CN116684980A - Method, device and storage medium for processing data based on multiple satellites - Google Patents

Method, device and storage medium for processing data based on multiple satellites Download PDF

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Publication number
CN116684980A
CN116684980A CN202310959792.4A CN202310959792A CN116684980A CN 116684980 A CN116684980 A CN 116684980A CN 202310959792 A CN202310959792 A CN 202310959792A CN 116684980 A CN116684980 A CN 116684980A
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priority
data
reference station
mobile terminal
satellites
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CN116684980B (en
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沈朝阳
闫晓亮
林广荣
侯海洋
张世杰
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Galaxy Aerospace Beijing Network Technology Co ltd
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Galaxy Aerospace Beijing Network Technology Co ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/56—Allocation or scheduling criteria for wireless resources based on priority criteria
    • H04W72/566—Allocation or scheduling criteria for wireless resources based on priority criteria of the information or information source or recipient
    • H04W72/569—Allocation or scheduling criteria for wireless resources based on priority criteria of the information or information source or recipient of the traffic information
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W76/00—Connection management
    • H04W76/10—Connection setup
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W84/00—Network topologies
    • H04W84/02—Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
    • H04W84/04—Large scale networks; Deep hierarchical networks
    • H04W84/06—Airborne or Satellite Networks

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Radio Relay Systems (AREA)

Abstract

The application discloses a method, a device and a storage medium for processing data based on multiple satellites, which comprises the following steps: the source mobile terminal sends data processing requests to a plurality of satellites, and the data transmission proportion is determined based on a first neural network and first priority parameters returned by each satellite; the source mobile terminal divides the data blocks according to the data transmission proportion and transmits data to each satellite; the satellites establish communication connection with a plurality of reference stations in a communication coverage area based on the data processing request, and determine a target reference station according to a second priority standard and second priority parameters of each reference station corresponding to the second priority standard; the plurality of satellites transmit data corresponding to the source mobile terminal to the target reference station, and the target reference station processes the data corresponding to the source mobile terminal; and the target reference station establishes communication connection with the target mobile terminal and transmits data to the target mobile terminal. Thereby reducing the time of the data processing process and increasing the efficiency of the data processing.

Description

Method, device and storage medium for processing data based on multiple satellites
Technical Field
The present application relates to the field of satellite data processing technologies, and in particular, to a method, an apparatus, and a storage medium for processing data based on multiple satellites.
Background
With the continuous development of internet technology, networks can be classified according to working modes, and the networks can be specifically classified into: centralized networks and distributed networks. A distributed network is a network of computer systems interconnected by computer systems having independent operating functions. The core idea of the distributed network is to enable a plurality of servers to work cooperatively to finish tasks which cannot be processed by a single server, especially tasks with high concurrency or large data volume. Although a wireless network-based distributed network can process a large amount of data, there is a problem in that delay in processing data using the wireless network-based distributed network is high.
Therefore, in order to solve the above problems, a satellite-based data processing method is also proposed. The satellite can join the network in the form of the identity of the server, so that the data processing is completed. Satellites are not suitable for processing large amounts of data because of their small storage space and small battery capacity.
The prior art proposes a method for combining a distributed network based on a wireless network with a satellite, so that the problems that the time delay is large and the processing of the data is inconvenient due to the fact that the data is processed only by the distributed network based on the wireless network and the satellite is processed only are solved by utilizing the characteristic that the distributed network based on the wireless network can process a large amount of data and the characteristic that the satellite is high in data processing efficiency.
Although the above-described technical solution processes data with a relatively large amount of data and relatively high data processing efficiency, compared to processing data by means of a distributed network based on a wireless network only or by means of satellite only. However, since there is only one satellite interacting with the source mobile terminal, when the amount of data to be processed is large, a large amount of data is transmitted by means of only a single satellite, which inevitably reduces the efficiency of the whole data processing process and increases the time cost of data processing.
The publication number is CN104168621A, and the name is a sponge wireless sensor network clustering method based on distributed beam forming. Comprising the following steps: the sensor buoys put on the sea surface cooperate to form wave beams, a distributed network is formed by self-organization, a cluster head is lifted to manage each node and node information, and then all nodes upload data to a satellite in a wave beam mode.
The publication number is CN101932065A, and the name is a distributed satellite network resource discovery method. Comprising the following steps: when the distributed satellite network is initialized, each node sends a resource information advertisement packet to other nodes, and each node respectively establishes a resource information routing table; after the distributed satellite network is initialized, each node queries the resources by the following method: firstly, inquiring local resource information, and ending the inquiry if the local resource information meeting the condition can be provided; otherwise, the query information is routed to other nodes in the distributed network for query.
Aiming at the technical problems that only one satellite interacts with the source mobile terminal in the prior art, when the data volume to be processed is large, a large amount of data is transmitted by only a single satellite, so that the efficiency of the whole data processing process is necessarily reduced, and the time cost for processing the data is increased, no effective solution is proposed at present.
Disclosure of Invention
The embodiments of the present disclosure provide a method, an apparatus, and a storage medium for processing data based on multiple satellites, so as to at least solve the technical problem in the prior art that, because only one satellite interacts with a source mobile terminal, when the amount of data to be processed is large, only a single satellite is used to transmit a large amount of data, which necessarily reduces the efficiency of the whole data processing process and increases the time cost for processing the data.
According to one aspect of an embodiment of the present disclosure, there is provided a method of processing data based on multiple satellites, including: the source mobile terminal sends data processing requests containing first priority standards to a plurality of satellites, and determines data transmission proportions corresponding to the satellites based on a first neural network and first priority parameters corresponding to the first priority standards returned by the satellites, wherein the first priority standards are used for indicating factors affecting the data transmission capacity of the satellites; the source mobile terminal divides the data blocks according to the data transmission proportion corresponding to each satellite and transmits the divided data to each satellite; the satellites establish communication connection with a plurality of reference stations in a communication coverage area based on the data processing request, and determine target reference stations according to preset second priority standards and second priority parameters of the reference stations corresponding to the second priority standards, wherein the second priority standards are used for indicating factors affecting the data processing capacity of the reference stations; the plurality of satellites transmit data corresponding to the source mobile terminal to the target reference station, and the target reference station processes the data corresponding to the source mobile terminal; and the target reference station establishes communication connection with the target mobile terminal and transmits data corresponding to the source mobile terminal to the target mobile terminal.
