CN104123306B - A kind of data file generation method of the unmanned intelligent drives based on historical analysis - Google Patents
A kind of data file generation method of the unmanned intelligent drives based on historical analysis Download PDFInfo
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Abstract
The data file generation method for the unmanned intelligent drives based on historical analysis that the present invention relates to a kind of, steps are as follows: 1) generating simulator using isomorphism data and generate analogue data；2) analogue data is extracted using XML file generator, generates XML file；3) the formation efficiency parameter that record extracts analogue data, generates each XML file in knowledge analysis database；4) each quantitative series is executed into time shortest formation efficiency parameter as execution standard according to XML file is generated, actual environment data pick-up is carried out based on execution standard and generates XML file.Simulator, which is generated, by using isomorphism data generates analogue data, the simulation of true environment data pick-up is carried out using XML file generator, the implementing result of whole process is then recorded, tentatively establishes knowledge base, using the highest model of efficiency as reference standard, the preliminary high efficiency for realizing data pick-up；And data analysis mining technology is used, knowledge base is constantly improve, the efficiency of data pick-up is stepped up.
Description
Technical field
The present invention relates to a kind of data pick-up methods, more specifically to a kind of unmanned intelligence based on historical analysis
The data file generation method of driving.
Background technique
The mode of general data pick-up is broadly divided into two kinds: one is extract the data needed then from database
Transmission is carried out by binary data stream to be then stored in other databases.Another kind is the number that needs are extracted from database
It is stored in the form of text file onto hard disk according to storage.
It is stored in the form of text file to method this on hard disk for being stored from the data for extracting needs in database,
Technically there is a disadvantage in it: when there is all new data write-ins of magnanimity daily of the data Table A table in database, and
The order of magnitude etc..If the data of increment are written in the same text file object simultaneously, this text file
The occupied memory space of object will become very huge, and the storage efficiency and file transmission efficiency to file all have one
Restriction produces bottleneck to the efficiency of data pick-up.
Summary of the invention
It is an object of the invention to overcome the deficiencies of the prior art and provide a kind of feelings in magnanimity new data write-in database
Under condition, the unmanned intelligence based on historical analysis for being able to ascend the efficiency that mass data extracted and be stored as XML format file is driven
Dynamic data file generation method.
Technical scheme is as follows:
A kind of data file generation method of the unmanned intelligent drives based on historical analysis, steps are as follows:
1) simulator is generated using isomorphism data generate analogue data；
2) analogue data is extracted using XML file generator, generates XML file；
3) the formation efficiency parameter that record extracts analogue data, generates each XML file in knowledge analysis database；
4) each quantitative series is executed into time shortest formation efficiency parameter as execution standard according to generating XML file,
Actual environment data pick-up is carried out based on execution standard and generates XML file.
Preferably, step 4) is further, by actual environment data pick-up, the formation efficiency parameter of generation XML file
Storage accumulation is carried out, waiting judges that each quantitative series executes time shortest formation efficiency ginseng according to XML file is generated next time
Number, determines new execution standard.
Preferably, the step of step 1), is as follows:
1.1) increase data source newly: analog service database generates data source in simulated database；
1.2) increase isomorphism tables of data newly: the tables of data of isomorphism is wanted in selection under the data source increased newly in step 1.1), is gone forward side by side
Row isomorphism operates, and is newly-increased data item information under isomorphism tables of data；
1.3) generate analogue data: the data recording number to be generated under selection isomorphism tables of data generates analogue data operation.
Preferably, the step of step 2, is as follows:
2.1) connection isomorphism data generate the newly-increased data source of simulator；
2.2) selection needs data source, the tables of data generated, inputs data total number, the data file paging number of extraction,
Generate XML file.
Preferably, data total number and/or data page number are configured as circulation increment mode, wherein data page
Several incremented circulations is included in the incremented circulation of data total number.
