CN116318374B - Satellite communication data channel analysis system and method based on traffic analysis - Google Patents
Satellite communication data channel analysis system and method based on traffic analysis Download PDFInfo
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Abstract
A satellite communication data channel analysis system and method based on traffic analysis belong to the technical field of satellite communication traffic monitoring. The system comprises: the information analysis mechanism is used for acquiring all simultaneous past traffic of a preset communication area; the area acquisition mechanism is used for acquiring various communication parameters of a preset communication area; a communication prediction mechanism for predicting satellite communication traffic of a preset communication area at a set time of the day based on each simultaneous past traffic and each communication parameter; and the channel allocation mechanism is used for allocating a corresponding number of satellite communication data channels to the preset communication area at the set moment of the day based on the satellite communication service traffic. According to the invention, different prediction models can be customized for different communication areas so as to obtain different satellite communication demands of each communication area at the same future time in advance, and dynamic allocation of satellite communication resources among different communication areas is realized.
Description
Technical Field
The invention relates to the technical field of satellite communication traffic monitoring, in particular to a satellite communication data channel analysis system and method based on traffic analysis.
Background
Satellite communication has the advantages of wide coverage, large communication capacity, good transmission quality, convenient and rapid networking, convenient realization of global seamless connection and the like, and is considered as an important means necessary for establishing global communication. For example, the satellite communication distance is far, the cost is irrelevant to the communication distance, the maximum communication distance reaches about 18100 km by using a static satellite, and the station construction cost and the operation cost are not changed due to the distance between the communication stations and the natural condition severity on the ground between the two communication stations. This has obvious advantages over microwave relay, cable, optical cable, short wave communication in long distance communication.
For example, a method and a system for utilizing satellite resources for sharing forward carriers proposed by chinese patent publication CN111294111 a, where both a sender communication terminal and a receiver communication terminal occupy one transmission channel, and monitor the other channel; when one communication terminal needs to communicate with other terminals at the same time, the terminal combines the transmission channels facing a plurality of target terminals, works on a shared large carrier wave and marks the transmitted data packet with the unique identification of the target terminal. The communication terminal of the receiving party monitors the shared channel and filters the content which is not sent to the receiving party according to the data packet identification; the communication terminal of the receiver reserves the exclusive transmission channel of the receiver; the one-to-one establishment of links from two communication parties is changed into the one-to-many broadcasting of downlink data by using a shared channel, and the client receives the downlink data as required, so that nearly half of communication equipment of an access node can be saved. The use of shared channels can reduce channel idling when the transmission load of part of clients is low, and reduce the total amount of channel resources required when providing networks for the same number of clients.
For example, a data receiving method of the internet of things with parallel satellite communication high-capacity channels is proposed by chinese patent publication CN 113014308A, and the method includes: step 1, after a DCS satellite load is started, initializing a system state; step 2, the data acquisition module (1) performs periodic query; step 3, when the data analysis module periodically inquires that the received data memory pool has messages, analyzing the received message information; step 4, the data analysis module writes the idle address into a pile of the stored message information; step 5, when the data transmission module inquires that the stored message pile has messages, the message with the highest priority is read and written into the transmission data buffer area; and 6, the state information processing module updates the data storage and data receiving and transmitting states, and sends the data storage and data receiving and transmitting state information into the transmitting message buffer area in a framing mode. According to the scheme, the data acquisition module is used for polling, so that the temporarily stored acquired data can be quickly taken away, and the memory space is vacated for the channels, so that the number of parallel access channels is increased.
Compared with a large number of satellite communication receiving devices on the ground, satellite resources are relatively limited, the total number of satellite communication data channels which can be provided at the same time is limited by an upper limit threshold, if a uniformly distributed mode is adopted to uniformly distribute the data channels to all communication areas on the ground, the uniformly distributed mode inevitably leads to insufficient satellite communication resources in the communication areas with more quantity requirements due to different quantity requirements of the data channels based on satellite communication in different communication areas at the same time, and meanwhile, the satellite communication resources obtained in the communication areas with less quantity requirements are excessive, so that the satellite communication resources are wasted.
However, the number of data channels based on satellite communication in different communication areas is difficult to predict at the same time, the prior art either lacks a corresponding prediction mechanism, or only has a rough working principle of the prediction mechanism, and the obtained residual data has poor authenticity, which still causes insufficient satellite communication resources in part of the communication areas and excessive satellite communication resources in part of the communication areas.
Disclosure of Invention
In order to solve the technical defects, the invention provides a satellite communication data channel analysis system and a satellite communication data channel analysis method based on traffic analysis, which are characterized in that different intelligent prediction models are customized for different communication areas to intelligently predict the satellite communication data volume of each communication area at the same setting time of the day based on various communication parameters of each communication area and the satellite communication data volume of each communication area at the same setting time of each past day, so that different satellite communication requirements of each communication area at the same future time are obtained in advance, reliable information is provided for completing dynamic allocation of satellite communication resources among different communication areas, and satellite communication resources of partial communication areas are prevented from being insufficient.
