Intelligent routing control method and system based on dual-mode communication terminal, and medium

Abstract

The invention provides an intelligent routing control method and system based on a dual-mode communication terminal and a medium. The method comprises the following steps: acquiring an ad-hoc network state flag bit of a dual-mode communication terminal, comparing the ad-hoc network state flag bit with a preset ad-hoc network state flag bit set value, if the ad-hoc network state flag bit is consistent with the preset ad-hoc network state flag bit set value, processing according to communication quality monitoring data and node load data of each communication link of an ad-hoc network to obtain a link state evaluation index, and if the link state evaluation index is consistent with the preset ad-hoc network state flag bit if the Ad hoc network state flag bits are inconsistent, channel monitoring data corresponding to all channels of the low-orbit satellite are acquired, a target channel is determined, further processing is carried out to generate flow prediction data, flow distribution is carried out on the target channel according to the flow prediction data, and service data transmission is carried out; therefore, intelligent routing control of the dual-mode communication terminal is realized.

Description

Technical Field

[0001] The present application relates to the technical field of big data and intelligent routing control, and in particular, to an intelligent routing control method, system and medium based on a dual-mode communication terminal. Background Art

[0002] A dual-mode communication terminal is a terminal device that integrates satellite communication and ground wireless ad hoc network communication functions. Its main feature is that it can obtain cluster routing information in real time and realize autonomous seamless switching between satellite channels and ground ad hoc network channels to meet diverse communication needs. Since dual-mode communication terminals involve switching and collaborative work of two different communication modes, traditional routing control methods cannot effectively manage their communication paths. In a dual-mode communication environment, data needs to select an adaptive transmission path based on factors such as network conditions and communication quality. However, there is currently a lack of a technology that can autonomously switch the modes of dual-mode communication terminals and select and distribute traffic for communication paths under different communication modes based on factors such as communication quality, node load, and network status.

[0003] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0004] The purpose of the present application is to provide an intelligent routing control method, system and medium based on a dual-mode communication terminal, select a communication mode according to a self-organizing network state flag, and then evaluate the communication link according to the communication quality and node load in the self-organizing network communication mode to obtain the best link in the self-organizing network mode. In the low-orbit satellite communication mode, the target channel is screened out according to the channel monitoring data of the low-orbit satellite and the traffic is allocated to the target channel, so as to realize the technology of autonomous communication mode switching, intelligent path selection and traffic allocation of the dual-mode communication terminal.

[0005] The present application also provides an intelligent routing control method based on a dual-mode communication terminal, comprising the following steps:

[0006] Obtaining the self-organizing network status flag of the dual-mode communication terminal, and comparing the self-organizing network status flag with a preset self-organizing network status flag setting value;

[0007] If the comparison of the status flag bits of the ad hoc network is consistent, the communication quality monitoring data and node load data of each communication link of the ad hoc network are obtained, and the node load impact factor is obtained according to the node load data processing;

[0008] Obtaining a link status evaluation index according to the communication quality monitoring data and the node load impact factor, and determining a target link for business data transmission;

[0009] If the comparison of the self-organizing network status flag bits is inconsistent, the channel monitoring data corresponding to each channel of the low-orbit satellite is obtained and the target channel is determined;

[0010] The acquired real-time monitoring data of the dual-mode communication terminal and the real-time network congestion data of the target channel are input into the trained traffic prediction model to generate traffic prediction data, and the traffic is allocated to the target channel according to the traffic prediction data, and the business data is transmitted.

[0011] Optionally, in the intelligent routing control method based on the dual-mode communication terminal described in the present application, if the comparison of the state flag bits of the ad hoc network is consistent, the communication quality monitoring data and the node load data of each communication link of the ad hoc network are obtained, and the node load influence factor is obtained according to the node load data processing, including:

[0012] The communication quality monitoring data includes transmission rate, packet loss rate, communication delay time and bandwidth utilization;

[0013] The node load data includes data transmission volume, CPU usage and memory occupancy;

[0014] The node load impact factor is obtained according to the data transmission volume, CPU usage and memory occupancy rate.

[0015] Optionally, in the intelligent routing control method based on the dual-mode communication terminal described in the present application, obtaining a link state evaluation index according to the communication quality monitoring data and the node load influence factor, and determining a target link for business data transmission, includes:

[0016] Processing is performed according to the transmission rate, packet loss rate, communication delay time, bandwidth utilization and the node load impact factor to obtain a link state evaluation index;

[0017] Sort the link state evaluation indexes corresponding to the links, and select the link with the largest link state evaluation index as the target link;

[0018] The dual-mode communication terminal sends the service data to the target communication terminal through the target link.

[0019] Optionally, in the intelligent routing control method based on the dual-mode communication terminal described in the present application, if the comparison of the self-organizing network status flag bits is inconsistent, obtaining channel monitoring data corresponding to each channel of the low-orbit satellite and determining the target channel includes:

[0020] If the comparison of the self-organizing network status flag bits is inconsistent, the channel monitoring data corresponding to each channel of the low-orbit satellite is obtained;

[0021] The channel monitoring data includes signal strength data, signal-to-noise ratio data, bit error rate and channel occupancy rate;

[0022] Obtaining a channel state assessment index corresponding to each channel according to the signal strength data, signal-to-noise ratio data, bit error rate and channel occupancy rate;

[0023] The channel state assessment index is compared with a preset channel state assessment index threshold, and a channel corresponding to a channel state assessment index that meets the preset threshold comparison requirement is taken as a target channel.

