595 results about "Packet loss rate" patented technology

The invention relates to the technical field of mobile communication transmission, and discloses a heterogeneous network multilink parallel mobile communication transmission method and system. A dynamic link aggregation module of the system collects link state parameters including signal strength, delay jitter and packet loss rate from a plurality of heterogeneous network interfaces in real time; a flow distribution decision module calculates available bandwidth weight of each link according to the data and generates a dynamic flow distribution strategy; the data fragment packaging module splits to-be-transmitted data into a plurality of data fragments according to the strategy, and adds a sequence identifier and a link identifier to each fragment; the multi-channel concurrent transmission module sends corresponding data fragments in parallel through a specified heterogeneous network link; and the receiving recombination verification module sorts the recombination data fragments according to the sequence identifiers, and detects the data integrity through a verification mechanism. According to the system, a set of complete multi-link parallel transmission solution is formed, and the problems existing in a traditional single link and an existing multi-link transmission technology can be effectively solved.

The invention discloses a TSN scheduling optimization method and device based on flow sensing autonomous learning, equipment and a medium. The method comprises the following steps: deploying a lightweight flow detection module in a switch or a router, and after a controller receives a data request, automatically identifying a newly arrived unknown service flow by using the lightweight flow detection module, and judging whether the newly arrived unknown service flow is a periodic TT flow or an unpredictable burst flow; the controller performs classification management on the identified service flow types, collects topological information and flow requirements of the whole network and issues the topological information and the flow requirements to the terminal nodes through a network management interface; the controller constructs an intelligent queue scheduling task based on the collected network topology information and traffic demand and converts the task into a Markov decision process MDP, network resources, queue states and priorities are used as a state space, a scheduling strategy is used as an action space, a reward function is designed in combination with throughput and delay indexes, and an intelligent queue scheduling task is obtained. Driving a dynamic environment through real-time data and training a DRL model; an enhanced queue scheduling mechanism Pro-CQF is adopted, different priority labels are configured according to classified flow types, and then mixed flow scheduling is carried out; the controller periodically collects time delay, packet loss rate and end-to-end transmission delay indexes and feeds back the indexes to the DRL model, and a scheduling strategy is updated online. According to the method, the traffic sensing and scheduling efficiency is greatly improved in a network environment in which multiple service flows coexist and end-side equipment functions are different, and the reliability and the expandability of the TSN in industrial Internet of Things, edge computing and other high-real-time application scenes are remarkably enhanced.

The invention discloses a reliable communication system based on a publishing and subscribing mode in a satellite-ground weak network environment, and aims to solve the problems of high round-trip delay, limited link bandwidth, high instantaneous packet loss rate, easiness in blocking and switching influence of links and the like in a data transmission process between a low-orbit satellite and a ground station. A publishing and subscribing model is introduced into an application layer to realize service logic decoupling, deep fusion with an underlying enhanced QUIC transmission protocol is realized, and mechanisms such as message persistence, breakpoint resume, forward error correction and connection migration are combined, so that stable, orderly, complete and safe transmission of service data can still be ensured under the conditions of link instability, quality fluctuation and communication interruption, and the service data transmission efficiency is improved. And high availability and continuity of a satellite-ground communication task under a weak network condition are realized.

The invention belongs to the technical field of intelligent unmanned systems and edge intelligent reasoning, and discloses an unmanned aerial vehicle emergency inspection system integrating low-altitude communication and edge calculation. The system is composed of a link state monitoring and scoring module, a reasoning calculation migration and model loading module, a task graph modeling and dynamic segmentation module, a multi-unmanned aerial vehicle task collaboration and trajectory continuation module, a flight state fusion and path adjustment module, a redundancy criterion driven fault-tolerant control module and a result consistency verification and data caching module. According to the method, the communication link scoring function fusing the packet loss rate, the bandwidth, the time delay and the signal-to-noise ratio is constructed, the comprehensive quality evaluation of different low-altitude communication links is realized, and the reasoning model switching and task migration strategy is driven by the scoring result, so that the communication adaptation capability of the system in a complex, dynamic or emergent scene is remarkably improved, and the system performance is improved. Compared with an existing communication mechanism depending on a fixed link or a preset priority.