According to a first aspect of the present invention there is provided a traffic analysis based satellite communications data channel analysis system, the system comprising:
the data setting mechanism is used for setting a current day setting time for executing satellite communication traffic prediction aiming at a preset communication area, wherein the current day setting time is a future time which is not reached the current day and the difference value between the current time and the current time is larger than or equal to a set difference value threshold;
the content storage mechanism is used for establishing a service database for providing satellite communication service data of each communication area based on the big data service node, wherein the service database takes the communication area number and the communication time as double indexes, and stores satellite communication service traffic corresponding to each communication area at any historical communication time;
an information analysis means, which is connected to the data setting means and the content storage means, and searches the service database for each satellite communication service traffic corresponding to the preset communication area at the setting time of each past day based on the preset communication area and the setting time, respectively, so as to output the satellite communication service traffic as each simultaneous past traffic;
the area acquisition mechanism is connected with the data setting mechanism and is used for acquiring various communication parameters of a preset communication area, wherein the various communication parameters of the preset communication area comprise the number of satellite receiving devices included in the preset communication area, the coverage area of the preset communication area, the maximum receiving bandwidth average value of the satellite receiving devices included in the preset communication area and the main local oscillation value of the satellite receiving devices included in the preset communication area;
The communication prediction mechanism is respectively connected with the information analysis mechanism and the region acquisition mechanism and is used for predicting satellite communication service traffic of a preset communication region at a set moment of the same day based on various communication parameters of various simultaneous past traffic and the preset communication region by adopting an intelligent prediction model, wherein the intelligent prediction model is a convolutional neural network after multiple times of learning are executed;
and the channel allocation mechanism is connected with the communication prediction mechanism and is used for allocating a corresponding number of satellite communication data channels for the preset communication area at the set time of the day based on the predicted satellite communication service traffic of the preset communication area at the set time of the day.
According to a second aspect of the present invention, there is provided a method of analyzing a satellite communication data channel based on traffic analysis, the method comprising:
setting a current day set time for executing satellite communication traffic prediction according to a preset communication area, wherein the current day set time is a future time which is not reached by the current day and the difference value between the current time and the current time is larger than or equal to a set difference value threshold;
establishing a service database for providing satellite communication service data of each communication area based on the big data service node, wherein the service database takes the communication area number and the communication time as double indexes, and stores satellite communication service traffic corresponding to each communication area at any historical communication time;
Searching each satellite communication service traffic corresponding to the preset communication area at the set time of each past day from the service database based on the preset communication area and the set time to output as each simultaneous past traffic;
acquiring various communication parameters of a preset communication area, wherein the various communication parameters of the preset communication area comprise the number of satellite receiving devices included in the preset communication area, the coverage area of the preset communication area, the maximum receiving bandwidth average value of the satellite receiving devices included in the preset communication area and the main local oscillation value of the satellite receiving devices included in the preset communication area;
an intelligent prediction model is adopted to predict satellite communication service traffic of a preset communication area at a set moment of the day based on various communication parameters of the various simultaneous past traffic and the preset communication area, and the intelligent prediction model is a convolutional neural network after multiple times of learning are executed;
and allocating a corresponding number of satellite communication data channels for the preset communication area at the set moment of the day based on the predicted satellite communication service traffic of the preset communication area at the set moment of the day.
Therefore, the invention has at least the following three remarkable technical advances:
Firstly, for each communication area of a satellite communication service, an intelligent prediction model with a customized structure is adopted to intelligently predict the satellite communication data quantity of the communication area at the same set time on each day based on each communication parameter of the communication area and the satellite communication data quantity of the communication area at the same set time on each day, and the number of satellite communication data channels proportional to the predicted satellite communication data quantity is distributed to the communication area in advance before the set time on the day comes, so that the limited satellite communication resources are dynamically configured in advance, the utilization rate of the satellite communication resources is ensured, and meanwhile, the phenomenon that the data channels are insufficient or too sufficient is avoided;
secondly, analyzing and executing the time advance of the dynamic configuration of the satellite communication resources based on the maximum operation amount of the unit time of the prediction device running the intelligent prediction model, wherein the higher the maximum operation amount of the unit time of the prediction device is, the shorter the analyzed corresponding time advance is, so that the finite prediction device is prevented from being occupied prematurely;
third, the intelligent prediction model of the customization structure is customized in that: the intelligent prediction model is a convolutional neural network after multiple times of learning is executed, the historical reference days of the network are positively correlated with the number of satellite receiving devices included in a preset communication area, and the times of network training are positively correlated with the coverage area of the preset communication area, so that the reliability and the stability of model prediction are ensured.
Drawings
Embodiments of the present invention will be described below with reference to the accompanying drawings, in which:
FIG. 1 is a technical flow chart of a traffic analysis-based satellite communication data channel analysis system and method according to the present invention.
Fig. 2 is a schematic structural diagram of a satellite communication data channel analysis system based on traffic analysis according to a first embodiment of the present invention.
Fig. 3 is a schematic structural diagram of a satellite communication data channel analysis system based on traffic analysis according to a second embodiment of the present invention.