[0024] Optionally, in the intelligent routing control method based on the dual-mode communication terminal described in the present application, the acquired real-time monitoring data of the dual-mode communication terminal and the real-time network congestion data of the target channel are input into a trained traffic prediction model for processing to generate traffic prediction data, traffic is allocated to the target channel according to the traffic prediction data, and service data is transmitted, including:

[0025] Obtain historical traffic data of the target channel and its corresponding terminal communication behavior data and historical network congestion data;

[0026] The historical network congestion data includes historical transmission rate, historical signal strength data, historical network congestion time data and historical network congestion degree data, and the terminal communication behavior data includes access type data, access time data and terminal location data;

[0027] Model training is performed based on the historical traffic data combined with the historical transmission rate, historical signal strength data, historical network congestion time data, historical network congestion degree data, and the access type data, access time data, and terminal location data to generate a traffic prediction model;

[0028] Acquire real-time monitoring data of dual-mode communication terminals and real-time network congestion data of target channels, the real-time monitoring data of dual-mode communication terminals includes real-time access type data, real-time access time data and real-time terminal location data, and the real-time network congestion data of target channels includes real-time signal strength data, real-time transmission rate data, real-time network congestion time data and real-time network congestion degree data;

[0029] Input the real-time access type data, real-time access time data, real-time terminal location data, and the real-time signal strength data, real-time transmission rate data, real-time network congestion time data, and real-time network congestion degree data into the traffic prediction model for processing to obtain traffic prediction data;

[0030] The target channel is allocated traffic according to the traffic prediction data, and the service data is sent to the target communication terminal.

[0031] Optionally, the intelligent routing control method based on the dual-mode communication terminal described in the present application further includes:

[0032] Processing the link status evaluation index of each communication link of the ad hoc network to obtain a link fault evaluation index;

[0033] A channel fault assessment index is obtained by processing the channel state assessment index of each channel of the low-orbit satellite.

[0034] Optionally, the intelligent routing control method based on the dual-mode communication terminal described in the present application further includes:

[0035] Compare the link fault assessment index with a preset link fault assessment index threshold to obtain a link fault assessment threshold comparison result, and compare the channel fault assessment index with a preset channel fault assessment index threshold to obtain a channel fault assessment threshold comparison result;

[0036] If the link fault assessment threshold comparison result or the channel fault assessment threshold comparison result does not meet the preset threshold comparison result requirement, the self-organizing network status flag bit is compared with the preset self-organizing network status flag bit setting value, and whether to update the self-organizing network status flag bit is determined according to the comparison result;

[0037] If the link fault assessment threshold comparison result and the channel fault assessment threshold comparison result both fail to meet the preset threshold comparison result requirements, a fault alarm is issued.

[0038] In a second aspect, the present application provides an intelligent routing control system based on a dual-mode communication terminal, the system comprising: a memory and a processor, the memory storing a program of an intelligent routing control method based on a dual-mode communication terminal, the program of the intelligent routing control method based on a dual-mode communication terminal being executed by the processor to implement the following steps:

[0039] Obtaining the self-organizing network status flag of the dual-mode communication terminal, and comparing the self-organizing network status flag with a preset self-organizing network status flag setting value;

[0040] If the comparison of the status flag bits of the ad hoc network is consistent, the communication quality monitoring data and node load data of each communication link of the ad hoc network are obtained, and the node load impact factor is obtained according to the node load data processing;

[0041] Obtaining a link status evaluation index according to the communication quality monitoring data and the node load impact factor, and determining a target link for business data transmission;

[0042] If the comparison of the self-organizing network status flag bits is inconsistent, the channel monitoring data corresponding to each channel of the low-orbit satellite is obtained and the target channel is determined;

[0043] The acquired real-time monitoring data of the dual-mode communication terminal and the real-time network congestion data of the target channel are input into the trained traffic prediction model to generate traffic prediction data, and the traffic is allocated to the target channel according to the traffic prediction data, and the business data is transmitted.

[0044] Optionally, in the intelligent routing control system based on the dual-mode communication terminal described in the present application, if the comparison of the self-organizing network status flag bits is consistent, the communication quality monitoring data and node load data of each communication link of the self-organizing network are obtained, and the node load influence factor is obtained according to the node load data processing, including:

[0045] The communication quality monitoring data includes transmission rate, packet loss rate, communication delay time and bandwidth utilization;

[0046] The node load data includes data transmission volume, CPU usage and memory occupancy;

[0047] The node load impact factor is obtained according to the data transmission volume, CPU usage and memory occupancy rate.

[0048] In a third aspect, the present application also provides a computer-readable storage medium, in which a program for an intelligent routing control method based on a dual-mode communication terminal is stored. When the program for the intelligent routing control method based on a dual-mode communication terminal is executed by a processor, the steps of the intelligent routing control method based on a dual-mode communication terminal as described in any one of the above items are implemented.

[0049] From the above, it can be seen that the intelligent routing control method, system and medium based on the dual-mode communication terminal provided by the present application select the communication mode according to the self-organizing network status flag, and then evaluate the communication link according to the communication quality and node load in the self-organizing network communication mode to obtain the best link in the self-organizing network mode. In the low-orbit satellite communication mode, the target channel is screened out according to the channel monitoring data of the low-orbit satellite and the traffic is allocated to the target channel, so as to realize the technology of autonomous communication mode switching, intelligent path selection and traffic allocation of the dual-mode communication terminal.

