CN116167520B - System, method, medium and equipment for determining astronaut cabin-leaving movable window - Google Patents
System, method, medium and equipment for determining astronaut cabin-leaving movable window Download PDFInfo
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Abstract
The invention belongs to the field of aerospace, and particularly relates to a system, a method, a medium and equipment for determining an active window of a spaceman out of a cabin. The system comprises: the system comprises a track calculation module, a space environment analysis module, an energy angle calculation module, an application mode adjustment module, a macroscopic time window forecasting module and an out-of-cabin time window comprehensive decision module. The invention comprehensively considers three application modes including a macroscopic time window forecasting mode, a specific cabin-leaving time window forecasting mode and an analysis time window mode, and the three application modes can be applied to most scenes of on-line business process construction and off-line comprehensive off-line analysis, and have wide application range and high universality. The forecasting method of the combined constraint condition ordering decision mode is applied to the comprehensive decision process of the out-of-cabin time window, so that the flexibility and the freedom degree of analysis of the out-of-cabin window of the astronaut based on the multiple constraint conditions are greatly improved, and the use and analysis dimensions of a user are widened.
Description
Technical Field
The invention belongs to the field of aerospace, and particularly relates to a system, a method, a medium and equipment for determining an active window of a spaceman out of a cabin.
Background
The ex-cabin activity of the astronauts is an important item in the manned aerospace mission flying event, and the out-cabin activity is timely carried out according to mission arrangement. To ensure successful performance of tasks and safety of the astronauts, numerous constraints need to be considered when planning the astronaut's out-of-cabin activity window, such as: energy constraints, planning event scheduling, space environment, space and earth work and rest constraints, meteorological conditions and the like. Because the selection and execution of the spacecraft cabin-outlet window are implemented by dynamic rolling iteration in combination with factors such as manned spacecraft orbit conditions and task arrangement, the process is roughly divided into two stages, namely the selection of a macroscopic time window based on task requirements and guarantee conditions, and the selection of a specific cabin-outlet time window in combination with various constraint conditions for implementing cabin-outlet activities. The selection process of the active window of the astronaut leaves the cabin involves multiple rounds of interaction, cooperation and negotiation of a plurality of systems, and the current task implementation process is mostly completed in a conference mode, so that the current state easily causes the problems of uncontrolled process quality, low working efficiency and no integrated management.
With the vigorous development of manned aerospace industry, space station construction is steadily advanced, and frequent requirements of out-of-cabin load tests are met, so that astronauts can more frequently carry out-of-cabin activities to and from the inside and the outside of the cabin. Based on the above, in the current stage, a set of more efficient, flexible and intelligent technical scheme is needed for the selection of the active window of the astronaut.
Disclosure of Invention
The invention aims to provide a system, a method, a medium and equipment for determining an active window of a spaceman out of a cabin.
The technical scheme for solving the technical problems is as follows: an astronaut off-board activity window determination system, comprising: the system comprises a track calculation module, a space environment analysis module, an energy angle calculation module, an application mode adjustment module, a macroscopic time window forecasting module and a cabin outlet time window comprehensive decision module;
the application mode pipe adjusting module is used for: acquiring an application scene mode of each astronaut cabin-outlet active window, configuration state information of each astronaut cabin-outlet active window and initial orbit data;
the track calculation module is used for: performing orbit extrapolation data calculation based on the initial orbit data and an orbit calculation mode corresponding to an application scene mode of an astronaut cabin-outlet movable window corresponding to an astronaut to be cabin-outlet movable, generating a calculation result, and sending the calculation result to the energy angle calculation module and the space environment analysis module;
the energy angle calculation module is used for: calculating the solar vector and the included angle between tracks based on the calculation result, generating time sequence energy angle data, and sending the energy angle data to the macroscopic time window forecasting module;
The macroscopic time window forecasting module is used for: determining a time window meeting preset energy constraint conditions based on the energy angle data;
the space environment analysis module is used for: based on the calculation result, a spatial environment of a spacecraft orbit path where the out-of-cabin astronaut is located is predicted by combining with a preset radiation band constraint condition, and a prediction result is generated;
the cabin-outlet time window comprehensive decision module is used for: and determining an out-of-cabin activity window of the astronaut to be out-of-cabin activity based on the out-of-cabin comprehensive constraint condition and combining the prediction result and a time window meeting the preset energy constraint condition.
The beneficial effects of the invention are as follows: the invention comprehensively considers three application modes including a macroscopic time window forecasting mode, a specific cabin-leaving time window forecasting mode and an analysis time window mode, and the three application modes can be applied to most scenes of on-line business process construction and off-line comprehensive off-line analysis, and have wide application range and high universality. The forecasting method of the combined constraint condition ordering decision mode is applied to the comprehensive decision process of the out-of-cabin time window, so that the flexibility and the freedom degree of analysis of the out-of-cabin window of the astronaut based on the multiple constraint conditions are greatly improved, and the use and analysis dimensions of a user are widened.
On the basis of the technical scheme, the invention can be improved as follows.
Further, the method further comprises the following steps:
the visual display module is used for: displaying the application scene mode of each astronaut cabin-outlet active window, the configuration state information of each astronaut cabin-outlet active window, the calculation result, the energy angle data, the time window meeting the preset energy constraint condition, the prediction result and the astronaut cabin-outlet active window to be subjected to cabin-outlet activity.
Further, the application scene mode of each astronaut cabin-leaving active window comprises:
a macroscopic time window forecasting mode of the astronaut cabin-leaving activity, a specific cabin-leaving time window forecasting mode and an analysis time window mode.