The invention discloses an efficient storage and transmission method for monitoring data of a low-voltage power distribution network based on lossy / lossless hybrid compression, and relates to the technical field of data storage and transmission, comprising the following steps: completing data denoising correction at an edge node, and setting a plurality of compression strategies and layering mechanisms; judging whether the data is abnormal or not based on the mahalanobis distance, and selecting a proper compression mode through reconstruction error and bandwidth adaptation; the compressed data is subjected to importance labeling and FEC optimization and then sent to a receiving end, the receiving end evaluates the decoding quality and the packet loss rate, and finally a feedback result is used for online updating of the auto-encoder. According to the method, the differential FEC redundancy rate is allocated, so that the lossless fidelity of a key fault waveform and the high compression ratio of a common periodic signal are considered; and meanwhile, closed-loop self-adaption of compression discrimination, coding and model optimization is realized by utilizing online updating of the variable auto-encoder, so that the storage and transmission efficiency is improved, and the reliability and the real-time performance of the system in sudden failure and network fluctuation scenes are enhanced.

The invention relates to a method for dynamically adjusting parameters of a video encoder, which comprises the following steps of: acquiring a visual characteristic index corresponding to a video frame image in real time, and calculating an image complexity score of the image according to the visual characteristic index; the visual feature indexes comprise motion intensity, edge density and information entropy; acquiring a network index of a video transmission network in real time; the network indexes comprise available bandwidth, delay, jitter and packet loss rate; obtaining a current encoder control parameter according to the current image complexity score and the network index; the control parameters of the encoder comprise GOP, GP, FPS and Buffer Size; and adjusting the encoder according to the obtained control parameters of the encoder. The method is superior to an existing fixed parameter coding system in the aspects of image quality, delay control, system robustness and adaptability.

The invention particularly relates to a mobile camera management system capable of adaptively adjusting video coding quality. According to the mobile camera management system capable of adaptively adjusting the video coding quality, a network condition monitoring and predicting module is used for monitoring the current network bandwidth and packet loss rate in real time and predicting the network state; the video coding control module is used for dynamically adjusting video coding parameters according to the current network bandwidth and the ROI; and the adaptive adjustment strategy module is responsible for issuing a video coding strategy to the video coding control module according to the data fed back by the network state monitoring and prediction module so as to realize dynamic adjustment of the video coding quality. The mobile camera management system capable of adaptively adjusting the video coding quality can avoid video lagging and frame loss when the network bandwidth is relatively low, is suitable for various mobile devices such as a vehicle-mounted device, an unmanned aerial vehicle and a wearable camera, effectively improves the continuity and availability of video transmission, and realizes stable application in an environment with unstable signals.

The invention is applicable to the technical field of power distribution network monitoring, and provides a power grid monitoring-oriented power adaptive congestion control method, which comprises the following steps of: acquiring a network performance index and a power grid operation parameter of a power grid monitoring data transmission network, and determining a congestion state of a current network through a preset congestion evaluation model; a 5G ad hoc network node connection strength coefficient, a new energy monitoring data priority label, a west-to-east transmission channel power flow fluctuation coefficient and a regional vulnerability index are used as decision variables, and the minimum weighted transmission delay, the packet loss rate and the maximum new energy consumption responsivity are used as objective functions. Generating a control strategy corresponding to the current network congestion state according to the hybrid intelligent optimization model fusing reinforcement learning and a genetic algorithm; executing the control strategy to dynamically adjust the network resources; monitoring the execution effect of the control strategy, and feeding the result back to the model to update the parameters; and therefore, the requirements of multi-target optimization and differential service quality in a complex power grid monitoring scene can be met.

The embodiment of the invention provides a congestion control method and device, an RDMA network card and electronic equipment, and is applied to the RDMA network card of a sending end, and the method comprises the steps: responding to the received WQE, and based on the current sending rate, sending a data packet to a receiving end through an RDMA communication link; transmission performance characterization information of the RDMA communication link in a time window is determined, the transmission performance characterization information comprises the minimum round-trip time and the maximum transmission bandwidth, and the time window is set based on the determined last minimum round-trip time; updating the current sending rate based on the transmission performance characterization information; and sending the data packet to the receiving end through the RDMA communication link based on the updated current sending rate. By applying the scheme provided by the embodiment of the invention, the packet loss rate during data transmission between equipment based on the RDMA technology can be reduced.

