Satellite broadband ad hoc network converged communication method and system

Abstract

The invention discloses a converged communication method and system for a satellite broadband ad hoc network, and belongs to the technical field of wireless communication networks, and the method comprises the steps: obtaining a signal quality parameter of a satellite communication link and a distribution density parameter of ad hoc network nodes, and carrying out the feature extraction to generate a network state feature vector; generating a dynamic switching decision instruction in combination with a preset spectrum interference threshold value and a satellite coverage range parameter, executing dynamic switching operation of a satellite link and an ad hoc network link to generate a switching result parameter, performing routing weight distribution on a satellite transmission path and an ad hoc network relay node to generate a fusion routing path, and transmitting the fusion routing path to the ad hoc network. And carrying out priority split charging and encryption compression on the heterogeneous data stream to generate a self-adaptive transmission data packet. According to the method, network state feature vector extraction, dynamic switching decision instruction generation and fusion routing path allocation technologies are adopted, efficient cooperation of satellite and ad hoc network resources can be achieved in a complex electromagnetic environment and a dynamic topology scene, and the communication reliability and the spectrum utilization rate are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of wireless communication networks, and in particular to a satellite broadband self-organizing network fusion communication method and system. Background Art

[0002] The satellite communication and self-organizing network fusion technology is an important research direction in the field of wireless networks in recent years. The satellite network has the advantage of wide-area coverage and is suitable for remote areas and disaster emergency scenarios; the self-organizing network realizes flexible networking through multi-hop relaying, but is limited by the node coverage ability and spectrum resources.

[0003] The current mainstream technical solutions include a handover algorithm based on link state and a static routing strategy. The link handover between the satellite and the self-organizing network is realized through signal strength detection, which adopts a threshold decision mechanism. When the satellite signal is lower than the threshold, the self-organizing network link is switched. At the same time, data diversion is realized through a pre-configured routing table.

[0004] However, in the prior art, the dynamic handover delay between the satellite and the self-organizing network is relatively high, and it is difficult to adapt to sudden interference or node rapid movement scenarios, resulting in insufficient service continuity. Secondly, the spectrum interference detection only relies on historical data and cannot predict the change of interference sources in real time, and the effectiveness of alternative frequency points is insufficient. In addition, the traditional routing scheme does not consider the dynamic changes of node energy and coverage, and the multi-path cooperation efficiency is low. Summary of the Invention

[0005] To solve the above problems, the present invention provides a satellite broadband self-organizing network fusion communication method and system, which adopts technologies such as network state feature vector extraction, dynamic handover decision instruction generation, and fusion routing path allocation, and can realize the efficient cooperation of satellite and self-organizing network resources under complex electromagnetic environments and dynamic topology scenarios, significantly improving communication reliability and spectrum utilization rate.

[0006] The above object can be achieved by the following solutions:

[0007] A satellite broadband self-organizing network fusion communication method includes obtaining signal quality parameters of a satellite communication link and distribution density parameters of self-organizing network nodes to obtain network parameters, and performing feature extraction on the network parameters to generate a network state feature vector; generating a dynamic handover decision instruction according to the network state feature vector in combination with a preset spectrum interference threshold and satellite coverage range parameters; based on the dynamic handover decision instruction, performing a dynamic handover operation between the satellite link and the self-organizing network link to generate handover result parameters; performing routing weight allocation on the satellite transmission path and the self-organizing network relay nodes according to the handover result parameters to generate a fusion routing path; and performing priority packaging and encryption compression on heterogeneous data streams through the fusion routing path to generate an adaptive transmission data packet.

[0008] Optionally, the generation of the dynamic handover decision instruction includes: analyzing the spectrum occupancy rate of the network state feature vector to generate an interference distribution parameter; when it is detected that the interference distribution parameter exceeds a preset spectrum interference threshold, activating candidate satellite frequency point parameters in a preset emergency frequency library to obtain a frequency point handover queue; calculating the signal stability coefficient and transmission delay parameter of an alternative satellite link according to the frequency point handover queue to generate a first handover weight value; analyzing the energy reserve parameter and satellite coverage range parameter of the current ad-hoc network node to generate a second handover weight value; and comprehensively combining the first handover weight value and the second handover weight value to output a dynamic handover decision instruction.

[0009] Optionally, the method further includes: monitoring the electromagnetic interference intensity distribution in the satellite frequency band during the ad-hoc network communication process to generate a real-time spectrum snapshot; identifying the position coordinates and energy fluctuation parameters of an electromagnetic interference source according to the real-time spectrum snapshot to generate an interference source feature vector; inputting the interference source feature vector into a preset interference prediction model, outputting a frequency point priority queue within a future time period, and updating the emergency frequency library.

[0010] Optionally, the generation of the handover result parameter includes: based on the dynamic handover decision instruction, starting the power adjustment module of the satellite power amplifier assembly, and obtaining a power feature parameter according to the satellite signal attenuation rate; generating a dynamic power reduction curve through the power feature parameter, and adjusting the power amplifier power of the satellite link to a preset power reduction ratio; while reducing the power amplifier power, triggering the redundant transmission module of the ad-hoc network node to increase the ad-hoc network signal strength according to a preset gain ratio to obtain a power compensation parameter; and generating a handover result parameter according to the power compensation parameter and the current link quality.

[0011] Optionally, the generation of the handover result parameter includes: monitoring the satellite remaining bandwidth and ad-hoc network transmission delay index in the handover result parameter to generate a bandwidth allocation priority parameter; according to the bandwidth allocation priority parameter, enabling a QoS guarantee channel of the satellite link or a transmission channel of the ad-hoc network link for the data stream; and dynamically adjusting the complexity threshold of the encryption and compression algorithm based on the link quality of the QoS guarantee channel to generate a hierarchical compression parameter.

[0012] Optionally, the prioritized packaging and encryption and compression of the heterogeneous data stream to generate an adaptive transmission data packet includes: identifying the video stream feature parameters in the adaptive transmission data packet, and calculating the spatio-temporal correlation coefficient of the current video frame; dynamically selecting an inter-frame compression mode or an intra-frame compression mode according to the spatio-temporal correlation coefficient to generate a compression strategy instruction; dynamically allocating encoding parameters to the video stream based on the compression strategy instruction to generate a compressed bitstream, and outputting an adaptive bitrate parameter in combination with the satellite link bandwidth constraint.