Further, the track calculation mode corresponding to the application scene mode of the astronaut cabin-outlet active window corresponding to the astronaut to be cabin-outlet active comprises:
the system comprises a rapid orbit calculation model corresponding to a macroscopic time window forecasting mode of the astronaut cabin-leaving activity, a high-precision orbit calculation model corresponding to a specific cabin-leaving time window forecasting mode and an orbit calculation model in an orbit calculation model set corresponding to an analysis time window mode.
Further, the method further comprises the following steps:
the data back-end service module is used for: and transmitting push data to the visual display module, wherein the push data comprises the data displayed by the visual display module.
The other technical scheme for solving the technical problems is as follows: a method for determining an active window of a spaceman out of a cabin comprises the following steps:
step 1, an application mode management module acquires an application scene mode of each astronaut cabin-outlet movable window, configuration state information of each astronaut cabin-outlet movable window and initial orbit data;
step 2, performing track extrapolation data calculation by a track calculation module based on the initial track data and a track calculation mode corresponding to an application scene mode of an astronaut cabin outlet movable window corresponding to an astronaut to be cabin outlet movable, generating a calculation result, and sending the calculation result to an energy angle calculation module and a space environment analysis module;
step 3, an energy angle calculation module calculates the included angle between the solar vector and the orbit based on the calculation result, generates time sequence energy angle data, and sends the energy angle data to a macroscopic time window prediction module;
step 4, the macroscopic time window forecasting module determines a time window meeting the preset energy constraint condition based on the energy angle data;
Step 5, a space environment analysis module predicts the space environment of the spacecraft orbit path where the out-of-cabin astronaut is based on the calculation result and in combination with a preset radiation band constraint condition, and generates a prediction result;
and 6, determining an out-of-cabin activity window of the astronaut to be out-of-cabin activity by the out-of-cabin time window comprehensive decision module based on the out-of-cabin comprehensive constraint condition and combining the prediction result and the time window meeting the preset energy constraint condition.
The beneficial effects of the invention are as follows: the invention comprehensively considers three application modes including a macroscopic time window forecasting mode, a specific cabin-leaving time window forecasting mode and an analysis time window mode, and the three application modes can be applied to most scenes of on-line business process construction and off-line comprehensive off-line analysis, and have wide application range and high universality. The forecasting method of the combined constraint condition ordering decision mode is applied to the comprehensive decision process of the out-of-cabin time window, so that the flexibility and the freedom degree of analysis of the out-of-cabin window of the astronaut based on the multiple constraint conditions are greatly improved, and the use and analysis dimensions of a user are widened.
Further, the method further comprises the following steps:
and 7, displaying an application scene mode of each astronaut cabin-outlet movable window, configuration state information of each astronaut cabin-outlet movable window, the calculation result, the energy angle data, the time window meeting the preset energy constraint condition, the prediction result and the cabin-outlet movable window of the astronaut to be cabin-outlet movable by the visual display module.
Further, the application scene mode of each astronaut cabin-leaving active window comprises:
a macroscopic time window forecasting mode of the astronaut cabin-leaving activity, a specific cabin-leaving time window forecasting mode and an analysis time window mode.
Further, the track calculation mode corresponding to the application scene mode of the astronaut cabin-outlet active window corresponding to the astronaut to be cabin-outlet active comprises:
the system comprises a rapid orbit calculation model corresponding to a macroscopic time window forecasting mode of the astronaut cabin-leaving activity, a high-precision orbit calculation model corresponding to a specific cabin-leaving time window forecasting mode and an orbit calculation model in an orbit calculation model set corresponding to an analysis time window mode.
Further, the method further comprises the following steps:
the data back-end service module transmits push data to the visual display module, wherein the push data comprises the data displayed by the visual display module.
The other technical scheme for solving the technical problems is as follows: a storage medium having instructions stored therein which, when read by a computer, cause the computer to perform the method of any of the preceding claims.
The beneficial effects of the invention are as follows: the invention comprehensively considers three application modes including a macroscopic time window forecasting mode, a specific cabin-leaving time window forecasting mode and an analysis time window mode, and the three application modes can be applied to most scenes of on-line business process construction and off-line comprehensive off-line analysis, and have wide application range and high universality. The forecasting method of the combined constraint condition ordering decision mode is applied to the comprehensive decision process of the out-of-cabin time window, so that the flexibility and the freedom degree of analysis of the out-of-cabin window of the astronaut based on the multiple constraint conditions are greatly improved, and the use and analysis dimensions of a user are widened.
The other technical scheme for solving the technical problems is as follows: an electronic device includes the storage medium and a processor executing instructions within the storage medium.
The beneficial effects of the invention are as follows: the invention comprehensively considers three application modes including a macroscopic time window forecasting mode, a specific cabin-leaving time window forecasting mode and an analysis time window mode, and the three application modes can be applied to most scenes of on-line business process construction and off-line comprehensive off-line analysis, and have wide application range and high universality. The forecasting method of the combined constraint condition ordering decision mode is applied to the comprehensive decision process of the out-of-cabin time window, so that the flexibility and the freedom degree of analysis of the out-of-cabin window of the astronaut based on the multiple constraint conditions are greatly improved, and the use and analysis dimensions of a user are widened.
Drawings
FIG. 1 is a structural framework diagram provided by an embodiment of an astronaut off-board activity window determination system of the present invention;
FIG. 2 is a schematic flow chart provided by an embodiment of a method for determining an active window of a spaceman;
FIG. 3 is a diagram of a system provided by an embodiment of a method for determining an active window for a flight crew out of a cabin;
FIG. 4 is a flow chart of a macroscopic time window forecast mode provided by an embodiment of a method for determining an active window for a spaceman to leave a cabin;
FIG. 5 is a flowchart of a specific out-of-cabin time window forecast mode provided by an embodiment of a method for determining an active out-of-cabin window of an astronaut;
fig. 6 is a schematic flow chart of a forecasting method provided by an embodiment of a method for determining an active window of a spaceman going out of cabin.
