Network communication system and method for high-cold high-altitude hard area

Abstract

The invention relates to the technical field of network communication, and particularly discloses a network communication system and method for a high-cold high-altitude hard region, and the system comprises a signal enhancement and path optimization module which generates a plan about a beam dynamic adjustment parameter and transmitting power through a matrix antenna in combination with environment data obtained in real time; the hybrid communication module selects any one of microwave transmission, satellite communication and ground mobile communication according to an intelligent algorithm so as to execute the plan; and the monitoring maintenance module analyzes the basic state of the communication equipment obtained in real time to obtain a predicted potential fault, and generates a maintenance strategy corresponding to the predicted potential fault according to the expert knowledge base. According to the invention, through reasonable planning of a transmission path, signals are prevented from passing through complex terrains and atrocious climate areas in a transmission process, so that attenuation and interference of the signals are reduced.

Description

Technical Field

[0001] The present invention relates to the field of network communication technology, and in particular to a network communication system and method for high-cold, high-altitude and dangerous areas. Background Art

[0002] Cold and high-altitude areas, such as the Qinghai-Tibet Plateau and Kunlun Mountains, are characterized by high altitude, complex terrain, and harsh climate. Network communications in these areas face many challenges, including:

[0003] 1. The annual average temperature in high-altitude and cold regions is low, and the winter temperature is extremely low, even reaching dozens of degrees below zero. Long-term low-temperature environment has a serious impact on the performance and quality of communication equipment, such as a sharp drop in battery storage and discharge capacity, and accelerated aging of equipment materials.

[0004] 2. As the altitude increases, the atmospheric pressure gradually decreases and the air becomes thinner, causing communication equipment to face greater attenuation and interference when transmitting signals. In addition, low air pressure may also cause the performance of internal components of the equipment to decline, affecting communication quality;

[0005] 3. The terrain in high-altitude and cold regions is complex, with undulating mountains, resulting in uneven coverage of public network signals and even large blind spots. These blind spots prevent communication equipment from stably accessing the network and achieving effective data transmission and communication;

[0006] The most prominent problem mentioned above lies in the second challenge, because signal attenuation and interference will lead to a decline in communication quality, which manifests itself in poor call quality, slow data transmission speed, data loss and other problems. Among them, the most prominent is data loss, and how to solve this problem is expected to be well solved. Summary of the invention

[0007] The purpose of the present invention is to provide a network communication system and method for high-cold, high-altitude and dangerous areas to solve the above-mentioned problems.

[0008] In order to achieve the above-mentioned purpose, the present invention provides the following technical solutions: a network communication system for high-cold, high-altitude and dangerous areas, comprising:

[0009] The signal enhancement and path optimization module uses the matrix antenna and real-time environmental data to generate a plan for dynamic beam adjustment parameters and transmission power.

[0010] A hybrid communication module selects any one of microwave transmission, satellite communication and ground mobile communication according to an intelligent algorithm to execute the plan;

[0011] The monitoring and maintenance module analyzes the basic status of communication equipment in real time to predict potential faults and generates corresponding maintenance strategies based on the expert knowledge base.

[0012] Preferably, the maintenance strategy includes at least an emergency communication strategy, which automatically switches the call request to a satellite phone when the communication device has no byte beats.

[0013] Preferably, the environmental data includes temperature, air pressure, wind speed, terrain data and signal quality.

[0014] Preferably, the basic status includes network transmission byte beat speed, network delay time and device temperature.

[0015] Preferably, the signal enhancement and path optimization module includes:

[0016] A data processing unit performs preprocessing on the collected environmental data, wherein the preprocessing includes denoising, filtering and normalization, and then performs feature extraction on the preprocessed environmental data according to preset terms to obtain a necessary data set;

[0017] The beam dynamic adjustment calculation unit calculates the optimal pointing direction of the beam using a phased array algorithm according to the target position of the static communication unit and the obstacle information in the environment contained in the necessary data set, and then obtains the width and shape of the dynamically adjusted beam based on the obtained optimal pointing direction through a recursive least squares algorithm;

[0018] The transmission power adjustment planning unit extracts key information and evaluates the status of the current communication environment based on the necessary data set including signal-to-noise ratio, received signal strength, interference power and number of interference sources, and then determines the amplitude of the transmission power adjustment based on the evaluation results.

