CN116204228A - Baseline determination method of satellite measurement and control software and related equipment - Google Patents
Baseline determination method of satellite measurement and control software and related equipment Download PDFInfo
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Abstract
The application discloses a baseline determination method of satellite measurement and control software and related equipment. The method comprises the following steps: calculating first similarity between real-time performance data of each target satellite in different arc segments; selecting a preset number of real-time performance data with higher first similarity to construct a baseline judgment vector set; calculating a second similarity according to each real-time performance data in the baseline judgment vector set and the corresponding separation point performance parameters, wherein the separation point performance parameters are the performance parameters corresponding to the target satellite at satellite-rocket separation points; determining or adjusting a target baseline parameter according to the value of the second similarity; and determining a target baseline according to the target baseline parameters. The method provides a theoretical basis for software upgrading for software designers, and provides a channel for users to clearly know the performance of the software.
Description
Technical Field
The present disclosure relates to the field of satellite measurement and control software, and more particularly, to a baseline determination method and related devices for satellite measurement and control software.
Background
The satellite measurement and control software is a comprehensive satellite/constellation management software platform integrating various functions such as satellite data distribution and management, telemetry processing and monitoring, remote control arrangement and transmission, task visual display, task planning and arrangement, constellation configuration and maintenance, measurement and control station management, system information management and the like. The satellite measurement and control system provides simple, flexible, efficient and comprehensive satellite measurement and control service. However, as the types and versions of the satellite measurement and control software are gradually increased, the performance of different software cannot make a representative evaluation standard, the baseline of the software can be used as a standard for evaluating the performance of one software, and a reliable method is not available for accurately and automatically determining the baseline of the satellite measurement and control software.
Disclosure of Invention
In the summary, a series of concepts in a simplified form are introduced, which will be further described in detail in the detailed description. The summary of the present application is not intended to define the key features and essential features of the claimed subject matter, nor is it intended to be used to determine the scope of the claimed subject matter.
In a first aspect, the present application proposes a method for determining a baseline of satellite measurement and control software, where the method includes:
calculating first similarity between real-time performance data of each target satellite in different arc segments;
selecting a preset number of real-time performance data with higher first similarity to construct a baseline judgment vector set;
calculating a second similarity according to each real-time performance data in the baseline judgment vector set and the corresponding separation point performance parameters, wherein the separation point performance parameters are the performance parameters corresponding to the target satellite at satellite-rocket separation points;
determining or adjusting a target baseline parameter according to the value of the second similarity;
and determining a target baseline according to the target baseline parameters.
Optionally, the real-time performance data is obtained based on a predetermined constraint index, wherein the predetermined constraint index includes a satellite operation index and a satellite observation index.
Optionally, the determining or adjusting the target baseline parameter according to the magnitude of the second similarity includes:
and determining the performance parameter as a target baseline parameter when the value of the second similarity is greater than zero.
Optionally, the determining or adjusting the target baseline parameter according to the magnitude of the second similarity includes:
acquiring data acquisition time corresponding to the real-time performance parameter under the condition that the value of the second similarity is smaller than or equal to zero;
acquiring control instruction sending information within a preset time range of the data acquisition time;
and under the condition that a control instruction is sent within the preset time range, determining the performance parameter as a target baseline parameter.
Optionally, the method further comprises:
and under the condition that no control instruction is sent within the preset time range, adjusting the performance parameter to enable the second similarity to deviate forward.
Optionally, the method further comprises:
acquiring data acquisition time corresponding to the real-time performance parameters;
acquiring the subsequent performance data of the target satellite corresponding to the real-time performance data in the same arc section in the subsequent operation period under the condition that the data acquisition time is smaller than the shortest frame data acquisition time;
and calculating the second similarity again according to the subsequent performance data and the corresponding separation point performance parameters so as to determine or adjust the target baseline parameters again through the value of the new second similarity.
Optionally, the real-time performance data is determined as a baseline parameter if the data acquisition time is greater than or equal to a shortest acquisition time.
In a second aspect, the present application further provides a baseline determining device of satellite measurement and control software, including:
the first calculation unit is used for calculating first similarity between the real-time performance data of each target satellite in different arc sections;
the construction unit is used for selecting a preset number of real-time performance data with higher first similarity to construct a baseline judgment vector set;
the second calculation unit is used for calculating a second similarity according to each real-time performance data in the baseline judgment vector set and the corresponding separation point performance parameter, wherein the separation point performance parameter is the performance parameter corresponding to the satellite arrow separation point of the target satellite;
the adjusting unit is used for determining or adjusting the target baseline parameter according to the value of the second similarity;
and the determining unit is used for determining a target baseline according to the target baseline parameters.