Detailed Description
The principles and features of the present invention are described below with examples given for the purpose of illustration only and are not intended to limit the scope of the invention.
As shown in fig. 1, an astronaut out-of-cabin activity window determining system includes: the system comprises a track calculation module 200, a space environment analysis module 500, an energy angle calculation module 300, an application mode adjustment module 100, a macroscopic time window forecasting module 400 and an out-of-cabin time window comprehensive decision module 600;
the application mode tuning module 100 is configured to: acquiring an application scene mode of each astronaut cabin-outlet active window, configuration state information of each astronaut cabin-outlet active window and initial orbit data;
the track calculation module 200 is configured to: performing orbit extrapolation data calculation based on the initial orbit data and an orbit calculation mode corresponding to an application scene mode of an astronaut cabin-taking-out activity window corresponding to an astronaut to be cabin-taking-out activity, generating a calculation result, and sending the calculation result to the energy angle calculation module 300 and the space environment analysis module 500;
The energy angle calculation module 300 is configured to: calculating the sun vector and the included angle between tracks based on the calculation result, generating time series energy angle data, and sending the energy angle data to the macroscopic time window forecasting module 400;
the macroscopic time window forecasting module 400 is configured to: determining a time window meeting preset energy constraint conditions based on the energy angle data;
the spatial environment analysis module 500 is configured to: based on the calculation result, a spatial environment of a spacecraft orbit path where the out-of-cabin astronaut is located is predicted by combining with a preset radiation band constraint condition, and a prediction result is generated;
the out-of-cabin time window comprehensive decision module 600 is configured to: and determining an out-of-cabin activity window of the astronaut to be out-of-cabin activity based on the out-of-cabin comprehensive constraint condition and combining the prediction result and a time window meeting the preset energy constraint condition.
In some possible embodiments, the invention comprehensively considers three application modes including a macroscopic time window forecasting mode, a specific cabin-leaving time window forecasting mode and an analysis time window mode, wherein the three application modes can be applied to most scenes of on-line business process construction and off-line comprehensive off-line analysis, and have wide application range and high popularity. The forecasting method of the combined constraint condition ordering decision mode is applied to the comprehensive decision process of the out-of-cabin time window, so that the flexibility and the freedom degree of analysis of the out-of-cabin window of the astronaut based on the multiple constraint conditions are greatly improved, and the use and analysis dimensions of a user are widened.
It should be noted that, as shown in fig. 3, the present invention provides an actual window forecasting system for a flight crew out-of-cabin activity, which includes an application mode adjustment module 100, a track calculation module 200, an energy angle calculation module 300, a macroscopic time window forecasting module 400, a space environment analysis module 500, an out-of-cabin time window comprehensive decision module 600, a data back-end service module, and a visual display module:
the application mode tuning module 100 is configured to: acquiring an application scene mode of each astronaut cabin-outlet active window, configuration state information of each astronaut cabin-outlet active window and initial orbit data; for details of this module reference may be made to the following examples:
first, explanation is made on partial nouns and the like:
the out-of-cabin activity window determination is a multi-system multi-round interactive and iterative determination process. According to the task planning and execution convention, mainly two phases are involved, the first phase is coarse determination (i.e. macroscopic window forecast), the second phase is precise determination (i.e. specific time window), and then the implementation process. However, the need for process analysis exists because the task planning process involves the need for window constraints to relax or adjust. Combining the three working requirements, the scheme is called as different application scenes.
The configuration state information includes: track calculation correlation configuration (track calculation step length, extrapolation days, etc.);
the method comprises the steps of energy constraint condition related configuration (energy constraint file, self-defined energy constraint angle, energy angle output interval configuration and the like);
forecast-related configurations (timing processing configuration, whether time window analysis switch, etc.);
spatial environment-related configurations (radiation band proton model type, energy threshold, proton flux threshold, window duration, etc.).
Application mode tuning module 100: for example, if "whether time window analysis" in the configuration state information is selected, if the state is selected, then high-precision track model calculation is performed and then relevant calculation and analysis of the space environment analysis module is performed), and management (management, that is, configuration through a user interface, management of data flow trend in the system is performed) and different application mode data processing flows are performed;
The track calculation module 200 is configured to: performing orbit extrapolation data calculation (the calculation is the prior art and is not described in detail herein) based on the initial orbit data and an orbit calculation mode corresponding to an application scene mode of an astronaut cabin-taking activity window corresponding to an astronaut to be cabin-taking activity, generating a calculation result, and transmitting the calculation result to the energy angle calculation module 300 and the space environment analysis module 500; for details of this module reference may be made to the following examples:
track calculation module 200: the system is used for receiving the track calculation mode state (namely, the processing mode corresponding to the application scene mode according to the astronaut out-of-cabin activity window) and the initial track data sent by the application mode management module 100, carrying out track extrapolation and respectively outputting track data in different states for energy angle calculation, space environment analysis and other analysis (for example, analyzing track results output when the time window mode wants to see the change track forecast model and different extrapolation configurations) according to configuration;
the energy angle calculation module 300 is configured to: calculating the included angle between the solar vector and the track surface based on the calculation result, generating time sequence energy angle data, and transmitting the energy angle data to a macroscopic time window forecasting module; for details of this module reference may be made to the following examples;
Energy angle calculation module 300: the system is used for receiving the track data (time, position, speed or track number) transmitted by the track calculation module 200, determining a track surface by using the position vector and the speed vector, calculating an included angle between a solar vector and the track surface, namely an energy angle, and outputting time-series energy angle data;
the macroscopic time window forecasting module 400 is configured to: based on the energy angle data, determining a time window meeting a preset energy constraint condition (the energy constraint condition is that the energy angle is more than A degree or less than B degree, and the module can screen according to the judging condition); for details of this module reference may be made to the following examples:
macroscopic time window forecast module 400: the system is used for receiving the energy angle data and the energy constraint conditions (for example, the included angle between the solar vector and the track surface is larger than 50 degrees or smaller than 30 degrees) sent by the energy angle calculation module 300, judging a time window meeting the conditions according to the energy constraint conditions, and outputting the time window to the data back-end service module;
the spatial environment analysis module 500 is configured to: based on the calculation result, a spatial environment of a spacecraft orbit path where the out-of-cabin astronaut is located is predicted (a radiation band proton model (a spatial environment simulation calculation method formed based on an AP9AE9 model) is selected for prediction) by combining with a preset radiation band constraint condition (constraint condition comprises spatial environment related configuration (radiation band proton model type, energy threshold, proton flux threshold and window duration), for example, flux of energy >10Mev protons on the orbit >1cm < -2 > s < -1 > is taken as a radiation band boundary condition), so as to generate a prediction result; for details of this module reference may be made to the following examples:
Spatial environment analysis module 500: the system is used for receiving the track data sent by the track calculation module 200, and forecasting the space environment through which the track passes by combining with the preset radiation band constraint condition;
the out-of-cabin time window comprehensive decision module 600 is configured to: determining an out-of-cabin activity window of an astronaut to be out-of-cabin activity based on out-of-cabin comprehensive constraint conditions (comprising out-of-cabin interval period, out-of-cabin period, meteorological conditions and planning time) and combining the prediction result and a time window meeting preset energy constraint conditions; for details of this module reference may be made to the following examples:
the determining process specifically comprises the following steps: the comprehensive decision mode selects a sequencing method for the combined constraint conditions, the method can freely combine different constraint conditions according to the requirement, and can sequence different constraint conditions according to priority, and output the time window of the cabin leaving after the comprehensive decision.
The out-of-cabin time window comprehensive decision module 600: the time window is used for comprehensively deciding the specific cabin outlet according to the cabin outlet comprehensive constraint conditions, wherein the comprehensive constraint conditions comprise a cabin outlet interval period, a cabin outlet period, meteorological conditions and planning time; the comprehensive decision mode is a combination constraint condition selecting and sorting method;
the module is used for receiving the prediction result output by the space environment analysis module, external system data pushed by the data rear-end service module, comprehensive constraint condition switch instructions and corresponding priority instructions, and the comprehensive decision mode of the combined constraint condition selection ordering method is adopted for screening layer by layer to determine a time window which can be used for specific cabin discharge. For example, when the application mode is a macroscopic time window forecast mode, the comprehensive constraint can be configured as a planned time (first priority), an out-of-cabin period (second priority); when in the specific out-of-cabin time window forecast mode, the comprehensive constraint conditions can be configured as planning time (first priority), out-of-cabin period (second priority), weather condition (third priority), out-of-cabin interval period (fourth priority).
And the data back-end service module: the system is used for receiving the data of the external system and transmitting the data to the internal use of the system, pushing the data of the specific result of the system to the external system, and pushing the internal data to the visual display module for display; the external system data comprise track data, energy constraint, task plan, planning event, meteorological conditions and daily and earth work and rest constraint data; the specific result data comprises a macroscopic time window analysis result and a specific cabin-leaving time window analysis result;
visual display module: the method is used for displaying the configuration, the processing procedure, the result and the interaction state with the external system of different application modes.
The application mode operated by the application mode pipe adjusting module 100 comprises an astronaut cabin-outlet activity macroscopic time window forecasting mode, a specific cabin-outlet time window forecasting mode and an analysis time window mode;
the macroscopic time window forecasting mode can dynamically utilize track data and energy constraint data transmitted by an external system, call a rapid track calculation model to calculate related track data, then transmit the related track data to the energy data of the energy angle calculation model to calculate a time sequence, and output macroscopic time window analysis results after identification by combining with energy constraint conditions; the mode can drive the space environment analysis module 500 and the cabin-leaving time window comprehensive decision module 600 to output a macroscopic time window analysis result in another state according to the need;
The specific out-of-cabin time window forecasting mode can dynamically utilize track data, task plans, planning events, meteorological conditions, space and earth work and rest constraints and macroscopic time window analysis results generated by an internal system and calculate relevant track data of corresponding dates by adopting a high-precision track calculation model according to whether the task plans and the backup window demands exist or not, then transmit the relevant track data to the space environment analysis module 500 for space environment forecasting, and output the specific out-of-cabin time window analysis results after passing through the out-of-cabin time window comprehensive decision module 600;
the analysis time window mode can customize the initial state of track data, energy constraint, task plan, planning event, meteorological condition and heaven and earth work and rest constraint data according to analysis purposes and decides whether to use the constraint condition, different track calculation models can be selected to participate in track calculation according to requirements, and whether to schedule and output macroscopic time window analysis results and specific cabin-leaving time window analysis results is decided according to requirements.
The track calculation module 200 includes multiple track calculation models, enables a fast track calculation model when a macroscopic time window prediction mode is received, enables a high-precision track calculation model when a specific departure time window prediction mode is received, and provides multiple track calculation models (including HPOP, SGP4, J2, J4, twobody and the like) authority when an analysis time window mode is received, so that corresponding calculation can be performed according to preset states of application requirements.
The time-series energy angle data (note that the output result is two parameters, which are in pairs, and one time corresponds to one angle value) output by the energy angle calculation module 300 can adjust the data sampling interval according to the configuration.
The macroscopic time window forecasting module 400 judges whether the conditions are met according to the energy constraint conditions, and has energy constraint data which are dynamically updated by using the self-defined energy constraint conditions or adopting an external system.
The spatial environment analysis module 500 supports forecasting based on single and multiple sets of preset radiation band constraints.
