CN102508963A - Parametric weapon combat efficiency analysis system based on simulation and analysis method thereof - Google Patents
Parametric weapon combat efficiency analysis system based on simulation and analysis method thereof Download PDFInfo
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Abstract
The invention provides a parametric weapon combat efficiency analysis system based on simulation and an analysis method of the parametric weapon combat efficiency analysis system and relates to the weapon combat efficiency analysis system and the analysis method of the weapon combat efficiency analysis system. The weapon combat efficiency analysis system and the analysis method are provided in order to solve the problems of poor universality and poor expandability of the existing weapon combat efficiency analysis tool based on the simulation. The analysis system consists of an analysis data base, a simulation data base and modules such as an analysis item management module, an index algorithm configuration module, an index value calculation module, a result analysis module, a report generating module, an analysis process management module and the like. The analysis method adopting the system comprises the following steps of: logging in the analysis data base, and obtaining and displaying the existing analysis item information; opening concerned analysis items and recording information in the analysis items; configuring the index for describing the weapon combat efficiency according to the current analysis item information; calculating the combat efficiency index value and storing the combat efficiency index value into the analysis data base; analyzing the index calculation results, and storing the analysis results into the analysis data base; generating analysis reports; and finishing the operation. The system provided by the invention has good universality and expandability.
Description
Technical field
The invention belongs to weapon operational Effectiveness Analysis system and analytical approach thereof.
Background technology
The weaponry fighting efficiency is meant under the operational environment condition of regulation, when change system puts rules into practice combat duty, can reaches the degree of re-set target.Through analysis to the weaponry fighting efficiency, can instruct planning, development, configuration and the deployment of weaponry, reduce risk, minimizing cost and shortening from developing to the purpose of disposing life cycle thereby reach.
Weaponry operational Effectiveness Analysis method mainly is divided three classes: analytical method, statistic law and simulation method.Analytical method is to state analysis indexes as some analytic formula, through these formula are carried out numerical solution, finally obtains fighting efficiency.Because analytical method has been done more simplification to model, therefore the confidence level of resultant analysis result is lower.Statistic law is the fighting efficiency according to the large-scale statistical analysis weapon of actual combat, manoeuvre, experiment acquisition.But the data in many times actual combat and manoeuvre are difficult to obtain, or even do not have, so operability is relatively poor.Simulation method is through on the realistic model of armament systems, doing experiment, according to the emulation experiment data analysis fighting efficiency that obtains.Since this method practical, and can simulate a large amount of different operation situations, therefore in the operational Effectiveness Analysis method, occupy an important position.
At present; Operational Effectiveness Analysis instrument based on emulation all is to concrete problem analysis mostly, binds with the particular dummy system and designs and develops, and wherein analysis indexes system and algorithm are cured when system development; Therefore, the versatility of operational Effectiveness Analysis instrument and extensibility are relatively poor.
Summary of the invention
The present invention is existing based on the weaponry operational Effectiveness Analysis instrument versatility of emulation and the problem of poor expandability in order to solve, and a kind of parametrization weapon operational Effectiveness Analysis system and the analytical approach thereof based on emulation that propose.
A kind of parametrization weapon operational Effectiveness Analysis system based on emulation, it is made up of analysis project administration module, index algorithm configuration module, desired value computing module, index results analyses module, analysis report generation module, analytic process administration module, analytical database and simulation data base; The emulated data input end of the emulated data input end of analysis project administration module, index algorithm configuration module links to each other with the first emulated data output terminal to the, the three emulated data output terminals of simulation data base respectively with the emulated data input end of desired value computing module; The first data I/O of the first data I/O of analysis project administration module, the first data I/O of index algorithm configuration module and desired value computing module links to each other with the first data input/output terminal to the, the three data input/output terminals of analytical database respectively; Second data output end of analysis project administration module links to each other with first data input pin of analytic process administration module, and first data output end to the, four data output ends of said analytic process administration module link to each other with second data input pin of index algorithm configuration module, second data input pin of desired value computing module, second data input pin of index results analyses module and second data input pin of analysis report generation module respectively; The second data input/output terminal of said analytic process administration module links to each other with the 3rd data I/O of analytical database; The 5th data I/O of analytical database links to each other with first data input/output terminal of index results analyses module and first data input pin of report generation module respectively with the 6th data I/O.
