CN105893482B - Engine test data full-automation is extracted and Word report-generating method - Google Patents
Engine test data full-automation is extracted and Word report-generating method Download PDFInfo
- Publication number
- CN105893482B CN105893482B CN201610187165.3A CN201610187165A CN105893482B CN 105893482 B CN105893482 B CN 105893482B CN 201610187165 A CN201610187165 A CN 201610187165A CN 105893482 B CN105893482 B CN 105893482B
- Authority
- CN
- China
- Prior art keywords
- data
- document
- word
- column
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/258—Data format conversion from or to a database
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/10—Text processing
- G06F40/166—Editing, e.g. inserting or deleting
- G06F40/177—Editing, e.g. inserting or deleting of tables; using ruled lines
- G06F40/18—Editing, e.g. inserting or deleting of tables; using ruled lines of spreadsheets
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Probability & Statistics with Applications (AREA)
- Computational Linguistics (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Fuzzy Systems (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Audiology, Speech & Language Pathology (AREA)
- General Health & Medical Sciences (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The present invention provide a kind of engine test data full-automation extract with Word report-generating method, it includes: 1) creation data processing system which, which extracts with Word report-generating method,；2) operating procedure 1) described in system, and relevant database is added in systems；3) data of the dat format of vibration acquisition system acquisition are generated into original txt document；4) acquisition of maximum；5) Word document template is created, the maximum that will acquire is reported by report generation Module Generation Word.This method is for express statistic spectrum maximum and automates generation Word report, gets rid of the limitation that hand labeled maximum carries out numerous operation, while also obtaining good interacting sexual experience, ensure that high efficiency, the reliability of the Test System for Rocket Engine Test data of acquisition.
Description
Technical field
The invention belongs to Aeronautics and Astronautics experimental technique fields, and in particular to a kind of engine test data full-automation mentions
It takes and Word report-generating method.
Background technique
The final purpose of Test System for Rocket Engine Test is to obtain test data.But reliability, the timeliness of data acquisition are fire
Arrow engine test successfully guarantees and makes the necessary condition effectively analyzed with assessment to engine performance.
Currently, vibrating pole in the test data report newly formulated due to the particularity and confidentiality of Test System for Rocket Engine Test
The statistics being worth greatly lacks efficient, standardized processing mode, or relies on manually mode and carry out.The tool of existing manual mode
Body way is: the Desktop-Advanced software of 1. starting LMS Test.Lab Rev 9B, by data engineering text collected
Part is opened.2. it is average that any 1 in N number of parameter (N > 0) under Navigator view in the column Name is dragged to 1 × 1 manually
In frequency spectrum graphics display window.3. the X-axis frequency coordinate range of 1 × 1 average frequency spectrum figure is arranged, then the hand labeled coordinate
Interior maximum writes down the corresponding frequency of the maximum, and a pair of of frequency and maximum is carried out after retaining digit processing, manually
It is filled up in the Word report of production.
The shortcoming of which is: 1) the few then thirty or forty of vibration parameters number are every time tested, it is how then double.Such as 40
A engine parameter, five prominent frequency points of each vibration parameters mark are simultaneously assumed only to handle five sections of frequency spectrums, then have altogether and need statistics manually
1000 points, also need to fill out statistical value in Word report after statistics is good, the time cost for needing to consume as one can imagine, and use soft
Part algorithm controls rapidly and efficiently.2) with statistical data increase hand labeled vibration maximum be easy error and be easy accidentally mark arrive
On power frequency point, and carry out larger inconvenience to postmortem change tape, and rely on the data that the software algorithm write obtains it is accurate, can
It leans on.3) technical staff is unable to the prominent frequency evidence of quick obtaining vibration, is unfavorable for carrying out rapid evaluation and analysis to engine performance.
Summary of the invention
In order to solve the problems in background technique, the present invention provide a kind of engine test data full-automation extract with
Word report-generating method gets rid of the limitation that hand labeled maximum point carries out troublesome operation, solves airspace engine examination
It tests and obtains actual measurement after the very big Data-Statistics of vibration and typesetting low efficiency, data processing be unreliable and test and vibrate prominent frequency according to effect
The low problem of rate.
