CN109242248A - Cigarette machine multidimensional data comprehensive analysis platform and method - Google Patents
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- 241000208125 Nicotiana Species 0.000 description 2
- 235000002637 Nicotiana tabacum Nutrition 0.000 description 2
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Abstract
The invention discloses a kind of cigarette machine multidimensional data comprehensive analysis platform and methods, acquire each cigarette plant production, logistics and people and provide operation process data, carry out the exchange of different modes to different data and integrate, and carry out data storage；The data content accommodated to Data Analysis Platform is managed and services, data sharing service, data exchange service, data encoding service, decision support service, big data analysis service and Report Forms Service application are provided, the data after storage are managed and service is externally provided；Based on Analysis of Policy Making tool and big data technology, retrospect, product data packet, test data analyzer, monitoring of tools prediction, hour norm prediction or process parameter optimizing are managed to data, it realizes that the multi-dimensional management present invention can intuitively show cigarette machine multidimensional data, multidimensional management is carried out to cigarette machine.
Description
Technical field
The present invention relates to a kind of cigarette machine multidimensional data comprehensive analysis platform and methods.
Background technique
Currently, cigarette enterprise merges still in the exploratory stage, greatly big data analysis technology with the application of production of cigarettes
Data multidimensional analysis platform technology is not also production of cigarettes service well.
Summary of the invention
The present invention to solve the above-mentioned problems, proposes a kind of cigarette machine multidimensional data comprehensive analysis platform and method,
The present invention can intuitively show cigarette machine multidimensional data, carry out multidimensional management to cigarette machine.
To achieve the goals above, the present invention adopts the following technical scheme:
A kind of cigarette machine multidimensional data comprehensive analysis platform, including be distributed from bottom to top layers of physical devices, data set
Stratification, data storage layer, service layer and application layer, in which:
The layers of physical devices is configured to include interchanger, router, firewall, operating system and encryption gateway, institute
Interchanger, router, firewall and encryption gateway is stated to be configured as supporting virtualization deployment, distributed deployment and cloud deployment, institute
Operating system is stated, the Database Systems deployment of big data framework is configured to supply；
The data set stratification, is configured as obtaining data from each data source, divides from timeliness angle by the data of acquisition
At real-time and non real-time, it is divided into batch and increment from data-volume perspective, is divided into structural data, semi-structured data from data class
And unstructured data；
The data storage layer is configured as supporting to include the storage of tradition Oracle relational data and distributed field system
The mode of system, data warehouse or Data Mart carries out data storage；
The service layer is configured as realizing that the data content for accommodating Data Analysis Platform is managed and services, mention
It is taken for data sharing service, data exchange service, data encoding service, decision support service, big data analysis service and report
Business application, is managed the data after storage and externally provides service；
The application layer, is configured as based on Analysis of Policy Making tool and big data technology, is managed retrospect to data, produces
Product data packet, test data analyzer, monitoring of tools prediction, hour norm prediction or process parameter optimizing, realize multi-dimensional management.
Further, the data source includes but is not limited to that each cigarette plant production, logistics and people provide operation process
Data are divided into business datum, unstructured data and equipment Internet of Things data three categories, and wherein business datum is mainly derived from MES
System, throwing centralized control system, volume packet data actuation, power energy system and equipment management system information system data；Equipment
Internet of Things data include the real time data of each cigarette machine and flow sensor acquisition.
Further, data storage layer is configured as realizing the storage management to relational data, entire data storage layer
It is that the mixed mode based on relational data storage and big data distributed storage is built-up.
Data storage layer includes relational data memory module and big data distributed storage module.
Further, data acquisition and data service technology pair that data set stratification is provided based on ETL tool and ESB platform
Structural data carries out data integration.
Further, the data service layer realizes data storage layer Various types of data resource based on Data Analysis Platform
Unified management, realize that the acquisition of data is processed and exchange is shared by data set stratification, carry out data calculating, data mining and
Analysis modeling finally shows by data and realizes that data analysis and the front end of Result are shown.