Adopt the analytical approach of above-mentioned a kind of parametrization weapon operational Effectiveness Analysis system based on emulation, it is realized by following steps:
Step 1: the login analytical database,
Step 2: the analysis project administration module obtains from analytical database and shows existing analysis project information;
Step 3: whether create new analysis project; Be, then in the analysis project administration module, create new analysis project, in the analysis project administration module, open the analysis project of paying close attention to then; , then directly in the analysis project administration module, do not open the analysis project of paying close attention to;
Step 4: analytic process management module records present analysis project information;
Step 5: the present analysis project information M that the desired value computing module obtains from the analytic process administration module;
Step 6: the desired value computing module is according to present analysis project information M, the operational effectiveness indices that from analytical database, has been disposed;
Step 7: whether the operational effectiveness indices that has disposed satisfies analyze demands; Be to get into step 8 after the index of then directly in the desired value computing module, selecting to pay close attention to; Not, then index algorithm configuration module obtains present analysis project information M from the analytic process administration module; Index algorithm configuration module is resolved the data structure of tables of data in the corresponding simulation data base and is supported the operational effectiveness indices configuration according to present analysis project information M; In index algorithm configuration module, dispose index, and be stored in the analytical database; Get into step 8 after the index of in the desired value computing module, selecting to pay close attention to;
Step 8: the desired value computing module obtains the operational effectiveness indices configuration information N that pays close attention to from analytical database;
Step 9: the desired value computing module calculates the operational effectiveness indices value, and is stored in the analytical database according to the emulated data in concern operational effectiveness indices configuration information N and the simulation data base;
Step 10: the index results analyses module obtains present analysis project information M from the analytic process administration module;
Step 11: the index results analyses module is obtained the operational effectiveness indices value according to present analysis project information M from analytical database;
Step 12: the index results analyses module is analyzed index result of calculation, and analysis result is stored in the analytical database;
Step 13: the present analysis project information M that the analysis report generation module obtains from the analysis project administration module;
Step 14: the analysis report generation module obtains analysis result Q according to present analysis project information M from analytical database;
Step 15: the analysis report generation module generates the analysis report of WORD document form according to analysis result Q; Finish.
The described advantage that has following several respects based on the parametrization weapon operational Effectiveness Analysis system of emulation of the application:
(1) realized that emulation experiment data importing, operational effectiveness indices configuration, operational effectiveness indices calculating, the analysis of operational effectiveness indices value and result report the integrated operation of generation;
(2) the index algorithm is not cured, and can be directed against different emulation experiment data and analysis purposes, disposes corresponding index algorithm;
(3) index algorithm and concrete emulation experiment data are separated, and make the index algorithm in the analysis project with identical emulation experiment data structure, to be reused;
(4) the execution flow process of total system is realized that by reasonably supervision each operation steps can review, and guarantees that analytical work efficiently, correctly carry out.
