CN106650939A - Test data intelligence interpretation method based on knowledge base - Google Patents

Test data intelligence interpretation method based on knowledge base Download PDF

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Publication number
CN106650939A
CN106650939A CN201611023193.8A CN201611023193A CN106650939A CN 106650939 A CN106650939 A CN 106650939A CN 201611023193 A CN201611023193 A CN 201611023193A CN 106650939 A CN106650939 A CN 106650939A
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test
data
module
test data
interpretation
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CN201611023193.8A
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Chinese (zh)
Inventor
胡伟杰
殷楠
聂鑫
刘天丰
李振雨
江阳
蔡连锋
韩喜
潘丽
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No 4 General Design Department Of No 4 Academy Of China Aerospace Science & Industry Corp
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No 4 General Design Department Of No 4 Academy Of China Aerospace Science & Industry Corp
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Priority to CN201611023193.8A priority Critical patent/CN106650939A/en
Publication of CN106650939A publication Critical patent/CN106650939A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computing arrangements using knowledge-based models
    • G06N5/02Knowledge representation; Symbolic representation
    • G06N5/022Knowledge engineering; Knowledge acquisition
    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F42AMMUNITION; BLASTING
    • F42BEXPLOSIVE CHARGES, e.g. FOR BLASTING, FIREWORKS, AMMUNITION
    • F42B35/00Testing or checking of ammunition

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  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Computational Linguistics (AREA)
  • Computing Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention discloses a test data intelligence interpretation method based on a knowledge base. A test data intelligence interpretation system constructed by a test data management module (1), a test data processing module (2), a test knowledge base module (3) and an intelligent interpretation module (4) is included. The test data management module (1) uniformly manages enterprise test data information. The test data processing module (2) processes test data and carries out format conversion. The test knowledge base module (3) automatically calculates a test experience data value according to a test attribute. The intelligent interpretation module (4) automatically interprets test data, carries out feedback and completes intelligent interpretation of the test data based on the knowledge base. In the invention, authenticity, scientificity and effectiveness of test data interpretation are maximumly increased; efficiency and quality of test data interpretation are improved; a data support is provided for rapid fault locating, fault diagnosis and fault processing of a missile weapon system; and reliable usage of the missile weapon system is guaranteed.