Fig. 4 is a schematic structural diagram of a satellite communication data channel analysis system based on traffic analysis according to a third embodiment of the present invention.
Fig. 5 is a schematic structural diagram of a satellite communication data channel analysis system based on traffic analysis according to a fourth embodiment of the present invention.
Fig. 6 is a schematic structural diagram of a satellite communication data channel analysis system based on traffic analysis according to a fifth embodiment of the present invention.
Detailed Description
As shown in fig. 1, a technical flowchart of a system and method for analyzing a satellite communication data channel based on traffic analysis according to the present invention is provided.
As shown in fig. 1, the satellite communication system includes a communication satellite, and a plurality of satellite receiving devices which are disposed in a plurality of preset communication areas and communicate with the communication satellite, wherein the satellite receiving devices include a fixed earth station, a mobile earth station and/or a central control station, and the specific technical flow of the present invention is as follows:
Firstly, designing an intelligent prediction model with a customized structure for each preset communication area of satellite communication service, wherein the intelligent prediction model is a convolutional neural network after multiple times of learning, the historical reference days of the network are positively correlated with the number of satellite receiving devices included in the preset communication area, and the times of network training are positively correlated with the coverage area of the preset communication area, so that the reliability and the stability of model prediction are ensured;
in fig. 1, a preset communication area is shown, where a satellite communication service may be provided for the preset communication area, and the number of communication satellites needed at each moment is proportional to the number of satellite communication data channels needed in the preset communication area at the moment;
secondly, aiming at a certain moment to be predicted on the same day, acquiring each satellite communication data volume of the preset communication area at the same moment in the past of each day, acquiring each communication parameter of the preset communication area, and adopting an intelligent prediction model of a customized structure corresponding to the preset communication area to predict the number of satellite communication data channels required by the preset communication area at the certain moment on the same day based on each satellite communication data volume and each communication parameter, thereby providing key information for dynamically and fully utilizing limited satellite communication resources among the communication areas;
The method comprises the steps that each communication parameter of a preset communication area comprises the number of satellite receiving devices included in the preset communication area, the coverage area of the preset communication area, the maximum receiving bandwidth mean value of the satellite receiving devices included in the preset communication area and the main local oscillation value of the satellite receiving devices included in the preset communication area;
as shown in fig. 1, the preset communication area includes a plurality of satellite receiving devices, and the number of satellite receiving devices included in the preset communication area, the average value of the maximum receiving bandwidths of the satellite receiving devices included in the preset communication area, and the main local oscillation value of the satellite receiving devices included in the preset communication area can be analyzed according to parameters of the plurality of satellite receiving devices;
and analyzing and executing the time advance of the dynamic configuration of the satellite communication resource based on the maximum operation amount of the unit time of the prediction device running the intelligent prediction model, wherein the higher the maximum operation amount of the unit time of the prediction device is, the shorter the analyzed corresponding time advance is, so that the limited prediction device is prevented from being occupied prematurely.
The key points of the invention are as follows: an intelligent prediction model of a customization structure is designed for each preset communication area of the satellite communication service, wherein the customization of the model is characterized by the customization of input content and output content and the customization of a training mechanism, and the time advance for executing the dynamic configuration of satellite communication resources is determined based on the operation performance of a prediction device, so that the intelligent level of limited satellite communication resource regional configuration is improved from various aspects.
The system and method for analyzing satellite communication data channels based on traffic analysis according to the present invention will be described in detail by way of example.
First embodiment
Fig. 2 is a schematic structural diagram of a satellite communication data channel analysis system based on traffic analysis according to a first embodiment of the present invention.