Description of drawings
Fig. 1 is the modular structure synoptic diagram of the parametrization weapon operational Effectiveness Analysis system based on emulation according to the invention; Fig. 2 is the process flow diagram of the analytical approach that adopts said parametrization weapon operational Effectiveness Analysis system based on emulation; Fig. 3 is the hierarchical relationship figure of the corresponding emulation experiment of said parametrization weapon operational Effectiveness Analysis system based on emulation; Fig. 4 is the modular structure synoptic diagram of simulation data base K2; Fig. 5 is the modular structure synoptic diagram of analytical database K1; Fig. 6 is operational effectiveness indices configuration flow figure in the step 7 in the analytical approach of said parametrization weapon operational Effectiveness Analysis system based on emulation; Fig. 7 is an operational effectiveness indices value calculation flow chart in the step 9 in the analytical approach of said parametrization weapon operational Effectiveness Analysis system based on emulation;
Embodiment
Embodiment one: combine Fig. 1 that this embodiment is described, the said a kind of parametrization operational Effectiveness Analysis aid based on emulation experiment of this embodiment is made up of analysis project administration module S1, index algorithm configuration module S2, desired value computing module S3, index results analyses module S4, analysis report generation module S5, analytic process administration module S6, analytical database K1 and simulation data base K2; The emulated data input end of the emulated data input end of analysis project administration module S1, index algorithm configuration module S2 links to each other with the first emulated data output terminal to the, the three emulated data output terminals of simulation data base K2 respectively with the emulated data input end of desired value computing module S3; The first data I/O of the first data I/O of analysis project administration module S1, index algorithm configuration module S2 links to each other with the first data input/output terminal to the, the three data input/output terminals of analytical database K1 respectively with the first data I/O of desired value computing module S3; Second data output end of analysis project administration module S1 links to each other with first data input pin of analytic process administration module S6, and first data output end to the, four data output ends of said analytic process administration module S6 link to each other with second data input pin of index algorithm configuration module S2, second data input pin of desired value computing module S3, second data input pin of index results analyses module S4 and second data input pin of analysis report generation module S5 respectively; The second data input/output terminal of said analytic process administration module S6 links to each other with the 3rd data I/O of analytical database K1; The 5th data I/O of analytical database K1 links to each other with the first data input/output terminal of index results analyses module S4 and first data input pin of report generation module S6 respectively with the 6th data I/O.
Embodiment two: combine Fig. 2 that this embodiment is described, this embodiment is for adopting the analytical approach of the described parametrization operational Effectiveness Analysis aid based on emulation experiment of embodiment one, and it is realized by following steps:
Step 1: login analytical database K1,
Step 2: analysis project administration module S1 obtains from analytical database K1 and shows existing analysis project information;
Step 3: whether create new analysis project; Be, then in analysis project administration module S1, create new analysis project, in analysis project administration module S1, open the analysis project of paying close attention to then; , then directly in analysis project administration module S1, do not open the analysis project of paying close attention to;
Step 4: analytic process administration module S6 record present analysis project information;
Step 5: the present analysis project information M that desired value computing module S3 obtains from analytic process administration module S6;
Step 6: desired value computing module S3 is according to present analysis project information M, the operational effectiveness indices that from analytical database K1, has been disposed;
Step 7: whether the operational effectiveness indices that has disposed satisfies analyze demands; Be to get into step 8 after the index of then directly in desired value computing module S3, selecting to pay close attention to; Not, then index algorithm configuration module S2 obtains present analysis project information M from analytic process administration module S6; Index algorithm configuration module S2 resolves the data structure of tables of data among the corresponding simulation data base K2 and supports the operational effectiveness indices configuration according to present analysis project information M; In index algorithm configuration module S2, dispose index, and be stored among the analytical database K1; Get into step 8 after the index of in desired value computing module S3, selecting to pay close attention to;
Step 8: desired value computing module S3 obtains the operational effectiveness indices configuration information N that pays close attention to from analytical database K1;
Step 9: desired value computing module S3 calculates the operational effectiveness indices value, and is stored among the analytical database K1 according to the emulated data among concern operational effectiveness indices configuration information N and the simulation data base K2;
Step 10: index results analyses module S4 obtains present analysis project information M from analytic process administration module S6;
Step 11: index results analyses module S4 obtains the operational effectiveness indices value according to present analysis project information M from analytical database K1;
Step 12: index results analyses module S4 analyzes index result of calculation, and analysis result is stored among the analytical database K1;
Step 13: the present analysis project information M that analysis report generation module S5 obtains from analysis project administration module S6;
Step 14: analysis report generation module S5 obtains analysis result Q according to present analysis project information M from analytical database K1;
Step 15: analysis report generation module S5 generates the analysis report of WORD document form according to analysis result Q; Finish.