The invention relates to the technical field of protocol conversion, in particular to a multi-protocol fusion emergency communication scheduling method, which comprises the following steps of: calculating a path value sequence by adopting a Dikstra algorithm, comparing path values of a starting node and a target node, and screening out an optimal path, thereby being capable of realizing multi-protocol fusion in a complex multi-protocol network environment. The optimal path is rapidly selected, rapid response in emergency communication is ensured, through a dynamic path switching mechanism and based on real-time link state monitoring, rapid response can be made to changes in a network environment, communication interruption caused by path failure is avoided, a Kalman filtering algorithm is introduced, real-time prediction and smoothing are carried out on time delay and packet loss rate, and the communication efficiency is improved. According to the method, the influence of measurement noise on path selection is reduced, the accurate estimation of the system on the link state is ensured, the stability and reliability of path selection are improved, the cooperation efficiency of multi-party rescue force and the task allocation speed are improved, and the robustness of the communication system is enhanced.

The invention relates to the technical field of electric energy metering anomaly detection and diagnosis analysis, in particular to a dynamic return and compensation method and system based on an electric energy metering data restoration model, and the method designs a distortion traceability algorithm of multi-dimensional feature fusion and improved SVM (Support Vector Machine), and extracts the characteristics of load features, environment features, packet loss rate, sampling delay distortion and the like. And load fluctuation-dominated distortion, environment interference-dominated distortion and coupling-dominated distortion can be accurately positioned. For multi-source distortion restoration, a load self-adaption-environment compensation-coupling correction three-level restoration model is provided, and through differential compensation of different load types, dynamic calibration of environment parameters such as temperature and humidity, electromagnetic interference and the like and coupling coefficient matrix optimization, the measurement data restoration precision is stably maintained to be 98% or above. According to the invention, through the research on the metering data distortion traceability-coupling distortion data reduction-dynamic return and supplement calculation-return and supplement result closed-loop optimization method, the precise repair of metering errors and the scientific calculation of electric quantity return and supplement in a complex scene are realized.

The invention relates to the technical field of video coding, and discloses a dynamic code rate control method based on deep learning and terminal equipment, and the method comprises the following steps: carrying out the feature extraction of a video frame through employing a convolutional neural network, recognizing a key region in a video, and distributing a coding weight for the key region according to semantic information, the convolutional neural network performs semantic segmentation on a video frame through a pre-trained semantic segmentation network, the video frame is divided into a plurality of semantic regions, different coding weights are allocated according to the importance of the semantic regions, a higher coding weight is allocated to a key region, and a lower coding weight is allocated to a non-key region. The long-short-term memory network is adopted to model and predict the network state indexes, so that the change trends of network states such as network bandwidth, packet loss rate and delay can be accurately predicted. And the code rate is adjusted in advance based on the prediction result, so that video coding can dynamically adapt to rapid change of a network environment.

The invention discloses a dynamic optimization system and method for a heterogeneous network communication protocol, and particularly relates to the technical field of communication network automation, and the system comprises a unified time base and multi-source state modeling module, a quick change detection and shadow section risk assessment module, a risk gating and hierarchical low-disturbance execution module and a closed-loop feedback and evolution management module. According to the method, a standard recording unit is constructed through unified time base and observation delay compensation, and multi-source communication state alignment is realized; a shadow section joint risk index is calculated based on online filtering and geographical priori, hierarchical low-disturbance strategy arrangement is implemented under the constraint of risk gating and comprehensive cost, and closed-loop feedback and anti-fact evaluation are utilized to drive parameter evolution governance. According to the method, the problems that short-time fading is smoothly masked in a high-speed or strong-shielding environment and unified risk assessment and low-disturbance execution are lacked are solved, the tail time delay, the disorder rate and the packet loss rate are reduced, the communication reliability is improved, and interpretable tradeoff between energy consumption and tariff is achieved.