Specific technical solution of the invention is as follows:
The present invention provides a kind of engine test data full-automation extract with Word report-generating method, including it is following
Step:
1) data processing system is created；The data processing system includes data extraction module, data conversion module, data
Processing module and report generation module；
The data extraction module be used to extract line n parameter name in txt format file and n-th to m row data
Column；The data column include the corresponding column of frequencies of each parameter name, amplitude column, Xiang Weilie；
The data conversion module is used to be converted to the data of txt format the data of csv format；
The data processing module for connection relationship type database and counts original in frequency spectrum section set by user
In txt document parameter corresponding data arrange maximum and write in a new text document；
The maximum that the report generation module is used to will acquire automatically generates Word report；
2) operating procedure 1) described in system, and relevant database is added in systems；
3) data of all dat formats in engine luggine system are acquired and generate original txt document；
4) acquisition of maximum；
4.1) the first transient document is created；The first transient document format is txt format；
4.2) data extraction module is called to extract original txt document line n parameter name and n-th to m row data column, and
It is written in the first transient document；
4.3) call data conversion module that the first transient document is converted to the second transient document of csv format；
4.4) the third transient document that creation data format is csv；Data in second transient document are read in into array line by line
In queue, what each row of data and the method for calling array queue to obtain column data in the second transient document of looping through will acquire has
Effect column are written in third transient document；Effective column include the column of frequencies and width of first parameter name in the second transient document
The amplitude of value column and the 2nd to n-th parameter name arranges；
4.5) the 4th transient document that creation data format is txt；Data extraction module is called to extract original txt text respectively
Data in the parameter name and third transient document of shelves arrange and are written to the 4th transient document；
4.6) temporary data table is created in relevant database；The first of the table structure of the temporary data table is classified as frequency
Rate column, the 2nd is classified as parameter name to N+1；
4.7) data in the 4th transient document are inserted into temporary data table；
4.8) character string dimension is created；Data processing module connects the relevant database, calls data extraction module
Parameter name in the 4th transient document is extracted to be written in character string dimension；The length of the character string dimension is N；
4.9) the resulting text document that creation data format is csv；Circulation n times execute arbitrarily in the temporary data table
The SQL statement of maximum obtains frequency, the result set of amplitude in specified segment, circulation read result set data first row,
Second column data is written in resulting text document；
The segment that is arbitrarily designated refers to the frequency range that user arbitrarily inputs in software interface；
The SQL statement refers to from will be described in step 4.8) under the constraint condition in the section arbitrarily set in tables of data
Character string dimension in maximum value call and seek the constraint that max function screens and generates nested SQL query next time
Condition；And the first constraint condition that the section for arbitrarily setting the constraint condition logical AND of generation is inquired as second, in institute
State the SQL statement for executing enquiry frequency, amplitude in temporary data table as the second constraint condition using frequency as descending sort；
5) Word document is created, the maximum that will acquire is entered into Word document, gives birth to automatically by report generation module
It is reported at Word.
Above-mentioned steps 5) specific step is as follows:
Frequency, the amplitude in the Word document made are replaced with into corresponding placeholder simultaneously using FreeMarker technology
The file for generating .ftl format, can be arbitrarily designated storing path；The file of the .ftl format under the path is read, is read original
Parameter name in txt document writes the first column position specified in Word document, reads frequency, amplitude in resulting text document
Data column write second and third corresponding column of parameter name in Word document respectively, are met by report generation Module Generation and are tried
Test the Word report of requirement.
Above-mentioned data extraction module includes extracting line n data module, extracting n-th to m row data module；
The line n data module of extracting is used to read the line n parameter name in txt document；
It is described to extract n-th and arranged to m row data module for reading in txt document n-th to m row data.
The advantages of invention, is:
1. method provided by the invention will seek rocket engine rumble spectrum extreme value and generate to report that this work is complete
Automation, significantly mitigation data processing personnel burden.
2. data-handling efficiency is greatly improved in method provided by the invention, a such as test run have 40 engine parameters and
Containing three sections of engine operating durations, according to a large amount of actual measurement statistics, working efficiency can be reduced from original at least 6 hours/person-time
To about 3 minutes/person-time, working efficiency can be improved about 120 times.
