An emergency command system and method based on satellite communication

Abstract

The present invention discloses an emergency command system and method based on satellite communication, specifically relating to the field of radio transmission technology; by obtaining on-site information of the disaster area in real time and transmitting the information to the emergency command center through a satellite communication channel, dynamic command decision-making and resource optimization are realized. During the signal transmission process, the system monitors and analyzes the phase noise and carrier-to-interference ratio of the satellite signal in real time to determine whether the signal is distorted. When the signal is distorted, the system automatically switches to a backup satellite communication channel to ensure uninterrupted information transmission; in addition, the satellite communication link monitoring system can adjust the signal quality in real time and perform fault tolerance processing to ensure the continuous operation of the command system and avoid the failure of the emergency response due to communication interruption. The present invention effectively improves the stability of satellite signals in various environments and ensures the efficient operation of the emergency command system.

Description

Technical Field

[0001] The present invention relates to the field of radio transmission technology, and particularly to an emergency command system and method based on satellite communication. Background Art

[0002] With the rapid development of global communication technology, satellite communication is gradually playing an important role in emergency command systems. Traditional emergency command systems mainly rely on terrestrial communication networks such as radio, telephone, and the Internet. However, during disasters, terrestrial communication is often damaged or interrupted, resulting in blocked information transmission. Satellite communication systems can provide stable communication support during post-disaster recovery, and thus become a key technical means in emergency command. The emergency command method based on satellite communication can ensure effective cooperation and information sharing among various emergency departments without terrestrial communication facilities, improving the efficiency and timeliness of emergency response. Especially in extreme environments such as natural disasters or wartime, satellite communication shows its irreplaceable advantages.

[0003] The existing technologies have the following deficiencies:

[0004] Although the emergency command system based on satellite communication has many advantages, in practical applications, satellite signals may be distorted. Since satellite communication relies on signal propagation in the atmosphere, adverse weather conditions (such as strong winds, heavy rains, sandstorms, etc.) may cause temporary loss or quality degradation of signals, which poses a major challenge to the real-time performance and reliability of the emergency command system. At the disaster site, the timely transmission of information may determine the success or failure of emergency handling. Therefore, how to ensure the stability of satellite signals in various environments has become a difficult problem in current technologies. Summary of the Invention

[0005] The purpose of the present invention is to provide an emergency command system and method based on satellite communication to solve the deficiencies in the background art.

[0006] To achieve the above purpose, the present invention provides the following technical solution: An emergency command method based on satellite communication, comprising the following steps:

[0007] S1: When an emergency occurs, obtain the on-site information of the disaster area in real time through the satellite communication network, including geographical location, disaster situation assessment, and resource demand data;

[0008] S2: Use the satellite communication channel to transmit the on-site information of the disaster area to the emergency command center. At the emergency command center, based on the real-time data of the satellite signal, make dynamic command decisions to optimize resource allocation and emergency response strategies;

[0009] S3: During the satellite signal transmission process, monitor and analyze the phase noise level of the satellite signal and the carrier - to - interference ratio of the satellite signal in real time to determine whether the satellite signal is distorted;

[0010] S4: When the satellite signal is distorted, automatically switch to the backup satellite communication channel to supplement information transmission to ensure the smooth flow of information and the continuous operation of the command system;

[0011] S5: Use the satellite communication link monitoring system to monitor and adjust the quality of the satellite signal in real time, automatically perform fault - tolerance processing, and avoid the failure of the command system due to communication interruption.

[0012] Preferably, in S3, after analyzing the increase in phase noise, generate an abnormal phase noise increase index. The method for obtaining the abnormal phase noise increase index is as follows:

[0013] Obtain the original time - domain signal x(t), expressed as: , where N is the number of data points, is the sampled time - domain signal value. Use the fast Fourier transform to convert the time - domain signal into a frequency - domain signal. The formula for the Fourier transform is: ; where: X(f) is the representation of the signal in the frequency domain, called the spectrum, f is the frequency, j is the imaginary unit, is the kernel function of the Fourier transform. By calculating the amplitude spectrum and phase spectrum of the spectrum X(f), obtain the phase noise information. The phase noise is expressed as: ; where: L(f) represents the phase noise spectral density, is the square of the amplitude of the spectrum X(f), representing the signal strength, is a constant. Based on the spectrum analysis, compare the spectra and in two time periods, and calculate the abnormal phase noise increase index. The expression is: ; where: SD is the abnormal phase noise increase index.

