CN108681449A - Digital satellite load information compresses multiple connection source code artificial intelligence Writing method - Google Patents
Digital satellite load information compresses multiple connection source code artificial intelligence Writing method Download PDFInfo
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- CN108681449A CN108681449A CN201810474854.1A CN201810474854A CN108681449A CN 108681449 A CN108681449 A CN 108681449A CN 201810474854 A CN201810474854 A CN 201810474854A CN 108681449 A CN108681449 A CN 108681449A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
- G06F8/33—Intelligent editors
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/10—Requirements analysis; Specification techniques
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/70—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards
Abstract
The present invention provides a kind of digital satellite load information to compress multiple connection source code artificial intelligence Writing method, including is formatted conversion to compression transmission demand；According to formatting, demand data compresses output method to satellite load information and compression algorithm selects；The transmission multiple connection position of satellite load information is determined according to satellite data transmission protocol architecture；The transmission multiplexing method of satellite load information is described according to satellite data transmission protocol architecture；Complete the writing to satellite load information compression multiple connection source code.The present invention has carried out effective compression processing to satellite load output, rapidly obtains compression multiplexing method, and be automatically performed compression and multiple connection process by computer, improves digital satellite load compression multiple connection efficiency.
Description
Technical field
The present invention relates to spacecraft simulation field, more particularly to a kind of digital satellite load information compression is multiple
Connect source code artificial intelligence Writing method.
Background technology
The ratio for being carried out simulating, verifying in engineering design at present, research and development, test process using digital world is greatly promoted,
Satellite object test is of high cost, and the effect of digital satellite is more obvious.Digital Simulation validity depends on being digital satellite and ring
The precision of border model needs to reach component-level to reach with true consistent simulation result, the design accuracy of digital satellite,
Environment includes the coupling of the electromechanical optomagnetic many factors of heat, and it is big and whole that this has resulted in digital spacecraft development amount
The coupled relation of a system is complicated, and modification difficulty is high.Therefore it proposes using artificial intelligence program person's technology, it is complete by computer
At the intelligent writing of digital satellite source program.
What Satellite Camera load usually exported is bitmap format picture, and such picture transfer needs to expend a large amount of number
Resource is passed, therefore, it is necessary to carry out compression processing to picture on star, when transmission will also carry out data packet to improve efficiency
Multiple connection.Compression and multiple connection process and satellite load parameter, transmission requirement are closely bound up, and the inner parameter of every satellite all exists
Difference, the operation element amount that simulation process is completed by people are very big.
Therefore, how to provide a kind of digital satellite load information compression multiple connection source code artificial intelligence Writing method is this
The problem of field technology personnel's urgent need to resolve.
Invention content
In view of this, the present invention provides a kind of digital satellite load information compression multiple connection source code artificial intelligence to write
Method, the present invention have carried out effective compression processing to satellite load output, rapidly obtain compression multiplexing method, and by counting
Calculation machine is automatically performed compression and multiple connection process, improves and writes efficiency.
In order to achieve the above object, the present invention adopts the following technical scheme that：
A kind of digital satellite load information compression multiple connection source code artificial intelligence Writing method, the method includes following
Step：
Step 1: satellite parametric reduction is estimated according to unknown real satellite application environment, pattern, or according to known
Real satellite directly acquires satellite parametric reduction, analyzes satellite load information compression transmission demand, and by the compression transmission demand
It is formatted conversion, obtains formatting demand data；
Step 2: what artificial intelligence program person exported the compression of satellite load information according to the formatting demand data
Object format is selected；
Step 3: artificial intelligence program person according to the formatting demand data to satellite load information compression algorithm into
Row selection；
Step 4: artificial intelligence program person according to satellite data transmission protocol architecture to the transmission multiple connection position of satellite load information
It sets and is determined；
Step 5: artificial intelligence program person according to satellite data transmission protocol architecture to the transmission multiple connection side of satellite load information
Method is described；
Step 6: artificial intelligence program person completes to compress satellite load information the writing of multiple connection source code.
