CN109213473B - Artificial intelligence generation method for daily operation process of satellite - Google Patents
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Abstract
The invention discloses an artificial intelligence generation method of a satellite daily operation process, which comprises the following steps: decomposing codes of the daily operation process of the satellite to obtain a decomposition result; acquiring a satellite daily operation process database; writing the routine codes of the daily operation of the satellite based on the decomposition result, the database of the daily operation routine of the satellite, a limited selection decision method and a source code standard decision execution method. The artificial intelligence generation method of the daily operation process of the satellite can realize autonomy and intellectualization of self control of the satellite, and provides a theoretical basis for ground autonomous control of the satellite.
Description
Technical Field
The invention relates to the technical field of artificial intelligence and satellite measurement and control, in particular to an artificial intelligence generation method for a satellite daily operation process.
Background
At present, the number of satellites in China is increased year by year, the types of the satellites are gradually enriched, and measurement and control are necessary means for ground monitoring and controlling the running state of the satellites. The traditional ground is controlled by a control personnel, but the mode gradually shows the limitation along with the increase of the number of satellites, a large amount of telemetering data, the influence of on-duty conditions and other factors.
The satellite is generally in a normal condition, the running state is basically stable, the number of the platform and the load control events is large, but except for the major events, the decision basis and the execution mode are relatively fixed, and the decision basis and the execution mode can be automatically completed by a computer. For abnormal conditions, the mode of human decision is mostly to firstly adopt necessary emergency treatment, then diagnose problems and make subsequent decision, or a computer can firstly generate an emergency scheme and then inform an operator of subsequent treatment by an alarm mode. The processing method needs manual work, intelligent control cannot be achieved by the satellite, autonomy and intellectualization of the satellite are one of the future satellite development trends, and autonomy of ground control is a necessary way for transplanting to the satellite.
Therefore, how to implement autonomy and intellectualization of the satellite management and control is a problem that needs to be solved by those skilled in the art.
Disclosure of Invention
In view of the above, the invention provides an artificial intelligence generation method for a satellite daily operation process, which can automatically generate the daily operation process, not only improve the efficiency, but also improve the satellite control level, and open up a road for the autonomous operation and the intelligence of the satellite.
In order to achieve the purpose, the invention adopts the following technical scheme:
an artificial intelligence generation method for a daily operation process of a satellite comprises the following steps:
s1: decomposing codes of the daily operation process of the satellite to obtain a decomposition result;
s2: acquiring a satellite daily operation process database;
s3: writing the routine codes of the daily operation of the satellite based on the decomposition result, the database of the daily operation routine of the satellite, a limited selection decision method and a source code standard decision execution method.
Preferably, the method comprises the following steps: decomposing the code of the daily operation process of the satellite into: multi-level operation flow code, operation flow transmission condition code, instruction combination and transmission processing code and special case processing code.
Preferably, the multi-level operation flow codes are decomposed according to a tree structure.
Preferably, the operation flow sending condition codes are decomposed into a human-present loop part and a human-absent loop part.
Preferably, the instruction combination and transmission processing code is decomposed into a format combination code, a data combination code, a protocol processing code, and an instruction transmission code.
Preferably, the special case processing code is decomposed into an alarm operation code when the telemetering value is abnormal, a selection and execution code of an emergency flow and a manual decision code.
Preferably, the satellite daily operation process database includes: remote control flow definition table, remote control flow relation definition table, flow packet instruction table, instruction definition table, transmission processing definition table, and remote control flow record table
According to the technical scheme, compared with the prior art, the artificial intelligence generation method for the daily operation process of the satellite is disclosed and provided, the intelligent writing of the daily operation process of the satellite is realized, the satellite can perform self control according to the written daily operation process, the efficiency can be improved, the control level of the satellite can be improved, and a theoretical basis is provided for real ground autonomous control of the satellite.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of an artificial intelligence generation method of a satellite daily operation process of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention discloses an artificial intelligence generation method for a daily operation process of a satellite, which is discussed in detail further below.
1. Decomposition of satellite daily operation process
The method comprises the steps of multi-stage operation flow decomposition, operation flow sending conditions, instruction combination and sending processing and special case processing.
The multi-stage operation flow decomposition method decomposes the satellite daily platform management and load task operation according to a tree structure, and decomposes the satellite daily platform management and load task operation into a multi-stage flow structure, each flow may comprise a plurality of sub-flows, the sub-flows may also comprise a relation, each flow is decomposed to a final stage result which is a one-stage flow, a remote control instruction sending sequence of a specific control event is represented to be completed, a remote control instruction is directly distributed, and a sending format is defined.
