CN111882275B - Trade big data management method and system based on industrial identification analysis - Google Patents

Trade big data management method and system based on industrial identification analysis Download PDF

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CN111882275B
CN111882275B CN202010727723.7A CN202010727723A CN111882275B CN 111882275 B CN111882275 B CN 111882275B CN 202010727723 A CN202010727723 A CN 202010727723A CN 111882275 B CN111882275 B CN 111882275B
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identification
commodity
trade
data
analysis
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CN111882275A (en
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洪心清
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Zhejiang Shangqingda E Commerce Co ltd
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Zhejiang Shangqingda E Commerce Co ltd
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    • 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
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • 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
    • G06Q10/00Administration; Management
    • G06Q10/08Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083Shipping
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Abstract

The application discloses a trade big data management method and a trade big data management system based on industrial identification analysis, wherein the trade big data management method comprises the following steps: s1, distributing commodity identifications and presetting commodity routing information corresponding to the commodity identifications; s2, receiving warehouse-in information, checking commodity bar code information with preset commodity routing information, and generating commodity identification data; s3, submitting the commodity identification data to a trade management platform for combination matching to generate a commodity identification analysis code; and S4, matching a unique sku by the trade management platform according to the acquired commodity identification analysis code, and carrying out commodity trade behavior based on the identification analysis code according to the sku. The invention collects data through the carriers such as bar codes, electronic tags and the like, correlates the identification with the information and the address, runs through the data chain, displays the data in the big data management platform in real time, realizes the on-demand sharing of industrial big data through authority management, supports the reasonable circulation of the data, stimulates the data application and promotes the resource interchange of enterprises.

Description

Trade big data management method and system based on industrial identification analysis
Technical Field
The application relates to the technical field of big data management, in particular to a trade big data management method and a trade big data management system based on industrial identification analysis.
Background
The big data industry has become the leading field of global high-tech industry competition, and with the development of the internet and the arrival of big data age, enterprises increasingly depend on the innovation of data resource supporting products and businesses, and the development of the related fields is severely restricted by the deficiency of the enterprise's own data resources.
The inventors found that:
at present, in the global trade process, because a plurality of commodity circulation links exist, the communication service nodes among all links have insufficient information supply and sharing, from raw material supply, production and manufacture, logistics transportation, distribution and sales to end use, commodity information is unfavorable for the trade parties to view and communicate in time, commodity data review delay, trade information such as storage, logistics and the like limit the information circulation efficiency in the global trade environment, and for trade, the trade cost of enterprises can be increased, and the trade experience process is reduced.
In addition, data sharing and collaborative exchange between enterprises can also hinder strategic collaboration and business transactions between the parties.
Disclosure of Invention
The main purpose of the application is to provide a trade big data management method and a trade big data management system based on industrial identification analysis, so as to solve the current problems.
The technical scheme aims at enabling enterprises to open up the data relationship of each other through strategic cooperation of data through a trade big data management method based on industrial identification analysis, performing data cooperation, cross marketing, resource exchange and integration popularization, and driving the main business of each other through data sharing. The adopted commodity analysis identification is unique, and the product is traced. From raw material supply, production and manufacture, logistics transportation, distribution and sales, to final use, the product has a unique identification, and the quality information of the product in each link from after-sales service to early production process is traced back.
The commodity tracing identification analysis code adopted by the technical scheme can synchronize real-time data and visually analyze service. Through unique product identification, various data of production, manufacture, storage and distribution and logistics delivery are associated and bound, so that complete real-time data management of products is provided, and the method can be applied to various aspects of traceability, after-sales service, intelligent manufacture and the like, and helps enterprises to realize large data analysis on product value and cost.