Preferably, in above-mentioned digital satellite load information compresses multiple connection source code artificial intelligence Writing method, the step
In rapid one,
The satellite load information refers to the information data of remote sensing load, visible light that including but not limited to satellite is sent out, red
Outside, the compression output format of EO-1 hyperion, multispectral, SAR load information, the satellite load information is picture or video；And
The formatting demand data is stored into database, the formatting demand includes compression requirements and transport protocol ginseng
Number, the compression requirements include that whether compression damages, compression ratio, compression quality, compression algorithm real-time constrain, the transmission
Protocol parameter includes protocol name, protocol architecture, whether allows multiple connection, multiple connection place layer, multiple connection agreement.
Preferably, above-mentioned digital satellite load information compress multiple connection source code artificial intelligence Writing method in, in order to
Family input is more convenient and flexible, and the satellite load information compression input in the step 2 includes object format and information compression
Demand exports as object format, and specific method is,
When user only inputs object format, do not provide information compression requirements, then the target lattice that user specifies directly are exported
Formula.
When user only inputs information compression requirements, not specified object format, formatting demand number described in step 1 is utilized
It is inputted according to as decision tree, by decision tree reasoning, obtains the object format of the satellite load information compression output.
When user inputs object format and information compression requirements simultaneously, object format is detected, the mesh is detected
Whether style formula meets the information compression requirements of user, exports the object format if meeting, is unsatisfactory for, prompts user
Input information contradiction, is checked.
Preferably, in above-mentioned digital satellite load information compresses multiple connection source code artificial intelligence Writing method, the step
Rapid three specifically include：
Compression process is obtained according to raw payload information format and the satellite load information compression goal format, according to
Compression process determines several algorithms for needing selection, is finally wrapped according in the formatting demand data of the input of user
The information compression requirements contained determine the algorithm.
Preferably, in above-mentioned digital satellite load information compresses multiple connection source code artificial intelligence Writing method, the step
Rapid four obtain the transmission multiple connection position of satellite load information, satellite load feelings specifically, passing tunneling traffic agreement according to number on star
The transmission mode of report is corresponding with number biography tunneling traffic protocol architecture on the star, and satellite load is found according to layer where multiple connection
The transmission multiple connection position of information.
Preferably, in above-mentioned digital satellite load information compresses multiple connection source code artificial intelligence Writing method, the step
It includes packet content clip joining method and packet header flag amending method that the description of multiplexing method is transmitted in rapid five；
It is the package head format in the protocol architecture table read in the database that the wherein described packet header, which knows position amending method,
Definition, according to multiple connection flag look for the relevant position of multiple connection, and then inquire relevant bits and define algorithm.
It can be seen via above technical scheme that compared with prior art, the present disclosure provides a kind of digital satellite loads
Lotus information compresses multiple connection source code artificial intelligence Writing method, meets the inner parameter of different satellites to satellite load information
Multiple connection processing is compressed, number is effectively avoided to pass the wasting of resources.Meanwhile the present invention by computer according to the design parameter of satellite, utilize
Intelligent means replace people to complete the writing of compression and multiple connection process simulation source code on star, have scalability, improve number
The production efficiency of word satellite shortens the lead time of digital satellite, alleviates the workload of digital satellite developer.
Specific implementation mode
The following is a clear and complete description of the technical scheme in the embodiments of the invention, it is clear that described implementation
Example is only a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is general
The every other embodiment that logical technical staff is obtained without making creative work, belongs to protection of the present invention
Range.
The present invention provides a kind of digital satellite load information to compress multiple connection source code artificial intelligence Writing method, this hair
Bright overcome the deficiencies in the prior art substitutes people using artificial intelligence and carries out digital aircraft source code writing, in writing process
The writing of the code encountered, in dummy vehicle the problems such as the internal arithmetic flow of module, can be according to the defeated of aircraft component
Enter output characteristics to make decisions on one's own, improve and write efficiency, reduces aerial vehicle simulation cost.