Description

A kind of test data intelligent interpretation method in knowledge based storehouse
Technical field
The present invention relates to a kind of test data intelligent interpretation method, particularly a kind of test data intelligence in knowledge based storehouse Interpretation method.
Background technology
With the increase year by year of missile weapon system test mission, test data amount persistently rises, and these test datas are Important reference to the evaluation of missile weapon system performance indications, accident analysis and technological improvement, the test number for holding water It is the necessary guarantee condition that missile weapon system is reliably used according to interpretation.
And with the continuous increase of missile weapon system test data information content, test data broad categories, only by people Work carries out test data interpretation, contrast and checks, and not only workload is big, efficiency is low, time-consuming huge, and easily causes artificial Interpretation omission and deviation, the interpretation degree of accuracy is difficult to control to, therefore traditional artificial interpretation mode cannot meet high density examination Test the demand of task.
Because the mode interpretation work of traditional man-made chamber data interpretation is manually carried out, workload is big and needs to consume Substantial amounts of manpower, and relevance is poor between test data so that and Test Information isolates each other, is unfavorable for that missile weapon system is tested The integrated management of information and analysis.With being continuously increased for high density test mission, test data information content also can be continuously increased, The degree of accuracy of artificial interpretation can be reduced constantly, and this will bring great inconvenience to the interpretation of test data work, while also can Greatly affect the efficiency and accuracy of test data interpretation.
The content of the invention
Present invention aim at providing a kind of test data intelligent interpretation method in knowledge based storehouse, solution is manually entered in the past Workload is big during row test data interpretation, efficiency is low, interpretation omission, the unmanageable problem of the interpretation degree of accuracy.
A kind of test data intelligent interpretation method in knowledge based storehouse is concretely comprised the following steps:
The first step builds test data intelligent interpretation system
Test data intelligent interpretation system, including:Data Management module, experimental data processing module, test knowledge Library module and intelligent interpretation module.
The function of data Management module is:Unified management enterprise test data information, including:Test attribute information and Test data, to the test attribute information of subjects, test type and trystate Unified coding management is carried out, and will test Data message is sent to experimental data processing module.
The function of experimental data processing module is:To the test data information that gets according to experimental data processing module Rule carries out data processing and Data Format Transform, and gives test knowledge base mould by the test data information pushing after conversion is processed Block.
Test base module function be:Receive testing standard data and test that experimental data processing module is pushed Attribute information, by the subjects, test type, the corresponding historical test data of trystate in test knowledge base according to movement Average algorithm calculates a test empirical data value, and is pushed to intelligent interpretation module.
The function of intelligent interpretation module is:Diagnostic rule according to intelligent interpretation module is sentenced automatically to test data Read, provide overproof conclusion, improve the efficiency and accuracy of test data interpretation.
Data Management module is connected with experimental data processing module, experimental data processing module with test knowledge base mould Block is connected, and test base module is connected with intelligent interpretation module, and intelligent interpretation module is known with data Management module, test Know library module to be connected.
Second step data Management module unified management enterprise test data information
Data Management module is managed collectively to enterprise's test data information, including:Test attribute information and examination Data are tested, Unified coding management is carried out to the test attribute information of subjects, test type, trystate, and number will be tested It is believed that breath is sent to experimental data processing module.
3rd step experimental data processing resume module test data go forward side by side row format conversion
Experimental data processing module obtains the test data information that data Management module sends, by test data according to The rule of test process module carries out data processing, and is converted to the test data form of standard, with guarantee test knowledge base mould Block can be received and correctly parse test data, then will be processed the test data information pushing after conversion and given test knowledge base mould Block.
4th step tests base module and calculates test empirical data value automatically according to test attribute
Test base module obtains the test data information after the process conversion that experimental data processing module is pushed, and will try Test the corresponding historical test data of the subjects, test type, trystate in knowledge base to calculate according to rolling average algorithm Go out a test empirical data value, and intelligent interpretation module is given by test empirical data and test data information pushing.
5th step intelligent interpretation module carries out automatic interpretation to test data and feeds back
Intelligent interpretation module receives test empirical data and the test data information that test base module is pushed, according to The diagnostic rule of intelligent interpretation module carries out automatic interpretation, i.e.,:Testing standard data after conversion is processed are in test experience number During according in the threshold range that value is allowed, choose test empirical data value and fluctuate 5% for threshold range, then by the testing standard Data are sent in pairs test base module and store in pairs in knowledge base with test attribute information, and sentence read result is marked For qualified, and sentence read result is automatically fed to into data Management module;Testing standard data after conversion is processed do not exist When in the threshold range that test empirical data value is allowed, then by the testing standard rejection of data, sentence read result is labeled as it is overproof, And sentence read result is automatically fed to into data Management module.
