CN109189818A - The method that a kind of tobacco data granularity under value-added service environment divides - Google Patents

The method that a kind of tobacco data granularity under value-added service environment divides Download PDF

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CN109189818A
CN109189818A CN201810732176.4A CN201810732176A CN109189818A CN 109189818 A CN109189818 A CN 109189818A CN 201810732176 A CN201810732176 A CN 201810732176A CN 109189818 A CN109189818 A CN 109189818A
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data
identification code
granularity
tag identification
region
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CN109189818B (en
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尹健康
张卫东
刘宁
周而强
张迪雅
洪海舟
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Sichuan Tobacco Co Chengdu Co
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Sichuan Tobacco Co Chengdu Co
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    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • G06Q30/0203Market surveys; Market polls

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Abstract

The invention discloses the methods that the tobacco data granularity under a kind of value-added service environment divides, and data are divided into primary sources granularity, secondary sources granularity, third class data granularity, and corresponding arrangement in order, and stamp class-mark label to every a kind of data;Then it is stored in database.When retrieving data, the class-mark label is added automatically before retrieval request data, composition has the retrieval request data of class-mark label;Database calls data when calling data, by class-mark label.Area data is automatically added to class-mark label by permission by the present invention;Database calls data when calling data, by class-mark label, it is possible to reduce Computer Database operand.The granularity of each data of the present invention more refines, and is convenient for data qualification and retrieval.In this way convenient for management of the manager to business of different levels, the data that upper level administrator has the right to check managed whole region are realized by simplest mode, and next stage administrator can not check the effect of data in upper level management.

Description

The method that a kind of tobacco data granularity under value-added service environment divides
Technical field
The present invention relates to a kind of storage of computer data and processing techniques, are especially adapted for use in the data of tobacco flow industry Granularity division method.
Background technique
Since China's smoker's quantity is more, tobacco quantity size is larger, tobacco from cigar mill into smoker's hand, be through Cross complicated and specification logistics system.It is in good order during the guarantee huge tobacco flow of quantity size, it is necessary to establish high The logistics management computing system of effect, i.e. business service system.
By taking the tobacco company of Chengdu as an example, the existing main business system service of Chengdu tobacco company 42.Each application System is designed and develops according to the demand of each operation function administrative department of tobacco business, and the system Construction time is long, across Degree is big, and business demand variation is more.First is that there is " information island, using isolated island " phenomenon between each application system;Second is that magnanimity Data processing mechanism is difficult to meet the requirements;The continuous uplink of the new business such as three mobile oa platforms, the degree of association respectively applied is more Complexity, it is slow that system runs response speed;The integration environment of four none whole recyclings, it is difficult to be excavated using data resource More valuable information can not play effective supporting function to the decision of leaders layer;Fifth is that provincial logistics system is with city It is respectively developed for unit, the logistic information systems disunity in Sichuan Province.
Completely new object, is built up in Chengdu logistics company 2013 in tobacco retail customer 2.5 ten thousand family in Chengdu by dispensed amounts annual 560000 Flow center stores in a warehouse using automated three-dimensional, the dis-tribution model of full-automatic sorting device and fixed route delivery, dispatching Range is except all city cities, and as Internet of Things develops, manager, retailer, consumer are to tobacco flow operating condition state It is proposed more requirements, and existing logistics managing and control system is unable to satisfy the growth requirement of wisdom logistics, intends completing tobacco thus Logistics integrated information control platform.
In tobacco flow platform, since the calculating data volume being related to is very huge, it is also desirable to meet each management Level unit carries out data query by respective data permission, therefore, it is necessary to establish more fully data retention scheme, and each Faster data query scheme when the data query permission of level and each level inquiry data.
Summary of the invention
To solve the above-mentioned problems, the purpose of the present invention is to overcome the shortcomings of the existing technology, provides a kind of suitable for cigarette The data query permission of each level in the more fully data retention scheme and tobacco flow industry of careless logistic industry, and Faster data query scheme when each level inquiry data.