Digital satellite load information compression multiple connection source code artificial intelligence Writing method of the present invention specifically includes following step
Suddenly：
Load information according to the present invention compresses multiple connection source code, can be directed to multi-satellite and use, each satellite
There is one's own satellite load information compression multiple connection algorithm, the load information compression multiple connection algorithm design of different satellites was both
With similar frame structure, and with information such as different configurations.Digital satellite load information provided in an embodiment of the present invention
It compresses multiple connection source code and closes simulated program method, including step S101~S106：
Step S101 estimates satellite parametric reduction according to unknown real satellite application environment, pattern, or according to
Know that real satellite directly acquires satellite parametric reduction, analyzes satellite load information compression transmission demand, and the compression transmission is needed
It asks and is formatted conversion, obtain formatting demand data.Wherein satellite load information compression transmission requirement formatization description be
The input condition of step S102~S105.Load information in this method refers to the information data of remote sensing load, including but not limited to
The output information of the load such as visible light, infrared, EO-1 hyperion, multispectral, SAR, output format are typically bitmap or video.Load
Information compression transmission demand includes that the compression of load information requires or compress output format, load information transport protocol parameters.It carries
Lotus information compression require to include whether damage, compression ratio, compression quality, compression algorithm real-time constraint.The compression of load information is defeated
It includes but not limited to JPEG, JPEG2000 etc. to go out format.Load information transport protocol parameters include protocol name, protocol architecture,
Layer, multiple connection agreement where whether allowing multiple connection, multiple connection.
Step 102, artificial intelligence program person exports the compression of satellite load information according to the formatting demand data
Object format is selected, and wherein compressed format output process includes two kinds, directly output and decision tree reasoning.The first by
User directly defines output format, at this moment needs not move through decision tree and carries out format discriminance, it is only necessary to user-defined output
Format and the compression requirement of user-defined load information are checked that output format is that user selects in the case of meet demand
Format, be unsatisfactory for, user prompted to reexamine.Second of user does not define output format directly, and input is demand, leads to
It crosses the means such as decision tree to be differentiated, infers output format.
Step 103, artificial intelligence program person according to the formatting demand data to satellite load information compression algorithm into
Row selection.Compression process is obtained according to raw payload information format and output format, several algorithms are had according to compression process determination
It needs to select, finally requires to determine often which algorithm is step be specifically chosen according to the compression of the input of user.
Step S104, transmission multiple connection of the artificial intelligence program person according to satellite data transmission protocol architecture to satellite load information
Position is determined.Tunneling traffic agreement, which is passed, according to number on star obtains multiple connection algorithmic code writing position.By analyzing agreement knot
Structure is corresponding with operation code, and position of the multiple connection code in running code is found according to layer where multiple connection.
Step S105, transmission multiple connection of the artificial intelligence program person according to satellite data transmission protocol architecture to satellite load information
Method is described.Go out the algorithm of two parts core code according to the multiple connection protocal analysis in communication protocol, a part is in packet
Hold and cut stitching algorithm, this some algorithm is generally relatively fixed, and it is not quite alike only to splice packet length.Another part is packet header
Know position amending method, this some algorithm relative activity is larger.
Step S106, artificial intelligence program person complete to compress satellite load information the writing of multiple connection source code.According to step
Rapid S102~S105 outputs as a result, accordingly compressing the execution flow of multiple connection process by artificial intelligence program person.By step S102
Flow described in~S105 is replaced by keyword, is inserted into corresponding digital satellite emulation source code position.
In a case study on implementation, step S101 is embodied as carrying out lattice to satellite load information compression transmission demand
Formulaization describes；Then the data of Green Formula are saved in XML file and Access databases.
Description is formatted to satellite load information compression transmission demand, including：The compression of load information requires or compression
Output format, load information transport protocol parameters.
Load information compression require to include whether damage, compression ratio, compression quality, compression algorithm real-time constraint.Load
It includes but not limited to JPEG, JPEG2000 etc. that information, which compresses output format,.
In present case, if damage and described with Boolean quantity, indicated with " Y ", " N " in XML node.Compression ratio according to
Picture material difference actual compression is also different, therefore can not use very specific quantizating index description, is used in present case
" high ", " middle ", " low " three rank descriptions.Similarly compression quality is also described with these three ranks.Real-time constrains
Mainly for requirement of real-time on star, the time that first compression is carried out with worst condition describes, unit ms.Output format is used
The title of format indicates, such as " JPEG ", " JPQG2000 ".
Such as it, which uses the output of JPEG2000 formats, lossless compression, low compression ratio, high compression matter, is wished to Mr. Yu's satellite
Amount, compression algorithm real-time are constrained to 2000ms.
Load information transport protocol parameters include protocol name, protocol architecture, whether allow multiple connection, multiple connection place layer, answer
Connect agreement.
In present case, protocol name is numbered with ID and title indicates, protocol architecture is stored in the database by layer, profit
It is indexed with ID.Multiple connection whether is allowed to be determined whether to generate the flag of multiple connection code.Layer where multiple connection is retouched with ID number
It states, can be indexed in communication protocol definition.Multiple connection agreement is primarily referred to as cutting data during multiple connection, spell
The alteration ruler of the rule and agreement packet header and packet tail that connect so that multiple connection information can be efficiently stored to multiple connection position.
Such as to Mr. Yu's satellite, using CCSDS (Consultative Committee for Space Data
Systems, international space data system Advisory Board) AOS (Advanced Orbiting Systems, it is advanced in-orbit
System) agreement, agreement ID number is 2.Protocol architecture is with reference to CCSDS standards.Allow multiple connection.Multiple connection position is in MPDU
(MultiPlexing Data Unit, multiplex data unit) (Virtual Channel DataUnit virtually believe to VCDU
Track data unit) during.Multiple connection is added without fresh character, and by multiple EPDU, (EncaPsulation DataUnit encapsulate number
According to unit) finishing up connects, and the content for often filling up a MPDU data cell forms a MPDU packet, in addition behind the packet header MPDU
It is sent to VCDU, as shown in the table, the content beyond MPDU capacity continues to be stored in next MPDU packets, such as in following table
EPDUm packets.
1 encapsulated data units of table
For the hierarchical relationship of the agreement record such as following table in database
Agreement table in 2 database of table
In a case study on implementation, step S102 is embodied as selecting satellite load information compression output format
It selects.When user has input the output format that satellite load information compresses in step S101 to intelligent program person, then this step is examined
Survey whether user-defined output format meets user-defined load information compression requirement, directly output is used if meeting
Format as defined in family, is unsatisfactory for, and user is prompted to check.When user's non-input/output format, utilization in step S101
Demand input by user is inputted as decision tree, by decision tree reasoning, obtains output format.
Such as in above-mentioned case, it is JPEG2000 that user, which defines output format, and artificial intelligence program person reads user
The demand of input：Lossless compression, low compression ratio, high compression quality, compression algorithm real-time are constrained to 2000ms.To database
The performance of middle JPEG2000 is compared, it is found that JPEG2000 can meet user demand, therefore the output lattice of this step output
Formula is JPEG2000.
In a case study on implementation, step S103 is embodied as selecting satellite load information compression algorithm.
Compression process is obtained according to raw payload information format and output format, there are several algorithms to need to select according to compression process determination
It selects, finally requires to determine often which algorithm is step be specifically chosen according to the compression of the input of user.
Such as in above-mentioned case, satellite raw payload information format is bitmap, then this step detailed process is as follows：
It is obtained first according to the information output format JPEG2000 determined in raw payload information format bitmap and step S102
It can be divided into four steps to entire compression process：Pretreatment, wavelet transformation, quantization, coding.
Pretreatment includes image block, normalized, component transformation.
Image block is that a complete image is divided into several nonoverlapping rectangular blocks, every for JPEG2000
The size of a rectangular block can be arbitrary, and usually bigger compression effectiveness is better, and edge block is smaller and is not usually square.It is right
It is fixed in the size of information of satellite load output, therefore block algorithm can be optimized on ground and upper note, therefore
The algorithm need not select.
Normalized is subsequent processing for convenience, and the sample data of image is symmetrical about 0, such as initial sample
Value is all unsigned int, as sample value IxyWhen [0,2n] ∈, in order to keep its range symmetrical about 0, sample value is subtracted 2n-1,
Therefore the algorithm is also fixed algorithm, need not be selected.
Component transformation is the YCrCb components that the RGB component of bitmap is transformed into JPEG, wherein
Therefore it is also fixed algorithm, need not selects.
Afterwards all there is polyalgorithm in the three each steps of step algorithm, and each step forms an algorithms library, i.e. Wavelet Transformation Algorithm
Library, quantization algorithm library, encryption algorithm library.It needs to select appropriate algorithm from algorithms library in this three steps algorithm determination process.
When algorithms selection first according in step S101 whether lossless compression, compression ratio, compression quality option are calculated
Method coarse sizing selects all algorithms met the requirements from three algorithms libraries.Form all possible assortment of these three algorithms
Combination, such as optional Wavelet Transformation Algorithm n1A, quantization algorithm n2A, encryption algorithm n3It is a, then form n1×n2×n3A possibility
Algorithm combination.
Then the real-time index of all combinations is calculated, the real-time parameter of each algorithm is stored in the database in advance.
