CN109597958A - A kind of retail data automatically processes identifying system and implementation method - Google Patents

A kind of retail data automatically processes identifying system and implementation method Download PDF

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Publication number
CN109597958A
CN109597958A CN201811416492.7A CN201811416492A CN109597958A CN 109597958 A CN109597958 A CN 109597958A CN 201811416492 A CN201811416492 A CN 201811416492A CN 109597958 A CN109597958 A CN 109597958A
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CN
China
Prior art keywords
data
classification
retail
automatically
processing
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Pending
Application number
CN201811416492.7A
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Chinese (zh)
Inventor
刘红
赵健民
肖洒
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Shanghai Amit Data System Co Ltd
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Shanghai Amit Data System Co Ltd
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Priority to CN201811416492.7A priority Critical patent/CN109597958A/en
Priority to CN202111106647.9A priority patent/CN113792246A/en
Publication of CN109597958A publication Critical patent/CN109597958A/en
Pending legal-status Critical Current

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Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/958Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
    • 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
    • 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
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]

Abstract

The invention discloses a kind of retail datas to automatically process identifying system, the following steps are included: the retail data automatically processes identifying system and its implementation, the data automatic identification main program module, identifying processing is carried out to downloading data, the data recognition processing module, according to preset retail customer's classification, bills data classification, carry out the processing of data classification automatic identification, the data recognition processing module, according to the retail customer's bills data type for the recognition failures that main program summarizes automatically, automatic identification again is carried out to the data of recognition failures;The website source data bases module, after data loading success, auto-returned is put in storage as a result, task terminates.The retail data automatically processes identifying system and its implementation, the retail data automatically processes identifying system and its implementation, can carry out independent identification by supplier, retailer, then similar document is standardized, automatically processing identification, and classified and stored are carried out to merchant data.

Description

A kind of retail data automatically processes identifying system and implementation method
Technical field
The present invention relates to database preparation identifying system technical field, specially a kind of retail data automatically processes identification System and its implementation.
Background technique
Zero for the business contact of both sides is all by all kinds of document operations, such as order, receiving note, returning note, and there are also one A little data sharings, such as POS is sold in fact, inventory data, the document and data format, type, presentation mode of each vendor web site It is different, after supplier obtains these information, needs manually to carry out document name, stores classifiedly.
It since more than retailer and document, data type are more, format is different, is identified cumbersome, and is not easy whole by artificial treatment Reason, can not integrate similar document, data.So it is proposed that a kind of retail data automatically processes identifying system and in fact Existing method, in order to solve the problems, such as to propose among the above.
Summary of the invention
The purpose of the present invention is to provide a kind of retail datas to automatically process identifying system, is mentioned with solving above-mentioned background technique It out since more than retailer and document, data type are more, format is different, is identified by artificial treatment cumbersome, and is not easy to arrange, it can not The problem of similar document, data are integrated.
To achieve the above object, the invention provides the following technical scheme: a kind of retail data automatically processes identifying system, packet Include following steps:
The data automatic identification main program module, after carrying out data downloading on website, starting operation starts pair Downloading data carries out identifying processing;
The data preset rules module, are made of retail customer, a bills data classification point library two parts;
The data recognition processing module classifies according to preset retail customer's classification, bills data, carries out data point The processing of class automatic identification, is then stored by classification point library principle to independent website firsthand information library after identifying successfully, if data are certainly Dynamic identifying processing is unsuccessful, and main program summarizes retail customer's bills data type of recognition failures automatically, remembers as implementing result In record write-in log sheet, main program is automatically reminded to supplementary maintenance classification point library principle;
The data recognition processing module, according to the retail customer's bills data class for the recognition failures that main program summarizes automatically Type after supplementary maintenance divides library principle, carries out automatic identification again to the data of recognition failures again, stores after identifying successfully Into website firsthand information library;
The website source data bases module, after data loading success, auto-returned is put in storage as a result, as knot is executed In fruit record write-in log sheet, single data automatic identification processing task terminates.
Preferably, what the default rules module of the data was artificial carries out the pre- of classification point library to retail customer and bills data If changing numerical value, the adjustment of data is carried out.
Preferably, the data identifying processing template process range: retail customer's classification, bills data classification etc. are automatic to be known Other places reason, and automatically process and obtain and identify the successfully processing result with two kinds of recognition failures.
Preferably, the data identifying processing template divides library principle to store to independent the successful data of identification by classification In the firsthand information library of website, to the abnormal document types of recognition failures, as implementing result summary record into record sheet, and After supplementary maintenance divides library principle, the data of recognition failures are again identified that again, storage is to independently after identifying successfully Website firsthand information library in.
A kind of retail data automatically processes identifying system and its implementation, it is characterised in that: the following steps are included:
After data are downloaded from website, data automatic identification main program is directly initiated, just by identification main program Data after downloading can be carried out with automatically identification work, the classification of type and range of setting data identification;
According to preset retail customer's classification, bills data classification, the processing of data classification automatic identification is carried out, is identified as Then divide in the storage to independent website firsthand information library of library principle by classification after function, conveniently artificially carry out the inquiry of data and makes With;
The data of various downloadings carry out retail customer's classification, the processing of bills data Classification and Identification and preset retail automatically Client segmentation standard, bills data classification standard carry out identifying processing, and the data of downloading are obtained with different identifying processing knots Fruit: it identifies successfully and recognition failures;
Identifying processing is the downloading data of " success ", divides principle storage in library to independent website firsthand information library by classification;
It is the downloading data of " failure " for identifying processing result, the retail customer that main program summarizes recognition failures automatically is single It according to data type, is recorded in write-in log sheet as implementing result, while main program is automatically reminded to supplementary maintenance classification point library original Then, retail customer's bills data type of the recognition failures summarized automatically according to main program, after supplementary maintenance divides library principle, Again automatic identification again is carried out to the data of recognition failures, storage is into website firsthand information library after identifying successfully;
After data loading success, auto-returned storage as implementing result as a result, record in write-in log sheet, single number Terminate according to automatic identification processing task, opens and automatic identification processing is carried out to next data.
Preferably, the data preset principle and carry out classification point library to retail customer, bills data by artificial.
Preferably, the process range of the data recognition processing module: retail customer's classification of website downloading data and list According to two class of data classification.
Preferably, the data recognition processing module carries out the storage of classification point library principle to independence to the successful data of identification Website firsthand information library, abnormal aggregation process is carried out to the unsuccessful data of identifying processing, and be recognized, arrives data Being put in storage after identifying successfully terminates.