In order to achieve the above object, the present application provides the following techniques:
the first aspect of the invention provides a trade big data management method based on industrial identification analysis, which comprises the following steps:
s1, distributing commodity identifications and presetting commodity routing information corresponding to the commodity identifications;
s2, receiving warehouse-in information, checking commodity bar code information with preset commodity routing information, and generating commodity identification data;
s3, submitting the commodity identification data to a trade management platform for combination matching to generate a commodity identification analysis code;
and S4, matching a unique sku by the trade management platform according to the acquired commodity identification analysis code, and carrying out commodity trade behavior based on the identification analysis code according to the sku.
Further, the trade management platform matches a unique sku for this purpose according to the obtained commodity identification analysis code, specifically:
when an analysis request of the identification analysis code is received, if commodity routing information corresponding to the distribution identification is configured in the identification analysis code, directly replying service node sku information corresponding to the identification code;
if the analysis management platform library does not have the commodity routing information corresponding to the identification, an error reporting prompt is returned.
Further, the commodity trade behavior based on the identification analysis code is performed according to the sku, wherein the commodity trade behavior based on the identification analysis code comprises:
raw material traceability behavior based on identification analysis code: the trade management platform acquires commodity identification coding metadata, a supplier name, a supply time, a supply mode and a raw material batch number of the raw materials according to the commodity identification analysis code;
identification service data analysis behavior based on identification analysis code: and carrying out identification service database management according to the commodity identification analysis code, wherein the identification service database management comprises representation application data, identification analysis logs, identification registration statistical analysis and identification data mining.
Further, the commodity trade behavior based on the identification analysis code is performed according to the sku, wherein the commodity trade behavior based on the identification analysis code further comprises:
warehouse management behavior based on identification analysis codes: the wms warehouse management system receives the identification analysis code data and generates an analysis code list number, and labeling and warehousing, sending out analysis code shipping list, and recording commodity selling information and warehouse-in and warehouse-out time are carried out according to the analysis code list number;
logistics transportation behavior based on identification resolution codes: the tms logistics transportation system receives the analysis code waybill sent out by the wms warehouse management system to generate logistics information, and simultaneously collects commodity logistics details, logistics tracks and tracks commodity arrival conditions.
Further, the commodity trade behavior based on the identification analysis code is performed according to the sku, wherein the commodity trade behavior based on the identification analysis code further comprises:
warehouse logistics data synchronization behavior based on identification analysis codes: the identification analysis codes of the warehouse management behavior and the logistics transportation behavior are corresponding to the trade database of the connection management platform, so that synchronous service of warehouse and logistics real-time data and identification analysis is realized.
A second aspect of the present invention is to provide a trade big data management system based on industrial identification resolution, including:
trade management platform: the trade management platform is used for distributing commodity identifications and presetting commodity routing information corresponding to the commodity identifications; receiving warehouse-in information, checking commodity bar code information with preset commodity routing information, and generating commodity identification data; submitting commodity identification data to a trade management platform for combination matching to generate a commodity identification analysis code;
matching unit: the trade management platform is used for matching a unique sku according to the acquired commodity identification analysis code, and carrying out commodity trade behavior based on the identification analysis code according to the sku.
Further, the method further comprises the following steps:
an analysis unit: and the method is used for constructing analysis logic and carrying out selective logic analysis on the identification analysis code.
Further, the trade management platform includes:
the raw material tracing module: the raw material tracing module is used for acquiring commodity identification coding metadata, a supplier name, a supply time, a supply mode and a raw material batch number of raw materials according to the commodity identification analysis code;
the identification service data analysis module: the identification service data analysis module is used for carrying out identification service database management according to the commodity identification analysis code, wherein the identification service database management comprises representation application data, identification analysis logs, identification registration statistical analysis and identification data mining.
Further, the trade management platform further comprises:
wms warehouse management system: the wms warehouse management system receives the identification analysis code data and generates an analysis code list number, and labeling and warehousing, sending out analysis code shipping list, and recording commodity selling information and warehouse-in and warehouse-out time are carried out according to the analysis code list number;
tms logistics transportation system: the tms logistics transportation system receives the analysis code waybill sent out by the wms warehouse management system to generate logistics information, and simultaneously collects commodity logistics details, logistics tracks and tracks commodity arrival conditions.