As shown in fig. 2, the satellite communication data channel analysis system based on traffic analysis includes the following components:
the data setting mechanism is used for setting a current day setting time for executing satellite communication traffic prediction aiming at a preset communication area, wherein the current day setting time is a future time which is not reached the current day and the difference value between the current time and the current time is larger than or equal to a set difference value threshold;
the preset communication area is one of the communication areas of the satellite communication service, and the communication areas can be divided through a geographic area sharing mode or through an administrative division mode of a city block;
the content storage mechanism is used for establishing a service database for providing satellite communication service data of each communication area based on the big data service node, wherein the service database takes the communication area number and the communication time as double indexes, and stores satellite communication service traffic corresponding to each communication area at any historical communication time;
Illustratively, the content storage mechanism may be one serving network element disposed within the big data serving node;
an information analysis means, which is connected to the data setting means and the content storage means, and searches the service database for each satellite communication service traffic corresponding to the preset communication area at the setting time of each past day based on the preset communication area and the setting time, respectively, so as to output the satellite communication service traffic as each simultaneous past traffic;
the area acquisition mechanism is connected with the data setting mechanism and is used for acquiring various communication parameters of a preset communication area, wherein the various communication parameters of the preset communication area comprise the number of satellite receiving devices included in the preset communication area, the coverage area of the preset communication area, the maximum receiving bandwidth average value of the satellite receiving devices included in the preset communication area and the main local oscillation value of the satellite receiving devices included in the preset communication area;
the communication prediction mechanism is respectively connected with the information analysis mechanism and the region acquisition mechanism and is used for predicting satellite communication service traffic of a preset communication region at a set moment of the same day based on various communication parameters of various simultaneous past traffic and the preset communication region by adopting an intelligent prediction model, wherein the intelligent prediction model is a convolutional neural network after multiple times of learning are executed;
Illustratively, the intelligent prediction model may be a function example of MATLAB, and the intelligent prediction model includes: adopting each network parameter of the convolutional neural network after multiple times of learning to limit the intelligent prediction model;
the channel allocation mechanism is connected with the communication prediction mechanism and is used for allocating a corresponding number of satellite communication data channels for the preset communication area at the set time of the day based on the predicted satellite communication service traffic of the preset communication area at the set time of the day;
the setting time of the current day is a future time which is not reached by the current day and the difference value between the current time and the future time is greater than or equal to a set difference value threshold value, which comprises the following steps: the higher the maximum operation amount of the prediction device in unit time based on the operation intelligent prediction model is, the smaller the value of the set difference threshold value is;
wherein searching each satellite communication service traffic corresponding to the preset communication area at the set time of each past day from the service database based on the preset communication area and the set time to output each simultaneous past traffic comprises: the number of days corresponding to each past day is monotonically and positively correlated with the number of satellite receiving devices included in the preset communication area;
Illustratively, the monotonically positive association of the number of days corresponding to each past day and the number of satellite receiving devices included in the preset communication area includes: the number of satellite receiving devices included in the preset communication area is 100, the number of days corresponding to each selected past day is 20, the number of satellite receiving devices included in the preset communication area is 200, the number of days corresponding to each selected past day is 30, the number of satellite receiving devices included in the preset communication area is 400, the number of days corresponding to each selected past day is 40, the number of satellite receiving devices included in the preset communication area is 700, the number of days corresponding to each selected past day is 50, and so on;
wherein the allocation of the corresponding number of satellite communication data channels for the preset communication area at the time of day setting based on the predicted satellite communication traffic of the preset communication area at the time of day setting comprises: the total number of satellite communication data channels allocated for the preset communication area at the current set time is in direct proportion to the predicted satellite communication service traffic of the preset communication area at the current set time;
illustratively, the total number of satellite communication data channels allocated for the preset communication zone at the time of day setting is proportional to the predicted satellite communication traffic volume of the preset communication zone at the time of day setting, including: the set time may be a duration time interval of 1 minute, the predicted satellite communication traffic volume of the preset communication area at the time set on the day is 20TB, the total number of satellite communication data channels allocated for the preset communication area at the time set on the day is 100TB, the predicted satellite communication traffic volume of the preset communication area at the time set on the day is 100TB, the total number of satellite communication data channels allocated for the preset communication area at the time set on the day is 150 TB, the predicted satellite communication traffic volume of the preset communication area at the time set on the day is 600TB, the total number of satellite communication data channels allocated for the preset communication area at the time set on the day is 200 TB, and so on;
The method comprises the steps of adopting an intelligent prediction model to predict satellite communication service traffic of a preset communication area at a set moment of the day based on various communication parameters of the various simultaneous past communication traffic and the preset communication area, wherein the intelligent prediction model comprises the following steps of: and taking all communication parameters of all simultaneous past communication traffic and preset communication areas as all input contents of the intelligent prediction model, and executing the intelligent prediction model to obtain the satellite communication service traffic of the preset communication areas output by the intelligent prediction model at the set moment of the current day.
Second embodiment
Fig. 3 is a schematic structural diagram of a satellite communication data channel analysis system based on traffic analysis according to a second embodiment of the present invention.
As shown in fig. 3, unlike the system of fig. 2, the satellite communication data channel analysis system based on traffic analysis of fig. 3 further includes:
the LED display matrix is formed by splicing a plurality of LED display units, is arranged in the satellite communication control room and is used for receiving and displaying the number of satellite communication data channels distributed to a preset communication area at a set moment of the day;
alternatively, the LED display matrix may be replaced by an LCD display matrix provided in the satellite communication control room for receiving and displaying the number of satellite communication data channels allocated for the preset communication area at the set time of the day.
Third embodiment
Fig. 4 is a schematic structural diagram of a satellite communication data channel analysis system based on traffic analysis according to a third embodiment of the present invention.
As shown in fig. 4, unlike the system of fig. 2, the satellite communication data channel analysis system based on traffic analysis of fig. 4 further includes:
a model supply mechanism connected with the communication prediction mechanism and used for providing a convolutional neural network after a plurality of times of learning;
for example, the model supply mechanism may be implemented with a CPLD device or an FPGA device that is programmed by VHDL language;
wherein providing the convolutional neural network after performing the multiple learning includes: the larger the coverage area of the preset communication area is, the more times of learning is performed;
wherein providing the convolutional neural network after performing the multiple learning includes: when each learning is executed, the known satellite communication traffic of the preset communication area at a certain moment in the past is taken as output content of the convolutional neural network, and each satellite communication traffic of the preset communication area, which corresponds to the same moment in each day before the certain moment in the past, and each communication parameter of the preset communication area are taken as each input content of the intelligent prediction model.
