CN108536919B - Lunar exploration spacecraft offline task efficiency evaluation system and evaluation method thereof - Google Patents
Lunar exploration spacecraft offline task efficiency evaluation system and evaluation method thereof Download PDFInfo
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Abstract
The invention provides a lunar spacecraft offline task efficiency evaluation system and an evaluation method thereof. The evaluation system comprises a lunar spacecraft task performance evaluation system based on a distributed computer parallel framework and a fuzzy comprehensive evaluation method. The distributed computer-based parallel framework comprises a server and n node service machines, the distributed computer calculates to obtain spacecraft state information, and an evaluation report and a visual evaluation result are output after evaluation is carried out by an efficiency evaluation system. The invention solves the problems of low operation speed, low reliability, insufficient confidentiality and non-visual result of the traditional efficiency evaluation system.
Description
Technical Field
The invention relates to a data processing and visualization system for space flight and aviation and an implementation method thereof, in particular to a lunar spacecraft offline task efficiency evaluation system and an implementation method thereof, which are applied to space flight and can evaluate lunar spacecraft task efficiency and realize visualization of evaluation results through a self-organizing evaluation scheme according to different evaluation index requirements.
Background
With the continuous development of aerospace technology, computer technology and performance evaluation technology, computer-based spacecraft task performance evaluation technology is receiving more and more attention, and increasingly complex spacecraft tasks also put higher demands on an evaluation system.
The traditional spacecraft task performance evaluation system divides system function tasks through the design of operating system software, and the system functions are called among all tasks of the operating system through a certain synchronization mechanism, which usually occupies a longer machine operation period and has a slow system processing speed; most of the existing efficiency evaluation systems are on-line evaluation, and the method has insufficient data density and cannot be used for a security system related to military use; the conventional efficiency evaluation system is designed by adopting an output mode of an evaluation report, and the mode cannot intuitively reflect the efficiency evaluation result and can improve the use difficulty of a user; meanwhile, most of the existing efficiency evaluation systems adopt a simple method for obtaining the weighting of the comprehensive evaluation value to evaluate on the evaluation calculation, and the method is not rich in information and poor in reliability.
Disclosure of Invention
The invention aims to provide a lunar spacecraft offline task efficiency evaluation system with high processing speed and high reliability and an evaluation method thereof. The invention also aims to provide an evaluation method of the lunar spacecraft offline task performance evaluation system based on the lunar spacecraft offline task performance evaluation system.
The off-line task efficiency evaluation system of the lunar exploration spacecraft comprises a lunar exploration spacecraft task efficiency evaluation system based on a distributed computer parallel framework and a fuzzy comprehensive evaluation method;
the distributed computer-based parallel framework comprises a server and n node servers, namely a node server 1 and a node server 2 … … node server n, wherein the node server 1 and the node server 2 … … node servers n are connected with a server end 1 through a TCP/IP protocol, and the node server 1 and the node server 2 … … node servers n are connected through a TCP/IP protocol;
the lunar spacecraft offline task performance evaluation system based on the fuzzy comprehensive evaluation method comprises a data acquisition and preprocessing module, an evaluation scheme and calculation flow modeling module, a life-cycle performance evaluation module and an evaluation result output module, the data acquisition and preprocessing module 2 is connected with the server 1, the evaluation scheme and calculation flow modeling module 3 is connected with the evaluation algorithm library 5, the index system construction 10 and the index sensitivity analysis 11, the evaluation scheme and calculation flow modeling module 3 is connected with the output end of the data acquisition and preprocessing module 2, the full-life efficiency evaluation module 4 is connected with the output end of the evaluation scheme and calculation flow modeling module 3, the evaluation result output module comprises an evaluation report generation module 6 and an evaluation result visualization module 9 and is connected with the output end of the full-life efficiency evaluation module 4, and the evaluation result visualization enables the output to be connected with the Cesium display module 7 and the ECharts display module 8.