[0013] Optionally, the method further includes: obtaining an environmental temperature parameter and a remaining battery capacity parameter, generating a low-temperature operation index; when the low-temperature operation index exceeds a preset operation threshold, activating a preset phase change material module, generating a heating control instruction through heat conduction calculation; in response to the heating control instruction, directionally heating a local area of the radio frequency component, and generating an anti-freezing activation parameter; based on the anti-freezing activation parameter, dynamically calibrating the antenna phase parameter of the satellite link, and generating a link repair instruction in a low-temperature environment.

[0014] Optionally, the generating of the heating control instruction through heat conduction calculation further includes: calculating a predicted heat supply duration value according to the remaining battery capacity parameter and the latent heat release rate of the phase change material; if the predicted heat supply duration value is less than a preset heat supply threshold, starting an asymmetric charging module of a backup capacitor bank, generating an emergency power supply parameter; according to the emergency power supply parameter, performing temperature compensation on the radio frequency component and the Beidou positioning module in priority order, and generating a directional heating instruction.

[0015] Optionally, the method further includes: monitoring the real-time movement trajectory of the ad-hoc network node and the satellite coverage area change parameter, generating a space topology change vector; according to the space topology change vector, updating the relay node weight value in the fusion routing path, generating a dynamic topology table; if it is detected that the continuous communication interruption event of the key node exceeds a preset number of times, triggering an emergency broadcast mechanism, and caching the untransmitted data into a preset Beidou short message queue.

[0016] Based on the same inventive concept, the present invention further provides a satellite broadband ad-hoc network fusion communication system, the system includes: a data acquisition module, configured to acquire a signal quality parameter of a satellite communication link and a distribution density parameter of ad-hoc network nodes, obtain a network parameter, and extract features of the network parameter to generate a network state feature vector; a dynamic switching decision module, configured to generate a dynamic switching decision instruction according to the network state feature vector, in combination with a preset spectrum interference threshold and a satellite coverage range parameter; a link switching execution module, configured to perform a dynamic switching operation between a satellite link and an ad-hoc network link based on the dynamic switching decision instruction, and generate a switching result parameter; a fusion routing generation module, configured to perform routing weight allocation on a satellite transmission path and an ad-hoc network relay node according to the switching result parameter, and generate a fusion routing path; a data transmission adaptation module, configured to perform priority packaging and encryption compression on heterogeneous data streams through the fusion routing path, and generate an adaptive transmission data packet.

[0017] Compared with the prior art, the present invention has the following advantages:

[0018] 1. The present invention generates a network status feature vector by obtaining the satellite link signal quality and the self-organizing network node distribution density parameters in real time, and generates a handover decision instruction in combination with dynamic parameters such as the spectrum interference threshold and the coverage range, so as to realize the intelligent collaborative handover of the satellite and the self-organizing network link; this mechanism can effectively cope with sudden interference and node mobility, and significantly reduce the probability of communication interruption;

[0019] 2. By using the spectrum interference source positioning and prediction technology, combining with the candidate frequency points in the emergency frequency library, and making a comprehensive decision through double weight values (signal stability coefficient and node coverage ability), the interfered frequency band is dynamically avoided; compared with the fixed frequency band allocation scheme, the spectrum utilization efficiency is improved and the transmission delay is reduced;

[0020] 3. Based on the routing weight allocation strategy of the handover result parameters, integrating the advantages of satellite wide-area coverage and self-organizing network multi-hop relay, an optimal transmission path is dynamically generated; at the same time, the heterogeneous data streams are prioritized and encrypted and compressed hierarchically to adapt to the bandwidth and delay constraints of different links, and the end-to-end service quality of high-value services is improved.

[0021] Other features and advantages of the present invention will be described in the following description of the specification, and, in part, will be obvious from the description of the specification, or will be understood by implementing the present invention. The objectives and other advantages of the present invention can be achieved and obtained through the structures pointed out in the specification, the claims, and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0023] Figure 1 It is a schematic flow chart of a satellite broadband self-organizing network fusion communication method according to an embodiment of the present invention.

[0024] Figure 2 It is a spectrum interference heat map according to an embodiment of the present invention.

[0025] Figure 3 It is a power adjustment curve graph according to an embodiment of the present invention.

[0026] Figure 4 It is a heating time prediction graph according to an embodiment of the present invention.

[0027] Figure 5 It is a weight distribution graph according to an embodiment of the present invention.

[0028] Figure 6It is a schematic structural diagram of a satellite broadband self-organizing network integrated communication system according to an embodiment of the present invention. Specific Embodiments

[0029] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0030] Referring to Figure 1 , an embodiment of the present invention proposes a satellite broadband self-organizing network integrated communication method. By adopting technologies such as network state feature vector extraction, dynamic switching decision instruction generation, and fusion routing path allocation, it can achieve efficient coordination of satellite and self-organizing network resources in complex electromagnetic environments and dynamic topology scenarios, significantly improving communication reliability and spectrum utilization rate.

[0031] The method of this embodiment specifically includes:

[0032] Obtain the signal quality parameters of the satellite communication link and the distribution density parameters of the self-organizing network nodes to obtain network parameters, and perform feature extraction on the network parameters to generate a network state feature vector;

[0033] Specifically, the link error rate, signal-to-noise ratio, and Doppler frequency shift amount are collected in real time through a satellite modem as signal quality parameters. At the same time, the position message information of the self-organizing network nodes is used to calculate the number of active nodes per square kilometer as the distribution density parameter. Subsequently, the principal component analysis method is used to perform dimensionality reduction processing on the two types of parameters, and a feature vector with a unified dimension is output. The feature correlations to be checked include the linear correlation between the signal-to-noise ratio and the node density.

[0034] Among them, the signal quality parameter is a set of quantization indexes characterizing the connection reliability of the satellite communication physical layer, including measurement values such as the error rate; the distribution density parameter is the statistical value of the number of terminal devices per unit area in the self-organizing network topology; feature extraction is a data processing process that maps multi-dimensional parameters into low-dimensional vectors through mathematical transformation to eliminate redundant information.

[0035] According to the network state feature vector, combined with the preset spectrum interference threshold and satellite coverage range parameters, generate a dynamic switching decision instruction;

[0036] Based on the dynamic switching decision instruction, perform the dynamic switching operation of the satellite link and the self-organizing network link to generate switching result parameters;

[0037] According to the switching result parameters, route weight allocation is performed on the satellite transmission path and the ad-hoc relay node to generate a fused routing path;

[0038] Through the fused routing path, the heterogeneous data streams are subjected to priority packaging and encryption compression to generate adaptive transmission data packets.

