CN111222941B - Online purchase information classification system based on big data and handheld operation terminal - Google Patents
Online purchase information classification system based on big data and handheld operation terminal Download PDFInfo
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- CN111222941B CN111222941B CN201911334987.XA CN201911334987A CN111222941B CN 111222941 B CN111222941 B CN 111222941B CN 201911334987 A CN201911334987 A CN 201911334987A CN 111222941 B CN111222941 B CN 111222941B
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- G—PHYSICS
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- G06Q—INFORMATION 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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0605—Supply or demand aggregation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION 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
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
Abstract
The embodiment of the invention discloses an online purchasing information classification system based on big data and a handheld operation terminal, which comprises a basic data capturing module connected to a specific network station for capturing information of a supplier, a supplier classification module for performing labeling classification on the captured supplier information and establishing a link rule, a search word adding module for actively adding a label and the name of a to-be-purchased article, a dynamic label module for establishing a trigger event of a material personnel change control module, an analysis fuzzy information chain module for acquiring a data application point of the big data cloud computing service for the specific network station by using the link rule and analyzing the matching degree of the data application point and the to-be-purchased article, a material personnel change control module, an informatization feedback module for placing the generated online purchasing event in a specific body and a visual view module, the classified acquisition of the supply information of online purchase is realized more efficiently, safely and quickly.
Description
Technical Field
The embodiment of the invention relates to the technical field of online purchasing, in particular to an online purchasing information classification system based on big data and a handheld operation terminal.
Background
Online procurement is a transaction for B2B e-commerce. All non-physical forms of the purchasing process are carried out on the internet, such as searching for suppliers and required commodities on the internet, negotiating trade on the internet, ordering goods on the internet and even paying for goods on the internet, but delivering goods and receiving goods under the internet. The purchasing scope is enlarged, purchasing procedures are simplified, purchasing time is reduced, purchasing cost can be saved, working efficiency is improved, and the mode is divided into open bid purchasing and invitation bid purchasing.
1) The open bid inviting purchase refers to a purchase mode that a purchasing unit publishes a bid inviting announcement on the network and invites an undetermined supplier to participate in online bidding;
2) the invitation bidding purchase refers to a purchase mode that a purchasing unit sends a bidding invitation to invite more than five specific suppliers to participate in online bidding.
The defects of the existing online purchasing information classification are as follows:
at the present stage, the variety and the quantity of information transmitted through terminals such as mobile phones and computers are more and more, online purchasing needs a demand party to master information such as product quality, capacity and business credit of a supplier in detail, and due to the fact that the business information has the problems of updating period, data entry errors, software defects and untimely updating, the existing scheme has the defects that professional effective data information cannot be obtained for the supplier during online purchasing, the existing handheld operation terminal is not comprehensive in processing and classifying acquired business data, and for the safety of online transaction, the sealing performance of the operation terminal is strong, so that the single and one-sided acquisition of the business data is caused, and the wrong online purchasing is easily caused.
Disclosure of Invention
Therefore, the embodiment of the invention provides an online purchasing information classification system based on big data and a handheld operation terminal, which solve the problems of update period, data entry error, software defect and untimely update of industrial and commercial information, and the defects of the existing scheme are that professional effective data information cannot be obtained for a supplier during online purchasing, the acquired industrial and commercial data are not comprehensively processed and classified by the existing handheld operation terminal, and the operating terminal has strong sealing property for the safety of online transaction, so that the problems of single and one-sided acquisition of the industrial and commercial data and easy wrong online purchasing are caused.
In order to achieve the above object, an embodiment of the present invention provides the following:
an online purchasing information classification system based on big data and a handheld operation terminal comprise a basic data grabbing module, a supplier classification module, a dynamic label module, a fuzzy information chain module, a material personnel change control module, an informationization feedback module and a visual view module, wherein the basic data grabbing module, the supplier classification module, the dynamic label module, the fuzzy information chain module, the material personnel change control module and the informationization feedback module are arranged in the handheld operation terminal;
basic data capturing module: performing real-time unidirectional capture analysis on all information provided by each supplier by connecting to a specific network station, and automatically linking the name of the supplier as a data index to a supplier classification module;
a supplier classification module: labeling and classifying all captured supplier information, establishing a link rule of each label in the labeling and classifying and the name of a supplier, and transmitting the link rule to a fuzzy information chain module;
a dynamic label module: the system comprises a basic data capturing module, a fuzzy information chain module, a search term adding module, a control module and a control module, wherein the search term adding module is used for actively adding a label and the name of an article to be purchased, synchronously conveying the label item to the basic data capturing module and the fuzzy information chain module, and meanwhile, the system is used for establishing a trigger event of a material personnel change control module;
a fuzzy information chain module: the system is built on a big data cloud computing server, data application points of the big data cloud computing service for specific network sites are obtained through a link rule, then the matching degree of the data application points and the articles to be purchased is analyzed through qualitative evaluation analysis and quantitative evaluation analysis, and the matching degree is downloaded to a visual view module;
an information feedback module: and the system is connected to a big data cloud computing server and used for placing the generated specific content of the online purchasing event, verifying, logging and accessing the specific content of the purchasing event, and simultaneously, carrying out column-by-column display on the supplier information and the online purchasing event which are subjected to matching degree analysis and obtained by the fuzzy information chain module in the visual view module.