The invention relates to the technical field of network communication, and discloses a weak network adaptive multipath transmission method and system, and a storage medium. The method comprises the following steps: performing multi-path connectivity and quality detection on a target server, constructing a candidate set comprising a first path of a native UDP bearing QUIC, a second path of a TCP tunnel packaging QUIC and a third path of a TCP combined TLS, and performing initial selection of a main path according to the priority from high to low; periodically collecting and smoothly processing network quality indexes such as round-trip delay and packet loss rate during the connection duration; and when the monitoring data meets a preset degradation condition, reordering and switching the candidate paths in combination with a lag mechanism and a comprehensive quality scoring model. Through multi-dimensional perception and a dynamic strategy, the problem of QUIC failure caused by UDP blocking in a firewall interference or weak network environment is solved, the advantages of a QUIC protocol can be reserved to the greatest extent on the premise of not interrupting services, and the reliability and fluency of data transmission are remarkably improved.

The invention relates to the technical field of radio frequency signal monitoring, and particularly discloses a self-adaptive radio frequency interference resisting method and an interference system, which are used for constructing a full-process closed-loop system from interference detection, feature extraction, strategy generation to control execution. According to the method, characteristics of radio frequency interference signals are collected and analyzed in real time, an anti-interference strategy is intelligently generated based on a multi-dimensional parameter set, and then collaborative dynamic configuration of filter coefficients, impedance matching and compensation signals is carried out on a radio frequency front-end circuit of terminal equipment. The system can continuously monitor the quality index of the communication link, and when the index is lower than a preset threshold value, the optimization process can be automatically repeated, so that the continuity and the self-adaptability of the suppression effect are ensured. Besides, the even number method does not need to depend on physical shielding, efficient cooperative suppression can be carried out on multi-band, high-strength and broadband complex radio frequency interference, the bit error rate and the packet loss rate of a communication link are remarkably reduced, and stability and reliability of communication are guaranteed in a high-interference environment.

The invention discloses a low-delay lossless digital audio transmission method, a low-delay lossless digital audio transmission system and a storage medium, which relate to the technical field of digital audio transmission and are used for monitoring network environment data in real time and dynamically adjusting audio transmission parameters according to changes of network bandwidth Bw, network delay Dr, packet loss rate Pd and network jitter Wd. Comprising an audio transmission rate Rsv, a data packet size Spd and a redundancy coding ratio Rbf. The adaptive adjustment can ensure that the data transmission quantity is reduced and the packet loss probability is reduced when the network condition is poor, and meanwhile, the transmission efficiency is improved and the audio quality is optimized when the bandwidth condition is good. Compared with a traditional fixed transmission parameter method, lossless audio transmission can be achieved under different network conditions, and meanwhile unnecessary delay is reduced. According to the invention, intelligent compression of the audio data is realized, the data volume is reduced under the condition that the bandwidth is limited, the network burden is reduced, and the stability and integrity of audio transmission in a low-bandwidth environment are ensured.

The invention relates to an active sonar echo signal phase jump compensation method and device based on a synchronous serial number, and belongs to the technical field of underwater acoustic signal processing. The method comprises the following steps: adding a synchronous serial number into a wet end signal to form an expansion matrix; transmitting the extended signal to a signal processor and windowing the extended signal; traversing a synchronous serial number in the windowing signal, and detecting the continuity of the synchronous serial number to judge whether packet loss exists or not; if packet loss exists, positioning a packet loss position and performing zero padding operation; and finally, carrying out fast Fourier transform on the zero-filled signal to obtain a spectral analysis result. According to the method, accurate identification and phase compensation of the packet loss position are achieved through the synchronous serial number, the method is suitable for underwater acoustic single-frequency signals, and when the packet loss rate does not exceed 2.5%, spectrum sidelobes can be effectively restrained, and the peak value of the spectrum sidelobes is reduced to be within 10% of the packet loss state. The method has the advantages of being clear in principle, easy and convenient to operate and high in calculation efficiency, is suitable for real-time signal processing, and remarkably improves the reliability and efficiency of target detection.