[0019] Preferably, the method of calculating the optimal pointing direction of the beam by using a phased array algorithm comprises the following steps:

[0020] S11. Two spatial rectangular coordinate systems need to be established, including a ground coordinate system (O-XYZ) and a phased array antenna coordinate system (O'-X'Y'Z'). The conversion relationship between the ground coordinate system and the phased array antenna coordinate system includes translation and rotation. The formula is as follows:

[0021]

[0022] Among them, Δx0, Δy0 and Δz0 are the corresponding xyz coordinate points, G is the rotation matrix formed by rotating in the XYZ order, m is the scale factor, which is a preset fixed value, x1, y1, z1 are the positions of the array in the ground coordinate system, x2, y2, z2 are the positions of the array in the ground coordinate system and the positions of the array in the antenna coordinate system;

[0023] S12, based on the obtained coordinates of the plurality of matrix antennas in the ground coordinate system and the antenna coordinate system, select some of the coordinates as common points and use the remaining coordinates as a measurement set;

[0024] S13, importing the coordinates of the common point into the space coordinate model to obtain a set of equations containing at least 12 unknown parameters, and then solving the set of equations by total least squares method to obtain accurate values ​​of conversion parameters, thereby obtaining the beam pointing angle of the matrix antenna;

[0025] S14, executing step S13 on the measurement collection, and performing coordinate parameter comparison between the obtained directional angle of the matrix antenna beam and the directional angle of the matrix antenna beam obtained in step S13:

[0026] If the coordinate difference is not less than 0.2-0.03 mm, the beam pointing angle of the matrix antenna obtained in step S13 is executable;

[0027] If the coordinate difference is greater than 0.2-0.03mm, it is judged as a data error and the sensor for obtaining the environmental data is damaged, and manual troubleshooting is performed.

[0028] Preferably, the step of dynamically adjusting the width and shape of the beam by a recursive least squares algorithm comprises the following steps:

[0029] S21. For each new input signal x(n) and expected signal d(n), calculate the prior error:

[0030] e(n)=d(n)-W H X(n);

[0031] Where H represents the conjugate transpose, and w is the zero vector for initializing the weight vector;

[0032] S22. Calculate the gain vector:

[0033] k(n)=(λ -1 P(n-1)x(n)) / (1+λ -1 x H (n)P(n-1)x(n));

[0034] Among them, λ is a random forgetting factor, usually close to 1 but less than 1, P is a positive definite matrix for initializing the inverse correlation matrix, and k is the zero vector for initializing the gain vector;

[0035] S23. Update weight vector:

[0036] w(n)=w(n-1)+k(n)e * (n);

[0037] Among them, * is complex conjugate;

[0038] S24, update the inverse correlation matrix:

[0039] P(n)=λ -1 [P(n-1)-k(n)x H (n)P(n-1)];

[0040] S25. Use the updated weight vector w(n) to calculate the output signal at the current moment:

[0041] y(n)=w H (n)x(n);

[0042] Preferably, the processing steps performed by the transmit power adjustment planning unit to obtain the amplitude of the transmit power adjustment include:

[0043] S31, presetting a target RSSI value, wherein the target RSSI value is the signal strength expected to be received in the target area;

[0044] S32, measuring the received signal strength in real time and comparing it with the target RSSI value;

[0045] S33. According to the comparison result, the transmission power is dynamically adjusted: P tx,new =P tx,old +AP, where Pt x,new is the adjusted transmit power, Pt x,old is the transmit power before adjustment, and AP is the power adjustment amount.

[0046] Preferably, the power adjustment amount AP is calculated as k·(RSSI target -RSSI measured );

[0047] Where k is a proportional coefficient, RSSI target is the target RSSI value; RSSI measured is the actual measured RSSI value.