According to another aspect of the embodiments of the present disclosure, there is also provided a storage medium including a stored program, wherein the method of any one of the above is performed by a processor when the program is run.
According to another aspect of the embodiments of the present disclosure, there is also provided an apparatus for processing data based on multiple satellites, including: a data transmission ratio determining module, configured to send a data processing request including a first priority standard to a plurality of satellites, and determine a data transmission ratio corresponding to each satellite based on a first neural network and a first priority parameter corresponding to the first priority standard returned by each satellite, where the first priority standard is used to indicate a factor affecting data transmission capability of the satellite; the first data transmission module is used for dividing the data blocks according to the data transmission proportion corresponding to each satellite and transmitting the divided data to each satellite; a target reference station determining module, configured to establish communication connection with a plurality of reference stations in a communication coverage area based on a data processing request, and determine a target reference station according to a second priority standard set in advance and a second priority parameter of each reference station corresponding to the second priority standard, where the second priority standard is used to indicate a factor affecting data processing capability of each reference station; the data processing module is used for transmitting the data corresponding to the source mobile terminal to the target reference station and processing the data corresponding to the source mobile terminal by the target reference station; and the second data transmission module is used for establishing communication connection with the target mobile terminal and transmitting data corresponding to the source mobile terminal to the target mobile terminal.
According to another aspect of the embodiments of the present disclosure, there is also provided an apparatus for processing data based on multiple satellites, including: a processor; and a memory, coupled to the processor, for providing instructions to the processor for processing the steps of: the source mobile terminal sends data processing requests containing first priority standards to a plurality of satellites, and determines data transmission proportions corresponding to the satellites based on a first neural network and first priority parameters corresponding to the first priority standards returned by the satellites, wherein the first priority standards are used for indicating factors affecting the data transmission capacity of the satellites; the source mobile terminal divides the data blocks according to the data transmission proportion corresponding to each satellite and transmits the divided data to each satellite; the satellites establish communication connection with a plurality of reference stations in a communication coverage area based on the data processing request, and determine target reference stations according to preset second priority standards and second priority parameters of the reference stations corresponding to the second priority standards, wherein the second priority standards are used for indicating factors affecting the data processing capacity of the reference stations; the plurality of satellites transmit data corresponding to the source mobile terminal to the target reference station, and the target reference station processes the data corresponding to the source mobile terminal; and the target reference station establishes communication connection with the target mobile terminal and transmits data corresponding to the source mobile terminal to the target mobile terminal.
The application provides a method for processing data based on multiple satellites. First, the source mobile terminal transmits a data processing request to a plurality of satellites, and determines a data transmission ratio corresponding to each satellite based on a first priority parameter returned by each satellite and a first priority criterion set in advance. Then, the source mobile terminal divides the data blocks according to the data transmission ratio corresponding to each satellite and transmits data to each satellite. Further, the plurality of satellites establish communication connections with the plurality of reference stations within the communication coverage based on the data processing request, and determine the target reference station based on the second priority parameter returned by each reference station and the second priority criterion set in advance. In addition, the plurality of satellites transmit data corresponding to the source mobile terminal to the target reference station and the target reference station processes the data corresponding to the source mobile terminal. And finally, the target reference station establishes communication connection with the target mobile terminal, and transmits data corresponding to the source mobile terminal to the target mobile terminal.
The application combines the distributed network based on the wireless network with the satellite, thereby ensuring the data transmission efficiency while processing a large amount of data by utilizing the characteristic that the distributed network based on the wireless network can process a large amount of data and the characteristic that the satellite has higher data transmission efficiency. Further, the present application also utilizes a plurality of satellites instead of a single satellite, so that the plurality of satellites can simultaneously receive data transmitted by the source mobile terminal. Therefore, even though the amount of data corresponding to the source mobile terminal is large, since the source mobile terminal transmits the divided data to each satellite according to the data transmission ratio, compared with the case that only one satellite is used for transmitting the data corresponding to the source mobile terminal, the plurality of satellites simultaneously transmit the data corresponding to the source mobile terminal, so that the time of the whole data processing process can be greatly reduced, and the data processing efficiency can be increased. Therefore, the technical problems that in the prior art, only one satellite interacts with the source mobile terminal, when the data quantity to be processed is large, a large amount of data is transmitted by only a single satellite, the efficiency of the whole data processing process is necessarily reduced, and the time cost for processing the data is increased are solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure, illustrate and explain the present disclosure, and together with the description serve to explain the present disclosure. In the drawings:
FIG. 1A is a schematic diagram of a prior art system for processing data using a single satellite-based and distributed network;
FIG. 1B is a schematic diagram of another prior art system for processing data using a single satellite-based and distributed network;
fig. 2A is a schematic diagram of a hardware architecture of a satellite according to the first aspect of embodiment 1 of the present application;
fig. 2B is a schematic diagram of a hardware architecture of the reference station according to the first aspect of embodiment 1 of the present application;
fig. 3A is a schematic diagram of a source mobile terminal according to the first aspect of embodiment 1 of the present application;
FIG. 3B is a modular schematic of a satellite according to the first aspect of embodiment 1 of the application;
FIG. 4 is a flow chart of a method for processing data based on multiple satellites according to the first aspect of embodiment 1 of the application;
FIG. 5A is a schematic diagram of a system for processing data using a plurality of satellite-based and distributed networks according to the first aspect of embodiment 1 of the present application;
FIG. 5B is a schematic diagram of another system for processing data using a plurality of satellite-based and distributed networks according to the first aspect of embodiment 1 of the present application;
FIG. 6 is a schematic diagram of a first neural network according to a first aspect of embodiment 1 of the present application;
FIG. 7 is a schematic diagram of a second neural network according to the first aspect of embodiment 1 of the present application;
FIG. 8 is a schematic diagram of an apparatus for processing data based on multiple satellites according to the first aspect of embodiment 2 of the application; and
fig. 9 is a schematic diagram of an apparatus for processing data based on multiple satellites according to the first aspect of embodiment 3 of the present application.
Detailed Description
In order to better understand the technical solutions of the present disclosure, the following description will clearly and completely describe the technical solutions of the embodiments of the present disclosure with reference to the drawings in the embodiments of the present disclosure. It will be apparent that the described embodiments are merely embodiments of a portion, but not all, of the present disclosure. All other embodiments, which can be made by one of ordinary skill in the art without inventive effort, based on the embodiments in this disclosure, shall fall within the scope of the present disclosure.