Preferably, formation efficiency parameter described in step 3) includes:
It is consumed when generation, i.e., generates the time of consumption the analogue data extracted since simulated database to XML file；
Total time started is generated, i.e., when previous current data table extracts the data time started；
Total end time is generated, i.e., when previous current data table extracts the end of data time；
XML file name；
Extract the time started, i.e., data from database retrieval come out at the beginning of；
Extract end time, i.e. end time of the data from database retrieval out；
The time started is generated, i.e., at the beginning of generation XML file；
The end time is generated, i.e. the time at the end of generation XML file；
File record number, i.e., the data that current XML file is included；
File size, i.e., the size of current XML file disk space shared after generating.
Preferably, each quantitative series according to XML file is generated is taken out by loop configuration or automatic cycle in step 4)
Take configuration complete data pick-up, circulation step 1) to step 3) data pick-up generate XML file.
Preferably, the tables of data extracted has N(N≤M of the M order of magnitude) a paging information, consume when extracting, file is deposited
Store up space size.
Preferably, there is design in simulated database:
" analogue data table parameter configuration " main table of information, content are as follows:
| Explanation of field |
| The main table major key GUID of the main table unique identification information of information |
| The main table database-name of information is used to indicate the database-name of duplication isomorphism |
| The main table database address of information is used to indicate the address of database |
| The main table data table name of information is used to indicate the data table name of duplication isomorphism |
For " analogue data table parameter configuration " information from table, content is as follows:
| Field | Explanation |
| Information is associated with external key from table | The main table major key of analogue data table parameter configuration |
| Information is from table unique identification | Information is from table major key GUID |
| Information is from table data table name | The title of tables of data to be simulated |
| Information is from the table total number of records | The total number of records of the current tables of data |
Preferably, there is design in knowledge analysis database:
The main table of file generated historical record, content are as follows:
File generated log history sublist, content are as follows:
Data recording number grade dimension table, content are as follows:
| Field | Explanation |
| Dimension table major key | From increasing ordered series of numbers |
| Natural sequence | Increase certainly since 0 by 1 |
| Dimension table data grade | More the order of magnitude carries out grade classification, is defined according to actual traffic data amount |
Knowledge base information table, content are as follows:
Beneficial effects of the present invention are as follows:
Simulator is generated by using isomorphism data and generates analogue data, carries out true environment using XML file generator
Data pick-up simulation, then records the implementing result of whole process, tentatively establishes knowledge base, is reference with the highest model of efficiency
Standard, the preliminary high efficiency for realizing data pick-up；And data analysis mining technology is used, knowledge base is constantly improve, is stepped up
The efficiency of data pick-up.
Detailed description of the invention
Fig. 1 is the schematic diagram of method of the present invention.
Specific embodiment
The present invention is further described in detail with reference to the accompanying drawings and embodiments.
A kind of data file generation method of the unmanned intelligent drives based on historical analysis, steps are as follows:
1) simulator is generated using isomorphism data generate analogue data；
2) analogue data is extracted using XML file generator, generates XML file；
3) the formation efficiency parameter that record extracts analogue data, generates each XML file in knowledge analysis database；
4) each quantitative series is executed into time shortest formation efficiency parameter as execution standard according to generating XML file,
Actual environment data pick-up is carried out based on execution standard and generates XML file.
Step 4) further, by the formation efficiency parameter of actual environment data pick-up, generation XML file carries out storage product
Tire out, waiting judges that each quantitative series executes time shortest formation efficiency parameter according to XML file is generated next time, determines newly
Execution standard.
The step of step 1), is as follows:
1.1) increase data source newly: analog service database generates data source in simulated database；
1.2) increase isomorphism tables of data newly: the tables of data of isomorphism is wanted in selection under the data source increased newly in step 1.1), is gone forward side by side
Row isomorphism operates, and is newly-increased data item information under isomorphism tables of data；
1.3) generate analogue data: the data recording number to be generated under selection isomorphism tables of data generates analogue data operation.