[0048] 10. A network communication method for high-cold, high-altitude and dangerous areas, used to implement the network communication system for high-cold, high-altitude and dangerous areas as described in any one of claims 1 to 9, characterized in that it comprises the following steps:

[0049] S01, obtaining real-time current environmental data, and searching in a historical database to obtain a historical data set corresponding to the current environmental data;

[0050] S02. Sorting out the acquired historical data set to obtain a plurality of signal delay parameters;

[0051] S03, based on obtaining the plurality of signal delay parameters, selecting a communication means with the highest number of activation frequencies determined within the signal delay parameters as a communication device;

[0052] S04. Optimizing the signal transmission path through an algorithm according to the acquired current environment data to generate a plan for beam dynamic adjustment parameters and transmission power;

[0053] S05, the communication device performs parameter adjustment based on the received plan;

[0054] S06. During the execution of step S05, data on the basic status of the communication device is collected, and a corresponding maintenance strategy is described and enabled based on the basic status obtained.

[0055] In the above technical solution, the present invention provides a network communication system and method for high-cold, high-altitude and dangerous areas, which has the following beneficial effects:

[0056] 1. Adaptive signal enhancement technology is used to dynamically adjust the transmission power and receiving sensitivity of communication signals according to real-time environmental data to reduce signal attenuation in thin air. At the same time, terrain data is used to optimize the signal transmission path through algorithms to avoid complex terrain and harsh climate areas and reduce signal interference.

[0057] 2. Use microwave transmission, satellite communication and ground mobile communication networks to form a complementary communication network architecture to ensure the continuity and stability of communication in signal blind spots or extreme weather conditions.

[0058] 3. Real-time monitoring of the operating status of communication equipment and network quality, predicting potential failures through data analysis, and automatically triggering maintenance strategies or issuing early warnings to reduce manual intervention and improve maintenance efficiency. In addition, emergency communication strategies are formulated and implemented to ensure unimpeded communication in emergency situations. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0060] Figure 1 A module diagram provided for an embodiment of the present invention;

[0061] Figure 2 An architecture diagram of a signal enhancement and path optimization module provided in an embodiment of the present invention;

[0062] Figure 3A flowchart provided for an embodiment of the present invention. DETAILED DESCRIPTION

[0063] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0064] Embodiment 1

[0065] like Figure 1-2 As shown, a network communication system for high-cold, high-altitude and dangerous areas, comprising:

[0066] The signal enhancement and path optimization module generates a plan for dynamic beam adjustment parameters and transmit power through the matrix antenna and combined with real-time environmental data. The environmental data includes temperature, air pressure, wind speed, terrain data and signal quality.

[0067] The hybrid communication module selects any one of microwave transmission, satellite communication and ground mobile communication according to the intelligent algorithm to execute the plan;

[0068] The monitoring and maintenance module analyzes the basic status of communication equipment in real time to predict potential faults and generates corresponding maintenance strategies based on the expert knowledge base. The basic status includes network transmission byte beat speed, network delay time and equipment temperature.

[0069] The maintenance strategy in the above embodiment at least includes an emergency communication strategy, which automatically switches the call request to the satellite phone when the communication device has no byte beats.

[0070] Furthermore, the signal enhancement and path optimization module in the above embodiment includes:

[0071] The data processing unit performs preprocessing on the collected environmental data, including denoising, filtering and normalization, and then performs feature extraction on the preprocessed environmental data according to preset terms to obtain the necessary data set;

[0072] The beam dynamic adjustment calculation unit uses the phased array algorithm to calculate the optimal pointing direction of the beam according to the target position of the static communication unit and the obstacle information in the environment contained in the necessary data set, and then uses the recursive least squares algorithm based on the obtained optimal pointing direction to obtain the width and shape of the dynamically adjusted beam. Among them:

[0073] 1. Calculating the optimal pointing direction of the beam using the phased array algorithm includes the following steps:

[0074] S11. Two spatial rectangular coordinate systems need to be established, including the ground coordinate system (O-XYZ) and the phased array antenna coordinate system (O'-X'Y′Z'). The conversion relationship between the ground coordinate system and the phased array antenna coordinate system includes translation and rotation. The formula is as follows:

[0075]

[0076] Among them, Δx0, Δy0 and Δz0 are the corresponding xyz coordinate points, G is the rotation matrix formed by rotating in the XYZ order, m is the scale factor, which is a preset fixed value, x1, y1, z1 are the positions of the array in the ground coordinate system, x2, y2, z2 are the positions of the array in the ground coordinate system and the positions of the array in the antenna coordinate system;

[0077] S12, based on the obtained coordinates of the multiple matrix antennas in the ground coordinate system and the antenna coordinate system, select some of the coordinates as common points and use the remaining coordinates as a measurement set;

[0078] S13, importing the coordinates of the common point into the space coordinate model to obtain a set of equations containing at least 12 unknown parameters, and then solving the set of equations by total least squares method to obtain the precise values ​​of the conversion parameters, thereby obtaining the beam pointing angle of the matrix antenna;

[0079] S14, executing step S13 on the measurement collection, and performing coordinate parameter comparison between the obtained directional angle of the matrix antenna beam and the directional angle of the matrix antenna beam obtained in step S13:

[0080] If the coordinate difference is not less than 0.2-0.03 mm, the beam pointing angle of the matrix antenna obtained in step S13 is executable;

[0081] If the coordinate difference is greater than 0.2-0.03mm, it is judged as a data error and the sensor for obtaining environmental data is damaged, and manual troubleshooting is performed.

[0082] The beam pointing angle is accurately calculated through the conversion relationship between the ground coordinate system and the phased array antenna coordinate system. It uses the total least squares method to solve the conversion parameters to ensure that the beam can accurately point to the target.

[0083] 2. The recursive least squares algorithm is used to dynamically adjust the width and shape of the beam, including the following steps:

[0084] S21. For each new input signal x(n) and expected signal d(n), calculate the prior error:

[0085] e(n)=d(n)-W H X(n);

[0086] Where H represents the conjugate transpose, and w is the zero vector for initializing the weight vector;

[0087] S22. Calculate the gain vector:

[0088] k(n)=(λ -1 P(n-1)x(n)) / (1+λ -1 x H (n)P(n-1)x(n));

[0089] Among them, λ is a random forgetting factor, usually close to 1 but less than 1, P is a positive definite matrix for initializing the inverse correlation matrix, and k is the zero vector for initializing the gain vector;

[0090] S23. Update weight vector:

[0091] w(n)=w(n-1)+k(n)e * (n);

[0092] Among them, * is complex conjugate;

[0093] S24, update the inverse correlation matrix:

[0094] P(n)=λ -1 [P(n-1)-k(n)x H (n)P(n-1)];

[0095] S25. Use the updated weight vector w(n) to calculate the output signal at the current moment:

[0096] y(n)=W H (n)x(n);

[0097] The RLS algorithm can be used to estimate the position or direction of the signal source, which usually involves processing array signals and beamforming. The position of the signal source can be estimated by calculating the beam output power or signal-to-noise ratio in different directions, which indirectly involves the concept of "distance". The azimuth and distance of the target can be estimated through beamforming and RLS algorithm.

[0098] The transmit power adjustment planning unit extracts key information and evaluates the current communication environment based on the necessary data set including signal-to-noise ratio, received signal strength, interference power and number of interference sources, and then determines the magnitude of the transmit power adjustment based on the evaluation results.

[0099] The above-mentioned transmission power adjustment planning unit executes the processing steps of obtaining the amplitude of the transmission power adjustment, including:

[0100] S3 1. Preset a target RSSI value, which is the signal strength expected to be received in the target area;

[0101] S32, measuring the received signal strength in real time and comparing it with the target RSSI value;

[0102] S33. According to the comparison result, the transmission power is dynamically adjusted: P tx,new =P tx,old +AP, where P tx,new is the adjusted transmit power, P tx,old is the transmit power before adjustment, and AP is the power adjustment amount.