In a third aspect, an electronic device, comprising: a memory, a processor and a computer program stored in the memory and executable on the processor, the processor being configured to implement the steps of the method for determining a baseline for satellite measurement and control software according to any one of the first aspects when the computer program stored in the memory is executed.
In a fourth aspect, the present application further proposes a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the baseline determination method of satellite measurement and control software of any one of the above aspects.
In summary, the baseline determination method of the satellite measurement and control software in the embodiment of the application comprises the following steps: calculating first similarity between real-time performance data of each target satellite in different arc segments; selecting a preset number of real-time performance data with higher first similarity to construct a baseline judgment vector set; calculating a second similarity according to each real-time performance data in the baseline judgment vector set and the corresponding separation point performance parameters, wherein the separation point performance parameters are the performance parameters corresponding to the target satellite at satellite-rocket separation points; determining or adjusting a target baseline parameter according to the value of the second similarity; the satellite measurement and control software provided by the embodiment of the application constructs a baseline judgment vector set by acquiring real-time performance data of different satellites corresponding to different arc segments and calculating the first similarity, selects representative real-time performance data capable of representing the performance of the measurement and control software, and uses the real-time data in the baseline judgment vector set and a corresponding satellite and arrow separation point as a target baseline parameter under the condition that the second similarity meets the condition of serving as the target baseline parameter. According to the method, the target baseline parameter capable of reflecting the software performance can be obtained by calculating the first similarity and the second similarity according to the data in the measurement and control software, so that the established target baseline can accurately reflect the software performance, a theoretical basis for software upgrading is provided for software designers, and a channel capable of clearly knowing the software performance is provided for users.
Additional advantages, objects, and features of the present application will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the present application.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the specification. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
fig. 1 is a flowchart of a baseline determination method of satellite measurement and control software provided in an embodiment of the present application;
FIG. 2 is a flowchart of another method for determining a baseline of satellite measurement and control software according to an embodiment of the present application;
FIG. 3 is a flowchart of another baseline determination method of satellite measurement and control software according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a baseline determining device of satellite measurement and control software according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a baseline determining electronic device of satellite measurement and control software according to an embodiment of the present application.
Detailed Description
According to the baseline determination method of the satellite measurement and control software, the data center is established, the operation and maintenance data of the target commercial satellite are stored in the data center, and the data are extracted from the data center based on the safety detection strategy set and the safety detection task to carry out safety detection, so that the integrity of the data can be effectively ensured, the safety of the operation and maintenance data of the commercial satellite is effectively improved, and the safety level of the control of the commercial satellite is improved.
The terms "first," "second," "third," "fourth" and the like in the description and in the claims of this application and in the above-described figures, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments described herein may be implemented in other sequences than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all, of the embodiments of the present application.
The satellite measurement and control software is used for processing data and business, responding to the business according to requirements, managing data such as engineering measurement and control, load, operation and the like of a constellation, calculating measurement and control events, operating monitoring, managing service and the like. The main work comprises front-end general data exchange and processing, high-performance data management, satellite-ground running state monitoring, comprehensive data management and query statistical analysis, fault alarm diagnosis and auxiliary processing, autonomous uplink remote control, track and control calculation, intelligent data analysis, satellite-ground task measurement and control, load planning and scheduling and the like; the method realizes the universalization, integration and automation service of the constellation multi-target measurement and control. Therefore, the performance of the adopted satellite measurement and control software directly determines whether the established task can be completed, and a reasonable method for evaluating the performance of the satellite measurement and control software does not exist at present. Therefore, the application provides a baseline determination method of satellite measurement and control software, which automatically and accurately extracts the baseline of the software so as to judge the performance of the software.