[0039] Specifically, by establishing a closed-loop control mechanism of network state awareness, intelligent switching decision-making, and multi-path fusion, the advantages of wide-area coverage of high-orbit satellites and flexible relay of ad-hoc networks are effectively coordinated. The eigenvector compression technology is used to reduce the decision-making delay, the dynamic weight allocation model enhances the topological adaptability, and the hierarchical compression and encryption ensure the service quality of business differentiation. This method is especially suitable for dynamic and harsh environments such as disaster relief, and significantly improves the robustness of heterogeneous network collaborative communication.

[0040] Exemplarily, in a mountainous area emergency communication scenario, when it is detected that there is radar interference in the satellite C-band, the system inputs the eigenvector into the decision model to generate an instruction to switch to the Ku-band satellite link. During the switching process, the ad-hoc network node increases the transmission power to 12 dBm to compensate for the link loss, and the routing module recalculates and selects a 3-hop relay path. Finally, the video surveillance data is stably transmitted at a coding rate of 1.5 Mbps with H.265 encoding, reducing the transmission interruption time by 68% compared with the traditional single-link scheme. The continuity of critical services is maintained under complex electromagnetic environments and terrain occlusion conditions, and the end-to-end delay is reduced through intelligent path selection, realizing the efficient coordination of multi-network resources.

[0041] Optionally, the generating of the dynamic switching decision instruction includes:

[0042] Performing spectrum occupancy rate analysis on the network state eigenvector to generate interference distribution parameters;

[0043] Specifically, as Figure 2 shown, through a Fourier spectrum analyzer, energy integration operation is performed on the frequency domain components in the eigenvector, the power spectral density of each sub-channel is calculated, the frequency bands exceeding the background noise baseline by 3 dB are marked as potential interference areas, and a distribution map is generated according to the energy level to obtain interference distribution parameters.

[0044] Among them, spectrum occupancy rate analysis is an analysis method for identifying the signal energy distribution state in the electromagnetic spectrum; the interference distribution parameter is a multi-dimensional data set for quantifying the abnormal electromagnetic radiation intensity within the frequency band.

[0045] When it is detected that the interference distribution parameter exceeds the preset spectrum interference threshold, the candidate satellite frequency point parameters in the preset emergency frequency library are activated to obtain a frequency point switching queue;

[0046] Specifically, alternative frequency points that comply with the rules of the International Telecommunication Union are called through a frequency planning database, and a handover queue is constructed based on the frequency point polarization mode and rain fade margin. The queue sorting rules are as follows: the Ka band takes precedence over the Ku band; horizontal polarization takes precedence over vertical polarization; satellites with an elevation angle greater than 45° take precedence. Among them, the emergency frequency library is a set of pre-stored satellite communication frequency band parameters with anti-interference characteristics; the frequency point handover queue is a sequence of available frequency points arranged according to priority.

[0047] According to the frequency point handover queue, calculate the signal stability coefficient and transmission delay parameter of the alternative satellite link, and generate a first handover weight value;

[0048] Specifically, for the signal stability coefficient S stab , there is:

[0049]

[0050] In the formula, SNR is the current signal-to-noise ratio, representing the intensity ratio of the signal to the noise, used to measure the signal quality, SNR min is the minimum reception threshold, is the delay jitter variance, k1 and k2 are the first weight adjustment coefficients, where k1 can be 0.6 and k2 can be 0.4. The transmission delay parameter is jointly estimated through the satellite ephemeris and topological distance. For the first handover weight value W1, there is:

[0051]

[0052] In the formula, λ is the dynamic adjustment factor, and the default value is 0.7. Among them, the signal stability coefficient is a normalized index for quantifying the anti-fading ability of the link; the transmission delay parameter is the predicted value of the round-trip time of the electromagnetic wave from the ground station through the satellite to the target node.

[0053] Analyze the energy reserve parameter and satellite coverage range parameter of the current ad hoc network node, and generate a second handover weight value;

[0054] Specifically, analyze the energy reserve parameter of the current ad hoc network node, calculate the remaining energy level of the node, and for the remaining energy level E level , there is:

[0055]

[0056] In the formula, floor is the floor function, taking the calculation result as the largest integer not greater than it, k3 is the remaining energy level adjustment coefficient, E res is the remaining energy of the node, E max is the maximum energy reserve of the node. Then calculate the satellite coverage range parameter, that is, the coverage radius. For the node coverage radius R cov , there is:

[0057]

[0058] Wherein, P t is the transmit power, G t and G r are the antenna gains, L env is the environmental loss, P th is the receive sensitivity threshold, which is the minimum signal strength at which the receiving device can correctly receive and process the signal. For the second handover weight value W2, there is:

[0059]

[0060] Wherein, k4 and k5 are the second weight adjustment coefficients, E level is the remaining energy level of the node, R cov is the satellite coverage parameter, i.e., the coverage radius, R max is the maximum coverage radius.

[0061] Based on the above-mentioned first handover weight value and the second handover weight value, a dynamic handover decision instruction is output.

[0062] Specifically, a dual-threshold decision mechanism is adopted. For example, when the first handover weight value is greater than 0.8 and the second handover weight value is less than 0.3, a forced handover to the satellite link is performed. When the first handover weight value is less than or equal to 0.5 and the second handover weight value is greater than or equal to 0.3, a forced handover to the ad hoc network is performed. In other cases, the link is selected according to the total weight score. For the total weight score W zg , there is:

[0063] W zg = 0.6 * W1 + 0.4 * W2,

[0064] wherein, the decision instruction code is a 16-bit control word including the target frequency point and the transmit power level.

[0065] Exemplarily, in the communication scenario of an offshore drilling platform, it is detected that there is interference from a fishing boat radar in the L band, and the intensity exceeds the threshold of 8 dB, and the emergency frequency library activates the standby frequency point of 12.5 GHz in the Ku band. The signal stability coefficient of this frequency point is calculated to be 0.91 (elevation angle 58°, no rain fade), and the transmission delay is 185 ms; the coverage radius of the ad hoc network nodes is reduced to 2 km due to the influence of a typhoon, the first handover weight value is 0.87, and the second handover weight value is 0.41. It does not meet the dual-threshold decision mechanism, so the link is selected according to the total weight score. Under the dual influence of sudden interference and harsh environment, the quality of service of high-value services is guaranteed through quantitative evaluation, and communication interruption caused by insufficient node coverage is avoided.