It should be noted that the terms "first," "second," and the like in the description and claims of the present disclosure and in the foregoing figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the disclosure described herein may be capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
According to the present embodiment, there is provided an embodiment of a method of processing data based on multiple satellites, it being noted that the steps shown in the flowcharts of the figures may be performed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that herein.
FIG. 1A is a schematic diagram of a prior art system for processing data using a single satellite-based and distributed network. Referring to fig. 1A, the system includes: a source mobile terminal 30, a satellite 1, and a plurality of reference stations 201 to 20n. The reference stations 201 to 20n within the communication coverage of the satellite 1 can establish a communication connection with the satellite 1, so as to interact with the satellite 1. Similarly, a source mobile terminal 30 within communication coverage of satellite 1 can also establish a communication connection with satellite 1 to interact with satellite 1.
The source mobile terminal 30 transmits the data block to the satellite 1, and the satellite 1 determines a target reference station from among the plurality of reference stations 201 to 20n, and transmits the data block to the target reference station, and the target reference station processes the data. Finally, the target reference station transmits the processed data to the target mobile terminal 40.
Referring to fig. 1A, in this case, the source mobile terminal 30 and the target mobile terminal 40 are the same mobile terminal.
FIG. 1B is a schematic diagram of another prior art system for processing data using a single satellite based and distributed network. Referring to fig. 1B, unlike fig. 1A, the source mobile terminal 30 and the target mobile terminal 40 may not be the same mobile terminal.
Fig. 2A further illustrates a schematic diagram of a hardware architecture of the satellites 1 to 3 in fig. 1A and 1B. Referring to fig. 2A, satellites 1 to 3 include an integrated electronic system including: processor, memory, bus management module and communication interface. Wherein the memory is coupled to the processor such that the processor can access the memory, read program instructions stored in the memory, read data from the memory, or write data to the memory. The bus management module is connected to the processor and also to a bus, such as a CAN bus. The processor can communicate with the satellite-borne peripheral connected with the bus through the bus managed by the bus management module. In addition, the processor is also in communication connection with the camera, the star sensor, the measurement and control transponder, the data transmission equipment and other equipment through the communication interface. It will be appreciated by those of ordinary skill in the art that the configuration shown in fig. 2A is merely illustrative and is not intended to limit the configuration of the electronic device described above. For example, satellites 1-3 may also include more or fewer components than shown in FIG. 2A, or have a different configuration than shown in FIG. 2A.
Fig. 2B further illustrates a schematic diagram of a hardware architecture of the reference stations 201 to 20n in fig. 1. Referring to fig. 2B, the reference stations 201-20 n may include one or more processors (which may include, but are not limited to, a microprocessor MCU or a processing device such as a programmable logic device FPGA), a memory for storing data, a transmission device for communication functions, and an input/output interface. Wherein the memory, the transmission device and the input/output interface are connected with the processor through a bus. In addition, the method may further include: a display connected to the input/output interface, a keyboard, and a cursor control device. It will be appreciated by those of ordinary skill in the art that the configuration shown in fig. 2B is merely illustrative and is not intended to limit the configuration of the electronic device described above. For example, the reference stations 201-20 n may also include more or fewer components than shown in FIG. 2B, or have a different configuration than shown in FIG. 2B.
It should be noted that one or more of the processors and/or other data processing circuits shown in fig. 2A and 2B may be referred to herein generally as a "data processing circuit. The data processing circuit may be embodied in whole or in part in software, hardware, firmware, or any other combination. Furthermore, the data processing circuitry may be a single stand-alone processing module, or incorporated in whole or in part into any of the other elements in the computing device. As referred to in the embodiments of the present disclosure, the data processing circuit acts as a processor control (e.g., selection of the variable resistance termination path to interface with).
The memories shown in fig. 2A and 2B may be used to store software programs and modules of application software, such as program instructions/data storage devices corresponding to the multi-satellite data processing method in the embodiments of the present disclosure, and the processor may execute various functional applications and data processing by executing the software programs and modules stored in the memories, that is, implement the multi-satellite data processing method of the application program described above. The memory may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid state memory
It should be noted here that in some alternative embodiments, the apparatus shown in fig. 2A and 2B described above may include hardware elements (including circuits), software elements (including computer code stored on a computer readable medium), or a combination of both hardware elements and software elements. It should be noted that fig. 2A and 2B are only one example of a specific example, and are intended to illustrate the types of components that may be present in the above-described devices.
Fig. 3A is a schematic diagram of a source mobile terminal according to an embodiment of the present application. Referring to fig. 3A, a satellite interaction module, a data transmission ratio determining module and a scheduling module are disposed in the source mobile terminal 30. Wherein the source mobile terminal 30 establishes communication connections with the plurality of satellites through the satellite interaction module to receive the first priority parameters transmitted by the plurality of satellites. The data transmission proportion determining module receives the first priority parameters corresponding to the satellites transmitted by the satellite interaction module, and determines the data transmission proportion corresponding to the satellites according to the first priority parameters and a preset first priority standard. The scheduling module divides the data blocks according to the data transmission proportion and transmits the divided data to each satellite through the satellite interaction module.
Fig. 3B is a schematic diagram of a satellite according to an embodiment of the application. Referring to fig. 3B, a terminal device interaction module, a priority probability calculation module, a scheduling module, and a reference station interaction module are disposed in the satellite. The satellite establishes communication connection with the source mobile terminal 30 through the terminal equipment interaction module, so as to receive a data processing request sent by the source mobile terminal 30, and sends a first priority parameter to the source mobile terminal 30 through the terminal interaction module. The satellite establishes a communication connection with the reference stations 201 to 20n through the reference station interaction module, so as to receive the second priority parameters transmitted by the respective reference stations 201 to 20n. And after receiving the second priority parameters corresponding to the reference stations 201-20 n, the priority probability calculation module determines the second priority probability corresponding to the reference stations 201-20 n according to the second priority parameters. The scheduling module transmits data to each reference station 201-20 n through the reference station interaction module according to the second priority probability corresponding to each reference station 201-20 n.
