CN116011889A - Multi-satellite measurement and control plan efficiency evaluation method, system and device - Google Patents
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Abstract
The invention provides a multi-satellite measurement and control plan efficiency evaluation method, a system and a device, which relate to the technical field of aerospace measurement and control, wherein the method comprises the following steps: constructing a satellite measurement and control plan efficiency evaluation index system; establishing a single measurement and control resource utilization evaluation index and a whole system resource utilization evaluation index; establishing a receiving service condition index and a task satisfaction index; and evaluating and calculating elements and weights in the single measurement and control resource utilization evaluation index, the whole system resource utilization evaluation index, the receiving service condition index and the task satisfaction index by a system analysis method to obtain a performance comparison or sequencing result of the aerospace measurement and control alternative scheme. The comprehensive efficiency evaluation system capable of reflecting the satellite measurement and control planning capacity is constructed, and the system analysis method is used for carrying out quick solution, so that the satellite measurement and control planning capacity is effectively, comprehensively and systematically subjected to automatic efficiency evaluation, and further measurement and control resources and service quality can be subjected to targeted optimization adjustment and improvement.
Description
Technical Field
The invention relates to the technical field of aerospace measurement and control, in particular to a multi-satellite measurement and control plan efficiency evaluation method, system and device.
Background
At present, with the rapid increase of the number of on-orbit spacecrafts and the continuous diversification of ground measurement and control equipment, how to effectively evaluate the measurement and control plans of a plurality of satellites becomes an increasingly complex system engineering problem, and has important significance for guiding measurement and control resource scheduling.
For definition of application efficiency, there is no unified standard at home and abroad, different organizations have proposed different definitions, and the system efficiency specified in the national standard refers to the degree to which the system meets a set of specific task requirements under specified conditions and for specified time. It follows that system performance is a relative, quantitative value that is related to availability, task success, and inherent capabilities of the system, requiring consideration of a particular use environment and a particular task objective. The satellite measurement and control plan performance evaluation is the process of designing, analyzing, evaluating and optimizing the system performance of resource scheduling.
The performance evaluation method related to the navigation measurement and control system is mainly divided into two parts, namely, evaluation of the running state of the measurement and control network and application performance evaluation of the measurement and control system. The operation state evaluation of the test operation control network is mainly based on the evaluation of the equipment operation state, the resource operation state, the network operation state and other modes of various factors such as automatic test, information acquisition, task execution and the like. The application efficiency evaluation of the measurement and control system evaluates the application efficiency of the control network, including the application capabilities of satellite measurement and control and data receiving capability, resource conflict rate, resource balance and the like.
The principle that the index system is established is determined when the primary work of researching the running state of the measurement and control resource and the application efficiency of the system is performed, the requirements of scientificity, practicability, integrity, accessibility, layering property, accuracy and the like of the index system are considered, the main functions of the measurement and control system and the evaluation criteria of a management and control network top layer planning scheme are surrounded, the composition and the characteristics of the management and control system, the definition of management and control tasks, the connotation and extension of concepts, the task constraint and the resource constraint are deeply researched by combining with the national engineering practice, the main functions and the main influencing factors of the management and control system are analyzed, the indexes concerned by different composition objects of the management and control system are researched, the evaluation indexes concerned by users are proposed from different angles, and finally a scientific and complete management and control efficiency evaluation index system is formed.
For this reason, the national aviation and aerospace agency applies 25 evaluation indexes in the evaluation of ground measurement and control resources, but serious repetition phenomenon exists among the evaluation indexes, and a complete index system is not formed. In an existing satellite scheduling system, the space measurement and control network provides a bottleneck resource evaluation method based on resource dependence, and improves the operation efficiency of a resource scheduling algorithm of the space measurement and control network. The European space administration firstly determines the priority of each task, takes the total priority of the scheduled tasks as the only considered evaluation index when evaluating the satellite measurement and control plan result, and then provides two other evaluation indexes: task completion rate and resource utilization rate. The scholars in China establish an evaluation index system of the satellite ground station equipment configuration scheme from five aspects of the satisfaction degree of satellite service, the utilization rate of ground station equipment, the service guarantee degree of important satellite arcs, the overall system viability and the scheme robustness.
However, the performance evaluation for the satellite measurement and control plan still stays on the level of manual statistics data and isolated index evaluation, the evaluation process usually only calculates for a single index, and the scattered indexes are compared on one side and difficult to comprehensively reflect the capability of the satellite measurement and control plan, so that an effective comprehensive performance evaluation system and method are lacked. Meanwhile, when the ground measurement and control resources provide measurement and control services for satellite users in all directions, comprehensive evaluation standards for the service quality are lacking, and the capability of carrying out targeted optimization adjustment and service quality improvement on the measurement and control resources is restricted. Therefore, there is an urgent need to construct a scientific and efficient system and method for comprehensive performance evaluation of satellite measurement and control plans.
Disclosure of Invention
The invention aims to provide a multi-satellite measurement and control plan performance evaluation method, system and device, which are used for solving at least one of the technical problems in the prior art.
In order to solve the above technical problems, the method for evaluating performance of a multi-satellite measurement and control plan provided by the present invention includes:
step 2, establishing a single measurement and control resource utilization evaluation index and an overall system resource utilization evaluation index;
Step 3, establishing a service condition receiving index and a task satisfaction index;
and 4, evaluating and calculating elements and weights in the single measurement and control resource utilization evaluation index, the whole system resource utilization evaluation index, the receiving service condition index and the task satisfaction index by a system analysis method to obtain a performance comparison or sequencing result of the aerospace measurement and control alternative scheme.