[0066] Optionally, the method further includes:

[0067] During the communication process of the ad hoc network, monitor the electromagnetic interference intensity distribution in the satellite frequency band and generate real-time spectrum snapshots;

[0068] Specifically, collect the I / Q signals of the specified satellite frequency band through a software-defined radio device, and generate a spectrogram using the sliding window Fourier transform. For the window length N FFT , there is:

[0069]

[0070] In the formula, f sample is the sampling rate, and Δf res = 10 kHz is the frequency resolution. Generate 5 spectrum snapshots per second, and dynamically adjust the observation bandwidth. For the observation bandwidth B obs , there is:

[0071] B obs = min(R b , 20 MHz),

[0072] In the formula, min is the minimum value function, and R b is the current service rate of the ad hoc network. Among them, the real-time spectrum snapshot is time-frequency two-dimensional matrix data, reflecting the energy distribution of the electromagnetic environment at a specific moment; the electromagnetic interference intensity distribution is the characteristic mode of the signal frequency domain space that exceeds the normal communication signal power.

[0073] According to the real-time spectrum snapshot, identify the position coordinates and energy fluctuation parameters of the electromagnetic interference source, and generate an interference source feature vector;

[0074] Specifically, use an array antenna to estimate the direction of arrival of the wave and calculate the spatial spectrum; the spatial spectrum represents the energy distribution of the signal in space and is used to estimate the direction of arrival of the signal. For the spatial spectrum P(θ), there is:

[0075]

[0076] In the formula, a H (θ) is the conjugate transpose of the direction vector, representing the direction of the signal arriving at the array antenna. The direction vector a(θ) is the response vector of the array antenna to the signal from the θ direction, is the inverse matrix of the received signal correlation matrix, which is used to calculate the orthogonality of the signal subspace and the noise subspace, so as to estimate the direction of arrival of the wave. By calculating the maximum value of the spatial spectrum, the direction of arrival of the electromagnetic interference source can be determined. Combining the geometric structure of the array antenna, the position coordinates of the electromagnetic interference source can be further calculated. At this time, through the eigenvalue decomposition of the received signal correlation matrix R xx , the energy fluctuation parameters of the electromagnetic interference source can be obtained. These information together constitute the interference source feature vector.

[0077] Among them, the position coordinates are the geographical orientation information of the interference source in three-dimensional space; the energy fluctuation parameter is the quantization statistical value of the interference signal intensity changing with time.

[0078] Input the interference source feature vector into a preset interference prediction model, output the frequency point priority queue within a future time period, and update the emergency frequency library.

[0079] Specifically, the interference prediction model is a dual-channel LSTM neural network architecture. The input layer dimension is 5×10 (5 features × 10-second time window), the hidden layer has 128 units, the output layer generates the interference probability prediction values of each candidate frequency point within the next 60 seconds, arranges them in ascending order to generate a priority queue, and the update period is 30 seconds.

[0080] Among them, the interference prediction model is a tool for extracting the electromagnetic environment evolution law based on time series feature learning; the frequency point priority queue is an available frequency point index sequence sorted by anti-interference ability.

[0081] Based on the interference prediction technology combining array direction finding and deep learning, real-time perception and evolution prediction of the electromagnetic situation are realized. By constructing a spatio-temporal correlation feature model, the spatial propagation characteristics and time correlation of interference signals are effectively captured. This method greatly improves the dynamic adaptability of the emergency frequency library and provides a more intelligent spectrum obstacle avoidance ability for satellite-self-organizing network joint communication.

[0082] Optionally, the generated handover result parameters include:

[0083] Based on the dynamic handover decision instruction, start the power adjustment module of the satellite power amplifier component, and obtain the power characteristic parameters according to the satellite signal attenuation rate;

[0084] Specifically, the power adjustment module adopts a closed-loop control circuit and samples the output power in real time through a directional coupler; for the satellite signal attenuation rate P sj , there is:

[0085]

[0086] In the formula, T amb is the power amplifier environment temperature, P t2 is the transmission power at the next time point, P t1 is the transmission power at the previous time point, and Δt is the time interval, representing the time difference of power measurement. The feature parameter set includes the current transmission power level, power amplifier efficiency coefficient, and heat dissipation factor. The adjustment step size is set to ±0.5dBm / ms to avoid instantaneous power mutations.

[0087] Among them, the power adjustment module is the hardware control unit in the satellite transmitter responsible for adjusting the output power; the signal attenuation rate is the absolute value of the derivative of the RF output power with respect to time; the power characteristic parameter is a set of physical quantities reflecting the operating state of the power amplifier.

[0088] Generate a dynamic power reduction curve through the power characteristic parameters, and adjust the power amplifier power of the satellite link to a preset power reduction ratio;

[0089] Specifically, as Figure 3 shown, a cubic Bezier curve model is constructed to control the power reduction process, and the curve control point coordinates are: starting point (t0, P now ), ending point (t1, P target ), and the middle point is determined by the maximum allowable attenuation slope. The reduction ratio is dynamically set according to the link margin. For the power reduction ratio R down , there is:

[0090]

[0091] In the formula, 3dB is the safety redundancy threshold, and Margin curr is the current link margin, indicating the power reserve of the satellite link in the current operating state. The larger the link margin, the more stable the link and the larger the allowable power fluctuation range. Before the power adjustment is synchronously triggered, the forward error correction coding rate is increased to 3 / 4.

[0092] While reducing the power amplifier power, trigger the redundant transmission module of the ad-hoc network node to increase the ad-hoc network signal strength according to the preset gain ratio to obtain the power compensation parameter;

[0093] Specifically, for the ad-hoc network gain increase amount G comp , there is:

[0094]

[0095] In the formula, G max is the maximum allowable gain of the node, and in actual implementation, the gain adjustment is realized by controlling the cascading of multiple-stage amplifiers through FPGA. Among them, the redundant transmission module is a hardware unit containing a standby power amplifier link; the gain ratio is the logarithmic representation value of the RF signal amplification multiple; the power compensation parameter is recorded as indicators such as the gain adjustment amount and power consumption increment.

[0096] Generate a handover result parameter according to the power compensation parameter and the current link quality.

[0097] Specifically, the handover result parameter includes a triple of channel quality indicators (remaining bandwidth, delay increment, bit error rate); the satellite remaining bandwidth is the available bandwidth after power adjustment; the transmission delay indicator includes the weighted sum of the propagation delay and the node processing delay. For the remaining bandwidth B remain , there is:

[0098]

[0099] Wherein, B original is the initial bandwidth.

