1130 results about "Transmission quality" patented technology

The invention relates to the technical field of communication scheduling, discloses a communication scheduling network management intelligent optimization system and method based on AI dynamic decision, and solves the problems of insufficient scheduling dynamics, closed loop deficiency and poor edge adaptation in the prior art. Comprising a multi-dimensional data fusion acquisition module, a dynamic AI decision engine module, a cross-domain collaborative scheduling module and an intelligent closed-loop feedback optimization module. The dynamic AI decision engine module evaluates business value and resource pressure based on an edge-center collaborative architecture, predicts transmission quality and quantifies strategy income, the cross-domain collaborative scheduling module realizes intra-domain resource slicing and inter-domain strategy negotiation and path optimization, the intelligent closed-loop feedback optimization module constructs a data closed loop to iteratively optimize model parameters, and the dynamic AI decision engine module performs multi-domain collaborative scheduling on the basis of the edge-center collaborative architecture. Intelligent scheduling and autonomous optimization of network resources are realized, and the real-time performance, the reliability and the resource utilization rate of a communication network are improved.

The invention discloses a communication transceiving method and system for adaptive frequency hopping filtering, and relates to the technical field of communication. According to the method, the channel state is monitored in real time, the adaptive frequency hopping algorithm and the machine learning technology are adopted, the adaptability and the intelligent level of a communication system in a complex electromagnetic environment are improved, interference is effectively avoided, meanwhile, the antenna space constraint and the optimization algorithm are considered, the optimal antenna design parameters are calculated, the transmitting power control precision is improved, and the system performance is improved. The signal transmission efficiency and the communication quality are improved, the signal transmission quality and the system anti-interference capability are improved by dynamically adjusting the transmission power and the receiving end signal integrity keeping algorithm, the data accuracy and integrity are ensured, and the communication reliability and stability are enhanced.

The invention discloses an adaptive modulation anti-multipath unmanned aerial vehicle swarm communication method and system based on MIMO-OFDM, and relates to the technical field of wireless communication, and the method comprises the steps: receiving a down-conversion baseband; synchronization and compensation are carried out; removing a cyclic prefix and carrying out fast Fourier transform; estimating a channel and noise on the training and pilot frequency, and correcting a common phase; performing frequency domain equalization and soft decision, forward error correction and cyclic redundancy check according to the estimation to obtain a control parameter, decoding a payload according to the control parameter, and performing statistics to form a link quality indication; modulating coding, bandwidth and spatial mode, configuring mapping, power and weight, and packaging physical layer protocol data; carrier sensing conflict avoiding sending, confirmation and retry are adopted to generate media access statistics; and the routing selects the next-hop multi-hop forwarding according to the transmission quality, and performs end-to-end statistics and recharge. Through cooperation of hierarchical synchronization and phase correction with cyclic prefix and FFT, crosstalk is suppressed, channel noise scale optimization soft decision is robust, data decoupling is controlled, and end-to-end availability is improved through multi-hop self-healing recharge.

The invention relates to the technical field of electronic circuits, in particular to a construction method and system of a high-speed differential signal transmission model. The method comprises the following steps: acquiring design data of the printed circuit board, and extracting differential signal line data; constructing a high-speed differential signal transmission model according to the differential signal line data; performing signal transmission simulation based on the high-speed differential signal transmission model to obtain high-speed differential signal transmission data; identifying a crosstalk source position based on the high-speed differential signal transmission data to obtain a crosstalk source coordinate; detecting via hole dislocation based on the crosstalk source coordinates to obtain via hole dislocation data, and evaluating a heat accumulation degree based on the via hole dislocation data; identifying an electrical fault area of the circuit board based on the heat accumulation degree; and extracting stack structure information according to the printed circuit board design data. Based on the electronic circuit technology, the precision and reliability of the high-speed differential signal transmission model are improved, and the signal transmission quality and the electrical fault detection rate are remarkably improved.

The invention relates to the technical field of information transmission, in particular to a multi-band processing system for electronic communication, which comprises a signal separation module, a frequency deviation compensation module, an amplitude correction module, a phase correction module and a dynamic feedback adjustment module. According to the invention, a plurality of frequency bands are extracted to execute band-pass filtering to separate signal components, short-time power spectral density is calculated to describe energy distribution, normalization coefficient operation is carried out to enhance frequency domain balance, high-energy component screening is carried out to reduce noise interference, signal effectiveness is improved, and frequency offset compensation calculates a change rate based on adjacent phase data and eliminates abnormal fluctuation. A time domain coefficient is adjusted to correct a frequency offset error, amplitude correction depends on short-time Fourier transform to screen the maximum amplitude to optimize signal consistency, phase adjustment fits a group delay error curve to optimize compensation parameters, dynamic feedback optimizes a strategy according to a signal-to-noise ratio to enhance compensation precision, and signal transmission quality and stability are improved.

The invention relates to the technical field of cluster video stream processing, and discloses a video stream real-time coding and decoding transmission method under a cluster. The method comprises the following steps: firstly, acquiring video stream coding parameter text data, link state time sequence data and equipment performance index data of multiple nodes of a target cluster to form a transmission link data set; semantic analysis is carried out on the coding parameter text data to obtain a coding semantic feature vector, dynamic fluctuation features are extracted from the link state time sequence data to obtain a link fluctuation feature vector, and cross-modal fusion is carried out to generate a fusion transmission feature set; generating an abnormal association degree score set by using a pre-trained multi-layer sensing network model, and obtaining an abnormal source node and an equipment defect type by combining root cause tracing according to the abnormal association degree score set; and finally, generating a dynamic optimization strategy and feeding back to the transmission control system to trigger parameter calibration. According to the method, the abnormal root cause can be accurately traced, the transmission parameters are optimized, and the cluster video stream transmission quality is improved.

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 discloses a low-delay self-adaptive audio transmission method, system and device and a storage medium, and relates to the technical field of audio, and the method comprises the steps: dynamically recognizing an optimal transmission path in wireless dual bands based on an intelligent band detection and self-adaptive channel selection mechanism; decomposing the target audio data through a hierarchical coding algorithm, and executing self-adaptive adjustment of a differential transmission strategy and a quantization parameter; the dual-band performance is monitored in real time based on a load balancing algorithm, the decomposed transmission tasks are dynamically allocated, and path switching is triggered when it is monitored that the transmission quality of the current band is abnormal; the future buffer requirement is predicted based on a predictive buffer algorithm, the size of a buffer area is dynamically adjusted according to the actual playing condition and the network state change so as to ensure the playing continuity and minimize the delay, the technical bottleneck of traditional single-frequency wireless audio transmission is broken through, an effective frequency band coordination mechanism is realized, resource waste or transmission conflicts are avoided, and the transmission efficiency is improved. And the double-frequency advantage is fully exerted.

The invention relates to the field of data storage and backup, and discloses a method and a system for transmitting disaster recovery backup capability of an emergency recovery unit. The method comprises the steps of establishing a quantum encryption transmission channel, monitoring a network index in real time and predicting transmission quality to start preventive optimization, calculating a link quality score to carry out link switching, verifying integrity and consistency of received data and executing retransmission, carrying out multi-mode data backup, and switching to an emergency recovery unit when a main data center fails. The system comprises a quantum encryption transmission module, a transmission monitoring and switching module, a data verification and retransmission module, a multi-mode backup module and an emergency switching and synchronization module. Through the technical scheme, the problems of data transmission security and high efficiency can be effectively solved, the disaster recovery backup capability of the emergency recovery unit is improved, the service continuity is ensured, and the method and the device are suitable for scenes with high requirements on data security and service continuity.

The invention relates to the technical field of dynamic system configuration, and discloses a dynamic system configuration and state change notification method and system, and the method comprises the steps: obtaining a system initialization parameter set; constructing an information communication center based on the system initialization parameter set, and generating a protocol routing set and a topological connection diagram of the information communication center; constructing a multi-modal state monitoring channel based on the protocol routing set of the information communication center and the topological connection diagram, initializing a detection engine, and obtaining an engine state set of the detection engine; constructing a subscription relation mapping matrix based on the topological data set and the application subscription request set, and generating a path optimization strategy set; generating a cross-protocol event set based on the state change event set, generating transmission quality based on the cross-protocol event set, and dynamically scheduling the detection engine path according to the transmission quality; and generating an exception handling independent channel based on the dynamic scheduling condition. According to the invention, the reliability and maintainability of the system are improved.

The invention discloses a multi-protocol channel data aggregation method based on 5G communication, and relates to the technical field of heterogeneous network data processing under the fusion of 5G communication and edge computing, and the method comprises the steps: constructing a protocol adaptive conversion engine, recognizing an input protocol type through learning, and automatically selecting a conversion strategy and a data packaging format. An edge-cloud collaborative intelligent scheduling architecture is introduced, a data aggregation task is dynamically determined, a dynamic channel aggregation algorithm of a 5G network state and protocol characteristics is designed, and a transmission path and an aggregation strategy are intelligently selected. By constructing a protocol adaptive conversion engine, an edge-cloud collaborative intelligent scheduling architecture and a dynamic channel aggregation algorithm fusing 5G network state and protocol characteristics, automatic identification, efficient aggregation and optimized transmission of multi-protocol data are realized, dynamic scheduling of tasks is realized in combination with an SDN / NFV technology, and the dynamic scheduling efficiency of the multi-protocol data is improved. The channel selection mechanism based on the utility function comprehensively considers the network state and protocol characteristics, and guarantees the transmission quality of high-priority and time delay sensitive data.

The invention discloses a distributed data encryption and verification system and method based on a block chain, and relates to the technical field of block chains. The method comprises the following steps: dynamically matching an initial processing node and a transmission path according to data characteristics and node capability; selecting an optimal path and an encryption strategy by combining the node capability, the network state and the data security requirement; data fragmentation encryption transmission is executed, and the transmission quality is evaluated in real time; future transmission risks are predicted based on historical data, and path sustainability is evaluated; and adjusting the path according to the real-time verification value and the prediction feasibility, and updating the block chain record. Full-link traceable auditing is realized through block chain evidence storage, the dynamic encryption strategy and predictive path optimization are combined, the transmission efficiency is improved, the security risk is reduced, the energy consumption is reduced, and the method is suitable for a high-security demand scene.

The invention discloses a satellite-ground cooperative wide-area real-time communication system and a communication method thereof, and relates to the technical field of satellite-ground cooperative communication, and the communication method comprises the following steps: deploying a satellite-ground cooperative network, configuring initial link parameters and node identifiers of a satellite and a ground station, and establishing a link state table; the link state data in the link state table are fed back to the control end, and the control end calculates a link comprehensive score based on the link state data; according to the real-time optical communication channel state and the interference condition, the light beam direction is dynamically adjusted, communication channel reconstruction is carried out, and the optimal optical communication channel is selected; transmitting the encoded data stream to a receiving end through the optimal optical communication channel, and decoding the encoded data stream by the receiving end through a decoder to generate link quality data; and updating the link state table according to the link quality data. Based on the real-time optical communication channel state and the interference condition, the light beam direction is dynamically adjusted, the communication channel is reconstructed, the optimal transmission path of the channel is ensured, and therefore the signal transmission quality and the bandwidth utilization rate are improved.

The invention is suitable for the technical field of network scheduling, and provides a network scheduling method and system for hybrid service transmission based on RDMA, and the method comprises the steps: receiving a to-be-transmitted service demand instruction, and determining a corresponding service type according to a service quality parameter in the service demand instruction; matching a corresponding virtual transmission channel for the service demand instruction according to the service type, wherein the virtual transmission channel is used for isolating hardware-level resources of different types of traffic; selecting an optimal transmission path for the flow of each virtual transmission channel according to a preset path evaluation model; analyzing the congestion risk of the optimal transmission path by adopting a prediction model; and dynamically adjusting a flow transmission path according to a congestion risk analysis result, and ensuring the transmission quality of the highest priority service through a hardware-level scheduling strategy. According to the invention, the optimal balance between the service quality and the resource efficiency can be realized in a complex mixed service environment.

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 power supply system health assessment, in particular to a health assessment method and system of a power supply system based on artificial intelligence. The method comprises the following steps: acquiring data of a power supply system, estimating initial performance parameters of the power supply system, evaluating an initial running state of the power supply system, and acquiring initial state data of the power supply system; performing power supply equipment load operation simulation based on the initial state data, and predicting a fault evolution trajectory; the transmission quality attenuation degree of the power supply system is estimated by analyzing the fault evolution trajectory of the power supply system, the loss increase trend of a transmission line is detected, and the performance decrease trend is evaluated in combination with the attenuation degree; evaluating health attenuation data of the power supply system according to the performance reduction trend; transmitting the data to an artificial intelligence model for deep learning training to obtain accurate power supply system health state evaluation data; according to the invention, health analysis is carried out on the power supply system, so that the power supply system is safer and more stable.

The invention provides an electric power wireless local area network multi-domain data processing method and system based on credibility certification, and the method comprises the steps: firstly calling a credibility certification model to carry out the credibility certification of terminal equipment, generating a terminal certification data set containing equipment identity and the like, obtaining a cross-domain original data flow, extracting the characteristics of equipment operation and the like through multi-mode characteristics, and carrying out the multi-mode certification of the terminal equipment; the method comprises the following steps: carrying out weighted fusion on credibility of equipment operation state characteristics based on a terminal authentication data set, carrying out dynamic association analysis on the credibility and network transmission quality characteristics to generate a cross-domain association characteristic set, and carrying out spatio-temporal context aggregation on the cross-domain association characteristic set and service operation semantic characteristics by utilizing a pre-trained multi-domain collaborative analysis model; and finally, according to the multi-domain collaborative optimization strategy set, dynamic resources of service domain nodes are reconfigured, and a network optimization execution instruction set is generated and fed back to terminal equipment to trigger trusted communication link upgrading operation. And effective multi-domain data processing and network optimization of the electric power wireless local area network are realized.

The present application relates to the technical field of communications, and discloses a path planning method and apparatus, a device, a system, and a storage medium. The method comprises: acquiring traffic prediction information respectively corresponding to at least one time period; and on the basis of the traffic prediction information respectively corresponding to the at least one time period and at least one selectable path respectively corresponding to each service, determining a target forwarding path of each service meeting path planning objectives. The path planning objectives comprise: the service traffic borne by any link in a hierarchical network in any time period is less than or equal to the bandwidth capacity upper limit of any link, load balancing is realized between multiple links connected to a same network node in the hierarchical network, and the transmission quality of the target forwarding path of any service meets a quality requirement of any service. Path planning of a global service is realized, network link congestion can be reduced, and better effects that load balancing between all network links is realized and a service forwarding path meets a service quality requirement are achieved.

The invention provides a strong interaction video stream transmission quality optimization method, device, controller and system. The method comprises the following steps: a slow module determines a network packet loss probability prediction value and a packet loss aggregation prediction value of strong interaction video stream data in a next streaming media protocol feedback period; the fast module adopts a random forest model to decide the fine-grained redundancy corresponding to each video frame coding period frame by frame based on the network packet loss probability prediction value, the packet loss aggregation prediction value and the length of each video frame to be transmitted by the network corresponding to the strong interaction video stream data; and performing forward error correction coding on the data packet of each video frame based on the redundancy to obtain the data packet added with redundancy protection corresponding to each video frame. According to the method, the device and the system, the size difference and the network dynamics of different video frames of strong interaction video streams such as cloud games can be accurately self-adapted, the interaction quality of the strong interaction video streams can be ensured, the redundant bandwidth overhead can be greatly reduced, and the transmission quality and the redundant cost of the strong interaction video streams can be balanced.

The invention provides a user experience optimization method and system for an audio and video transmission system, and the method comprises the steps: firstly obtaining a transmission quality data set in the audio and video transmission process of a target terminal, the transmission quality data set comprises a plurality of transmission session sequences, and each transmission session sequence is composed of network fluctuation, coding and decoding parameters, user feedback and other features; performing transmission feature extraction on the data set to obtain audio and video synchronization, dynamic code rate and decoding delay features, calling a pre-trained reinforcement learning optimization model, performing dynamic aggregation processing on the features to generate a transmission quality evaluation result, and finally determining a dynamic transmission optimization strategy based on the transmission quality evaluation result. And the real-time transmission parameter adjustment operation is triggered, so that the user experience of the audio and video transmission system is optimized.

The invention relates to the technical field of network communication, and discloses a ubiquitous network dynamic fair rate cooperative control method, which aims at link time varying, topology reconstruction and multi-source and multi-path concurrency characteristics of an air-space-ground-sea fusion network. A routing node periodically collects indexes such as a request satisfaction rate, a queue length and a multi-hop queuing-free proportion to obtain link transmission quality and dynamically update an interest packet forwarding table; deducing a queue upper limit, calculating a rate shaping value in combination with an interest packet forwarding proportion, and carrying out delayed transmission on an over-limit interest packet; when the interest queue exceeds a threshold value, a congestion feedback value is generated and goes down along with a data packet, and an uncongested interface obtains a release bandwidth through probability compensation; and if the whole path is still congested, the consumer multiplicatively shrinks the sending window according to the feedback proportion. According to the method, the throughput is remarkably improved and the queuing delay is reduced while fair allocation of bandwidth resources is ensured.

The invention belongs to the technical field of air traffic management, and discloses a control tower and flight guarantee command room decision instruction transmission method based on edge nodes, priorities are distributed for instructions through an intelligent grading model, the high-priority instructions can reserve resources in advance and are transmitted preferentially, the resources can be preempted in emergency, and the control tower and flight guarantee command room decision instruction transmission efficiency is improved. A multi-path transmission strategy is automatically switched when a certain path fails, data integrity is ensured in combination with fragment verification and block chain recording, instruction loss caused by a single point of failure is avoided through edge-cloud redundant backup, and the problems that instruction transmission is prone to interference and insufficient in safety in a traditional method are solved; through intelligent priority grading, resources are inclined to high-priority instructions, resource waste is avoided, a collaborative scheduling mechanism of an edge node cluster can dynamically adjust resource allocation according to a real-time load, and a transmission quality feedback and adaptive optimization strategy is continuously optimized, so that the system can still efficiently process a large number of instructions in a flight take-off and landing intensive period.

The invention relates to the technical field of electric power system communication, in particular to a dynamic bandwidth allocation method and system for an electric power communication network, and the method comprises the steps: constructing a service traffic characteristic database, dividing service types, defining indexes such as a bandwidth threshold value, and predicting traffic fluctuation by adopting an LSTM-GARCH hybrid neural network; parameters such as a link bandwidth occupancy rate are obtained in real time, and a network state matrix is constructed; based on the prediction model and the network state, generating a bandwidth allocation scheme through a deep reinforcement learning algorithm optimized by a near-end strategy; a software-defined network controller is used to execute a strategy, and a gradient descent method is combined to optimize parameters to form a closed loop. By dynamically adapting the service flow and the network state, the bandwidth utilization rate is improved, the key service transmission quality is guaranteed, and efficient and stable operation of the electric power communication network is achieved.

The invention relates to the technical field of video data compression and transmission, and particularly discloses a multi-modal video data compression and transmission method, which comprises the following steps of: firstly, extracting a feature set of multi-modal video data, dynamically evaluating a feature priority based on the feature set, and then, carrying out differential compression on different priority modals by adopting a hierarchical compression strategy, and finally, screening available paths through historical transmission data, matching path intervals in combination with modal priorities, monitoring a network state in real time, dynamically judging a transmission state, and quickly switching to a suboptimal path in case of abnormality. According to the method, through dynamic feature priority evaluation, a hierarchical compression strategy and real-time transmission path monitoring and switching, the defects of a traditional method in the aspects of compression efficiency, transmission quality and real-time adaptability are overcome, the influence of network congestion or faults on the transmission quality is effectively avoided, and the compression efficiency, the transmission quality and user experience are remarkably improved.

The invention discloses a PCBA (Printed Circuit Board Assembly) processing component layout optimization method and system, and relates to the technical field of electronic design automation. Data stream information of each functional module of a PCBA is collected, data stream characteristics are analyzed, and key signal paths and interaction relationships are determined; the method comprises the following steps of: dividing priorities for different data streams according to functional requirements and signal importance of a PCBA (Printed Circuit Board Assembly), and determining a core signal; by optimizing component layout, reducing roundabout and intersection of signal paths, reducing signal transmission loss and interference, reasonably dividing functional areas and compactly arranging associated components according to data stream directions and core signals, it is ensured that the signal transmission paths are clear and efficient, meanwhile, the transmission quality of high-priority signals is preferentially guaranteed, and the transmission efficiency is improved. By adopting a transmission line with strong anti-interference capability, adding a signal buffer and filter circuit and other measures, the signal integrity is obviously improved, and the signal is kept stable and reliable in the transmission process, so that the performance of the whole PCBA system is improved.

The invention relates to the field of communication, and discloses a frequency band switching method and device, terminal equipment and a storage medium. The method comprises the following steps: acquiring link performance data of each frequency band in a network environment in which the communication equipment is currently located, so as to predict link transmission quality of each frequency band in a future time period, and determining candidate frequency bands; monitoring and balancing channel loads on a plurality of communication channels in each physical link in each candidate frequency band; and obtaining spectrum data of each candidate frequency band to analyze a signal intensity distribution condition of each candidate frequency band, further determining an interference signal and an interference degree existing in each candidate frequency band, screening out an optimal frequency band from each candidate frequency band, and switching the communication equipment to the optimal frequency band. Through link performance prediction, the optimal frequency band is actively switched after active prediction, switching is prevented from being triggered after link quality deterioration, dynamic and intelligent frequency band switching is achieved, and communication reliability and user experience can be remarkably improved.

An optical receiver includes: a data processing circuit used to receive an optical signal carrying data information and perform a signal processing on the optical signal to obtain the data information and performance parameter (s) for indicating transmission quality of the optical signal; a memory used to dynamically buffer waveform data obtained through the signal processing of the optical signal; and a detection controller used to output a first indicating signal to the memory in a case where the at least one performance parameter satisfies a first condition. The first condition includes that the optical signal has a transmission fault and / or the transmission quality of the optical signal decreases to a first degree. The memory is further used to freeze current waveform data to obtain frozen waveform data in response to the first indicating signal, and the frozen waveform data includes waveform characteristic information of the transmission fault.

An apparatus includes at least one processor; and at least one memory including computer program code; wherein the at least one memory and the computer program code are configured to, with the at least one processor, cause the apparatus at least to: determine a transmission power requested with a network node; determine a transmission quality class based on the transmission power requested with the network node; wherein the transmission quality class comprises a predefined maximum power reduction; determine an output power value based on the transmission quality class; determine an uplink transmission power as a minimum of: the output power value, and the transmission power requested with the network node; and transmit an uplink transmission, based on the uplink transmission power.

The invention discloses a multi-base-station cooperative data transmission system, and relates to the technical field of communication, a multi-base-station digital twinborn model is constructed, a signal transmission quality allowable confidence interval is obtained by using the multi-base-station digital twinborn model, and then a candidate base station set is screened out through the signal transmission quality allowable confidence interval; predicting future position coordinates of the user by using the user track parameters, and outputting a user track prediction map; outputting a time distribution characteristic and a space distribution characteristic of the candidate base station set by using a multi-base-station digital twin model, and outputting a space-time channel quality map of the candidate base station set; and screening the candidate base station set based on the user track prediction map and the space-time channel quality map of the candidate base station set, obtaining a comprehensive score of the screened base station, and outputting a cooperative base station list and a switching strategy. Intelligent switching and efficient cooperation based on digital twin modeling and dynamic prediction are achieved, and the reliability and user experience of a communication network are remarkably improved.

The invention discloses a bus network configuration reconfiguration device and method, a main control unit, equipment and a medium. The bus network configuration reconfiguration device comprises an upper computer and reconfiguration equipment corresponding to M node equipment and P communication networks, the reconstruction device comprises a main control unit and a bus switching matrix. The bus switching matrix comprises a node switching matrix and a network switching matrix; the node switching matrix is respectively connected with the network switching matrix and the P communication networks; the network switching matrix is also connected with the M node devices; and the main control unit controls the node switching matrix and / or the network switching matrix to realize switching of the node equipment accessed to the communication network and / or the communication network accessed by the node equipment based on the configuration information sent by the upper computer. According to the embodiment of the invention, the method can achieve the automatic reconstruction of the high-speed bus network configuration, achieves the switching of the node equipment and the communication network through the node switching matrix and the network switching matrix, enables each signal path to have no branch wiring, and improves the signal transmission quality.