Embodiment three: combine Fig. 6 that this embodiment is described; This embodiment is the said index algorithm configuration of step 7 module S2 according to present analysis project information M with embodiment two differences, resolves the data structure of tables of data among the corresponding simulation data base K2 and supports the operational effectiveness indices configuration; In index algorithm configuration module S2, dispose index, realize by following several steps:
Step 1: from analytic process administration module S6, obtain present analysis project information M;
Step 2:, connect corresponding simulation database K2 according to present analysis project information M;
Step 3: the data structure information I that resolves and obtain tables of data among the simulation data base K2;
Step 4: according to the data structure information I of tables of data, the emulated data D that contains basic data is obtained in configuration;
Step 5: configuration extracts the mode of basic data from emulated data D;
Step 6: the configuration information that will obtain basic data is stored among the analytical database K1;
Step 7: whether also need dispose other basic data; Be then to return step 4; , then do not get into step 8;
Step 8: utilize basic data configuration operational effectiveness indices algorithm;
Step 9: operational effectiveness indices algorithm configuration information stores in analytical database K1, is finished.
Other step is identical with embodiment two.
Embodiment four: combine Fig. 7 that this embodiment is described; This embodiment is that with embodiment two differences the described desired value computing module of step 9 S3 is according to the emulated data among concern operational effectiveness indices configuration information N and the simulation data base K2; Calculate the operational effectiveness indices value, realize by following several steps:
Steps A: from analytical database K1, obtain the operational effectiveness indices algorithm;
Step B: resolve the index algorithm;
Step C: the required basic data collection D of clear and definite parameter value;
Step D: all basic datas among the basic data collection D to be calculated are put into calculating formation P;
Step e: all basic data calculating priority level are set to 1 among the basic data collection D;
Step F: whether basic data depends on other basic datas among the basic data collection D; , then directly from high to low, do not calculate successively and get into step G among the formation P after the basic data value according to calculating priority level; Be then to resolve the direct and indirect dependence of basic data among the basic data collection D; Other basic data that directly or indirectly relies on is put into formation P, and be provided with than being relied on the higher calculating priority level of basic data; According to calculating priority level from high to low, calculate successively among the formation P and to get into step G after the basic data value; Step G: calculate the operational effectiveness indices value according to basic data value among the formation P;
Step H: the operational effectiveness indices value is stored among the analytical database K1; Finish.
Other step is identical with embodiment two.
Like Fig. 3 and shown in Figure 4, simulation data base K2 is used for the storage emulation experimental data, specifically comprises emulation experiment input and output data.For emulated data library structure reasonable in design, as shown in Figure 3 at this hierarchical relationship of analyzing emulation experiment.Each emulation experiment comprises several tests, and test is meant the experiment under certain particular experiment point.If there is uncertain factor in the analogue system, then need under each experimental point, carries out repeatedly simulation run in order to carry out statistical study, otherwise only need move once.Experiment input data are meant the primary data of each test, and experiment output is meant entity and the event information data that each simulation run produces.This shows that for the repeatedly simulation run under each test, they have identical input, but output is different.
Based on above-mentioned analysis, design simulation data storehouse K2, it is as shown in Figure 4 to obtain its structure.Said simulation data base K2 is made up of emulation experiment information data table module T1, l-G simulation test information data table module T2, l-G simulation test input information tables of data module T3, artificial physical information data table module T4 and simulated events information data table module T5.Corresponding relation between said emulation experiment information data table module T1 and the l-G simulation test information data table module T2 adopts the corresponding relation of one-to-many; Corresponding relation between l-G simulation test information data table module T2 and the l-G simulation test input information tables of data module T3 adopts man-to-man corresponding relation; The corresponding relation of l-G simulation test information data table module T2 and artificial physical information data table module T4 adopts the corresponding relation of one-to-many, and the corresponding relation between l-G simulation test information data table module T2 and the simulated events information data table module T5 adopts the corresponding relation of one-to-many.