[0050] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0052] Figure 1 A flowchart of an intelligent routing control method based on a dual-mode communication terminal provided in an embodiment of the present application;

[0053] Figure 2 A flow chart of determining a target link of an intelligent routing control method based on a dual-mode communication terminal provided in an embodiment of the present application;

[0054] Figure 3 A flow chart of determining a target channel of an intelligent routing control method based on a dual-mode communication terminal provided in an embodiment of the present application;

[0055] Figure 4 A flowchart of generating traffic prediction data for an intelligent routing control method based on a dual-mode communication terminal provided in an embodiment of the present application. DETAILED DESCRIPTION

[0056] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0057] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0058] Please refer to Figure 1 , Figure 1The flowchart of the intelligent routing control method based on the dual-mode communication terminal in some embodiments of the present application. The intelligent routing control method based on the dual-mode communication terminal is used in terminal devices, such as computers, mobile phone terminals, etc. The intelligent routing control method based on the dual-mode communication terminal includes the following steps:

[0059] S11, obtaining the self-organizing network status flag of the dual-mode communication terminal, and comparing the self-organizing network status flag with a preset self-organizing network status flag setting value;

[0060] S12. If the comparison of the status flag bits of the ad hoc network is consistent, the communication quality monitoring data and node load data of each communication link of the ad hoc network are obtained, and the node load impact factor is obtained according to the node load data processing;

[0061] S13, obtaining a link status evaluation index according to the communication quality monitoring data and the node load impact factor, and determining a target link for business data transmission;

[0062] S14. If the comparison of the self-organizing network status flag bits is inconsistent, the channel monitoring data corresponding to each channel of the low-orbit satellite is obtained and the target channel is determined;

[0063] S15. Input the acquired real-time monitoring data of the dual-mode communication terminal and the real-time network congestion data of the target channel into the trained traffic prediction model to generate traffic prediction data, allocate traffic to the target channel according to the traffic prediction data, and transmit business data.

[0064] It should be noted that the communication mode is first selected according to the ad hoc network status flag. The ad hoc network status flag is used to indicate the network connection status of the dual-mode communication terminal and the ad hoc network. If the ad hoc network status flag is inconsistent with the set value, it means that the dual-mode communication terminal is out of the ad hoc network and adopts low-orbit satellite communication. If the comparison is consistent, it means that the dual-mode communication terminal is located in the ad hoc network and ad hoc network communication can be adopted. In the ad hoc network communication mode, the communication link is evaluated according to the communication quality and node load to obtain the best link in the ad hoc network mode. In the low-orbit satellite communication mode, the target channel is screened out according to the channel monitoring data of the low-orbit satellite and the traffic is allocated to the target channel, so as to realize the technology of autonomous communication mode switching, intelligent path selection and traffic allocation of the dual-mode communication terminal.

[0065] According to an embodiment of the present invention, if the comparison of the self-organizing network status flag bits is consistent, the communication quality monitoring data and node load data of each communication link of the self-organizing network are obtained, and the node load impact factor is obtained according to the node load data processing, including:

[0066] The communication quality monitoring data includes transmission rate, packet loss rate, communication delay time and bandwidth utilization;

[0067] The node load data includes data transmission volume, CPU usage and memory occupancy;

[0068] The node load impact factor is obtained according to the data transmission volume, CPU usage and memory occupancy rate.

[0069] It should be noted that, in this embodiment, if the self-organizing network status flag is consistent with the preset self-organizing network status flag setting value, it means that the dual-mode communication terminal is located in the self-organizing network and can use the self-organizing network for communication. In order to evaluate the communication link according to the link communication quality and node load of the self-organizing network, it is necessary to obtain communication quality monitoring data and node load data, and obtain the node load impact factor according to the data transmission volume, CPU usage rate and memory occupancy rate;

[0070] The calculation formula of the node load impact factor is:

[0071]

[0072] Among them, r s is the node load impact factor, y p 、u r and c q are data transmission volume, CPU usage rate and memory occupancy rate respectively, and α, β1 and β2 are preset characteristic coefficients respectively (which can be obtained by querying the preset dual-mode communication terminal intelligent routing control platform database).

[0073] Please refer to Figure 2 , Figure 2 The flowchart of determining the target link of the intelligent routing control method based on the dual-mode communication terminal in some embodiments of the present application. According to the embodiment of the present invention, the link state evaluation index is obtained according to the communication quality monitoring data and the node load influence factor, and the target link is determined for business data transmission, including:

[0074] S21, performing processing according to the transmission rate, packet loss rate, communication delay time, bandwidth utilization and the node load impact factor to obtain a link state evaluation index;

[0075] S22, sorting the link state evaluation indexes corresponding to the links, and selecting the link with the largest link state evaluation index as the target link;

[0076] S23. The dual-mode communication terminal sends the service data to the target communication terminal through the target link.

[0077] It should be noted that the link status is evaluated based on the communication quality monitoring data to obtain a link status evaluation index;

[0078] The calculation formula of the link state evaluation index is:

[0079]

[0080] Among them, w h is the link state assessment index, v a , l t ,t h , b h and r s are transmission rate, packet loss rate, communication delay time, bandwidth utilization and node load influencing factors respectively; χ, δ, λ1, λ2 and λ3 are preset characteristic coefficients respectively (which can be obtained by querying the preset dual-mode communication terminal intelligent routing control platform database).

[0081] Please refer to Figure 3 , Figure 3 The flowchart of the method for determining the target channel of the intelligent routing control method based on the dual-mode communication terminal in some embodiments of the present application. According to the embodiment of the present invention, if the comparison of the self-organizing network status flag is inconsistent, the channel monitoring data corresponding to each channel of the low-orbit satellite is obtained and the target channel is determined, including:

[0082] S31. If the comparison of the self-organizing network status flag bits is inconsistent, the channel monitoring data corresponding to each channel of the low-orbit satellite is obtained;

[0083] S32, the channel monitoring data includes signal strength data, signal-to-noise ratio data, bit error rate and channel occupancy rate;

[0084] S33, obtaining a channel state assessment index corresponding to each channel according to the signal strength data, signal-to-noise ratio data, bit error rate and channel occupancy rate;

[0085] S34: Compare the channel state assessment index with a preset channel state assessment index threshold, and take the channel corresponding to the channel state assessment index that meets the preset threshold comparison requirement as the target channel.