Referring to fig. 1, a flow chart of a baseline determination method of satellite measurement and control software provided in an embodiment of the present application may specifically include:
s110, calculating first similarity among real-time performance data of each target satellite in different arc segments;
the target satellite is a satellite controlled and measured by satellite measurement and control software, the real-time performance data is the performance data corresponding to the measured satellite, and the first similarity is the first similarity between the performance data of different target satellites in different arc segments. For example, the real-time performance data of different arcs of each target satellite may be used as a vector to form a vector set as shown in fig. 2, where each Ante represents one real-time performance data, and each real-time performance data includes a plurality of elements related to the observed performance. The longitudinal Sat represents different target satellites and the serial numbers after the transverse ante represent different arcs. The first similarity may be the similarity between the performance data corresponding to different arcs of the same satellite, or may be the similarity between different arcs of different satellites, where the similarity may be obtained by any existing method, and is not described herein.
S120, selecting a preset number of real-time performance data with higher first similarity to construct a baseline judgment vector set;
for example, the real-time performance data with higher first similarity is selected, that is, the real-time performance data with higher first similarity value obtained in step S110, the preset number may be 16, and the number footprint of the vectors of the baseline judgment vector set constructed at this time constructs the target baseline, and the calculation speed is not affected excessively.
S130, calculating a second similarity according to each real-time performance data in the baseline judgment vector set and the corresponding separation point performance parameter, wherein the separation point performance parameter is the performance parameter corresponding to the satellite arrow separation point of the target satellite;
the second similarity is exemplary of the similarity between each real-time performance data in the vector set and the corresponding performance parameter of the separation point, and the performance data of the separation point is the performance data corresponding to the separation point of the satellite and the satellite arrow of the target satellite.
S140, determining or adjusting a target baseline parameter according to the value of the second similarity;
by way of example, whether the real-time performance data can meet the condition as the target baseline parameter is determined by the magnitude of the second similarity, if the condition as the target baseline parameter is not met, the real-time performance data is adjusted according to the value of the second similarity, so that the second similarity is calculated again, and the adjusted performance data is taken as the target baseline parameter until the value of the second similarity meets the condition.
S150, determining a target baseline according to the target baseline parameters.
The target baseline is constructed by the target baseline parameters obtained by the real-time performance data in the vector aggregate, and the target baseline parameters are determined and adjusted by the numerical value of the second similarity in the determining process of the target baseline parameters, so that each target baseline parameter can be ensured to meet the condition as the target baseline parameter, and the constructed target baseline can accurately reflect the performance of the satellite measurement and control software.
In summary, the baseline determination method of satellite measurement and control software provided by the embodiment of the application constructs a baseline judgment vector set by acquiring real-time performance data of different satellites corresponding to different arc segments and calculating a first similarity, selects representative real-time performance data capable of representing the performance of the measurement and control software, and uses the second similarity between the real-time data in the baseline judgment vector set and a satellite-arrow separation point corresponding to the real-time performance data as a target baseline parameter under the condition that the second similarity meets the condition of serving as the target baseline parameter to determine the target baseline. According to the method, the target baseline parameter capable of reflecting the software performance can be obtained by calculating the first similarity and the second similarity according to the data in the measurement and control software, so that the established target baseline can accurately reflect the software performance, a theoretical basis for software upgrading is provided for software designers, and a channel capable of clearly knowing the software performance is provided for users.
In some examples, the real-time performance data is obtained based on established constraint metrics including satellite operation metrics and satellite observation metrics.
Illustratively, the real-time performance data is obtained according to constraint indexes set by measurement and control software, wherein the set indexes comprise satellite operation indexes, and the satellite operation indexes can comprise the highest elevation angle of a satellite, the priority of the satellite, the satellite tracking circle number and the like; satellite observation indexes can comprise the priority of tasks, the requirement of possible conditions or shortest service time, the requirement of special circles, the requirement of task interval time, the measurement and control arc period time and the like.