By the method, a comprehensive efficiency evaluation system capable of reflecting the satellite measurement and control planning capacity is constructed, so that the satellite measurement and control planning capacity can be effectively, comprehensively and systematically evaluated.
In one possible embodiment, the system variables of the satellite measurement and control plan performance evaluation index system comprise a measurement and control resource set, a spacecraft set, a visible time window set and a visible time window length.
In a possible embodiment, the measurement and control resource set includes land-based measurement and control resources, space-based measurement and control resources, other maneuvering measurement and control resources, and the like, which can be specifically expressed as:
wherein ,
and the number of measurement and control resources is represented.
In a possible embodiment, the spacecraft assembly includes high-orbit satellites, medium-orbit satellites and low-orbit satellites, which may be expressed specifically as:
wherein ,
representing the number of satellites.
In one possible embodiment, the set of visible time windows may be expressed specifically as:
In one possible embodiment, the visible time window length may be expressed specifically as:
In a possible embodiment, the single measurement and control resource utilization evaluation index includes a first
Utilization rate of individual measurement and control resources->
Specifically, the method can be expressed as:
wherein ,
indicate->
Satellite->
Measurement and control time of each measurement and control task; />
Indicate->
The satellite is at->
A measurement and control task set performed on each measurement and control resource;
the said
The method is used for reflecting the utilization condition of each measurement and control resource, and the higher the index value is, the more fully the resource is utilized. The index can be used as a reference index for evaluating the optimizing degree of the measurement and control resource allocation by a measurement and control network manager. For example, when a certain measurement and control resourceWhen the source utilization index value is about 75%, it is generally indicated that there may be an insufficient set resource amount or uneven resource utilization at the location where the measurement and control resource is located.
In a possible embodiment, the single measurement and control resource utilization evaluation index further includes a weighted average utilization rate of all measurement and control resources
Specifically, the method can be expressed as:
wherein ,
indicate->
Priority of each measurement and control resource;
the said
The method is used for reflecting the resource utilization condition of the whole measurement and control system, and the higher the index value is, the better the resource utilization condition is. For example, when the weighted average usage rate of all measurement and control resources exceeds 75%, it is marked that the comprehensive service capability of the measurement and control system resources is utilized to a greater extent for the current simulation scene, and new measurement and control resources may need to be added and supplemented.
In other embodiments, the index can be constructed according to parameters such as measurement and control times, so as to achieve the same engineering significance and purpose.
In a possible embodiment, the overall system resource utilization evaluation index includes measurement and control of overall utilization efficiency of resources
Specifically, the method can be expressed as:
wherein ,
the satisfaction degree of all satellite weighting measurement and control tasks of a scene is represented;
the said
The index value is used for reflecting the resource utilization efficiency of the measurement and control system, and the higher the index value is, the higher the resource utilization efficiency is.
In a possible embodiment, the service condition receiving index refers to an evaluation index of a spacecraft for receiving measurement and control service, and can be generally used as a satellite user side, and the index is proposed to a measurement and control network management side, and comprises an average daily ascending measurement and control cycle time of each satellite, an average daily descending measurement and control cycle time of each satellite, an average each measurement and control time of each satellite, an average daily measurement and control station number of each satellite, a maximum measurement and control interval time of each satellite, and the like; the task satisfaction index is an index for carrying out overall evaluation on the measurement and control requirement satisfaction condition of a spacecraft user according to the comparison between the service receiving condition and the measurement and control task requirement condition, and comprises the satisfaction degree of each satellite measurement and control task, the satisfaction degree of all satellite weighted measurement and control tasks, the satisfaction degree of each priority measurement and control task and the like.
In one possible embodiment, each satellite averages the number of daily up-track measurement and control cycles
Specifically, the method can be expressed as:
wherein ,
indicate->
Total up-track measurement and control times of each satellite in simulation time, < >>
Indicate->
The number of days each satellite was operated within the simulation time.
In one possible embodiment, each satellite averages the number of times of daily orbital transfer measurements
Can be expressed as:
wherein ,
indicate->
And the total orbit reduction measurement and control turns of each satellite are realized in the simulation time.
In one possible embodiment, each satellite averages each measurement and control time
Can be expressed as:
wherein ,
indicate->
Satellite->
Obtaining the time of measurement and control service for the second time; />
Indicate->
The satellites receive the total times of measurement and control services in simulation timeA number; />
The said
The method is used for reflecting the effect of each measurement and control on the whole, and generally, the longer the measurement and control time is, the better the measurement and control effect is, and the better the completion condition of the measurement and control task is.
In one possible embodiment, each satellite averages the number of stations measured and controlled daily
Specifically, the method can be expressed as:
wherein ,
indicate->
The number of different measurement and control stations occupied by the satellites in the simulation time; />
Indicate->
The number of days the satellites are operated in the simulation time;
The said
The method is used for measuring the diversity of measurement and control resources; the more abundant the measurement and control resources, the more convenient the measurement results are for mutual authentication or comparison, and the lower the risk of failure of the measurement and control.