[0086] It should be noted that, in this embodiment, if the self-organizing network state flag is inconsistent with the preset self-organizing network state flag setting value, it means that the dual-mode communication terminal is outside the range of the self-organizing network and needs to use low-orbit satellite communication. The channel state evaluation is performed based on the signal strength data, signal-to-noise ratio data, bit error rate and channel occupancy rate. The channel occupancy rate refers to the ratio of the amount of data transmitted in the channel to the total capacity of the channel. The calculation formula of the channel state evaluation index is:

[0087]

[0088] Among them, w x is the channel state assessment index, s h 、n r de and p r They are signal strength data, signal-to-noise ratio data, bit error rate and channel occupancy rate, respectively. ε1 and ε2 are respectively preset characteristic coefficients (which can be obtained by querying the preset dual-mode communication terminal intelligent routing control platform database).

[0089] Please refer to Figure 4 , Figure 4 The flow chart of generating traffic prediction data of the intelligent routing control method based on the dual-mode communication terminal in some embodiments of the present application. According to the embodiment of the present invention, the acquired real-time monitoring data of the dual-mode communication terminal and the real-time network congestion data of the target channel are input into the trained traffic prediction model for processing to generate traffic prediction data, traffic is allocated to the target channel according to the traffic prediction data, and service data is transmitted, including:

[0090] S41, obtaining historical traffic data of the target channel and its corresponding terminal communication behavior data and historical network congestion data;

[0091] S42, the historical network congestion data includes historical transmission rate, historical signal strength data, historical network congestion time data and historical network congestion degree data, and the terminal communication behavior data includes access type data, access time data and terminal location data;

[0092] S43, performing model training according to the historical traffic data combined with the historical transmission rate, historical signal strength data, historical network congestion time data, historical network congestion degree data, and the access type data, access time data, and terminal location data to generate a traffic prediction model;

[0093] S44, obtaining real-time monitoring data of the dual-mode communication terminal and real-time network congestion data of the target channel, the real-time monitoring data of the dual-mode communication terminal including real-time access type data, real-time access time data and real-time terminal location data, and the real-time network congestion data of the target channel including real-time signal strength data, real-time transmission rate data, real-time network congestion time data and real-time network congestion degree data;

[0094] S45, inputting the real-time access type data, real-time access time data, real-time terminal location data, and the real-time signal strength data, real-time transmission rate data, real-time network congestion time data, and real-time network congestion degree data into the traffic prediction model for processing to obtain traffic prediction data;

[0095] S46. Allocate traffic to the target channel according to the traffic prediction data, and send the service data to the target communication terminal.

[0096] It should be noted that in order to reasonably allocate resources to the target channel, a traffic prediction model is trained and generated based on the historical traffic data of the target channel and its corresponding terminal communication behavior data and historical network congestion data, and traffic prediction is performed based on the traffic prediction model.

[0097] According to an embodiment of the present invention, it also includes:

[0098] Processing the link status evaluation index of each communication link of the ad hoc network to obtain a link fault evaluation index;

[0099] A channel fault assessment index is obtained by processing the channel state assessment index of each channel of the low-orbit satellite.

[0100] It should be noted that the link fault assessment index is obtained by processing the link status assessment index of each communication link in the ad hoc network;

[0101] The calculation formula of the link fault assessment index is:

[0102]

[0103] Among them, k v is the link failure assessment index, i=1...,n, n represents the number of communication links, w hi is the link state evaluation index corresponding to the i-th communication link, ξ i is a preset characteristic coefficient (which can be obtained by querying the preset dual-mode communication terminal intelligent routing control platform database);

[0104] A channel fault assessment index is obtained by processing the channel state assessment index of each channel of the low-orbit satellite;

[0105]

[0106] Among them, k s is the channel fault assessment index, j = 1..., m, m represents the number of low-orbit satellite channels, w xj is the channel state evaluation index corresponding to the jth channel, ψ j is a preset characteristic coefficient (which can be obtained by querying the preset dual-mode communication terminal intelligent routing control platform database).

[0107] According to an embodiment of the present invention, it also includes:

[0108] Compare the link fault assessment index with a preset link fault assessment index threshold to obtain a link fault assessment threshold comparison result, and compare the channel fault assessment index with a preset channel fault assessment index threshold to obtain a channel fault assessment threshold comparison result;

[0109] If the link fault assessment threshold comparison result or the channel fault assessment threshold comparison result does not meet the preset threshold comparison result requirement, the self-organizing network status flag bit is compared with the preset self-organizing network status flag bit setting value, and whether to update the self-organizing network status flag bit is determined according to the comparison result;

[0110] If the link fault assessment threshold comparison result and the channel fault assessment threshold comparison result both fail to meet the preset threshold comparison result requirements, a fault alarm is issued.

[0111] It should be noted that, in this embodiment, if the link fault assessment threshold comparison result does not meet the preset threshold comparison result requirements, and the channel fault assessment threshold comparison result meets the preset threshold comparison result requirements, it means that a communication failure occurs in the ad hoc network, and the ad hoc network state flag is compared with the preset ad hoc network state flag setting value. If the comparison is consistent, it means that the ad hoc network is currently in a communication state, and the ad hoc network state flag needs to be updated to use low-orbit satellite communication; if the channel fault assessment threshold comparison result does not meet the preset threshold comparison result requirements, and the link fault assessment threshold comparison result meets the preset threshold comparison result requirements, it means that a communication failure occurs in the low-orbit satellite, and the ad hoc network state flag is compared with the preset ad hoc network state flag setting value. If the comparison is inconsistent, it means that the communication state is currently in a low-orbit satellite communication state, and the ad hoc network state flag is updated. The specific implementation is as follows:

[0112] If the link fault assessment threshold comparison result does not meet the preset threshold comparison result requirement, and the channel fault assessment threshold comparison result meets the preset threshold comparison result requirement, the self-organizing network status flag bit is compared with the preset self-organizing network status flag bit setting value. If the comparison is consistent, the self-organizing network status flag bit is updated. If the comparison is inconsistent, no processing is performed;

[0113] If the channel fault assessment threshold comparison result does not meet the preset threshold comparison result requirements, and the link fault assessment threshold comparison result meets the preset threshold comparison result requirements, the self-organizing network status flag is compared with the preset self-organizing network status flag setting value. If the comparison is inconsistent, the self-organizing network status flag is updated. If the comparison is consistent, no processing is performed.