A visualization view module: the system is used for displaying the list of the articles to be purchased, the list of suppliers of the articles to be purchased in the future, the names of the suppliers captured by the basic data capturing module and the matching degree analysis result analyzed by the fuzzy information chain module.
As a preferred embodiment of the present invention, the qualitative evaluation analysis and the quantitative evaluation analysis of the fuzzy information chain module specifically include;
quantitative evaluation analysis: taking the supply-demand relationship, the bid opening process and the material contract of a supplier and other on-line purchased demand parties as a training set from a data application point of a specific network site, carrying out Complex Event Processing (CEP) on the training set, taking the result after complex event processing as a supplier feature brief, and finally carrying out classification optimization by using a classification algorithm C5.0;
qualitative evaluation analysis: and forming an event by online purchasing operation, putting the event into a training set for active training and classification, then directly performing qualitative evaluation analysis and quantitative evaluation analysis through a classifier, and matching with the simplified supplier feature after classification and optimization of a classification algorithm C5.0 algorithm to obtain the matching degree of the data application point and the to-be-purchased article.
As a preferred scheme of the present invention, the basic data capture module performs real-time unidirectional capture analysis on all information provided by each provider by connecting to a specific network station, where the all information provided by the provider specifically includes: supplier, product name column, supplier product public docking column, manufacturer name, model name, product description, bar code column, product atlas, product transaction status, proposal price column, product quantity and filing log;
and the supplier classification module carries out tagging classification on all the information, stores the information in a buffer storage area of the big data cloud computing system of the fuzzy information chain module, and determines whether the tagged classified data are stored in a database of the big data cloud computing system according to the analysis result of the matching degree.
As a preferred embodiment of the present invention, the specific steps of performing real-time one-way capture analysis on all information provided by each provider by connecting to a specific network station are as follows:
constructing a relation mapping between each supplier and the online purchased commodities as a configuration event; loading a configuration event by a big data crawler system to capture all information provided by each supplier in a specific network site, and simultaneously acquiring data of the supplier in a big industrial and commercial credit data system;
and screening, cleaning and deleting all the information captured by the big data crawler system, and packaging the data provided by each supplier after screening, cleaning and deleting.
As a preferred aspect of the present invention, the material personnel change control module includes a personnel basic information module, a history recording module, a login access module, and a trigger event module located in the dynamic tag module, and the trigger event module needs to log in a supplier number, an operator number, and an operation password in the login access module on the handheld operation terminal, and performs auxiliary verification by fingerprint identification and face identification.
As a preferred scheme of the invention, when the product is purchased on line and the operator in charge of the supplier changes, the trigger event module needs to log in the supplier number, the operator number and the operation password in the login access module on the handheld operation terminal, and perform auxiliary verification by fingerprint identification and face identification;
and an operator submits an operator change application, the event triggering module generates a change event verification code and a changed operator number, when the changed operator logs in and accesses the login module, an event verification code entry frame appears, and meanwhile, the event triggering module packages all contents in the fuzzy information chain module and the informatization feedback module into event information of the changed operator.
The invention provides an online purchasing information classification handheld operation terminal based on big data, which is characterized by comprising a touch display screen and an operation terminal body, wherein the touch display screen is used for displaying a visual view module, the operation terminal body is used for installing the touch display screen, the touch display screen comprises a login access interface, a basic data grabbing function key, a supplier classification column, a dynamic label function key, a fuzzy information chain column and a material personnel change column, the basic data grabbing function key is used for logging in an online purchasing information classification system, the basic data grabbing function key is arranged behind a search column after the basic data grabbing function key enters the login access interface, the supplier classification column is arranged behind the supplier classification column, the fuzzy information chain column is arranged in parallel with the supplier classification column, and the.