To achieve the above object, the technical solution used in the present invention is:
The method that a kind of tobacco data granularity under value-added service environment divides, the granularity data are divided into the first kind Data granularity, secondary sources granularity, third class data granularity, and corresponding arrangement in order, and class is stamped to every a kind of data Number label;Then it is stored in database.
When retrieving data, the class-mark label is added automatically before retrieval request data, composition has the inspection of class-mark label Rope request data;Database calls data when calling data, by class-mark label.
The method that tobacco data granularity under a kind of value-added service environment as described above divides, further explains and is, The primary sources granularity is area data granularity, and area data granularity is split as more than one level, and with the One region level is highest level, and at least successively generates second area level, third region level, the fourth region layer downwards Grade.
The secondary sources granularity is time data granularity, and time data granularity is split as more than one layer Grade and using first time level as highest level, and at least successively generates downwards the second time level, third time level, the Four time levels.
The third class data granularity is that product advise data granularity.
The method that tobacco data granularity under a kind of value-added service environment as described above divides, further explains and is, The area data granularity is geographic area data granularity, and the primary sources granularity is split as first area level extremely 6th region level is respectively as follows: first area level for administrative city region, and second area level is economic collar region, third area Domain level is branch company region, and the fourth region level is piece region, and the 5th region level is customer manager region, the 6th region Level is client region;And be each region hierarchical arrangement administrator, it is respectively as follows: administrative city Regional Admin, economic collar region pipe Reason person, branch company Regional Admin, section Regional Admin, customer manager Regional Admin, client region administrator.
The secondary sources granularity is time data granularity, and first time level is annual time, the second time horizon Grade be six months, time in season third time, the 4th time level are the time in month, and the 5th time level is the time in ten days, the Six time levels are Time of Day.
The third class data granularity is that product advise data granularity, and dividing separately includes: place of production type, manufacturing enterprise, brand, cigarette Careless specification.
The method that tobacco data granularity under a kind of value-added service environment as described above divides, further explains and is, The administration city region sets the first tag identification code, and economic collar region sets the second tag identification code, and branch company region sets third Tag identification code, piece region set the 4th tag identification code, and customer manager region sets the 5th tag identification code, client region setting the Six tag identification codes;Wherein, include the second tag identification code in the first tag identification code, include third label generation in the second tag identification code Code, it includes the 5th tag identification code, the 5th tag identification code in the 4th tag identification code that interior third tag identification code, which includes the 4th tag identification code, It inside include the 6th tag identification code.
The annual time includes time in month, the moon comprising time in season, time in season comprising six months, six months Part time includes the time in ten days, and the time in ten days includes Time of Day.
The method that tobacco data granularity under a kind of value-added service environment as described above divides, further explains and is, The administration city Regional Admin, which has, to be called in database comprising all data for being set with the first tag identification code, economic circle area Domain administrator, which has, to be called comprising all data for being set with the second tag identification code in database, and branch company Regional Admin has Calling includes all data for being set with third tag identification code in database, and section Regional Admin, which has, calls packet in database Containing all data for being set with the 4th tag identification code, customer manager Regional Admin, which has, to be called in database comprising all settings There are the data of the 5th tag identification code, client region administrator, which has to call in database, is set with the 6th tag identification code comprising all Data.
The method that tobacco data granularity under a kind of value-added service environment as described above divides, further explains and is, When retrieving data, the class-mark label is added automatically before retrieval request data, composition has the retrieval request number of class-mark label According to;Database calls data when calling data, by class-mark label;Specifically, when administrative city Regional Admin retrieves data, it is raw At retrieval request data before automatically add the first tag identification code data, economic circle Regional Admin retrieve data when, generate Retrieval request data before automatically add the second tag identification code data, branch company Regional Admin retrieve data when, generation Automatically the data that third tag identification code is added before retrieval request data, when section Regional Admin retrieves data, the retrieval of generation Automatically the data that the 4th tag identification code is added before request data, when customer manager Regional Admin retrieves data, the retrieval of generation Automatically the data that the 5th tag identification code is added before request data, when client region administrator retrieves data, the retrieval request of generation Automatically the data of the 6th tag identification code are added before data.