The out-of-cabin time window integrated decision module 600 supports the processing capabilities of the out-of-cabin interval period, out-of-cabin period, meteorological conditions and planned event constraints,
the interval period of the cabin outlet supports space and ground work and rest and has interval time constraint considering two adjacent cabin outlet activities;
the cabin-out period supports the space-earth work and rest, has the requirements of taking the physical state of the astronaut into consideration and the space-earth synchronous work and rest system, and supports the cabin-out requirement constraint in the specific period;
the meteorological conditions support constraint judgment of the meteorological conditions on the on-orbit measurement and control influence level conditions of astronauts;
planning events, supporting dynamic scheduling according to the planning events, screening time windows in which out-of-cabin activities can be scheduled.
The out-of-cabin time window comprehensive decision module 600 supports a forecasting method of combining constraint conditions to select an ordering mode, and the method can freely combine different constraint conditions according to requirements, order the different constraint conditions according to priority and output an out-cabin time window after comprehensive decision. The comprehensive constraint conditions comprise a cabin outlet interval period, a cabin outlet period, meteorological conditions, planning time and the like. Before each constraint, a check box for selecting the constraint is arranged, and priority options (1 level, 2 level and/or) of the constraint condition are arranged, so that the system can judge and calculate according to whether to check and the corresponding priority, and make a layer-by-layer decision to screen the result sequence.
The data back-end service module can receive track data, energy constraint, task plan, planning event, weather condition and heaven and earth work and rest constraint data transmitted by the external system for internal use, can push macroscopic time window analysis results and specific cabin-leaving time window analysis results to support the external system to carry out task planning and cabin-leaving time window selection as required, and can provide data support for the visual display module to display.
The visual display module can provide configuration interfaces of different application modes, provide a supervision interface of a system processing process, provide inquiry and display pages of process and result data, graphs, tables and reports, and provide a supervision interface of an interaction state with an external system.
FIG. 4 is a flow chart of a macroscopic time window forecasting mode in the invention, the mode can dynamically utilize track data and energy constraint data transmitted by an external system, and a rapid track calculation model is called at fixed time to calculate related track data, in the embodiment, a simplified conventional perturbation SCP4 track forecasting model is adopted, then the track data is transmitted to an energy angle calculation model to calculate time series energy data, and a state 1 macroscopic time window analysis result is output after the judgment and the recognition by combining with energy constraint conditions; the mode determines whether to drive the space environment analysis module 500 and the out-of-cabin time window comprehensive decision module 600 according to the preset requirement of whether time window analysis exists or not, and outputs a state 2 macroscopic time window analysis result; the macroscopic time window analysis results of the state 1 and the state 2 are provided to the outside and provided to the visual display module in the system for display through the data back-end service module according to the need.
Fig. 5 is a flowchart of a specific out-of-cabin time window prediction mode in the present invention, where the mode can dynamically utilize track data, task plans, planning events, weather conditions, space and earth work and rest constraints, and state 1 macroscopic time window analysis results generated by internal systems, and calculate relevant track data of a corresponding date by using a high-precision track calculation model according to whether there is a task plan and a backup window requirement, and in this embodiment, an HPOP track prediction model is used, where the calculated date determination logic is as follows: if the date in the task plan appointed by the engineering ensemble needs to be executed, firstly judging whether the date is in a dynamic list of analysis results of a state 1 macroscopic time window (namely whether energy constraint conditions are met or not), and if not, giving an early warning prompt; if yes, judging whether a requirement of reserving a backup window exists and executing only dates in a dynamic list of analysis results of the macro time window in the state 1; the relevant track data calculated by the determined date is transmitted to a space environment analysis module 500 for space environment prediction, and a specific cabin-taking time window analysis result is output after passing through a cabin-taking time window comprehensive decision module 600;
The analysis time window mode has all functions of a macroscopic time window forecasting mode and a specific cabin-leaving time window forecasting mode, can customize initial states of track data, energy constraint, task plan, planning event, weather condition and weather work and rest constraint data according to analysis purposes and decides whether to use the constraint conditions, can select different track calculation models to participate in track calculation according to requirements, and decides whether to schedule and output macroscopic time window analysis results and specific cabin-leaving time window analysis results according to requirements.
The spatial environment analysis module 500 supports forecasting based on single and multiple sets of preset radiation band constraints, for example, energy >5Mev and energy >10Mev can be analyzed simultaneously, and proton flux >1cm-2s-1 can be used as the constraint condition of the abnormal region boundary of the south atlantic ocean.
The out-of-cabin time window integrated decision module 600 supports the processing capabilities of out-of-cabin interval periods, out-of-cabin periods, weather conditions and planned event constraints,
if there is a need for continuous implementation of multiple out-of-cabin activities, sufficient rest and recovery time, necessary on-orbit training time and equipment debugging and preparation time are reserved for astronauts, so that out-of-cabin interval period conditions are used for supporting space and ground work and rest and interval time constraint considering two adjacent out-of-cabin activities;
In order to facilitate collaborative development of space-earth work, the physical state of the astronaut and the space-earth synchronous work and rest system are required to be comprehensively considered, and the cabin-outlet time period is arranged in the daytime as much as possible, so that the cabin-outlet time period conditions are used for supporting the space-earth work and rest system requirements considering the physical state of the astronaut and the space-earth synchronous work and rest system, and supporting the cabin-outlet requirement constraint of a specific time period;
the communication between the sky and the earth is needed during the cabin-out activity period, the instruction and the video transmission are carried out, the relay satellite provides necessary measurement and control communication support, and the meteorological conditions are used for supporting constraint judgment of the meteorological conditions on the on-orbit measurement and control influence level conditions of astronauts because the relay data transmission process is influenced by the meteorological conditions;
the planning event is to dynamically summarize the planning events of all subsystems, then make a plurality of iterations and finally determine, during which a periodical version upgrade is carried out, wherein the window of the spaceship out-of-cabin activity is also a key time, and the planning event conditions are used for supporting the dynamic planning according to the planning events and screening the window of time for planning out-of-cabin activity.