[0014] Preferably, in S3, after analyzing the fluctuation of the carrier - to - interference ratio, generate a carrier - to - interference ratio fluctuation index. The method for obtaining the carrier - to - interference ratio fluctuation index is as follows:

[0015] First, obtain the time - domain data of the C / I signal in the frequency range. C / I represents the ratio of carrier power to interference power. Calculate a C / I value at each moment. Divide the C / I signal into multiple bins, and each bin represents a discrete C / I range. Calculate the frequency of the C / I signal appearing in each bin, that is, the probability of the C / I value within the bin. Assume that in M intervals, pi represents the probability of the C / I value in the i - th interval, and calculate the probability , and the expression is: , For the discrete probability distribution of the C / I signal, calculate the entropy H of the C / I signal: ; where: is the probability of the i-th interval, calculate the inter-carrier interference ratio fluctuation index, and the expression is: ; in the formula, BK is the inter-carrier interference ratio fluctuation index, ΔH is the difference in entropy values of the C / I signal at different time periods, is the entropy value in the reference state.

[0016] Preferably, convert the phase noise increase anomaly index and the inter-carrier interference ratio fluctuation index into a comprehensive feature vector, use the comprehensive feature vector as the input of the machine learning model, and use the machine learning model to predict the probability analysis value label of the satellite signal distortion situation for each group of comprehensive feature vectors as the prediction target, and use minimizing the sum of the prediction errors of the probability analysis value labels of all satellite signal distortion situations as the training target to train the machine learning model until the sum of the prediction errors reaches convergence and stop the model training, and determine the probability analysis value of the satellite signal distortion situation according to the model output result, where the machine learning model is a polynomial regression model.

[0017] Preferably, compare the obtained probability analysis value of the satellite signal distortion situation with a preset probability analysis value reference threshold. If the probability analysis value of the satellite signal distortion situation is greater than or equal to the preset probability analysis value reference threshold, classify it as a satellite signal distortion situation; if the probability analysis value of the satellite signal distortion situation is less than the preset probability analysis value reference threshold, classify it as a satellite signal without distortion situation.

[0018] Preferably, in S5, the satellite communication link monitoring system first monitors the quality of the satellite signal in real time. When the signal quality is lower than the set threshold, it automatically triggers the switching mechanism of the standby satellite communication channel or the standby channel; and gradually reduces the data transmission load of the main channel. After switching to the standby channel, the system continues to monitor the signal quality of the standby channel and predicts the long-term performance of the standby channel, and adjusts the usage priority of the standby channel according to the prediction result. Once the signal quality of the main channel returns to the predetermined available range, the system will automatically switch back to the main channel.

[0019] The present invention also provides an emergency command system based on satellite communication, including a data acquisition module, a communication and decision module, a monitoring and analysis module, a management module, and a fault tolerance processing module;

[0020] Data acquisition module: When an emergency event occurs, it obtains the on-site information of the disaster area in real time through the satellite communication network, including geographical location, disaster assessment, and resource demand data;

[0021] Communication and Decision-making Module: Utilize the satellite communication channel to transmit on-site information of the disaster area to the emergency command center. At the emergency command center, based on the real-time data of the satellite signal, conduct dynamic command decision-making to optimize resource allocation and emergency response strategies;

[0022] Monitoring and Analysis Module: During the satellite signal transmission process, conduct real-time monitoring and analyze the phase noise level of the satellite signal and the carrier-to-interference ratio of the satellite signal to determine whether the satellite signal is distorted;

[0023] Management Module: When the satellite signal is distorted, automatically switch to the backup satellite communication channel to supplement information transmission to ensure the smoothness of information and the continuous operation of the command system;

[0024] Fault Tolerance Processing Module: Utilize the satellite communication link monitoring system to conduct real-time monitoring and adjustment of the quality of the satellite signal, automatically perform fault tolerance processing, and avoid the failure of the command system due to communication interruption.

[0025] In the above technical solution, the technical effects and advantages provided by the present invention:

[0026] 1. By real-time monitoring the fluctuations of the phase noise and carrier-to-interference ratio of the satellite signal, the present invention can accurately judge the quality change of the satellite signal, and when the signal is distorted, automatically switch to the backup satellite communication channel to ensure the continuity of information transmission and the stable operation of the command system. Combining the real-time adjustment and fault tolerance processing mechanism of the satellite communication link monitoring system, the system can flexibly respond to signal quality fluctuations in different environments, avoid the failure of the command system due to communication interruption, and thus provide efficient emergency command support for the disaster area.