[0100] Exemplarily, when the satellite encounters the ionospheric disturbance Margin curr = 8 dB, it is calculated that R down = min((8 - 3) / 10, 70%) = 50%. After adjustment, the satellite power drops from 100 W to 50 W, the remaining bandwidth drops from 10 MHz to 5 MHz, the ad hoc network gain increases to 7.5 dB, G max = 15 dB, and the handover delay of the LEO satellite is optimized from 120 ms to 80 ms. By jointly adjusting the power and compensating the ad hoc network, the minimum guaranteed bandwidth (5 MHz video feedback) is maintained under extreme space weather conditions. After compensation, the ad hoc network delay is stabilized within 300 ms, and the data loss is reduced by 45% compared with the traditional hard handover method. This method implements adaptive power reduction when the satellite link quality deteriorates through a closed-loop power coordination mechanism, and maintains the overall transmission capacity of the heterogeneous network through ad hoc network power complementarity. Its core innovation lies in: establishing a two-way power compensation model for satellites and ad hoc networks to achieve seamless handover in the scenario of fragmented spectrum resources; adopting a dynamic Bessel curve to control the power reduction process to avoid service jitter caused by traditional stepwise adjustment; significantly enhancing the network survivability in harsh environments through redundant transmission and joint optimization of link quality.

[0101] Optionally, the generated handover result parameters include:

[0102] Monitoring the remaining bandwidth of the satellite and the ad hoc network transmission delay index in the handover result parameters to generate a bandwidth allocation priority parameter;

[0103] Specifically, the remaining available bandwidth data is collected in real time through the bandwidth statistics module of the satellite modem, and the transmission delay index is calculated by using the end-to-end round-trip delay measurement packet of the ad hoc network node. The weighted comprehensive evaluation method is used to map the two to a bandwidth allocation priority parameter. For the bandwidth allocation priority parameter F dj , there is:

[0104]

[0105] Wherein, k6 is the bandwidth adjustment coefficient, k7 is the delay adjustment coefficient, B sd is the current unused effective data transmission capacity of the satellite, B max is the peak transmission rate supported by the satellite physical layer, Y sd is the average transmission time of the ad hoc network data packet from the source node to the target node, Y max is the maximum delay upper limit allowed by the service.

[0106] Among them, the bandwidth allocation priority parameter is a comprehensive evaluation index that combines the availability and real-time performance of the converged link. The higher the value, the more preferentially the satellite QoS channel is enabled.

[0107] According to the bandwidth allocation priority parameter, enable the QoS guarantee channel of the satellite link or the transmission channel of the ad hoc network link for the data stream;

[0108] Specifically, set a dual-threshold decision rule: if the priority parameter ≥ 0.5, allocate high-real-time services such as voice control signaling to the satellite QoS channel; if ≤ 0.3, switch services that tolerate delays such as file transfer to the ad hoc network multi-hop path. For hybrid services with 0.3 < parameter < 0.5, adopt a fragmentation transmission strategy, where the head key data frames go through the satellite link and the remaining frames are transmitted via the ad hoc network.

[0109] Among them, the QoS guarantee channel is a dedicated transmission channel reserved in satellite communication with low packet loss rate and fixed bandwidth guarantee; the transmission channel is a best-effort link shared by the ad hoc network based on a competition mechanism

[0110] Based on the link quality of the QoS guarantee channel, dynamically adjust the complexity threshold of the encryption and compression algorithm to generate hierarchical compression parameters.

[0111] Specifically, obtain the current link quality through the bit error rate detection module. When the bit error rate is lower than 1e-6, enable AES-256 encryption combined with H.265 inter-frame compression; when the bit error rate rises to 1e-4, switch to the lightweight ChaCha20 algorithm and JPEG2000 intra-frame compression mode. The dynamic adjustment formula for the compression ratio is:

[0112]

[0113] In the formula, PR now is the current compression ratio, PR0 is the reference compression ratio, SNR th is the minimum signal-to-noise ratio required to maintain basic communication, SNR max is the maximum signal-to-noise ratio, where, represents the link quality coefficient.

[0114] Exemplarily, due to ionospheric disturbances, the remaining bandwidth of the satellite link drops sharply to 8 Mbps (maximum bandwidth 100 Mbps), and due to ice and snow reflection, the transmission delay of the ad hoc network nodes rises to 280 ms (threshold delay 300 ms). Calculating the bandwidth allocation priority parameter gives 0.6×(8 / 100)+0.4×(1 - 280 / 300) = 0.048 + 0.026 ≈ 0.074. Therefore, the priority parameter 0.074 triggers the forced ad hoc network transmission mode, and the environmental monitoring video stream is split into key frames and non-key frames: The key frames (I-frames) are transmitted using the satellite QoS channel, with AES-192 encryption and H.264 compression when the bit error rate is 1e-5; the non-key frames (P / B-frames) are transmitted via the ad hoc network, and the Zstandard compression algorithm is enabled. In the case of severe degradation of the satellite link, the service attributes are accurately discriminated through the priority parameter, achieving a balance between the reliability of key data and the throughput of non-key data. The dynamic hierarchical encryption mechanism avoids the risk of ciphertext failure in a high bit error environment, and the fragmentation transmission strategy reduces the end-to-end delay jitter, ensuring the integrity of scientific expedition data.

[0115] Optionally, the prioritized packaging, encryption, and compression of the heterogeneous data streams to generate adaptive transmission data packets include:

[0116] Identifying the video stream feature parameters in the adaptive transmission data packet and calculating the spatio-temporal correlation coefficient of the current video frame;

[0117] Extracting the luminance component histogram and motion vector field of each frame in the video stream through a video frame decoder and calculating the structural similarity index of adjacent frames. For the spatio-temporal correlation coefficient, there is:

[0118]

[0119] In the formula, k8 is the spatial correlation weight factor, with a default value of 0.6, k9 is the temporal correlation weight factor, with a default value of 0.4, MS is the mean square error between the current frame and the reference frame, MS max is the maximum possible mean square error value, MV t is the motion vector of the macroblock within the frame at time t, and N is the total number of macroblocks.

[0120] Among them, the video stream feature parameters are a set of luminance block statistics and motion vector directions of the video frame, characterizing the content change law. The spatio-temporal correlation coefficient is a redundancy quantization index that combines the pixel domain and the motion domain, with a range of [0,1]. The higher the value, the stronger the similarity between consecutive frames.

[0121] According to the spatio-temporal correlation coefficient, dynamically select the inter-frame compression mode or the intra-frame compression mode to generate a compression strategy instruction;

[0122] Specifically, a dynamic threshold is set, such as 0.7. If the current spatio-temporal correlation coefficient is greater than or equal to the dynamic threshold of 0.7, the inter-frame compression mode is enabled, and the temporal redundancy is eliminated through the motion estimation and compensation algorithm. If the current spatio-temporal correlation coefficient is less than the dynamic threshold of 0.7, the intra-frame compression mode is forcibly used to encode the spatial information based on the discrete cosine transform. The decision logic is encapsulated as a binary control instruction. For example, "01" represents the inter-frame mode (Inter_16x16 in H.265), and "10" represents the intra-frame mode (Intra_4x4). The inter-frame compression mode is a technique for predictive coding using the temporal correlation of adjacent frames, reducing the repeated transmission through motion vectors. The intra-frame compression mode is a lossless or near-lossless compression method that only encodes the spatial information within the current frame, avoiding dependence on historical frames.

[0123] Based on the compression strategy instruction, the dynamic allocation of encoding parameters for the video stream is performed to generate a compressed bitstream, and the adapted bitrate parameter is output in combination with the satellite link bandwidth constraint.

[0124] Specifically, if the inter-frame mode is adopted, the GOP (Group of Pictures) length is dynamically set to 16 frames, and for the quantization parameter value QP, there is:

[0125]

[0126] In the formula, k 10 is the error coefficient, k 11 is the quantization parameter adjustment coefficient, B alloc is the available bandwidth currently allocated by the satellite link, B current is the current bitrate, Bb max is the maximum bearing bandwidth of the link. If it is the intra-frame mode, then QP = 24 is fixed to ensure the reconstruction quality, and the GOP is synchronously shortened to 4 frames. The final bitrate parameter converges to the target bandwidth through a bitrate control algorithm (such as the HRD buffer model). The dynamic allocation of encoding parameters is a real-time optimization process that adjusts the core parameters of the video encoder according to network conditions and content characteristics. The adapted bitrate parameter is the output data rate target value after the trade-off between link bandwidth limitation and encoding efficiency.

[0127] Exemplarily, in the monitoring scenario of the Arctic scientific research station, the video stream mainly captures static ice layers, and the spatio-temporal correlation coefficient is 0.85. The inter-frame compression mode is triggered, GOP = 16, and the initial bitrate is 8 Mbps. When a sudden aurora causes the link bandwidth to drop sharply from 10 Mbps to 3 Mbps, the QP is dynamically adjusted from 26 to 34, and the bitrate drops to 2.5 Mbps. The 16-frame GOP structure is still maintained to reduce the key frame overhead. During the switching process, the peak signal-to-noise ratio only drops by 2 dB, and there is no significant loss in the picture continuity. Compared with the fixed bitrate encoding, this method reduces the freeze duration by 38% during bandwidth fluctuations and effectively suppresses the mosaic effect. By analyzing the spatio-temporal redundancy characteristics of the video content, the optimal compression strategy is dynamically matched to achieve the collaborative optimization of encoding efficiency and transmission reliability. Combining the bitrate control adaptive to the link bandwidth effectively balances the high-definition picture quality and the risk of network congestion. Its beneficial effects include: maintaining service continuity by intelligently reducing the bitrate when the bandwidth is suddenly limited; having strong anti-accumulative error ability for dynamic scene switching; accurately matching the resource allocation to the heterogeneous network bearing capacity, and improving the service quality in the multi-service coexistence scenario.

[0128] Optionally, the method further includes:

[0129] Obtaining the environmental temperature parameter and the remaining battery capacity parameter, and generating a low-temperature operation index;

[0130] Specifically, the environmental temperature parameter is the measured value of the thermodynamic temperature of the microenvironment where the radio frequency component is located. The remaining battery capacity parameter is the percentage of the current available electric energy of the energy storage unit in the total electric energy. The low-temperature operation index is a comprehensive evaluation parameter that quantifies the operation risk of the device in a cold environment, with a value range of [0, 1]. The higher the value, the greater the risk. The environmental temperature parameter is collected by the digital temperature sensors distributed on the surface of the radio frequency component, and at the same time, the remaining power percentage of the battery management system is read. The two are fused according to the weight to generate the low-temperature operation index.

[0131] When the low-temperature operation index exceeds the preset operation threshold, activating the preset phase change material module, and generating a heating control instruction through heat conduction calculation;

[0132] In response to the heating control instruction, directionally heating a local area of the radio frequency component, and generating an anti-freeze activation parameter;

[0133] Specifically, the phase change material control unit applies variable power to a specified area through a flexible heating film according to the heating control instruction. The heating film is made of a transparent conductive oxide such as indium tin oxide, which not only ensures the penetration of radio frequency signals but also enables zonal temperature control. Among them, the flexible heating film is a bendable polymer-based conductive material that can adapt to the complex curved surfaces of satellite equipment; the transparent conductive oxide is a functional material with both optical transparency and conductivity. When the directional heating lasts for more than a preset duration, such as 30 seconds, anti-freeze activation parameters including the coordinates of the heating area, the target temperature range, and the timestamp are automatically generated, stored in the satellite status log, and uploaded to the ground station. The timestamp is a digital sequence recording the time when an event occurs and is used for status tracking and fault analysis.

[0134] Based on the anti-freeze activation parameters, the antenna phase parameters of the satellite link are dynamically calibrated to generate link repair instructions in a low-temperature environment.

[0135] Specifically, by monitoring the temperature of the antenna feed, a temperature compensation algorithm is used to adjust the phase control voltage. For the compensation value V bc , there is:

[0136] V bc = k 12 *(T 当前 - T 基准 ),

[0137] In the formula, k 12 is the compensation adjustment coefficient, which is determined by the thermal expansion coefficient of the antenna material and the sensitivity of the phase controller. T 当前 is the current temperature, and T 基准 is the reference temperature. Among them, the temperature compensation algorithm is a closed-loop control method that automatically corrects control parameters according to temperature changes; the phase control voltage is an electrical signal for adjusting the beam pointing of the antenna array. For example, when the antenna temperature drops from 20°C to -30°C, the compensation algorithm automatically increases the phase control voltage by 3.2V, correcting the beam pointing deviation from 1.5° to 0.3°. Combining the anti-freeze activation parameters and the phase calibration results, repair instructions including power adjustment, modulation mode switching, and retransmission strategy are generated. For example, when it is detected that the bit error rate is still higher than the threshold after phase calibration, the instruction automatically switches the QPSK modulation to 16-QAM to enhance the anti-interference ability. Among them, QPSK is a quadrature phase shift keying modulation technique, and 16-QAM is a 16-ary quadrature amplitude modulation technique.

[0138] Optionally, the generation of the heating control instruction through heat conduction calculation further includes:

[0139] Calculating the predicted value of the available heating duration according to the remaining battery capacity parameter and the latent heat release rate of the phase change material;

[0140] If the predicted available heating duration is less than a preset heating threshold, start the asymmetric charging module of the backup capacitor bank to generate emergency energy supply parameters;

[0141] According to the emergency energy supply parameters, perform temperature compensation on the radio frequency components and the Beidou positioning module in the order of priority to generate a directional heating instruction.

[0142] Specifically, as Figure 4 shown in the heating prediction, the preset anti-freezing threshold is 0.6, triggering the solid-liquid conversion of the phase change material module. For the predicted available heating duration value H yc , there is:

[0143]

[0144] In the formula, Q PCM is the latent heat capacity of the phase change material, such as 300 kJ / kg, η is the thermal efficiency coefficient, default 0.85, m PCM is the mass of the phase change material, P heat is the thermal power consumption per unit time of the radio frequency component, such as 50 W, U current is the remaining battery capacity, U max is the total battery capacity. If H yc is less than the minimum operating time threshold, such as 30 minutes, activate the asymmetric charging module of the backup capacitor bank to improve the power supply capacity. The asymmetric charging module is a dynamic power distribution circuit of the super capacitor bank, allowing independent regulation of the charge and discharge rates of different branches. The emergency energy supply parameters are a configuration data set describing the temporary energy replenishment strategy, including the power distribution rule and the device start-stop sequence. Establish a device priority weight matrix [0.6, 0.4], corresponding to the radio frequency component weight of 0.6 and the Beidou module weight of 0.4. The directional heating instruction is encoded as a pulse width modulation signal to control the duty cycle of each heating sheet. The priority order is the heating order set according to the influence degree of the device on the core function of the system. The directional heating instruction is a control code including the target device, the heating duration, and the power level.

[0145] Optionally, the method further includes:

[0146] Monitor the real-time movement trajectory of the ad-hoc network node and the satellite coverage area change parameters, and generate a spatial topology change vector;

[0147] Specifically, the real-time movement trajectory is the continuous position change path of the ad-hoc network nodes in three-dimensional space. The satellite coverage area change parameter is a quantitative index reflecting the relative position change between the satellite communication beam and the ground nodes. The space topology change vector is multi-dimensional characteristic data that integrates node mobility and satellite coverage dynamics, and is used to describe the instability of the network structure. The coordinates of the nodes are collected in real time through the GPS module and the Beidou positioning module of the ad-hoc network nodes, and the displacement and direction angle within adjacent time windows are calculated. For the satellite coverage area change parameter, the orbital ephemeris data and the beam width model are used to predict the boundary of the current satellite coverage range.

[0148] According to the space topology change vector, update the relay node weight value in the integrated routing path to generate a dynamic topology table;

[0149] Specifically, as Figure 5 shown, a dynamic weight update algorithm is adopted. For the weight value of relay node k at time t

[0150]

[0151] There is: 13 k 14 k 15 k is the relay node weight adjustment coefficient, res,k is the weight value of the relay node at time t-1, E max is the remaining energy of node k, F k is the maximum energy reserve of the node, hop k is the change amount of the distance from node k to the satellite coverage center caused by node movement, σ zj is the distance change tolerance parameter. The dynamic topology table stores the updated weight mapping relationship in a hash structure. The relay node weight value is a scoring parameter for measuring the comprehensive forwarding ability of the node in the routing. The dynamic topology table is a preferred list of relay nodes sorted in real time by weight, which supports fast searching and updating.

[0152] If it is detected that the continuous communication interruption event of the critical node exceeds the preset number of times, trigger the emergency broadcast mechanism, and cache the untransmitted data into the preset Beidou short message queue.

[0153] Specifically, define the critical node as the top 10% nodes with the highest weights. When the continuous interruption times of the same node ≥ 3 times, start the emergency caching process of the Beidou short message. The emergency broadcast mechanism is an operation protocol for quickly distributing emergency instructions through the broadcast channel when the core routing fails. The Beidou short message queue is a reliable data caching and retransmission buffer based on the Beidou satellite short message service.

[0154] By integrating the dynamic parameters of node movement and satellite beams to construct a space topology model and using a weighted feedback mechanism to continuously optimize the relay selection strategy, the problem of path oscillation in the satellite-ground cooperative network in a mobile scenario is solved. Its beneficial effects include: dynamically maintaining routing stability when nodes move rapidly, reducing the probability of service interruption caused by topological changes; ensuring basic data transmission through Beidou short messages when key nodes fail, preventing data black holes in emergency scenarios; and enhancing network resilience and overall survivability in a highly dynamic heterogeneous environment through an adaptive weight algorithm.

[0155] Based on the same inventive concept, as Figure 6 shown, the present invention provides a satellite broadband self-organizing network integrated communication system, and the system includes:

[0156] A data acquisition module, configured to acquire signal quality parameters of a satellite communication link and distribution density parameters of self-organizing network nodes, obtain network parameters, and perform feature extraction on the network parameters to generate a network state feature vector;

[0157] A dynamic switching decision module, configured to generate a dynamic switching decision instruction according to the network state feature vector, in combination with a preset spectrum interference threshold and satellite coverage range parameters;

[0158] A link switching execution module, configured to perform dynamic switching operations of a satellite link and a self-organizing network link based on the dynamic switching decision instruction, and generate switching result parameters;

[0159] A fusion routing generation module, configured to perform routing weight allocation on a satellite transmission path and self-organizing network relay nodes according to the switching result parameters, and generate a fusion routing path;

[0160] A data transmission adaptation module, configured to perform priority packaging and encryption compression on heterogeneous data streams through the fusion routing path to generate an adaptive transmission data packet.

[0161] It should be noted that the electrical connections between the above-mentioned various units do not necessarily represent direct connections of the lines. Indirect connection methods, as long as the purpose of the present invention is achieved, are applicable to the embodiments of the present invention. The above are only exemplary embodiments of the present invention, and the scope of the present invention cannot be limited thereby.

[0162] That is, any equivalent changes and modifications made in accordance with the teachings of the present invention still fall within the scope covered by the present invention. Those skilled in the art will easily think of other implementation schemes of the present invention after considering the specification and the disclosure of the practice truth. This application aims to cover any variations, uses, or adaptation changes of the present invention, and these variations, uses, or adaptation changes follow the general principles of the present invention and include common general knowledge or conventional technical means in the technical field not recorded in the present invention.