In conjunction with Fig. 5 explanation; The structural drawing of said parametrization weapon operational Effectiveness Analysis systematic analysis database K1 based on emulation; Tables of data module among this analytical database K1 is mainly formed by storing basic data configuration information module P1, storage operational effectiveness indices algorithm information module P2, the inventory analysis contents of a project and analysis result module P3 and the storage analysis-by-synthesis contents of a project and analysis result module P4: storage basic data configuration information module P1 is used to store the configuration information of basic data, and information wherein is mainly used in description and how from simulation data base K2, obtains basic data; Storage operational effectiveness indices algorithm information module P2 is used to store the operational effectiveness indices algorithm information, calculates operational effectiveness indices if information spinner is wherein described the basic data how to have disposed according to storage basic data configuration information module P1; The inventory analysis contents of a project and analysis result module P3 are used to store certain analysis item goal analysis content and result; The storage analysis-by-synthesis contents of a project and analysis result module P4 are used to store the analysis content and the result of certain analysis-by-synthesis project.Storage basic data configuration information module P1 only relates to obtaining of basic data and operational effectiveness indices or computational logic with the information of storing among the operational effectiveness indices algorithm information module P2, does not relate to concrete value.Therefore, it is shared that wherein information can be had the analysis project institute of same simulated data structure.The data value of the corresponding concrete analysis project of the information among the inventory analysis contents of a project and the analysis result module P3; Desired value wherein is to obtain logic according to index among the storage operational effectiveness indices algorithm information module P2, combines concrete emulation experiment data computation to obtain again.The data value of the corresponding concrete analysis-by-synthesis project of the information among the storage analysis-by-synthesis contents of a project and the analysis result module P4, it is the index result of a plurality of analysis projects among the inventory analysis contents of a project and the analysis result module P3 to be carried out analysis-by-synthesis obtain.
Above content is to combine concrete preferred implementation to the further explain that the present invention did, and can not assert that practical implementation of the present invention is confined to these explanations.For the those of ordinary skill of technical field under this, under the prerequisite that does not break away from the present invention's design, can also make some simple deduction or replace, all should be regarded as belonging to the definite scope of patent protection of claims that the present invention submits to.
Claims (4)
1. parametrization weapon operational Effectiveness Analysis system based on emulation is characterized in that it is made up of analysis project administration module (S1), index algorithm configuration module (S2), desired value computing module (S3), index results analyses module (S4), analysis report generation module (S5), analytic process administration module (S6), analytical database (K1) and simulation data base (K2); The emulated data input end of the emulated data input end of the emulated data input end of analysis project administration module (S1), index algorithm configuration module (S2) and desired value computing module (S3) links to each other with the first emulated data output terminal to the, the three emulated data output terminals of simulation data base (K2) respectively; The first data I/O of the first data I/O of analysis project administration module (S1), the first data I/O of index algorithm configuration module (S2) and desired value computing module (S3) links to each other with the first data input/output terminal to the, the three data input/output terminals of analytical database (K1) respectively; Second data output end of analysis project administration module (S1) links to each other with first data input pin of analytic process administration module (S6), and first data output end to the, four data output ends of said analytic process administration module (S6) link to each other with second data input pin of index algorithm configuration module (S2), second data input pin of desired value computing module (S3), second data input pin of index results analyses module (S4) and second data input pin of analysis report generation module (S5) respectively; The second data input/output terminal of said analytic process administration module (S6) links to each other with the 3rd data I/O of analytical database (K1); The 5th data I/O of analytical database (K1) links to each other with first data input/output terminal of index results analyses module (S4) and first data input pin of analytic process administration module (S6) respectively with the 6th data I/O.