Specifically, the highest elevation angle of the satellite: because the high elevation angle measurement and control arc section has advantages in the aspects of tracking time length, shielding angle, signal intensity and the like, under the same condition, the measurement and control arc section with the highest elevation angle and the ground station with the highest elevation angle are preferentially selected when measurement and control software is used, the utilization rate is the largest, and the data volume is the largest. Satellite priority: when resource planning is performed, satellites with high priorities are preferentially considered. When the application is carried out for a circle, if the conflict with the satellite with low priority can occupy the measurement and control resources of the satellite with low priority, the resource allocation is carried out on the satellite with low priority. Satellite tracking turns: because of the convention of the long tube requirement of the satellite side, the number of measurement and control circles per day and the requirement of lifting orbit circles of each satellite are different, the satellite tracking circle constraint comprises: total turns tracked daily, number of track-up turns, number of track-down turns, etc. Priority of task: the measurement and control tasks have priority, and the task priority may dynamically change with time and events. For example, when the circle number applied by the user is an emergency measurement and control task, the task needs to be satisfied preferentially, if collision exists, the planning is performed again under the minimum adjustment. Visual conditions or minimum service time requirements: some satellites or tasks have the limitation of the shortest measurement and control time, for example, the data injection remote control task requires that the visible arc section between the satellite in-station elevation angle of 5 DEG and the satellite out-station elevation angle of 5 DEG is not less than 20s. The special circle requirement is as follows: the track control loop preferably selects an arc with at least two stations visible at the same time, following a "master-slave-two ground station" pattern, preferably with subsequent backup arcs. Task interval time requirement: the task interval time constraint represents the relationship of the start and end times of one activity to the start and end times of another activity, where an activity may be a general task or subtask. When the measurement and control center processes the station measurement information through the ground station full duplex transceiving in a transparent mode, the multi-satellite remote control cannot be simultaneously performed, and the interval constraint condition of the measurement and control arc section of the same ground station is more than 3 minutes (the task interval represents the minimum time required by the state switching of the equipment under the condition that the same measurement and control equipment continuously tracks different satellites). The constraint is weak in the measurement and control of the arc period time, and the subsequent circle meeting the condition is selected as much as possible for reducing the working intensity of long-tube operators before 1-8 hours. The circle number meeting the condition before 20-1 times at night is selected as much as possible, namely, the corresponding time period with less human activity is selected as much as possible to carry out measurement and control, so that the interference of environmental factors can be reduced.
In summary, the baseline determination method of the satellite measurement and control software provided by the embodiment of the application enables the obtained target baseline parameter to reflect the performances of the measurement and control software in multiple directions by selecting multiple given constraints, so that the obtained target baseline can better reflect the performances of the target software.
In some examples, determining or adjusting the target baseline parameter by the magnitude of the value of the second similarity includes:
and determining the performance parameter as a target baseline parameter when the value of the second similarity is greater than zero.
As shown in fig. 2, in step S210, a baseline judgment vector set is constructed through a first similarity in different arc segments of different target satellites, in step S220, the time T0 is the time of the target satellite at the satellite-rocket separation point, in step S220, the second similarity is calculated, in step S220, the value of Δf is compared, in step S230, if Δf is greater than 0, S240 is executed to determine the performance parameter as a target baseline parameter, and when Δf is greater than 0, it is indicated that a forward bias occurs after T0 when the satellite is operating normally, and this performance parameter can be taken as the target baseline parameter.
In some examples, determining or adjusting the target baseline parameter by the magnitude of the value of the second similarity includes:
acquiring data acquisition time corresponding to the real-time performance parameter under the condition that the value of the second similarity is smaller than or equal to zero;
acquiring control instruction sending information within a preset time range of the data acquisition time;
and under the condition that a control instruction is sent within the preset time range, determining the performance parameter as a target baseline parameter.
For example, as shown in fig. 2, if Δf is less than or equal to 0 in step S230, it is proved that the performance data is negatively biased, and the reason why the negative bias occurs may be that a new control command is issued in the range around the acquisition time of the data, or that the current performance parameter cannot be used as the baseline parameter, then S250 is executed to determine whether a control command is issued in the preset time range within the acquisition time, and if the control command is issued, the performance parameter is used as the target baseline parameter.
In some examples, the above method further comprises:
and under the condition that no control instruction is sent within the preset time range, adjusting the performance parameter to enable the second similarity to deviate forward.
Illustratively, in step S250, if no control command is issued within a preset time frame, the performance parameter is adjusted, i.e., the baseline parameter is modified, so that the second similarity is shifted forward, and Δf is greater than 0.
In some examples, the above method further comprises:
acquiring data acquisition time corresponding to the real-time performance parameters;
acquiring the subsequent performance data of the target satellite corresponding to the real-time performance data in the same arc section in the subsequent operation period under the condition that the data acquisition time is smaller than the shortest frame data acquisition time;
and calculating the second similarity again according to the subsequent performance data and the corresponding separation point performance parameters so as to determine or adjust the target baseline parameters again through the value of the new second similarity.