So far, the intelligent interpretation of the test data in knowledge based storehouse is completed.
A kind of test data intelligent interpretation method in knowledge based storehouse according to the present invention, employs to test data information Unified coding management is carried out, data processing is carried out to the test data after coding and the test data form of standard is converted to, it is right Process conversion after testing standard data according to rolling average algorithm calculate test empirical data value, to testing standard data with Test empirical data carries out the mode of automatic interpretation according to diagnostic rule, and the true of test data interpretation is improve to greatest extent Property, science, validity, improve the efficiency and quality of test data interpretation, be missile weapon system fast failure positioning, therefore Barrier diagnosis and troubleshooting provide data supporting, and the reliability for having ensured missile weapon system is used, and is satisfactorily to complete high density Test mission provides powerful support.
Description of the drawings
A kind of schematic diagram of the test data intelligent interpretation method in knowledge based storehouses of Fig. 1.
1. the experimental data processing module of data Management module 2.
3. the intelligent interpretation module of base module 4. is tested
Specific embodiment
A kind of test data intelligent interpretation method in knowledge based storehouse is concretely comprised the following steps:
The first step builds test data intelligent interpretation system
Test data intelligent interpretation system, including:Data Management module 1, experimental data processing module 2, test are known Know library module 3 and intelligent interpretation module 4.
The function of data Management module 1 is:Unified management enterprise test data information, including:Test attribute information And test data, Unified coding management is carried out to the test attribute information of subjects, test type and trystate, and will examination Test data message and be sent to experimental data processing module 2.
The function of experimental data processing module 2 is:To the test data information that gets according to experimental data processing module 2 Rule carry out data processing and Data Format Transform, and the test data information pushing after conversion will be processed give test knowledge base Module 3.
Test base module 3 function be:Receive testing standard data and examination that experimental data processing module 2 is pushed Attribute information is tested, by the subjects, test type, the corresponding historical test data of trystate in test knowledge base according to shifting Dynamic average algorithm calculates a test empirical data value, and is pushed to intelligent interpretation module 4.
The function of intelligent interpretation module 4 is:Diagnostic rule according to intelligent interpretation module 4 is sentenced automatically to test data Read, provide overproof conclusion, improve the efficiency and accuracy of test data interpretation.
Data Management module 1 is connected with experimental data processing module 2, experimental data processing module 2 with test knowledge Library module 3 is connected, and test base module 3 is connected with intelligent interpretation module 4, intelligent interpretation module 4 and data Management mould Block 1, test base module 3 are connected.
The unified management of second step data Management module 1 enterprise test data information
Data Management module 1 is managed collectively to enterprise's test data information, including:Test attribute information and examination Data are tested, Unified coding management is carried out to the test attribute information of subjects, test type, trystate, and number will be tested It is believed that breath is sent to experimental data processing module 2.
3rd step experimental data processing module 2 process test data go forward side by side row format conversion
Experimental data processing module 2 obtains the test data information that data Management module 1 sends, and test data is pressed Data processing is carried out according to the rule of test process module 2, and be converted to the test data form of standard, with guarantee test knowledge base Module 3 can be received and correctly parse test data, then will be processed the test data information pushing after conversion and given test knowledge Library module 3.
4th step tests base module 3 and calculates test empirical data value automatically according to test attribute
Test base module 3 obtains the test data information after the process conversion that experimental data processing module 2 is pushed, will The subjects, test type, the corresponding historical test data of trystate are according to rolling average algorithm meter in test knowledge base A test empirical data value is calculated, and empirical data and test data information pushing will be tested to intelligent interpretation module 4.
5th step intelligent interpretation module 4 carries out automatic interpretation to test data and feeds back
Intelligent interpretation module 4 receives test empirical data and the test data information that test base module 3 is pushed, and presses Automatic interpretation is carried out according to the diagnostic rule of intelligent interpretation module 4, i.e.,:Testing standard data after conversion is processed are in test experience When in the threshold range that data value is allowed, choose test empirical data value and fluctuate 5% for threshold range, then by the test mark Quasi- data are sent in pairs test base module 3 and store in pairs in knowledge base with test attribute information, by sentence read result It is qualified to be labeled as, and sentence read result is automatically fed to into data Management module 1;Testing standard data after conversion is processed Not when testing in the threshold range that empirical data value is allowed, then by the testing standard rejection of data, sentence read result is labeled as It is overproof, and sentence read result is automatically fed to into data Management module 1.
So far, the intelligent interpretation of the test data in knowledge based storehouse is completed.