The out-of-cabin time window comprehensive decision module 600 supports a forecasting method of combining constraint conditions to select an ordering mode, and the method can freely combine different constraint conditions according to requirements, order the different constraint conditions according to priority and output an out-cabin time window after comprehensive decision.
The data back-end service module can receive track data, energy constraint, task plan, planning event, weather condition and heaven and earth work and rest constraint data transmitted by the external system for internal use, can push macroscopic time window analysis results and specific cabin-leaving time window analysis results to support the external system to carry out task planning and cabin-leaving time window selection as required, and can provide data support for the visual display module to display.
The visual display module can provide configuration interfaces of different application modes, provide a supervision interface of a system processing process, provide inquiry and display pages of process and result data, graphs, tables and reports, and provide a supervision interface of an interaction state with an external system.
Preferably, in any of the above embodiments, the method further includes:
the visual display module is used for: displaying the application scene mode of each astronaut cabin-outlet active window, the configuration state information of each astronaut cabin-outlet active window, the calculation result, the energy angle data, the time window meeting the preset energy constraint condition, the prediction result and the astronaut cabin-outlet active window to be subjected to cabin-outlet activity.
Preferably, in any embodiment, the application scene mode of each astronaut cabin-leaving active window includes:
A macroscopic time window forecasting mode of the astronaut cabin-leaving activity, a specific cabin-leaving time window forecasting mode and an analysis time window mode.
Preferably, in any embodiment of the foregoing, the track calculation method corresponding to the application scenario mode of the astronaut cabin-leaving active window corresponding to the astronaut to be cabin-leaving active includes:
the system comprises a rapid orbit calculation model corresponding to a macroscopic time window forecasting mode of the astronaut cabin-leaving activity, a high-precision orbit calculation model corresponding to a specific cabin-leaving time window forecasting mode and an orbit calculation model in an orbit calculation model set corresponding to an analysis time window mode.
Preferably, in any of the above embodiments, the method further includes:
the data back-end service module is used for: and transmitting push data to the visual display module, wherein the push data comprises the data displayed by the visual display module.
As shown in fig. 2, a method for determining an active window of an astronaut going out of cabin includes:
step 1, an application mode management module 100 acquires an application scene mode of each astronaut cabin-leaving movable window, configuration state information of each astronaut cabin-leaving movable window and initial orbit data;
step 2, the orbit calculation module 200 performs orbit extrapolation data calculation based on the initial orbit data and an orbit calculation mode corresponding to an application scene mode of an astronaut cabin-exiting activity window corresponding to an astronaut to be cabin-exiting activity, generates a calculation result, and sends the calculation result to the energy angle calculation module 300 and the space environment analysis module 500;
Step 3, the energy angle calculation module 300 calculates the included angle between the solar vector and the track surface based on the calculation result, generates time series energy angle data, and sends the energy angle data to the macroscopic time window prediction module;
step 4, the macroscopic time window forecasting module 400 determines a time window meeting a preset energy constraint condition based on the energy angle data;
step 5, based on the calculation result, the spatial environment analysis module 500 predicts the spatial environment of the spacecraft orbit path where the out-of-cabin astronaut is located by combining with a preset radiation band constraint condition, and generates a prediction result;
step 6, the out-of-cabin time window comprehensive decision module 600 determines an out-of-cabin activity window of the astronaut to be out-of-cabin activity based on the out-of-cabin comprehensive constraint condition and in combination with the prediction result and the time window meeting the preset energy constraint condition.
In some possible embodiments, the invention comprehensively considers three application modes including a macroscopic time window forecasting mode, a specific cabin-leaving time window forecasting mode and an analysis time window mode, wherein the three application modes can be applied to most scenes of on-line business process construction and off-line comprehensive off-line analysis, and have wide application range and high popularity. The forecasting method of the combined constraint condition ordering decision mode is applied to the comprehensive decision process of the out-of-cabin time window, so that the flexibility and the freedom degree of analysis of the out-of-cabin window of the astronaut based on the multiple constraint conditions are greatly improved, and the use and analysis dimensions of a user are widened.
As shown in fig. 6, step S1: constraint condition data preparation step, which is used for preparing track data, energy constraint, task plan, planning event, meteorological condition and space work and rest constraint data, wherein the preparation form can be transmitted into an external system or internally customized;
step S2: an application mode selection and configuration step, namely selecting application scene modes of different astronaut cabin-leaving active time windows as required and configuring state information of corresponding scenes;
step S3: an application mode operation step of calling different data processing and management flows according to the selected application mode and the configuration state;
step S31: a macroscopic time window forecasting mode step, namely, track data and energy constraint data transmitted by an external system can be dynamically utilized, a rapid track calculation model is called to calculate related track data, then the related track data is transmitted to energy data of a time sequence calculated by an energy angle calculation model, and macroscopic time window analysis results are output after identification by combining with energy constraint conditions; the mode can drive the space environment analysis module 500 and the cabin-leaving time window comprehensive decision module 600 to output a macroscopic time window analysis result in another state according to the need;
step S32: a specific out-of-cabin time window forecasting mode step, namely, track data, task plans, planning events, weather conditions, space-earth work and rest constraints and macroscopic time window analysis results generated by an internal system and transmitted by an external system can be dynamically utilized, the relevant track data of corresponding dates is calculated by adopting a high-precision track calculation model according to whether the task plans and the backup window demands exist or not, and then the track data is transmitted to a space environment analysis module 500 for space environment forecasting, and the specific out-of-cabin time window analysis results are output after passing through an out-of-cabin time window comprehensive decision module 600;
Step S32: the step of analyzing the time window mode, namely, the initial states of orbit data, energy constraint, task plan, planning event, meteorological condition and heaven and earth work and rest constraint data can be customized according to the analysis purpose, whether the constraint condition is used or not is decided, different orbit calculation models can be selected to participate in orbit calculation according to the requirement, and whether a macroscopic time window analysis result and a specific cabin-leaving time window analysis result are scheduled and output is decided according to the requirement;
step S4: a data output step of outputting and displaying corresponding result data, graphs, tables, reports and the like according to different application modes as required;
step S5: and a data pushing step, namely pushing the analysis result of the specific macroscopic time window and the analysis result of the specific out-of-cabin time window to an external system according to the requirement.