Claims

1. A satellite broadband self-organizing network fusion communication method, characterized in that The method includes: Obtaining the signal quality parameter of the satellite communication link and the distribution density parameter of the ad hoc network nodes to obtain network parameters, and performing feature extraction on the network parameters to generate a network state feature vector; Generating a dynamic switching decision instruction according to the network state feature vector, in combination with a preset spectrum interference threshold and satellite coverage range parameters; Based on the dynamic switching decision instruction, performing a dynamic switching operation between the satellite link and the ad hoc network link to generate a switching result parameter; According to the switching result parameter, performing routing weight allocation on the satellite transmission path and the ad hoc network relay nodes to generate a fusion routing path; Through the fusion routing path, performing priority packaging and encryption compression on heterogeneous data streams to generate an adaptive transmission data packet.

2. The satellite broadband self-organizing network fusion communication method according to claim 1, characterized in that The generating of the dynamic switching decision instruction includes: Performing spectrum occupancy rate analysis on the network state feature vector to generate an interference distribution parameter; When it is detected that the interference distribution parameter exceeds the preset spectrum interference threshold, activating the candidate satellite frequency point parameters in the preset emergency frequency library to obtain a frequency point switching queue; According to the frequency point switching queue, calculating the signal stability coefficient and transmission delay parameter of the alternative satellite link to generate a first switching weight value; Analyzing the energy reserve parameter of the current ad hoc network node and the satellite coverage range parameter to generate a second switching weight value; Combining the first switching weight value and the second switching weight value and outputting a dynamic switching decision instruction.

3. The satellite broadband self-organizing network fusion communication method according to claim 2, characterized in that, The method further includes: Monitoring the electromagnetic interference intensity distribution in the satellite frequency band during the ad hoc network communication process to generate a real-time spectrum snapshot; According to the real-time spectrum snapshot, identifying the position coordinates and energy fluctuation parameters of the electromagnetic interference source to generate an interference source feature vector; Inputting the interference source feature vector into a preset interference prediction model, outputting a frequency point priority queue in a future time period, and updating the emergency frequency library.

4. The satellite broadband self-organizing network fusion communication method according to claim 2, wherein, The generating of the switching result parameter includes: Based on the dynamic switching decision instruction, starting the power adjustment module of the satellite power amplifier assembly and obtaining a power feature parameter according to the satellite signal attenuation rate; Generating a dynamic power reduction curve through the power feature parameter and adjusting the power amplifier power of the satellite link to a preset power reduction ratio; While reducing the power amplifier power, triggering the redundant transmission module of the ad hoc network node to increase the ad hoc network signal strength according to a preset gain ratio to obtain a power compensation parameter; According to the power compensation parameter and the current link quality, generating a switching result parameter.

5. A satellite broadband self-organizing network fusion communication method according to claim 4, characterized in that The generating of the switching result parameter includes: Monitoring the satellite remaining bandwidth and ad hoc network transmission delay indicators in the switching result parameter to generate a bandwidth allocation priority parameter; According to the bandwidth allocation priority parameter, enabling the QoS guarantee channel of the satellite link or the transmission channel of the ad hoc network link for the data stream; Based on the link quality of the QoS guarantee channel, dynamically adjusting the complexity threshold of the encryption compression algorithm to generate a hierarchical compression parameter.

6. A satellite broadband self-organizing network fusion communication method according to claim 1, characterized in that, The performing of priority packaging and encryption compression on heterogeneous data streams to generate an adaptive transmission data packet includes: Identifying the video stream feature parameters in the adaptive transmission data packet and calculating the spatio-temporal correlation coefficient of the current video frame; Dynamically select an inter-frame compression mode or an intra-frame compression mode according to the spatio-temporal correlation coefficient, and generate a compression strategy instruction; Based on the compression strategy instruction, dynamically allocate encoding parameters for the video stream, generate a compressed bitstream, and output an adapted bitrate parameter in combination with the satellite link bandwidth constraint.

7. A satellite broadband self-organizing network fusion communication method according to claim 1, characterized in that, The method further includes: Obtain the ambient temperature parameter and the remaining battery capacity parameter, and generate a low-temperature operation index; When the low-temperature operation index exceeds a preset operation threshold, activate a preset phase change material module, and generate a heating control instruction through heat conduction calculation; In response to the heating control instruction, directionally heat a local area of the radio frequency component, and generate an anti-freezing activation parameter; Based on the anti-freezing activation parameter, dynamically calibrate the antenna phase parameter of the satellite link, and generate a link repair instruction in a low-temperature environment.

8. A satellite broadband self-organizing network fusion communication method according to claim 7, characterized in that, The generating the heating control instruction through heat conduction calculation further includes: Calculate a predicted value of the heat supply duration according to the remaining battery capacity parameter and the latent heat release rate of the phase change material; If the predicted value of the heat supply duration is less than a preset heat supply threshold, start an asymmetric charging module of a backup capacitor bank, and generate an emergency power supply parameter; According to the emergency power supply parameter, perform temperature compensation on the radio frequency component and the Beidou positioning module in the order of priority, and generate a directional heating instruction.

9. A satellite broadband self-organizing network fusion communication method according to claim 1, characterized in that The method further includes: Monitor the real-time movement trajectory of the ad hoc network node and the satellite coverage area change parameter, and generate a spatial topology change vector; According to the spatial topology change vector, update the relay node weight value in the fusion routing path, and generate a dynamic topology table; If it is detected that the number of consecutive communication interruption events of a key node exceeds a preset number of times, trigger an emergency broadcast mechanism, and cache the untransmitted data into a preset Beidou short message queue.

10. A satellite broadband self-organizing network integrated communication system, which is applied to the satellite broadband self-organizing network integrated communication method described in any one of claims 1-9, and is characterized in that, The system includes: A data acquisition module, configured to acquire the signal quality parameter of the satellite communication link and the distribution density parameter of the ad hoc network node, obtain network parameters, and perform feature extraction on the network parameters to generate a network state feature vector; A dynamic switching decision module, configured to generate a dynamic switching decision instruction according to the network state feature vector, in combination with a preset spectrum interference threshold and a satellite coverage range parameter; A link switching execution module, configured to perform a dynamic switching operation between the satellite link and the ad hoc network link based on the dynamic switching decision instruction, and generate a switching result parameter; A fusion routing generation module, configured to perform routing weight allocation on the satellite transmission path and the ad hoc network relay node according to the switching result parameter, and generate a fusion routing path; A data transmission adaptation module, configured to perform priority packaging and encryption compression on heterogeneous data streams through the fusion routing path, and generate an adaptive transmission data packet.

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