In the above-described operating environment, according to a first aspect of the present embodiment, there is provided a method of processing data based on multiple satellites, the method being implemented by the processor shown in fig. 2A and 2B. Fig. 4 shows a schematic flow chart of the method, and referring to fig. 4, the method includes:
S402: the source mobile terminal sends data processing requests containing first priority standards to a plurality of satellites, and determines data transmission proportions corresponding to the satellites based on a first neural network and first priority parameters corresponding to the first priority standards returned by the satellites, wherein the first priority standards are used for indicating factors affecting the data transmission capacity of the satellites;
s404: the source mobile terminal divides the data blocks according to the data transmission proportion corresponding to each satellite and transmits the divided data to each satellite;
s406: the satellites establish communication connection with a plurality of reference stations in a communication coverage area based on the data processing request, and determine target reference stations according to preset second priority standards and second priority parameters of the reference stations corresponding to the second priority standards, wherein the second priority standards are used for indicating factors affecting the data processing capacity of the reference stations;
s408: the plurality of satellites transmit data corresponding to the source mobile terminal to the target reference station, and the target reference station processes the data corresponding to the source mobile terminal; and
s410: the target reference station establishes communication connection with the target mobile terminal and transmits data corresponding to the source mobile terminal to the target mobile terminal.
First, the source mobile terminal 30 transmits a data processing request to a plurality of satellites through a satellite interaction module. After receiving the data processing request sent by the source mobile terminal 30 through the terminal equipment interaction module, the satellites transmit the first priority parameter corresponding to the first priority standard to the source mobile terminal 30. Wherein the first priority criteria is used to indicate factors affecting the data transmission capabilities of the satellite. The first priority criterion may be, for example, the rate of satellite data transmissionV i Battery capacity of satelliteC i And the distance between the satellite and the source mobile terminal 30L i . And wherein the first and second heat sinks are disposed,iindicating the serial number of the satellite.
The first priority parameter may be, for example, a parameter of the satellite corresponding to the first priority criterion. Fig. 5A is a schematic diagram of a system for processing data using a plurality of satellite-based and distributed networks according to an embodiment of the present application. Fig. 5B is a schematic diagram of another system for processing data using a plurality of satellite-based and distributed networks according to an embodiment of the present application. Referring to fig. 5A or 5B, the first priority parameter of the satellite 1 is the data transmission rateV 1 Battery capacityC 1 And distance from the source mobile terminal 30L 1 The method comprises the steps of carrying out a first treatment on the surface of the The first priority parameter of satellite 2 is the data transmission rate V 2 Battery capacityC 2 And distance from the source mobile terminal 30L 2 And the first priority parameter of the satellite 3 is the data transmission rateV 3 Battery capacityC 3 And distance from the source mobile terminal 30L 3 . Thus, satellite 1, satellite 2, and satellite 3 each transmit corresponding first priority parameters to the source mobile terminal 30.
Then, the data transmission ratio determining module in the source mobile terminal 30 determines the data transmission ratio corresponding to each satellite based on the first priority parameter returned by each satellite and the first neural network set in advance (S402). Specifically, first, after receiving the first priority parameters returned by each satellite through the satellite interaction module, the source mobile terminal 30 inputs the first priority parameters corresponding to each satellite into the neural network, and obtains the data transmission ratio corresponding to each satellite. Fig. 6 is a schematic diagram of a first neural network according to an embodiment of the present application. Referring to fig. 6, the first neural network is provided with an input layer, a hidden layer, an output layer, and a softmax classification layer. First, the source mobile terminal 30 determines a first priority parameter corresponding to the satellite 1 as a data transmission rateV 1 Battery capacity C 1 And distance from the source mobile terminal 30L 1 The method comprises the steps of carrying out a first treatment on the surface of the The first priority parameter corresponding to satellite 2 is the data transmission rateV 2 Battery capacityC 2 And distance from the source mobile terminal 30L 2 And the first priority parameter corresponding to satellite 3 is the data transmission rateV 3 Battery capacityC 3 And distance from the source mobile terminal 30L 3 . Wherein the first priority parameter corresponding to satellite 1, the first priority parameter corresponding to satellite 2, and the first priority parameter corresponding to satellite 3 may form a vector matrixA 1 。
The source mobile terminal 30 then matrices the vectorA 1 Input to the first neural network model to output a data transmission ratio corresponding to the satellite 1P 1 Data transmission ratio corresponding to satellite 2P 2 Data transmission ratio corresponding to satellite 3P 3 . Wherein the data transmission ratioP 1 Ratio of data transmissionP 2 Data transmission ratioP 3 The sum is 100%.
Further, the scheduling module in the source mobile terminal 30 divides the data blocks according to the data transmission ratio corresponding to each satellite 1 to 3, and transmits data to each satellite 1 to 3 through the satellite interaction module (S404). For example, the data transmission ratio corresponding to satellite 1P 1 30% of the data transmission ratio corresponding to satellite 2 P 2 45% of the data transmission ratio corresponding to satellite 3P 3 25%. The scheduling module in the source mobile terminal 30 follows the data block by 30%:45%: dividing the data blocks according to the proportion of 25%, and transmitting data accounting for 30% of the total data quantity of the data blocks to the satellite 1 through a satellite interaction module; data accounting for 45% of the total data amount of the data blocks is transmitted to satellite 2 and data accounting for 25% of the total data amount of the data blocks is transmitted to satellite 3.
Meanwhile, the plurality of satellites establish communication connection with the plurality of reference stations within the communication coverage area through the reference station interaction module after receiving the data processing request transmitted from the source mobile terminal 30. For example, referring to fig. 5A or fig. 5B, the satellite 1 establishes communication connection with reference stations 201 to 204 in a communication coverage area through a reference station interaction module; the satellite 2 establishes communication connection with the reference stations 202-205 in the communication coverage area through the reference station interaction module, and the satellite 3 establishes communication connection with the reference stations 203-206 in the communication coverage area through the reference station interaction module.
Further, after the plurality of satellites establish communication connections with the plurality of reference stations within the communication coverage area, each reference station then transmits a second priority parameter to the satellites in communication connection therewith.
The plurality of satellites determine a target reference station according to the second priority parameter returned by each reference station and a second priority criterion set in advance (S406). Wherein the second priority criterion is indicative of a factor affecting the data processing capability of the reference station. The second priority criterion may be, for example, the arithmetic processing capability of the reference stationI x Data storage capacity of reference stationY x And distance to the target mobile terminal 40S x . And wherein the first and second heat sinks are disposed,xindicating the serial number of the reference station. The second priority parameter may be, for example, a parameter of the reference station corresponding to the second priority criterion. And wherein the target reference station may be one reference station or a plurality of reference stations.