The invention provides a dynamic coding and decoding negotiation method based on link state quality. The dynamic coding and decoding negotiation method comprises the following steps: grouping reference station RTCM data and determining the priority of the RTCM data according to the message ID of the RTCM data; based on the determined first strategy selection mode, the RTCM data is subjected to check code generation, character coding and encryption in sequence, and the strategy selection mode of the base station is synchronized to a strategy selection module of the moving station; after the moving station receives the data, decryption, character decoding and verification are sequentially carried out on the encrypted data based on the information synchronized by the strategy selection module; meanwhile, the moving station counts the packet loss rate and the verification failure rate of the RTCM data in real time; and adjusting the strategy selection mode of the next group of data according to the quality of the current link, the system load and the priority of the RTCM data until all grouped data are sent. According to the invention, a real-time closed loop is provided, and the link quality is evaluated more comprehensively.

The invention discloses a real-time voice communication system and method based on a movement prediction and standby path mechanism, and aims to solve the problems of voice packet loss, delay and call interruption caused by frequent link interruption, large route reconstruction delay and high control overhead when an existing outdoor dynamic small-scale team performs real-time voice communication in a high-speed movement scene. The system comprises a voice sending end, a voice receiving end, a path management module and a mobile prediction module. The path management module constructs and maintains a main path tree for data transmission and a pre-generated standby path tree; the movement prediction module indirectly predicts the movement trend of the node through the change trend of the link quality, and constructs a movement prediction quality parameter through the change of the link packet loss rate, the delay and the jitter so as to dynamically optimize the structure of the path tree; when the main path is subjected to link breakage or the communication quality, such as packet loss rate, delay and jitter deterioration, is below threshold values, the system can be seamlessly switched to the standby path tree, so that the continuity and real-time performance of voice communication are guaranteed; according to the invention, the lightweight design is adopted, the control packet overhead is reduced, the method is suitable for an outdoor real-time voice communication scene with a small number of nodes, high moving speed and limited bandwidth and power consumption, and the communication robustness and the user experience are remarkably improved.

The invention provides an extra-high voltage data fusion analysis method and system, and relates to the technical field of data fusion analysis, and the method comprises the steps: deploying a sensor and a collection terminal, carrying out the data collection, carrying out the unified time calibration and quality measurement based on the collected data, carrying out the channel credibility initial value calculation, and carrying out the degradation strategy, and performing node power balance residual verification, traveling wave arrival time difference residual verification and thermoelectric consistency residual verification on the basis of a data acquisition result, performing online credibility updating on the basis of a thermoelectric consistency residual verification result, setting a participation weight interval on the basis of an online credibility updating result, and generating a physical consistency verification code. By deploying multiple types of acquisition terminals in an extra-high voltage transformer substation and a power transmission line channel and based on a unified time synchronization calibration, quality measurement and channel credibility calculation mechanism, the accuracy and timeliness of data acquisition can be ensured, and particularly, a channel credibility initial value is generated through weighted calculation of a time synchronization deviation, a packet loss rate and a signal-to-noise ratio.

The invention provides a communication delay detection and control method for ship remote control, and the method comprises the steps: embedding a high-precision timestamp in a control instruction and a data packet through a shipborne 4G / 5G dual-mode communication module and a shore-based monitoring center, and transmitting the high-precision timestamp; two-way transmission delay of the ship-shore communication link is measured based on the embedded timestamp, and the packet loss rate in a preset time window is counted; on the basis of historical delay data, a dynamic moving average method is combined with an adaptive Kalman filtering algorithm to predict a delay change trend in a future short period; judging the current communication state according to the bidirectional transmission delay, the packet loss rate and the predicted delay change trend; a sending strategy of the control instruction is adaptively adjusted according to the judgment result, or the ship-borne local intelligent controller is switched to execute autonomous risk avoiding control; an improved clock synchronization protocol is adopted regularly to calibrate a ship-shore clock, and timestamp synchronization precision is ensured. Through the synergistic effect of ship-shore clock synchronization optimization, instruction verification sequencing and other modules.