[0114] It is worth mentioning that according to an embodiment of the present invention, it also includes:

[0115] Perform performance tests on dual-mode communication terminals to obtain performance test data, including dual-mode switching time data, dual-mode switching success rate data, environmental adaptability data, and communication security data;

[0116] Processing the dual-mode switching time data, the dual-mode switching success rate data, the environmental adaptability data and the communication security data to obtain a performance evaluation index;

[0117] The performance evaluation index is compared with a preset performance evaluation index threshold, and if the threshold comparison result does not meet the preset threshold comparison result requirement, a performance abnormality reminder is issued to the dual-mode communication terminal.

[0118] It should be noted that the performance anomaly of the dual-mode communication terminal will affect the control effect of the intelligent routing. Therefore, the performance evaluation index is obtained by processing the data related to the dual-mode switching, environmental adaptability and communication security. Among them, the environmental adaptability data refers to the data used to measure the ability of the terminal to work normally in various physical environments and usage scenarios, and the communication security data is the data used to evaluate the security of data transmission of the terminal in two communication modes.

[0119] The calculation formula of the performance evaluation index is:

[0120]

[0121] Among them, σ v is the performance evaluation index, g u 、i w 、a k ,t s They are the dual-mode switching success rate data, environmental adaptability data, communication security data and dual-mode switching time data, μ1, μ2, μ3 and They are respectively preset characteristic coefficients (which can be obtained by querying the preset dual-mode communication terminal intelligent routing control platform database).

[0122] The present invention also discloses an intelligent routing control system based on a dual-mode communication terminal, comprising a memory and a processor, wherein the memory stores an intelligent routing control method program based on a dual-mode communication terminal, and when the intelligent routing control method program based on a dual-mode communication terminal is executed by the processor, the following steps are implemented:

[0123] Obtaining the self-organizing network status flag of the dual-mode communication terminal, and comparing the self-organizing network status flag with a preset self-organizing network status flag setting value;

[0124] If the comparison of the status flag bits of the ad hoc network is consistent, the communication quality monitoring data and node load data of each communication link of the ad hoc network are obtained, and the node load impact factor is obtained according to the node load data processing;

[0125] Obtaining a link status evaluation index according to the communication quality monitoring data and the node load impact factor, and determining a target link for business data transmission;

[0126] If the comparison of the self-organizing network status flag bits is inconsistent, the channel monitoring data corresponding to each channel of the low-orbit satellite is obtained and the target channel is determined;

[0127] The acquired real-time monitoring data of the dual-mode communication terminal and the real-time network congestion data of the target channel are input into the trained traffic prediction model to generate traffic prediction data, and the traffic is allocated to the target channel according to the traffic prediction data, and the business data is transmitted.

[0128] It should be noted that the communication mode is first selected according to the ad hoc network status flag. The ad hoc network status flag is used to indicate the network connection status of the dual-mode communication terminal and the ad hoc network. If the ad hoc network status flag is inconsistent with the set value, it means that the dual-mode communication terminal is out of the ad hoc network and adopts low-orbit satellite communication. If the comparison is consistent, it means that the dual-mode communication terminal is located in the ad hoc network and ad hoc network communication can be adopted. In the ad hoc network communication mode, the communication link is evaluated according to the communication quality and node load to obtain the best link in the ad hoc network mode. In the low-orbit satellite communication mode, the target channel is screened out according to the channel monitoring data of the low-orbit satellite and the traffic is allocated to the target channel, so as to realize the technology of autonomous communication mode switching, intelligent path selection and traffic allocation of the dual-mode communication terminal.

[0129] According to an embodiment of the present invention, if the comparison of the self-organizing network status flag bits is consistent, the communication quality monitoring data and node load data of each communication link of the self-organizing network are obtained, and the node load impact factor is obtained according to the node load data processing, including:

[0130] The communication quality monitoring data includes transmission rate, packet loss rate, communication delay time and bandwidth utilization;

[0131] The node load data includes data transmission volume, CPU usage and memory occupancy;

[0132] The node load impact factor is obtained according to the data transmission volume, CPU usage and memory occupancy rate.

[0133] It should be noted that, in this embodiment, if the self-organizing network status flag is consistent with the preset self-organizing network status flag setting value, it means that the dual-mode communication terminal is located in the self-organizing network and can use the self-organizing network for communication. In order to evaluate the communication link according to the link communication quality and node load of the self-organizing network, it is necessary to obtain communication quality monitoring data and node load data, and obtain the node load impact factor according to the data transmission volume, CPU usage rate and memory occupancy rate;

[0134] The calculation formula of the node load impact factor is:

[0135]

[0136] Among them, r s is the node load impact factor, y p 、u r and c qare data transmission volume, CPU usage rate and memory occupancy rate respectively, and α, β1 and β2 are preset characteristic coefficients respectively (which can be obtained by querying the preset dual-mode communication terminal intelligent routing control platform database).

[0137] According to an embodiment of the present invention, the processing according to the communication quality monitoring data and the node load impact factor to obtain a link state evaluation index and determining a target link for business data transmission includes:

[0138] Processing is performed according to the transmission rate, packet loss rate, communication delay time, bandwidth utilization and the node load impact factor to obtain a link state evaluation index;

[0139] Sort the link state evaluation indexes corresponding to the links, and select the link with the largest link state evaluation index as the target link;

[0140] The dual-mode communication terminal sends the service data to the target communication terminal through the target link.

