CN106649718A - Large data acquisition and processing method for PDM system - Google Patents
Large data acquisition and processing method for PDM system Download PDFInfo
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- CN106649718A CN106649718A CN201611195077.4A CN201611195077A CN106649718A CN 106649718 A CN106649718 A CN 106649718A CN 201611195077 A CN201611195077 A CN 201611195077A CN 106649718 A CN106649718 A CN 106649718A
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- 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
- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
Abstract
The invention discloses a large data acquisition and processing method for PDM system. According to the use process of the method, the system modules to be used comprises a PDM system, a PDM system database, a PDM system file volume, a data acquisition interface module, an option management module, an algorithm management module, a decision analysis module, an analysis results display module, an algorithms library and a large data analysis system database. The invention achieves the integration of the PDM system and the industrial large data analysis system, and extraction of data from the PDM system and three-dimensional design data and uploading of the extracted data to the large data analysis system for usage. The large data acquisition and processing method for PDM system provides reliable data analysis and event alert for product designers, manufacturers and users, and can effectively solve the problems of massive data storage access, high concurrence and high expandability and the like.
Description
Technical field
The present invention relates to big data analysis technical field.
Background technology
With the process of IT application in enterprise, domestic and international PDM systematic differences relative maturity, enterprise's PDM systems
For platform, realize integrated with CAx systems.Industrial enterprise accumulates product over the years and sets through production and operation for many years
Count, process data, raw material data and production equipment data, increasing external data also is collected, including
Marketing data, the competing product data of enterprise etc..Data granularity is constantly refined, from a product to many moneys, multi-series product cause product
Data constantly refinement and lifting.The data volume that enterprise is accumulated is being increased in the way of acceleration, constitutes industrial big data
Set.
Quality and analysis, the production schedule and scheduling in product, and the field such as sale demand analysis and prediction, increasingly
Many industrial enterprises start the value for recognizing industrial big data, and start actively to realize the leather of business using industrial big data
Newly, industrial big data has become the important force for promoting enterprise intelligentization transition.The combination pair of big data technology and PDM technologies
Enterprise's industrialization, informationalized depth integration tool are of great significance.Prior art has the following disadvantages, and is industrial big number
Make troubles according to data collection and analysis are carried out in PDM systems：
（1）PDM system business processes cover each department of enterprise, have managed the data of product lifecycle, not only to divide
The process produced in analysis PDM systems, will also carry out feature extraction for three-dimensional design data file, to the quantity of parser with
Type requirements are more, and prior art cannot accomplish the management to all kinds of algorithms；（2）Big data analysis is carried out for PDM systems, number
Include being obtained from PDM systems according to source, obtain from three-dimensional design data file, how to obtain data and as the defeated of algorithm
Enter data, prior art cannot be realized.
Summary understands that current big data analysis system shortage is a kind of to be acquired and use to PDM system datas
Effective ways, be the design of product if the data of PDM system administrations can be loaded in big data analysis system and analyzed
Person, producer and user provide reliable data analysis, event early warning, can efficiently solve mass data storage access,
The problems such as high concurrent, high extension, improve production efficiency.
The content of the invention
For the problems referred to above, the technical problem to be solved is to provide big data in a kind of system for PDM
Collection and processing method.