In one possible embodiment, the maximum and minimum measurement and control intervals for each satellite are respectively expressed as:
wherein ,
indicate->
Satellite->
Secondary measurement and control and->
Time interval between secondary measurements;
the said
Said->
The method is used for marking the upper limit and the lower limit of the measurement and control interval, and the interval between two measurement and control times of the same spacecraft cannot be too small, so that data repetition is caused; nor too large to cause anomalies in the spacecraft.
In one possible embodiment, each satellite observes and controls task satisfaction
Specifically, the method can be expressed as:
wherein ,
indicate->
No. 4 of the satellites>
Actual completion conditions of the individual measurement and control task demands (the actual completion conditions of various indexes in the measurement and control demands are comprehensively weighted for measurement); />
Indicate->
Satellite->
Target values of the individual measurement and control task demands; />
Indicate->
Satellite->
Priority of each measurement and control task requirement; />
Indicate->
A set of measurement and control task requirements for the individual satellites; />
Indicate->
No. H of individual requirements>
The individual specific measurement and control requirement sub-items occupy the weight of the whole specific measurement and control requirement; 
Indicate->
No. H of individual requirements>
The satisfaction degree of each specific measurement and control requirement sub-item:
In one possible embodiment, all satellite weighted measurement and control tasks are satisfied
Tool for cleaning and cleaningThe volume may be expressed as:
wherein ,
indicate->
Priority of the individual satellites;
the said
The method is used for reflecting the effectiveness and the correctness of the scheduling method on the whole, and is an index focused by a measurement and control network manager.
In one possible embodiment, each priority observes and controls task satisfaction
Specifically, the method can be expressed as:
wherein ,
indicate->
No. 4 of the satellites>
Actual completion conditions of the individual measurement and control task demands (the actual completion conditions of various indexes in the measurement and control demands are comprehensively weighted for measurement); />
Indicate->
Satellite->
Target values of the individual measurement and control task demands; / >
Indicate->
Priority of the individual satellites; />
Indicate->
A priority; />
Indicating all satellites->
And (5) a set of priority measurement and control task requirements.
In one possible embodiment, the system analysis method is a hierarchical analysis method.
In a possible embodiment, the step 4 includes:
step 41, analyzing and evaluating the relation among the single measurement and control resource utilization evaluation index, the whole system resource utilization evaluation index, the receiving service condition index and the task satisfaction index element, and establishing a hierarchical structure;
step 42, comparing the elements in the same layer in pairs according to the importance degree of a certain criterion in the previous layer to construct a judgment matrix;
step 43, calculating the relative weight of the compared element to the criterion based on the judgment matrix, and carrying out consistency test;
and step 44, calculating the synthetic weight of each element in each layer on the total target of the comprehensive performance of the resource scheduling of the aerospace measurement and control network, and comparing or sequencing each aerospace measurement and control alternative scheme according to the performance.
In a possible embodiment, the determining matrix in step 42 includes: a performance layer-capability layer judgment matrix and a capability layer-index layer judgment matrix; the performance layer-capability layer judgment matrix is used for calculating the relative weight of each index of the capability layer; the capacity layer-index layer judgment matrix is used for calculating the relative weight of each index of the index layer; the two judgment matrices have the same form and can be specifically expressed as:
wherein ,
indication index->
Relative to index->
Is a relative weight of (2); />
Representing the number of rows and columns of the matrix; />
In a possible embodiment, the consistency check in step 43 is used to estimate the deviation degree of the consistency of the judgment matrix, so as to estimate the consistency degree of the comparison or the sequencing result, and specifically includes:
step 431, calculating the consistency index
Specifically, the method can be expressed as:
wherein ,
representing the maximum eigenvalue of the judgment matrix;
step 432, searching to obtain a corresponding average random consistency index based on the average random consistency index table
；
The average random consistency index table is obtained by calculating n (n-1)/2 elements in the upper or lower triangular matrix after the n-order matrix is filled by random sampling in 9 scales
The average values obtained after several experiments are shown in the following table:
step 433, calculate the consistency ratio
Specifically, the method can be expressed as:
when (when)
When the consistency of the judgment matrix is considered acceptable, otherwise, the judgment matrix is appropriately corrected; />
The smaller the better the consistency.
Through the consistency test, the reliability and the reliability of the index weight are improved, and the comparison error of a complex system is reduced as much as possible.
Based on the same inventive thought, the invention also provides a multi-satellite measurement and control plan efficiency evaluation system, which comprises: the device comprises a data acquisition module, a data processing module and a result generation module;
the data acquisition module is used for acquiring data of a measurement and control resource set, a spacecraft set, a visible time window set and a visible time window length;
the data processing module comprises an index unit and an analysis unit;
the index unit is used for storing a satellite measurement and control plan efficiency evaluation index system, a single measurement and control resource utilization evaluation index, an overall system resource utilization evaluation index, a receiving service condition index and a task satisfaction index;
the analysis unit is used for calling a satellite measurement and control plan efficiency evaluation index system, a single measurement and control resource utilization evaluation index, an overall system resource utilization evaluation index, a receiving service condition index and a task satisfaction index based on a measurement and control resource set, a spacecraft set, a visible time window set and a visible time window length, and performing evaluation calculation on elements and weights in the indexes through a system analysis method to obtain a space measurement and control alternative scheme efficiency comparison or sequencing result;
The result generation module is used for externally issuing the result of performance comparison or sequencing of the aerospace measurement and control alternative scheme.