[0103] 9. A network communication system for high-cold, high-altitude and dangerous areas according to claim 8, characterized in that the power adjustment amount AP is calculated as k·(RSSI target -RSSI measured );

[0104] Where k is a proportional coefficient, RSSI target is the target RSSI value; RSSI measured is the actual measured RSSI value.

[0105] According to the actual application scenarios and requirements, the power adjustment algorithm is optimized and adjusted to improve the performance and stability of the system. And by establishing a real-time monitoring and feedback mechanism, potential problems can be discovered and solved in a timely manner to ensure the normal operation and optimal performance of the system. Secondly, when adjusting the transmission power, it is necessary to ensure that it will not cause interference or damage to other devices or systems, and consider the reliability and stability of the system.

[0106] Embodiment 2

[0107] like Figure 3 As shown, a network communication method for high-cold, high-altitude and dangerous areas is used to implement the network communication system for high-cold, high-altitude and dangerous areas provided by Example 1, including the following steps:

[0108] S01, obtaining real-time current environmental data, and searching in a historical database to obtain a historical data set corresponding to the current environmental data;

[0109] S02. Sorting out the acquired historical data set to obtain a plurality of signal delay parameters;

[0110] S03, based on obtaining a plurality of signal delay parameters, selecting a communication means with the highest number of activation frequencies determined within the signal delay parameters as a communication device;

[0111] S04. Optimizing the signal transmission path through an algorithm based on the acquired current environment data to generate a plan for beam dynamic adjustment parameters and transmission power;

[0112] S05. The communication device adjusts parameters based on the received plan;

[0113] S06. During the execution of step S05, data on the basic status of the communication equipment will be collected, and a corresponding maintenance strategy will be described and enabled based on the obtained basic status.

[0114] In summary, adaptive signal enhancement technology is used to dynamically adjust the transmission power and receiving sensitivity of communication signals according to real-time environmental data to reduce the attenuation of signals in thin air; at the same time, terrain data is used to optimize the signal transmission path through algorithms to avoid complex terrain and harsh climate areas and reduce signal interference. Secondly, microwave transmission, satellite communication and ground mobile communication networks are used to form a complementary communication network architecture to ensure the continuity and stability of communication in signal blind spots or extreme weather conditions. Furthermore, by real-time monitoring of the operating status and network quality of communication equipment, potential faults are predicted through data analysis, and maintenance strategies are automatically triggered or early warnings are issued to reduce manual intervention and improve maintenance efficiency. And by formulating and implementing emergency communication strategies, communication can be unimpeded in emergency situations.

[0115] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0116] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0117] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0118] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0119] The present invention uses specific embodiments to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

[0120] The embodiments of the present application also provide a specific implementation of an electronic device capable of implementing all steps of the method in the above embodiments, and the electronic device specifically includes the following contents:

[0121] Processor, memory, communications interface and bus;

[0122] Wherein, the processor, memory, and communication interface communicate with each other via the bus;

[0123] The processor is used to call the computer program in the memory, and when the processor executes the computer program, all the steps in the method in the above embodiment are implemented.

[0124] The embodiments of the present application also provide a computer-readable storage medium capable of implementing all the steps of the method in the above embodiments, wherein a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, all the steps of the method in the above embodiments are implemented.