As a preferred embodiment of the present invention, the final interface displayed in pages by the supplier classification column, the fuzzy information chain column, and the material personnel variation column is an information feedback column.
As a preferred embodiment of the present invention, the operation terminal main body is further provided with a function key area, a roller for selecting and fixing interfaces of a supplier classification column, a fuzzy information chain column, a material personnel change column and an information feedback column, a fingerprint identification function area and a face identification camera.
The embodiment of the invention has the following advantages:
the system can be connected through a unidirectional network site, capture analysis of supplier data and knowledge of purchasing information dynamics are carried out through a plurality of online platforms, a large database of a supplier is effectively collected, quantitative and qualitative background analysis is carried out on the supplied large data through a fuzzy information chain module and an informatization feedback module, the data content of the supplier is obtained in a key mode, and then column display of the supplier and a required purchasing party is achieved, information retrieval of a plurality of purchasing item suppliers can be carried out simultaneously, and time cost of purchasing can be well solved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
The structures, ratios, sizes, and the like shown in the present specification are only used for matching with the contents disclosed in the specification, so as to be understood and read by those skilled in the art, and are not used to limit the conditions that the present invention can be implemented, so that the present invention has no technical significance, and any structural modifications, changes in the ratio relationship, or adjustments of the sizes, without affecting the effects and the achievable by the present invention, should still fall within the range that the technical contents disclosed in the present invention can cover.
FIG. 1 is a block diagram of a big data based online procurement information classification system according to an embodiment of the invention;
fig. 2 is a schematic structural diagram of a login access interface of an operation terminal in the embodiment of the present invention;
fig. 3 is a schematic view of an operation terminal display interface structure according to an embodiment of the present invention.
The labels in the figure are:
1-a touch display screen; 2-operating the terminal body; 3-login access interface; 4-search bar; 5-basic data capture function keys; 6-supplier classification column; 7-dynamic tag function key; 8-fuzzy information chain bar; 9-material personnel change column; 10-function key area; 11-a roller; 12-fingerprint identification function area; 13-face recognition camera.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the present invention provides an online purchasing information classification system based on big data, which comprises a basic data capturing module, a supplier classification module, a dynamic label module, a fuzzy information chain module, a material personnel change control module, an informatization feedback module and a visual view module, wherein the basic data capturing module, the supplier classification module, the dynamic label module, the fuzzy information chain module, the material personnel change control module and the informatization feedback module are arranged in a handheld operation terminal;
basic data capturing module: performing real-time unidirectional capture analysis on all information provided by each supplier by connecting to a specific network station, and automatically linking the name of the supplier as a data index to a supplier classification module;
a supplier classification module: labeling and classifying all captured supplier information, establishing a link rule of each label in the labeling and classifying and the name of a supplier, and transmitting the link rule to a fuzzy information chain module;
a dynamic label module: the system comprises a basic data capturing module, a fuzzy information chain module, a search term adding module, a control module and a control module, wherein the search term adding module is used for actively adding a label and the name of an article to be purchased, synchronously conveying the label item to the basic data capturing module and the fuzzy information chain module, and meanwhile, the system is used for establishing a trigger event of a material personnel change control module;
a fuzzy information chain module: the system is built on a big data cloud computing server, data application points of the big data cloud computing service for specific network sites are obtained through a link rule, then the matching degree of the data application points and the articles to be purchased is analyzed through qualitative evaluation analysis and quantitative evaluation analysis, and the matching degree is downloaded to a visual view module;
an information feedback module: and the system is connected to a big data cloud computing server and used for placing the generated specific content of the online purchasing event, verifying, logging and accessing the specific content of the purchasing event, and simultaneously, carrying out column-by-column display on the supplier information and the online purchasing event which are subjected to matching degree analysis and obtained by the fuzzy information chain module in the visual view module.
A visualization view module: the system is used for displaying the list of the articles to be purchased, the list of suppliers of the articles to be purchased in the future, the names of the suppliers captured by the basic data capturing module and the matching degree analysis result analyzed by the fuzzy information chain module.
The qualitative evaluation analysis and the quantitative evaluation analysis of the fuzzy information chain module specifically comprise;
quantitative evaluation analysis: taking the supply-demand relationship, the bid opening process and the material contract of a supplier and other on-line purchased demand parties as a training set from a data application point of a specific network site, carrying out Complex Event Processing (CEP) on the training set, taking the result after complex event processing as a supplier feature brief, and finally carrying out classification optimization by using a classification algorithm C5.0;
qualitative evaluation analysis: and forming an event by online purchasing operation, putting the event into a training set for active training and classification, then directly performing qualitative evaluation analysis and quantitative evaluation analysis through a classifier, and matching with the simplified supplier feature after classification and optimization of a classification algorithm C5.0 algorithm to obtain the matching degree of the data application point and the to-be-purchased article.