The step of step 2, is as follows:
2.1) connection isomorphism data generate the newly-increased data source of simulator；
2.2) selection needs data source, the tables of data generated, inputs data total number, the data file paging number of extraction,
Generate XML file.
Data total number and/or data page number are configured as circulation increment mode, wherein the incremental of data page number follows
Ring is included in the incremented circulation of data total number.
Formation efficiency parameter described in step 3) includes:
It is consumed when generation, i.e., generates the time of consumption the analogue data extracted since simulated database to XML file；
Total time started is generated, i.e., when previous current data table extracts the data time started；
Total end time is generated, i.e., when previous current data table extracts the end of data time；
XML file name；
Extract the time started, i.e., data from database retrieval come out at the beginning of；
Extract end time, i.e. end time of the data from database retrieval out；
The time started is generated, i.e., at the beginning of generation XML file；
The end time is generated, i.e. the time at the end of generation XML file；
File record number, i.e., the data that current XML file is included；
File size, i.e., the size of current XML file disk space shared after generating.
Each quantitative series is to extract configuration by loop configuration or automatic cycle to complete according to XML file is generated in step 4)
Data pick-up, circulation step 1) to step 3) data pick-up generate XML file.
The tables of data of extraction has N(N≤M of the M order of magnitude) a paging information, consume when extracting, file storage it is big
It is small.M order of magnitude indicates the record strip number for the data to be extracted, N(N≤M) indicate to isolate data when data are carried out at paging
Reason, than if any then N=10 of 10000 every page of data 1000.
As shown in Figure 1, method of the present invention is based in fact with lower module:
One, simulated database: have analogue data storage, search function.
Two, isomorphism data generate simulator: connection service database has through operation interface with acquisition and duplication service
The structure of tables of data generates the data list structure, setting in simulated database and simulates the function of generating the order of magnitude of data,
The tool further includes that the incremental mechanism of cycle intelligent is completed every time by the way that the incremental every time order of magnitude and cycle-index is arranged
Data carry out unattended circulate operation after being incremented by.By job scheduling using above functions according to the data list structure replicated
The data filling for carrying out data element maximum width, according to this as analogue data.
Three, XML file generator: being connected with simulated database, and the note of each XML file object is configured by operation interface
It records number and carries out file generated operation, and record the XML object total number for generating time and whole process generation of each file
It is consumed with total time "；
Knowledge analysis database: the information storage that the process that physical simulation data generate XML file generates, including tables of data
Structure generates the data total number of records of XML file object according to the record number for being included, each XML of, each XML file object
File object generate when consumption, all XML file objects generate total files and it is total when consume.
Table design of the method for the present invention in above-mentioned module is as follows:
" analogue data table parameter configuration " main table of information, content are as follows:
| Field | Explanation |
| The main table unique identification of information | The main table major key GUID of information |
| The main table database-name of information | For indicating the database-name of duplication isomorphism |
| The main table database address of information | For indicating the address of database |
| The main table data table name of information | For indicating the data table name of duplication isomorphism |
For " analogue data table parameter configuration " information from table, content is as follows:
| Field | Explanation |
| Information is associated with external key from table | The main table major key of analogue data table parameter configuration |
| Information is from table unique identification | Information is from table major key GUID |
| Information is from table data table name | The title of tables of data to be simulated |
| Information is from the table total number of records | The total number of records of the current tables of data |
There is design in knowledge analysis database:
The main table of file generated historical record, content are as follows:
File generated log history sublist, content are as follows:
Data recording number grade dimension table, content are as follows:
| Field | Explanation |
| Dimension table major key | From increasing ordered series of numbers |
| Natural sequence | Increase certainly since 0 by 1 |
| Dimension table data grade | More the order of magnitude carries out grade classification, is defined according to actual traffic data amount |
Knowledge base information table, content are as follows:
Major key in above-mentioned each table is not the same value, is generated with GUID, globally unique identifier (GUID,
Globally Unique Identifier) it is also referred to as UUID (Universally Unique IDentifier).GUID is one
The numeric identifier that kind is 128 by the binary length that algorithm generates.GUID is mainly used for possessing multiple nodes, Duo Taiji
In the network or system of calculation machine.The format of GUID is " xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx ", x therein
It is 32 hexadecimal numbers within the scope of 0-9 or a-f.In the ideal case, any computer and computer cluster be not
Two identical GUID can be generated.