3. more importantly after the test, method provided by the invention can help data analyst every time
It rapidly and accurately obtains engine to participate in the experiment the vibration data at position, Performance Evaluation and fault diagnosis to engine provide extremely heavy
The reference wanted.
4. ensure that in addition, method provided by the invention, which can will vibrate the accuracy rate that maximum obtains, is increased to 100%
The reliability of test data.
Detailed description of the invention
Fig. 1 is the flow chart of the method for the present invention.
Specific embodiment
The present invention can arbitrarily set to be counted frequency to get rid of the limitation that hand labeled extreme point carries out troublesome operation
Compose maximum section, can get good interacting sexual experience, and guarantee obtain Test System for Rocket Engine Test data high efficiency, can
By property, a kind of method is proposed, as shown in Figure 1, the detailed process of this method is as follows:
Step 1) creates data processing system；The data processing system includes data extraction module, data conversion module, number
According to processing module and report generation module；
Wherein, data extraction module include for extract line n parameter name in txt format file and n-th to m row number
According to column；
Wherein, data column include the corresponding column of frequencies of each character string, amplitude column, Xiang Weilie；Data extraction module includes
Two submodules are to extract line n data module, extract n-th to m row data module respectively；
Specifically, line n data module is extracted to be used to extract the line n parameter name in txt document；It extracts n-th and arrives m row
Data module is arranged for extracting in txt document n-th to m row data.
Data conversion module is used to be converted to the data of txt format the data of csv format；
Data processing module is for connection relationship type database and original txt text is counted in frequency spectrum section set by user
Shelves in parameter corresponding data column maximum and write in a new text document；
The maximum that report generation module is used to will acquire automatically generates Word report；
Step 2) operating procedure 1) described in system, installation java application runs necessary JDK software and simultaneously configures ring
Border variable；And relevant database is added in systems；Wherein it should be understood that relevant database can be MySql number
According to library, Oracle database or SQLServer database or Access database etc. can also be；
The data of the dat format of vibration acquisition system acquisition are generated original txt document by step 3)；Specific practice is: will
The data of the dat format of vibration acquisition system acquisition after obtaining average frequency spectrum to data processing, are selected with its software algorithm
Any M (M≤N) under Navigator view in the column Name in N number of parameter (N > 0) is a, and right button selection Export to- >
Text- > renamed as xxx.txt (i.e. original txt document)
The acquisition of step 4) maximum；
Step 4.1) creates the first transient document；The first transient document format is txt format；
The original txt document line n parameter name of extraction and n-th in step 4.2) calling data extraction module arrive m line number
According to column, and it is written in the first transient document；
Specifically, the line n parameter name in txt document is extracted using line n data module is extracted；Using extracting the
N to m row data module arranges to extract in txt document n-th to m row data.
First transient document is converted to the second transient document of csv format by step 4.3) calling data conversion module；
Specific conversion process are as follows:
It calls and extracts the txt formatted data that line n data module reads the first transient document in data extraction module；It replaces
All " t " in exchange of notes sheet are ", ", and are written in the second transient document；
Step 4.4) creates the third transient document that data format is csv；Data in second transient document are read in line by line
In array queue, loops through each row of data in the second transient document and the method for calling array queue to obtain column data will acquire
It is effective column be written in third transient document；
Wherein, column of frequencies and amplitude column and the 2nd to N including first parameter name in the second transient document are effectively arranged
The amplitude of a parameter name arranges；
Step 4.5) creates the 4th transient document that data format is txt；Data extraction module is called to extract respectively original
The parameter name of txt document and the data in third transient document arrange and are written to the 4th transient document；
Step 4.6) creates temporary data table in relevant database；The first row of the table structure of the temporary data table
Parameter name is classified as to N+1 for frequency, the 2nd；
Data in 4th transient document are inserted into temporary data table by step 4.7)；
Step 4.8) creates character string dimension；Data processing module connects the relevant database, and data is called to extract
Module is extracted parameter name in the 4th transient document and is written in character string dimension；The length of the character string dimension is N；
Step 4.9) creates the resulting text document that data format is csv；Circulation n times execute in the temporary data table
The SQL statement for being arbitrarily designated maximum in segment obtains frequency, the result set of amplitude, and circulation reads the first of result set data
In column, the second column data write-in resulting text document；
Specific practice is:
SQL statement refer to from tables of data under the constraint condition in the section arbitrarily set by word described in step 4.8)
Maximum value in symbol string array, which is called, seeks the constraint item that max function screens and generates nested SQL query next time
Part；And the first constraint condition that the section for arbitrarily setting the constraint condition logical AND of generation is inquired as second, described
Execute the SQL sentence of enquiry frequency, amplitude in temporary data table as the second constraint condition using frequency as descending sort；
It should be understood that needing to inquire record limit to solve the maximum value of amplitude in some cases not only problem
It is set to one；If amplitude data is indicated using scientific notation in initial data, asked to set its final extreme value data precision
Topic, needs in this SQL query setpoint frequency, amplitude number of significant digit.