The operation flow sending condition comprises that a person is in a loop and a person is not in the loop. Under the condition of a loop, the flow sending condition can be decided by an operator, and the operator aims at some important operation tasks or abnormal conditions. The method comprises the steps that a user is not in a loop condition, control operation is completed by a program in a fully-autonomous mode, flow execution conditions of the user not in the loop include a time judgment condition and a telemetering judgment condition, the time judgment condition includes an absolute time judgment condition and a relative time judgment condition, the telemetering judgment condition includes a single telemetering amount condition and a multi-telemetering amount combination condition, the conditions include greater than, equal to or less than, and comparison numbers include shaping, floating point numbers and character strings.
Instruction combining and transmission processing includes operations such as identifier calculation, data processing and combining, check code calculation, encryption processing, protocol processing, transmission operation, and multiple retransmission mechanism. The identifier calculation mainly includes length identifier calculation, data processing includes data encoding processing, data splitting processing, comprehensive data combination processing and the like, check code calculation includes modes such as CRC (cyclic redundancy check) and parity check, encryption processing includes modes such as character insertion and sequence conversion, protocol processing includes fixed format processing and AOS (automatic optical system) protocol mode, and sending operation includes analog sending of various spatial information bands and band information.
The special condition processing comprises alarm setting when the remote measurement value is abnormal, selection and execution of an emergency flow and a manual decision mode.
2. Obtaining a satellite daily operation process database
The satellite daily operation process data can be obtained through man-machine interaction or other human modes, and the main function of the satellite daily operation process data is to store configuration information such as information which is different for each satellite in the satellite daily operation process. And decision basis is provided for intelligent writing of the daily operation process of the satellite.
The related table group in the satellite daily operation flow database mainly comprises a remote control flow definition, a remote control flow relation definition, a flow containing instruction, an instruction definition, a sending processing definition and a remote control flow record.
The remote control process definition in the database comprises a process definition and a process condition definition. The flow definition includes information such as the name of the flow and whether the flow is a primary flow. The flow condition definition mainly aims at that people are not in a remote control loop, and the operation is completely and autonomously finished by a program. The process condition definition records judgment conditions for executing a process, and the judgment conditions comprise a time judgment condition and a telemetering judgment condition, wherein the time judgment condition is divided into an absolute time judgment condition and a relative time judgment condition, the telemetering judgment condition is divided into a single telemetering condition and a multi-telemetering combination condition, the conditions comprise greater than, equal to and smaller than, and the comparison numbers comprise shaping, floating point numbers and character strings.
The remote control process relation definition is used for recording the inclusion relation among the processes, providing relation information for establishing a tree structure among the processes, and mainly comprises process inclusion sub-process information and sub-process sequence information.
The flow contains instructions for recording which specific instruction units are contained in the primary flow, the packet format of the primary flow and the execution sequence of the instruction units.
The command definition contains measurement and control data, command format and command containing data. The measurement and control data comprises basic byte data and comprehensive byte data according to the data type, the corresponding relation between the data and the satellite parts is embodied, and the measurement and control data comprises information such as data names, data types, value ranges, processing modes, data codes and comprehensive data containing bit data arrangement. The instruction format includes the format of each level of instructions, including the detailed information of various types of identifiers and configuration information such as calculation modes. Instructions contain data, including instructions containing basic byte data, containing synthetic byte data, instruction containing relationships, and the like.
The transmission process definition includes operations such as identifier calculation, data processing and combination, check code calculation, encryption processing, protocol processing, transmission operation, multiple retransmission mechanism, and the like. The identifier calculation mainly includes length identifier calculation, data processing includes data encoding processing, data splitting processing, comprehensive data combination processing and the like, check code calculation includes modes such as CRC (cyclic redundancy check) and parity check, encryption processing includes modes such as character insertion and sequence conversion, protocol processing includes fixed format processing and AOS (automatic optical system) protocol mode, and sending operation includes analog sending of various spatial information bands and band information.
The remote control flow record is used for recording the arrangement result of the control flow, corresponds to the execution requirement of each level, and comprises the number of each level of flow, the sending mode information, whether to participate in decision by people, whether to alarm, alarm operation and emergency flow. The sending mode information comprises two modes of time mode and remote measuring condition, and the time mode comprises two modes of absolute time and relative time.
3. Intelligent writing of satellite daily control flow ground program
By loading the database and manually selecting the top-level flow to be executed, the program automatically arranges all sub-flows and automatically executes all subsequent control operations according to conditions.