Specific step is as follows for method of the present invention:
1, simulator being generated using isomorphism data and generating analogue data, user generates simulator using isomorphism data and generates mould
Quasi- data, comprising:
(1) data source control
1. newly-increased data source: initially entering data source administration interface, increase interface newly subsequently into newly-increased data source, inputting
Then database IP address and port select the database-name to be increased newly, in self-defining data in database drop-down list
Self-defining data library name is inputted in library name input frame, finally completes the newly-increased operation of data source.
2. deleting data source: the data source to be deleted is selected in data source list administration interface, completes label delete operation,
If cancelled, upper level operation can return to.
(2) isomorphism management data table
1. newly-increased isomorphism tables of data: at the management of data element interface, the data source list where the tables of data of isomorphism is wanted in expansion
, selection is carried out in expansion item and wants the data table object of isomorphism one or more, is then completed the isomorphism operation of tables of data, is obtained
To newly-increased data item information.
2. deleting data table object, in tables of data list items, the data table object to be deleted is selected, label is completed and deletes
Operation can return to upper level operation if cancelled.
(3) analogue data is generated
1. generating analogue data: entering the operation interface for generating analogue data, the data recording number to be generated is arranged, carry out
Analogue data generates operation, also has the permission for all record numbers for deleting the isomorphism tables of data.
2, analogue data is extracted using XML file generator, generates XML file, comprising:
(1) the newly-increased data source information of isomorphism digital simulation generator is connected with port numbers by configuring IP address；
(2) on the basis of connection data source is successful, data source, tables of data are successively selected；
(3) data total number, the data file paging number of input extraction, wherein total number and data page number can match
It is set to circulation increment mode, paging number circulation is included in the incremented circulation of total number, completes configuration；
(4) selection will carry out the record of file extraction in XML file Object Management group list, carry out data pick-up and record
At the beginning of extraction；
(5) whenever generating an XML file, consumption when system can all record XML file name in data extraction process, generate
The time started is extracted, the end time is extracted, generates the time started, generates end time, file record number, document size information simultaneously
It stores in knowledge analysis database；
(6) it until entire data pick-up and generates XML process ends with system and will record the end time, and according to the time started
The when consumption for recording whole process is stored into data；
(7) configuration is extracted by loop configuration or enabling automatic cycle and completes the decimated of each order of magnitude of data pick-up
Journey, the data pick-up for repeating (1)~(6) generate the process of XML, and a large amount of data note will be generated in knowledge analysis database
Record number, have M order of magnitude N(N≤M for the tables of data of extraction) a paging information, consume when extracting, file storage it is big
It is small.
3, data analysis mining improves knowledge base
(1) data point are carried out using file generated log history sublist as true table associated data record number grade dimension table
Analysis, from analysis above, we disappear the time of extraction process of the available each order of magnitude according to paging execution of different sizes
Consumption；
(2) it extracts each order of magnitude and executes time shortest data result progress knowledge base storage, as actual environment number
According to the reference of extraction；
(3) real data extraction process carries out data pick-up by obtaining the paging scheme stored in knowledge base, and will behaviour
The result of work stores in knowledge base together is accumulated, and data next time is waited to analyze；
(4) knowledge base of above step gradual perfection data extraction process is repeated, gradually the intelligent drives of strengthen the system, reach
The efficiency of data pick-up is improved to the when consumption for reducing data pick-up.