The evaluation method of the lunar exploration spacecraft offline task efficiency evaluation system based on the invention comprises the following steps:
the method comprises the following steps that a server serves as a main control computer in a parallel frame structure, a node server i is a simulator in the parallel frame structure, the server divides engineering data needing to be calculated into small blocks, then various task starting instructions needing to be synchronously realized are transmitted to a node server corresponding to tasks through TCP/IP communication, the node server corresponding to the tasks provides simulation state information, namely various elements in a task execution process, needed for performance evaluation to the main control computer server in a TCP/IP communication mode after operation, and i is 1,2, … … and n;
1. evaluation of Life-cycle Performance
The server side outputs simulation state information which is connected with the data acquisition and preprocessing module input and transmitted, the data acquisition and preprocessing module preprocesses the information and transmits the information to the evaluation scheme and calculation flow modeling module, the evaluation scheme and calculation flow modeling module comprises an evaluation algorithm library, index system construction and index sensitivity analysis, the evaluation scheme and calculation flow modeling module carries out index system construction and sensitivity analysis based on a fuzzy comprehensive evaluation method and a spacecraft current task to obtain a full-life efficiency evaluation scheme, and the off-line task is subjected to efficiency evaluation, wherein the full-life efficiency evaluation specifically comprises the following steps:
firstly, determining an evaluation index and an evaluation grade:
let uiTo characterize the evaluation index, v, which is m factors of the object to be evaluatedjThe n decisions, i.e., the rating, that characterize the state of each factor, i is 1,2 …, m; j is 1,2, …, n;
secondly, constructing a single-factor fuzzy evaluation matrix:
determination of factor uiFor comment vjDegree of membership u ofi(vj) And further obtaining a single-factor fuzzy evaluation matrix:
the membership function of the fuzzy set comprises the following 6 forms:
(1) linear membership function: u (x) 1-kx;
(2) membership function: u (x) exp (-kx);
(3) concave or convex membership function: u (x) 1-axk；
(4) Cauchy membership function: u (x) 1/(1+ kx)2)；
(5) Ridge-shaped membership function:
(6) normal membership function:
then, determining a weight coefficient of the evaluation index:
performing calculation by adopting an integrated weighting method or a fuzzy analytic hierarchy process, and setting a weight vector as
In the formula:
then fuzzy synthesis is carried out, and
and
and (3) carrying out fuzzy sum operation:
(1) the main factor determines the type M (V, Λ), i.e.
(2) The main factor stands out type I M (·, Λ), i.e.
(3) Predominant factor is prominent type II
Namely, it is
(4) Weighted averageType M (, +), i.e.
Meanwhile, 4 mathematical models are adopted to respectively obtain different sequences, and then a Borda number method is utilized to aggregate a plurality of decision sequencing results:
let X be (X)1,x2,…,xn) Is a set of groups participating in a decision, U ═ U1,u2,…,um) Is m alternatives, i.e. an opinion set, each U in UiRanking the individuals in X in an order called the ith opinion, uiIs a linear order of the elements and,
let Bi(x) Indicate the number of elements following x in the ith opinion, and order
B (x) Borda number called x;
if the importance of each opinion is different, the weight is given and Borda number is calculated
Then the elements in X get a new ordering according to the size of Borda number;
and finally, processing and analyzing the fuzzy comprehensive evaluation result vector according to the weighted average:
the weighted average principle considers the rank as a relative position, makes it continuous, sequentially expresses the ranks by "1, 2, …, n", and is called the rank of each rank, and then
The corresponding component in the total weight sum of the ranks of all the grades to obtain the relative position of the evaluated object, and the weighted average principle is expressed as
Wherein k is a specific coefficient, k is 1 or k is 2;
2. evaluation report generation
The life-cycle performance evaluation module outputs the result as an evaluation report, the evaluation report includes an evaluation subject, an evaluation object, an evaluation target, an evaluation means, an evaluation implementation and a performance analysis table, wherein the performance analysis table details evaluation levels and finally obtained performance values obtained by each evaluation index, and the generation of the evaluation report specifically includes:
the first step is as follows: the user selects the information to be displayed, evaluates the main body, the evaluation object, the evaluation target, the evaluation means, the evaluation implementation and the efficiency analysis table, and submits the information to the server for processing;
the second step is that: the method comprises the steps that a server obtains and arranges simulation data and efficiency evaluation data of a satellite execution task;
the third step: after the information integration required by the user is completed, generating a word file for output from the information required by the user, and sending the word file to an evaluation report module;
the fourth step: the evaluation report module outputs an evaluation report to a user;
3. evaluation result visualization
The evaluation result visualization part is realized based on Cesium and ECharts, wherein the Cesium part visually displays information of the spacecraft when the spacecraft executes the task, including the position, the attitude and key events of the spacecraft when the spacecraft executes the task; the EChats part displays information in a chart mode, wherein the information comprises a line graph, a bar graph, a map, a relational graph and a tree graph; the position (x, y, z) and velocity (V) of the satelliteX，VY，VZ) Quaternion (q)0，q1，q2，q3) The method is shown in a form of a diagram, and specifically comprises the following steps:
cesium display module process:
the first step is as follows: the user checks the information to be displayed, including the satellite name and the time name, and submits the information to the server for processing;
the second step is that: and the server acquires and arranges the simulation data of the satellite executing task. According to pairs in CMZL filesThe orbit of the satellite, format and description mode of the attitude data stipulate: the orbit data provided by the system should be represented in PV form; the attitude data should be in an attitude quaternion q0，q1，q2，q3A formal representation; the event information is represented by an event name and an occurrence time;
the third step: after information integration required to be displayed by a user is completed, generating a CZML file for display from satellite information, orbit information and time information, and sending the CZML file to a visualization module;
the fourth step: the Cesium module loads a CZML document through a Cesium.CzmlDataSource.load () method to realize the on-line and real-time display of the satellite;
flow of an ECharts display module:
the first step is as follows: the user checks the information to be displayed, including the chart type and the data type, and submits the information to the server for processing;
the second step is that: the server acquires and arranges data to be displayed; the system generates an html file of the ECharts according to different data information;
the third step: after the information integration required to be displayed by the user is completed, the generated html file is sent to a visualization module;
the fourth step: and the EChardt module loads the html file to realize the display of the data chart.
In order to solve the problems of low processing speed and low reliability of a traditional spacecraft task performance evaluation system, the invention provides a lunar spacecraft offline task performance evaluation system and evaluation method based on a fuzzy comprehensive evaluation method.
The invention has the advantages that: the invention adopts a distributed computer parallel framework, simplifies the design flow, and the parallel structure enables the computer to have a multi-thread computing function, and uses a plurality of processors to execute different tasks, thereby realizing different functions, greatly improving the performance of the system, separating the off-line system from the network to ensure the safety of spacecraft data, the efficiency evaluation system adopts a fuzzy algorithm to use an index system and an evaluation algorithm library to improve the reliability of efficiency evaluation, the evaluation result comprises report generation and visual display, the visual generation part uses a Cesium display module to reappear a scene, and an ECharts module is used to perform data visual analysis, thereby improving the user experience, and the invention has the advantages of high processing speed, safe data, and clear and reliable result.
Drawings
Fig. 1 is a schematic structural diagram of the lunar spacecraft offline task performance evaluation system of the invention.
Detailed Description
The invention is further described below by way of example.
Firstly, the method comprises the following steps: with reference to fig. 1, based on a distributed computer parallel framework, distributed cooperative computing can be performed for multiple tasks of the lunar spacecraft, and compared with traditional centralized serial computing, distributed computing can save a large amount of computing time and ensure high speed of the system.