2. adopt the analytical approach of the described a kind of parametrization weapon operational Effectiveness Analysis system based on emulation of claim 1, it is characterized in that it is realized by following steps:
Step 1: login analytical database (K1),
Step 2: analysis project administration module (S1) obtains from analytical database (K1) and shows existing analysis project information;
Step 3: whether create new analysis project; Be, then in analysis project administration module (S1), create new analysis project, in analysis project administration module (S1), open the analysis project of paying close attention to then; , then directly in analysis project administration module (S1), do not open the analysis project of paying close attention to;
Step 4: analytic process administration module (S6) record present analysis project information;
Step 5: the present analysis project information M that desired value computing module (S3) obtains from analytic process administration module (S6);
Step 6: desired value computing module (S3) is according to present analysis project information M, the operational effectiveness indices that from analytical database (K1), has been disposed;
Step 7: whether the operational effectiveness indices that has disposed satisfies analyze demands; Be to get into step 8 after the index of then directly in desired value computing module (S3), selecting to pay close attention to; Not, then index algorithm configuration module (S2) obtains present analysis project information M from analytic process administration module (S6); Index algorithm configuration module (S2) is resolved the data structure of tables of data in the corresponding simulation data base (K2) and is supported the operational effectiveness indices configuration according to present analysis project information M; Configuration index in index algorithm configuration module (S2), and be stored in the analytical database (K1); Get into step 8 after the index of in desired value computing module (S3), selecting to pay close attention to;
Step 8: desired value computing module (S3) obtains the operational effectiveness indices configuration information N that pays close attention to from analytical database (K1);
Step 9: desired value computing module (S3) is according to the emulated data in institute the operational effectiveness indices configuration information N that pays close attention to and the simulation data base (K2), calculating operational effectiveness indices value, and be stored in the analytical database (K1);
Step 10: index results analyses module (S4) obtains present analysis project information M from analytic process administration module (S6);
Step 11: index results analyses module (S4) is obtained the operational effectiveness indices value according to present analysis project information M from analytical database (K1);
Step 12: index results analyses module (S4) is analyzed index result of calculation, and analysis result is stored in the analytical database (K1);
Step 13: the present analysis project information M that analysis report generation module (S5) obtains from analysis project administration module S6;
Step 14: analysis report generation module (S5) obtains analysis result Q according to present analysis project information M from analytical database (K1);
Step 15: analysis report generation module (S5) generates the analysis report of WORD document form according to analysis result Q; Finish.
3. the analytical approach of a kind of parametrization weapon operational Effectiveness Analysis system based on emulation according to claim 2; It is characterized in that the said index algorithm configuration of step 7 module (S2) according to present analysis project information M, resolve the data structure of tables of data in the corresponding simulation data base (K2) and support the operational effectiveness indices configuration; Configuration index in index algorithm configuration module (S2), realized by following several steps:
Step 1: from analytic process administration module (S6), obtain present analysis project information M;
Step 2:, connect corresponding simulation database (K2) according to present analysis project information M;
Step 3: the data structure information I that resolves and obtain tables of data in the simulation data base (K2);
Step 4: according to the data structure information I of tables of data, the emulated data D that contains basic data is obtained in configuration;
Step 5: configuration extracts the mode of basic data from emulated data D;
Step 6: the configuration information that will obtain basic data is stored in the analytical database (K1);
Step 7: whether also need dispose other basic data; Be then to return step 4; , then do not get into step 8;
Step 8: utilize basic data configuration operational effectiveness indices algorithm;
Step 9: operational effectiveness indices algorithm configuration information stores in analytical database (K1), is finished.