Further, the trade management platform further comprises:
the warehouse logistics data synchronization module: the warehouse logistics data synchronization module is used for correspondingly connecting the identification analysis codes of the wms warehouse management system and the tms logistics transportation system to the trade database of the management platform, so as to realize the synchronous service of warehouse and logistics real-time data and identification analysis.
Compared with the prior art, the application can bring the following technical effects:
1. according to the technical scheme, through strategic cooperation of data, the data relationship among the data is opened, data cooperation, cross marketing, resource exchange, integration and popularization are carried out, the main business among the data is driven by data sharing, so that a long-term cooperation alliance of an integral strategic target is achieved, a global trade big data management platform is created based on industrial identification analysis code quotient, and the defect of business management data of enterprises is overcome;
2. the invention collects data through the carriers such as bar codes, electronic tags and the like, associates the identification with information and addresses, runs through a data chain and displays the data in a big data management platform in real time. Through effective authority management, the on-demand sharing of industrial big data is realized, the reasonable circulation of the data is supported, the application of the data is stimulated, and the resource interchange of enterprises is promoted;
3. through the trade big data management method based on industrial identification analysis, enterprises open up the data relationship through strategic cooperation of data, perform data cooperation, cross marketing, resource interchange, integration and popularization, and drive the camping business of each other by data sharing.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, are included to provide a further understanding of the application and to provide a further understanding of the application with regard to the other features, objects and advantages of the application. The drawings of the illustrative embodiments of the present application and their descriptions are for the purpose of illustrating the present application and are not to be construed as unduly limiting the present application. In the drawings:
FIG. 1 is a schematic diagram of an implementation flow of a trade big data management method based on industrial identification resolution of the present invention;
FIG. 2 is a schematic diagram of the composition and structure of the trade big data management system based on industrial identification resolution of the present invention.
Detailed Description
In order to make the present application solution better understood by those skilled in the art, the following description will be made in detail and with reference to the accompanying drawings in the embodiments of the present application, it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, shall fall within the scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate in order to describe the embodiments of the present application described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In the present application, the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal" and the like indicate an azimuth or a positional relationship based on that shown in the drawings. These terms are used primarily to better describe the present application and its embodiments and are not intended to limit the indicated device, element or component to a particular orientation or to be constructed and operated in a particular orientation.
Also, some of the terms described above may be used to indicate other meanings in addition to orientation or positional relationships, for example, the term "upper" may also be used to indicate some sort of attachment or connection in some cases. The specific meaning of these terms in this application will be understood by those of ordinary skill in the art as appropriate.
In addition, the term "plurality" shall mean two as well as more than two.
It should be noted that, in the case of no conflict, the embodiments and features in the embodiments may be combined with each other. The present application will be described in detail below with reference to the accompanying drawings in conjunction with embodiments.
Example 1
The technical scheme aims at enabling enterprises to open up the data relationship of each other through strategic cooperation of data through a trade big data management method based on industrial identification analysis, performing data cooperation, cross marketing, resource exchange and integration popularization, and driving the main business of each other through data sharing. The adopted commodity analysis identification is unique, and the product is traced.
According to the technical scheme, the identification analysis code is established for the commodities to be stored in the warehouse, the commodity identification code is received from the wms warehouse management system, and circulation, transmission and sharing of commodity trade information data are carried out through the identification analysis code after the commodities pass through suppliers, transportation, receiving, checking, warehousing and loading in sequence. From raw material supply, production and manufacture, logistics transportation, distribution and sales, to final use, the product has a unique identification, and the quality information of the product in each link from after-sales service to early production process is traced back.
In order to achieve the above object, the present application provides the following techniques:
as shown in fig. 1, a first aspect of the present invention is to provide a trade big data management method based on industrial identification resolution, which includes the following steps:
s1, distributing commodity identifications and presetting commodity routing information corresponding to the commodity identifications;
the commodity tracing identification analysis code adopted by the technical scheme can synchronize real-time data and visually analyze service.