The lunar spacecraft offline task performance evaluation system comprises a server and n node service machines based on a distributed computer parallel framework, wherein the node service machines are respectively a node service machine 113 and a node service machine 214 … … node service machine n n +13, the node service machine 1 and the node service machine 2 … … node service machine n are connected with a server end 1 through a TCP/IP protocol, the node service machine 1 and the node service machine 2 … … node service machine n are connected through a TCP/IP protocol 12,
the lunar spacecraft offline task efficiency evaluation system based on the fuzzy comprehensive evaluation method comprises a data acquisition and preprocessing module, an evaluation scheme and calculation flow modeling module, a full-life efficiency evaluation module and an evaluation result output module, wherein the data acquisition and preprocessing module 2 is connected with a server end 1, the evaluation scheme and calculation flow modeling module 3 is connected with an evaluation algorithm library 5, an index system construction 10 and an index sensitivity analysis 11, the evaluation scheme and calculation flow modeling module 3 is connected with the output end of the data acquisition and preprocessing module 2, the full-life efficiency evaluation module 4 is connected with the output end of the evaluation scheme and calculation flow modeling module 3, the evaluation result output module comprises an evaluation report generation module 6 and an evaluation result visualization module 9, and the output end of the life-cycle efficiency evaluation module 4 is connected, and the evaluation result is visualized to ensure that the output is connected with a Cesium display module 7 and an ECharts display module.
The invention comprises 1 server and n node servers, wherein the server end is respectively connected with the data input and output ends of n node servers i (i is 1,2, … …, n) through TCP/IP communication, so as to realize the interaction among the data of the n node servers.
The server is used as a main control computer in a parallel framework structure, the node server i (i is 1,2, … …, n) is a simulation machine in the parallel framework structure, the server divides engineering data which needs to be calculated in large quantity into small blocks, then various task starting instructions which need to be synchronously realized are transmitted to the node server (i is 1,2, … …, n) of corresponding tasks through TCP/IP communication, and the node server (i is 1,2, … …, n) of corresponding tasks provides simulation state information, namely various elements in a task execution process, which are needed for efficiency evaluation to the main control computer server in a TCP/IP communication mode after operation. The distributed parallel computer realizes rare resource sharing, and meanwhile, the computing load can be balanced on a plurality of computers through distributed computing.
II, secondly: and (4) evaluating the performance of the whole life, namely evaluating the performance of the off-line task of the spacecraft on the basis of the first part. On the basis of the first part, the output of the server end is connected with the input of a data acquisition and preprocessing module to transmit simulation state information, the data acquisition and preprocessing module is connected with the input end of an evaluation scheme and calculation flow modeling module, the data acquisition and preprocessing module preprocesses the information and transmits the preprocessed information to the evaluation scheme and calculation flow modeling module, the evaluation scheme and calculation flow modeling module comprises an evaluation algorithm library, index system construction and index sensitivity analysis, and the evaluation scheme and calculation flow modeling module carries out index system construction and sensitivity analysis based on a fuzzy comprehensive evaluation method and a spacecraft current task to obtain a full-life efficiency evaluation scheme and carry out efficiency evaluation on an offline task. Wherein, the overall life efficiency evaluation adopts a fuzzy comprehensive evaluation method, and the basic steps are as follows:
firstly, determining an evaluation index and an evaluation grade:
let ui(i 1, 2.. said., m) is m factors (i.e., evaluation indexes) describing an evaluation object, and v isj(j ═ 1, 2.., n) is each of the scribesOne factor gives n decisions (i.e., ratings) of the state.
Secondly, constructing a single-factor fuzzy evaluation matrix:
determination of factor ui(i ═ 1, 2.. times, m) for comment vjDegree of membership u of (j ═ 1, 2.. times.n)i(vj) And further obtaining a single-factor fuzzy evaluation matrix:
the basic problem of fuzzy set is how to determine a distinct membership function, but there is no strict determination method so far, and it is usually determined by intuition, experience, statistics, sorting, reasoning, etc., and there are roughly 6 forms in summary.
(1) Linear membership function: u (x) 1-kx.
(2) Membership function: u (x) exp (-kx).
(3) Concave (convex) membership function: u (x) 1-axk。
(4) Cauchy membership function: u (x) 1/(1+ kx)2)。
(5) Ridge-shaped membership function:
(6) normal membership function:
then, determining a weight coefficient of the evaluation index:
the weight coefficient reflects the relative importance degree of the evaluated object factor and can be calculated by adopting a comprehensive integration weighting method or a fuzzy analytic hierarchy process. Let the weight vector be expressed as
In the formula:
then, the fuzzy synthesis is carried out to see
And
and (3) carrying out fuzzy sum operation:
(1) The main factor determines the type M (V, Λ), i.e.