Step 5) creates Word document, and the maximum that will acquire is entered into Word document, raw by report generation module
It is reported at Word.The specific steps of which are as follows:
Frequency, the amplitude in the Word document made are replaced with into corresponding placeholder simultaneously using FreeMarker technology
The file for generating .ftl format, can be arbitrarily designated storing path；The file of the .ftl format under the path is read, is read original
Parameter name in txt in document, write in Word document specify the first column position, read resulting text document in column of frequencies,
Amplitude column write second and third corresponding column of parameter name in Word document respectively, are met by report generation Module Generation and are tried
Test the Word report of requirement.
Wherein, FreeMarker technology Chinese meaning is the auspicious mark's technology of good fortune, it is the mould write with Java language
Plate engine, it generates text output based on template.
According to the above method, it is prominent dedicated for quick obtaining engine luggine that applicant in this case designs a set of software systems
Frequency simultaneously generates Word report, and specific practice is as follows:
1] user logs on to the full-automatic extraction of the prominent frequency of vibration with after software for composing, clicks in " file system " submenu
Data items are imported, path where original txt document is selected in the dialog box of pop-up, after clicking the Import button, program meeting
Automatically by selected path setting into software systems, the prompt of " importing successfully ... " printed words, otherwise, meeting after importing successfully, are had
There is the prompt for having " importing failure ... " printed words.
2] after initial data imports successfully, " feature extraction " button in " data processing " view is clicked, is compiled using program
The algorithm write handles data.In treatment process, software processes interim key can be shown at " information alert " interface
The type information of link, such as the title and number of parameters of selected parameters, and have processing progress item to show current data
The progress of processing.
3] " generating report " project in " file system " submenu is clicked, it may appear that " generating report " dialog box, in " letter
Breath prompt " interface has " generation is reported successfully ... " prompt, in dialog box after import file name information, clicks " preservation " and presses
After button, dialog box is exited.Report file can be saved to under the same first class catalogue where raw data file.
Claims (3)
1. a kind of engine test data full-automation is extracted and Word report-generating method, which is characterized in that including following step
It is rapid:
1) data processing system is created；The data processing system includes data extraction module, data conversion module, data processing
Module and report generation module；
The data extraction module is used to extract line n parameter name in txt format file and n-th and arranges to the data of m row；It is described
Data column include the corresponding column of frequencies of each parameter name, amplitude column, Xiang Weilie；
The data conversion module is used to be converted to the data of txt format the data of csv format；
The data processing module is for connection relationship type database and original txt text is counted in frequency spectrum section set by user
Shelves in parameter corresponding data column maximum and write in a new text document；
The maximum that the report generation module is used to will acquire automatically generates Word report；
2) operating procedure 1) described in system, and relevant database is added in systems；
3) data of all dat formats in engine luggine system are acquired and generate original txt document；
4) acquisition of maximum；
4.1) the first transient document is created；The first transient document format is txt format；
4.2) it calls data extraction module to extract original txt document line n parameter name and n-th to m row data column, and is written to
In first transient document；
4.3) call data conversion module that the first transient document is converted to the second transient document of csv format；
4.4) the third transient document that creation data format is csv；Data in second transient document are read in into array queue line by line
In, loop through effective column that each row of data and the method for calling array queue to obtain column data will acquire in the second transient document