Realize that the unified storage management to Various types of data determines system first by the business datum of different bottom-up information systems
One Naming conventions, storage format and field length determines the integrated mode of data among systems, while providing system data
Maintenance criterion, configuration standard and O&M standard form data of information system administrative provisions.
Data, which calculate count based on detailed data, to summarize.
Data mining is based on tobacco business datum, using the data mining algorithms such as mature correlation rule, clustering into
The analysis of row data.
Multidimensional analysis modeling, establishes multidimensional model for subject datas such as equipment, material, quality, consumption.
Multidimensional refers to multiple angles of data analysis, such as time, teams and groups, board dimension.
Further, the data application layer provides data query retrieval application, data management and retrospect application, data pipe
Reason visualization application, intelligence decision support system application, data analysis mining application, knowledge transformation application service.
Data query retrieval application, provides the statistical query of all kinds of business datums.
Data management and retrospect application, provide the retrospect to the relevant business datum of cigarette finished product production overall process.
Data management visualization application provides all kinds of charts, multidimensional visualizes interface.
Intelligence decision support system application provides the analysis of level of factory, workshop level, teams and groups' grade different grain size data as a result, for difference
Management level carry out aid decision.
Data analysis mining application provides the data mining analysis for specific business need, for example carries out cigarette machine
Comprehensive operation efficiency data mining analysis, Preventive Equipment Maintenance prediction etc..
Knowledge transformation application service provides business personnel and carries out experience library, sharing of knowledge base etc..
Further, the data set stratification, for structuring small data quantity and real time data uses Enterprise Service Bus
To carry out data exchange；For data volume be more than setting value but non-real-time data using data pick-up, conversion and load (ETL) into
Row exchange；The real time data that Internet of Things generates is acquired exchange using message queue.
A kind of cigarette machine multidimensional data comprehensive analysis method acquires each cigarette plant production, logistics and people and provides fortune
Turn process data, obtain data from each data source, the data of acquisition are divided into from timeliness angle it is real-time and non real-time, from data
Measuring angle is divided into batch and increment, is divided into structural data, semi-structured data and unstructured data from data class；
The exchange of different modes is carried out to different data and is integrated, and carries out data storage；
The data content accommodated to Data Analysis Platform is managed and services, and provides data sharing service, data exchange
Service, data encoding service, decision support service, big data analysis service and Report Forms Service application, to the data after storage into
Row management and externally offer service；
Based on Analysis of Policy Making tool and big data technology, retrospect, product data packet, test data point are managed to data
Analysis, monitoring of tools prediction, hour norm prediction or process parameter optimizing, realize multi-dimensional management.
Compared with prior art, the invention has the benefit that
The present invention provides a kind of cigarette machine multidimensional data comprehensive analysis platform and methods, can intuitively show cigarette
Equipment multidimensional data carries out multidimensional management to cigarette machine, and it is clearer to realize that administrative staff have entire production of cigarettes
Understanding.
The present invention provides the thinkings that a kind of analysis of cigarette data multidimensional is realized, realize the integrated of each data among systems,
Improve the utilization rate of data assets.
Detailed description of the invention
The accompanying drawings constituting a part of this application is used to provide further understanding of the present application, and the application's shows
Meaning property embodiment and its explanation are not constituted an undue limitation on the present application for explaining the application.
Fig. 1 is overall system architecture；
Fig. 2 is system architecture figure；
Specific embodiment:
The invention will be further described with embodiment with reference to the accompanying drawing.
It is noted that following detailed description is all illustrative, it is intended to provide further instruction to the application.Unless another
It indicates, all technical and scientific terms used herein has usual with the application person of an ordinary skill in the technical field
The identical meanings of understanding.
It should be noted that term used herein above is merely to describe specific embodiment, and be not intended to restricted root
According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singular
Also it is intended to include plural form, additionally, it should be understood that, when in the present specification using term "comprising" and/or " packet
Include " when, indicate existing characteristics, step, operation, device, component and/or their combination.