Its result only considers the most prominent factors, and other factors do not play a real role. Such an operation is prone to situations where the assessment outcome is not readily discernable (i.e., model failure).
(2) The main factor stands out type I M (·, Λ), i.e.
The operator operation result is more accurate than M (V, Lambda), and the operator operation result gives consideration to all factors. Ordinary real multiplication does not lose information.
(3) Predominant factor is prominent type II
Namely, it is
(4) Weighted average type M (, +), i.e.
Meanwhile, 4 mathematical models are adopted to respectively obtain different sequences, and then a Borda number method is utilized to aggregate a plurality of decision sequencing results:
let X be (X)1,x2,…,xn) Is a set of groups participating in a decision, U ═ U1,u2,…,um) Are m alternatives (i.e., opinion sets). Each U of UiThe I-th opinion is named after the individuals in X are arranged in an order (partial order, linear order). u. ofi(i-1, 2, …, m) is a linear sequence of elements,
let Bi(x) Indicate the number of elements following x in the ith opinion, and order
B (x) the Borda number called x.
If the opinions have different importance, weight can be given and Borda number can be obtained
The size of the elements in X by the number of Borda may result in a new ordering.
And finally, processing and analyzing the fuzzy comprehensive evaluation result vector according to the weighted average:
the weighted average principle considers the rank as a relative position, making it continuous. For quantitative processing, the ranks are sequentially represented by "1, 2, …, n" and are referred to as ranks of the ranks. Then use
The corresponding component in the total weight sum of the ranks of all the grades to obtain the relative position of the evaluated object. This is a weighted average principle, which can be expressed as
Wherein k is a specific coefficient (k-1 or k-2).
In the embodiment, the algorithm selection can be automatically selected by the system or selected by the user, and the human-computer interaction function is realized. The spacecraft task is evaluated off line by using a full-life efficiency evaluation scheme generated based on a fuzzy comprehensive evaluation method and simulation state information, so that the data security is guaranteed, and the reliability of an evaluation result is improved.
Thirdly, the method comprises the following steps: and generating an evaluation report, wherein the generation of the evaluation report is carried out on the basis of the second part.
Based on the second part, the life-cycle performance evaluation module outputs the result as an evaluation report, which includes an evaluation subject, an evaluation object, an evaluation target, an evaluation means (criteria, methods, tools), an evaluation implementation, and a performance analysis table, wherein the performance analysis table details the evaluation level and the final performance value obtained for each evaluation index.
The software flow of this embodiment is explained below:
the first step is as follows: the user checks the information to be displayed, evaluates the main body, the evaluation object, the evaluation target, the evaluation means (the criterion, the method and the tool), the evaluation implementation and the efficiency analysis table, and submits the information to the server for processing.
The second step is that: the server acquires and arranges simulation data and efficiency evaluation data of the satellite execution task. The data in the evaluation subject, the evaluation target, the evaluation means (criteria, methods, tools), the evaluation implementation, and the performance analysis table are obtained when the performance evaluation is performed in the second section.
The third step: after the information integration required to be displayed by the user is completed, the information required by the user is generated into a word file for output and is sent to an evaluation report module.
The fourth step: the evaluation report module outputs an evaluation report to the user.
Fourthly, the method comprises the following steps: and visualizing the evaluation result on the basis of the second part.
The evaluation result can be visually output on the basis of the second part, and the evaluation result visualization part is based on Cesium andthe EChats are realized, wherein the Cesum part visually displays information of the spacecraft when the spacecraft executes the task, including the position, the attitude and key events of the spacecraft when the spacecraft executes the task; the ECharts section graphically displays information including line graphs, histograms, maps, relational graphs, treemaps, and the like. The position (x, y, z) and the velocity (V) of the satellite can be determinedX，VY，VZ) Quaternion (q)0，q1，q2，q3) The data are displayed in a chart form, so that a user can more visually see the variation trend of each parameter of the satellite in navigation.
The software flow of this embodiment is explained below:
cesium display module process:
the first step is as follows: and the user checks the information to be displayed, including the satellite name and the time name, and submits the information to the server for processing.