[0141] It should be noted that the link status is evaluated based on the communication quality monitoring data to obtain a link status evaluation index;

[0142] The calculation formula of the link state evaluation index is:

[0143]

[0144] Among them, w h is the link state assessment index, v a , l t ,t h , b h and r s are transmission rate, packet loss rate, communication delay time, bandwidth utilization and node load influencing factors respectively; χ, δ, λ1, λ2 and λ3 are preset characteristic coefficients respectively (which can be obtained by querying the preset dual-mode communication terminal intelligent routing control platform database).

[0145] According to an embodiment of the present invention, if the comparison of the self-organizing network status flag bits is inconsistent, obtaining channel monitoring data corresponding to each channel of the low-orbit satellite and determining the target channel includes:

[0146] If the comparison of the self-organizing network status flag bits is inconsistent, the channel monitoring data corresponding to each channel of the low-orbit satellite is obtained;

[0147] The channel monitoring data includes signal strength data, signal-to-noise ratio data, bit error rate and channel occupancy rate;

[0148] Obtaining a channel state assessment index corresponding to each channel according to the signal strength data, signal-to-noise ratio data, bit error rate and channel occupancy rate;

[0149] The channel state assessment index is compared with a preset channel state assessment index threshold, and a channel corresponding to a channel state assessment index that meets the preset threshold comparison requirement is taken as a target channel.

[0150] It should be noted that, in this embodiment, if the self-organizing network state flag is inconsistent with the preset self-organizing network state flag setting value, it means that the dual-mode communication terminal is outside the range of the self-organizing network and needs to use low-orbit satellite communication. The channel state evaluation is performed based on the signal strength data, signal-to-noise ratio data, bit error rate and channel occupancy rate. The channel occupancy rate refers to the ratio of the amount of data transmitted in the channel to the total capacity of the channel. The calculation formula of the channel state evaluation index is:

[0151]

[0152] Among them, w x is the channel state assessment index, s h 、n r d e and p r They are signal strength data, signal-to-noise ratio data, bit error rate and channel occupancy rate, respectively. ε1 and ε2 are respectively preset characteristic coefficients (which can be obtained by querying the preset dual-mode communication terminal intelligent routing control platform database).

[0153] According to an embodiment of the present invention, the acquired real-time monitoring data of the dual-mode communication terminal and the real-time network congestion data of the target channel are input into a trained traffic prediction model for processing to generate traffic prediction data, traffic is allocated to the target channel according to the traffic prediction data, and service data is transmitted, including:

[0154] Obtain historical traffic data of the target channel and its corresponding terminal communication behavior data and historical network congestion data;

[0155] The historical network congestion data includes historical transmission rate, historical signal strength data, historical network congestion time data and historical network congestion degree data, and the terminal communication behavior data includes access type data, access time data and terminal location data;

[0156] Model training is performed based on the historical traffic data combined with the historical transmission rate, historical signal strength data, historical network congestion time data, historical network congestion degree data, and the access type data, access time data, and terminal location data to generate a traffic prediction model;

[0157] Acquire real-time monitoring data of dual-mode communication terminals and real-time network congestion data of target channels, the real-time monitoring data of dual-mode communication terminals includes real-time access type data, real-time access time data and real-time terminal location data, and the real-time network congestion data of target channels includes real-time signal strength data, real-time transmission rate data, real-time network congestion time data and real-time network congestion degree data;

[0158] Input the real-time access type data, real-time access time data, real-time terminal location data, and the real-time signal strength data, real-time transmission rate data, real-time network congestion time data, and real-time network congestion degree data into the traffic prediction model for processing to obtain traffic prediction data;

[0159] The target channel is allocated traffic according to the traffic prediction data, and the service data is sent to the target communication terminal.

[0160] It should be noted that in order to reasonably allocate resources to the target channel, a traffic prediction model is trained and generated based on the historical traffic data of the target channel and its corresponding terminal communication behavior data and historical network congestion data, and traffic prediction is performed based on the traffic prediction model.

[0161] According to an embodiment of the present invention, it also includes:

[0162] Processing the link status evaluation index of each communication link of the ad hoc network to obtain a link fault evaluation index;

[0163] A channel fault assessment index is obtained by processing the channel state assessment index of each channel of the low-orbit satellite.

[0164] It should be noted that the link fault assessment index is obtained by processing the link status assessment index of each communication link in the ad hoc network;

[0165] The calculation formula of the link fault assessment index is:

[0166]

[0167] Among them, k v is the link failure assessment index, i=1...,n, n represents the number of communication links, w hi is the link state evaluation index corresponding to the i-th communication link, ξ i is a preset characteristic coefficient (which can be obtained by querying the preset dual-mode communication terminal intelligent routing control platform database);

[0168] A channel fault assessment index is obtained by processing the channel state assessment index of each channel of the low-orbit satellite;

[0169]

[0170] Among them, k s is the channel fault assessment index, j = 1..., m, m represents the number of low-orbit satellite channels, w xj is the channel state evaluation index corresponding to the jth channel, ψ j is a preset characteristic coefficient (which can be obtained by querying the preset dual-mode communication terminal intelligent routing control platform database).

[0171] According to an embodiment of the present invention, it also includes:

[0172] Compare the link fault assessment index with a preset link fault assessment index threshold to obtain a link fault assessment threshold comparison result, and compare the channel fault assessment index with a preset channel fault assessment index threshold to obtain a channel fault assessment threshold comparison result;

[0173] If the link fault assessment threshold comparison result or the channel fault assessment threshold comparison result does not meet the preset threshold comparison result requirement, the self-organizing network status flag bit is compared with the preset self-organizing network status flag bit setting value, and whether to update the self-organizing network status flag bit is determined according to the comparison result;

[0174] If the link fault assessment threshold comparison result and the channel fault assessment threshold comparison result both fail to meet the preset threshold comparison result requirements, a fault alarm is issued.