Before and after the trade process, various data of production, manufacture, warehouse allocation and logistics delivery are required to be associated and bound through unique product identifiers, so that complete real-time data management of the product is provided, and the method can be applied to various aspects of tracing, after-sales service, intelligent manufacture and the like, and helps enterprises to realize large data analysis of product value and cost.
The commodity identification is established in advance, and is established according to a plurality of dimensions such as commodity model, attribute, size, color and the like, and meanwhile, the commodity identification is generated for facilitating the sku matching described below.
The commodity identification is established in advance in the warehouse system based on commodity attributes, route information is established for the commodity according to the commodity attributes, when the scanning code is matched with the corresponding sku code, the corresponding route information can be called, and basic information of the commodity, such as commodity basic attributes, production, delivery and other buying and selling information, is checked.
After the basic commodity identification and the corresponding commodity routing information are established, the warehouse is ready, and the trade circulation link is entered.
S2, receiving warehouse-in information, checking commodity bar code information with preset commodity routing information, and generating commodity identification data;
the article bar codes in the warehouse package are scanned to check whether the articles in the warehouse package match the data in the warehouse. The trade management platform is used for presetting commodity routing information and commodity identification in advance, after the code scanning, the system acquires commodity information to be put in storage, automatically checks the commodity information to be put in storage with the preset commodity routing information, and if the checking is successful, commodity identification data are automatically generated.
S3, submitting the commodity identification data to a trade management platform for combination matching to generate a commodity identification analysis code;
after the code is scanned, commodity identification data is acquired, different trade circulation links are entered according to specific requirements, as shown in fig. 1 and 2, a commodity raw material acquisition system, a warehousing system, a logistics system, an identification business data management library system and the like are set by a trade management platform according to commodity transaction, and the commodity raw material acquisition system, the warehousing system, the logistics system, the identification business data management library system and the like can be separately managed or combined for trade office.
As shown in fig. 2, different trade circulation links are entered according to specific requirements, a trade management platform is required to be set through authority management, so that different managers can use each trade link, only people with corresponding authorities can scan codes and analyze data information, industrial big data sharing according to requirements is realized, reasonable data circulation is supported, data application is stimulated, and enterprise resource interchange is promoted.
If only the warehouse goods are needed, the warehouse personnel scan the codes to obtain the goods identification analysis codes, the management platform analyzes the goods identification analysis codes, and after analysis, warehouse setting, loading and storing the goods are completed. Specifically, when an analysis request of an identification analysis code is received, if commodity routing information corresponding to the allocation identification is configured in the identification analysis code, directly replying information such as service nodes sku corresponding to the identification code; if the analysis management platform library does not have the route information and the like corresponding to the identification, the information is returned to the error reporting reminding.
If combined trade is needed, the method is similar to the method that the goods only need to be stored, the goods identification codes are received from the wms storage management system, and circulation, transmission and sharing of the goods trade information data are carried out through the identification analysis codes after the goods identification codes are sequentially sent to suppliers, transported, received, checked and put in storage and put on shelves. However, when combined trade is carried out, the warehousing system and the logistics system need to synchronize information data, the identification analysis codes of the warehousing package and the logistics package need to be in butt joint with a trade database, real-time data synchronization and analysis service are realized, and the data synchronization mainly reflects the functions of identification registration, detection and backup among commodity nodes. The backup data interface mainly realizes the data synchronization of the identification metadata and the sku information of the commodity.
And S4, matching a unique sku by the trade management platform according to the acquired commodity identification analysis code, and carrying out commodity trade behavior based on the identification analysis code according to the sku.