Compared with prior art, the beneficial effects of the present invention are: the retail data automatically processes identifying system and its realization Method can be carried out independent identification, then similar document be standardized by supplier, retailer, automatically to merchant data at Reason identification, and classified and stored, improve the accuracy and convenience of retail data identification, and the auxiliary operation for reducing manpower takes time and effort It carrying out, avoids manpower identification comparison of classification specified rule and data, the data discriminance analysis speed that will cause is slow, low efficiency, The generation for causing data recognition errors problem, for the abnormal data of " recognition failures ", first carries out single after data discriminance analysis According to summarizing automatically for type, after subsequent supplementary maintenance divides library principle, the data of recognition failures are carried out again automatic again Identification divides principle storage in library to independent website firsthand information library, facilitates the application of data after data identify successfully by classification It checks, carries out the identifying processing of next track data.
Detailed description of the invention
Fig. 1 is that a kind of retail data of the present invention automatically processes identifying system overall schematic;
Fig. 2 is that a kind of retail data of the present invention automatically processes the default principle library schematic diagram in identifying system classification point library;
Fig. 3 is that a kind of retail data of the present invention automatically processes identifying system implementation method schematic diagram.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall within the protection scope of the present invention.
Embodiment 1
The present embodiment 1 provides a kind of retail data and automatically processes identifying system, referring to FIG. 1-2, includes the website of data Acquisition, data automatic identification main program, classification point library preset principle, data identifying processing, abnormal document types summarize automatically, net Source data bases, log recording stand as a result, following describe to above system in detail.
The data on website are downloaded by the acquisition of data, the automatic identification master of log-on data after data downloading Program starts to carry out identifying processing to the data of downloading, passes through the artificial restriction and control for dividing library to preset principle: retail visitor Family classification and bills data are classified two kinds, are analyzed and processed in the processing module of data identification to the data of downloading, first to know It is not determined as successful data, directly saves and store according to the principle for dividing library to classify into independent website firsthand information library, and Identification decision is unsuccessful data, carries out summarizing automatically for abnormal document types, the automatic summarized results of data type is protected It is stored in log recording result, while the classification point library principle that the abnormal bills data after summarizing automatically carries out data being mended It fills, automatic identification again is carried out to the data to recognition failures again, store after data identify successfully to website firsthand information In library, data loading success, auto-returned storage as implementing result as a result, record in write-in log sheet, single data are automatic Identifying processing task terminates, and then analyze using identifying processing to the data of next website downloading, realizes downloading data Continue, the processing of quick discriminance analysis.
Embodiment 2
It is corresponding that identifying system is automatically processed with a kind of retail data that embodiment 1 provides, and the present embodiment 2 provides one kind zero The implementation method of database preparation identifying system is sold, referring to Fig. 3, the following steps are included:
Step 1: after data are downloaded from website, directly initiating data automatic identification main program, led by identification Program can carry out automatically identification work to the data after downloading, and the classification of type and range of setting data identification pass through Computer setting program reduces the generation of identification error and mistake, facilitates the quick of data so that the identification of data is more accurate Identification operation carries out;
Step 2: classified according to preset retail customer's classification, bills data, carries out the processing of data classification automatic identification, It is then stored by classification point library principle into independent website firsthand information library after identifying successfully, the convenient artificial inquiry for carrying out data With use;
Step 3: the data of various downloadings carry out retail customer's classification, the processing of bills data Classification and Identification automatically, and default Retail customer's classification standard, bills data classification standard carry out identifying processing, the data of downloading are obtained with different identification Processing result: it identifies successfully and recognition failures, different recognition result methods is carried out to different recognition results and is handled;
Step 4: identifying processing is the downloading data of primary " success ", is directly stored in independent net by classification point library principle It stands firsthand information library, artificial lookup is facilitated to use the data;
Step 5: being the downloading data of " failure " for identifying processing result, main program summarizes the retail of recognition failures automatically Client's bills data type records in write-in log sheet as implementing result, while main program is automatically reminded to supplementary maintenance classification Divide library principle, according to the retail customer's bills data type for the recognition failures that main program summarizes automatically, supplementary maintenance divides library After principle, automatic identification again is carried out to the data of recognition failures again, is stored after repeatedly identifying successfully to the original money in website Expect in library;
Step 6: after data loading success, auto-returned storage is written in log sheet as a result, recording as implementing result, Single data automatic identification processing task terminates, and opens and carries out automatic identification processing to next data.
Although the present invention is described in detail referring to the foregoing embodiments, for those skilled in the art, It is still possible to modify the technical solutions described in the foregoing embodiments, or part of technical characteristic is carried out etc. With replacement, all within the spirits and principles of the present invention, any modification, equivalent replacement, improvement and so on should be included in this Within the protection scope of invention.