For example, referring to fig. 5A or 5B, reference station 201, reference station 202, reference station 203, and reference station 204 establish a communication connection with satellite 1. The second priority parameter received by satellite 1 and corresponding to reference station 201 is the arithmetic processing capabilityI 1 Data storage capacityY 1 And distance to the target mobile terminal 40S 1 The method comprises the steps of carrying out a first treatment on the surface of the The second priority parameter corresponding to the reference station 202 is the arithmetic processing capabilityI 2 Data storage capacityY 2 And distance to the target mobile terminal 40S 2 The method comprises the steps of carrying out a first treatment on the surface of the With reference station 20 3 the second priority parameter corresponding to the operation processing capabilityI 3 Data storage capacityY 3 And distance to the target mobile terminal 40S 3 The method comprises the steps of carrying out a first treatment on the surface of the The second priority parameter corresponding to the reference station 204 is the arithmetic processing capabilityI 4 Data storage capacityY 4 And distance to the target mobile terminal 40S 4 。
The second priority parameters corresponding to the plurality of reference stations that establish communication connection with the satellite 2 and the second priority parameters corresponding to the plurality of reference stations that establish communication connection with the satellite 3 are the same as the second priority parameters corresponding to the plurality of reference stations that establish communication connection with the satellite 1, and therefore will not be described in detail herein.
Thus, the plurality of satellites determine the target reference station based on the second priority parameter returned by each reference station within the communication coverage area. The foregoing will be described in detail later, and thus will not be described in detail here.
Further, after the plurality of satellites determine the target reference station, data corresponding to the source mobile terminal 30 is transmitted to the target reference station through the reference station interaction module, and the data corresponding to the source mobile terminal 30 is processed by the target reference station (S408). Specifically, referring to fig. 5A or 5B, in the case where the satellite determines that the number of target reference stations is 1 according to the second priority parameter corresponding to each reference station, the satellite transmits all data to the target reference stations; when the satellite determines that the number of the target reference stations is a plurality of according to the second priority parameters corresponding to the reference stations, a scheduling module in the satellite divides the data according to the data processing proportion and transmits the data to the reference stations.
For example, the satellite 1 determines the reference station 201, the reference station 202, and the reference station 203 as target reference stations based on the second priority parameter corresponding to the reference station 201, the second priority parameter corresponding to the reference station 202, the second priority parameter corresponding to the reference station 203, and the second priority parameter corresponding to the reference station 204. The scheduling module in the satellite 1 divides the data according to the data processing ratio corresponding to the reference station 201, the data processing ratio corresponding to the reference station 202, and the data processing ratio corresponding to the reference station 203, and transmits the data to the reference station 201, the reference station 202, the reference station 203, and the reference station 204, respectively, according to the data processing ratios. It is noted that the data in satellite 1 is 30% of the total data amount of the data block, and thus satellite 1 receives 30% of the total data amount of the data block.
The operation of transmitting data to the target reference station by the scheduling module in the satellite 2 according to the data processing proportion, and the operation of transmitting data to the target reference station by the scheduling module in the satellite 3 according to the data processing proportion are the same as the operation of transmitting data to the target reference station by the scheduling module in the satellite 1 according to the data processing proportion, so that the description thereof will not be repeated here.
In addition, the target reference station processes the data received from the satellite, establishes a communication connection with the target mobile terminal 40, and finally transmits the data corresponding to the source mobile terminal 30 to the target mobile terminal 40 (S410).
As mentioned in the background art, a combination of a distributed network based on a wireless network and a satellite is proposed, so that the characteristics that the distributed network based on the wireless network can process a large amount of data and the characteristics that the satellite is high in data processing efficiency are utilized, and the problems that the existing distributed network based on the wireless network is only used for processing the data, the time delay is large, and the satellite is only used for processing the data, which is not suitable for processing the large amount of data, are solved.
Although the above-described technical solution processes data with a relatively large amount of data and relatively high data processing efficiency, compared to processing data by means of a distributed network based on a wireless network only or by means of satellite only. However, since there is only one satellite interacting with the source mobile terminal, when the amount of data to be processed is large, a large amount of data is transmitted by means of only a single satellite, which inevitably reduces the efficiency of the whole data processing process and increases the time cost of data processing.
In view of this, the present application proposes a method for processing data based on multiple satellites. The application combines the distributed network based on the wireless network with the satellite, thereby ensuring the data transmission efficiency while processing a large amount of data by utilizing the characteristic that the distributed network based on the wireless network can process a large amount of data and the characteristic that the satellite has higher data transmission efficiency. Further, the present application also utilizes a plurality of satellites instead of a single satellite, so that the plurality of satellites can simultaneously receive data transmitted by the source mobile terminal. Therefore, even if the data amount of the source mobile terminal is large, the source mobile terminal transmits the divided data to each satellite according to the data transmission proportion, so that compared with the case that only one satellite is used for transmitting the data corresponding to the source mobile terminal, the plurality of satellites simultaneously transmit the data corresponding to the source mobile terminal, the time of the whole data processing process can be greatly reduced, and the data processing efficiency is improved. Therefore, the technical problems that in the prior art, only one satellite interacts with the source mobile terminal, when the data quantity to be processed is large, a large amount of data is transmitted by only a single satellite, the efficiency of the whole data processing process is necessarily reduced, and the time cost for processing the data is increased are solved.
Optionally, the determining, by the plurality of satellites, the operation of the target reference station according to the preset second priority standard and the second priority parameters of the reference stations corresponding to the second priority standard includes: the plurality of satellites determine one or more reference stations as target reference stations according to second priority parameters corresponding to the reference stations and preset second priority standards.
Specifically, since the reference stations satisfying the second priority criterion can all be the target reference stations, the number of target reference stations may be one or a plurality.
For example, referring to fig. 5A or 5B, the satellite 1 determines the reference station 201, the reference station 202, and the reference station 203 as target reference stations according to the second priority parameters corresponding to the reference station 201, the reference station 202, the reference station 203, and the reference station 204, and the second priority criteria set in advance. Satellite 2 determines reference station 202 and reference station 203 as target reference stations based on second priority parameters corresponding to reference station 202, reference station 203, reference station 204, and reference station 205, and a second priority criterion set in advance. Satellite 3 determines reference station 203 as the target reference station based on the second priority parameters corresponding to reference station 203, reference station 204, reference station 205, and reference station 206, and the second priority criteria set in advance.
Thus, the satellite 1 needs to determine the data processing ratios corresponding to the reference station 201, the reference station 202, and the reference station 203, respectively, divide the data according to the data processing ratios, and transmit the divided data to the reference station 201, the reference station 202, and the reference station 203, respectively; the satellite 2 needs to determine the data processing proportions corresponding to the reference station 202 and the reference station 203 respectively, divide the data according to the data processing proportions, and transmit the divided data to the reference station 202 and the reference station 203 respectively; satellite 3 directly transmits all data to satellite 203.
Thus, by performing an operation of processing data corresponding to the source mobile terminal 30 simultaneously by using a plurality of target reference stations, a technical effect of improving efficiency of processing data can be achieved.
Optionally, the determining, by the plurality of satellites, the operation of the one or more reference stations as the target reference station according to the second priority parameter corresponding to each reference station and the second priority standard set in advance includes: the satellites determine priority probabilities corresponding to the reference stations according to preset second priority standards and based on second priority parameters corresponding to the reference stations and a second neural network; the satellites judge whether the priority probability corresponding to each reference station is larger than a preset priority probability threshold value or not; and the plurality of satellites determine a reference station having a priority probability greater than a priority probability threshold as a target reference station.
Specifically, first, the priority probability calculation module in the plurality of satellites inputs the second priority parameters corresponding to the respective reference stations to the second neural network model, and obtains the priority probabilities corresponding to the respective reference stations. FIG. 7 is a schematic diagram of a second neural network model according to an embodiment of the present application. Referring to fig. 7, the second neural network is provided with an input layer, a hidden layer, an output layer, and a softmax classification layer.
Taking satellite 1 as an example, the second priority parameter corresponding to the reference station 201 received by satellite 1 is the arithmetic processing capabilityI 1 Data storage capacityY 1 And distance to the target mobile terminal 40S 1 The method comprises the steps of carrying out a first treatment on the surface of the The second priority parameter corresponding to the reference station 202 is the arithmetic processing capabilityI 2 Data storage capacityY 2 And distance to the target mobile terminal 40S 2 The method comprises the steps of carrying out a first treatment on the surface of the The second priority parameter corresponding to the reference station 203 is the arithmetic processing capabilityI 3 Data storage capacityY 3 And distance to the target mobile terminal 40S 3 And the second priority parameter corresponding to the reference station 204 is the arithmetic processing capabilityI 4 Data storage capacityY 4 And distance to the target mobile terminal 40S 4 。
Then, the satellite 1 inputs the received second priority parameter corresponding to the reference station 201, the second priority parameter corresponding to the reference station 202, the second priority parameter corresponding to the reference station 203, and the second priority parameter corresponding to the reference station 204 into the second neural network model. Wherein the second priority parameter corresponding to reference station 201, the second priority parameter corresponding to reference station 202, the second priority parameter corresponding to reference station 203, and the second priority parameter corresponding to reference station 204 may form a vector matrix A 2 (i.e., vector matrix in FIG. 7)A 2 ）。
Thus, the second neural network model outputs a priority probability corresponding to the reference station 201 asF 1 The priority probability corresponding to reference station 202 isF 2 The priority probability corresponding to the reference station 203 isF 3 And the priority probability corresponding to the reference station 204 isF 4 . For example, the priority probability corresponding to the reference station 201 is 25%, the priority probability corresponding to the reference station 202 is 30%The priority probability corresponding to the reference station 203 is 30% and the priority probability corresponding to the reference station 204 is 15%.
Further, the satellite 1 determines whether or not the priority probabilities corresponding to the reference station 201, the reference station 202, the reference station 203, and the reference station 204 are greater than a preset priority probability threshold valueF k . The preset priority probability threshold may be 25%, for example.
Determining a reference station as a first target reference station in a case where a priority probability corresponding to the reference station is greater than or equal to a priority probability threshold set in advance; and eliminating the reference station under the condition that the priority probability threshold value corresponding to the reference station is smaller than the preset priority probability threshold value. For example, the satellite 1 is compared to determine that the priority probabilities corresponding to the reference station 201, the reference station 202, and the reference station 203 are greater than the priority probability threshold, so that the reference station 201, the reference station 202, and the reference station 203 can be used as target reference stations, and the priority probability corresponding to the reference station 204 is less than the priority probability threshold, so that the reference station 204 is eliminated.
Therefore, the technical effects of selecting the optimal reference station and improving the efficiency of processing data are achieved by determining the priority probability corresponding to each reference station based on the second priority parameter corresponding to each reference station and the second neural network and taking the reference station with the priority probability greater than or equal to the priority probability threshold as the operation of the target reference station.
Optionally, the operation of determining the plurality of reference stations as target reference stations and processing data corresponding to the source mobile terminal through the target reference stations includes: the plurality of satellites determine data processing proportions corresponding to the target reference stations, wherein the data processing proportions are used for indicating the proportion of the priority probability of each target reference station to the sum of the priority probabilities of all the target reference stations; splitting data corresponding to the source mobile terminal by a plurality of satellites according to the data processing proportion; and the plurality of satellites transmit the split data to the corresponding target reference stations, and each target reference station processes the data corresponding to the source mobile terminal.
Specifically, if a satellite determines a target reference station based on the second priority criteria, the satellite transmits data corresponding to the source mobile terminal 30 to the target reference station. Thus, the data corresponding to the source mobile terminal 30 is processed by the determined one target reference station.
Further, if the satellite determines a plurality of target reference stations according to the second priority criteria, the satellite needs to determine the data processing proportions corresponding to the respective target reference stations further according to the data processing performance corresponding to the respective target reference stations. Wherein the data processing proportion is used for indicating the proportion of the priority probability of each target reference station to the sum of the priority probabilities of all target reference stations.
Referring to fig. 5A or 5B, after determining a plurality of target reference stations, the satellite further determines the data processing proportions corresponding to the respective target reference stations. For example, satellite 1 has determined reference station 201, reference station 202, and reference station 203 as target reference stations, and based on the output result of the second neural network model, it is known that the priority probability corresponding to reference station 201 is 25%, the priority probability corresponding to reference station 202 is 30%, and the priority probability corresponding to reference station 203 is 30%.