It is written in third transient document；Effective column include the column of frequencies and amplitude column of first parameter name in the second transient document
And the amplitude of the 2nd to n-th parameter name arranges；
4.5) the 4th transient document that creation data format is txt；Data extraction module is called to extract original txt document respectively
Data in parameter name and third transient document arrange and are written to the 4th transient document；
4.6) temporary data table is created in relevant database；The first of the table structure of the temporary data table is classified as frequency
Column, the 2nd is classified as parameter name to N+1；
4.7) data in the 4th transient document are inserted into temporary data table；
4.8) character string dimension is created；Data processing module connects the relevant database, and data extraction module is called to extract
Parameter name is written in character string dimension in 4th transient document；The length of the character string dimension is N；
4.9) the resulting text document that creation data format is csv；Circulation n times execute in the temporary data table to be arbitrarily designated
The SQL statement of maximum obtains frequency, the result set of amplitude in segment, and circulation reads the first row of result set data, second
Column data is written in resulting text document；
The segment that is arbitrarily designated refers to the frequency range that user arbitrarily inputs in software interface；
The SQL statement refer to from tables of data under the constraint condition in the section arbitrarily set by word described in step 4.8)
Maximum value in symbol string array, which is called, seeks the constraint item that max function screens and generates nested SQL query next time
Part；And the first constraint condition that the section for arbitrarily setting the constraint condition logical AND of generation is inquired as second, described
Execute the SQL statement of enquiry frequency, amplitude in temporary data table as the second constraint condition using frequency as descending sort；
5) Word document is created, the maximum that will acquire is entered into Word document, passes through report generation Module Generation
Word report.
2. engine test data full-automation according to claim 1 is extracted and Word report-generating method, feature
Be: specific step is as follows for the step 5):
Frequency, the amplitude in the Word document made are replaced with into corresponding placeholder and life using FreeMarker technology
At the file of .ftl format, storing path can be arbitrarily designated；The file of the .ftl format under the path is read, is read original
Parameter name in txt document writes the first column position specified in Word document, reads frequency, amplitude data in result document
Column write second and third corresponding column of parameter name in Word document respectively, meet test by report generation Module Generation and want
The Word report asked.
3. engine test data full-automation according to claim 1 or 2 is extracted and Word report-generating method, spy
Sign is: the data extraction module includes extracting line n data module, extracting n-th to m row data module；
The line n data module of extracting is used to extract the line n parameter name in txt document；
It is described to extract n-th and arranged to m row data module for extracting in txt document n-th to m row data.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610187165.3A CN105893482B (en) | 2016-03-29 | 2016-03-29 | Engine test data full-automation is extracted and Word report-generating method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610187165.3A CN105893482B (en) | 2016-03-29 | 2016-03-29 | Engine test data full-automation is extracted and Word report-generating method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105893482A CN105893482A (en) | 2016-08-24 |
| CN105893482B true CN105893482B (en) | 2019-04-23 |
Family
ID=57014031
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610187165.3A Active CN105893482B (en) | 2016-03-29 | 2016-03-29 | Engine test data full-automation is extracted and Word report-generating method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105893482B (en) |
Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108763181A (en) * | 2018-05-24 | 2018-11-06 | 山西百信信息技术有限公司 | A kind of document rapid generation and system |
| CN110851492B (en) * | 2019-10-21 | 2022-11-18 | 西安航天动力研究所 | Method and system for rapidly analyzing mechanical environment test data |
| CN110826020B (en) * | 2019-10-21 | 2023-06-23 | 西安航天动力研究所 | Rapid analysis method and system for thermal test run data of liquid rocket engine |