In the present invention, term for example "upper", "lower", "left", "right", "front", "rear", "vertical", "horizontal", " side ",
The orientation or positional relationship of the instructions such as "bottom" is to be based on the orientation or positional relationship shown in the drawings, only to facilitate describing this hair
Bright each component or component structure relationship and the relative of determination, not refer in particular to either component or element in the present invention, cannot understand
For limitation of the present invention.
In the present invention, term such as " affixed ", " connected ", " connection " be shall be understood in a broad sense, and indicate may be a fixed connection,
It is also possible to be integrally connected or is detachably connected；It can be directly connected, it can also be indirectly connected through an intermediary.For
The related scientific research of this field or technical staff can determine the concrete meaning of above-mentioned term in the present invention as the case may be,
It is not considered as limiting the invention.
It is illustrated by taking the cigar mill of Tengzhou as an example.
The general frame of cigarette machine multidimensional data analysis platform designs status and cigarette based on facility information management
The business demand of device data analysis platform construction, in conjunction with the overall planning that enterprise's future information technology develops, in architecture diagram
Between region include seven levels that are relatively independent and connecting each other, be successively physical facility layer, system software layer, data active layer,
Data set stratification, data storage layer, data service layer and data application layer, it is successively progressive from bottom to top, it embodies from business number
According to arrive integral data, then arrive data service data handling procedure；Left side is standard criterion system, and right side is data safety body
System is support construction relevant to above layers construction content, they define Data Analysis Platform standard criterion and safety is protected
Hinder the construction content of aspect, the construction of standard and secure context is built through Data Analysis Platform and the overall process of O&M.
Physical facility layer is located at the bottom of IT architecture, from equipment operating environment, network, storage system, server isogonism
Degree has carried out planning and designing；Simultaneously in view of the application of the new technologies such as virtualization, big data and cloud computing, physical facility layer can
Support virtualization deployment, distributed deployment and cloud deployment；Safe and reliable and with scalability physical facility layer is Tengzhou volume
The most important basic guarantee of tobacco factory's cigarette machine Data Analysis Platform construction and application.
System software layer is set based on the OS system carried out needed for Data Analysis Platform and data storage, handling implement
Meter, wherein the support system based on big data framework is disposed, using the (SuSE) Linux OS that current industry is general；Database and
2012 operating system of WINDOWS is selected in the relevant system software of Data Analysis Platform, the deployment of data interaction tool.
Data active layer provides required data source for Data Analysis Platform, in order to support Tengzhou cigar mill service operation,
Decision support, big data application, Data Analysis Platform need to acquire Tengzhou cigarette plant, production, logistics, people's money operation process
Data.Business datum, unstructured data, equipment Internet of Things data three categories can be divided into according to data source, wherein business datum
It is mainly derived from the informationizations such as MES system, throwing centralized control system, volume packet data actuation, power energy system, equipment management system
System data；Equipment Internet of Things data mainly include the real time data of equipment, flow sensor acquisition.
Data set stratification mainly meets from data source acquire related data the needs of, data acquire be by Various types of data from
External data source imports (cleaning, conversion) big data storage system, in case calculating, the process of analysis.Data integration is from timeliness angle
Degree can be divided into it is real-time, non real-time, from data-volume perspective be divided into batch, increment, can be divided into structural data, half structure from data class
Change data, unstructured data.For the data that different type, different timeliness require, a variety of different acquisitions, integrated skill need to be adopted
Art.For different data sources and acquisition scene, data set stratification needs to meet structuring and unstructured data acquires, in real time
The demand of data and non-real-time data acquisition, high-volume and the acquisition of small lot data.For structuring small data quantity and real-time number
Data exchange is carried out using Enterprise Service Bus (ESB) according to general；For big data quantity but non-real-time data generally uses ETL
It swaps；The real time data that Internet of Things generates is using message queue Kafka (Apache open source) acquisition exchange.
Data storage layer data storage method supports to include the storage of tradition Oracle relational data and distributed field system
System (HDFS), data warehouse, Data Mart mode come meet data analysis application data store needs.