For example, after the second similarity determination of a vector is performed, it is further required to determine the acquisition time of the performance data, that is, step S270 is performed, in this process, it is required to determine whether the data acquisition time is less than the shortest acquisition time of the frame data, if the data acquisition time is less than the shortest acquisition time, which indicates that the performance data does not receive a complete frame, and the performance data cannot be used to determine the baseline parameter, step S290 is performed to obtain the subsequent performance data of the compact satellite corresponding to the implementation performance data in the same arc segment in the subsequent operation period, recalculate Δf, and perform the above steps, and determine whether Δf can satisfy the condition as the baseline parameter again.
In some examples, the real-time performance data is determined to be a baseline parameter if the data acquisition time is greater than or equal to a shortest acquisition time.
Illustratively, step S270 is performed, where it is determined whether the data acquisition time is less than the shortest frame data acquisition time, and if the data acquisition time is greater than or equal to the shortest acquisition time, it is indicated that the performance data has received a complete frame, and the real-time performance data may be determined as the baseline parameter.
Referring to fig. 4, an embodiment of a baseline determining device of satellite measurement and control software in an embodiment of the present application may include:
a first calculating unit 21, configured to calculate a first similarity between real-time performance data of each target satellite in different arcs;
a construction unit 22, configured to select a preset number of real-time performance data with a higher first similarity to construct a baseline judgment vector set;
a second calculating unit 23, configured to calculate a second similarity according to each real-time performance data in the baseline determination vector set and a corresponding separation point performance parameter, where the separation point performance parameter is a performance parameter corresponding to a satellite-rocket separation point of the target satellite;
an adjusting unit 24, configured to determine or adjust a target baseline parameter according to the magnitude of the second similarity;
a determining unit 25 for determining a target baseline according to the target baseline parameter.
As shown in fig. 5, the embodiment of the present application further provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and capable of running on the processor, where the processor 320 implements any one of the steps of the method for determining the baseline of the satellite measurement and control software when the processor 320 executes the computer program 311.
Since the electronic device described in this embodiment is a device used for implementing the baseline determination device of the satellite measurement and control software in this embodiment, based on the method described in this embodiment, those skilled in the art can understand the specific implementation manner of the electronic device and various modifications thereof, so how to implement the method in this embodiment for this electronic device will not be described in detail herein, and only those devices used by those skilled in the art to implement the method in this embodiment are within the scope of protection intended by this application.
In a specific implementation, the computer program 311 may implement any of the embodiments corresponding to fig. 1 when executed by a processor.
In the foregoing embodiments, the descriptions of the embodiments are focused on, and for those portions of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Embodiments of the present application also provide a computer program product comprising computer software instructions that, when run on a processing device, cause the processing device to perform a flow of baseline determination of satellite measurement and control software in corresponding embodiments, comprising:
calculating first similarity between real-time performance data of each target satellite in different arc segments;
selecting a preset number of real-time performance data with higher first similarity to construct a baseline judgment vector set;
calculating a second similarity according to each real-time performance data in the baseline judgment vector set and the corresponding separation point performance parameters, wherein the separation point performance parameters are the performance parameters corresponding to the target satellite at satellite-rocket separation points;
determining or adjusting a target baseline parameter according to the value of the second similarity;
and determining a target baseline according to the target baseline parameters.
In one possible embodiment, the real-time performance data is obtained based on predetermined constraint criteria including a satellite operation criteria and a satellite observation criteria.
In a possible embodiment, the determining or adjusting the target baseline parameter according to the magnitude of the second similarity includes:
and determining the performance parameter as a target baseline parameter when the value of the second similarity is greater than zero.
In a possible embodiment, the determining or adjusting the target baseline parameter according to the magnitude of the second similarity includes:
acquiring data acquisition time corresponding to the real-time performance parameter under the condition that the value of the second similarity is smaller than or equal to zero;
acquiring control instruction sending information within a preset time range of the data acquisition time;
and under the condition that a control instruction is sent within the preset time range, determining the performance parameter as a target baseline parameter.
In a possible embodiment, the method further comprises:
and under the condition that no control instruction is sent within the preset time range, adjusting the performance parameter to enable the second similarity to deviate forward.
In a possible embodiment, the method further comprises:
acquiring data acquisition time corresponding to the real-time performance parameters;
acquiring the subsequent performance data of the target satellite corresponding to the real-time performance data in the same arc section in the subsequent operation period under the condition that the data acquisition time is smaller than the shortest frame data acquisition time;
and calculating the second similarity again according to the subsequent performance data and the corresponding separation point performance parameters so as to determine or adjust the target baseline parameters again through the value of the new second similarity.