[0027] 2. The present invention adopts a machine learning model to predict the probability of satellite signal distortion through comprehensive feature vectors, realizing intelligent monitoring and early warning of the quality of satellite signals. By minimizing the prediction error, the model can adjust the signal processing strategy in real time to adapt to the dynamically changing communication environment. When the signal quality is restored, the system can automatically switch back to the main channel and gradually resume data transmission on the main channel to ensure the continuity and reliability of the command system. This technology not only improves the response efficiency of the emergency command system but also optimizes resource allocation, ensuring smooth information flow and timely decision-making in disaster emergency response. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings required to be used in the embodiments. Obviously, the drawings described below are only some embodiments recorded in the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings.

[0029] Figure 1This is the flowchart of the method of the present invention.

[0030] Figure 2 This is the system module diagram of the present invention. Specific implementation manners

[0031] 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 making creative efforts shall fall within the protection scope of the present invention.

[0032] Example 1, please refer to Figure 1 As shown, a method for emergency command based on satellite communication in this embodiment includes the following steps:

[0033] S1: When an emergency occurs, the on-site information of the disaster area is obtained in real time through the satellite communication network, including geographical location, disaster assessment and resource demand data;

[0034] S2: Using the satellite communication channel, the on-site information of the disaster area is transmitted to the emergency command center. In the emergency command center, dynamic command decisions are made according to the real-time data of the satellite signal to optimize resource allocation and emergency response strategies;

[0035] S3: During the transmission of the satellite signal, real-time monitoring and analysis of the phase noise level of the satellite signal and the carrier-to-interference ratio of the satellite signal are carried out to determine whether the satellite signal is distorted;

[0036] S4: When the satellite signal is distorted, it is automatically switched to the standby satellite communication channel to supplement information transmission to ensure the smooth flow of information and the continuous operation of the command system;

[0037] S5: Using the satellite communication link monitoring system, the quality of the satellite signal is monitored and adjusted in real time, and fault tolerance processing is automatically carried out to avoid the failure of the command system due to communication interruption.

[0038] In S1, when an emergency occurs, the specific process of obtaining the on-site information of the disaster area in real time through the satellite communication network, including geographical location, disaster assessment and resource demand data, involves multiple links, aiming to ensure the rapid and accurate transmission of the disaster area information, so as to support the command center to make timely and effective decisions.

[0039] Satellite positioning system: By accessing satellite positioning systems (such as GPS, GLONASS, etc.), the emergency command system can obtain real-time geographical location information of the disaster area. Through satellite signals, the command center can obtain the precise coordinates (latitude, longitude, altitude, etc.) of the disaster area and the dynamic changes in the specific location.

[0040] Real-time navigation and map updating: Satellite communication can provide real-time navigation support for the disaster area. Through satellite images and data, the locations of various places, shelters, hospitals, transportation facilities, etc. in the disaster area are updated. The command center can, based on this data, understand the geographical distribution of the disaster area and quickly assess which areas are severely affected and which areas need to be rescued first.

[0041] Positioning of emergency personnel: Satellite communication can also be used to track the positions of rescue personnel and equipment in real time to ensure the coordination of rescue operations and the efficient allocation of resources.

[0042] Satellite remote sensing technology: Satellite remote sensing technology can obtain ground images of the disaster area through various sensors carried by satellites (such as optical, infrared, radar, etc.). These images can reflect the detailed situation of the disaster area, including the damage degree of post-disaster infrastructure, road accessibility, water flooding situation, etc. Image processing and analysis: Through remote sensing images, information such as the affected area, severity, and traffic interruption areas in the disaster area can be extracted and transmitted to the command center. Advanced image processing technologies (such as automated analysis, machine learning, etc.) can help commanders quickly identify the areas most severely affected.

[0043] Disaster situation data integration: Through the satellite communication network, integrate the disaster situation assessment results (such as casualties, building damage, road closures, etc.) with other disaster area data (meteorology, environment, etc.) to form a comprehensive disaster situation report. Dynamic disaster situation update: Satellite communication can provide continuous real-time images and data streams for the disaster area, enabling the command center to continuously update the disaster situation assessment and timely adjust rescue strategies.

[0044] Material demand assessment: Emergency command terminals in the disaster area (such as rescue command vehicles, temporary communication stations, on-site command centers, etc.) transmit material demand information to the command center in real time through the satellite communication network, including food, medical supplies, clothing, drinking water, rescue equipment, etc. The demand data in the disaster area is transmitted to the satellite network through the input devices of the emergency terminals (such as handheld terminals, mobile communication devices, etc.).

[0045] Real-time monitoring of resource status: Satellite communication can not only obtain the resource demands in the disaster area but also monitor the distribution of existing resources. For example, satellite images can help the command center understand the storage situation of various material reserve warehouses and medical facilities, providing a basis for subsequent material allocation.