Data service layer mainly realizes that the data content accommodated to Data Analysis Platform is managed and services, and core provides
Data sharing service, data exchange service, data encoding service, decision support service, big data analysis service, Report Forms Service etc.
Using being mainly managed to the data of Data Analysis Platform and externally provide service.
Data application layer is mainly used for carrying out integrated application to data warehouse data, is based on Analysis of Policy Making tool, big data
The platforms such as technology and technology provide various applications, comprising: data query retrieval application, data management and retrospect application, data pipe
Reason visualization application, intelligence decision support system application, data analysis mining application, knowledge transformation application service.
Standard criterion system can ensure that data are analyzed as Data Analysis Platform planning and the guarantee built and policy paper
Project, which has in implementation process with application, instructs foundation.Standard criterion includes data standard planning and data safety standard
Specification, standard criterion are the important outputs of data analysis consulting planning, and construction Data Analysis Platform process needs establishing criteria
Regulation enforcement.The development and landing of every implementation can be effectively ensured.
The Technical Architecture of cigarette machine multidimensional data analysis platform, including the storage of data presentation layer, data service layer, data
Layer, data set stratification and infrastructure layer.
Data exhibiting layer is that the data analysis that Data Analysis Platform provides and excavation application provide and show support.Using visual
Change building technology to be showed, according to different application scene needs, provides display technique abundant.
Data service layer is realized the unified management of data storage layer Various types of data resource, is borrowed based on Data Analysis Platform
Data set stratification is helped to realize that the acquisition processing of data and exchange are shared；Data calculating is carried out by Data Analysis Platform, data are dug
Pick, analysis modeling finally show by data and realize that data analysis and the front end of Result are shown.
Data storage layer mainly uses ODS, data warehouse, Data Mart technology to realize the storage tube to relational data
Reason, entire data storage layer are the mixed modes based on relational data storage and big data distributed storage.
Data set stratification is acquired based on the data that ETL tool and ESB platform provide and data service technology is to structuring number
According to progress data integration.
Infrastructure layer essentially describes the technology that infrastructure layer uses, including network environment, hardware environment, operation
The technology used in system.
The foregoing is merely preferred embodiment of the present application, are not intended to limit this application, for the skill of this field
For art personnel, various changes and changes are possible in this application.Within the spirit and principles of this application, made any to repair
Change, equivalent replacement, improvement etc., should be included within the scope of protection of this application.
Above-mentioned, although the foregoing specific embodiments of the present invention is described with reference to the accompanying drawings, not protects model to the present invention
The limitation enclosed, those skilled in the art should understand that, based on the technical solutions of the present invention, those skilled in the art are not
Need to make the creative labor the various modifications or changes that can be made still within protection scope of the present invention.
Claims (10)
1. a kind of cigarette machine multidimensional data comprehensive analysis platform, it is characterized in that: include the layers of physical devices being distributed from bottom to top,
Data set stratification, data storage layer, service layer and application layer, in which:
The layers of physical devices is configured to include interchanger, router, firewall, operating system and encryption gateway, the friendship
It changes planes, router, firewall and encryption gateway are configured as supporting virtualization deployment, distributed deployment and cloud deployment, the behaviour
Make system, is configured to supply the Database Systems deployment of big data framework；
The data set stratification, is configured as obtaining data from each data source, is divided into reality from timeliness angle by the data of acquisition
When and it is non real-time, be divided into batch and increment from data-volume perspective, be divided into structural data, semi-structured data and non-from data class
Structural data；
The data storage layer, be configured as support include tradition Oracle relational data storage with distributed file system,
The mode of data warehouse or Data Mart carries out data storage；
The service layer is configured as realizing that the data content for accommodating Data Analysis Platform is managed and services, provides number
It is answered according to shared service, data exchange service, data encoding service, decision support service, big data analysis service and Report Forms Service
With being managed to the data after storage and externally provide service；
The application layer is configured as being managed retrospect, product number to data based on Analysis of Policy Making tool and big data technology
According to packet, test data analyzer, monitoring of tools prediction, hour norm prediction or process parameter optimizing, multi-dimensional management is realized.