Claims (1)

1. a kind of test data intelligent interpretation method in knowledge based storehouse, it is characterised in that concretely comprise the following steps:
Test data intelligent interpretation system, including:Data Management module (1), experimental data processing module (2), test
The first step builds test data intelligent interpretation system
The function of data Management module (1) is:Unified management enterprise test data information, including:Test attribute information and Base module (3) and intelligent interpretation module (4);
Test data, to the test attribute information of subjects, test type and trystate Unified coding management is carried out, and will Test data information is sent to experimental data processing module (2);
The function of experimental data processing module (2) is:To the test data information that gets according to experimental data processing module (2) Rule carry out data processing and Data Format Transform, and the test data information pushing after conversion will be processed give test knowledge base Module (3);
Test base module (3) function be:Receive testing standard data and examination that experimental data processing module (2) is pushed Attribute information is tested, by the subjects, test type, the corresponding historical test data of trystate in test knowledge base according to shifting Dynamic average algorithm calculates a test empirical data value, and is pushed to intelligent interpretation module (4);
The function of intelligent interpretation module (4) is:Diagnostic rule according to intelligent interpretation module (4) is sentenced automatically to test data Read, provide overproof conclusion, improve the efficiency and accuracy of test data interpretation;
Data Management module (1) is connected with experimental data processing module (2), and experimental data processing module (2) is known with test Know library module (3) be connected, test base module (3) be connected with intelligent interpretation module (4), intelligent interpretation module (4) and test Data management module (1), test base module (3) are connected;
Second step data Management module (1) unified management enterprise test data information
Data Management module (1) is managed collectively to enterprise's test data information, including:Test attribute information and test Data, to the test attribute information of subjects, test type, trystate Unified coding management is carried out, and by test data Information is sent to experimental data processing module (2);
3rd step experimental data processing module (2) process test data go forward side by side row format conversion
Experimental data processing module (2) obtains data Management module (1
Rule according to test process module (2) carries out data processing, and is converted to the test data form of standard, to ensure examination Test base module (3) to receive and correctly parse test data, then will process the test data information pushing after conversion to examination Test base module (3);
4th step test base module (3) calculates test empirical data value automatically according to test attribute
Test base module (3) obtains the test data information after the process conversion that experimental data processing module (2) is pushed, will The subjects, test type, the corresponding historical test data of trystate are according to rolling average algorithm meter in test knowledge base A test empirical data value is calculated, and intelligent interpretation module (4) is given by test empirical data and test data information pushing;
5th step intelligent interpretation module (4) carries out automatic interpretation to test data and feeds back
Intelligent interpretation module (4) receives test empirical data and the test data information that test base module (3) is pushed, and presses Automatic interpretation is carried out according to the diagnostic rule of intelligent interpretation module (4), i.e.,:Testing standard data after conversion is processed are in test Jing When testing in the threshold range of data value permission, choose test empirical data value and fluctuate 5% for threshold range, then test this Normal data is sent in pairs test base module (3) and stores in pairs in knowledge base with test attribute information, by interpretation Result queue is qualified, and sentence read result is automatically fed to into data Management module (1);Test mark after conversion is processed Quasi- data not when testing in the threshold range that empirical data value is allowed, then by the testing standard rejection of data, by sentence read result It is labeled as overproof, and sentence read result is automatically fed to into data Management module (1);
So far, the intelligent interpretation of the test data in knowledge based storehouse is completed.
CN201611023193.8A 2016-11-21 2016-11-21 Test data intelligence interpretation method based on knowledge base Pending CN106650939A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111104535A (en) * 2019-11-20 2020-05-05 中国第一汽车股份有限公司 Data management system and data management method
CN112579668A (en) * 2020-12-15 2021-03-30 北京动力机械研究所 Intelligent interpretation method and device based on big data

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101532853A (en) * 2009-04-21 2009-09-16 北京国科环宇空间技术有限公司 Automatic interpretation method and device
CN102310950A (en) * 2010-07-09 2012-01-11 北京锐峰协同科技股份有限公司 Experiment intelligent interpretation system and method
CN102722638A (en) * 2012-05-17 2012-10-10 蔡远文 Method for carrying out data interpretation on a plurality of signals
CN104408050A (en) * 2014-10-28 2015-03-11 北京临近空间飞行器***工程研究所 Online automatic interpretation system and method of test data
CN104597854A (en) * 2013-10-30 2015-05-06 北京临近空间飞行器***工程研究所 Automatic interpretation system and automatic interpretation method for telemetry data batch processing

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101532853A (en) * 2009-04-21 2009-09-16 北京国科环宇空间技术有限公司 Automatic interpretation method and device
CN102310950A (en) * 2010-07-09 2012-01-11 北京锐峰协同科技股份有限公司 Experiment intelligent interpretation system and method
CN102722638A (en) * 2012-05-17 2012-10-10 蔡远文 Method for carrying out data interpretation on a plurality of signals
CN104597854A (en) * 2013-10-30 2015-05-06 北京临近空间飞行器***工程研究所 Automatic interpretation system and automatic interpretation method for telemetry data batch processing
CN104408050A (en) * 2014-10-28 2015-03-11 北京临近空间飞行器***工程研究所 Online automatic interpretation system and method of test data

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111104535A (en) * 2019-11-20 2020-05-05 中国第一汽车股份有限公司 Data management system and data management method
CN112579668A (en) * 2020-12-15 2021-03-30 北京动力机械研究所 Intelligent interpretation method and device based on big data

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