Index calculation formula is as follows：
In order to seek unity of standard, what the real-time of algorithm selected is that processing environment is embedded for average 50MIPS processing capacities
The maximum time needed for 24 BMP compression of images of a 1024*1024, i.e., the T standards in formula are handled under equipment.In reality
Need the effect real-time index under standard state being transformed under real satellite processing environment in calculating, N indicates every in formula
Second satellite process instruction number, unit MIPS, N with execute the time inversely；S indicates the size of image in formula, uses pixel
Points indicate that S and execution time are proportional.
Such as the execution time under the nominal operating mode of certain algorithm is 10ms, the processing capacity of real satellite is 100MIPS, star
The image size of upper load output is 4096*4096, then
The index of all algorithms is added up again, obtains completing the maximum time needed for load information processing overall process,
Comparison differentiation is carried out with user-defined real-time index again, rejects all combinations for being unsatisfactory for real-time.
The optimal scheme of effect is finally selected from optional scheme.It is right that each algorithm in binning phase tests out its
The influence coefficient of compression ratio and compression quality, evaluation method are that these coefficients are multiplied, and obtain evaluation coefficient, selection system
The maximum algorithm combination of number.
In a case study on implementation, step S104 is embodied and obtains multiple connection to pass tunneling traffic agreement according to number on star
Position.
Such as certain satellite using AOS agreements mentioned in step S101, artificial intelligence program person are obtained by XML document
The 4th floor in No. 2 agreements is added to the code position.By inquiring database protocol table, it is AOS agreements to obtain No. 2 agreements.
Further inquire database in protocol architecture table, obtain the 4th layer it is corresponding be MPDU layers.Therefore the code should be added to
Before next layer transmits sentence, i.e. before the sentence that MPDU is packaged to VCDU layers.MPDU layers are write according to artificial intelligence program person
The internal statement relationship read when sentence, you can obtain code point of addition.
Its state parameter include filename, line number in function name and function, filename, which executes code, needs text to be added
Part, function name are directed toward certain function in this document, and line number is specifically directed towards the position of code addition in the function in function
Which.
In a case study on implementation, step S105 is embodied to go out two according to the multiple connection protocal analysis in communication protocol
The algorithm of part core code.A part is packet content clip stitching algorithm, this some algorithm is generally relatively fixed, only splices
Packet length is not quite alike.Another part is packet header flag amending method, this some algorithm relative activity is larger, needs to read
Take the package head format in database to define, according to multiple connection flag look for the relevant position of multiple connection, and then inquire relevant bits definition
Algorithm.
Such as in above-mentioned case, is found in AOS agreements beat by the protocol architecture table in inquiry database for MPDU layers first
The packet length of packet.Then packet length is defined in a manner of macrodefinition in AOS protocol headers, due to cutting stitching algorithm
For fixed algorithm, is searched directly from algorithms library and cut stitching algorithm, this completes packet content clip stitching algorithms to write standard
It is standby.
For MPDU package head formats in AOS agreements, the synthesis byte ginseng for being identified with multiple connection flag is found in the database
Number indexes the definition logical algorithm of each for the position of parameter in the header in algorithms library, completes to write preparation.
In a case study on implementation, step S106, be embodied for according to step S102~S105 export as a result, by
Artificial intelligence program person accordingly compresses the execution flow of multiple connection process.Flow described in step S102~S105 is passed through into keyword
It replaces, is inserted into corresponding digital satellite emulation source code position.
It includes aircraft title, load type title, load model that wherein keyword, which is replaced in the implementation case,.Example
Such as aircraft in certain case entitled " Craft1 ", load type entitled " Camera ", load model " CCD01 ".In step
In the rapid ready codes of S102~S105, " " spcial character is utilized to indicate aircraft, when writing is substituted for
“Craft1”；" " spcial character is utilized to indicate that load type title, when writing are substituted for " Camera "；It utilizes
" " spcial character indicates that load model, when writing are substituted for " CCD01 ".
Each embodiment is described by the way of progressive in this specification, the highlights of each of the examples are with its
The difference of his embodiment, just to refer each other for identical similar portion between each embodiment.For being filled disclosed in embodiment
For setting, since it is corresponded to the methods disclosed in the examples, so description is fairly simple, related place is referring to method portion
It defends oneself bright.