Submitting the scanned data to a trade management platform, and carrying out combination matching on the data and addresses, manufacturers, companies, addresses and the like by the platform to generate identification analysis codes, and correspondingly generating sku codes of all links; when the storage link is corresponding, after the code is scanned, the storage management system returns to the wms, and unique skus are matched for the storage management system (sku generates a plurality of dimensions according to the model, the size, the color and the like of the commodity), and wms receives the identification analysis code data and prints a single number to be attached to the commodity package.
The analysis logic of the identification analysis code is constructed according to the system architecture and the technical standard of an industrial Internet identification analysis system, the identification analysis codes of the warehouse package and the logistics package are required to be in butt joint with a business engine global trade database, so that real-time data synchronization and analysis service are realized, and the data synchronization mainly reflects the functions of identification registration, detection and backup among commodity nodes. The backup data interface mainly realizes the data synchronization of the identification metadata and the sku information of the commodity.
According to the technical scheme, raw material supply, production and manufacture, logistics transportation, distribution and sales and final use are realized, the product has a unique identifier, and the quality information of the product in each link from after-sales service to early production process is traced back.
According to the technical scheme, the identification analysis code is established for the commodities to be stored, the commodity identification code is received from the wms storage management system, and circulation, transmission and sharing of commodity trade information data are carried out through the identification analysis code after the commodities pass through suppliers, transportation, receiving, checking, warehousing and loading in sequence.
Further, the trade management platform matches a unique sku for this purpose according to the obtained commodity identification analysis code, specifically:
when an analysis request of the identification analysis code is received, if commodity routing information corresponding to the distribution identification is configured in the identification analysis code, directly replying service node sku information corresponding to the identification code;
if the analysis management platform library does not have the commodity routing information corresponding to the identification, an error reporting prompt is returned.
The trade management database of the trade management platform has the function of managing the data such as the identification coding metadata of the commodity, the selling information of the commodity, the logistics details of the commodity, the analysis log of the commodity and the like. In addition, the data management of the identifier also comprises identifier application data which is developed around the identifier service data management, identifier registration statistical analysis, data mining and other management.
Further, the commodity trade behavior based on the identification analysis code is performed according to the sku, wherein the commodity trade behavior based on the identification analysis code comprises:
raw material traceability behavior based on identification analysis code: the trade management platform acquires commodity identification coding metadata, a supplier name, a supply time, a supply mode and a raw material batch number of the raw materials according to the commodity identification analysis code;
identification service data analysis behavior based on identification analysis code: and carrying out identification service database management according to the commodity identification analysis code, wherein the identification service database management comprises representation application data, identification analysis logs, identification registration statistical analysis and identification data mining.
With reference to fig. 2, the identification analysis code can be utilized to trace back raw materials and establish identification business data analysis business, and according to the requirements of the two aspects, the raw material business platform and the trade management database center corresponding to the trade management platform can specifically refer to commodity information of different trade circulation links according to the corresponding generated sku.
In the raw material stage, the trade management platform can acquire commodity identification coding metadata, a supplier name, a supply time, a supply mode and a raw material batch number of raw materials according to the commodity identification analysis code; in the data analysis center, the identification service database management can be performed according to the commodity identification analysis code, wherein the identification service database management comprises the representation application data, the identification analysis log, the identification registration statistical analysis and the identification data mining.
Further, the commodity trade behavior based on the identification analysis code is performed according to the sku, wherein the commodity trade behavior based on the identification analysis code further comprises:
warehouse management behavior based on identification analysis codes: the wms warehouse management system receives the identification analysis code data and generates an analysis code list number, and labeling and warehousing, sending out analysis code shipping list, and recording commodity selling information and warehouse-in and warehouse-out time are carried out according to the analysis code list number;
logistics transportation behavior based on identification resolution codes: the tms logistics transportation system receives the analysis code waybill sent out by the wms warehouse management system to generate logistics information, and simultaneously collects commodity logistics details, logistics tracks and tracks commodity arrival conditions.
Similarly, the warehouse management behavior and the logistics transportation behavior both adopt identification analysis codes to track commodity states, so that commodity information can be known in real time.
