frequency sampling can be ensured, and the precision of the calculated grid-connected point power information can be ensured, thereby obtaining the high-precision power adjusting quantity, adjusting the new energy station according to the power adjusting quantity, and carrying out real-time adjustment control on the new energy station. The requirement for primary frequency modulation of the new energy station is met, and the operation stability of the new energy station is effectively improved.

This application relates to a communication method and an apparatus. A sensing device receives a first signal in at least one last time subunit in a first time unit and a first frequency domain unit set, and measures the first signal. The sensing device sends a first sensing signal in a second time unit and a second frequency domain unit set when a measurement result of the first signal meets a first condition. For example, if the second time unit is not occupied by another device, the sensing device may send SL signals in the second time unit; or if the second time unit is occupied by another device, the sensing device may not send SL signals in the second time unit. In this manner, a probability of resource collision can be reduced, and SL signal transmission quality can be improved.

The invention provides a component high-frequency signal transmission quality prediction and optimization method and system, and relates to the technical field of signal transmission, and the method comprises the steps: extracting the attenuation change rate of each frequency band based on the frequency domain characteristics and transmission path physical characteristic parameters of a to-be-transmitted signal of a component, and building a correlation function with a frequency band boundary position; calculating a transmission path terminal prediction loss spectrum and determining a compensation gain coefficient; performing frequency selective amplitude adjustment on the to-be-transmitted signal; and an actual received signal is collected and compared with the target frequency domain amplitude distribution, and the correlation function is updated. According to the invention, accurate prediction and adaptive optimization of high-frequency signal transmission quality are realized, and signal transmission integrity is improved.

The invention provides a data link multi-dimensional domain signal communication method, which comprises the steps of performing cross-domain association deconstruction on a data link space-time-frequency multi-dimensional signal and error feature data in an electromagnetic environment to obtain a space-time-frequency domain original feature set, and synchronously integrating signal propagation feature data and error source attribute data to generate a multi-source association data cluster, a space-time frequency multi-dimensional fusion feature topology is generated; a multi-dimensional domain collaborative error-resistant model is constructed based on space-time-frequency multi-dimensional fusion feature topology, dynamic weight distribution and error suppression strategy iterative optimization are performed on space-time-frequency domain error-resistant weight parameters and error suppression strategy parameters in combination with a space-time-frequency domain resource adaptation rule, and a multi-dimensional domain error-resistant regulation and control instruction is generated; and performing space-time-frequency collaborative optimization processing on a data chain transmission signal according to the multi-dimensional domain error-resistant regulation and control instruction to obtain an error-resistant optimization signal, synchronously acquiring transmission quality data of a link feedback signal, and performing reverse fine tuning on a multi-dimensional domain error-resistant regulation and control instruction parameter through a deviation between the transmission quality data and a preset quality threshold value.

The present application relates to a communication method and device. The method comprises: a first communication device receives a system parameter corresponding to a semantic level, the semantic level being obtained on the basis of first information, and the system parameter being used for transmitting second information. By means of embodiments of the present application, the semantic level can be obtained by means of the first information, and the second information can be determined by means of the system parameter corresponding to the semantic level, thereby facilitating improvement of the transmission efficiency and transmission quality for semantic-related information in a communication system.

The invention relates to the technical field of communication transmission, and particularly discloses an anti-electromagnetic interference high-speed transmission data wire harness system and a data wire harness, and the system comprises an electromagnetic environment monitoring module, an interference characteristic analysis module, an interference situation prediction module, a transmission parameter decision module and a transmission execution control module. The method comprises the following steps: acquiring an electromagnetic interference spectrum and transmission quality parameters in real time, and performing feature extraction by using wavelet packet transformation to generate an environment state vector; predicting a future interference situation based on a gradient boosting decision tree model; establishing a dynamic mapping relation between interference intensity and transmission parameters according to a prediction result, and generating a configuration scheme comprising a coding scheme, a power adjustment mode and a modulation mode; parameter switching is executed, transmission quality is verified, and closed-loop control is formed; according to the invention, the technical transformation from passive shielding to active prediction adaptation is realized, the hysteresis problem in coping with complex electromagnetic interference in the prior art is solved, and the reliability of data transmission is improved.

The invention provides a smart education recording and broadcasting network transmission quality optimization method and system based on AI prediction, and relates to the technical field of smart education, and the method comprises the steps: monitoring and collecting network performance parameters of a source node, an intermediate routing node and a destination node in a recording and broadcasting transmission path in real time; performing dynamic aggregation analysis on the multi-node quality parameters, establishing a logic association relationship reflecting a global transmission condition, and outputting a comprehensive evaluation result of a network quality change trend; and inputting a quantitative evaluation result into a trained AI time sequence prediction model, predicting a network anomaly occurrence probability and type in a future time window, and obtaining a transmission strategy optimization instruction containing routing adjustment, code rate adaptation and a resource reallocation strategy. According to the method, the problems of jamming, disconnection and audio and video dislocation of remote ballast correction under a time period traffic peak are solved.

The embodiment of the invention discloses an intelligent arbitration method and system based on a multi-protocol vehicle-mounted network, and the method comprises the steps: analyzing messages from different communication protocols, and converting the messages into three-dimensional feature vectors containing data types, real-time features and data scales; acquiring load characteristic parameters of a vehicle-mounted network operation state to form a load characteristic vector, and performing load prediction on a network load trend in a preset time period through a GRU model based on the three-dimensional characteristic vector and the load characteristic vector; performing trigger judgment according to the scheduling trigger judgment parameter and a preset dynamic threshold value; and when the triggering condition is met, performing arbitration adjustment. According to the method provided by the invention, predictive scheduling optimization can be carried out according to the protocol type, the message attribute and the real-time network load state, so that the utilization efficiency of communication resources is improved, and the real-time transmission quality of key messages is guaranteed.

The invention relates to a video lossless compression transmission and storage method and device. The method comprises the following steps: analyzing an obtained video frame sequence; executing quality pre-verification, and if yes, determining that the video frame sequence is a first frame sequence; based on the scene detection target, determining a target attention area in the plurality of first sequence frames; selecting a plurality of target feature frames from the plurality of first sequence frames to execute importance evaluation, and determining corresponding feature levels; mapping the plurality of target feature frames into a one-dimensional pixel sequence; dividing the one-dimensional pixel sequence into a plurality of pixel segments, and performing cross-frame aggregation on the plurality of pixel segments according to the feature level to obtain a plurality of feature sequences; and carrying out hierarchical compression coding on the plurality of feature sequences. By adopting the method, the video can be subjected to quality pre-verification, the target concerned area can be adaptively identified, and differential compression and priority transmission are performed, so that the transmission quality and the storage efficiency of the inspection video can be improved in a complex electromagnetic environment and a limited network condition.

The application discloses a modulation and coding adaptive selection method for a mobile ad hoc network based on separation of a control plane and a data plane. In the mobile ad hoc network based on separation of the control plane and the data plane, a carrier sense multiple access (CSMA) mechanism is adopted in a control time slot to compete for sending fused situation information of itself, so as to complete survey and perception of neighbor nodes. The situation information includes link transmission quality and node queue length. In the data plane, the CSMA mechanism is also adopted, but the situation information of the control plane needs to be utilized to form certain 'network order', so as to reduce the decline of throughput caused by error packets and collision. On the basis of a traditional rate adaptive algorithm based on a signal-to-noise ratio (SNR), the algorithm is improved and applied to a mobile ad hoc network device based on separation of the control plane and the data plane.

This invention provides a method and system for testing the high-temperature transmission characteristics of low-capacitance ESD devices, comprising: connecting a low-capacitance ESD device array under test in parallel to a differential signal line of a test channel; simultaneously applying a PRBS code stream signal and a surge pulse superimposed on the PRBS code stream signal to the test channel under a preset temperature environment; extracting the instantaneous drop depth of the eye diagram opening after the surge impact and the recovery time for the eye diagram opening to return to the pre-impact level based on the aligned eye diagram opening change curve; determining that the low-capacitance ESD device array does not meet the protection requirement of no packet loss during surge impact under high-temperature conditions when the instantaneous drop depth exceeds a preset eye diagram drop threshold or the recovery time exceeds a preset recovery time threshold; and determining that the low-capacitance ESD device array does not meet the protection requirement of no packet loss during surge impact under high-temperature conditions when simulating actual working conditions. This invention can simultaneously evaluate the impact of high-temperature environment on the signal transmission quality and surge protection capability of low-capacitance ESD devices under simulated actual working conditions.

The present application discloses a method and apparatus for use in a terminal and an Internet of Things device for wireless communication. The method comprises: a terminal sends a first PRDCH, OOK being used for the first PRDCH; and the terminal receives a first PDRCH, a convolutional code being used for channel coding of the first PDRCH, a constraint length of the convolutional code used for channel coding of the first PDRCH being equal to a first constraint length, and a code rate of a mother code of the convolutional code used for channel coding of the first PDRCH being equal to a first code rate. At least one of the first constraint length and the first code rate belongs to a first coding scheme, the first coding scheme belongs to a set of candidate coding schemes, and the set of candidate coding schemes comprises at least one coding scheme. The set of candidate coding schemes depends on a device type of a sender of the first PDRCH. When the set of candidate coding schemes comprises a plurality of coding schemes, the first PRDCH indicates the first coding scheme in the set of candidate coding schemes. The present application improves transmission quality.

The invention discloses a dynamic security analysis and optimization method based on a network communication system, and relates to the technical field of dynamic security analysis, and the method comprises the steps: S10, obtaining log data of routers corresponding to all marked addresses; s20, predicting the real-time security index of the router corresponding to each marked address; s30, generating a network topology structure diagram of the target data packet; s40, obtaining a security index change coefficient of a next-level network topology node; s50, determining a screening condition of each network topology node in the network topology structure diagram of the target data packet, and obtaining a screening analysis set of each network topology node; s60, screening out a target transmission primary link and a target transmission secondary link of the target data packet; and S70, dynamically adjusting the target transmission primary link based on the target transmission secondary link. According to the invention, the dynamic selection of the router is realized based on the screening analysis set, and the transmission quality and transmission efficiency of the target data packet in the network can be ensured.

The invention discloses a transmission method and a construction method of a self-adaptive vehicle-mounted video transmission network. The transmission method comprises the following steps: monitoring transmission quality information in each link in a first vehicle-mounted video transmission network for transmitting a vehicle-mounted video transmission data stream in real time; generating a topology switching instruction according to the transmission quality information of each link in the first vehicle-mounted video transmission network under the condition that the transmission quality information meets a quality deterioration condition; and controlling the transmission node to be switched from the first network topology to the second network topology by reconfiguring a port mapping relation of the transmission node according to the topology switching instruction. Therefore, the reliability and performance of the vehicle-mounted video transmission network are ensured in various application scenes, and the transmission efficiency of the vehicle-mounted video transmission network is improved.

The application discloses a transmission method and a construction method of an adaptive vehicle-mounted video transmission network, and the transmission method comprises the following steps: monitoring transmission quality information in each link of a first vehicle-mounted video transmission network used for transmitting vehicle-mounted video transmission data flow in real time; generating a topology switching instruction in the case that the transmission quality information of each link of the first vehicle-mounted video transmission network meets quality deterioration conditions; and controlling a transmission node to switch from a first network topology to a second network topology by reconfiguring port mapping relations of the transmission node according to the topology switching instruction. Thus, the reliability and performance of the vehicle-mounted video transmission network can be ensured in various application scenarios, and the transmission efficiency of the vehicle-mounted video transmission network is improved.

This invention relates to the fields of network communication and education technology, and particularly to a method for optimizing simulated link control based on reinforcement learning. This method constructs a state space containing link and teaching characteristics, defines link adjustment actions and a reward function, establishes a reinforcement learning model for training, and obtains the optimal control strategy. Applying this strategy to a target teaching scenario, it can dynamically output and execute link parameter adjustments based on real-time status, achieving adaptive optimization of the simulated link and effectively improving link transmission quality and the teaching interaction experience.

This invention relates to the field of secure data transmission, and more particularly to a power data transmission system based on a unidirectional isolation gateway. The system includes: a gateway monitoring module for determining the transmission execution strategy of each transmission execution gateway based on the associated core proportion index and the associated load change index; a redundancy optimization module for determining the redundancy processing method of a type of transmission execution gateway based on the associated correlation proportion index and the core correlation index; an association optimization module for determining the reserved execution method of a type of transmission execution gateway based on the associated load processing index; and a redundancy allocation module for determining the allocation processing method of redundant allocation gateways based on the execution correlation coefficient. This invention improves the transmission quality and efficiency of power data transmission based on a unidirectional isolation gateway.

The application relates to the technical field of network communication, and discloses a data transmission adjusting method and device, computer equipment and a storage medium, the method is applied to a CPE device, the CPE device is used for forwarding data of a terminal to a server and / or forwarding data of the server to the terminal, and the method comprises the following steps: acquiring a first RTSP message sent by the server, the first RTSP message is used for the server to request the establishment of an RTSP connection to the terminal; generating a block limitation condition in the first RTSP message, the block limitation condition carries a data block limitation value, and a second RTSP message is obtained; when the terminal transmits data to the server through the CPE device by using an RTP protocol, the block limitation condition is used for limiting the size of a single data packet of the data packet sent by the terminal to be not greater than the data block limitation value; and the second RTSP message is sent to the terminal. The application effectively avoids the IP fragmentation requirement during data transmission, reduces the packet loss risk caused by IP fragmentation, and significantly improves the transmission efficiency and transmission quality.