Above-described embodiment is intended merely to illustrate the present invention, and is not used as limitation of the invention.As long as according to this hair
Bright technical spirit is changed above-described embodiment, modification etc. will all be fallen in the scope of the claims of the invention.
Claims (9)
1. a kind of data file generation method of the unmanned intelligent drives based on historical analysis, which is characterized in that steps are as follows:
1) simulator is generated using isomorphism data generate analogue data；
2) analogue data is extracted using XML file generator, generates XML file；
3) the formation efficiency parameter that record extracts analogue data, generates each XML file in knowledge analysis database；
4) each quantitative series is executed into time shortest formation efficiency parameter as execution standard according to XML file is generated, be based on
Execution standard carries out actual environment data pick-up and generates XML file；Further, by actual environment data pick-up, generation XML
The formation efficiency parameter of file carries out storage accumulation, waiting judges each quantitative series according to XML file execution is generated next time when
Between shortest formation efficiency parameter, determine new execution standard.
2. the data file generation method of the unmanned intelligent drives according to claim 1 based on historical analysis, feature
It is, the step of step 1) is as follows:
1.1) increase data source newly: analog service database generates data source in simulated database；
1.2) increase isomorphism tables of data newly: the tables of data of isomorphism is wanted in selection under the data source increased newly in step 1.1), and is carried out same
Structure operates, and is newly-increased data item information under isomorphism tables of data；
1.3) generate analogue data: the data recording number to be generated under selection isomorphism tables of data generates analogue data operation.
3. the data file generation method of the unmanned intelligent drives according to claim 1 based on historical analysis, feature
It is, the step of step 2) is as follows:
2.1) connection isomorphism data generate the newly-increased data source of simulator；
2.2) selection needs data source, the tables of data generated, inputs data total number, the data file paging number of extraction, generates
XML file.
4. the data file generation method of the unmanned intelligent drives according to claim 3 based on historical analysis, feature
It is, data total number and/or data page number are configured as circulation increment mode, wherein the incremented circulation of data page number
In the incremented circulation of data total number.
5. the data file generation method of the unmanned intelligent drives according to claim 1 based on historical analysis, feature
It is, formation efficiency parameter described in step 3) includes:
It is consumed when generation, i.e., generates the time of consumption the analogue data extracted since simulated database to XML file；
Total time started is generated, i.e., when previous current data table extracts the data time started；
Total end time is generated, i.e., when previous current data table extracts the end of data time；
XML file name；
Extract the time started, i.e., data from database retrieval come out at the beginning of；
Extract end time, i.e. end time of the data from database retrieval out；
The time started is generated, i.e., at the beginning of generation XML file；
The end time is generated, i.e. the time at the end of generation XML file；
File record number, i.e., the data that current XML file is included；
File size, i.e., the size of current XML file disk space shared after generating.
6. the data file generation method of the unmanned intelligent drives according to claim 1 based on historical analysis, feature
It is, each quantitative series is to extract configuration by loop configuration or automatic cycle to complete number according to XML file is generated in step 4)
According to extraction, circulation step 1) to step 3) data pick-up generate XML file.
7. the data file generation method of the unmanned intelligent drives according to claim 6 based on historical analysis, feature
It is, consumption, file storage size when the tables of data of extraction has N number of paging information of the M order of magnitude, extracts, wherein N
≤ M, M indicate the data to be extracted record strip number, N indicate isolate data when by data carry out paging processing number of pages.
8. the data file generation method of the unmanned intelligent drives according to claim 1 based on historical analysis, feature
It is, there is design in simulated database:
" analogue data table parameter configuration " main table of information, content are as follows:
For " analogue data table parameter configuration " information from table, content is as follows:
9. the data file generation method of the unmanned intelligent drives according to claim 1 based on historical analysis, feature
It is, there is design in knowledge analysis database:
The main table of file generated historical record, content are as follows:
File generated log history sublist, content are as follows:
Data recording number grade dimension table, content are as follows:
Knowledge base information table, content are as follows:
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