The priority probability of reference station 201 is 29.4% of the priority probability sum of all reference stations (reference station 201, reference station 202, and reference station 203), the priority probability of reference station 202 is 35.3% of the priority probability sum of all reference stations (reference station 201, reference station 202, and reference station 203), and the priority probability of reference station 203 is 35.3% of the priority probability sum of all reference stations (reference station 201, reference station 202, and reference station 203).
Whereas the data in satellite 1 is 30% of the total data amount of the data blocks, the reference station 201 actually processes 8.82% of the total data amount of the data blocks corresponding to the source mobile terminal 30, the reference station 202 actually processes 10.59% of the total data amount of the data blocks corresponding to the source mobile terminal 30, and the reference station 203 actually processes 10.59% of the total data amount of the data blocks corresponding to the source mobile terminal 30.
The calculation method of the data processing ratio of the target reference station corresponding to the satellite 2 and the calculation method of the data processing ratio of the target reference station corresponding to the satellite 3 are the same as the calculation method of the data processing ratio of the target reference station corresponding to the satellite 1, and therefore, will not be described in detail here.
And finally, the plurality of satellites transmit the split data to corresponding target reference stations, and the plurality of target reference stations process the data respectively.
After processing the respective data, the plurality of target reference stations transmit the processed data to the target mobile terminal 40. The target mobile terminal 40 then combines the received partial data to generate complete data. For example, the target mobile terminal 40 combines the data transmitted from the reference station 201, the reference station 202, and the reference station 203 corresponding to the satellite 1, the data transmitted from the reference station 202 and the reference station 203 corresponding to the satellite 2, and the data transmitted from the reference station 203 corresponding to the satellite 3, thereby generating a complete data block.
Therefore, each target reference station achieves the technical effect of maximally utilizing the data processing capability of the target reference station through the operation of processing the data corresponding to the data processing proportion.
Thus, according to the first aspect of the present embodiment, the technical effect of greatly reducing the time of the entire data processing process and increasing the efficiency of data processing can be achieved.
Further, as shown with reference to fig. 2A and 2B, according to a second aspect of the present embodiment, there is provided a storage medium. The storage medium includes a stored program, wherein the method of any one of the above is performed by a processor when the program is run.
Therefore, according to the embodiment, the technical effects of greatly reducing the time of the whole data processing process and increasing the data processing efficiency can be achieved.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present invention is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present invention. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required for the present invention.
From the description of the above embodiments, it will be clear to a person skilled in the art that the method according to the above embodiments may be implemented by means of software plus the necessary general hardware platform, but of course also by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present invention.
Example 2
Fig. 8 shows an apparatus 800 for processing data based on multiple satellites according to the first aspect of the present embodiment, the apparatus 800 corresponding to the method according to the first aspect of embodiment 1. Referring to fig. 8, the apparatus 800 includes: a data transmission ratio determining module 810 configured to send a data processing request including a first priority criterion to a plurality of satellites, and determine a data transmission ratio corresponding to each satellite based on a first neural network and a first priority parameter returned by each satellite corresponding to the first priority criterion, wherein the first priority criterion is used to indicate a factor affecting data transmission capability of the satellite; a first data transmission module 820 for dividing the data blocks according to the data transmission ratio corresponding to each satellite and transmitting the divided data to each satellite; a target reference station determining module 830, configured to establish communication connection with a plurality of reference stations in a communication coverage area based on a data processing request, and determine a target reference station according to a second priority criterion set in advance and a second priority parameter of each reference station corresponding to the second priority criterion, where the second priority criterion is used to indicate a factor affecting a data processing capability of each reference station; a data processing module 840 for transmitting data corresponding to the source mobile terminal to the target reference station and processing the data corresponding to the source mobile terminal by the target reference station; and a second data transmission module 850 for establishing a communication connection with the target mobile terminal and transmitting data corresponding to the source mobile terminal to the target mobile terminal.
Optionally, the target reference station determination module 830 includes: and the target reference station determining submodule is used for determining one or more reference stations as target reference stations according to the second priority parameters corresponding to the reference stations and the preset second priority standard.
Optionally, the target reference station determining submodule includes: the priority probability determining module is used for determining the priority probability corresponding to each reference station according to a preset second priority standard and based on second priority parameters corresponding to each reference station and a second neural network; the priority probability threshold determining module is used for determining whether the priority probability corresponding to each reference station is larger than a preset priority probability threshold or not; and a target reference station determination module for determining a reference station having a priority probability greater than a priority probability threshold as a target reference station.
Optionally, the method further comprises: a data processing module, wherein the data processing module comprises: a data processing proportion determining module for determining a data processing proportion corresponding to each target reference station, wherein the data processing proportion is used for indicating the proportion of the priority probability of each target reference station to the sum of the priority probabilities of all target reference stations; the data splitting module is used for splitting the data corresponding to the source mobile terminal according to the data processing proportion; and the data processing sub-module is used for transmitting the split data to the corresponding target reference stations and processing the data corresponding to the source mobile terminal by each target reference station.
Therefore, according to the embodiment, the technical effects of greatly reducing the time of the whole data processing process and increasing the data processing efficiency can be achieved.
Example 3
Fig. 9 shows an apparatus 900 for processing data based on multiple satellites according to the first aspect of the present embodiment, the apparatus 900 corresponding to the method according to the first aspect of embodiment 1. Referring to fig. 9, the apparatus 900 includes: a processor 910; and a memory 920 coupled to the processor 910 for providing instructions to the processor 910 for processing the following processing steps: the source mobile terminal sends data processing requests containing first priority standards to a plurality of satellites, and determines data transmission proportions corresponding to the satellites based on a first neural network and first priority parameters corresponding to the first priority standards returned by the satellites, wherein the first priority standards are used for indicating factors affecting the data transmission capacity of the satellites; the source mobile terminal divides the data blocks according to the data transmission proportion corresponding to each satellite and transmits the divided data to each satellite; the satellites establish communication connection with a plurality of reference stations in a communication coverage area based on the data processing request, and determine target reference stations according to preset second priority standards and second priority parameters of the reference stations corresponding to the second priority standards, wherein the second priority standards are used for indicating factors affecting the data processing capacity of the reference stations; the plurality of satellites transmit data corresponding to the source mobile terminal to the target reference station, and the target reference station processes the data corresponding to the source mobile terminal; and the target reference station establishes communication connection with the target mobile terminal and transmits data corresponding to the source mobile terminal to the target mobile terminal.
Therefore, according to the embodiment, the technical effects of greatly reducing the time of the whole data processing process and increasing the data processing efficiency can be achieved.