The technical scheme is that：
A kind of big data collection and processing method for PDM systems, the system module that methods described is used includes PDM systems
System, PDM system databases, PDM system files volume, data acquisition interface module, option management module, algorithm management module, certainly
Plan analysis module, analysis result display module, algorithms library, big data analysis system database；Specifically used method includes following
Step：
Step 1, the analysis option that loading big data analysis system is stored in Analysis of Policy Making module analysis option arranges subfunction,
And the option combination that carry out big data analysis is chosen from analysis option list, and data screening condition is filled in, generate a choosing
Item inventory.Subfunction is arranged by option inventory and corresponding attribute information, the storage of data screening condition to big number by analysis option
According to analysis system database；
Step 2, the loading of Analysis of Policy Making modular algorithm with verification subfunction according to option inventory and attribute information, screening conditions, from
The big data parser and feature extraction algorithm program of association are loaded in algorithms library, big data parser journey is traveled through and verify
Whether sequence algorithm input field is complete with the Data field names mapping of analysis option, completes to arrange Data field names after verification
Table, data field acquisition mode, screening conditions incoming data acquisition interface；
Step 3, data acquisition interface module are according to incoming Data field names list, data field acquisition mode, screening bar
Part, determines the acquisition mode of each data field, generates PDM system database SQL query statements；
Step 4, data acquisition interface module connection PDM system databases, using the database SQL sentence for generating, from PDM systems
Inquiry and the property value of big data analysis option data field mapping, property value is stored to big data analysis in system database table
System database, and it is cached to calculator memory in the way of data set Attribute_Dataset；
Step 5, data acquisition interface module obtain three-dimensional design data physical file from PDM system files volume, call three-dimensional
The graph data loading procedure of CAD software, loads the three-dimensional design data physical file for getting in calculator memory, performs
The feature extraction algorithm program of preloading, exports three-dimensional design data characteristic value, by characteristic value storage to big data analysis system
Database, and it is cached to calculator memory in the way of data set Feature_Dataset；
Step 6, Analysis of Policy Making module big data analysis subfunction by data set Attribute_Dataset in calculator memory,
Algorithm input fields of the Feature_Dataset as big data analysis program；Big data parser is performed, by result
Push to analysis result display module.
Preferably, option inventory described in step 1 and attribute information include that the numbering of each analysis option, title, function are retouched
State, option inventory generates the time, algorithm numbering, algorithm title, the algorithm routine filename of analysis option association, each analysis choosing
Data field names list, data field acquisition mode needed for；Data field acquisition mode is divided into two kinds：From PDM systems
The mode of acquisition attributes information in database table, the mode that threedimensional model characteristic is extracted from feature extraction algorithm.
Preferably, data screening condition described in step 1 include by department screen, by personnel screening, temporally scope screening,
Screen by product type, by the numbering of three-dimensional design data, version, title, type screening, the input value of data screening condition
Hold exact value and fuzzy value two ways.
Preferably, data field acquisition mode described in step 2 is divided into and gathers from PDM system database tables, sets from three-dimensional
Gather in the characteristic value for counting.
Preferably, field mapping includes three-level mapped mode described in step 2, and by algorithm management module, realization will be counted greatly
The Data field names created with analysis option according to the algorithm input field of parser are mapped, and determine algorithm input field
Data source.By data acquisition interface, the attribute by data field and the three-dimensional design data of PDM system databases is realized
Value, the characteristic value of threedimensional model design document are mapped.
Beneficial effects of the present invention：
Big data collection and processing method for PDM systems of the present invention, using above technical scheme and prior art phase
Than with following technique effect：
1. realize that PDM systems are integrated with big data analysis system, the product lifecycle data managed in PDM systems are defeated
Go out to used in big data analysis system.2. the big data parser journey that effectively management is analyzed for PDM system datas
Sequence and feature extraction algorithm program.3., by data field three-level mapped mode, it is big data analysis system collection PDM system numbers
According to there is provided guarantee.
Description of the drawings
Below in conjunction with the accompanying drawings and embodiment the invention will be further described：
Fig. 1 is the module diagram of the big data collection for PDM systems of the present invention and processing method；
Fig. 2 is the flow chart of the big data collection for PDM systems of the present invention and processing method；
Fig. 3 is the schematic diagram of Analysis of Policy Making module of the present invention；
Fig. 4 is the structure chart of data field three-level mapping of the present invention.
Specific embodiment
As Fig. 1, a kind of disclosed big data for PDM systems are gathered and processing method, methods described is used
The system module for arriving includes PDM systems, PDM system databases, PDM file volumes, data acquisition interface module, option management mould
Block, algorithm management module, Analysis of Policy Making module, analysis result display module, algorithms library, big data analysis system database.