The invention also provides a multi-satellite measurement and control plan efficiency evaluation device based on the same thought, which comprises a processor, a memory and a bus, wherein the memory stores instructions and data which can be read by the processor; the processor is used for calling the instructions and the data in the memory to execute the multi-satellite measurement and control plan performance evaluation method according to any one of the above; the bus connects the functional components to transfer information therebetween.
By adopting the technical scheme, the invention has the following beneficial effects:
according to the multi-satellite measurement and control plan efficiency evaluation method provided by the invention, a comprehensive efficiency evaluation system capable of reflecting the satellite measurement and control plan capacity is constructed, and the system analysis method is used for carrying out quick solution, so that the satellite measurement and control plan capacity can be effectively, comprehensively and systematically subjected to automatic efficiency evaluation, and further measurement and control resources and service quality can be subjected to targeted optimization adjustment and improvement.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings which are required in the description of the embodiments or the prior art will be briefly described, it being obvious that the drawings in the description below are some embodiments of the invention and that other drawings may be obtained from these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a multi-satellite measurement and control plan performance evaluation method according to an embodiment of the present invention;
FIG. 2 is a block diagram of a performance evaluation index system for a satellite measurement and control plan according to an embodiment of the present invention;
FIG. 3 is a diagram of a system for evaluating performance of a multi-satellite measurement and control scheme according to an embodiment of the present invention;
FIG. 4 is a level 1 whitening weight graph provided by an embodiment of the present invention;
FIG. 5 is a level 2 whitening weight graph provided by an embodiment of the present invention;
FIG. 6 is a level 3 whitening weight graph provided by an embodiment of the present invention;
fig. 7 is a 4 th level whitening weight function chart provided in an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made apparent and fully in view of the accompanying drawings, in which some, but not all embodiments of the invention are shown. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be noted that the directions or positional relationships indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings, are merely for convenience of describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The invention is further illustrated with reference to specific embodiments.
As shown in fig. 1, the multi-satellite measurement and control plan performance evaluation method provided by the embodiment of the invention includes:
step 2, establishing a single measurement and control resource utilization evaluation index and an overall system resource utilization evaluation index;
step 3, establishing a service condition receiving index and a task satisfaction index;
and 4, evaluating and calculating elements and weights in the single measurement and control resource utilization evaluation index, the whole system resource utilization evaluation index, the receiving service condition index and the task satisfaction index by a system analysis method to obtain a performance comparison or sequencing result of the aerospace measurement and control alternative scheme.
By the method, a comprehensive efficiency evaluation system capable of reflecting the satellite measurement and control planning capacity is constructed, so that the satellite measurement and control planning capacity can be effectively, comprehensively and systematically evaluated.
Further, the satellite measurement and control plan performance evaluation index system comprises a measurement and control resource set, a spacecraft set, a visible time window set and a visible time window length.
Further, the measurement and control resource set includes land-based measurement and control resources, space-based measurement and control resources, other maneuvering measurement and control resources, and the like, and can be specifically expressed as:
wherein ,
and the number of measurement and control resources is represented.
Further, the spacecraft set includes a high-orbit satellite, a medium-orbit satellite and a low-orbit satellite, which can be specifically expressed as:
wherein ,
representing the number of satellites.
Further, the set of visible time windows may be expressed in particular as:
Preferably, the visible time window length can be expressed specifically as:
Further, the single measurement and control resource utilization evaluation index comprises a first
Utilization rate of individual measurement and control resources->
Specifically, the method can be expressed as:
wherein ,
indicate->
Satellite->
Measurement and control time of each measurement and control task; />
Indicate->
The satellite is at->
A measurement and control task set performed on each measurement and control resource;
the said
The method is used for reflecting the utilization condition of each measurement and control resource, and the higher the index value is, the more fully the resource is utilized. The index can be used as a reference index for evaluating the optimizing degree of the measurement and control resource allocation by a measurement and control network manager. For example, when a certain measurement and control resource utilization index value is about 75%, it is generally indicated that there may be an insufficient set number of resources or uneven resource utilization at the location of the measurement and control resource.
Further, the single measurement and control resource utilization evaluation index further comprises a weighted average utilization rate of all measurement and control resources
Specifically, the method can be expressed as:
wherein ,
indicate->
Priority of each measurement and control resource;
the said
The method is used for reflecting the resource utilization condition of the whole measurement and control system, and the higher the index value is, the better the resource utilization condition is. For example, when the weighted average usage rate of all measurement and control resources exceeds 75%, it is marked that the comprehensive service capability of the measurement and control system resources is utilized to a greater extent for the current simulation scene, and new measurement and control resources may need to be added and supplemented.
In other embodiments, the index can be constructed according to parameters such as measurement and control times, so as to achieve the same engineering significance and purpose.
Further, the overall system resource utilization evaluation index comprises measurement and control of the overall utilization efficiency of the resource
Specifically, the method can be expressed as:
wherein ,
the satisfaction degree of all satellite weighting measurement and control tasks of a scene is represented;
the said
The index value is used for reflecting the resource utilization efficiency of the measurement and control system, and the higher the index value is, the higher the resource utilization efficiency is.