Fourth embodiment
Fig. 5 is a schematic structural diagram of a satellite communication data channel analysis system based on traffic analysis according to a fourth embodiment of the present invention.
As shown in fig. 5, unlike the system of fig. 4, the satellite communication data channel analysis system based on traffic analysis of fig. 5 further includes:
the dynamic storage mechanism is connected with the model supply mechanism and used for storing various network parameters of the convolutional neural network after the convolutional neural network is subjected to multiple times of learning;
for example, a FLASH memory, a TF memory chip, a CF memory chip, or an MMC memory chip may be used instead of the dynamic memory mechanism for storing various network parameters of the convolutional neural network after performing the multiple learning.
Fifth embodiment
Fig. 6 is a schematic structural diagram of a satellite communication data channel analysis system based on traffic analysis according to a fifth embodiment of the present invention.
As shown in fig. 6, unlike the system of fig. 2, the satellite communication data channel analysis system based on traffic analysis of fig. 6 further includes:
the timing service mechanism is used for providing different timing services required by each electronic device connected with the timing service mechanism;
for example, the timing service mechanism is connected with the channel allocation mechanism and is used for providing a trigger signal for the channel allocation mechanism before the set time of the day arrives so as to trigger the channel allocation mechanism to allocate a corresponding number of satellite communication data channels for the preset communication area at the set time of the day in advance based on the predicted satellite communication service traffic of the preset communication area at the set time of the day.
In any of the above embodiments, optionally, in the traffic analysis-based satellite communication data channel analysis system:
each communication parameter of the preset communication area comprises the number of satellite receiving devices included in the preset communication area, the coverage area of the preset communication area, the maximum receiving bandwidth mean value of the satellite receiving devices included in the preset communication area, and the main local oscillator value of the satellite receiving devices included in the preset communication area comprises: acquiring each maximum receiving bandwidth respectively corresponding to each satellite receiving device included in the preset communication area, calculating an arithmetic average value of each maximum receiving bandwidth, and taking the obtained average value as the maximum receiving bandwidth average value of the satellite receiving devices included in the preset communication area;
the method comprises the steps of presetting a communication area, wherein each communication parameter of the preset communication area comprises the number of satellite receiving devices included in the preset communication area, the coverage area of the preset communication area, the maximum receiving bandwidth mean value of the satellite receiving devices included in the preset communication area and the main local oscillator value of the satellite receiving devices included in the preset communication area, and comprises the following steps: acquiring each local oscillation value corresponding to each satellite receiving device included in the preset communication area, and taking the local oscillation value with the most frequent occurrence frequency in each local oscillation value as the main local oscillation value of the satellite receiving device included in the preset communication area;
For example, the de-duplication processing may be performed on each local oscillation value corresponding to each satellite receiving device included in the preset communication area, so as to obtain a plurality of local oscillation values, and one local oscillation value with the largest occurrence number in the value sequence formed by each local oscillation value in the plurality of local oscillation values is used as the main local oscillation value.
In any of the above embodiments, optionally, in the traffic analysis-based satellite communication data channel analysis system:
the monotonous forward association of the number of days corresponding to each past day and the number of satellite receiving devices included in the preset communication area comprises the following steps: adopting a numerical mapping formula to express a numerical mapping relation of monotonic forward association of the number of days corresponding to each past day and the number of satellite receiving equipment included in the preset communication area;
the numerical mapping relation that the number of days corresponding to each past day corresponds to the number of the satellite receiving devices included in the preset communication area and is monotonically and positively associated is expressed by adopting a numerical mapping formula comprises: in the numerical mapping formula, the number of satellite receiving devices included in the preset communication area is an input item, and the number of days corresponding to each past day is an output item;
The method comprises the steps of presetting a communication area, wherein each communication parameter of the preset communication area comprises the number of satellite receiving devices included in the preset communication area, the coverage area of the preset communication area, the maximum receiving bandwidth mean value of the satellite receiving devices included in the preset communication area and the main local oscillator value of the satellite receiving devices included in the preset communication area, and comprises the following steps: the coverage area of the preset communication area is calculated by adopting satellite positioning information of the preset communication area;
for example, calculating the coverage area of the preset communication area using satellite positioning information of the preset communication area includes: the satellite positioning information is one or more of Beidou navigation information, galileo navigation information or GPS navigation information.
Sixth embodiment
The sixth embodiment of the present invention provides a method for analyzing a satellite communication data channel based on traffic analysis, including:
step S701: setting a current day set time for executing satellite communication traffic prediction according to a preset communication area, wherein the current day set time is a future time which is not reached by the current day and the difference value between the current time and the current time is larger than or equal to a set difference value threshold;
The preset communication area is one of the communication areas of the satellite communication service, and the communication areas can be divided through a geographic area sharing mode or through an administrative division mode of a city block;
step S702: establishing a service database for providing satellite communication service data of each communication area based on the big data service node, wherein the service database takes the communication area number and the communication time as double indexes, and stores satellite communication service traffic corresponding to each communication area at any historical communication time;
illustratively, the content storage mechanism may be one serving network element disposed within the big data serving node;
step S703: searching each satellite communication service traffic corresponding to the preset communication area at the set time of each past day from the service database based on the preset communication area and the set time to output as each simultaneous past traffic;
step S704: acquiring various communication parameters of a preset communication area, wherein the various communication parameters of the preset communication area comprise the number of satellite receiving devices included in the preset communication area, the coverage area of the preset communication area, the maximum receiving bandwidth average value of the satellite receiving devices included in the preset communication area and the main local oscillation value of the satellite receiving devices included in the preset communication area;
Step S705: an intelligent prediction model is adopted to predict satellite communication service traffic of a preset communication area at a set moment of the day based on various communication parameters of the various simultaneous past traffic and the preset communication area, and the intelligent prediction model is a convolutional neural network after multiple times of learning are executed;
illustratively, the intelligent prediction model may be a function example of MATLAB, and the intelligent prediction model includes: adopting each network parameter of the convolutional neural network after multiple times of learning to limit the intelligent prediction model;
step S706: based on the predicted satellite communication service traffic of the preset communication area at the current day setting time, a corresponding number of satellite communication data channels are distributed to the preset communication area at the current day setting time;
the setting time of the current day is a future time which is not reached by the current day and the difference value between the current time and the future time is greater than or equal to a set difference value threshold value, which comprises the following steps: the higher the maximum operation amount of the prediction device in unit time based on the operation intelligent prediction model is, the smaller the value of the set difference threshold value is;
wherein searching each satellite communication service traffic corresponding to the preset communication area at the set time of each past day from the service database based on the preset communication area and the set time to output each simultaneous past traffic comprises: the number of days corresponding to each past day is monotonically and positively correlated with the number of satellite receiving devices included in the preset communication area;
Illustratively, the monotonically positive association of the number of days corresponding to each past day and the number of satellite receiving devices included in the preset communication area includes: the number of satellite receiving devices included in the preset communication area is 100, the number of days corresponding to each selected past day is 20, the number of satellite receiving devices included in the preset communication area is 200, the number of days corresponding to each selected past day is 30, the number of satellite receiving devices included in the preset communication area is 400, the number of days corresponding to each selected past day is 40, the number of satellite receiving devices included in the preset communication area is 700, the number of days corresponding to each selected past day is 50, and so on;
wherein the allocation of the corresponding number of satellite communication data channels for the preset communication area at the time of day setting based on the predicted satellite communication traffic of the preset communication area at the time of day setting comprises: the total number of satellite communication data channels allocated for the preset communication area at the current set time is in direct proportion to the predicted satellite communication service traffic of the preset communication area at the current set time;
illustratively, the total number of satellite communication data channels allocated for the preset communication zone at the time of day setting is proportional to the predicted satellite communication traffic volume of the preset communication zone at the time of day setting, including: the set time may be a duration time interval of 1 minute, the predicted satellite communication traffic volume of the preset communication area at the time set on the day is 20TB, the total number of satellite communication data channels allocated for the preset communication area at the time set on the day is 100TB, the predicted satellite communication traffic volume of the preset communication area at the time set on the day is 100TB, the total number of satellite communication data channels allocated for the preset communication area at the time set on the day is 150 TB, the predicted satellite communication traffic volume of the preset communication area at the time set on the day is 600TB, the total number of satellite communication data channels allocated for the preset communication area at the time set on the day is 200 TB, and so on;
The method comprises the steps of adopting an intelligent prediction model to predict satellite communication service traffic of a preset communication area at a set moment of the day based on various communication parameters of the various simultaneous past communication traffic and the preset communication area, wherein the intelligent prediction model comprises the following steps of: and taking all communication parameters of all simultaneous past communication traffic and preset communication areas as all input contents of the intelligent prediction model, and executing the intelligent prediction model to obtain the satellite communication service traffic of the preset communication areas output by the intelligent prediction model at the set moment of the current day.
In addition, in the system and method for analyzing satellite communication data channels based on traffic analysis according to the present invention, the following will be described:
when each learning is executed, taking the known satellite communication traffic of the preset communication area at a certain moment in the past as output content of the convolutional neural network, and taking each satellite communication traffic of the preset communication area, which corresponds to the same moment in each day before the certain moment in the past, and each communication parameter of the preset communication area as each input content of the intelligent prediction model comprises the following steps: when each learning is executed, taking normalized data of known satellite communication traffic of a preset communication area at a certain moment in the past as output content of the convolutional neural network, and taking normalized data of each satellite communication traffic of the preset communication area, which corresponds to the same moment in each day before the certain moment in the past, and each communication parameter of the preset communication area, as each input content of the intelligent prediction model;
When each learning is executed, taking normalized data of known satellite communication traffic of a preset communication area at a certain moment in the past as output content of the convolutional neural network, and taking normalized data of each satellite communication traffic of the preset communication area, which corresponds to the same moment in each day before the certain moment in the past, and each communication parameter of the preset communication area, as each input content of the intelligent prediction model, wherein the normalized data comprises the following steps: when each learning is executed, hexadecimal conversion data of the known satellite communication traffic of the preset communication area at a certain moment in the past is used as output content of the convolutional neural network, each hexadecimal conversion data respectively corresponding to each satellite communication traffic of the preset communication area at the same moment in each day before the certain moment in the past and each communication parameter of the preset communication area are used as each input content of the intelligent prediction model;
and wherein taking each communication parameter of each simultaneous past communication volume and preset communication area as each input content of the intelligent prediction model and executing the intelligent prediction model to obtain satellite communication traffic volume of the preset communication area output by the intelligent prediction model at a set time of day comprises: taking all normalized data of all communication parameters of all simultaneous past communication traffic and preset communication areas as all input contents of the intelligent prediction model, and executing the intelligent prediction model to obtain satellite communication service communication traffic of the preset communication areas which are output by the intelligent prediction model and are represented by the normalized data at the set moment of the current day.