[0175] It should be noted that, in this embodiment, if the link fault assessment threshold comparison result does not meet the preset threshold comparison result requirements, and the channel fault assessment threshold comparison result meets the preset threshold comparison result requirements, it means that a communication failure occurs in the ad hoc network, and the ad hoc network state flag is compared with the preset ad hoc network state flag setting value. If the comparison is consistent, it means that the ad hoc network is currently in a communication state, and the ad hoc network state flag needs to be updated to use low-orbit satellite communication; if the channel fault assessment threshold comparison result does not meet the preset threshold comparison result requirements, and the link fault assessment threshold comparison result meets the preset threshold comparison result requirements, it means that a communication failure occurs in the low-orbit satellite, and the ad hoc network state flag is compared with the preset ad hoc network state flag setting value. If the comparison is inconsistent, it means that the communication state is currently in a low-orbit satellite communication state, and the ad hoc network state flag is updated. The specific implementation is as follows:

[0176] If the link fault assessment threshold comparison result does not meet the preset threshold comparison result requirement, and the channel fault assessment threshold comparison result meets the preset threshold comparison result requirement, the self-organizing network status flag bit is compared with the preset self-organizing network status flag bit setting value. If the comparison is consistent, the self-organizing network status flag bit is updated. If the comparison is inconsistent, no processing is performed;

[0177] If the channel fault assessment threshold comparison result does not meet the preset threshold comparison result requirement, and the link fault assessment threshold comparison result meets the preset threshold comparison result requirement, the self-organizing network status flag bit is compared with the preset self-organizing network status flag bit setting value. If the comparison is inconsistent, the self-organizing network status flag bit is updated. If the comparison is consistent, no processing is performed;

[0178] If the link fault assessment threshold comparison result and the channel fault assessment threshold comparison result do not meet the preset threshold comparison result requirements, a fault alarm is issued;

[0179] If the link fault assessment threshold comparison result and the channel fault assessment threshold comparison result both meet the preset threshold comparison result requirements, no processing is performed.

[0180] It is worth mentioning that according to an embodiment of the present invention, it also includes:

[0181] Perform performance tests on dual-mode communication terminals to obtain performance test data, including dual-mode switching time data, dual-mode switching success rate data, environmental adaptability data, and communication security data;

[0182] Processing the dual-mode switching time data, the dual-mode switching success rate data, the environmental adaptability data and the communication security data to obtain a performance evaluation index;

[0183] The performance evaluation index is compared with a preset performance evaluation index threshold, and if the threshold comparison result does not meet the preset threshold comparison result requirement, a performance abnormality reminder is issued to the dual-mode communication terminal.

[0184] It should be noted that the performance anomaly of the dual-mode communication terminal will affect the control effect of the intelligent routing. Therefore, the performance evaluation index is obtained by processing the data related to the dual-mode switching, environmental adaptability and communication security. Among them, the environmental adaptability data refers to the data used to measure the ability of the terminal to work normally in various physical environments and usage scenarios, and the communication security data is the data used to evaluate the security of data transmission of the terminal in two communication modes.

[0185] The calculation formula of the performance evaluation index is:

[0186]

[0187] Among them, σ v is the performance evaluation index, g u 、i w 、a k ,t s They are the dual-mode switching success rate data, environmental adaptability data, communication security data and dual-mode switching time data, μ1, μ2, μ3 and They are respectively preset characteristic coefficients (which can be obtained by querying the preset dual-mode communication terminal intelligent routing control platform database).

[0188] A third aspect of the present invention provides a readable storage medium, in which a program of an intelligent routing control method based on a dual-mode communication terminal is stored. When the program of the intelligent routing control method based on a dual-mode communication terminal is executed by a processor, the steps of the intelligent routing control method based on a dual-mode communication terminal as described in any one of the above items are implemented.

[0189] The intelligent routing control method, system and medium based on the dual-mode communication terminal disclosed in the present invention select the communication mode according to the self-organizing network state flag bit, then evaluate the communication link according to the communication quality and node load in the self-organizing network communication mode, obtain the best link in the self-organizing network mode, and in the low-orbit satellite communication mode, screen out the target channel according to the channel monitoring data of the low-orbit satellite and distribute the traffic to the target channel, so as to realize the technology of autonomous communication mode switching, intelligent path selection and traffic distribution of the dual-mode communication terminal.

[0190] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0191] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0192] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0193] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0194] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. An intelligent routing control method based on a dual-mode communication terminal, characterized in that: The following steps are involved: Obtaining the self-organizing network status flag of the dual-mode communication terminal, and comparing the self-organizing network status flag with a preset self-organizing network status flag setting value; If the comparison of the status flag bits of the ad hoc network is consistent, the communication quality monitoring data and node load data of each communication link of the ad hoc network are obtained, and the node load impact factor is obtained according to the node load data processing; Obtaining a link status evaluation index according to the communication quality monitoring data and the node load impact factor, and determining a target link for business data transmission; If the comparison of the self-organizing network status flag bits is inconsistent, the channel monitoring data corresponding to each channel of the low-orbit satellite is obtained and the target channel is determined; The acquired real-time monitoring data of the dual-mode communication terminal and the real-time network congestion data of the target channel are input into the trained traffic prediction model to generate traffic prediction data, and the traffic is allocated to the target channel according to the traffic prediction data, and the business data is transmitted.

2. The intelligent routing control method based on a dual-mode communication terminal according to claim 1, characterized in that: If the comparison of the self-organizing network status flag bits is consistent, the communication quality monitoring data and node load data of each communication link of the self-organizing network are obtained, and the node load impact factor is obtained according to the node load data processing, including: The communication quality monitoring data includes transmission rate, packet loss rate, communication delay time and bandwidth utilization; The node load data includes data transmission volume, CPU usage and memory occupancy; The node load impact factor is obtained according to the data transmission volume, CPU usage and memory occupancy rate.