Further, the service condition receiving index refers to an evaluation index of the spacecraft for receiving measurement and control service, and can be generally used as a satellite user side and is proposed to a measurement and control network management side, and comprises an average daily ascending measurement and control cycle time of each satellite, an average daily descending measurement and control cycle time of each satellite, an average each measurement and control time of each satellite, an average daily measurement and control station number of each satellite, a maximum measurement and control interval time and a minimum measurement and control interval time of each satellite and the like; the task satisfaction index is an index for carrying out overall evaluation on the spacecraft user measurement and control requirement satisfaction condition according to the comparison of the service receiving condition and the measurement and control task requirement condition, and comprises the satellite measurement and control task satisfaction degree, all satellite weighted measurement and control task satisfaction degree, priority measurement and control task satisfaction degree and the like, as shown in fig. 2.
Further, each satellite averagely carries out track lifting measurement and control for a circle every day
Specifically, the method can be expressed as:
wherein ,
indicate->
Total up-track measurement and control times of each satellite in simulation time, < >>
Indicate->
The number of days each satellite was operated within the simulation time.
Further, each satellite averagely measures and controls the circle number every day
Can be expressed as:
wherein ,
indicate->
And the total orbit reduction measurement and control turns of each satellite are realized in the simulation time.
Further, each satellite averages each measurement and control time
Can be expressed as:
wherein ,
indicate->
Satellite->
Obtaining the time of measurement and control service for the second time; />
Indicate->
The satellite receives the total times of measurement and control services in the simulation time;
the said
The method is used for reflecting the effect of each measurement and control on the whole, and generally, the longer the measurement and control time is, the better the measurement and control effect is, and the better the completion condition of the measurement and control task is.
Further, each satellite averages the number of measurement and control stations per day
Specifically, the method can be expressed as:
wherein ,
indicate->
Non-occupation of individual satellites in simulation timeThe number of the same measurement and control stations; />
Indicate->
The number of days the satellites are operated in the simulation time;
the said
The method is used for measuring the diversity of measurement and control resources; the more abundant the measurement and control resources, the more convenient the measurement results are for mutual authentication or comparison, and the lower the risk of failure of the measurement and control.
Further, the maximum and minimum measurement and control intervals of each satellite are respectively expressed as:
wherein ,
indicate->
Satellite->
Secondary measurement and control and->
Time interval between secondary measurements;
the said
Said->
For marking the upper and lower limits of measurement and control intervals, the interval between two measurements and control of the same spacecraft can not be too small, thereby causing data repetitionThe method comprises the steps of carrying out a first treatment on the surface of the Nor too large to cause anomalies in the spacecraft.
Further, each satellite measures and controls the task satisfaction
Specifically, the method can be expressed as:
wherein ,
indicate->
No. 4 of the satellites>
Actual completion conditions of the individual measurement and control task demands (the actual completion conditions of various indexes in the measurement and control demands are comprehensively weighted for measurement); />
Indicate->
Satellite->
Target values of the individual measurement and control task demands; />
Indicate->
Satellite->
Priority of each measurement and control task requirement; />
Indicate->
A set of measurement and control task requirements for the individual satellites; />
Indicate->
No. H of individual requirements>
The individual specific measurement and control requirement sub-items occupy the weight of the whole specific measurement and control requirement;
indicate->
No. H of individual requirements>
The satisfaction degree of each specific measurement and control requirement sub-item:
Further, all satellite weighted measurement and control tasks satisfaction
Specifically, the method can be expressed as:
wherein ,
indicate->
Priority of the individual satellites;
the said
The method is used for reflecting the effectiveness and the correctness of the scheduling method on the whole, and is an index focused by a measurement and control network manager.
Further, each priority measures and controls the task satisfaction
Specifically, the method can be expressed as:
wherein ,
indicate->
No. 4 of the satellites>
Actual completion conditions of the individual measurement and control task demands (the actual completion conditions of various indexes in the measurement and control demands are comprehensively weighted for measurement); />
Indicate->
Satellite->
Target values of the individual measurement and control task demands; />
Indicate->
Priority of the individual satellites; />
Indicate->
A priority; />
Indicating all satellites->
A set of priority measurement and control task requirements;
further, the system analysis method is an analytic hierarchy process which is a system analysis method proposed by american operators in the middle of 70 s of the 20 world and is mainly used for solving a complex problem that is difficult to analyze by a quantitative method entirely. The analytic hierarchy process comprehensively utilizes qualitative and quantitative analysis to simulate the decision thinking process of a person, analyzes a multi-factor complex system, particularly a system which is difficult to quantitatively describe, and has the characteristics of clear thought, simple and convenient method, wide application range, strong systematicness and the like;
The core idea of the analytic hierarchy process is to decompose the complex problem into various component factors, group the factors according to the dominant relationship, thereby forming an orderly hierarchical structure, determine the relative importance of the factors in the hierarchy by comparing every two, and then determine the total order of the relative importance of the decision factors by integrating the judgment of people, thus reflecting the characteristics of analysis, judgment, synthesis and the like of people in decision thinking;
the analytic hierarchy process provides a measure mode for influencing the target factors from a decision angle. One of the measures is a prescriptive scale, is used for measuring the relative importance of two elements under a certain criterion, belongs to a scale, for example, a 1-9 scale method, and concretely refers to a scale value of an integer between 1 and 9 and the reciprocal thereof, the measuring method is a pairwise comparison judgment, and the result is expressed as a positive reciprocal matrix, as shown in the following table:
and forming a judgment matrix by the scaled results, and checking the consistency. The consistency includes substantial consistency and order consistency. The substantial consistency, for example: two times as many as one, and four times as many as one. The order consistency, for example: the first and second are important, and the second and third are important. The basic consistency and the order consistency are called strong consistency and weak consistency, respectively.