[0125] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the hardware + program embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment. Although the embodiment of this specification provides the method operation steps described in the embodiment or flow chart, more or less operation steps can be included based on conventional or non-creative means. The order of steps listed in the embodiment is only one way of executing the order of many steps, and does not represent the only execution order. When the device or terminal product in practice is executed, it can be executed in sequence or in parallel according to the method shown in the embodiment or the accompanying drawings (for example, a parallel processor or a multi-threaded processing environment, or even a distributed data processing environment). The term "include", "include" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, product or device including a series of elements includes not only those elements, but also includes other elements that are not explicitly listed, or also includes elements inherent to such a process, method, product or device. In the absence of more restrictions, it is not excluded that there are other identical or equivalent elements in the process, method, product or device including the elements. For the convenience of description, the above device is described by dividing it into various modules according to its functions. Of course, when implementing the embodiments of this specification, the functions of each module can be implemented in the same one or more software and / or hardware, or the module implementing the same function can be implemented by a combination of multiple sub-modules or sub-units. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the coupling or direct coupling or communication connection between each other shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms. The present invention is described with reference to the flowchart and / or block diagram of the method, device (system) and computer program product according to the embodiments of the present invention. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the process and / or box in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the process Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0126] Those skilled in the art will appreciate that the embodiments of this specification may be provided as methods, systems or computer program products. Therefore, the embodiments of this specification may be in the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the embodiments of this specification may be in the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes. Each embodiment in this specification is described in a progressive manner, and the same and similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts refer to the partial description of the method embodiment. In the description of this specification, the description of the reference term "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the embodiment of this specification.

[0127] In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradicting each other. The above is only an embodiment of the embodiment of this specification and is not intended to limit the embodiment of this specification. For those skilled in the art, the embodiment of this specification may have various changes and variations. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the embodiment of this specification shall be included in the scope of the claims of the embodiment of this specification.

Claims

1. A network communication system for high-cold, high-altitude and dangerous areas, characterized in that: include: The signal enhancement and path optimization module uses the matrix antenna and real-time environmental data to generate a plan for dynamic beam adjustment parameters and transmission power. A hybrid communication module selects any one of microwave transmission, satellite communication and ground mobile communication according to an intelligent algorithm to execute the plan; The monitoring and maintenance module analyzes the basic status of communication equipment in real time to predict potential faults and generates corresponding maintenance strategies based on the expert knowledge base.

2. A network communication system for high-cold, high-altitude and dangerous areas according to claim 1, characterized in that: The maintenance strategy at least includes an emergency communication strategy, which automatically switches the call request to the satellite phone when the communication device has no byte beats.

3. A network communication system for high-cold, high-altitude and dangerous areas according to claim 1, characterized in that: The environmental data includes temperature, air pressure, wind speed, terrain data and signal quality.

4. A network communication system for high-cold, high-altitude and dangerous areas according to claim 1, characterized in that: The basic status includes network transmission byte beat speed, network delay time and device temperature.

5. A network communication system for high-cold, high-altitude and dangerous areas according to claim 1, characterized in that: The signal enhancement and path optimization module includes: A data processing unit performs preprocessing on the collected environmental data, wherein the preprocessing includes denoising, filtering and normalization, and then performs feature extraction on the preprocessed environmental data according to preset terms to obtain a necessary data set; The beam dynamic adjustment calculation unit calculates the optimal pointing direction of the beam using a phased array algorithm according to the target position of the static communication unit and the obstacle information in the environment contained in the necessary data set, and then obtains the width and shape of the dynamically adjusted beam based on the obtained optimal pointing direction through a recursive least squares algorithm; The transmission power adjustment planning unit extracts key information and evaluates the status of the current communication environment based on the necessary data set including signal-to-noise ratio, received signal strength, interference power and number of interference sources, and then determines the amplitude of the transmission power adjustment based on the evaluation results.