[0046] Personnel requirements and deployment: Based on the disaster assessment, the satellite communication network can obtain the personnel requirements of the disaster area, including the urgent needs of medical assistance, rescue teams and other professionals. The command center can deploy according to these needs to ensure a rapid and effective resource response.

[0047] By integrating geographic location information, disaster assessment and resource demand data into the emergency command system through satellite communication networks, the command center can conduct multi-dimensional comprehensive analysis and assess the overall situation in the disaster area. This data fusion can help commanders identify the most urgent needs and prioritize the mobilization of resources.

[0048] Emergency decision-making model: Combined with real-time satellite data, the command center can use data-based decision support systems to optimize emergency response. For example, the system can automatically generate the most appropriate rescue plan based on the resource needs, weather forecast, and disaster situation in the disaster area, and issue instructions to the on-site rescue team through satellite communications.

[0049] Remote coordination and real-time feedback: Satellite communication networks enable command organizations at all levels to obtain real-time feedback information from disaster areas. The emergency command center can interact and coordinate with emergency teams, rescue personnel, medical institutions, etc. in real time through the network to ensure that various rescue operations can be carried out synchronously.

[0050] In this application, through the satellite communication network, the command center can obtain the precise geographic location of the disaster area, disaster assessment data and real-time resource demand information, so as to make quick and accurate decisions. The acquisition and analysis of these real-time data enables the command center to efficiently dispatch resources, optimize emergency response strategies, and improve the overall efficiency of post-disaster recovery work.

[0051] In S2, on-site information of the disaster area is collected through satellite communication channels. This information usually includes the geographical location of the disaster area, disaster assessment data (such as the scope of the disaster, casualties, infrastructure damage, etc.), meteorological data, and resource demand information. This information can be collected in real time through various on-site sensors (such as remote sensing images, temperature, humidity, air pressure, etc.). The on-site information is sent to the satellite communication network through the emergency communication terminal in the disaster area (such as satellite phone, satellite data transmission equipment), and then transmitted to the emergency command center through the satellite channel. In this process, the satellite channel plays a key role in ensuring smooth communication over long distances and without ground networks. Especially when the ground communication infrastructure is damaged, the satellite communication channel is particularly important.

[0052] After the emergency command center receives the disaster area information transmitted by satellite, it analyzes the real-time data through the data processing platform. With the help of advanced data analysis tools (such as Geographic Information System GIS, disaster assessment system, artificial intelligence decision support system, etc.), the command center can quickly identify the changes in the disaster area, including the disaster scope, the degree of disaster, the damage of key facilities, etc. In the case of constantly changing disaster situations, the command center makes dynamic decisions using real-time data. For example, when the disaster situation in a certain area intensifies, the command center can adjust the rescue priority in real time, change the direction of resource allocation, and ensure that urgently needed resources (such as medical teams, rescue supplies, etc.) are mobilized in the first place. The command center can also predict the development trend of the disaster situation through the trend analysis of satellite data. Based on the combination of historical data and real-time satellite information, the command center can predict the subsequent impacts of certain disaster events, such as floods, landslides, etc., and make early warnings and emergency deployments.

[0053] The emergency command center can, through the disaster area resource demand information received by satellite signals, evaluate the material needs (such as medical supplies, food, drinking water, etc.) and personnel deployment needs in the disaster area in real time. According to the actual needs of the disaster area, the command center quickly mobilizes rescue teams, material transportation, medical resources, etc., to ensure that resources can be timely and accurately delivered to the places where they are most needed. The command center adjusts the priority of the emergency response according to the situation of the disaster area reflected by satellite data. For example, when some roads in the disaster area are blocked or communication is interrupted, the command center can select the optimal rescue route based on real-time satellite images and traffic data to ensure that the rescue team can enter the disaster area smoothly. For some areas with extremely urgent medical resource needs, the command center will give priority to dispatching hospitals, medical supplies, etc. for support. The emergency response is not just a one-time deployment. As the disaster situation changes, the resource allocation and emergency strategies also need to be adjusted in real time. For example, when the meteorological conditions in a certain disaster area change, resulting in new disasters, the command center will promptly obtain the meteorological data transmitted by the satellite communication network, so as to adjust the response strategy and mobilize new resources to ensure the continuity of emergency rescue.