2. a kind of cigarette machine multidimensional data comprehensive analysis platform as described in claim 1, it is characterized in that: the data source packet
It includes but is not limited to each cigarette plant production, logistics and people and provide operation process data, be divided into business datum, unstructured data
With equipment Internet of Things data three categories, wherein business datum be mainly derived from MES system, throwing centralized control system, volume packet data actuation,
Power energy system and equipment management system information system data；Equipment Internet of Things data include that each cigarette machine and logistics pass
The real time data of sensor acquisition.
3. a kind of cigarette machine multidimensional data comprehensive analysis platform as described in claim 1, it is characterized in that: data storage layer quilt
It is arranged for carrying out the storage management to relational data, entire data storage layer is based on relational data storage and big data point
The mixed mode of cloth storage is built-up.
4. a kind of cigarette machine multidimensional data comprehensive analysis platform as described in claim 1, it is characterized in that: data set stratification base
Data integration is carried out to structural data with data service technology in the data acquisition that ETL tool and ESB platform provide.
5. a kind of cigarette machine multidimensional data comprehensive analysis platform as described in claim 1, it is characterized in that: the data service
Layer realizes the unified management of data storage layer Various types of data resource based on Data Analysis Platform, realizes by data set stratification
The acquisition of data is processed and exchange is shared, carries out data calculating, data mining and analysis modeling, is finally shown and is realized by data
Data analysis and the front end of Result are shown.
6. a kind of cigarette machine multidimensional data comprehensive analysis platform as described in claim 1, it is characterized in that: the data application
Layer provides data query retrieval application, data management and retrospect application, data management visualization application, and intelligence decision support system is answered
With data analysis mining is applied and knowledge transformation application service.
7. a kind of cigarette machine multidimensional data comprehensive analysis platform as claimed in claim 6, it is characterized in that: data query is retrieved
Using providing the statistical query of all kinds of business datums；
Data management and retrospect application, provide the retrospect to the relevant business datum of cigarette finished product production overall process；
Data management visualization application provides all kinds of charts, multidimensional visualizes interface；.
Intelligence decision support system application provides the analysis of level of factory, workshop level, teams and groups' grade different grain size data as a result, for different management
Layer carries out aid decision；
Data analysis mining application, provides the data mining analysis for specific business need；
Knowledge transformation application service provides business personnel's sharing for carrying out experience library, knowledge base.
8. a kind of cigarette machine multidimensional data comprehensive analysis platform as described in claim 1, it is characterized in that: the data integration
Layer, for structuring small data quantity and real time data carries out data exchange using Enterprise Service Bus；It is more than for data volume
Setting value but non-real-time data are swapped using data pick-up, conversion and load；The real time data that Internet of Things generates, which uses, to disappear
Breath queue is acquired exchange.
9. a kind of cigarette machine multidimensional data comprehensive analysis method, it is characterized in that: acquire each cigarette plant production, logistics and
People provides operation process data, obtains data from each data source, the data of acquisition are divided into from timeliness angle it is real-time and non real-time,
It is divided into batch and increment from data-volume perspective, is divided into structural data, semi-structured data and unstructured data from data class；
The exchange of different modes is carried out to different data and is integrated, and carries out data storage；
To Data Analysis Platform accommodate data content be managed and service, provide data sharing service, data exchange service,
Data encoding service, decision support service, big data analysis service and Report Forms Service application, are managed the data after storage
Service is provided with external；
Based on Analysis of Policy Making tool and big data technology, to data be managed retrospect, product data packet, test data analyzer,
Monitoring of tools prediction, hour norm prediction or process parameter optimizing, realize multi-dimensional management.