Further, the step 4 includes:
step 41, analyzing and evaluating the relation among the single measurement and control resource utilization evaluation index, the whole system resource utilization evaluation index, the receiving service condition index and the task satisfaction index element, and establishing a hierarchical structure;
step 42, comparing the elements in the same layer in pairs according to the importance degree of a certain criterion in the previous layer to construct a judgment matrix;
step 43, calculating the relative weight of the compared element to the criterion based on the judgment matrix, and carrying out consistency test;
and step 44, calculating the synthetic weight of each element in each layer on the total target of the comprehensive performance of the resource scheduling of the aerospace measurement and control network, and comparing or sequencing each aerospace measurement and control alternative scheme according to the performance.
Preferably, the judging matrix in the step 42 includes: a performance layer-capability layer judgment matrix and a capability layer-index layer judgment matrix; the performance layer-capability layer judgment matrix is used for calculating the relative weight of each index of the capability layer; the capacity layer-index layer judgment matrix is used for calculating the relative weight of each index of the index layer; the two judgment matrices have the same form and can be specifically expressed as:
wherein ,
indication index->
Relative to index->
Is a relative weight of (2); />
Representing the number of rows and columns of the matrix;
preferably, the consistency check in step 43 is used for estimating the deviation degree of the consistency of the judgment matrix, so as to estimate the consistency degree of the comparison or sequencing result, and specifically includes:
step 431, calculating the consistency index
Specifically, the method can be expressed as:
wherein ,
representing the maximum eigenvalue of the judgment matrix;
step 432, searching to obtain a corresponding average random consistency index based on the average random consistency index table
；
The average random consistency index table is obtained by calculating n (n-1)/2 elements in the upper or lower triangular matrix after the n-order matrix is filled by random sampling in 9 scales
The average values obtained after several experiments are shown in the following table:
step 433, calculate the consistency ratio
Specifically, the method can be expressed as:
when (when)
When the consistency of the judgment matrix is considered acceptable, otherwise, the judgment matrix is appropriately corrected; />
The smaller, oneThe better the inducibility.
Through the consistency test, the reliability and the reliability of the index weight are improved, and the comparison error of a complex system is reduced as much as possible.
On the other hand, as shown in fig. 3, the embodiment of the present invention further provides a multi-satellite measurement and control plan performance evaluation system, including: the device comprises a data acquisition module, a data processing module and a result generation module;
the data acquisition module is used for acquiring data of a measurement and control resource set, a spacecraft set, a visible time window set and a visible time window length;
the data processing module comprises an index unit and an analysis unit;
the index unit is used for storing a satellite measurement and control plan efficiency evaluation index system, a single measurement and control resource utilization evaluation index, an overall system resource utilization evaluation index, a receiving service condition index and a task satisfaction index;
the analysis unit is used for calling a satellite measurement and control plan efficiency evaluation index system, a single measurement and control resource utilization evaluation index, an overall system resource utilization evaluation index, a receiving service condition index and a task satisfaction index based on a measurement and control resource set, a spacecraft set, a visible time window set and a visible time window length, and performing evaluation calculation on elements and weights in the indexes through a system analysis method to obtain a space measurement and control alternative scheme efficiency comparison or sequencing result;
The result generation module is used for externally issuing the result of performance comparison or sequencing of the aerospace measurement and control alternative scheme.
In yet another aspect, an embodiment of the present invention further provides a multi-satellite measurement and control plan performance evaluation apparatus, including a processor, a memory, and a bus, where the memory stores instructions and data readable by the processor; the processor is used for calling the instructions and the data in the memory to execute the multi-satellite measurement and control plan performance evaluation method according to any one of the above; the bus connects the functional components to transfer information therebetween.
In yet another embodiment, the present solution may be implemented by means of an apparatus, which may include corresponding modules performing each or several steps of the above-described embodiments. A module may be one or more hardware modules specifically configured to perform the respective steps, or be implemented by a processor configured to perform the respective steps, or be stored within a computer-readable medium for implementation by a processor, or be implemented by some combination.
The processor performs the various methods and processes described above. For example, method embodiments in the present solution may be implemented as a software program tangibly embodied on a machine-readable medium, such as a memory. In some embodiments, part or all of the software program may be loaded and/or installed via memory and/or a communication interface. One or more of the steps of the methods described above may be performed when a software program is loaded into memory and executed by a processor. Alternatively, in other embodiments, the processor may be configured to perform one of the methods described above in any other suitable manner (e.g., by means of firmware).
The device may be implemented using a bus architecture. The bus architecture may include any number of interconnecting buses and bridges depending on the specific application of the hardware and the overall design constraints. The bus connects together various circuits including one or more processors, memories, and/or hardware modules. The bus may also connect various other circuits such as peripherals, voltage regulators, power management circuits, external antennas, and the like.
The bus may be an industry standard architecture (ISA, industry Standard Architecture) bus, a peripheral component interconnect (PCI, peripheral Component) bus, or an extended industry standard architecture (EISA, extended Industry Standard Component) bus, etc., and may be classified as an address bus, a data bus, a control bus, etc.
