CN106649718B - A kind of big data acquisition and processing method for PDM system - Google Patents

A kind of big data acquisition and processing method for PDM system Download PDF

Info

Publication number
CN106649718B
CN106649718B CN201611195077.4A CN201611195077A CN106649718B CN 106649718 B CN106649718 B CN 106649718B CN 201611195077 A CN201611195077 A CN 201611195077A CN 106649718 B CN106649718 B CN 106649718B
Authority
CN
China
Prior art keywords
data
analysis
algorithm
option
big data
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
Application number
CN201611195077.4A
Other languages
Chinese (zh)
Other versions
CN106649718A (en
Inventor
王伟
李春燕
陈军
陆凤翔
丁昌文
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
The information technology Limited by Share Ltd Houtian Ming in Sichuan Province
Original Assignee
Yangcheng Institute of Technology
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Yangcheng Institute of Technology filed Critical Yangcheng Institute of Technology
Priority to CN201611195077.4A priority Critical patent/CN106649718B/en
Publication of CN106649718A publication Critical patent/CN106649718A/en
Application granted granted Critical
Publication of CN106649718B publication Critical patent/CN106649718B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2458Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
    • G06F16/2465Query processing support for facilitating data mining operations in structured databases

Landscapes

  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • Probability & Statistics with Applications (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Fuzzy Systems (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The big data acquisition and processing method that the invention discloses a kind of for PDM system, the method in use using to system module include PDM system, PDM system database, PDM system file volume, data acquisition interface module, option management module, algorithm management module, Analysis of Policy Making module, analyze result display module, algorithms library, big data analysis system database.Present invention realization PDM system is integrated with industrial big data analysis system, and realization extracts data from PDM system, three-dimensional design data, is loaded into big data analysis system and uses.The problems such as reliable data analysis, event early warning are provided, mass data storage access, high concurrent, high extension can be efficiently solved for the designer, producer and user of product.

Description

A kind of big data acquisition and processing method for PDM system
Technical field
The present invention relates to big data analysis technical fields.
Background technique
With the process of IT application in enterprise, domestic and international PDM systematic difference relative maturity, enterprise's PDM system For platform, realize integrated with CAx system.The production and operation of many years are passed through by industrial enterprise, accumulate product over the years and set Count, process data, raw material data and production equipment data, more and more external datas are also collected back, including Marketing data, the competing product data of enterprise etc..Data granularity constantly refines, and makes product from a product to a plurality of, multi-series product Data are constantly refined and are promoted.The data volume that enterprise is accumulated is being increased in a manner of acceleration, constitutes industrial big data Set.
In the quality and analysis, production plan and scheduling of product, and the fields such as sale demand analysis and prediction, increasingly More industrial enterprises starts to recognize the value of industrial big data, and starts the leather that business is actively realized using industrial big data Newly, industrial big data has become the important force for pushing enterprise intelligentization transition.The combination pair of big data technology and PDM technology Enterprise's industrialization, information-based depth integration have a very important significance.The prior art has the following disadvantages, for the big number of industry Make troubles according to data collection and analysis is carried out in PDM system: (1) PDM system business process covers each department, enterprise, pipe The data of product lifecycle have been managed, the process generated in PDM system is not only analyzed, it will also be for three-dimensional design data text Part carries out feature extraction, more to the value volume and range of product requirement of parser, and the prior art can not accomplish the pipe to all kinds of algorithms Reason;(2) big data analysis is carried out for PDM system, data source includes obtaining from PDM system, from three-dimensional design data text It is obtained in part, how to obtain data and the input data as algorithm, the prior art cannot achieve.
In summary it is found that current big data analysis system lacks a kind of pair of PDM system data is acquired and uses Effective ways, if the data of PDM system administration can be loaded and be analyzed in big data analysis system, be product design 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.
Summary of the invention
In view of the above-mentioned problems, technical problem to be solved by the invention is to provide a kind of for big data in PDM system Acquisition and processing method.
The technical scheme is that a kind of big data acquisition and processing method for PDM system, the method use To system module include PDM system, PDM system database, PDM system file volume, data acquisition interface module, option management Module, algorithm management module, Analysis of Policy Making module, analysis result display module, algorithms library, big data analysis system database; Specifically used method the following steps are included: step 1, Analysis of Policy Making module analysis option setting subfunction in load big data The analysis option of analysis system storage, and the option combination that carry out big data analysis is chosen from analysis option list, it fills in Data screening condition generates a option inventory.By analysis option setting subfunction by option inventory and corresponding attribute information, Data screening condition is stored to big data analysis system database;Step 2, the load of Analysis of Policy Making modular algorithm and syndrome function Associated big data analysis algorithm can be loaded from algorithms library and feature mentions according to option inventory and attribute information, screening conditions Algorithm routine is taken, traverses and the Data field names for verifying big data analysis algorithm routine algorithm input field and analysis option reflects It whether completely to penetrate, Data field names list, data field acquisition mode, screening conditions is passed to data and acquired after completing verification Interface;Step 3, data acquisition interface module are according to incoming Data field names list, data field acquisition mode, screening Condition determines the acquisition mode of each data field, generates PDM system database SQL query statement;Step 4, data acquisition Interface module connects PDM system database, using the database SQL sentence of generation, from PDM system database table inquiry with The attribute value of big data analysis option data Data field names mapping, by attribute value storage to big data analysis system data Library, and calculator memory is cached in a manner of data set Attribute_Dataset;Step 5, data acquisition interface module Three-dimensional design data physical file is obtained from PDM system file volume, calls the graph data loading procedure of Three-dimensional CAD Software, The three-dimensional design data physical file got is loaded in calculator memory, executes the feature extraction algorithm program of preloading, Three-dimensional design data characteristic value is exported, characteristic value is stored to big data analysis system database, and with data set Feature_ The mode of Dataset is cached to calculator memory;Step 6, Analysis of Policy Making module big data analysis subfunction are by calculator memory The algorithm input field of middle data set Attribute_Dataset, Feature_Dataset as big data analysis program;It holds Processing result is pushed to analysis result display module by row big data analysis algorithm.
Preferably, option inventory and attribute information described in step 1 include that the number, title, function of each analysis option are retouched It states, option inventory generates the time, the associated algorithm number of analysis option, algorithm title, algorithm routine filename, each analysis choosing Data field names list, data field acquisition mode needed for;Data field acquisition mode is divided into two kinds: from PDM system 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 range screen, It screens, is screened by the number of three-dimensional design data, version, title, type, the input value branch of data screening condition by product type Hold exact value and fuzzy value two ways.
Preferably, data field acquisition mode described in step 2, which is divided into, acquires from PDM system database table, sets from three-dimensional It is acquired in the characteristic value counted.
Preferably, the mapping of Data field names described in step 2 includes three-level mapped mode, real by algorithm management module Now the Data field names that the algorithm input field of big data analysis algorithm is created with analysis option are mapped, determine algorithm The data source of input field.By data acquisition interface, realize the three-dimensional design data of data field and PDM system database Attribute value, threedimensional model design document characteristic value mapped.
Beneficial effects of the present invention: the big data acquisition and processing method of the present invention for PDM system, more than Technical solution compared with prior art, has following technical effect that the integrated of 1. realization PDM systems and big data analysis system, The product lifecycle data managed in PDM system are output in big data analysis system and are used.2. effectively management is directed to The big data analysis algorithm routine and feature extraction algorithm program that PDM system data is analyzed.3. passing through data field three-level Mapped mode provides guarantee for big data analysis system acquisition PDM system data.
Detailed description of the invention
The invention will be further described with reference to the accompanying drawings and embodiments: Fig. 1 is of the present invention for PDM system Big data acquisition and the module diagram of processing method;Fig. 2 is that the big data of the present invention for PDM system acquires With the flow chart of processing method;Fig. 3 is the schematic diagram of Analysis of Policy Making module of the present invention;Fig. 4 is of the present invention The structure chart of data field three-level mapping.
Specific embodiment
Such as Fig. 1, a kind of disclosed big data acquisition and processing method for PDM system, the method is used To system module include PDM system, PDM system database, PDM file volume, 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 for PDM system is acquired and is operated as follows with processing method: step Rapid 1, Analysis of Policy Making module analysis option setting subfunction in load big data analysis system storage analysis option, and from point The option combination that carry out big data analysis is chosen in analysis option list, fills in data screening condition, generates a option inventory. Option inventory and corresponding attribute information, data screening condition are stored to big data analysis system by analysis option setting subfunction System database;Step 2, the load of Analysis of Policy Making modular algorithm are with verification subfunction according to option inventory and attribute information, screening item Part loads associated big data analysis algorithm and feature extraction algorithm program from algorithms library, traverses and verify big data analysis Whether the mapping of the Data field names of algorithm routine algorithm input field and analysis option is complete, completes data field after verifying Name list, data field acquisition mode, screening conditions are passed to data acquisition interface;Step 3, data acquisition interface module root According to incoming Data field names list, data field acquisition mode, screening conditions, the acquisition side of each data field is determined Formula generates PDM system database SQL query statement;Step 4, data acquisition interface module connect PDM system database, make With the database SQL sentence of generation, inquiry and big data analysis option data Data field names from PDM system database table The attribute value of mapping stores attribute value to big data analysis system database, and with data set Attribute_Dataset's Mode is cached to calculator memory;Step 5, data acquisition interface module obtain three-dimensional design data from PDM system file volume Physical file calls the graph data loading procedure of Three-dimensional CAD Software, the three dimensional design got is loaded in calculator memory Data Physical file executes the feature extraction algorithm program of preloading, exports three-dimensional design data characteristic value, characteristic value is stored Calculator memory is cached to big data analysis system database, and in a manner of data set Feature_Dataset;Step 6, Analysis of Policy Making module big data analysis subfunction is by data set Attribute_Dataset, Feature_ in calculator memory Algorithm input field of the Dataset as big data analysis program;Big data analysis algorithm is executed, processing result is pushed to point Analyse result display module.
Option management module is for creating big data analysis option, setting number, title, function description, data field name Claim list, data field acquisition mode.Data screening condition is created, screening conditions are arranged by association PDM system database Value.Option management module stores big data analysis option created, data screening condition to big data analysis system data Library.
Data field acquisition mode, which is divided into, to be acquired from PDM system database table, from the characteristic value of three-dimensional design data Acquisition.
When option inventory and attribute information include number, title, the function description of each analysis option, the generation of option inventory Between, the associated algorithm number of analysis option, algorithm title, algorithm routine filename, every algorithm management module is for managing big number According to parser and three-dimensional design data feature extraction algorithm, display algorithm title, algorithm function description, calculation in a manner of interface Method input field, algorithm output field, corresponding physical file in 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 and inputs the algorithm of big data analysis algorithm The Data field names that field is created with big data analysis option are associated.
Algorithms library classification storage big data sorting algorithm and three-dimensional design data feature extraction algorithm in a manner of file. The format 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 of three subfunctions: analysis option is set Set subfunction, algorithm load and verification subfunction, big data analysis subfunction.
Analysis option is arranged subfunction and connects big data analysis system database, the analysis option of load store, by user The option combination that carry out big data analysis is chosen from analysis option list, fills in data screening condition, and it is clear to generate a option It is single.Option inventory and corresponding attribute information, the storage of data screening condition are divided to big data by analysis option setting subfunction Analysis system database.
Algorithm load, according to option inventory and attribute information, screening conditions, is loaded from algorithms library and is closed with verification subfunction The big data analysis algorithm and feature extraction algorithm program of connection traverse and verify big data analysis algorithm routine algorithm input field It is whether complete with the Data field names mapping of big data analysis option, it completes Data field names list, data after verifying Field acquisition mode is passed to data acquisition interface.
Big data analysis subfunction reads data set Attribute_Dataset, Feature_ of calculator memory caching Dataset, the algorithm input field as big data analysis algorithm.Big data analysis algorithm is executed, algorithm output field is made For processing result, analysis result display module is pushed to.
The field name list, data field acquisition mode for receiving data of data acquisition interface module, passes through PDM system Database obtains the attribute value of three-dimensional design data, obtains threedimensional model design text by operation three dimensional design feature extraction program The characteristic value of part.Attribute 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 Data field names mapping includes three-level mapped mode, by algorithm management module, realize The Data field names that the algorithm input field of big data analysis algorithm is created with analysis option are mapped, determine that algorithm is defeated Enter the data source of field.By data acquisition interface, realize the three-dimensional design data of data field and PDM system database Attribute value, threedimensional model design document characteristic value mapped.
It analyzes result display module and shows big data analysis as a result, providing by visual means for a option inventory One total analysis general view, then by scaling and screening, provide deeper into details letter.Display mode includes chart, instrument board, It can be predicted, early warning, Analysis of Policy Making.
Big data analysis system database uses NoSQL database technology, manages from PDM system database and threedimensional model Collected unstructured, partly-structured data.
The above embodiments merely illustrate the technical concept and features of the present invention, and its object is to allow person skilled in the art It cans understand the content of the present invention and implement it accordingly, it is not intended to limit the scope of the present invention.It is all to lead according to the present invention The modification for wanting the Spirit Essence of technical solution to be done, should be covered by the protection scope of the present invention.Needed for each analysis option Data field names list, data field acquisition mode;Data field acquisition mode is divided into two kinds: from PDM system database The mode of acquisition attributes information in table, the mode that threedimensional model characteristic is extracted from feature extraction algorithm.
Following table is the preset big data analysis option in option management module: data screening condition includes sieving by department Choosing, by personnel's screening, temporally range is screened, by product type screening, by the number of three-dimensional design data, version, title, class The input value of type screening, data screening condition supports exact value and fuzzy value two ways.
Following table is the preset data screening condition in option management module: algorithm management module is for managing big data point Algorithm and three-dimensional design data feature extraction algorithm are analysed, display algorithm title, algorithm function description, algorithm are defeated in a manner of interface Enter field, algorithm output field, corresponding physical file in algorithms library, can manage and be write by C language, C Plus Plus, Java language Algorithm routine.Algorithm management module provides the function of data mapping, realizes the algorithm input field of big data analysis algorithm It is associated with the Data field names of big data analysis option creation.
Algorithms library classification storage big data sorting algorithm and three-dimensional design data feature extraction algorithm in a manner of file. The format 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 of three subfunctions: analysis option is set Set subfunction, algorithm load and verification subfunction, big data analysis subfunction.
Analysis option is arranged subfunction and connects big data analysis system database, the analysis option of load store, by user The option combination that carry out big data analysis is chosen from analysis option list, fills in data screening condition, and it is clear to generate a option It is single.Option inventory and corresponding attribute information, the storage of data screening condition are divided to big data by analysis option setting subfunction Analysis system database.
Algorithm load, according to option inventory and attribute information, screening conditions, is loaded from algorithms library and is closed with verification subfunction The big data analysis algorithm and feature extraction algorithm program of connection traverse and verify big data analysis algorithm routine algorithm input field It is whether complete with the Data field names mapping of big data analysis option, it completes Data field names list, data after verifying Field acquisition mode is passed to data acquisition interface.
Big data analysis subfunction reads data set Attribute_Dataset, Feature_ of calculator memory caching Dataset, the algorithm input field as big data analysis algorithm.Big data analysis algorithm is executed, algorithm output field is made For processing result, analysis result display module is pushed to.
The field name list, data field acquisition mode for receiving data of data acquisition interface module, passes through PDM system Database obtains the attribute value of three-dimensional design data, obtains threedimensional model design text by operation three dimensional design feature extraction program The characteristic value of part.Attribute 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 Data field names mapping includes three-level mapped mode, by algorithm management module, realize The Data field names that the algorithm input field of big data analysis algorithm is created with analysis option are mapped, determine that algorithm is defeated Enter the data source of field.By data acquisition interface, realize the three-dimensional design data of data field and PDM system database Attribute value, threedimensional model design document characteristic value mapped.
It analyzes result display module and shows big data analysis as a result, providing by visual means for a option inventory One total analysis general view, then by scaling and screening, provide deeper into details letter.Display mode includes chart, instrument board, It can be predicted, early warning, Analysis of Policy Making.
Big data analysis system database uses NoSQL database technology, manages from PDM system database and threedimensional model Collected unstructured, partly-structured data.
The above embodiments merely illustrate the technical concept and features of the present invention, and its object is to allow person skilled in the art It cans understand the content of the present invention and implement it accordingly, it is not intended to limit the scope of the present invention.It is all to lead according to the present invention The modification for wanting the Spirit Essence of technical solution to be done, should be covered by the protection scope of the present invention.

Claims (5)

1. a kind of big data acquisition and processing method, the system module that the method uses for PDM system includes PDM system System, data acquisition interface module, option management module, algorithm management module, is determined at PDM system database, PDM system file volume Plan analysis module, analysis result display module, algorithms library, big data analysis system database;Specifically used method includes following Step: step 1, the analysis of load big data analysis system storage is selected in Analysis of Policy Making module analysis option setting subfunction , and the option combination that carry out big data analysis is chosen from analysis option list, data screening condition is filled in, is generated a Option inventory;Option inventory and corresponding attribute information, data screening condition are stored to big by analysis option setting subfunction Data analysis system database;
Step 2, the load of Analysis of Policy Making modular algorithm with verification subfunction according to option inventory and attribute information, screening conditions, from Associated big data analysis algorithm and feature extraction algorithm program are loaded in algorithms library, traverse and verify big data analysis algorithm journey Whether the mapping of the Data field names of sequence algorithm input field and analysis option is complete, arranges Data field names after completing verification Table, data field acquisition mode, screening conditions are passed to data acquisition interface;
Step 3, data acquisition interface module are according to incoming Data field names list, data field acquisition mode, screening item Part determines the acquisition mode of each data field, generates PDM system database SQL query statement;
Step 4, data acquisition interface module connect PDM system database, using the database SQL sentence of generation, from PDM system The attribute value of inquiry and the mapping of big data analysis option data Data field names, attribute value is stored to big in database table of uniting Data analysis system database, and calculator memory is cached in a manner of data set Attribute_Dataset;
Step 5, data acquisition interface module obtain three-dimensional design data physical file from PDM system file volume, call three-dimensional The graph data loading procedure of CAD software loads the three-dimensional design data physical file got in calculator memory, executes 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 calculator memory is cached in a manner 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 field of the Feature_Dataset as big data analysis program;Big data analysis algorithm is executed, by processing result Push to analysis result display module.
2. a kind of big data acquisition and processing method for PDM system according to claim 1, it is characterised in that: step When the rapid 1 option inventory and attribute information include number, title, the function description of each analysis option, the generation of option inventory Between, the associated algorithm number of analysis option, algorithm title, algorithm routine filename, data field needed for each analysis option Name list, data field acquisition mode;Data field acquisition mode is divided into two kinds: acquiring and belongs to from PDM system database table Property information mode, from feature extraction algorithm extract threedimensional model characteristic mode.
3. a kind of big data acquisition and processing method for PDM system according to claim 1, it is characterised in that: step The rapid 1 data screening condition includes that department of pressing screens, and by personnel's screening, temporally range is screened, by product type screening, is pressed The number of three-dimensional design data, version, title, type screening, the input value of data screening condition support exact value and fuzzy value Two ways.
4. a kind of big data acquisition and processing method for PDM system according to claim 1, it is characterised in that: step The rapid 2 data field acquisition mode, which is divided into, to be acquired from PDM system database table, adopts from the characteristic value of three-dimensional design data Collection.
5. a kind of big data acquisition and processing method for PDM system according to claim 1, it is characterised in that: step The rapid 2 Data field names mapping includes three-level mapped mode, by algorithm management module, is realized big data analysis algorithm The Data field names that are created with analysis option of algorithm input field mapped, determine the data source of algorithm input field; By data acquisition interface, realize attribute value, the threedimensional model of data field and the three-dimensional design data of PDM system database The characteristic value of design document is mapped.
CN201611195077.4A 2016-12-22 2016-12-22 A kind of big data acquisition and processing method for PDM system Active CN106649718B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201611195077.4A CN106649718B (en) 2016-12-22 2016-12-22 A kind of big data acquisition and processing method for PDM system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201611195077.4A CN106649718B (en) 2016-12-22 2016-12-22 A kind of big data acquisition and processing method for PDM system

Publications (2)

Publication Number Publication Date
CN106649718A CN106649718A (en) 2017-05-10
CN106649718B true CN106649718B (en) 2019-10-25

Family

ID=58835201

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201611195077.4A Active CN106649718B (en) 2016-12-22 2016-12-22 A kind of big data acquisition and processing method for PDM system

Country Status (1)

Country Link
CN (1) CN106649718B (en)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107688969B (en) * 2017-08-25 2022-01-28 中科钢研节能科技有限公司 New technology product research and development management information system and management information method
CN108446318A (en) * 2018-02-08 2018-08-24 广州奥佳软件技术有限公司 A kind of mass data intelligent decision analysis system
CN110297847A (en) * 2019-07-03 2019-10-01 牡丹江师范学院 A kind of intelligent information retrieval method based on big data principle
CN112883083A (en) * 2021-02-25 2021-06-01 北京云从科技有限公司 Data analysis method and device, machine readable medium and equipment
CN113986954B (en) * 2021-12-30 2022-04-08 深圳市明源云科技有限公司 User event acquisition method and device, intelligent terminal and readable storage medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102324074A (en) * 2011-10-28 2012-01-18 山东城通科技有限公司 Informatization application cluster platform of small and medium enterprises
JP2015007944A (en) * 2013-06-26 2015-01-15 日本電気株式会社 Product information managing system, and product information managing method
CN105045606A (en) * 2015-08-31 2015-11-11 盐城工学院 Detection method for three-dimensional design quality based on PDM system
CN105760520A (en) * 2016-02-26 2016-07-13 广州品唯软件有限公司 Data control platform and architecture
CN106250422A (en) * 2016-07-26 2016-12-21 盐城工学院 A kind of standard component data method for quickly retrieving based on PDM system

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140173410A1 (en) * 2012-12-19 2014-06-19 Brian David Marchesseault Drawing notes manager

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102324074A (en) * 2011-10-28 2012-01-18 山东城通科技有限公司 Informatization application cluster platform of small and medium enterprises
JP2015007944A (en) * 2013-06-26 2015-01-15 日本電気株式会社 Product information managing system, and product information managing method
CN105045606A (en) * 2015-08-31 2015-11-11 盐城工学院 Detection method for three-dimensional design quality based on PDM system
CN105045606B (en) * 2015-08-31 2016-09-28 盐城工学院 A kind of detection method of three dimensional design quality based on PDM system
CN105760520A (en) * 2016-02-26 2016-07-13 广州品唯软件有限公司 Data control platform and architecture
CN106250422A (en) * 2016-07-26 2016-12-21 盐城工学院 A kind of standard component data method for quickly retrieving based on PDM system

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
MBE与大数据给PDM带来的思考;夏秀峰 等;《制造业自动化》;20131031;第35卷(第10期);第70-74页 *
基于PDM的图文档数据外发机制及实现;王伟 等;《计算机应用与软件》;20160930;第33卷(第9期);第56-59页 *
基于数据挖掘的一种聚类分析方法在PDM 系统中的应用研究;浦慧忠;《计算机与数字工程》;20161130;第44卷(第11期);第2213-2217页 *

Also Published As

Publication number Publication date
CN106649718A (en) 2017-05-10

Similar Documents

Publication Publication Date Title
CN106649718B (en) A kind of big data acquisition and processing method for PDM system
Calvanese et al. The MASTRO system for ontology-based data access
CN103714450B (en) The warning of natural language condition metric generates
CN110019176B (en) Data management control system for improving success rate of data management service
CN103631882B (en) Semantization service generation system and method based on graph mining technique
CN106294478B (en) The data processing method and device of data warehouse
CN107103064B (en) Data statistical method and device
CN105912594B (en) SQL statement processing method and system
CN103984755A (en) Multidimensional model based oil and gas resource data key system implementation method and system
CN110851667A (en) Integrated analysis method and tool for multi-source large data
CN101739454B (en) Data processing system
CN110807026A (en) Automatic capture system for analyzing financial big data blood relationship
CN105468744A (en) Big data platform for realizing tax public opinion analysis and full text retrieval
CN111125068A (en) Metadata management method and system
CN107967347A (en) Batch data processing method, server, system and storage medium
CN104182465A (en) Network-based big data processing method
CN105095436A (en) Automatic modeling method for data of data sources
KR102345410B1 (en) Big data intelligent collecting method and device
CN116244367A (en) Visual big data analysis platform based on multi-model custom algorithm
CN108549672A (en) A kind of intelligent data analysis method and system
CN116596412A (en) Method and system for realizing talent type portrait
KR101665649B1 (en) System for analyzing social media data and method for analyzing social media data using the same
US20140067874A1 (en) Performing predictive analysis
Liu et al. A data warehouse solution for e-Government
CN114201543A (en) Pharmaceutical data integration method and system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
TR01 Transfer of patent right
TR01 Transfer of patent right

Effective date of registration: 20191203

Address after: 610041 No.2, building 2-1, tourist village, Wuhou District, Chengdu, Sichuan Province

Patentee after: The information technology Limited by Share Ltd Houtian Ming in Sichuan Province

Address before: 224051 yanchuang building, 1166 Century Avenue, Yancheng City, Jiangsu Province

Patentee before: Yangcheng Institute of Technology