Beneficial effects of the present invention:
Flexible analysis model is established, which can independently define the analytical statement needed for oneself, effectively reduce base Statistician's working strength is analyzed, is improved work efficiency.
Area data is automatically added to class-mark label by permission by the present invention;Database is when calling data, by class-mark label Call data, it is possible to reduce Computer Database operand.
Business analyst is set to come from a completely new, three-dimensional, comprehensive visual angle using data, to excite Business analyst's dynamic role and creativeness excavate value bigger in data resource.
The integration and utilization to mass data are completed by cloud computing, provides powerful service system;By integrating base Plinth operation and management and monitoring are integrated, realize the logistics information of various dimensions can perceive, can supervise, can early warning, can appraise through comparison, for realize Precisely efficient enterprise operation analysis and administrative decision play crucial Information Assurance and support.
The present invention is directed to the data characteristics of tobacco business, can be standardized and establish system data, reach data sharing Condition.
Data processing method of the present invention is conducive to integrate the various resources such as calculating, network and storage of tobacco business, is formed One powerful service system provides support for the information service customization of business scope, and the maintenance workload of information system subtracts significantly It is few, it is fast-developing to meet every business.
Data processing method of the present invention has formulated tobacco data standard and specification, establishes the quality of data, safety, data life Cycle management method, conducive to tobacco business big data data center basic framework is formed.
Data processing method of the present invention is able to satisfy the needs of not commensurate's difference office sections staff, and conveniently from now on Carry out the extension and redevelopment of other systems;Logistics control platform realizes covering province, city's two stage application main body, and perforation logistics is made The information systems of three industry, management and decision levels realize region-wide logistics information integration.
Data processing foundation of the present invention meets Chengdu tobacco data model, and the dimension of data is: mechanism, time, cigarette 3 The granularity of dimension, each dimension more refines, and is minimum particle size.Convenient for data qualification and retrieval.
Information interface is applied and is flexibly analyzed different according to used data granularity the characteristics of function itself.Mechanism The granularity of dimension refine to customer manager, client by original section, in this way convenient for the manager of different levels to the pipe of business Reason;The granularity of cigarette refine to specification by brand, it is possible to provide more value-added services and formulate reasonable effective marketing strategy.And And differently data retrieval tag identification code is automatically generated for different administrators, corresponding data class is obtained using administrator Type, and upper level administrator contains the tag identification code of next stage administrator, therefore realizes upper one by simplest mode Grade administrator has the right to check the data of managed whole region, and next stage administrator can not check data in upper level management Effect.
In terms of analyzing statistics, the implacable data statistics demand of operation system is met, such as ring layer data statistics, directly Battalion shop belongs to branch company's statistics, the inquiry of same day real-time demand month to date, historical trend etc., while these analysis statistics relative business System has better performance.Including the customized application and expansion application demand to meet tobacco business personality analysis needs Self-service application.The characteristics of customized application includes subject analysis and real time monitoring, customized application be show style and content close to The real work at family realizes that purpose is the working strength for reducing business analyst, improves working efficiency.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with the specific embodiment of the invention pair Technical solution of the present invention is clearly and completely described.
Embodiment 1:
Granularity data of the present invention has divided primary sources granularity, secondary sources granularity, third class data grain Degree, and corresponding arrangement in order, and class-mark label is stamped to every a kind of data;Then it is stored in database.
Wherein primary sources granularity is area data granularity, and area data granularity is split as more than one level, And using first area level as highest level, and second area level, third region level, the 4th area are at least successively generated downwards 6 levels are arranged in the present embodiment for domain level, are respectively as follows: first area level for administrative city region, second area level is warp Help collar region, and third region level is branch company region, and the fourth region level is piece region, and the 5th region level is client's warp Region is managed, the 6th region level is client region;And be each region hierarchical arrangement administrator, it is respectively as follows: administrative city's district management Member, economic circle Regional Admin, branch company Regional Admin, section Regional Admin, customer manager Regional Admin, client area Domain administrator.Administrator's quantity planned number of each region level is unlimited fixed, there is multiple administrators.