The basic data capturing module performs real-time unidirectional capturing analysis on all information provided by each supplier through being connected to a specific network station, wherein the all information provided by the suppliers specifically comprises: supplier, product name column, supplier product public docking column, manufacturer name, model name, product description, bar code column, product atlas, product transaction status, proposal price column, product quantity and filing log;
and the supplier classification module carries out tagging classification on all the information, stores the information in a buffer storage area of the big data cloud computing system of the fuzzy information chain module, and determines whether the tagged classified data are stored in a database of the big data cloud computing system according to the analysis result of the matching degree.
The specific steps of performing real-time one-way capture analysis on all information provided by each supplier by connecting to a specific network station are as follows:
constructing a relation mapping between each supplier and the online purchased commodities as a configuration event; loading a configuration event by a big data crawler system to capture all information provided by each supplier in a specific network site, and simultaneously acquiring data of the supplier in a big industrial and commercial credit data system;
and screening, cleaning and deleting all the information captured by the big data crawler system, and packaging the data provided by each supplier after screening, cleaning and deleting.
The goods and materials personnel change control module comprises a personnel basic information module, a history recording module, a login access module and a trigger event module located in the dynamic label module, wherein the trigger event module is used for logging in a supplier number, an operator number and an operation password in the login access module on the handheld operation terminal and performing auxiliary verification through fingerprint identification and face identification.
When the on-line purchased products and the responsible operators of the suppliers change, the trigger event module needs to log in the supplier number, the operator number and the operation password in the login access module on the handheld operation terminal, and performs auxiliary verification by fingerprint identification and face identification;
and an operator submits an operator change application, the event triggering module generates a change event verification code and a changed operator number, when the changed operator logs in and accesses the login module, an event verification code entry frame appears, and meanwhile, the event triggering module packages all contents in the fuzzy information chain module and the informatization feedback module into event information of the changed operator.
As shown in fig. 2 and fig. 3, the present invention provides a handheld operation terminal for online purchasing information classification based on big data, which is characterized in that the handheld operation terminal comprises a touch display screen 1 for performing visualization view module display, and an operation terminal body 2 for installing the touch display screen 1, wherein the touch display screen 1 comprises a login access interface 3 for logging in an online purchasing information classification system, a basic data capture function key 5 behind a search bar 4 after entering the login access interface 3, a supplier classification bar 6, a dynamic label function key 7 behind the supplier classification bar, a fuzzy information chain bar 8 displayed in parallel with the supplier classification bar 6, and a material personnel change bar 9.
The final interface displayed in pages in the supplier classification column 6, the fuzzy information chain column 8 and the material personnel change column 9 is an information feedback column.
The operation terminal body 2 is also provided with a function key area 10, a roller 11 for selecting and fixing interfaces of a supplier classification column, a fuzzy information chain column, a material personnel change column and an information feedback column, a fingerprint identification function area 12 and a face identification camera 13.