The foregoing description of the disclosed embodiments enables those skilled in the art to implement or use the present invention.
Various modifications to these embodiments will be apparent to those skilled in the art, defined herein
General Principle can realize in other embodiments without departing from the spirit or scope of the present invention.Therefore, originally
Invention is not intended to be limited to the embodiments shown herein, and is to fit to special with principles disclosed herein and novelty
The consistent widest range of point.
Claims (6)
1. a kind of digital satellite load information compresses multiple connection source code artificial intelligence Writing method, which is characterized in that the method
Include the following steps：
Step 1: estimating satellite parametric reduction according to real satellite application environment, pattern, or satellite parametric reduction is directly acquired, point
Satellite load information compression transmission demand is precipitated, and the compression transmission demand is formatted conversion, obtaining formatting needs
Seek data；
Step 2: the target lattice that artificial intelligence program person exports the compression of satellite load information according to the formatting demand data
Formula is selected；
Step 3: artificial intelligence program person selects satellite load information compression algorithm according to the formatting demand data
It selects；
Step 4: artificial intelligence program person carries out the transmission multiple connection position of satellite load information according to satellite data transmission protocol architecture
It determines；
Step 5: artificial intelligence program person carries out the transmission multiplexing method of satellite load information according to satellite data transmission protocol architecture
Description；
Step 6: artificial intelligence program person completes to compress satellite load information the writing of multiple connection source code.
2. digital satellite load information according to claim 1 compresses multiple connection source code artificial intelligence Writing method, special
Sign is, in the step 1,
The satellite load information refers to the information data of remote sensing load, visible light that including but not limited to satellite is sent out, infrared, high
The compression output format of spectrum, multispectral, SAR load information, the satellite load information is picture or video；And it will be described
It formats demand data to store into database, the formatting demand includes compression requirements and transport protocol parameters, the pressure
Contracting demand includes that whether compression damages, compression ratio, compression quality, compression algorithm real-time constrain, the transport protocol parameters packet
It includes protocol name, protocol architecture, whether allow multiple connection, multiple connection place layer, multiple connection agreement.
3. digital satellite load information according to claim 1 compresses multiple connection source code artificial intelligence Writing method, special
Sign is that the satellite load information compression input in the step 2 includes object format and information compression requirements, is exported as mesh
Style formula, specific method be,
When user only inputs object format, do not provide information compression requirements, then the object format that user specifies directly is exported.
When user only inputs information compression requirements, not specified object format, made using demand data is formatted described in step 1
It is inputted for decision tree, by decision tree reasoning, obtains the object format of the satellite load information compression output.
When user inputs object format and information compression requirements simultaneously, object format is detected, the target lattice are detected
Whether formula meets the information compression requirements of user, exports the object format if meeting, is unsatisfactory for, user is prompted to input
Information contradiction.
4. digital satellite load information according to claim 1 compresses multiple connection source code artificial intelligence Writing method, special
Sign is that the step 3 specifically includes：
According to raw payload information format and the satellite load information compression goal format, compression process is obtained, according to compression
Flow determines several algorithms for needing selection, finally according to the information for including in the formatting demand data input by user
Compression requirements determine the algorithm.
5. digital satellite load information according to claim 1 compresses multiple connection source code artificial intelligence Writing method, special
Sign is that the step 4 obtains the transmission multiple connection position of satellite load information specifically, passing tunneling traffic agreement according to number on star
It sets, the transmission mode of satellite load information is corresponding with number biography tunneling traffic protocol architecture on the star, according to layer where multiple connection
Find the transmission multiple connection position of satellite load information.
6. digital satellite load information compresses multiple connection source code artificial intelligence Writing method according to claim 1 or 5,
It is characterized in that, the description that multiplexing method is transmitted in the step 5 includes packet content clip joining method and the modification of packet header flag
Method；
It is the package head format definition in the protocol architecture table read in the database that the wherein described packet header, which knows position amending method,
According to multiple connection flag look for the relevant position of multiple connection, and then inquire relevant bits and define algorithm.
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| CN113468711A (en) * | 2020-03-30 | 2021-10-01 | 新疆金风科技股份有限公司 | Method and device for reducing load condition of wind turbine generator |
| CN116244265A (en) * | 2023-03-07 | 2023-06-09 | 国家海洋环境预报中心 | Processing method and device for marine weather numerical forecasting product and electronic equipment |
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