The second step is that: and the server acquires and arranges the simulation data of the satellite executing task. According to the specification of the format and description mode of the orbit and attitude data of the satellite in the CMZL file: the orbit data provided by the system should be represented in PV form; the attitude data should be in an attitude quaternion q0，q1，q2，q3A formal representation; the event information is represented by an event name and an occurrence time.
The third step: after information integration required to be displayed by a user is completed, the satellite information, the orbit information and the time information are generated into a CZML file for display, and the CZML file is sent to a visualization module.
The fourth step: the Cesium module loads the CZML file through a Cesium.CzmlDataSource.load () method, and satellite online and real-time display is realized.
Flow of an ECharts display module:
the first step is as follows: the user selects the information to be displayed, including the chart type and the data type, and submits the information to the server for processing.
The second step is that: the server acquires and arranges the data to be displayed. Data information of the satellite when performing tasks is directly provided by a system, and orbit data provided by the system is expressed in a PV form(ii) a The attitude data should be in an attitude quaternion q0，q1，q2，q3And (4) form representation. The performance evaluation data information includes evaluation subjects, evaluation objects, evaluation targets, evaluation means (criteria, methods, tools), evaluation implementation, and performance analysis table data obtained when performance evaluation is performed in the second section. The system generates an html file of the ECharts according to different data information.
The third step: and after the information integration required to be displayed by the user is completed, the generated html file is sent to the visualization module.
The fourth step: and the EChardt module loads the html file to realize the display of the data chart.
In the embodiment, the result is output in a visual form, so that the process and the result of the efficiency evaluation are visually reflected, the use difficulty of a user is reduced, and the use efficiency is improved.
Claims (1)
1. An evaluation method of a lunar spacecraft offline task efficiency evaluation system comprises two parts of the lunar spacecraft task efficiency evaluation system based on a distributed computer parallel framework and a fuzzy comprehensive evaluation method, and is characterized in that:
the method comprises the following steps that a server serves as a main control computer in a parallel frame structure, a node server i is a simulator in the parallel frame structure, the server divides engineering data needing to be calculated into small blocks, then various task starting instructions needing to be synchronously realized are transmitted to a node server corresponding to tasks through TCP/IP communication, the node server corresponding to the tasks provides simulation state information, namely various elements in a task execution process, needed for performance evaluation to the main control computer server in a TCP/IP communication mode after operation, and i is 1,2, … … and n;
evaluation of Life-cycle Performance
The server side outputs simulation state information which is connected with the data acquisition and preprocessing module input and transmitted, the data acquisition and preprocessing module preprocesses the information and transmits the information to the evaluation scheme and calculation flow modeling module, the evaluation scheme and calculation flow modeling module comprises an evaluation algorithm library, index system construction and index sensitivity analysis, the evaluation scheme and calculation flow modeling module carries out index system construction and sensitivity analysis based on a fuzzy comprehensive evaluation method and a spacecraft current task to obtain a full-life efficiency evaluation scheme, and the off-line task is subjected to efficiency evaluation, wherein the full-life efficiency evaluation specifically comprises the following steps:
firstly, determining an evaluation index and an evaluation grade:
let uiTo characterize the evaluation index, v, which is m factors of the object to be evaluatedjThe n decisions, i.e., the rating, that characterize the state of each factor, i is 1,2 …, m; j is 1,2, …, n;
secondly, constructing a single-factor fuzzy evaluation matrix:
determination of factor uiFor comment vjDegree of membership u ofi(vj) And further obtaining a single-factor fuzzy evaluation matrix:
wherein: r isijTo determine the factor uiFor comment vjThe membership degree of the fuzzy set comprises the following 6 forms:
(1) linear membership function: u (x) 1-kx;
(2) membership function: u (x) exp (-kx);
(3) concave or convex membership function: u (x) 1-axk；
(4) Cauchy membership function: u (x) 1/(1+ kx)2)；
(5) Ridge-shaped membership function:
(6) normal membership function:
then, determining a weight coefficient of the evaluation index:
performing calculation by adopting an integrated weighting method or a fuzzy analytic hierarchy process, and setting a weight vector as
In the formula:
aifor the elements in the weight vector to be,
then fuzzy synthesis is carried out, and
and
and (3) carrying out fuzzy synthesis operation:
wherein:
as fuzzy synthesis operator, bjFor elements in fuzzy synthesis, j is 1,2, …, n, and fuzzy synthesis operators are as follows:
(1) the main factor is determined by the type M (V-V), i.e.