Administrative city region sets the first tag identification code, and economic collar region sets the second tag identification code, the setting of branch company region Third tag identification code, piece region set the 4th tag identification code, and customer manager region sets the 5th tag identification code, and client region is set Fixed 6th tag identification code.
Such as: the first tag identification code N, the second tag identification code are N1, and third tag identification code is N17, the 4th tag identification code N17s, the 5th tag identification code are N17s5, the 6th tag identification code N17s56.It wherein, included the second label generation in the first tag identification code Code, it includes the 4th tag identification code, the 4th tag identification code in third tag identification code that interior the second tag identification code, which includes third tag identification code, Inside include the 5th tag identification code, includes the 6th tag identification code in the 5th tag identification code.
Administrative city Regional Admin, which has, to be called comprising all data for being set with the first tag identification code in database, economical Collar region administrator, which has, to be called in database comprising all data for being set with the second tag identification code, branch company Regional Admin It include all data for being set with third tag identification code in database with calling, section Regional Admin, which has, calls database Interior includes all data for being set with the 4th tag identification code, and customer manager Regional Admin, which has, to be called in database comprising all The data of the 5th tag identification code are set with, client region administrator, which has to call in database, is set with the 6th label comprising all The data of code.
Specific way is to be directed to area data granularity, for example, there are two client region administrator (the first client regions Administrator, the second client region administrator), the first client region administrator sets the 6th tag identification code as N.1.7.s.5.6, because This, for the first client region administrator in logging data, it includes data N.1.7.s.5.6 that the data of institute's typing, which automatically generate, Code.Second client region administrator sets the 6th tag identification code as N.1.7.s.5.0, therefore, the second client region administrator In logging data, it includes data code N.1.7.s.5.0 that the data of institute's typing, which automatically generate,.
Wherein secondary sources granularity is time data granularity, and time data granularity is split as more than one level, And using first time level as highest level, and at least successively downwards generate the second time level, third time level, the 4th when Between level;The secondary sources granularity is time data granularity, and first time level is annual time, the second time level It is the time in month for six months, time in season third time, the 4th time level, the 5th time level is the time in ten days, the 6th Time level is Time of Day;The annual time includes the moon comprising time in season, time in season comprising six months, six months Part time, time in month include the time in ten days, and the time in ten days includes Time of Day.
Specific way is to be directed to time data granularity, for example, on May 24th, 2016, can solve setting time code is 2016.1.2.5.3.25, data code from left to right successively represents yes: wherein 2016 be annual time, and the 1 of the 5th is The first half of the year is referred to, the 2 of the 6th are to refer to the second quarter, and the 5 of the 7th represent May, and the 3 of the 8th represent last ten-days period this month, most 25 afterwards represent 25.
Wherein third class data granularity is that product advise data granularity, and dividing separately includes: place of production type, manufacturing enterprise, brand, tobacco Specification.It numbers, and is added in overall data code in the usual way herein, numbering is freely numbered, such as scj25, can be managed Solution is place of production type: Sichuan, manufacturing enterprise: Chengdu Cigarette Factory, brand: certain brand, specification: 20 conventional dresses.
The code regulation of primary sources granularity, secondary sources granularity, third class data granularity is accordingly arranged in order Column merge, and stamp class-mark label, just generate last data, be then stored in database.It is carried out by above-mentioned listed example In conjunction with the result of generation are as follows:<N.1.7.s.5.0>,<2016.1.2.5.3.25>,<scj25>.
When retrieving data, the class-mark label is added automatically before retrieval request data, composition has the inspection of class-mark label Rope request data;Database calls data when calling data, by class-mark label.Specifically, administrative city Regional Admin retrieval When data, the data of the first tag identification code are added before the retrieval request data of generation automatically, economic circle Regional Admin retrieves number According to when, the data of the second tag identification code are added before the retrieval request data of generation automatically, branch company Regional Admin retrieves data When, the data of third tag identification code are added before the retrieval request data of generation automatically, it is raw when section Regional Admin retrieves data At retrieval request data before add the data of the 4th tag identification code automatically, it is raw when customer manager Regional Admin retrieves data At retrieval request data before automatically add the 5th tag identification code data, client region administrator retrieve data when, generation Automatically the data of the 6th tag identification code are added before retrieval request data.