Although the invention has been described in detail above with reference to a general description and specific examples, it will be apparent to one skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (8)
1. An online purchasing information classification system based on big data is characterized by comprising a basic data grabbing module, a supplier classification module, a dynamic label module, a fuzzy information chain module, a material personnel change control module, an informatization feedback module and a visual view module, wherein the basic data grabbing module, the supplier classification module, the dynamic label module, the fuzzy information chain module, the material personnel change control module and the visual view module are arranged in a handheld operation terminal;
basic data capturing module: performing real-time unidirectional capture analysis on all information provided by each supplier by connecting to a specific network station, and automatically linking the name of the supplier as a data index to a supplier classification module;
a supplier classification module: labeling and classifying all captured supplier information, establishing a link rule of each label in the labeling and classifying and the name of a supplier, and transmitting the link rule to a fuzzy information chain module;
a dynamic label module: the system comprises a basic data capturing module, a fuzzy information chain module, a search term adding module, a control module and a control module, wherein the search term adding module is used for actively adding a label and the name of an article to be purchased, synchronously conveying the label item to the basic data capturing module and the fuzzy information chain module, and meanwhile, the system is used for establishing a trigger event of a material personnel change control module;
a fuzzy information chain module: the system is built on a big data cloud computing server, data application points of the big data cloud computing service for specific network sites are obtained through a link rule, then the matching degree of the data application points and the articles to be purchased is analyzed through qualitative evaluation analysis and quantitative evaluation analysis, and the matching degree is downloaded to a visual view module;
an information feedback module: the system is connected to a big data cloud computing server and used for placing the generated specific content of the online purchasing event, verifying, logging and accessing the specific content of the purchasing event and modifying the specific content of the purchasing event, and simultaneously, the system and the method are in column-by-column display with the supplier information of the matching degree analysis obtained by the fuzzy information chain module and the online purchasing event in the visual view module;
a visualization view module: the system is used for displaying a list of articles to be purchased, a list of suppliers of articles to be purchased in the future, the names of the suppliers captured by the basic data capturing module and the matching degree analysis result analyzed by the fuzzy information chain module;
the qualitative evaluation analysis and the quantitative evaluation analysis of the fuzzy information chain module specifically comprise;
quantitative evaluation analysis: taking the supply-demand relationship, the bid opening process and the material contract of a supplier and other on-line purchased demand parties as a training set from a data application point of a specific network site, carrying out Complex Event Processing (CEP) on the training set, taking the result after complex event processing as a supplier feature brief, and finally carrying out classification optimization by using a classification algorithm C5.0;
qualitative evaluation analysis: and forming an event by online purchasing operation, putting the event into a training set for active training and classification, then directly performing qualitative evaluation analysis and quantitative evaluation analysis through a classifier, and matching with the simplified supplier feature after classification and optimization of a classification algorithm C5.0 algorithm to obtain the matching degree of the data application point and the to-be-purchased article.
2. The big-data-based online procurement information classification system according to claim 1, characterized in that the basic data capture module performs real-time one-way capture analysis on all information provided by each supplier by connecting to a specific network site, and all the information provided by the supplier specifically comprises: supplier, product name column, supplier product public docking column, manufacturer name, model name, product description, bar code column, product atlas, product transaction status, proposal price column, product quantity and filing log;
and the supplier classification module carries out tagging classification on all the information, stores the information in a buffer storage area of the big data cloud computing system of the fuzzy information chain module, and determines whether the tagged classified data are stored in a database of the big data cloud computing system according to the analysis result of the matching degree.
3. The big data-based online procurement information classification system according to claim 1, characterized in that, the real-time unidirectional capture analysis of all the information provided by each supplier by connecting to a specific network site comprises the following steps:
constructing a relation mapping between each supplier and the online purchased commodities as a configuration event; loading a configuration event by a big data crawler system to capture all information provided by each supplier in a specific network site, and simultaneously acquiring data of the supplier in a big industrial and commercial credit data system;
and screening, cleaning and deleting all the information captured by the big data crawler system, and packaging the data provided by each supplier after screening, cleaning and deleting.
4. The big data-based online procurement information classification system according to claim 1, characterized in that the material personnel change control module comprises a personnel basic information module, a history module, a login access module and a trigger event module in the dynamic label module, wherein the trigger event module needs to log in a supplier number, an operator number and an operation password in the login access module on the handheld operation terminal and perform auxiliary verification through fingerprint identification and face identification.
5. The big data-based online procurement information classification system according to claim 1, characterized in that when the online procurement product and the responsible operator of the supplier are changed, the trigger event module needs to log in the supplier number, the operator number and the operation password in the login access module on the handheld operation terminal, and perform the auxiliary verification by fingerprint identification and face identification;
and an operator submits an operator change application, the event triggering module generates a change event verification code and a changed operator number, when the changed operator logs in and accesses the login module, an event verification code entry frame appears, and meanwhile, the event triggering module packages all contents in the fuzzy information chain module and the informatization feedback module into event information of the changed operator.
6. The handheld operation terminal of claim 1, comprising a touch display screen for displaying a visual view module, and an operation terminal body for installing the touch display screen, wherein the touch display screen comprises a login access interface for logging in the online procurement information classification system, a basic data capture function key behind a search bar, a supplier classification bar, a dynamic label function key behind the supplier classification bar, a fuzzy information chain bar displayed in parallel with the supplier classification bar, and a material personnel change bar after entering the login access interface.
7. The handheld operation terminal of claim 6, wherein the final interface of the supplier classification column, the fuzzy information chain column and the material personnel change column displayed in pages is an information feedback column.
8. The handheld operation terminal of claim 6, wherein the operation terminal body further comprises a function button area, a roller for selecting and fixing the interface between the supplier classification field, the fuzzy information chain field, the material personnel change field and the information feedback field, a fingerprint recognition function area and a facial recognition camera.
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