4. the analytical approach of a kind of parametrization weapon operational Effectiveness Analysis system based on emulation according to claim 2; It is characterized in that the described desired value computing module of step 9 (S3) according to the emulated data in the operational effectiveness indices configuration information N that pays close attention to and the simulation data base (K2); Calculate the operational effectiveness indices value, realize by following several steps:
Steps A: from analytical database (K1), obtain the operational effectiveness indices algorithm;
Step B: resolve the index algorithm;
Step C: the required basic data collection D of clear and definite parameter value;
Step D: all basic datas among the basic data collection D to be calculated are put into calculating formation P;
Step e: all basic data calculating priority level are set to 1 among the basic data collection D;
Step F: whether basic data depends on other basic datas among the basic data collection D; , then directly from high to low, do not calculate successively and get into step G among the formation P after the basic data value according to calculating priority level; Be then to resolve the direct and indirect dependence of basic data among the basic data collection D; Other basic data that directly or indirectly relies on is put into formation P, and be provided with than being relied on the higher calculating priority level of basic data; According to calculating priority level from high to low, calculate successively among the formation P and to get into step G after the basic data value; Step G: calculate the operational effectiveness indices value according to basic data value among the formation P;
Step H: the operational effectiveness indices value is stored in the analytical database (K1); Finish.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104077456A (en) * | 2014-07-06 | 2014-10-01 | 哈尔滨工业大学 | Method for performance evaluation of spacecraft attitude control ground simulation system |
| CN107832567A (en) * | 2017-12-12 | 2018-03-23 | 哈尔滨工业大学 | A kind of System Effectiveness Cooperative Assessment System and appraisal procedure |
| CN107862166A (en) * | 2017-12-12 | 2018-03-30 | 哈尔滨工业大学 | A kind of intelligent Simulation experiment design system and design method |
| CN109325301A (en) * | 2018-09-30 | 2019-02-12 | 上海机电工程研究所 | Weapon Equipment System efficiency fast Optimization |
| CN109684684A (en) * | 2018-12-07 | 2019-04-26 | 上海机电工程研究所 | Weapon Equipment System efficiency fast Optimization, system and medium |
| CN112836383A (en) * | 2021-02-18 | 2021-05-25 | 江西洪都航空工业集团有限责任公司 | Weapon efficiency modeling method based on target type data correction |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060247859A1 (en) * | 2005-03-31 | 2006-11-02 | British Telecommunications Public Limited Company | Forecasting system tool |
| CN101059810A (en) * | 2007-03-16 | 2007-10-24 | 华为技术有限公司 | System and method for implementing automatic optimization of data base system |
| CN101110034A (en) * | 2007-07-24 | 2008-01-23 | 中国科学院软件研究所 | Method for automatically digging high-performance task in software course task warehouse and system thereof |
| CN102014137A (en) * | 2010-12-13 | 2011-04-13 | 哈尔滨工业大学 | Common distributed data recording device and method based on HLA (high level architecture) |
-
2011
- 2011-11-02 CN CN2011103419189A patent/CN102508963A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060247859A1 (en) * | 2005-03-31 | 2006-11-02 | British Telecommunications Public Limited Company | Forecasting system tool |
| CN101059810A (en) * | 2007-03-16 | 2007-10-24 | 华为技术有限公司 | System and method for implementing automatic optimization of data base system |
| CN101110034A (en) * | 2007-07-24 | 2008-01-23 | 中国科学院软件研究所 | Method for automatically digging high-performance task in software course task warehouse and system thereof |
| CN102014137A (en) * | 2010-12-13 | 2011-04-13 | 哈尔滨工业大学 | Common distributed data recording device and method based on HLA (high level architecture) |
Non-Patent Citations (4)
| Title |
|---|
| 《系统仿真学报》 20110831 焦松、李伟等 "仿真实验数据一体化分析工具研究" 第1734-1738页 1 , * |
| 《舰船电子工程》 20080930 董晓明、石朝明 "一种舰载作战系统体系结构量化评估方法" 第1-4页 1 , * |
| 焦松、李伟等: ""仿真实验数据一体化分析工具研究"", 《系统仿真学报》, 31 August 2011 (2011-08-31), pages 1734 - 1738 * |
| 董晓明、石朝明: ""一种舰载作战系统体系结构量化评估方法"", 《舰船电子工程》, 30 September 2008 (2008-09-30), pages 1 - 4 * |
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