As shown in Fig. 2 a kind of big data collection for PDM systems is operated as follows with processing method：
Step 1, the analysis option that loading big data analysis system is stored in Analysis of Policy Making module analysis option arranges subfunction,
And the option combination that carry out big data analysis is chosen from analysis option list, and data screening condition is filled in, generate a choosing
Item inventory.Subfunction is arranged by option inventory and corresponding attribute information, the storage of data screening condition to big number by analysis option
According to analysis system database；
Step 2, the loading of Analysis of Policy Making modular algorithm with verification subfunction according to option inventory and attribute information, screening conditions, from
The big data parser and feature extraction algorithm program of association are loaded in algorithms library, big data parser journey is traveled through and verify
Whether sequence algorithm input field is complete with the Data field names mapping of analysis option, completes to arrange Data field names after verification
Table, data field acquisition mode, screening conditions incoming data acquisition interface；
Step 3, data acquisition interface module are according to incoming Data field names list, data field acquisition mode, screening bar
Part, determines the acquisition mode of each data field, generates PDM system database SQL query statements；
Step 4, data acquisition interface module connection PDM system databases, using the database SQL sentence for generating, from PDM systems
Inquiry and the property value of big data analysis option data field mapping, property value is stored to big data analysis in system database table
System database, and it is cached to calculator memory in the way of data set Attribute_Dataset；
Step 5, data acquisition interface module obtain three-dimensional design data physical file from PDM system files volume, call three-dimensional
The graph data loading procedure of CAD software, loads the three-dimensional design data physical file for getting in calculator memory, performs
The feature extraction algorithm program of preloading, exports three-dimensional design data characteristic value, by characteristic value storage to big data analysis system
Database, and it is cached to calculator memory in the way of data set Feature_Dataset；
Step 6, Analysis of Policy Making module big data analysis subfunction by data set Attribute_Dataset in calculator memory,
Algorithm input fields of the Feature_Dataset as big data analysis program；Big data parser is performed, by result
Push to analysis result display module.
Option management module is used to create big data analysis option, arranges numbering, title, function description, data field name
Claim list, data field acquisition mode.Data screening condition is created, screening conditions are set by associating PDM system databases
Value.Option management module is by the big data analysis option for creating, the storage of data screening condition to big data analysis system data
Storehouse.
Data field acquisition mode is divided into from PDM system database tables collection, from the characteristic value of three-dimensional design data
Collection.
When option inventory and attribute information include numbering, title, function description, the generation of option inventory of each analysis option
Between, algorithm numbering, algorithm title, the algorithm routine filename of analysis option association are used to manage big number per algorithm management module
According to parser and three-dimensional design data feature extraction algorithm, display algorithm title, algorithm function description, calculation in the way of interface
Corresponding physical file in method input field, algorithm output field, algorithms library, can manage by C language, C Plus Plus, Java language
The algorithm routine write.Algorithm management module provides the function of data mapping, realizes being input into the algorithm of big data parser
The Data field names that field is created with big data analysis option are associated.
Algorithms library is classified in the way of file and stores big data sorting algorithm and three-dimensional design data feature extraction algorithm.
The form that algorithm library file is supported includes dynamic link library (DLL) file, jar file.
As shown in figure 3, the Analysis of Policy Making module of the big data analysis system is made up of three subfunctions：Analysis option sets
Put subfunction, algorithm loading and verification subfunction, big data analysis subfunction.
Analysis option arranges subfunction connection big data analysis system database, the analysis option of load store, by user
Choosing from analysis option list will carry out the option combination of big data analysis, fill in data screening condition, generate a option clear
It is single.Subfunction is arranged by option inventory and corresponding attribute information, the storage of data screening condition to big data point by analysis option
Analysis system database.
Algorithm is loaded with verification subfunction according to option inventory and attribute information, screening conditions, and the loading from algorithms library is closed
The big data parser and feature extraction algorithm program of connection, travels through and verifies big data parser programmed algorithm input field
It is whether complete with the Data field names mapping of big data analysis option, complete Data field names list, data after verification
Field acquisition mode incoming data acquisition interface.
Big data analysis subfunction reads data set Attribute_Dataset, Feature_ of calculator memory caching
Dataset, as the algorithm input field of big data parser.Big data parser is performed, algorithm output field is made
For result, analysis result display module is pushed to.
Data acquisition interface module is used for receiving data field name list, data field acquisition mode, by PDM systems
Database obtains the property value of three-dimensional design data, and by running three dimensional design feature extraction program threedimensional model design text is obtained
The characteristic value of part.Property value and characteristic value are stored in big data analysis system database by data acquisition interface, and respectively with data
The mode of set cache is loaded into calculator memory.
As shown in figure 4, the field mapping includes three-level mapped mode, by algorithm management module, realize big data
The Data field names that the algorithm input field of parser is created with analysis option are mapped, and determine algorithm input field
Data source.By data acquisition interface, realize by the property value of data field and the three-dimensional design data of PDM system databases,
The characteristic value of threedimensional model design document is mapped.
Analysis result display module shows big data analysis result, is provided for a option inventory by visual means
One total analysis general view, then by scale and screen, there is provided deeper into details letter.Display mode includes chart, instrument board,
Can be predicted, early warning, Analysis of Policy Making.
Big data analysis system database adopts NoSQL database technologys, manages from PDM system databases and threedimensional model
Destructuring, the partly-structured data for collecting.
Above-described embodiment technology design only to illustrate the invention and feature, its object is to allow person skilled in the art
Will appreciate that present disclosure and implement according to this, can not be limited the scope of the invention with this.It is all main according to the present invention
The modification for wanting the Spirit Essence of technical scheme to be done, all should be included within the scope of the present invention.Needed for individual analysis option
Data field names list, data field acquisition mode；Data field acquisition mode is divided into two kinds：From PDM system databases
The mode of acquisition attributes information in table, the mode that threedimensional model characteristic is extracted from feature extraction algorithm.
Following table is the default big data analysis option in option management module：
Data screening condition includes being screened by department, and by personnel's screening, temporally scope is screened, screened by product type, by three
The numbering of dimension design data, version, title, type screening, the input value of data screening condition supports exact value and fuzzy value two
The mode of kind.
Following table is the default data screening condition in option management module：
Algorithm management module is used to manage big data parser and three-dimensional design data feature extraction algorithm, in the way of interface
Corresponding physical file in display algorithm title, algorithm function description, algorithm input field, algorithm output field, algorithms library, can
The algorithm routine that management is write by C language, C Plus Plus, Java language.Algorithm management module provides the function of data mapping, real
Now the Data field names that the algorithm input field of big data parser is created with big data analysis option are associated.
Algorithms library is classified in the way of file and stores big data sorting algorithm and three-dimensional design data feature extraction algorithm.
The form that algorithm library file is supported includes dynamic link library (DLL) file, jar file.
As shown in figure 3, the Analysis of Policy Making module of the big data analysis system is made up of three subfunctions：Analysis option sets
Put subfunction, algorithm loading and verification subfunction, big data analysis subfunction.
Analysis option arranges subfunction connection big data analysis system database, the analysis option of load store, by user
Choosing from analysis option list will carry out the option combination of big data analysis, fill in data screening condition, generate a option clear
It is single.Subfunction is arranged by option inventory and corresponding attribute information, the storage of data screening condition to big data point by analysis option
Analysis system database.
Algorithm is loaded with verification subfunction according to option inventory and attribute information, screening conditions, and the loading from algorithms library is closed
The big data parser and feature extraction algorithm program of connection, travels through and verifies big data parser programmed algorithm input field
It is whether complete with the Data field names mapping of big data analysis option, complete Data field names list, data after verification
Field acquisition mode incoming data acquisition interface.
Big data analysis subfunction reads data set Attribute_Dataset, Feature_ of calculator memory caching
Dataset, as the algorithm input field of big data parser.Big data parser is performed, algorithm output field is made
For result, analysis result display module is pushed to.
Data acquisition interface module is used for receiving data field name list, data field acquisition mode, by PDM systems
Database obtains the property value of three-dimensional design data, and by running three dimensional design feature extraction program threedimensional model design text is obtained
The characteristic value of part.Property value and characteristic value are stored in big data analysis system database by data acquisition interface, and respectively with data
The mode of set cache is loaded into calculator memory.
As shown in figure 4, the field mapping includes three-level mapped mode, by algorithm management module, realize big data
The Data field names that the algorithm input field of parser is created with analysis option are mapped, and determine algorithm input field
Data source.By data acquisition interface, realize by the property value of data field and the three-dimensional design data of PDM system databases,
The characteristic value of threedimensional model design document is mapped.
Analysis result display module shows big data analysis result, is provided for a option inventory by visual means
One total analysis general view, then by scale and screen, there is provided deeper into details letter.Display mode includes chart, instrument board,
Can be predicted, early warning, Analysis of Policy Making.
Big data analysis system database adopts NoSQL database technologys, manages from PDM system databases and threedimensional model
Destructuring, the partly-structured data for collecting.
Above-described embodiment technology design only to illustrate the invention and feature, its object is to allow person skilled in the art
Will appreciate that present disclosure and implement according to this, can not be limited the scope of the invention with this.It is all main according to the present invention
The modification for wanting the Spirit Essence of technical scheme to be done, all should be included within the scope of the present invention.
Claims (5)
1. a kind of big data collection and processing method for PDM systems, the system module that methods described is used includes PDM systems
System, PDM system databases, PDM system files volume, data acquisition interface module, option management module, algorithm management module, certainly
Plan analysis module, analysis result display module, algorithms library, big data analysis system database；Specifically used method includes following
Step：
Step 1, the analysis option that loading big data analysis system is stored in Analysis of Policy Making module analysis option arranges subfunction,
And the option combination that carry out big data analysis is chosen from analysis option list, and data screening condition is filled in, generate a choosing
Item inventory；Subfunction is arranged by option inventory and corresponding attribute information, the storage of data screening condition to big number by analysis option
According to analysis system database；
Step 2, the loading of Analysis of Policy Making modular algorithm with verification subfunction according to option inventory and attribute information, screening conditions, from
The big data parser and feature extraction algorithm program of association are loaded in algorithms library, big data parser journey is traveled through and verify
Whether sequence algorithm input field is complete with the Data field names mapping of analysis option, completes to arrange Data field names after verification
Table, data field acquisition mode, screening conditions incoming data acquisition interface；
Step 3, data acquisition interface module are according to incoming Data field names list, data field acquisition mode, screening bar
Part, determines the acquisition mode of each data field, generates PDM system database SQL query statements；
Step 4, data acquisition interface module connection PDM system databases, using the database SQL sentence for generating, from PDM systems
Inquiry and the property value of big data analysis option data field mapping, property value is stored to big data analysis in system database table
System database, and it is cached to calculator memory in the way of data set Attribute_Dataset；
Step 5, data acquisition interface module obtain three-dimensional design data physical file from PDM system files volume, call three-dimensional
The graph data loading procedure of CAD software, loads the three-dimensional design data physical file for getting in calculator memory, performs
The feature extraction algorithm program of preloading, exports three-dimensional design data characteristic value, by characteristic value storage to big data analysis system
Database, and it is cached to calculator memory in the way of data set Feature_Dataset；
Step 6, Analysis of Policy Making module big data analysis subfunction by data set Attribute_Dataset in calculator memory,
Algorithm input fields of the Feature_Dataset as big data analysis program；Big data parser is performed, by result
Push to analysis result display module.
2. a kind of big data collection and processing method for PDM systems according to claim 1, it is characterised in that：Step
When option inventory described in rapid 1 and attribute information include numbering, title, function description, the generation of option inventory of each analysis option
Between, algorithm numbering, algorithm title, the algorithm routine filename of analysis option association, the data field needed for each analysis option
Name list, data field acquisition mode；Data field acquisition mode is divided into two kinds：The collection category from PDM system database tables
Property information mode, from feature extraction algorithm extract threedimensional model characteristic mode.
3. a kind of big data collection and processing method for PDM systems according to claim 1, it is characterised in that：Step
Data screening condition described in rapid 1 includes being screened by department, and by personnel's screening, temporally scope is screened, screened by product type, is pressed
The numbering of three-dimensional design data, version, title, type screening, the input value of data screening condition supports exact value and fuzzy value
Two ways.
4. a kind of big data collection and processing method for PDM systems according to claim 1, it is characterised in that：Step
Data field acquisition mode described in rapid 2 is divided into from PDM system database tables collection, adopts from the characteristic value of three-dimensional design data
Collection.
5. a kind of big data collection and processing method for PDM systems according to claim 1, it is characterised in that：Step
Field mapping described in rapid 2 includes three-level mapped mode, by algorithm management module, realizes the algorithm of big data parser is defeated
Enter the Data field names that field creates with analysis option to be mapped, determine the data source of algorithm input field；By data
Acquisition interface, realizes property value, the threedimensional model design document by data field and the three-dimensional design data of PDM system databases
Characteristic value mapped.
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