Claims (8)

1. a kind of retail data automatically processes identifying system, it is characterised in that: the following steps are included:
The data automatic identification main program module, after carrying out data downloading on website, starting operation starts to downloading Data carry out identifying processing;
The data preset rules module, are made of retail customer, a bills data classification point library two parts;
The data recognition processing module classifies according to preset retail customer's classification, bills data, carries out data classification certainly Dynamic identifying processing, is then stored by classification point library principle to independent website firsthand information library, if data are known automatically after identifying successfully Other places reason is unsuccessful, and main program summarizes retail customer's bills data type of recognition failures automatically, writes as implementing result record Enter in log sheet, main program is automatically reminded to supplementary maintenance classification point library principle;
The data recognition processing module, according to the retail customer's bills data type for the recognition failures that main program summarizes automatically, After supplementary maintenance divides library principle, automatic identification again is carried out to the data of recognition failures again, stores and arrives after identifying successfully In the firsthand information library of website;
The website source data bases module, after data loading success, auto-returned storage as implementing result as a result, remember In record write-in log sheet, single data automatic identification processing task terminates.
2. a kind of retail data according to claim 1 automatically processes identifying system, it is characterised in that: the data are default The artificial default change numerical value that classification point library is carried out to retail customer and bills data of rules module, carries out the adjustment of data.
3. a kind of retail data according to claim 1 automatically processes identifying system, it is characterised in that: the data identification Processing template process range: the automatic identifications processing such as retail customer's classification, bills data classification, and automatically process and obtain and be identified as Function and two kinds of recognition failures of processing result.
4. a kind of retail data according to claim 1 automatically processes identifying system, it is characterised in that: the data identification Processing template is divided in the storage to independent website firsthand information library of library principle the successful data of identification by classification, to recognition failures Abnormal document types, as implementing result summary record into record sheet, and after supplementary maintenance divides library principle, again The data of recognition failures are again identified that, after identifying successfully in storage to independent website firsthand information library.
5. a kind of retail data automatically processes identifying system and its implementation, it is characterised in that: the following steps are included:
After data are downloaded from website, data automatic identification main program is directly initiated, by identifying main program Automatically identification work, the classification of type and range of setting data identification are carried out to the data after downloading;
According to preset retail customer's classification, bills data classification, the processing of data classification automatic identification is carried out, after identifying successfully Then divide in the storage to independent website firsthand information library of library principle by classification, the convenient artificial inquiry and use for carrying out data;
The data of various downloadings carry out retail customer's classification, the processing of bills data Classification and Identification and preset retail customer automatically Classification standard, bills data classification standard carry out identifying processing, and the data of downloading are obtained with different identifying processing results: knowing Not Cheng Gong and recognition failures;
Identifying processing is the downloading data of primary " success ", is directly stored in independent website firsthand information by classification point library principle Library;
It is the downloading data of " failure " for identifying processing result, main program summarizes retail customer's document number of recognition failures automatically It according to type, is recorded in write-in log sheet as implementing result, while main program is automatically reminded to supplementary maintenance classification point library principle, root According to the retail customer's bills data type for the recognition failures that main program summarizes automatically, after supplementary maintenance divides library principle, again Automatic identification again is carried out to the data of recognition failures, storage is into website firsthand information library after identifying successfully;
After data loading success, auto-returned storage as implementing result as a result, record in write-in log sheet, and single data are certainly Dynamic identifying processing task terminates, and opens and carries out automatic identification processing to next data.
6. a kind of retail data according to claim 5 automatically processes identifying system and its implementation, it is characterised in that: The data preset principle and carry out classification point library to retail customer, bills data by artificial.
7. a kind of retail data according to claim 5 automatically processes identifying system and its implementation, it is characterised in that: The process range of the data recognition processing module: the retail customer's classification and bills data two classes of classification of website downloading data.
8. a kind of retail data according to claim 5 automatically processes identifying system and its implementation, it is characterised in that: The data recognition processing module carries out the storage of classification point library principle to independent website firsthand information to the successful data of identification Library carries out abnormal aggregation process to the unsuccessful data of identifying processing, and is recognized, and is put in storage after identifying successfully to data Terminate.
CN201811416492.7A 2018-11-26 2018-11-26 A kind of retail data automatically processes identifying system and implementation method Pending CN109597958A (en)

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CN202111106647.9A CN113792246A (en) 2018-11-26 2018-11-26 Retail data automatic processing and identifying system and implementation method

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CN101777148A (en) * 2010-01-14 2010-07-14 中国建设银行股份有限公司 Management method, management system for bill receiving commercial customers and management server equipment for commercial customers
CN103020782A (en) * 2012-12-25 2013-04-03 远光软件股份有限公司 Automatic identification-extraction method and system for internal connected transactions
CN106203872A (en) * 2016-07-20 2016-12-07 太仓安顺财务服务有限公司 A kind of business finance exchange management method

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060277203A1 (en) * 2003-09-09 2006-12-07 Frank Uittenbogaard Method of providing tree-structured views of data
CN101158977A (en) * 2007-11-21 2008-04-09 金蝶软件(中国)有限公司 Method and system for processing multiple services bills data
CN101777148A (en) * 2010-01-14 2010-07-14 中国建设银行股份有限公司 Management method, management system for bill receiving commercial customers and management server equipment for commercial customers
CN103020782A (en) * 2012-12-25 2013-04-03 远光软件股份有限公司 Automatic identification-extraction method and system for internal connected transactions
CN106203872A (en) * 2016-07-20 2016-12-07 太仓安顺财务服务有限公司 A kind of business finance exchange management method

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