Wherein the spatial environment analysis module 500 supports forecasting based on single and multiple sets of preset radiation band constraints.
The out-of-cabin time window integrated decision module 600 supports the processing capabilities of the out-of-cabin interval period, out-of-cabin period, meteorological conditions and planned event constraints,
the interval period of the cabin outlet supports space and ground work and rest and has interval time constraint considering two adjacent cabin outlet activities;
the cabin-out period supports the space-earth work and rest, has the requirements of taking the physical state of the astronaut into consideration and the space-earth synchronous work and rest system, and supports the cabin-out requirement constraint in the specific period;
The meteorological conditions support constraint judgment of the meteorological conditions on the on-orbit measurement and control influence level conditions of astronauts;
planning events, supporting dynamic scheduling according to the planning events, screening time windows in which out-of-cabin activities can be scheduled.
The out-of-cabin time window comprehensive decision module 600 supports a forecasting method of a combined constraint condition ordering decision mode, different constraint conditions can be freely combined according to requirements, different constraint conditions can be ordered according to priority, and out-cabin time windows after comprehensive decision are output.
Preferably, in any of the above embodiments, the method further includes:
and 7, displaying an application scene mode of each astronaut cabin-outlet movable window, configuration state information of each astronaut cabin-outlet movable window, the calculation result, the energy angle data, the time window meeting the preset energy constraint condition, the prediction result and the cabin-outlet movable window of the astronaut to be cabin-outlet movable by the visual display module.
Preferably, in any embodiment, the application scene mode of each astronaut cabin-leaving active window includes:
a macroscopic time window forecasting mode of the astronaut cabin-leaving activity, a specific cabin-leaving time window forecasting mode and an analysis time window mode.
Preferably, in any embodiment of the foregoing, the track calculation method corresponding to the application scenario mode of the astronaut cabin-leaving active window corresponding to the astronaut to be cabin-leaving active includes:
the system comprises a rapid orbit calculation model corresponding to a macroscopic time window forecasting mode of the astronaut cabin-leaving activity, a high-precision orbit calculation model corresponding to a specific cabin-leaving time window forecasting mode and an orbit calculation model in an orbit calculation model set corresponding to an analysis time window mode.
Preferably, in any of the above embodiments, the method further includes:
the data back-end service module transmits push data to the visual display module, wherein the push data comprises the data displayed by the visual display module.
The other technical scheme for solving the technical problems is as follows: a storage medium having instructions stored therein which, when read by a computer, cause the computer to perform the method of any of the preceding claims.
In some possible embodiments, the invention comprehensively considers three application modes including a macroscopic time window forecasting mode, a specific cabin-leaving time window forecasting mode and an analysis time window mode, wherein the three application modes can be applied to most scenes of on-line business process construction and off-line comprehensive off-line analysis, and have wide application range and high popularity. The forecasting method of the combined constraint condition ordering decision mode is applied to the comprehensive decision process of the out-of-cabin time window, so that the flexibility and the freedom degree of analysis of the out-of-cabin window of the astronaut based on the multiple constraint conditions are greatly improved, and the use and analysis dimensions of a user are widened.
The other technical scheme for solving the technical problems is as follows: an electronic device includes the storage medium and a processor executing instructions within the storage medium.
In some possible embodiments, the invention comprehensively considers three application modes including a macroscopic time window forecasting mode, a specific cabin-leaving time window forecasting mode and an analysis time window mode, wherein the three application modes can be applied to most scenes of on-line business process construction and off-line comprehensive off-line analysis, and have wide application range and high popularity. The forecasting method of the combined constraint condition ordering decision mode is applied to the comprehensive decision process of the out-of-cabin time window, so that the flexibility and the freedom degree of analysis of the out-of-cabin window of the astronaut based on the multiple constraint conditions are greatly improved, and the use and analysis dimensions of a user are widened.
The reader will appreciate that in the description of this specification, a description of terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
In the several embodiments provided by the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the method embodiments described above are merely illustrative, e.g., the division of steps is merely a logical function division, and there may be additional divisions of actual implementation, e.g., multiple steps may be combined or integrated into another step, or some features may be omitted or not performed.