The present application relates to the technical field of power communication of Internet of Things, and discloses a remote software upgrading method and system based on HPLC high-speed power line carrier network; the remote software upgrading method is applied to a software upgrading device and specifically comprises the following steps: S101: obtaining a master node of software to be upgraded; the master node completes an encrypted upgrading instruction package through HPLC network broadcasting; if the master node is in an offline state, a response is triggered through a power line power frequency cycle synchronization wake-up pulse signal to ensure that all network nodes complete instruction synchronization within a preset time. The present application realizes all-around upgrading optimization through three core technologies of dynamic fragmentation transmission, millisecond-level service continuity guarantee and resource limit adaptation; an adaptive fragmentation strategy (128KB-512KB) based on a signal-to-noise ratio compresses a packet loss rate in a high-noise environment to 0.1%; combined with multi-path concurrent transmission and a breakpoint resume protocol, average transmission time is reduced from 30 minutes to 17.4 minutes; and a power frequency synchronization wake-up mechanism is used to realize 300ms network-wide instruction synchronization.

The invention discloses a CDN fault node isolation method and system based on telecom operator network management data, and relates to the technical field of CDN fault management and operation and maintenance, and the method comprises the steps that an operator network management center collects multi-stage network equipment and link data, and a CDN health center collects indexes such as node packet loss rate; comparing an index and a threshold value quality index degree which exceeds a threshold value, and marking a suspected node; querying network management data to locate a fault category; calculating a score by combining a fault position weight, and isolating if the score exceeds a threshold value and the fault position is a node or a direct connection link; eliminating nodes and scheduling traffic; and quickly triggering the alarm, subscribing the network management alarm, directly marking the suspected node and triggering the process. According to the method, the isolation accuracy of the CDN fault node is improved, and misjudgment caused by an upstream network fault is reduced; the isolation response time delay is shortened; congestion aggravation is inhibited; a quantifiable and configurable isolation decision system is formed, the operation and maintenance intelligence is improved, and the service quality and the user experience are optimized.

The invention discloses a satellite-ground fusion network MPQUIC data packet transmission scheduling method, which comprises the following steps: adopting a real-time path index cache and sliding time window mechanism to measure the round-trip time and packet loss rate of a satellite and a ground path in real time so as to obtain the instantaneous quality state of the path; a comprehensive path scoring model combining the bandwidth, the buffer area utilization rate, the round-trip delay and the packet loss rate is constructed, an award factor and a penalty factor are dynamically adjusted, and a current optimal transmission path is adaptively selected; a switching event of a satellite link is predicted based on satellite orbit data, and data packet transmission of the path is skipped in advance. According to the method, the problems caused by path isomerism and high dynamics in the satellite-ground convergence network are solved; according to the invention, higher throughput and lower flow completion time can be realized, and the transmission stability is greatly improved.

The invention discloses a data acquisition interaction method of an electric energy meter data terminal. The data acquisition interaction method comprises the steps of instruction awakening and parameter initialization, dynamic sampling of environment perception, anomaly detection driven by spatial-temporal characteristics, multi-path quantum-classical hybrid encryption transmission and feedback retransmission and cache synchronization. According to the method, the sampling frequency is dynamically adjusted by fusing power load and environmental fluctuation data, a Mixer-Transform architecture is adopted to extract spatial-temporal characteristics, an abnormal threshold is updated in combination with EWMA, quantum or national secret encryption is selected according to a path quality score, fragmented parallel transmission is carried out, and hierarchical cache synchronization is carried out according to data timeliness. According to the method, the sudden change response speed is increased, the abnormal false alarm rate and the transmission packet loss rate are reduced, the data synchronization delay after network recovery is reduced, and the method is suitable for accurate acquisition and secure transmission of electric energy data in a complex environment.