[0054] Satellite communication can ensure efficient information sharing and collaborative decision-making among emergency command centers in different regions. For example, when the disaster area is large and widely distributed, the command centers in multiple regions can share on-site information and response measures in real time through satellite communication, so as to avoid duplication or dispersion of resources and rescue forces, and ensure the integration and efficiency of command. The real-time nature of satellite communication ensures that the command center can obtain the situation in the disaster area at the first time of the disaster occurrence and make a rapid response. Through the instant transmission of disaster situation data, the command center can directly enter the rescue state, avoiding response delays caused by information lag.

[0055] In S3, phase noise refers to the random fluctuations of the carrier phase of a satellite signal over time, usually caused by atmospheric disturbances during signal propagation, unstable equipment performance, or other external interferences. Phase noise can lead to unstable signal phase, thereby affecting the demodulation quality of the signal and even potentially causing data loss or communication failure.

[0056] In a satellite communication system, a dedicated phase noise analysis instrument or software is often used to monitor the received satellite signal in real time. Normal phase noise should be within a certain range. If the phase noise increases abnormally, it may be due to ionospheric disturbances in the atmosphere, equipment failures, or signal attenuation. In this case, the increase in phase noise will directly affect the stability and accuracy of the signal, resulting in incorrect or lost information decoding. Therefore, real-time monitoring and analysis of the phase noise level help to detect signal distortion phenomena in a timely manner.

[0057] After analyzing the increase in phase noise, an abnormal phase noise increase index is generated. The method for obtaining the abnormal phase noise increase index is as follows:

[0058] First, obtain the original time-domain signal x(t), which is usually sampled time-series data, expressed as: , where N is the number of data points, is the sampled time-domain signal value. Use the fast Fourier transform to convert the time-domain signal into a frequency-domain signal. The formula for the Fourier transform is: ; where: X(f) is the representation of the signal in the frequency domain, called the spectrum, f is the frequency, j is the imaginary unit, is the kernel function of the Fourier transform. By calculating the amplitude spectrum and phase spectrum of the spectrum X(f), phase noise information can be obtained. The phase noise is expressed as: ; where: L(f) represents the phase noise spectral density, is the square of the amplitude of the spectrum X(f), representing the signal strength, is a constant. Based on spectral analysis, compare the spectra and within the same time period and calculate the abnormal phase noise increase index. The expression is: ; where: SD is the abnormal phase noise increase index. If the value of SD is large, it indicates that the increase in phase noise is more obvious and there may be an abnormality. If the SD value is small, it indicates that the phase noise has not increased significantly and the system state is normal.

[0059] The Carrier-to-Noise Ratio (C / N ratio) represents the ratio of the strength of the carrier signal to the noise signal. A higher C / N ratio indicates a stronger signal and less noise, resulting in better communication quality; while a lower C / N ratio means a weaker effective carrier of the signal, greater noise interference, poor communication quality, and may lead to signal distortion.

[0060] The satellite communication system can calculate the C / N ratio in real time through a signal analyzer. The ratio of the signal strength to the noise power can be obtained in real time through the signal quality monitoring module in the receiving device and transmitted to the emergency command center through a feedback mechanism. The C / N ratio is usually closely related to the Signal-to-Noise Ratio (SNR) of the signal. If the C / N ratio drops to a certain critical value, the decoding and data transmission capabilities of the communication system will be affected, and the signal will show obvious distortion, which may lead to information loss or decoding errors. Therefore, continuous monitoring of the C / N ratio can help detect the decline in signal quality in a timely manner and take corresponding repair measures. In a disaster scenario, the decrease in the C / N ratio may be due to factors such as signal attenuation, the influence of weather conditions (such as heavy rain, heavy snow, etc.), or communication instability caused by equipment failures.

[0061] After analyzing the fluctuation of the Carrier-to-Noise Ratio, the Carrier-to-Noise Ratio Fluctuation Index is generated. The method for obtaining the Carrier-to-Noise Ratio Fluctuation Index is as follows:

[0062] First, obtain the time-domain data of the C / I signal within a certain time period or frequency range. For example, C / I can be the ratio of the carrier power to the interference power, and a C / I value can be calculated at each moment. Normalize the C / I signal to ensure that the data is within the range of [0, 1]. Normalization can reduce the influence of dimensional differences and make subsequent processing more stable and unified.

[0063] Discretize the normalized C / I signal. Usually, the C / I signal is divided into multiple bins, each bin representing a discrete C / I range. Calculate the frequency of the C / I signal appearing in each bin, that is, the probability of the C / I value in that bin. Assuming there are M intervals, pi represents the probability of the C / I value in the i-th interval, and calculate the probability , and the expression is: , For the discrete probability distribution of the C / I signal, calculate the entropy H of the C / I signal: ; where: is the probability of the i-th interval. Calculate the Carrier-to-Noise Ratio Fluctuation Index, and the expression is: ; In the formula, BK is the Carrier-to-Noise Ratio Fluctuation Index, ΔH is the difference in entropy values of the C / I signal at different time periods, is the entropy value in the reference state, and usually, the entropy value of the C / I signal in the ideal or stable state can be taken.

[0064] Convert the phase noise increase anomaly index and the inter-carrier interference ratio fluctuation index into a comprehensive feature vector, and use the comprehensive feature vector as the input of the machine learning model. The machine learning model takes the probability analysis value label of predicting the distortion situation of satellite signals for each group of comprehensive feature vectors as the prediction target, and takes minimizing the sum of the prediction errors of the probability analysis value labels of all satellite signals with distortion situations as the training target, and trains the machine learning model until the sum of the prediction errors reaches convergence and then stops the model training. Determine the probability analysis value of the satellite signal with distortion situation according to the model output result, where the machine learning model is a polynomial regression model.

[0065] Compare the obtained probability analysis value of the satellite signal with distortion situation with the pre-set probability analysis value reference threshold. If the probability analysis value of the satellite signal with distortion situation is greater than or equal to the pre-set probability analysis value reference threshold, classify it as a satellite signal with distortion situation; if the probability analysis value of the satellite signal with distortion situation is less than the pre-set probability analysis value reference threshold, classify it as a satellite signal without distortion situation.

[0066] S4: When the satellite signal is distorted, automatically switch to the backup satellite communication channel to supplement information transmission to ensure smooth information flow and the continuous operation of the command system.

[0067] When the satellite signal is distorted, to ensure that information transmission is not affected, emergency measures need to be taken to ensure the continuity of the communication system. First, the system will monitor the quality of satellite signals in real time and judge whether the signal is distorted through the previously established prediction model. Once it is found that the signal quality deteriorates or is distorted, the system will automatically activate the backup satellite communication channel and quickly switch to this channel. This process is usually completed through an automated switching mechanism without manual intervention to reduce switching delay.

[0068] After switching to the backup satellite communication channel, the backup channel will immediately take over the task of information flow transmission to ensure that the communication is not interrupted and avoid the long-term impact of signal distortion on the command system or data transmission. The backup channel is usually similar to the main channel in terms of performance and bandwidth and can provide sufficient resources to maintain efficient communication.

[0069] In addition, to ensure the continuous operation of the command system, the use of the backup channel is not limited to a single communication task. It will also flexibly adjust the signal transmission priority according to real-time needs to ensure that emergency instructions, real-time data, and monitoring information can be transmitted to relevant personnel in a timely manner. This switching mechanism provides redundant protection for satellite communication and can effectively improve the reliability and emergency response ability of the communication system.

[0070] S5: Use the satellite communication link monitoring system to monitor and adjust the quality of satellite signals in real time, automatically perform fault tolerance processing, and avoid the failure of the command system due to communication interruption.

[0071] First of all, the satellite communication link monitoring system needs to monitor the quality of satellite signals in real time, including signal-to-noise ratio (SNR) and bit error rate (BER). The calculation formulas are as follows: Signal-to-noise ratio (SNR): ; where is the signal power at time t, is the noise power.

[0072] Set signal quality thresholds, including SNR threshold and BER threshold: For example, SNR threshold: SNRthreshold = 10 dB (for example, the specific value can be adjusted according to system requirements).

[0073] Once the signal quality is detected to be lower than the threshold, the system should immediately activate the backup satellite communication channel or backup channel to avoid communication interruption. The specific steps are as follows:

[0074] Step 1: Monitor the signal quality Q(t) in real time, such as SNR, BER, phase noise, etc.

[0075] Step 2: If Q(t) < Qthreshold, it is judged that the signal is distorted, and the system automatically switches to the backup satellite channel, where Qthreshold is the signal quality threshold;

[0076] Step 3: After the backup channel is switched, start synchronizing the new signal data stream and gradually reduce the data transmission load of the main channel.

[0077] After switching to the backup channel, the satellite communication link monitoring system needs to continue to monitor the quality of the new signal to ensure that there are no similar problems with the backup channel. In addition, the system also needs to record the quality data of the main channel and the backup channel for subsequent performance analysis and optimization.

[0078] After switching, monitor the quality of the backup channel (such as SNR, BER, phase noise, etc.). Use regression analysis or machine learning models to predict the long-term performance of the backup channel, and adjust the usage priority of the backup channel according to the prediction results. Once the signal quality of the main channel returns to the predetermined available range (that is, the quality is better than the preset threshold), the system will automatically switch back to the main channel, while ensuring that there is no information loss or communication interruption during this process. After the signal quality of the main channel exceeds the threshold, automatically resume the main channel transmission. Gradually switch the data traffic of the backup channel back to the main channel.

[0079] In this embodiment, when an emergency occurs, on-site information of the disaster area is obtained in real time through the satellite communication network, including geographical location, disaster assessment, and resource demand data, and this information is transmitted to the emergency command center. At the command center, dynamic decision-making is carried out using the real-time data of satellite signals to optimize resource allocation and emergency response strategies. During the signal transmission process, the phase noise and carrier-to-interference ratio of satellite signals are monitored and analyzed in real time to determine whether the signal is distorted. If the signal is distorted, the system will automatically switch to the backup satellite communication channel to ensure the smooth transmission of information and the continuous operation of the command system. At the same time, the satellite communication link monitoring system will monitor and adjust the signal quality in real time, implement automatic fault tolerance processing, and avoid communication interruption from affecting the normal operation of the command system.

[0080] Embodiment 2, please refer to Figure 2 As shown, the emergency command system based on satellite communication in this embodiment includes a data acquisition module, a communication and decision-making module, a monitoring and analysis module, a management module, and a fault tolerance processing module;

[0081] Data acquisition module: When an emergency occurs, on-site information of the disaster area is obtained in real time through the satellite communication network, including geographical location, disaster assessment, and resource demand data;

[0082] Communication and decision-making module: Using the satellite communication channel, the on-site information of the disaster area is transmitted to the emergency command center. At the emergency command center, dynamic command decisions are made based on the real-time data of satellite signals to optimize resource allocation and emergency response strategies;

[0083] Monitoring and analysis module: During the satellite signal transmission process, the phase noise level of satellite signals and the carrier-to-interference ratio of satellite signals are monitored and analyzed in real time to determine whether the satellite signal is distorted;

[0084] Management module: When the satellite signal is distorted, it automatically switches to the backup satellite communication channel to supplement information transmission to ensure the smoothness of information and the continuous operation of the command system;

[0085] Fault tolerance processing module: Using the satellite communication link monitoring system, the quality of satellite signals is monitored and adjusted in real time, and automatic fault tolerance processing is carried out to avoid the command system from failing due to communication interruption.

[0086] The above formulas are all dimensionless and take their numerical values for calculation. The formulas are obtained by collecting a large amount of data and performing software simulation to obtain a formula that is closest to the real situation. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0087] It should be understood that the term "and / or" in this text is merely a description of the association relationship of associated objects, indicating that three relationships can exist. For example, A and / or B can represent: A exists alone, A and B exist simultaneously, and B exists alone. Here, A and B can be singular or plural. Additionally, the character " / " in this text generally represents an "or" relationship between the associated objects before and after, but it may also represent an "and / or" relationship. The specific meaning can be understood by referring to the context before and after.

[0088] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed in this text can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0089] As described above, the above is only the specific implementation manner of this application, but the protection scope of this application is not limited thereto. Any person skilled in the art within the technical scope disclosed in this application can easily think of changes or substitutions, which should all be covered by the protection scope of this application.

Claims

1. An emergency command method based on satellite communication, characterized in that: The following steps are involved: S1: When an emergency occurs, real-time on-site information of the disaster area is obtained through the satellite communication network, including geographic location, disaster assessment and resource demand data; S2: Use satellite communication channels to transmit on-site information from disaster areas to the emergency command center, where dynamic command decisions are made based on real-time data from satellite signals to optimize resource allocation and emergency response strategies; S3: During the satellite signal transmission process, the phase noise level of the satellite signal and the carrier-to-carrier interference ratio of the satellite signal are monitored and analyzed in real time to determine whether the satellite signal is distorted. Specifically, the increase of the phase noise is analyzed to generate a phase noise increase abnormality index. The method for obtaining the phase noise increase abnormality index is as follows: the original time domain signal x(t) is obtained, which is expressed as: , where N is the number of data points, For the sampled time domain signal value, use fast Fourier transform to convert the time domain signal into frequency domain signal. The formula of Fourier transform is: ; Where: X(f) is the representation of the signal in the frequency domain, called the spectrum, f is the frequency, j is the imaginary unit, is the kernel function of Fourier transform. By calculating the amplitude spectrum and phase spectrum of the spectrum X(f), the phase noise information is obtained. The phase noise is expressed as: ; Where: L(f) represents the phase noise spectral density, is the square of the amplitude of the spectrum X(f), indicating the signal strength, is a constant. Based on spectrum analysis, the spectrum in two time periods is and By comparison, the phase noise increase abnormality index is calculated, and the expression is: ; Where: SD is the phase noise increase abnormal index; S4: When satellite signals are distorted, it automatically switches to the backup satellite communication channel to supplement information transmission, ensuring smooth information flow and continuous operation of the command system; S5: Use the satellite communication link monitoring system to monitor and adjust the quality of satellite signals in real time, and automatically perform fault-tolerant processing to avoid command system failure due to communication interruption.

2. The satellite communication-based emergency command method according to claim 1, characterized in that: In S3, after analyzing the fluctuation of the inter-carrier interference ratio, an inter-carrier interference ratio fluctuation index is generated. The method for obtaining the inter-carrier interference ratio fluctuation index is: First, obtain the time domain data of the C / I signal in the frequency interval. C / I represents the ratio of carrier power to interference power. Calculate a C / I value at each moment and divide the C / I signal into multiple boxes. Each box represents a discrete C / I range. Calculate the frequency of occurrence of the C / I signal in each box, that is, the probability of the C / I value in the box. Set it in M ​​intervals. Pi represents the probability of the C / I value in the i-th interval. Calculate the probability , the expression is: ,For the discretized probability distribution of C / I signal, calculate the entropy H of C / I signal: ;in: is the probability of the ith interval, and the inter-carrier interference ratio fluctuation index is calculated. The expression is: ; Where BK is the inter-carrier interference ratio fluctuation index, ΔH is the difference in entropy values ​​of the C / I signal in different time periods, is the entropy value in the reference state.

3. The satellite communication-based emergency command method according to claim 2, characterized in that: The phase noise increase anomaly index and the inter-carrier interference ratio fluctuation index are converted into comprehensive feature vectors, and the comprehensive feature vectors are used as the input of the machine learning model. The machine learning model uses the probability analysis value label of the satellite signal distortion predicted by each group of comprehensive feature vectors as the prediction target, and takes minimizing the sum of the prediction errors of the probability analysis value labels of all satellite signals with distortion as the training target. The machine learning model is trained until the sum of the prediction errors converges, and the model training is stopped. The probability analysis value of the satellite signal distortion is determined according to the model output results, wherein the machine learning model is a polynomial regression model.

4. The satellite communication-based emergency command method according to claim 3, characterized in that: The acquired probability analysis value of the satellite signal distortion is compared with the preset probability analysis value reference threshold. If the probability analysis value of the satellite signal distortion is greater than or equal to the preset probability analysis value reference threshold, it is classified as the satellite signal distortion; if the probability analysis value of the satellite signal distortion is less than the preset probability analysis value reference threshold, it is classified as the satellite signal non-distortion.

5. The satellite communication-based emergency command method according to claim 1, characterized in that: In S5, the satellite communication link monitoring system first monitors the quality of the satellite signal in real time. When the signal quality is lower than the set threshold, it automatically triggers the switching mechanism of the backup satellite communication channel or the backup channel; and gradually reduces the data transmission load of the main channel. After switching to the backup channel, the system continues to monitor the signal quality of the backup channel and predicts the long-term performance of the backup channel. The use priority of the backup channel is adjusted according to the prediction results. Once the signal quality of the main channel recovers to the predetermined available range, the system will automatically switch back to the main channel.

6. An emergency command system based on satellite communication, used to implement an emergency command method based on satellite communication according to any one of claims 1 to 5, characterized in that: It includes data acquisition module, communication and decision-making module, monitoring and analysis module, management module and fault-tolerant processing module; Data collection module: When an emergency occurs, it obtains real-time on-site information of the disaster area through the satellite communication network, including geographic location, disaster assessment and resource demand data; Communication and decision-making module: Use satellite communication channels to transmit on-site information from disaster areas to the emergency command center. At the emergency command center, dynamic command decisions are made based on real-time data from satellite signals to optimize resource allocation and emergency response strategies. Monitoring and analysis module: During the satellite signal transmission process, real-time monitoring and analysis of the satellite signal’s phase noise level and the satellite signal’s inter-carrier interference ratio are performed to determine whether the satellite signal is distorted; Management module: When satellite signals are distorted, it automatically switches to the backup satellite communication channel to supplement information transmission, ensuring smooth information flow and continuous operation of the command system; Fault-tolerant processing module: Utilize the satellite communication link monitoring system to monitor and adjust the quality of satellite signals in real time, and automatically perform fault-tolerant processing to avoid command system failure due to communication interruption.

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