In one possible embodiment, the real-time performance data is determined as a baseline parameter if the data acquisition time is greater than or equal to a minimum acquisition time.
The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions in accordance with embodiments of the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). Computer readable storage media can be any available media that can be stored by a computer or data storage devices such as servers, data centers, etc. that contain an integration of one or more available media. Usable media may be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid State Disks (SSDs)), among others.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements is merely a logical functional division, and there may be additional divisions of actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions to cause 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 U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above embodiments are only for illustrating the technical solution of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (10)
1. The baseline determination method of the satellite measurement and control software is characterized by comprising the following steps of:
calculating first similarity between real-time performance data of each target satellite in different arc segments;
selecting a preset number of real-time performance data with higher first similarity to construct a baseline judgment vector set;
calculating a second similarity according to each real-time performance data in the baseline judgment vector set and the corresponding separation point performance parameters, wherein the separation point performance parameters are the performance parameters corresponding to the target satellite at satellite-rocket separation points;
determining or adjusting a target baseline parameter by the magnitude of the value of the second similarity;
and determining a target baseline according to the target baseline parameters.
2. The method of claim 1, wherein the real-time performance data is obtained based on a given constraint index, the given constraint index comprising a satellite operation index and a satellite observation index.
3. The method of claim 1, wherein said determining or adjusting the target baseline parameter by magnitude of the value of the second similarity comprises:
and determining the performance parameter as a target baseline parameter in the case that the value of the second similarity is greater than zero.
4. The method of claim 1, wherein said determining or adjusting the target baseline parameter by magnitude of the value of the second similarity comprises:
acquiring data acquisition time corresponding to the real-time performance parameter under the condition that the value of the second similarity is smaller than or equal to zero;
acquiring control instruction sending information within a preset time range of the data acquisition time;
and under the condition that a control instruction is sent out within the preset time range, determining the performance parameter as a target baseline parameter.
5. The method as recited in claim 4, further comprising:
and under the condition that no control instruction is sent within the preset time range, adjusting the performance parameter to enable the second similarity to shift forward.
6. The method as recited in claim 1, further comprising:
acquiring data acquisition time corresponding to the real-time performance parameters;
acquiring the subsequent performance data of the target satellite corresponding to the real-time performance data in the same arc section in the subsequent operation period under the condition that the data acquisition time is smaller than the shortest frame data acquisition time;
and calculating the second similarity again according to the subsequent performance data and the corresponding separation point performance parameters so as to determine or adjust the target baseline parameters again through the value of the new second similarity.
7. The method as recited in claim 6, further comprising:
and determining the real-time performance data as a baseline parameter when the data acquisition time is greater than or equal to the shortest acquisition time.
8. A baseline determination device for satellite measurement and control software, comprising:
the first calculation unit is used for calculating first similarity between the real-time performance data of each target satellite in different arc sections;
the construction unit is used for selecting a preset number of real-time performance data with higher first similarity to construct a baseline judgment vector set;
the second calculation unit is used for calculating a second similarity according to each real-time performance data in the baseline judgment vector set and the corresponding separation point performance parameters, wherein the separation point performance parameters are the performance parameters corresponding to the target satellite at the satellite and rocket separation points;
the adjusting unit is used for determining or adjusting a target baseline parameter according to the value of the second similarity;
and the determining unit is used for determining a target baseline according to the target baseline parameter.
9. An electronic device, comprising: memory and processor, characterized in that the processor is adapted to carry out the steps of the baseline determination method of satellite measurement and control software according to any one of claims 1-7 when executing a computer program stored in the memory.
10. A computer-readable storage medium having stored thereon a computer program, characterized by: the computer program, when executed by a processor, implements a baseline determination method of satellite measurement and control software according to any one of claims 1-7.
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| CN116961738A (en) * | 2023-09-21 | 2023-10-27 | 中国西安卫星测控中心 | Off-site incomplete backup method for key tracking arc section of aerospace measurement and control network |
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| CN116961738A (en) * | 2023-09-21 | 2023-10-27 | 中国西安卫星测控中心 | Off-site incomplete backup method for key tracking arc section of aerospace measurement and control network |
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