3. The intelligent routing control method based on the dual-mode communication terminal according to claim 2 is characterized in that: The obtaining of a link status evaluation index according to the communication quality monitoring data and the node load impact factor and determining a target link for business data transmission includes: Processing is performed according to the transmission rate, packet loss rate, communication delay time, bandwidth utilization and the node load impact factor to obtain a link state evaluation index; Sort the link state evaluation indexes corresponding to the links, and select the link with the largest link state evaluation index as the target link; The dual-mode communication terminal sends the service data to the target communication terminal through the target link.

4. The intelligent routing control method based on the dual-mode communication terminal according to claim 3 is characterized in that: If the comparison of the self-organizing network status flag bits is inconsistent, obtaining the channel monitoring data corresponding to each channel of the low-orbit satellite and determining the target channel includes: If the comparison of the self-organizing network status flag bits is inconsistent, the channel monitoring data corresponding to each channel of the low-orbit satellite is obtained; The channel monitoring data includes signal strength data, signal-to-noise ratio data, bit error rate and channel occupancy rate; Obtaining a channel state assessment index corresponding to each channel according to the signal strength data, signal-to-noise ratio data, bit error rate and channel occupancy rate; The channel state assessment index is compared with a preset channel state assessment index threshold, and a channel corresponding to a channel state assessment index that meets the preset threshold comparison requirement is taken as a target channel.

5. The intelligent routing control method based on the dual-mode communication terminal according to claim 4 is characterized in that: The method includes inputting the acquired real-time monitoring data of the dual-mode communication terminal and the real-time network congestion data of the target channel into the trained traffic prediction model to generate traffic prediction data, allocating traffic to the target channel according to the traffic prediction data, and transmitting service data, including: Obtain historical traffic data of the target channel and its corresponding terminal communication behavior data and historical network congestion data; The historical network congestion data includes historical transmission rate, historical signal strength data, historical network congestion time data and historical network congestion degree data, and the terminal communication behavior data includes access type data, access time data and terminal location data; Model training is performed based on the historical traffic data combined with the historical transmission rate, historical signal strength data, historical network congestion time data, historical network congestion degree data, and the access type data, access time data, and terminal location data to generate a traffic prediction model; Acquire real-time monitoring data of dual-mode communication terminals and real-time network congestion data of target channels, the real-time monitoring data of dual-mode communication terminals includes real-time access type data, real-time access time data and real-time terminal location data, and the real-time network congestion data of target channels includes real-time signal strength data, real-time transmission rate data, real-time network congestion time data and real-time network congestion degree data; Input the real-time access type data, real-time access time data, real-time terminal location data, and the real-time signal strength data, real-time transmission rate data, real-time network congestion time data, and real-time network congestion degree data into the traffic prediction model for processing to obtain traffic prediction data; The target channel is allocated traffic according to the traffic prediction data, and the service data is sent to the target communication terminal.

6. The intelligent routing control method based on the dual-mode communication terminal according to claim 5, characterized in that: Also includes: Processing the link status evaluation index of each communication link of the ad hoc network to obtain a link fault evaluation index; A channel fault assessment index is obtained by processing the channel state assessment index of each channel of the low-orbit satellite.

7. The intelligent routing control method based on a dual-mode communication terminal according to claim 6, characterized in that: Also includes: Compare the link fault assessment index with a preset link fault assessment index threshold to obtain a link fault assessment threshold comparison result, and compare the channel fault assessment index with a preset channel fault assessment index threshold to obtain a channel fault assessment threshold comparison result; If the link fault assessment threshold comparison result or the channel fault assessment threshold comparison result does not meet the preset threshold comparison result requirement, the self-organizing network status flag bit is compared with the preset self-organizing network status flag bit setting value, and whether to update the self-organizing network status flag bit is determined according to the comparison result; If the link fault assessment threshold comparison result and the channel fault assessment threshold comparison result both fail to meet the preset threshold comparison result requirements, a fault alarm is issued.

8. An intelligent routing control system based on a dual-mode communication terminal, characterized in that: The invention comprises a memory and a processor, wherein the memory stores a program of an intelligent routing control method based on a dual-mode communication terminal, and when the program of the intelligent routing control method based on a dual-mode communication terminal is executed by the processor, the following steps are implemented: Obtaining the self-organizing network status flag of the dual-mode communication terminal, and comparing the self-organizing network status flag with a preset self-organizing network status flag setting value; If the comparison of the status flag bits of the ad hoc network is consistent, the communication quality monitoring data and node load data of each communication link of the ad hoc network are obtained, and the node load impact factor is obtained according to the node load data processing; Obtaining a link status evaluation index according to the communication quality monitoring data and the node load impact factor, and determining a target link for business data transmission; If the comparison of the self-organizing network status flag bits is inconsistent, the channel monitoring data corresponding to each channel of the low-orbit satellite is obtained and the target channel is determined; The acquired real-time monitoring data of the dual-mode communication terminal and the real-time network congestion data of the target channel are input into the trained traffic prediction model to generate traffic prediction data, and the traffic is allocated to the target channel according to the traffic prediction data, and the business data is transmitted.

9. The intelligent routing control system based on dual-mode communication terminal according to claim 8, characterized in that: If the comparison of the self-organizing network status flag bits is consistent, the communication quality monitoring data and node load data of each communication link of the self-organizing network are obtained, and the node load impact factor is obtained according to the node load data processing, including: The communication quality monitoring data includes transmission rate, packet loss rate, communication delay time and bandwidth utilization; The node load data includes data transmission volume, CPU usage and memory occupancy; The node load impact factor is obtained according to the data transmission volume, CPU usage and memory occupancy rate.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores an intelligent routing control program based on a dual-mode communication terminal. When the intelligent routing control program based on a dual-mode communication terminal is executed by a processor, the steps of the intelligent routing control method based on a dual-mode communication terminal according to any one of claims 1 to 7 are implemented.

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