While the invention has been described with considerable specificity, it should be appreciated that those skilled in the art may change the elements thereof without departing from the spirit and scope of the invention. It is believed that the system of the present invention and the attendant advantages thereof will be understood by the foregoing description and it will be apparent that various changes may be made in the form, construction and arrangement of the components thereof without departing from the scope and spirit of the invention or without sacrificing all of its material advantages, the form herein before described being merely an explanatory embodiment thereof, and further without providing additional material change. The claims are intended to cover and include such modifications.
Claims (10)
1. A traffic analysis-based satellite communication data channel analysis system, the system comprising:
the data setting mechanism is used for setting a current day setting time for executing satellite communication traffic prediction aiming at a preset communication area, wherein the current day setting time is a future time which is not reached the current day and the difference value between the current time and the current time is larger than or equal to a set difference value threshold;
the content storage mechanism is used for establishing a service database for providing satellite communication service data of each communication area based on the big data service node, wherein the service database takes the communication area number and the communication time as double indexes, and stores satellite communication service traffic corresponding to each communication area at any historical communication time;
An information analysis means, which is connected to the data setting means and the content storage means, and searches the service database for each satellite communication service traffic corresponding to the preset communication area at the setting time of each past day based on the preset communication area and the setting time, respectively, so as to output the satellite communication service traffic as each simultaneous past traffic;
the area acquisition mechanism is connected with the data setting mechanism and is used for acquiring various communication parameters of a preset communication area, wherein the various communication parameters of the preset communication area comprise the number of satellite receiving devices included in the preset communication area, the coverage area of the preset communication area, the maximum receiving bandwidth average value of the satellite receiving devices included in the preset communication area and the main local oscillation value of the satellite receiving devices included in the preset communication area;
the communication prediction mechanism is respectively connected with the information analysis mechanism and the region acquisition mechanism and is used for predicting satellite communication service traffic of a preset communication region at a set moment of the same day based on various communication parameters of various simultaneous past traffic and the preset communication region by adopting an intelligent prediction model, wherein the intelligent prediction model is a convolutional neural network after multiple times of learning are executed;
And the channel allocation mechanism is connected with the communication prediction mechanism and is used for allocating a corresponding number of satellite communication data channels for the preset communication area at the set time of the day based on the predicted satellite communication service traffic of the preset communication area at the set time of the day.
2. A traffic analysis based satellite communication data channel analysis system according to claim 1, wherein:
the setting time of the current day is the future time which is not reached and the difference value between the setting time of the current day and the current time is more than or equal to a setting difference value threshold value, and the setting of the current day comprises: the higher the maximum operation amount of the prediction device in unit time based on the operation intelligent prediction model is, the smaller the value of the set difference threshold value is;
wherein searching each satellite communication service traffic corresponding to the preset communication area at the set time of each past day from the service database based on the preset communication area and the set time to output each simultaneous past traffic comprises: the number of days corresponding to each past day is monotonically and positively correlated with the number of satellite receiving devices included in the preset communication area.
3. A traffic analysis based satellite communication data channel analysis system according to claim 2, wherein:
The allocation of a corresponding number of satellite communication data channels for the preset communication area at the time of day setting based on the predicted satellite communication traffic of the preset communication area at the time of day setting includes: the total number of satellite communication data channels allocated for the preset communication area at the current set time is in direct proportion to the predicted satellite communication service traffic of the preset communication area at the current set time;
the method comprises the steps of adopting an intelligent prediction model to predict satellite communication service traffic of a preset communication area at a set moment of the day based on various communication parameters of the various simultaneous past communication traffic and the preset communication area, wherein the intelligent prediction model comprises the following steps of: and taking all communication parameters of all simultaneous past communication traffic and preset communication areas as all input contents of the intelligent prediction model, and executing the intelligent prediction model to obtain the satellite communication service traffic of the preset communication areas output by the intelligent prediction model at the set moment of the current day.
4. A traffic analysis based satellite communication data channel analysis system according to claim 3, wherein the system comprises:
the LED display matrix is formed by splicing a plurality of LED display units, is arranged in the satellite communication control room and is used for receiving and displaying the number of satellite communication data channels distributed to a preset communication area at the set moment of the day.
5. A traffic analysis based satellite communication data channel analysis system according to claim 3, wherein the system comprises:
a model supply mechanism connected with the communication prediction mechanism and used for providing a convolutional neural network after a plurality of times of learning;
wherein providing the convolutional neural network after performing the multiple learning includes: the larger the coverage area of the preset communication area is, the more times of learning is performed;
wherein providing the convolutional neural network after performing the multiple learning includes: when each learning is executed, the known satellite communication traffic of the preset communication area at a certain moment in the past is taken as output content of the convolutional neural network, and each satellite communication traffic of the preset communication area, which corresponds to the same moment in each day before the certain moment in the past, and each communication parameter of the preset communication area are taken as each input content of the intelligent prediction model.
6. A traffic analysis based satellite communication data channel analysis system according to claim 5, wherein the system comprises:
and the dynamic storage mechanism is connected with the model supply mechanism and is used for storing various network parameters of the convolutional neural network after the convolutional neural network is subjected to multiple times of learning.
7. A traffic analysis based satellite communication data channel analysis system according to claim 3, wherein the system comprises:
a timing service mechanism for providing different timing services required by each electronic device connected with the timing service mechanism.
8. A traffic analysis based satellite communication data channel analysis system according to any of claims 3-7, wherein:
each communication parameter of the preset communication area comprises the number of satellite receiving devices included in the preset communication area, the coverage area of the preset communication area, the maximum receiving bandwidth mean value of the satellite receiving devices included in the preset communication area, and the main local oscillator value of the satellite receiving devices included in the preset communication area comprises: acquiring each maximum receiving bandwidth respectively corresponding to each satellite receiving device included in the preset communication area, calculating an arithmetic average value of each maximum receiving bandwidth, and taking the obtained average value as the maximum receiving bandwidth average value of the satellite receiving devices included in the preset communication area;
the method comprises the steps of presetting a communication area, wherein each communication parameter of the preset communication area comprises the number of satellite receiving devices included in the preset communication area, the coverage area of the preset communication area, the maximum receiving bandwidth mean value of the satellite receiving devices included in the preset communication area and the main local oscillator value of the satellite receiving devices included in the preset communication area, and comprises the following steps: and acquiring each local oscillation value corresponding to each satellite receiving device included in the preset communication area, and taking the local oscillation value with the most frequent occurrence frequency in each local oscillation value as the main local oscillation value of the satellite receiving device included in the preset communication area.
9. A traffic analysis based satellite communication data channel analysis system according to any of claims 3-7, wherein:
the monotonous forward association of the number of days corresponding to each past day and the number of satellite receiving devices included in the preset communication area comprises the following steps: adopting a numerical mapping formula to express a numerical mapping relation of monotonic forward association of the number of days corresponding to each past day and the number of satellite receiving equipment included in the preset communication area;
the numerical mapping relation that the number of days corresponding to each past day corresponds to the number of the satellite receiving devices included in the preset communication area and is monotonically and positively associated is expressed by adopting a numerical mapping formula comprises: in the numerical mapping formula, the number of satellite receiving devices included in the preset communication area is an input item, and the number of days corresponding to each past day is an output item;
the method comprises the steps of presetting a communication area, wherein each communication parameter of the preset communication area comprises the number of satellite receiving devices included in the preset communication area, the coverage area of the preset communication area, the maximum receiving bandwidth mean value of the satellite receiving devices included in the preset communication area and the main local oscillator value of the satellite receiving devices included in the preset communication area, and comprises the following steps: and calculating the coverage area of the preset communication area by adopting satellite positioning information of the preset communication area.
10. A method for analyzing a satellite communication data channel based on traffic analysis, the method comprising:
setting a current day set time for executing satellite communication traffic prediction according to a preset communication area, wherein the current day set time is a future time which is not reached by the current day and the difference value between the current time and the current time is larger than or equal to a set difference value threshold;
establishing a service database for providing satellite communication service data of each communication area based on the big data service node, wherein the service database takes the communication area number and the communication time as double indexes, and stores satellite communication service traffic corresponding to each communication area at any historical communication time;
searching each satellite communication service traffic corresponding to the preset communication area at the set time of each past day from the service database based on the preset communication area and the set time to output as each simultaneous past traffic;
acquiring various communication parameters of a preset communication area, wherein the various communication parameters of the preset communication area comprise the number of satellite receiving devices included in the preset communication area, the coverage area of the preset communication area, the maximum receiving bandwidth average value of the satellite receiving devices included in the preset communication area and the main local oscillation value of the satellite receiving devices included in the preset communication area;
An intelligent prediction model is adopted to predict satellite communication service traffic of a preset communication area at a set moment of the day based on various communication parameters of the various simultaneous past traffic and the preset communication area, and the intelligent prediction model is a convolutional neural network after multiple times of learning are executed;
and allocating a corresponding number of satellite communication data channels for the preset communication area at the set moment of the day based on the predicted satellite communication service traffic of the preset communication area at the set moment of the day.
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