The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
In the foregoing embodiments of the present application, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed technology may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the division of the units, such as the division of the units, is merely a logical function division, and may be implemented in another manner, for example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, units or modules, or may be in electrical or other forms.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.

Claims (10)

1. A method of processing data based on multiple satellites, comprising:
the method comprises the steps that a source mobile terminal sends data processing requests containing first priority standards to a plurality of satellites, and determines data transmission proportions corresponding to the satellites based on a first neural network and first priority parameters corresponding to the first priority standards returned by the satellites, wherein the first priority standards are used for indicating factors affecting data transmission capacity of the satellites;
the source mobile terminal divides the data blocks according to the data transmission proportion corresponding to each satellite and transmits the divided data to each satellite;
establishing communication connection with a plurality of reference stations in a communication coverage area by a plurality of satellites based on the data processing request, and determining a target reference station according to a preset second priority standard and second priority parameters of each reference station corresponding to the second priority standard, wherein the second priority standard is used for indicating factors affecting the data processing capacity of each reference station;
Transmitting data corresponding to a source mobile terminal to the target reference station by a plurality of satellites, and processing the data corresponding to the source mobile terminal by the target reference station; and
and the target reference station establishes communication connection with the target mobile terminal and transmits data corresponding to the source mobile terminal to the target mobile terminal.
2. The method of claim 1, wherein the determining, by the plurality of satellites, the operation of the target reference station based on the second priority criteria set in advance and the second priority parameters of the respective reference stations corresponding to the second priority criteria, comprises:
and the satellites determine one or more reference stations as the target reference station according to the second priority parameters corresponding to the reference stations and the preset second priority standard.
3. The method of claim 2, wherein the determining by the plurality of satellites that one or more reference stations are the target reference station based on the second priority parameter corresponding to the respective reference station and a second priority criterion set in advance, comprises:
the satellites determine priority probabilities corresponding to the reference stations according to preset second priority standards and based on second priority parameters corresponding to the reference stations and a second neural network;
The satellites judge whether the priority probability corresponding to each reference station is larger than a preset priority probability threshold value or not; and
a plurality of satellites determine a reference station having the priority probability greater than the priority probability threshold as the target reference station.
4. The method of claim 2, wherein determining a plurality of reference stations as the target reference station and processing data corresponding to the source mobile terminal by the target reference station comprises:
a plurality of satellites determine data processing proportions corresponding to the target reference stations, wherein the data processing proportions are used for indicating the proportion of the priority probability of each target reference station to the sum of the priority probabilities of all target reference stations;
splitting data corresponding to the source mobile terminal by a plurality of satellites according to the data processing proportion; and
and the plurality of satellites transmit the split data to corresponding target reference stations, and the target reference stations process the data corresponding to the source mobile terminal.
5. A storage medium comprising a stored program, wherein the method of any one of claims 1 to 4 is performed by a processor when the program is run.
6. An apparatus for processing data based on multiple satellites, comprising:
a data transmission proportion determining module, configured to send a data processing request including a first priority standard to a plurality of satellites, and determine a data transmission proportion corresponding to each satellite based on a first neural network and a first priority parameter corresponding to the first priority standard returned by each satellite, where the first priority standard is used to indicate a factor affecting data transmission capability of the satellite;
the first data transmission module is used for dividing the data blocks according to the data transmission proportion corresponding to each satellite and transmitting the divided data to each satellite;
a target reference station determining module, configured to establish communication connection with a plurality of reference stations in a communication coverage area based on the data processing request, and determine a target reference station according to a second priority standard set in advance and a second priority parameter of each reference station corresponding to the second priority standard, where the second priority standard is used to indicate a factor affecting data processing capability of each reference station;
the data processing module is used for transmitting the data corresponding to the source mobile terminal to the target reference station and processing the data corresponding to the source mobile terminal by the target reference station; and
And the second data transmission module is used for establishing communication connection with the target mobile terminal and transmitting data corresponding to the source mobile terminal to the target mobile terminal.
7. The apparatus of claim 6, wherein the target reference station determination module comprises:
and the target reference station determining submodule is used for determining one or more reference stations as the target reference station according to the second priority parameters corresponding to the reference stations and the preset second priority standard.
8. The apparatus of claim 7, wherein the target reference station determination submodule comprises:
the priority probability determining module is used for determining the priority probability corresponding to each reference station according to a preset second priority standard and based on a second priority parameter corresponding to each reference station and a second neural network;
the priority probability threshold determining module is used for determining whether the priority probability corresponding to each reference station is larger than a preset priority probability threshold or not; and
and the target reference station judging module is used for determining the reference station with the priority probability larger than the priority probability threshold value as the target reference station.
9. The apparatus as recited in claim 7, further comprising: a data processing module, wherein the data processing module comprises:
a data processing proportion determining module, configured to determine a data processing proportion corresponding to each target reference station, where the data processing proportion is used to indicate a proportion of a priority probability of each target reference station to a sum of priority probabilities of all target reference stations;
the data splitting module is used for splitting the data corresponding to the source mobile terminal according to the data processing proportion; and
and the data processing sub-module is used for transmitting the split data to the corresponding target reference stations and processing the data corresponding to the source mobile terminal by the target reference stations.
10. An apparatus for processing data based on multiple satellites, comprising:
a processor; and
a memory, coupled to the processor, for providing instructions to the processor to process the following processing steps:
the method comprises the steps that a source mobile terminal sends data processing requests containing first priority standards to a plurality of satellites, and determines data transmission proportions corresponding to the satellites based on a first neural network and first priority parameters corresponding to the first priority standards returned by the satellites, wherein the first priority standards are used for indicating factors affecting the data transmission capacity of the satellites;
The source mobile terminal divides the data blocks according to the data transmission proportion corresponding to each satellite and transmits the divided data to each satellite;
establishing communication connection with a plurality of reference stations in a communication coverage area by a plurality of satellites based on the data processing request, and determining a target reference station according to a preset second priority standard and second priority parameters of each reference station corresponding to the second priority standard, wherein the second priority standard is used for indicating factors affecting the data processing capacity of each reference station;
transmitting data corresponding to a source mobile terminal to the target reference station by a plurality of satellites, and processing the data corresponding to the source mobile terminal by the target reference station; and
and the target reference station establishes communication connection with the target mobile terminal and transmits data corresponding to the source mobile terminal to the target mobile terminal.
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