10. a kind of cigarette machine multidimensional data comprehensive analysis method as claimed in claim 9, it is characterized in that: realizing to all kinds of
The unified storage management of data determines unified Naming conventions, storage lattice first by the business datum of different bottom-up information systems
Formula and field length determine the integrated mode of data among systems, at the same provide the maintenance criterion of system data, configuration standard and
O&M standard forms data of information system administrative provisions.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110083652A (en) * | 2019-04-29 | 2019-08-02 | 西安银石科技发展有限责任公司 | A kind of big data management system/method and application based on data gimbal system |
| CN110134727A (en) * | 2019-04-03 | 2019-08-16 | 清华大学天津高端装备研究院 | A kind of data collection and transmission for serving manufacture execution level |
| CN112508677A (en) * | 2020-11-06 | 2021-03-16 | 无锡艺界科技有限公司 | Financial system based on big data wind accuse |
| CN114647716A (en) * | 2022-05-13 | 2022-06-21 | 天津南大通用数据技术股份有限公司 | Generalization data warehouse |
| CN117351292A (en) * | 2023-12-04 | 2024-01-05 | 安徽省农业科学院烟草研究所 | Tobacco production facility management method and system based on Internet of things |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003108754A (en) * | 2001-09-28 | 2003-04-11 | Japan Tobacco Inc | Demand and supply planning system |
| CN103400226A (en) * | 2013-07-31 | 2013-11-20 | 湖南省烟草公司永州市公司 | Integrated tobacco industry information security, operation and maintenance application platform system |
| CN104732358A (en) * | 2015-04-08 | 2015-06-24 | 贵州省烟草公司毕节市公司 | Tobacco production mobile application management system and method |
| CN107038254A (en) * | 2017-05-04 | 2017-08-11 | 顾杏春 | Cigarette quality monitoring method and device |
| CN107909251A (en) * | 2017-10-31 | 2018-04-13 | 山东中烟工业有限责任公司 | A kind of cigarette machine overall efficiency analysis of Influential Factors method and apparatus |
-
2018
- 2018-08-02 CN CN201810872652.2A patent/CN109242248A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003108754A (en) * | 2001-09-28 | 2003-04-11 | Japan Tobacco Inc | Demand and supply planning system |
| CN103400226A (en) * | 2013-07-31 | 2013-11-20 | 湖南省烟草公司永州市公司 | Integrated tobacco industry information security, operation and maintenance application platform system |
| CN104732358A (en) * | 2015-04-08 | 2015-06-24 | 贵州省烟草公司毕节市公司 | Tobacco production mobile application management system and method |
| CN107038254A (en) * | 2017-05-04 | 2017-08-11 | 顾杏春 | Cigarette quality monitoring method and device |
| CN107909251A (en) * | 2017-10-31 | 2018-04-13 | 山东中烟工业有限责任公司 | A kind of cigarette machine overall efficiency analysis of Influential Factors method and apparatus |
Non-Patent Citations (2)
| Title |
|---|
| 虞文进等: "卷烟工厂信息化建设体系设计", 《工业控制计算机》 * |
| 陈恩等: "制造执行系统(MES)在卷烟制丝生产管理中的应用", 《当代经济》 * |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110134727A (en) * | 2019-04-03 | 2019-08-16 | 清华大学天津高端装备研究院 | A kind of data collection and transmission for serving manufacture execution level |
| CN110134727B (en) * | 2019-04-03 | 2023-11-14 | 清华大学天津高端装备研究院 | Data acquisition and analysis system serving manufacturing execution layer |
| CN110083652A (en) * | 2019-04-29 | 2019-08-02 | 西安银石科技发展有限责任公司 | A kind of big data management system/method and application based on data gimbal system |
| CN112508677A (en) * | 2020-11-06 | 2021-03-16 | 无锡艺界科技有限公司 | Financial system based on big data wind accuse |
| CN114647716A (en) * | 2022-05-13 | 2022-06-21 | 天津南大通用数据技术股份有限公司 | Generalization data warehouse |
| CN117351292A (en) * | 2023-12-04 | 2024-01-05 | 安徽省农业科学院烟草研究所 | Tobacco production facility management method and system based on Internet of things |
| CN117351292B (en) * | 2023-12-04 | 2024-03-08 | 安徽省农业科学院烟草研究所 | Tobacco production facility management method and system based on Internet of things |
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