(2) The main factor stands out type I M (·, Λ), i.e.
(3) Predominant factor is prominent type II
Namely, it is
(4) Weighted average type M (, +), i.e.
Meanwhile, 4 mathematical models are adopted to respectively obtain different sequences, and then a Borda number method is utilized to aggregate a plurality of decision sequencing results:
let X be (X)1,x2,…,xn) Is a set of groups participating in a decision, U ═ U1,u2,…,um) Is m alternatives, i.e. an opinion set, each U in UiRanking the individuals in X in an order called the ith opinion, uiIs a linear order of the elements and,
let Bi(x) Indicate the number of elements following x in the ith opinion, and order
B (x) Borda number called x;
if the importance of each opinion is different, the weight is given and Borda number is calculated
Then the elements in X get a new ordering according to the size of Borda number;
and finally, processing and analyzing the fuzzy comprehensive evaluation result vector according to the weighted average:
the weighted average principle considers the rank as a relative position, makes it continuous, sequentially expresses the ranks by "1, 2, …, n", and is called the rank of each rank, and then
Middle correspondenceThe components of (2) are weighted and summed up with the ranks of all the grades to obtain the relative position of the evaluated object, and the weighted average principle is expressed as
In the formula k0For a specific coefficient, k01 or k0＝2；
And (3) generating an evaluation report:
the life-cycle performance evaluation module outputs the result as an evaluation report, the evaluation report includes an evaluation subject, an evaluation object, an evaluation target, an evaluation means, an evaluation implementation and a performance analysis table, wherein the performance analysis table details evaluation levels and finally obtained performance values obtained by each evaluation index, and the generation of the evaluation report specifically includes:
the first step is as follows: the user selects the information to be displayed, evaluates the main body, the evaluation object, the evaluation target, the evaluation means, the evaluation implementation and the efficiency analysis table, and submits the information to the server for processing;
the second step is that: the method comprises the steps that a server obtains and arranges simulation data and efficiency evaluation data of a satellite execution task;
the third step: after the information integration required by the user is completed, generating a word file for output from the information required by the user, and sending the word file to an evaluation report module;
the fourth step: the evaluation report module outputs an evaluation report to a user;
visualization of evaluation results:
the evaluation result visualization part is realized based on Cesium and ECharts, wherein the Cesium part visually displays information of the spacecraft when the spacecraft executes the task, including the position, the attitude and key events of the spacecraft when the spacecraft executes the task; the EChats part displays information in a chart mode, wherein the information comprises a line graph, a bar graph, a map, a relational graph and a tree graph; the position (x, y, z) and velocity (V) of the satelliteX,VY,VZ) Quaternion (q)0,q1,q2,q3) The method is shown in a form of a diagram, and specifically comprises the following steps:
cesium display module process:
the first step is as follows: the user checks the information to be displayed, including the satellite name and the time name, and submits the information to the server for processing;
the second step is that: the server acquires and arranges simulation data of the satellite executing task, and according to the specification of the format and description mode of the orbit and attitude data of the satellite in the CMZL file: the orbit data provided by the system should be represented in PV form; the attitude data should be in an attitude quaternion q0,q1,q2,q3A formal representation; the event information is represented by an event name and an occurrence time;
the third step: after information integration required to be displayed by a user is completed, generating a CZML file for display from satellite information, orbit information and time information, and sending the CZML file to a visualization module;
the fourth step: the Cesium module loads a CZML document through a Cesium.CzmlDataSource.load () method to realize the on-line and real-time display of the satellite;
flow of an ECharts display module:
the first step is as follows: the user checks the information to be displayed, including the chart type and the data type, and submits the information to the server for processing;
the second step is that: the server acquires and arranges data to be displayed; the system generates an html file of the ECharts according to different data information;
the third step: after the information integration required to be displayed by the user is completed, the generated html file is sent to a visualization module;
the fourth step: and the EChardt module loads the html file to realize the display of the data chart.