Specific way is to be directed to area data granularity, for example, there are two client region administrator (the first client regions Administrator, the second client region administrator), the first client region administrator sets the 6th tag identification code as N.1.7.s.5.6, because This, for the first client region administrator when retrieving data, it includes data generation N.1.7.s.5.6 that retrieved data, which automatically generate, Code.Second client region administrator sets the 6th tag identification code as N.1.7.s.5.0, therefore, the second client region administrator exists When retrieving data, automatically generating includes retrieval data N.1.7.s.5.0.And the customer manager region in a upper level is managed When reason person retrieves data the retrieval coding that generates be then N.1.7.s.5, wherein code N.1.7.s.5 contain N.1.7.s.5.6, N.1.7.s.5.0 retrieval data.Therefore, in data call, customer manager's Regional Admin's finite weight calls the first client The data of Regional Admin, the second client region administrator, and the first client region administrator can not call the second client region The data of administrator or customer manager Regional Admin.Therefore notebook data processing method can provide not for different administrators Same permission, while present invention retrieval data mode operand is few, occupies operation memory less.
This exemplary technology using following technological accumulation and inheritance and uses scheme:
All application system data can be shared.
The static data holding time 3 years, dynamic data was updated to the same day, and memory space 5T is, it can be achieved that data storage, analysis And excavation, and there is cloud computing ability.
It can support the mobile data access mode by PC, tablet computer, smart phone, data television etc. by all kinds of means.
The various resources such as calculating, network and the storage of this area tobacco business are integrated, a powerful service system is formed, Support is provided for the information service customization of business scope, server and data storage are respectively positioned on using inside unit firewall, Safety is guaranteed.
This area tobacco business data standard and specification are formulated, the quality of data, safety, Data lifecycle management is established and does Method forms regional tobacco business big data data center basic framework, is regional tobacco business information system integration sum number According to shared basic guarantee, it is inherently eliminated " information island " of each operation system.
By the combing and analysis to regional tobacconist's industry business, Enterprise Data model is established, and is tied based on this The each department's data analysis application demand for closing acquisition establishes ODS, EDW and DM data model, is considering the same of model scalability When take into account the flexibility of model and the performance of data query again, the key technology of data modeling is related to data area, data granularity.
Data area is related to two parts of inside and outside data source, and time span increases, and amount of metadata is complicated and more.Outside Portion's data include: planned target data, marketing personnel's information data, to mark data, protocol data etc.;The inside system of data integration The system mainly sales data of marketing system, net build data etc., case, licensing and the facility personnel's data of franchise system etc., Sorting, allocation data of logistics system etc..Because of the limitation of storage space of database, company of core business data city series at present It is 2007-2015 years according to span, section -- branch company's grade span data is 2010-2015 years, client -- customer manager's series It is 2013-2015 years according to span.Specific in conjunction with Chengdu tobacco business metadata, Chengdu tobacco integrated information management platform is the most The supplement of system data inquiry, analysis, the dimension of data is: 3 mechanism, time, cigarette dimensions are provided for administrative decision layer and are looked into Ask function.
Information interface is applied and is flexibly analyzed different according to used data granularity the characteristics of function itself.Mechanism The granularity of dimension refine to customer manager, client by original section, in this way convenient for the manager of different levels to the pipe of business Reason;The granularity of cigarette refine to specification by brand, it is possible to provide more value-added services and formulate reasonable effective marketing strategy.
In terms of analyzing statistics, the implacable data statistics demand of operation system is met, such as ring layer data statistics, directly Battalion shop belongs to branch company's statistics, the inquiry of same day real-time demand month to date, historical trend etc., while these analysis statistics relative business System has better performance.Including for meet Chengdu tobacco personality analysis needs customized application and Chengdu tobacco expand answer With the self-service application of demand.The characteristics of customized application includes subject analysis and real time monitoring, customized application is show style and interior Hold the real work being close to the users, realizes that purpose is the working strength for reducing business analyst, improves working efficiency.
Above embodiment is used to illustrate the present invention, rather than limits the invention, in spirit of the invention In scope of protection of the claims, to any modifications and changes that the present invention makes, protection scope of the present invention is both fallen within.

Claims (6)

1. the method that the tobacco data granularity under a kind of value-added service environment divides, which is characterized in that the granularity data is drawn It is divided into primary sources granularity, secondary sources granularity, third class data granularity, and corresponding arrangement in order, and to every one kind Data stamp class-mark label;Then it is stored in database;
When retrieving data, the class-mark label is added automatically before retrieval request data, composition is asked with the retrieval of class-mark label Seek data;Database calls data when calling data, by class-mark label.
2. the method that the tobacco data granularity under a kind of value-added service environment as described in claim 1 divides, which is characterized in that The primary sources granularity is area data granularity, and area data granularity is split as more than one level, and with the One region level is highest level, and at least successively generates second area level, third region level, the fourth region layer downwards Grade;The secondary sources granularity is time data granularity, and time data granularity is split as more than one level, and with First time level is highest level, and at least successively generates the second time level, third time level, the 4th time horizon downwards Grade;The third class data granularity is that product advise data granularity.
3. the method that the tobacco data granularity under a kind of value-added service environment as claimed in claim 2 divides, which is characterized in that The area data granularity is geographic area data granularity, and the primary sources granularity is split as first area level extremely 6th region level is respectively as follows: first area level for administrative city region, and second area level is economic collar region, third area Domain level is branch company region, and the fourth region level is piece region, and the 5th region level is customer manager region, the 6th region Level is client region;And be each region hierarchical arrangement administrator, it is respectively as follows: administrative city Regional Admin, economic collar region pipe Reason person, branch company Regional Admin, section Regional Admin, customer manager Regional Admin, client region administrator;
The secondary sources granularity is time data granularity, and first time level is annual time, and the second time level is Six months, time in season third time, the 4th time level are the time in month, and the 5th time level is the time in ten days, when the 6th Between level be Time of Day;
The third class data granularity is that product advise data granularity, and dividing separately includes: place of production type, manufacturing enterprise, brand, tobacco rule Lattice.
4. the method that the tobacco data granularity under a kind of value-added service environment as claimed in claim 3 divides, which is characterized in that The administration city region sets the first tag identification code, and economic collar region sets the second tag identification code, and branch company region sets third Tag identification code, piece region set the 4th tag identification code, and customer manager region sets the 5th tag identification code, client region setting the Six tag identification codes;Wherein, include the second tag identification code in the first tag identification code, include third label generation in the second tag identification code Code, it includes the 5th tag identification code, the 5th tag identification code in the 4th tag identification code that interior third tag identification code, which includes the 4th tag identification code, It inside include the 6th tag identification code;
The annual time include six months, six months include time in season, time in season include the time in month, when month Between include the time in ten days, the time in ten days include Time of Day.
5. the method that the tobacco data granularity under a kind of value-added service environment as claimed in claim 4 divides, which is characterized in that The administration city Regional Admin, which has, to be called in database comprising all data for being set with the first tag identification code, economic circle area Domain administrator, which has, to be called comprising all data for being set with the second tag identification code in database, and branch company Regional Admin has Calling includes all data for being set with third tag identification code in database, and section Regional Admin, which has, calls packet in database Containing all data for being set with the 4th tag identification code, customer manager Regional Admin, which has, to be called in database comprising all settings There are the data of the 5th tag identification code, client region administrator, which has to call in database, is set with the 6th tag identification code comprising all Data.