The above-described method, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such understanding, the technical solution of the present application is essentially or a part contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, comprising several 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 methods of the embodiments of the present application. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-only memory (ROM), a random access memory (RAM, randomAccessMemory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The present invention is not limited to the above embodiments, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the present invention, and these modifications and substitutions are intended to be included in the scope of the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (7)
1. An astronaut off-board activity window determination system, comprising: the system comprises a track calculation module, a space environment analysis module, an energy angle calculation module, an application mode adjustment module, a macroscopic time window forecasting module and a cabin outlet time window comprehensive decision module;
the application mode pipe adjusting module is used for: acquiring an application scene mode of each astronaut cabin-outlet active window, configuration state information of each astronaut cabin-outlet active window and initial orbit data;
the track calculation module is used for: performing orbit extrapolation data calculation based on the initial orbit data and an orbit calculation mode corresponding to an application scene mode of an astronaut cabin-outlet movable window corresponding to an astronaut to be cabin-outlet movable, generating a calculation result, and sending the calculation result to the energy angle calculation module and the space environment analysis module;
The energy angle calculation module is used for: calculating the solar vector and the included angle between tracks based on the calculation result, generating time sequence energy angle data, and sending the energy angle data to the macroscopic time window forecasting module;
the macroscopic time window forecasting module is used for: determining a time window meeting preset energy constraint conditions based on the energy angle data;
the space environment analysis module is used for: based on the calculation result, a spatial environment of a spacecraft orbit path where the out-of-cabin astronaut is located is predicted by combining with a preset radiation band constraint condition, and a prediction result is generated;
the cabin-outlet time window comprehensive decision module is used for: determining a cabin-leaving movable window of an astronaut to be subjected to cabin-leaving activity based on the cabin-leaving comprehensive constraint condition and combining the prediction result and a time window meeting a preset energy constraint condition;
the application scene mode of each astronaut cabin-leaving active window comprises the following steps:
a macroscopic time window forecasting mode of the astronaut cabin-leaving activity, a specific cabin-leaving time window forecasting mode and an analysis time window mode;
the track calculation mode corresponding to the application scene mode of the astronaut cabin-outlet movable window corresponding to the astronaut to be cabin-outlet movable comprises the following steps:
A rapid orbit calculation model corresponding to a macroscopic time window forecast mode of the astronaut cabin-leaving activity, a high-precision orbit calculation model corresponding to a specific cabin-leaving time window forecast mode and an orbit calculation model corresponding to an analysis time window mode.
2. The astronaut off-board activity window determination system of claim 1, further comprising:
the visual display module is used for: displaying the application scene mode of each astronaut cabin-outlet active window, the configuration state information of each astronaut cabin-outlet active window, the calculation result, the energy angle data, the time window meeting the preset energy constraint condition, the prediction result and the astronaut cabin-outlet active window to be subjected to cabin-outlet activity.
3. The astronaut off-board activity window determination system of claim 2, further comprising:
the data back-end service module is used for: and transmitting push data to the visual display module, wherein the push data comprises the data displayed by the visual display module.
4. A method for determining an active window of an astronaut's cabin, comprising:
Step 1, an application mode management module acquires an application scene mode of each astronaut cabin-outlet movable window, configuration state information of each astronaut cabin-outlet movable window and initial orbit data;
step 2, performing track extrapolation data calculation by a track calculation module based on the initial track data and a track calculation mode corresponding to an application scene mode of an astronaut cabin outlet movable window corresponding to an astronaut to be cabin outlet movable, generating a calculation result, and sending the calculation result to an energy angle calculation module and a space environment analysis module;
step 3, an energy angle calculation module calculates the included angle between the solar vector and the orbit based on the calculation result, generates time sequence energy angle data, and sends the energy angle data to a macroscopic time window prediction module;
step 4, the macroscopic time window forecasting module determines a time window meeting the preset energy constraint condition based on the energy angle data;
step 5, a space environment analysis module predicts the space environment of the spacecraft orbit path where the out-of-cabin astronaut is based on the calculation result and in combination with a preset radiation band constraint condition, and generates a prediction result;
Step 6, the out-of-cabin time window comprehensive decision module determines an out-of-cabin activity window of the astronaut to be out-of-cabin activity based on the out-of-cabin comprehensive constraint condition and in combination with the prediction result and a time window meeting the preset energy constraint condition;
the application scene mode of each astronaut cabin-leaving active window comprises the following steps:
a macroscopic time window forecasting mode of the astronaut cabin-leaving activity, a specific cabin-leaving time window forecasting mode and an analysis time window mode;
the track calculation mode corresponding to the application scene mode of the astronaut cabin-outlet movable window corresponding to the astronaut to be cabin-outlet movable comprises the following steps:
a rapid orbit calculation model corresponding to a macroscopic time window forecast mode of the astronaut cabin-leaving activity, a high-precision orbit calculation model corresponding to a specific cabin-leaving time window forecast mode and an orbit calculation model corresponding to an analysis time window mode.
5. The method for determining an active window of an astronaut as defined in claim 4, further comprising:
and 7, displaying an application scene mode of each astronaut cabin-outlet movable window, configuration state information of each astronaut cabin-outlet movable window, the calculation result, the energy angle data, the time window meeting the preset energy constraint condition, the prediction result and the cabin-outlet movable window of the astronaut to be cabin-outlet movable by the visual display module.
6. A storage medium having stored therein instructions which, when read by a computer, cause the computer to perform the method of claim 4 or 5.
7. An electronic device comprising the storage medium of claim 6, a processor executing instructions within the storage medium.
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| CN107585330A (en) * | 2016-07-06 | 2018-01-16 | 北京空间技术研制试验中心 | Multi-functional manned lunar surface's lander based on modularized design |
| CN109358497A (en) * | 2018-09-14 | 2019-02-19 | 北京航空航天大学 | A kind of tracking of satellite path planning and PREDICTIVE CONTROL based on B-spline function |
| CN115356947A (en) * | 2022-08-24 | 2022-11-18 | 深空探测实验室 | Interactive spacecraft fast mission planning simulation system and method |
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| CN107585330A (en) * | 2016-07-06 | 2018-01-16 | 北京空间技术研制试验中心 | Multi-functional manned lunar surface's lander based on modularized design |
| CN109358497A (en) * | 2018-09-14 | 2019-02-19 | 北京航空航天大学 | A kind of tracking of satellite path planning and PREDICTIVE CONTROL based on B-spline function |
| CN115356947A (en) * | 2022-08-24 | 2022-11-18 | 深空探测实验室 | Interactive spacecraft fast mission planning simulation system and method |
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