Priority Applications (1)
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013041940A1 (en) * | 2011-09-23 | 2013-03-28 | Abb Technology Ltd | Performance evaluation system and method therefor |
| CN104598759A (en) * | 2015-02-13 | 2015-05-06 | 中国科学院遥感与数字地球研究所 | Evaluation method for efficiency of satellite data receiving system |
| CN104881609A (en) * | 2015-05-29 | 2015-09-02 | 中国石油大学(华东) | Credibility evaluation method of software unit of complex software system |
| CN105808928A (en) * | 2016-03-02 | 2016-07-27 | 中国人民解放军装备学院 | Matrix sequence grey correlational assessment method for system efficiency of equipment |
| CN105913173A (en) * | 2016-04-05 | 2016-08-31 | 西北工业大学 | Fire fighting command automation system efficacy assessment method based on triangular fuzzy number |
| CN105956782A (en) * | 2016-05-12 | 2016-09-21 | 国网甘肃省电力公司电力科学研究院 | Power grid equipment purchase decision-making assessment method |
| CN106779341A (en) * | 2016-11-30 | 2017-05-31 | 广东工业大学 | A kind of method and system of power consumer electricity consumption situation measures of effectiveness |
| CN107438080A (en) * | 2017-08-31 | 2017-12-05 | 沈阳理工大学 | A kind of complex network efficiency estimation method |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070265893A1 (en) * | 2006-05-09 | 2007-11-15 | Nielson Scott L | A method of determining the effectiveness of an internet web site |
| US8635105B2 (en) * | 2007-08-28 | 2014-01-21 | The Nielsen Company (Us), Llc | Consumer experience portrayal effectiveness assessment system |
-
2018
- 2018-03-18 CN CN201810221835.8A patent/CN108536919B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2013041940A1 (en) * | 2011-09-23 | 2013-03-28 | Abb Technology Ltd | Performance evaluation system and method therefor |
| CN104598759A (en) * | 2015-02-13 | 2015-05-06 | 中国科学院遥感与数字地球研究所 | Evaluation method for efficiency of satellite data receiving system |
| CN104881609A (en) * | 2015-05-29 | 2015-09-02 | 中国石油大学(华东) | Credibility evaluation method of software unit of complex software system |
| CN105808928A (en) * | 2016-03-02 | 2016-07-27 | 中国人民解放军装备学院 | Matrix sequence grey correlational assessment method for system efficiency of equipment |
| CN105913173A (en) * | 2016-04-05 | 2016-08-31 | 西北工业大学 | Fire fighting command automation system efficacy assessment method based on triangular fuzzy number |
| CN105956782A (en) * | 2016-05-12 | 2016-09-21 | 国网甘肃省电力公司电力科学研究院 | Power grid equipment purchase decision-making assessment method |
| CN106779341A (en) * | 2016-11-30 | 2017-05-31 | 广东工业大学 | A kind of method and system of power consumer electricity consumption situation measures of effectiveness |
| CN107438080A (en) * | 2017-08-31 | 2017-12-05 | 沈阳理工大学 | A kind of complex network efficiency estimation method |
Non-Patent Citations (5)
| Title |
|---|
| Analysis on energy saving factors and research on energy efficiency evaluation indexes of ventilation and air conditioning system in the underground en gineering;S B Geng等;《Applied Mechanics and Materials》;20131231;682-687 * |
| 关于飞机机场桥载空调效能评估研究;陈维兴等;《计算机仿真》;20161115(第11期);30-37 * |
| 基于层次分析法与模糊理论的卫星效能评估;项磊等;《计算机仿真》;20130215(第02期);63-69 * |
| 基于模糊层次综合评价模型的综合演练评估系统;靳国栋等;《兵工自动化》;20080215(第02期);10-13 * |
| 武器装备效能仿真评估关键问题研究;焦松;《中国优秀博硕士学位论文全文数据库（博士） 工程科技II辑》;20141215;C032-3 * |
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