6. the method that the tobacco data granularity under a kind of value-added service environment as claimed in claim 5 divides, which is characterized in that When retrieving data, the class-mark label is added automatically before retrieval request data, composition has the retrieval request number of class-mark label According to;Database calls data when calling data, by class-mark label;Specifically, when administrative city Regional Admin retrieves data, it is raw At retrieval request data before automatically add the first tag identification code data, economic circle Regional Admin retrieve data when, generate Retrieval request data before automatically add the second tag identification code data, branch company Regional Admin retrieve data when, generation Automatically the data that third tag identification code is added before retrieval request data, when section Regional Admin retrieves data, the retrieval of generation Automatically the data that the 4th tag identification code is added before request data, when customer manager Regional Admin retrieves data, the retrieval of generation Automatically the data that the 5th tag identification code is added before request data, when client region administrator retrieves data, the retrieval request of generation Automatically the data of the 6th tag identification code are added before data.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111047295A (en) * 2019-12-13 2020-04-21 红云红河烟草(集团)有限责任公司 Data acquisition method for cigarette shred making processing process

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1535433A (en) * 2001-07-04 2004-10-06 库吉萨姆媒介公司 Category based, extensible and interactive system for document retrieval
US20060206507A1 (en) * 2005-02-16 2006-09-14 Dahbour Ziyad M Hierarchal data management
CN101706926A (en) * 2009-11-25 2010-05-12 河南省烟草公司鹤壁市公司 Method for investigating and processing cigarette consumption information
CN101989301A (en) * 2010-10-22 2011-03-23 复旦大学 Index maintenance method for supporting multiple data sources
CN104268254A (en) * 2014-10-09 2015-01-07 浪潮电子信息产业股份有限公司 Security state analysis and statistics method
CN105677486A (en) * 2016-01-08 2016-06-15 上海交通大学 Data parallel processing method and system
CN106407445A (en) * 2016-09-29 2017-02-15 重庆邮电大学 Unstructured data resource identification and locating method based on URL (Uniform Resource Locator)
CN106600103A (en) * 2016-11-04 2017-04-26 国网江苏省电力公司 Statistic data model building method facing programs, plans, and decisions
CN107957718A (en) * 2016-10-17 2018-04-24 费希尔-罗斯蒙特系统公司 Method and apparatus for the remote access of configuration process control data

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1535433A (en) * 2001-07-04 2004-10-06 库吉萨姆媒介公司 Category based, extensible and interactive system for document retrieval
US20060206507A1 (en) * 2005-02-16 2006-09-14 Dahbour Ziyad M Hierarchal data management
CN101706926A (en) * 2009-11-25 2010-05-12 河南省烟草公司鹤壁市公司 Method for investigating and processing cigarette consumption information
CN101989301A (en) * 2010-10-22 2011-03-23 复旦大学 Index maintenance method for supporting multiple data sources
CN104268254A (en) * 2014-10-09 2015-01-07 浪潮电子信息产业股份有限公司 Security state analysis and statistics method
CN105677486A (en) * 2016-01-08 2016-06-15 上海交通大学 Data parallel processing method and system
CN106407445A (en) * 2016-09-29 2017-02-15 重庆邮电大学 Unstructured data resource identification and locating method based on URL (Uniform Resource Locator)
CN107957718A (en) * 2016-10-17 2018-04-24 费希尔-罗斯蒙特系统公司 Method and apparatus for the remote access of configuration process control data
CN106600103A (en) * 2016-11-04 2017-04-26 国网江苏省电力公司 Statistic data model building method facing programs, plans, and decisions

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
O.CORDON ET AL.: "A genetic learning process for the scaling factors, granularity and contexts of the fuzzy rule-based system data base", 《INFORMATION SCIENCES》 *
TSAU YOUNG LIN ET AL.: "Knowledge Based Search Engine: Granular Computing on the Web", 《2008 IEEE/WIC/ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE AND INTELLIGENT AGENT TECHNOLOGY》 *
徐计 等: "基于粒计算的大数据处理", 《计算机学报》 *
戴国华: "数据仓库技术在铁路数据资源整合中的应用研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111047295A (en) * 2019-12-13 2020-04-21 红云红河烟草(集团)有限责任公司 Data acquisition method for cigarette shred making processing process
CN111047295B (en) * 2019-12-13 2023-04-07 红云红河烟草(集团)有限责任公司 Data acquisition method for cigarette shred manufacturing process

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