A multimode cabinet intelligent management terminal for narrowband Internet of Things communication comprises an environment monitoring module, a load sensing module, a protocol switching module and a bandwidth scheduling module. The environment monitoring module obtains key indexes of network signal strength, delay and packet loss rate and calculates environment data; the load sensing module collects CPU usage rate and memory usage condition load data, evaluates the load state of an Internet of Things sensor node, and generates load data and environment data. The protocol switching module dynamically evaluates network environment and equipment load changes, predicts a network environment change trend by adopting a weighted decision method, and screens an optimal protocol based on a protocol switching strategy; and the bandwidth scheduling module performs optimal allocation on the bandwidth, automatically adjusts bandwidth resources, and performs release and reallocation by monitoring the network condition in real time to obtain bandwidth resource information. The invention provides a multimode cabinet intelligent management terminal for narrowband Internet of Things communication. Accurate point prediction and reliable interval prediction and probability prediction of wind power are realized.

The invention discloses an analysis and display method and system for network quality detection, a medium and a product, and relates to the technical field of data processing. In the method, external network detection data and WiFi access quality data reported by probe equipment are received, and the data are aggregated according to a preset time period to form a network quality data group of a sampling period. And the system arranges the data groups according to a time sequence, and identifies an abnormal period in which an external network time delay mean value or a packet loss rate suddenly changes. And for each abnormal period, extracting a change sequence of WiFi signal strength, a working frequency band and an external network performance index in the period and an adjacent period. Based on these sequences, the system identifies quality degraded trigger events and extranet path problem points. And finally, displaying the network quality data of each sampling period in a visual interface, and marking a corresponding trigger event and a problem point at an abnormal period position. By implementing the technical scheme provided by the invention, the analysis and display efficiency of network quality detection can be improved.

The invention relates to a vehicle OTA upgrading method and system based on regional feature perception and a medium, and relates to the technical field of new energy vehicle remote upgrade.The method comprises the steps that on the basis of multi-dimensional environment parameters of all regions of the global, the global is divided into a plurality of regional feature clusters through a density clustering algorithm; for each regional feature cluster, generating an increment upgrade package containing a regional environment feature matrix through binary difference analysis; dynamically selecting an optimal network transmission path based on transmission cost, packet loss rate and time delay parameters of a cellular network, a Wi-Fi hotspot and satellite communication; and sending the incremental upgrade package to a vehicle in a target area through the optimal network transmission path to carry out OTA upgrade. According to the method, the traffic cost and the failure rate of transnational OTA upgrading can be remarkably reduced, and meanwhile, the reliability and the efficiency of vehicle software updating in different geographical environments are improved.

The invention relates to the technical field of network access selection, in particular to an intelligent network selection method and system in a router WLAN (Wireless Local Area Network). In the method, a finite-state machine is introduced, multiple operation stages of to-be-evaluated, candidate keeping, switching verification, switching execution and freezing observation are mapped into discrete states, and a state transition path is limited through state identification and trigger conditions; the access switching must meet the condition that the continuous period score difference value is positive and exceeds the minimum retention timer constraint, the probability of short-time fluctuation triggering switching is restrained from the decision level, the verification period is limited through a timestamp and a frozen window, and the packet loss rate, the retransmission rate and the disconnection frequency in the period are subjected to period statistics. When the statistical result exceeds the upper limit of the threshold value, back-off judgment is triggered, abnormal connection is recognized and revoked within the controlled time range, the continuous communication degradation risk caused by mistaken switching is reduced, constraint is carried out in combination with a load weighted value, and stability evaluation gives consideration to historical behaviors and the future risk trend.

The invention relates to the technical field of communication, and provides an intelligent networking method and system for a wireless ad hoc network, and the method comprises the steps: firstly collecting the position, signal strength, bandwidth load and other state information of each ad hoc network node, and then transmitting the state information to a distributed edge calculation module through a wireless module; the method comprises the following steps: establishing a network topological graph reflecting link signal attenuation and packet loss rate, transmitting ad-hoc network node state information and the network topological graph to a cloud computing platform for comprehensive analysis to generate a current optimal transmission path, networking based on the current optimal transmission path, and finally continuously monitoring the moving state of the ad-hoc network node and updating the information of the ad-hoc network node. And repeating the steps to dynamically optimize the networking strategy. Therefore, the transmission efficiency and the stability of the wireless ad hoc network can be effectively improved.