6. A network communication system for high-cold, high-altitude and dangerous areas according to claim 5, characterized in that: The method of calculating the optimal pointing direction of the beam using a phased array algorithm comprises the following steps: S11. Two spatial rectangular coordinate systems need to be established, including a ground coordinate system (O-XYZ) and a phased array antenna coordinate system (O'-X'Y'Z'). The conversion relationship between the ground coordinate system and the phased array antenna coordinate system includes translation and rotation. The formula is as follows: Among them, Δx0, Δy0 and Δz0 are the corresponding xyz coordinate points, G is the rotation matrix formed by rotating in the XYZ order, m is the scale factor, which is a preset fixed value, x1, y1, z1 are the positions of the array in the ground coordinate system, x2, y2, z2 are the positions of the array in the ground coordinate system and the positions of the array in the antenna coordinate system; S12, based on the obtained coordinates of the plurality of matrix antennas in the ground coordinate system and the antenna coordinate system, select some of the coordinates as common points and use the remaining coordinates as a measurement set; S13, importing the coordinates of the common point into the space coordinate model to obtain a set of equations containing at least 12 unknown parameters, and then solving the set of equations by total least squares method to obtain accurate values ​​of conversion parameters, thereby obtaining the beam pointing angle of the matrix antenna; S14, executing step S13 on the measurement collection, and performing coordinate parameter comparison between the obtained directional angle of the matrix antenna beam and the directional angle of the matrix antenna beam obtained in step S13: If the coordinate difference is not less than 0.2-0.03 mm, the beam pointing angle of the matrix antenna obtained in step S13 is executable; If the coordinate difference is greater than 0.2-0.03mm, it is judged as a data error and the sensor for obtaining the environmental data is damaged, and manual troubleshooting is performed.

7. A network communication system for high-cold, high-altitude and dangerous areas according to claim 5, characterized in that: The method of dynamically adjusting the width and shape of the beam by using a recursive least squares algorithm comprises the following steps: S21. For each new input signal x(n) and expected signal d(n), calculate the calibration error: e(n)=d(n)-W H X(n); Where H represents the conjugate transpose, and w is the zero vector for initializing the weight vector; S22. Calculate the gain vector: k(n)=(λ -1 P(n-1)x(n)) / (1+λ -1 x H (n)P(n-1)x(n)): Among them, λ is a random forgetting factor, usually close to 1 but less than 1, P is a positive definite matrix for initializing the inverse correlation matrix, and k is the zero vector for initializing the gain vector; S23. Update weight vector: w(n)=w(n-1)+k(n)e * (n); Among them, * is complex conjugate; S24. Update the inverse correlation matrix: P(n)=λ -1 [P(n−1)-k(n)x H (n)P(n-1)]? S25. Use the updated weight vector w(n) to calculate the output signal at the current moment: y(n)=w H (n)x(n)。 8. A network communication system for high-cold, high-altitude and dangerous areas according to claim 5, characterized in that: The processing steps performed by the transmit power adjustment planning unit to obtain the amplitude of the transmit power adjustment include: S31, presetting a target RSSI value, wherein the target RSSI value is the signal strength expected to be received in the target area; S32, measuring the received signal strength in real time and comparing it with the target RSSI value; S33. According to the comparison result, the transmission power is dynamically adjusted: P tx,new =P tx,old +ΔP, where P tx,new is the adjusted transmit power, P tx,old is the transmit power before adjustment, and AP is the power adjustment amount.

9. A network communication system for high-cold, high-altitude and dangerous areas according to claim 8, characterized in that: The power adjustment amount AP is calculated as k·(RSSI target -RSSI measured ); Where k is a proportional coefficient, RSSI target is the target RSSI value; RSSI measured is the actual measured RSSI value.

10. A network communication method for high-cold, high-altitude and dangerous areas, used to implement the network communication system for high-cold, high-altitude and dangerous areas as described in any one of claims 1 to 9, characterized in that: The following steps are involved: S01, obtaining real-time current environmental data, and searching in a historical database to obtain a historical data set corresponding to the current environmental data; S02. Sorting out the acquired historical data set to obtain a plurality of signal delay parameters; S03, based on obtaining the plurality of signal delay parameters, selecting a communication means with the highest number of activation frequencies determined within the signal delay parameters as a communication device; S04. Optimizing the signal transmission path through an algorithm according to the acquired current environment data to generate a plan for beam dynamic adjustment parameters and transmission power; S05, the communication device performs parameter adjustment based on the received plan; S06. During the execution of step S05, data on the basic status of the communication device is collected, and a corresponding maintenance strategy is described and enabled based on the basic status obtained.

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