The satellite daily control flow ground program comprises: the method comprises the steps of flow arrangement source code, operation flow sending condition source code writing, instruction combination and sending processing source code and special case processing source code.
The flow arrangement source code mainly uses the flow relation in the database as a decision basis, utilizes a circulating traversal flow definition table according to the uppermost flow which is artificially arranged to determine the sub-flows contained in the upper flow, continues traversing each sub-flow to contain the sub-flows, circulates the steps until the arrangement of the final sub-flows is completed, establishes the tree structure relation of the whole operation flow, and writes the frame of the source code of the whole operation flow according to the information column.
And the sending condition source code is used for defining the switching relation among the sub-processes and mainly serves as a judgment function. And obtaining a judgment condition according to the condition flow definition, wherein the judgment condition comprises two modes of time judgment and telemetering amount judgment, and the judgment condition of the judgment function is marked by using a return value. For the time judging mode, the absolute time condition is compared with the current computer time to judge that the sending condition is satisfied, time recording is carried out when each piece is sent, and the relative time condition is compared with the last instruction sending time to judge that the time is satisfied. The telemetering judgment condition forms a telemetering value meeting condition or a plurality of telemetering value combination conditions according to the database result, and the judgment condition comprises three comparison modes of more than, equal to and less than. And writing the sending condition source code according to the information and the rule column.
The instruction combination and transmission processing source code comprises format combination, data combination, protocol processing and instruction transmission. The format combination changes the mode of length and other information in the traditional manual calculation format, and the program automatically calculates and combines the length, check code and other information. The length is counted according to the configuration mode, the included packet format or the total length of the data is combined with the length data unit to calculate the value. And automatically calculating the check code by calling a corresponding check algorithm according to the check starting and ending position and the specific data value. The format combination obtains information such as packet format, packet data length, check code and the like according to the identifier definition in the sending processing definition. And the data processing acquires the basic information and the combination mode of the remote control command according to the data processing and combination in the sending processing definition. The basic information of the remote control command comprises a command name, a command type, a command length, a data processing mode, a data processing parameter and the like; the combination mode comprises data splitting, comprehensive byte data combination and the like. The protocol processing function is used for defining the remote control mode of the remote control instruction, and comprises fixed remote control, AOS protocol remote control and the like. The command sending is used for defining information such as frequency bands and wave bands sent by the remote control command, obtaining the information of the frequency bands and the wave bands through a database, and calling a fixed function to realize the remote control command sending. According to the information, the column write instruction is combined with the transmission processing source code.
The special condition processing source code comprises alarm operation when the remote measurement value is abnormal, selection and execution of an emergency flow, manual decision and the like. The alarm operation when the telemetering value is abnormal is an alarm operation when the telemetering value is defined to be abnormal, and the abnormal condition is judged by using a return value. And obtaining whether to alarm and alarm operation according to the remote control flow record. The alarm operation includes various modes such as desktop prompt, sound alarm, information or mail sending and the like. And selecting and executing the emergency flow, immediately switching to the emergency flow according to the configured emergency flow, starting to send an instruction sequence in the emergency flow, and if the emergency flow is not configured, not taking any operation until manually taking the operation. And obtaining an emergency flow according to the remote control flow record. And (3) adopting an alarm and emergency flow in a manual decision mode aiming at the abnormal condition of the necessary person, and restarting a subsequent operation and control flow when the manual decision is corrected to a correct state by adopting an interruption mode if the emergency flow is configured in the flow. And obtaining whether a person participates in the abnormal condition or not through remote control process recording. According to the information, the column write instruction is combined with the transmission processing source code.
The invention adopts a digital aircraft source code standard decision execution method when writing each part of codes, and the simple description is based on mature codes and written according to a fixed sequence or logic by using a generating program (i.e. an artificial intelligence programmer).
For example: the source code has a sentence # include 'Federal No. h'
The swio. writeline ("# include \ Federal No. h \") sentence is used in the corresponding generator to execute the writing of the source code.
The writing sequence and writing logic of the generating program are written dead in the generating program and are determined according to the sequence and logic of the source code.
The writing of the execution method of the artificial intelligence programmer based on the standard decision comprises three implementation modes: 1. writing the source code by using the generation logic solidified in the input information according to the input information; 2. according to the input information, the corresponding lines and fields to be copied are selected, and some parts are directly copied or replaced and then copied.
1. And writing the source code by using the generation logic solidified in the input information.
The whole remote control instruction sequence is packaged into a function, the parameters of the function are a packet number and an output source packet array, the return value of the function is a packet length, the main body of the function is a multi-branch selection statement, and the instruction sending condition is used as the selection condition of the branch. The format of the remote control instruction sequence is c files, function names and function declarations are written according to the flow names in the flow definition table, frames of the whole function around the source code are arranged according to the flow, the instruction sending condition list is traversed, the sending condition function is called, and the return value of the sending condition function is used as the branch selection condition. And searching a sub-process containing instruction according to each sub-process ID in the process arrangement, and searching the instruction containing packet format combination, data combination, protocol processing and instruction sending according to the instruction ID to obtain the instruction packet format, the instruction containing data, the packet transmission protocol and the sending format corresponding to the instruction of the instruction. And sequentially writing the sub-processes in the remote control command sequence and the command packets contained in the sub-processes according to the information.
2. Selecting corresponding lines and fields to be copied according to the input information, and directly copying or replacing some parts and then copying;
and copying the remote control instruction data to be sent to an output array of the remote control instruction sequence function, wherein the instruction data in the remote control instruction packet is a copy statement. The remote control instruction data depends on data combination, and the remote control instruction data is obtained by searching a data combination list according to the data ID, and the information such as data name, data type, data length, maximum value, minimum value and the like is obtained. The information is copied from the database, the part containing "$$$$$$$$$" in the data name is replaced by the entity name, and the part containing "@ @ is replaced by the single unit name. And sequentially writing instruction data copy statements according to the information.
The intelligent writing method used in the invention comprises the following steps: a source code writing limited selection decision method and a source code specification decision execution method. The writing of the content such as conditions, loops, variables, sentences and the like is determined by using a limited selection decision method, such as the decision of an instruction combination mode in an instruction combination and transmission processing source code, the decision of forming an operation flow framework in a flow arrangement source code, and the decision of a remote control instruction transmission condition. For example: in the writing process of the sending condition source code, the sending judging conditions only have time and telemetering amount, and the sending judging conditions are selected according to different sending instructions. And completing the writing of the normalized source code by using a source code normalized decision execution method, such as writing in statements of function definition, variable naming, variable assignment, branch selection and the like. For example: when the variable definition and naming are carried out on the remote control instruction data, the renaming of the variable is realized by replacing the key words so as to distinguish the entity from the single unit. Adding a special symbol (such as "$$$$$") to the name of the entity of the satellite when writing the variable definition according to a determined replacement rule.
The source code writing limited selection decision method comprises the following steps:
step one, acquiring an execution object and a decision tree according to a decision target;
the decision target comprises a universality selection decision and an application layer selection decision;
wherein the commonality selection decision comprises: selecting a simulation platform and a project, selecting a variable type, selecting a variable definition position and mode, selecting an array and a list, and selecting a circulation mode;
the application layer selection decision is to decide a simulation execution object on the basis of the specified aircraft structure and parameters.
Step two, screening the execution objects according to the input objects and the decision tree to obtain a feasible execution object set;
constructing a limited selection evaluation system comprising simulation granularity and a simulation platform;
the set of feasible execution objects is obtained according to a limited choice evaluation system, specifically comprising,
making a decision on simulation granularity according to the simulation time of the platform and the condition of occupied resources;
judging whether a real component is required to be accessed according to the simulation time of the platform and the situation of occupied resources, and making a decision on the simulation platform;
and selecting execution objects meeting the requirements of the simulation granularity and the simulation platform to form an executable execution object set.
Step three, finding out the characteristic parameters describing the execution objects under the target and a corresponding calculation method according to the decision target, and calculating the characteristic parameters of each execution object aiming at the feasible execution object set in the step two;
the characteristic parameters in the third step comprise simulation precision, simulation time and resource occupation;
the measurement standard of the simulation precision comprises simulation granularity, simulation error and calculation result precision; wherein the simulation granularity comprises a spacecraft integrity level, a subsystem level, a component level, and a component assembly level; the simulation error comprises a principle model and an error model aiming at each simulation granularity; the calculation result precision refers to the minimum resolution of the result parameters;
simulation time refers to the time actually spent in completing the calculation of a single simulation cycle;
the measurement standard of the resource occupation comprises simulation platform resources, storage resources and computing resources; the simulation platform resources refer to the number of occupied simulation computers or simulation board cards; the storage resources refer to a fixed memory space occupied by the global variables, a heap space and a stack space occupied by the temporary variables; the computing resource refers to the complexity of the algorithm, i.e., the space occupied by the algorithm.