| CN111639112A (en) * | 2020-06-11 | 2020-09-08 | 中机科(北京)车辆检测工程研究院有限公司 | Detection report data extraction statistical method and system |
| CN113011142B (en) * | 2021-03-11 | 2023-06-27 | 南京信息职业技术学院 | Intelligent Excel document filling system and method based on RPA |
| CN113011143B (en) * | 2021-03-11 | 2023-06-27 | 南京信息职业技术学院 | Word document intelligent reporting system and method based on RPA |
| CN113742913A (en) * | 2021-08-30 | 2021-12-03 | 重庆长安汽车股份有限公司 | Python-based ADAMS post-processing file K & C parameter extraction method and system |
| CN116384341A (en) * | 2022-12-16 | 2023-07-04 | 西安航天动力试验技术研究所 | Engine test data processing method, storage medium and equipment |
| CN116450586B (en) * | 2023-04-13 | 2024-01-26 | 中国人民解放军海军航空大学 | Rocket data analysis method, rocket data analysis system, electronic equipment and computer storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102073926A (en) * | 2010-12-30 | 2011-05-25 | 山东浪潮齐鲁软件产业股份有限公司 | Automatic intelligent briefing generation method |
| CN103399848A (en) * | 2013-06-21 | 2013-11-20 | 西安航天动力试验技术研究所 | Engine test data standardized specific format leading-in processing method |
| US8788536B1 (en) * | 2006-12-28 | 2014-07-22 | Symantec Operating Corporation | Automated dereferencing of electronic communications for archival |
-
2016
- 2016-03-29 CN CN201610187165.3A patent/CN105893482B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8788536B1 (en) * | 2006-12-28 | 2014-07-22 | Symantec Operating Corporation | Automated dereferencing of electronic communications for archival |
| CN102073926A (en) * | 2010-12-30 | 2011-05-25 | 山东浪潮齐鲁软件产业股份有限公司 | Automatic intelligent briefing generation method |
| CN103399848A (en) * | 2013-06-21 | 2013-11-20 | 西安航天动力试验技术研究所 | Engine test data standardized specific format leading-in processing method |
Non-Patent Citations (2)
| Title |
|---|
| WORD试验报告的自动生成;金良锋等;《中国测试技术》;20070731;第33卷(第4期);112-115 |
| 一种试验数据处理软件设计;王文龙等;《火箭推进》;20120229;第38卷(第1期);76-80 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105893482A (en) | 2016-08-24 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105893482B (en) | Engine test data full-automation is extracted and Word report-generating method | |
| Zevin et al. | Gravity Spy: integrating advanced LIGO detector characterization, machine learning, and citizen science | |
| CN102662930B (en) | Corpus tagging method and corpus tagging device | |
| Huebner et al. | A contemporary conceptual framework for initial data analysis | |
| Dalpiaz et al. | On deriving conceptual models from user requirements: An empirical study | |
| CN104572474B (en) | A kind of lightweight location of mistake Implementation Technology based on Dynamic Slicing | |
| Caballero-Hernández et al. | Discovering bottlenecks in a computer science degree through process mining techniques | |
| CN104123138A (en) | Rapid building method for ERP system | |
| Aljawabrah et al. | Automated recovery and visualization of test-to-code traceability (TCT) links: An evaluation | |
| Haji et al. | A web-based management information system for Human resources in selected universities of Duhok Province | |
| Wang et al. | Quantitative analysis of requirements evolution across multiple versions of an industrial software product | |
| Rearden et al. | Modernization enhancements in SCALE 6.2 | |
| CN107894940A (en) | A kind of log analysis device and method | |
| Kim et al. | Design and implementation of HuREX analysis supporting interface for HRA data extraction | |
| Naeem et al. | A multi-level process mining framework for correlating and clustering of biomedical activities using event logs | |
| Satriansyah et al. | Application Prototype Attendance System Garuda Indonesia's Premium Service Assistant Employees Use The Waterfall Model | |
| CN106021380A (en) | Method and device for compiling aircraft technical publication based on maintenance engineering analysis data | |
| Bertalan et al. | Using Transformer Models and Textual Analysis for Log Parsing | |
| Liu | Integrating process mining with discrete-event simulation modeling | |
| Li et al. | Stage-based process performance analysis | |
| Boring et al. | Atomistic and holistic approaches to human reliability analysis in the US nuclear power industry | |
| Park et al. | A Framework to Integrate Human Reliability Data Obtained from Different Sources Based on the Complexity Scores of Proceduralized Tasks | |
| Tripathi et al. | Comparative Study of Data Analytics Tools for Effective Business Decision | |
| Yazici et al. | Normalizing relational database schemas using mathematica | |
| Szeto et al. | ERDRAW: A graphical schema specification tool |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |