CN-122027491-A - Digital twin-drive-based multichannel converged network communication simulation deduction method and system
Abstract
The invention discloses a multi-channel fusion network communication simulation deduction method and a system based on digital twin driving, comprising the following steps of constructing a communication environment digital twin body; the method comprises the steps of collecting data in the operation of a real physical network through a sensor and a network probe, mapping the data to a virtual space by utilizing a virtual-real mapping technology, establishing a digital twin communication environment model corresponding to the physical communication network in real time, analyzing heterogeneous channel characteristics based on the digital twin communication environment model, establishing a dynamic multi-channel parameter set, calibrating and classifying each channel, establishing a multi-channel fusion communication resource library, and establishing a data transmission channel between a physical communication domain and a virtual communication domain. The invention realizes real-time simulation deduction of the large-scale multichannel network while ensuring high-precision prediction, and solves the technical problem that the real-time performance and the accuracy cannot be achieved in a complex network environment.
Inventors
- SUN GUANGHUI
Assignees
- 北京国信蓝盾科技有限公司
Dates
- Publication Date
- 20260512
- Application Date
- 20260202
Claims (10)
- 1. The digital twin-drive-based multichannel converged network communication simulation deduction method is characterized by comprising the following steps of: Acquiring data in the operation of a real physical network through a sensor and a network probe, mapping the data to a virtual space by utilizing a virtual-real mapping technology, and establishing a digital twin communication environment model corresponding to the physical communication network in real time; Based on the digital twin communication environment model, analyzing heterogeneous channel characteristics, constructing a dynamic multi-channel parameter set, calibrating and classifying each channel, and establishing a multi-channel fusion communication resource library; Constructing a data transmission channel between a physical communication domain and a virtual communication domain, and performing bidirectional synchronization between network fluctuation of the physical communication domain and a simulation state of the virtual communication domain based on a real-time state updating mechanism of the digital twin body of the communication environment to complete double-domain synchronous simulation scheduling; generating an adaptive channel fusion path through an algorithm engine according to the current communication situation in the virtual communication domain; based on the time acceleration characteristic of the digital twin body of the communication environment, predicting the communication environment change in a preset time period in the future, loading the self-adaptive fusion path to develop multi-round forward-looking simulation deduction, outputting the communication performance indexes of different paths, and determining the optimal fusion path; And converting the deduced and determined optimal fusion path into a network control instruction through an instruction issuing interface, writing the network control instruction back to a physical communication system, driving physical network equipment to execute dynamic regulation and control, and monitoring the regulated network operation result in real time.
- 2. The deduction method according to claim 1, wherein the data includes channel state information, node topology data, traffic behavior characteristics, and physical environment elements; The construction of the communication environment digital twin body further comprises the adoption of a multi-source heterogeneous data fusion mode, and specifically comprises the following steps: carrying out geographic information fusion on the environment sensing data, and reconstructing a three-dimensional shielding model of the physical environment; cleaning and association analysis are carried out on the weblog data, and historical communication fault characteristics are extracted; carrying out time sequence analysis on the link performance sampling data, and fitting a channel fading model; and carrying out pattern recognition on the user behavior data to generate a service flow request model of the virtual user.
- 3. The deduction method according to claim 1, wherein the analyzing heterogeneous channel characteristics based on the digital twin communication environment model constructs a dynamic multi-channel parameter set and calibrates and classifies each channel to construct a multi-channel converged communication resource base, and the method specifically comprises: Based on the digital twin communication environment model, analyzing heterogeneous channel characteristics of wireless, optical fiber, satellite and relay links, constructing a dynamic multi-channel parameter set comprising channel bandwidth, delay, bit error rate and anti-interference capability, and calibrating and classifying the availability, stability and capacity limit of each channel under different simulation scenes; the establishing the channel type of the multi-channel converged communication resource library at least comprises the following steps: a narrowband internet of things channel, a broadband mobile communication channel, a millimeter wave high frequency channel, a low orbit satellite link channel and a space laser communication channel.
- 4. The deduction method according to claim 1, wherein the completion of the two-domain synchronous simulation scheduling specifically comprises: Establishing a data transmission channel between a physical communication domain and a virtual communication domain, and executing bidirectional synchronization on network fluctuation of the physical communication domain and simulation state of the virtual communication domain based on a real-time state updating mechanism of the digital twin body of the communication environment, so that the virtual communication domain can reconstruct communication situation of the physical communication domain in real time; the dual-domain synchronous simulation scheduling adopts a mixed synchronous mechanism combining event triggering and periodic triggering, and specifically comprises the following steps: For the conventional fluctuation of the channel parameters, a period triggering mode of a preset period is adopted to update the state; For network topology mutation, link interruption or sudden strong interference event, an event triggering mode is adopted to immediately start the synchronous flow.
- 5. The deduction method according to claim 1, wherein the generating an adaptive channel fusion path by an algorithm engine in the virtual communication domain according to the current communication situation specifically comprises: Generating an adaptive channel fusion path for a physical system through an algorithm engine based on current link load distribution, channel stability change trend, node movement track and electromagnetic interference condition in the virtual communication domain, wherein the adaptive channel fusion path at least comprises channel selection logic, a link switching threshold value, a link backup scheme and a load sharing proportion; the performing multi-channel adaptive fusion path generation specifically includes: estimating the relative movement trend among the communication nodes, and predicting the influence of Doppler frequency shift on channel quality; analyzing dynamic shielding change in physical environment elements, and calculating the probability of the line-of-sight link becoming a non-line-of-sight link; and identifying the spectrum distribution condition of the interference source, calculating the signal-to-interference-and-noise ratio of each channel, and evaluating the result.
- 6. The deduction method according to claim 1, wherein the development of multiple rounds of forward-looking simulation deduction is performed by predicting the communication environment change in a future preset time period based on a current communication situation by utilizing the time acceleration characteristic of the communication environment digital twin body, loading the adaptive channel fusion path in the virtual communication domain to execute multiple rounds of forward-looking deduction, and outputting communication performance indexes of different paths under different environment evolution paths to determine an optimal fusion path; The multi-scene divergent deduction mode is adopted when the multi-round forward looking deduction is executed, and the method specifically comprises the following steps: Constructing a high electromagnetic interference scene, and checking the anti-interference performance of a path; constructing a high concurrency business load scene, and checking the throughput limit of a path; constructing a weak coverage and blind area scene, and checking the link maintenance capability of a path; and constructing a link fast Rayleigh fading scene, and checking the switching response speed of the path.
- 7. The deduction method according to claim 1, wherein the converting, by the instruction issuing interface, the deduction determined optimal fusion path into an instruction write back of a network control instruction to the physical communication system is used for fine-grained regulation and control of the physical domain communication system, and the instruction write back includes: the channel switching instruction is used for controlling the radio frequency front end to switch the working frequency band or the communication system; A power adjustment instruction for dynamically adjusting the transmit power of the transmitter to balance coverage and energy consumption; A routing adjustment instruction, configured to update a routing table of a network layer to avoid a congestion link; And the instruction write-back link redundancy configuration instruction is used for opening or closing the standby link so as to realize multiple selection and receiving or load sharing.
- 8. The deduction method according to claim 1, characterized in that the method further comprises the step of: and collecting actual network performance feedback data after the physical communication domain executes regulation and control, calculating deviation between a deduction result and an actual result, transmitting the deviation back to a digital twin communication environment model as a correction factor, and performing rolling iteration optimization on a multi-channel parameter library, simulation model parameters and fusion path generation rules.
- 9. The deduction method according to claim 8, characterized in that the method further comprises the step of: The step of collecting the actual network performance feedback data after the physical communication domain executes regulation comprises the following steps: Collecting the instant error rate and the packet loss rate of a physical link as quality evaluation data; measuring round trip delay and jitter data between nodes; counting the number of times of channel connection failure and the switching failure rate; The data are used as input basis for digital twin model calibration and algorithm iteration; the step of returning the deviation as a correction factor to the digital twin communication environment model, and the step of performing rolling iterative optimization on the multi-channel parameter library, the simulation model parameters and the fusion path generation rule comprises the following steps: updating a simulation algorithm module, and correcting a weight coefficient of a deduction algorithm according to the prediction deviation; Updating the channel characteristic parameters, and correcting the fading factors of the virtual channels according to the measured data; updating the topology structure, and redrawing the virtual network topology in real time according to the new addition or removal of the physical nodes; the long-term self-evolution of the communication environment digital twin is realized through the updating.
- 10. The digital twin-drive-based multichannel converged network communication simulation deduction system is applied to the digital twin-drive-based multichannel converged network communication simulation deduction method as set forth in any one of claims 1 to 9, and is characterized by comprising the following steps: The digital twin modeling module is configured to collect data in the operation of a real physical network through a sensor and a network probe, wherein the data comprises channel state information, node topology data, flow behavior characteristics and physical environment elements, the data is mapped to a virtual space by using a virtual-real mapping technology, and a digital twin communication environment model corresponding to the physical communication network in real time is established; The channel resource library management module is configured to analyze heterogeneous channel characteristics of wireless, optical fiber, satellite and relay links based on the digital twin communication environment model, construct a dynamic multi-channel parameter set comprising channel bandwidth, delay, bit error rate and anti-interference capability, and calibrate and classify the availability, stability and capacity limit of each channel under different simulation scenes; The double-domain synchronous scheduling module is configured to establish a data transmission channel between a physical communication domain and a virtual communication domain, and based on a real-time state updating mechanism of the digital twin body of the communication environment, the double-domain synchronous scheduling module performs bidirectional synchronization on network fluctuation of the physical communication domain and a simulation state of the virtual communication domain, so that the virtual communication domain can reconstruct a communication situation of the physical communication domain in real time; the fusion path generation module is configured to generate an adaptive channel fusion path for a physical system through an algorithm engine according to current link load distribution, channel stability change trend, node movement track and electromagnetic interference condition in the virtual communication domain, wherein the adaptive channel fusion path at least comprises channel selection logic, a link switching threshold value, a link backup scheme and a load sharing proportion; The forward-looking deduction module is configured to predict the communication environment change in a future preset time period based on the current communication situation by utilizing the time acceleration characteristic of the communication environment digital twin body, load the adaptive channel fusion path in the virtual communication domain to execute multiple rounds of forward-looking deduction, and output the communication performance indexes of different paths under different environment evolution paths so as to determine the optimal fusion path; The physical domain regulation and control execution module is configured to convert the deduced and determined optimal fusion path into a network control instruction through the instruction issuing interface, write the network control instruction back to the physical communication system, drive the physical network equipment to execute dynamic regulation and control, and monitor the regulated network operation result in real time.
Description
Digital twin-drive-based multichannel converged network communication simulation deduction method and system Technical Field The invention relates to the technical field of network communication and digital twin, in particular to a multichannel fusion network communication simulation deduction method and system based on digital twin driving. Background With the rapid convergence of wireless communication, satellite communication, optical fiber communication and various heterogeneous networks in application fields, multichannel parallel communication has become a main technical direction of enhancing reliability, improving bandwidth and guaranteeing continuity of key services of modern communication systems. In the scenes of mobile communication, complex industrial network, emergency communication guarantee, unmanned system cooperative communication and the like, a communication link is always in a dynamic change state, and the channel quality can be influenced by multiple factors such as mobile environment, shielding structure, interference source change, service load fluctuation and the like. The existing network simulation technology generally relies on a preset model or static scene data to carry out communication calculation, and is difficult to meet simulation requirements of real-time performance, high dynamic performance and complex interaction behaviors in a multi-channel fusion system. In recent years, digital twin technology has been introduced in the field of communications for constructing virtual mirror models that map the state of a real communication system. The digital twin model can provide a relatively real reference for communication performance analysis and path formulation by digitally presenting communication nodes, link states, topology changes and environmental factors. However, the existing digital twin communication model still mainly stays at the level of 'real-time mapping' or 'near real-time simulation', and has the core function of reproducing the current state or analyzing the short-term trend, and cannot realize the prospective deduction of the future communication situation. Specifically, the prior art mainly has the following disadvantages: First, lack of future-oriented predictive capability: most of the existing communication simulation is 'current state reproduction', and the changes of channel fading, node movement, interference increase or service peak value and the like in a period of time in the future cannot be predicted according to the development trend of a physical scene, so that a communication path cannot be formulated in advance. Second, no deduction can be made for future multi-scene evolution: the current system is more based on fixed parameters or a small number of static configurations for simulation, and has no ability to construct multiple possible future evolution paths in digital twin virtual space for deduction, such as high load burst, rapid occlusion change, severe environmental disturbance, etc. Third, the multi-channel fusion path lacks foresight: Existing multi-channel fusion methods typically make decisions based on current instantaneous link quality, but link behavior tends to have significant time correlation and trends, which make current paths difficult to accommodate for impending changes, resulting in frequent handoffs, path lags, or unreasonable resource allocation. Fourth, emulation-driven communication regulation cannot form a closed loop: The existing simulation and real communication system has limited interaction modes, is mostly configured and adjusted by means of manual analysis results, and lacks a mechanism capable of returning deduction information to a physical system to form an automatic regulation closed loop. Fifth, the evolution capability of the digital twin model is insufficient: Most of the existing digital twin communication models are built by depending on fixed scenes, and model parameters, channel characteristics and environment data are not updated timely enough, so that long-term evolution rules or abrupt change behaviors of the communication environment are difficult to reflect. Based on the above problems, the prior art cannot support the future-oriented network communication deduction, path advanced planning and active regulation and control capability of the multi-channel fusion system. In the highly dynamic, complex and changeable application scene, the technical scheme which has the prediction capability, can carry out future state simulation deduction and can drive a physical system to carry out real-time path optimization is lacking. Therefore, a multi-channel fusion network communication simulation deduction method and a system based on digital twin driving are provided. Disclosure of Invention The invention aims to provide a digital twin-drive-based multichannel fusion network communication simulation deduction method and a digital twin-drive-based multichannel fusion network communication simulation ded