Step four, scoring the characteristic parameters of the execution object under the decision target; the scoring method is a normalization method, and the characteristic parameters are mapped to an interval [0,1 ].
Step five, calculating a comprehensive score to obtain an optimal execution object; and multiplying the normalized score corresponding to each characteristic parameter by the weight by adopting a weighted average mode to finally obtain a weighted score, and finding out the execution object with the highest score by comparing the scores of the execution objects to obtain the optimal execution object.
And sixthly, writing a source code according to the selected optimal execution object.
It should be noted that the above intelligent method has been applied in the previous patent, and is not specifically exemplified herein.
The method for executing the source code specification decision comprises the following steps:
the method comprises the following steps that firstly, multi-dimensional decomposition is carried out on a digital aircraft source code by using a plurality of dimensional decomposition methods to obtain a minimum decomposition result;
the decomposition method mainly comprises code hierarchy, aircraft type, system dimension, simulation granularity and cross combination among multiple decomposition methods;
clustering the minimum decomposition result, and establishing a digital aircraft source code writing decision tree;
this step can be subdivided into the following two small steps:
(1) and clustering the minimum decomposition result, and giving clustering bases including universality and a working logic mode of the clustered applicable objects and applicable conditions of the branches.
Clustering is carried out according to a working logic mode, a source code of a posture and orbit control subsystem in a satellite mainly comprises a posture determining module, a posture control module and a mode monitoring and switching module, a missile guidance control system comprises a flight event monitoring and switching module, a guidance module and a control module, the working logic modes of two aircrafts are basically consistent, so that the implementation modes are clustered into one class, the source code motion control part of the aircrafts is divided into three parts according to a clustered result, the first part is an aircraft state determining module, the second part is a state monitoring and specific condition meeting switching logic module in the flight process, and the third part is an aircraft motion control module.
(2) Establishing a complete decision tree of source codes of the digital aircraft written by programmers: after clustering the source code decomposition results, establishing a decision tree
Step three, establishing an artificial intelligence programmer for executing standard writing operation according to the branch condition of the decision tree; and selecting a source code writing execution method according to the application range, the change frequency and the change mode factors, and establishing an intelligent programmer.
And fourthly, reading the configuration information of the scene to be generated by the artificial intelligence programmer to generate the digital aircraft simulation source program.
This step can be subdivided into the following two small steps:
(1) intelligent programmer reads that the required generated scene contains aircraft configuration information
The resulting artificial intelligence programmer is used to read the profile input information required to write a digital flight. The configuration file is decomposed according to file types and comprises a database, a formatted file (xml file), a file library and the like. The profiles are broken down according to applicability, including general for all aircraft, general for each type of aircraft, specific for each model, etc.
(2) And judging layer by layer according to the branch applicable conditions of the decision tree, acquiring a source code writing operation execution method, executing the writing operation and automatically generating the source code.
And in the artificial intelligence programmer, judging and screening the satisfaction conditions of branches of each level of the decision tree according to the branch statements of the decision tree, and searching the minimum branch of each step in the writing process.
According to the writing method of each branch, the writing of the source code of the complete digital aircraft system is completed through the modes of writing of a source code generating program, reading and writing of a database, direct copying of a file and replacement and copying of the file.
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (2)
1. An artificial intelligence generation method for a satellite daily operation process is characterized by comprising the following steps:
s1: decomposing codes of the daily operation process of the satellite to obtain a decomposition result;
s2: acquiring a satellite daily operation process database;
s3: writing the satellite daily operation flow codes based on the decomposition result, the satellite daily operation flow database, a limited selection decision method and a source code standard decision execution method;
decomposing the code of the daily operation process of the satellite into: the method comprises the following steps of (1) multi-level operation flow codes, operation flow sending condition codes, instruction combination and sending processing codes and special case processing codes;
decomposing the multi-level operation flow codes according to a tree structure;
decomposing the operation flow sending condition codes into a human-in loop part and a human-out loop part;
decomposing the instruction combination and transmission processing code into a format combination code, a data combination code, a protocol processing code and an instruction transmission code;
and decomposing the special condition processing code into an alarm operation code when the telemetering value is abnormal, a selection and execution code of an emergency flow and a manual decision code.
2. The method of artificial intelligence generation for a satellite routine procedure of claim 1 wherein the database of satellite routine procedures comprises: a remote control flow definition table, a remote control flow relation definition table, a flow packet instruction table, an instruction definition table, a sending processing definition table and a remote control flow record table.
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