Embodiment one:
the resource utilization evaluation index of the whole system in the embodiment of the invention comprises the following steps: measuring and controlling the overall use efficiency of resources
；
The overall use efficiency of the measurement and control resources
The method specifically comprises the following elements: resource orchestration ability->
Resource service capability->
Full net elastic capability->
；
The resource orchestration capability
The method specifically comprises the following elements: task satisfaction->
Load balancing- >
Full network resource compliance ∈>
Automatic scheduling duty cycle->
；
The resource service capability
The method specifically comprises the following elements: user demand satisfaction rate->
User satisfaction->
Average response time->
；
The whole net elastic capability
The method specifically comprises the following elements: maximum availability of resources->
Support satellite redundancy->
Satellite security redundancy->
Task compensation rate->
Plan stability->
；
The specific meaning of the above index belongs to the prior art in the field and is not repeated;
based on a 1-9 scale method, constructing a capacity layer-index layer judgment matrix, calculating a consistency weight vector of each index, and carrying out consistency test on the judgment matrix:
resource orchestration capability-index layer judgment matrix, as shown in the following table:
wherein, the normalized weight vector is:
the maximum eigenvalue is:
；
and (3) carrying out consistency test to obtain consistency operators as follows:
querying the average random consistency index table to obtain an average random consistency index:
=0.89, the calculated consistency ratio is:
therefore, the resource overall planning capability-index layer judgment matrix has consistency.
Resource service capability-index layer judgment matrix as shown in the following table:
wherein, the normalized weight vector is:
the maximum eigenvalue is: 
；
And (3) carrying out consistency test to obtain consistency operators as follows:
querying the average random consistency index table to obtain an average random consistency index:
the resource service capability-index layer judgment matrix has consistency.
The full network elastic capability-index layer judgment matrix is shown in the following table:
wherein, the normalized weight vector is:
the maximum eigenvalue is:
；
and (3) carrying out consistency test to obtain consistency operators as follows:
querying the average random consistency index table to obtain an average random consistency index:
therefore, the full-network elasticity-index layer judgment matrix has consistency.
The overall utilization efficiency-capability layer judgment matrix of the measurement and control resources is shown in the following table:
wherein, the normalized weight vector is:
the maximum eigenvalue is:
；
and (3) carrying out consistency test to obtain consistency operators as follows:
average random uniformity index:
therefore, the judging matrix of the overall utilization efficiency-capability layer of the measurement and control resources has consistency.
The synthetic weight of each element in the index layer relative to the total target of the comprehensive performance of the space measurement and control network resource scheduling is calculated, and the result is shown in the following table:
in the aspect of evaluating data simulation, the comprehensive performance of the simulation measurement and control resource network under the two alternative schemes of normal and insufficient measurement and control resources is respectively simulated by taking 24 hours as an interval space flight measurement and control network resource work plan:
The calculation scale under normal conditions is 160 low-orbit satellites, 20 sets of ground measurement and control resources;
the calculation scale under the condition of insufficient measurement and control resources is 160 low-orbit satellites, 17 sets of ground measurement and control resources are provided, and the requirements are the same as those of the normal condition.
After normalizing part of indexes according to the actual demand of space measurement and control network resource scheduling, the comprehensive efficiency under the two conditions is obtained, as shown in the following table:
therefore, compared with the normal condition, the efficiency of the whole network is obviously reduced when 3 sets of measurement and control resources are reduced.
When the measurement and control resources are insufficient, the measurement and control tasks born by the reduced 3 sets of measurement and control resources are distributed to other resources, so that the load rate of the whole network resources is increased; when the number of the resource-bearing tasks is large, the load balance degree is also increased to a certain extent. This shows that the measurement and control resources are reduced under the condition that the demand is unchanged, and the overall utilization efficiency of the whole network resources can be improved. However, the key indexes such as the task satisfaction rate, the user demand satisfaction rate, the maximum availability of resources, the average response time and the like of the whole network are reduced to different degrees. The method shows that under the condition of insufficient resources, the service capacity and the elastic capacity of the whole network are insufficient, and the reduction of the efficiency of the whole network is directly caused. In addition, as can be seen from the comprehensive efficiency, the overall network efficiency under the daily condition still has a larger improvement space through continuous optimization of a scheduling algorithm and resource allocation.
And (3) verifying the validity of the scheme:
based on the total use efficiency-capability layer judgment matrix of the measurement and control resources, four experts are assumed to respectively score the overall resource planning capability, the resource service capability and the full-network elasticity capability in the satellite measurement and control plan efficiency evaluation index system, so as to obtain an evaluation sample matrix:
the scoring grades of the indexes are divided into 4 grades of excellent grade, good grade, medium grade, poor grade and the like, and the 4 grades correspond to 4 evaluation ash classes, namely N=1, 2,3 and 4, and the corresponding ash numbers and whitening weight functions are as follows:
the 1 st grade is 'excellent', and the range of the ash number is set
The whitening weight function is +.>
As shown in fig. 4;
the 2 nd level is good, and the range of the ash number is set
The whitening weight function is +.>
As shown in fig. 5;
the 3 rd grade is 'middle', and the range of the gray number is set
The whitening weight function is +.>
As shown in fig. 6;
the 4 th grade is 'difference', and the range of the ash number is set
The whitening weight function is +.>
As shown in fig. 7;
for the resource overall capacity, the gray evaluation coefficients of the four evaluation gray classes are respectively as follows:
The total gray evaluation coefficients of the resource orchestration capability for each evaluation gray class are:
the gray evaluation weights of the four gray classes of the resource overall planning capability are respectively as follows:
similarly, the gray evaluation weights for the resource service capability and the whole network elasticity capability can be obtained respectively as follows:
the comprehensive clustering coefficients of the comprehensive performance of the satellite measurement and control plan on four ash types are respectively as follows:
due to
And->
And->
The satellite measurement and control plan performance is between 'excellent' and 'good' and more nearly excellent, so that the scheme of the embodiment is proved to be effective and reliable.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.
Claims (10)
1. The multi-satellite measurement and control plan efficiency evaluation method is characterized by comprising the following steps of:
Step 1, constructing a satellite measurement and control plan efficiency evaluation index system;
step 2, establishing a single measurement and control resource utilization evaluation index and an overall system resource utilization evaluation index;
step 3, establishing a service condition receiving index and a task satisfaction index;
and 4, evaluating and calculating elements and weights in the single measurement and control resource utilization evaluation index, the whole system resource utilization evaluation index, the receiving service condition index and the task satisfaction index by a system analysis method to obtain a performance comparison or sequencing result of the aerospace measurement and control alternative scheme.
2. The method of claim 1, wherein the system variables of the satellite measurement and control plan performance evaluation index system comprise a set of measurement and control resources, a set of spacecraft, a set of visible time windows, and a length of visible time windows.
3. The method of claim 2, wherein the single measurement and control resource utilization evaluation index comprises a first measurement and control resource utilization evaluation index
Utilization rate of individual measurement and control resources->
The specific formula is as follows:
wherein ,
indicate->
Satellite->
Measurement and control time of each measurement and control task; />
Indicate->
The satellite is at->
A measurement and control task set performed on each measurement and control resource; / >
Indicate->
The first measurement and control resource is directed at all satellites in the scene>
A visible time window length; />
Representing a set of satellites.
4. The method of claim 3, wherein the single measurement and control resource utilization evaluation index further comprises a weighted average utilization of all measurement and control resources
The specific formula is as follows:
wherein ,
indicate->
Priority of each measurement and control resource; />
Indicate->
Satellites and->
A set of visible time windows between the measurement and control resources; />
Representing the set of measurement and control resources.
5. The method of claim 4, wherein the overall system resource utilization evaluation index comprises a measurement and control resource populationEfficiency of use
The specific formula is as follows:
wherein ,
and (5) representing the satisfaction degree of all satellite weighted measurement and control tasks of the scene.
6. The method of claim 1, wherein the received service condition indicators include an average daily up-track measurement and control turn of each satellite, an average daily down-track measurement and control turn of each satellite, an average each measurement and control time of each satellite, an average daily station count of each satellite, and maximum and minimum measurement and control interval times of each satellite; the task satisfaction index comprises the satisfaction degree of each satellite measurement and control task, the satisfaction degree of all satellite weighted measurement and control tasks and the satisfaction degree of each priority measurement and control task.
7. The method according to claim 1, wherein the system analysis method is a hierarchical analysis method, and the step 4 specifically includes:
step 41, analyzing and evaluating the relation among the single measurement and control resource utilization evaluation index, the whole system resource utilization evaluation index, the receiving service condition index and the task satisfaction index element, and establishing a hierarchical structure;
step 42, comparing the elements in the same layer in pairs according to the importance degree of a certain criterion in the previous layer to construct a judgment matrix;
step 43, calculating the relative weight of the compared element to the criterion based on the judgment matrix, and carrying out consistency test;
and step 44, calculating the synthetic weight of each element in each layer on the total target of the comprehensive performance of the resource scheduling of the aerospace measurement and control network, and comparing or sequencing each aerospace measurement and control alternative scheme according to the performance.
8. The method according to claim 7, wherein the consistency check in step 43 specifically comprises:
step 431, calculating the consistency index
The specific formula is as follows:
wherein ,
representing the maximum eigenvalue of the judgment matrix; n represents the order of the judgment matrix;
Step 432, searching to obtain a corresponding average random consistency index based on the average random consistency index table
；
Step 433, calculate the consistency ratio
The specific formula is as follows:
9. a multi-satellite measurement and control plan performance evaluation system, comprising: the device comprises a data acquisition module, a data processing module and a result generation module;
the data acquisition module is used for acquiring data of a measurement and control resource set, a spacecraft set, a visible time window set and a visible time window length;
the data processing module comprises an index unit and an analysis unit;
the index unit is used for storing a satellite measurement and control plan efficiency evaluation index system, a single measurement and control resource utilization evaluation index, an overall system resource utilization evaluation index, a receiving service condition index and a task satisfaction index;
the analysis unit is used for calling a satellite measurement and control plan efficiency evaluation index system, a single measurement and control resource utilization evaluation index, an overall system resource utilization evaluation index, a receiving service condition index and a task satisfaction index based on a measurement and control resource set, a spacecraft set, a visible time window set and a visible time window length, and performing evaluation calculation on elements and weights in the indexes through a system analysis method to obtain a space measurement and control alternative scheme efficiency comparison or sequencing result;
The result generation module is used for externally issuing the result of performance comparison or sequencing of the aerospace measurement and control alternative scheme.
10. The multi-satellite measurement and control plan performance evaluation device is characterized by comprising a processor, a memory and a bus, wherein the memory stores instructions and data which can be read by the processor; the processor is used for calling the instructions and the data in the memory to execute the multi-satellite measurement and control plan performance evaluation method according to any one of claims 1-8; the bus connects the functional components to transfer information therebetween.
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