Further, the commodity trade behavior based on the identification analysis code is performed according to the sku, wherein the commodity trade behavior based on the identification analysis code further comprises:
warehouse logistics data synchronization behavior based on identification analysis codes: the identification analysis codes of the warehouse management behavior and the logistics transportation behavior are corresponding to the trade database of the connection management platform, so that synchronous service of warehouse and logistics real-time data and identification analysis is realized.
The analysis logic of the identification analysis code is constructed according to the system architecture and the technical standard of an industrial Internet identification analysis system, the identification analysis codes of the warehouse package and the logistics package are required to be in butt joint with a trade database, so that real-time data synchronization and analysis service are realized, and the data synchronization mainly reflects the functions of identification registration, detection and backup among commodity nodes. The backup data interface mainly realizes the data synchronization of the identification metadata and the sku information of the commodity.
A second aspect of the present invention is to provide a trade big data management system based on industrial identification resolution, including:
trade management platform: the trade management platform is used for distributing commodity identifications and presetting commodity routing information corresponding to the commodity identifications; receiving warehouse-in information, checking commodity bar code information with preset commodity routing information, and generating commodity identification data; submitting commodity identification data to a trade management platform for combination matching to generate a commodity identification analysis code;
matching unit: the trade management platform is used for matching a unique sku according to the acquired commodity identification analysis code, and carrying out commodity trade behavior based on the identification analysis code according to the sku.
Further, the method further comprises the following steps:
an analysis unit: and the method is used for constructing analysis logic and carrying out selective logic analysis on the identification analysis code.
Further, the trade management platform includes:
the raw material tracing module: the raw material tracing module is used for acquiring commodity identification coding metadata, a supplier name, a supply time, a supply mode and a raw material batch number of raw materials according to the commodity identification analysis code;
the identification service data analysis module: the identification service data analysis module is used for carrying out identification service database management according to the commodity identification analysis code, wherein the identification service database management comprises representation application data, identification analysis logs, identification registration statistical analysis and identification data mining.
Further, the trade management platform further comprises:
wms warehouse management system: the wms warehouse management system receives the identification analysis code data and generates an analysis code list number, and labeling and warehousing, sending out analysis code shipping list, and recording commodity selling information and warehouse-in and warehouse-out time are carried out according to the analysis code list number;
tms logistics transportation system: the tms logistics transportation system receives the analysis code waybill sent out by the wms warehouse management system to generate logistics information, and simultaneously collects commodity logistics details, logistics tracks and tracks commodity arrival conditions.
Further, the trade management platform further comprises:
the warehouse logistics data synchronization module: the warehouse logistics data synchronization module is used for correspondingly connecting the identification analysis codes of the wms warehouse management system and the tms logistics transportation system to the trade database of the management platform, so as to realize the synchronous service of warehouse and logistics real-time data and identification analysis.
The foregoing description is only of the preferred embodiments of the present application and is not intended to limit the same, but rather, various modifications and variations may be made by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

Claims (10)

1. The trade big data management method based on industrial identification analysis is characterized by comprising the following steps:
s1, distributing commodity identifications and presetting commodity routing information corresponding to the commodity identifications;
s2, receiving warehouse-in information, checking commodity bar code information with preset commodity routing information, and generating commodity identification data;
s3, submitting the commodity identification data to a trade management platform for combination matching to generate a commodity identification analysis code;
and S4, matching a unique sku by the trade management platform according to the acquired commodity identification analysis code, and carrying out commodity trade behavior based on the identification analysis code according to the sku.
2. The method for managing big trade data based on industrial identification resolution according to claim 1, wherein the trade management platform matches a unique sku according to the obtained commodity identification resolution code, specifically:
when an analysis request of the identification analysis code is received, if commodity routing information corresponding to the distribution identification is configured in the identification analysis code, directly replying service node sku information corresponding to the identification analysis code;
if the analysis management platform library does not have the commodity routing information corresponding to the identification, an error reporting prompt is returned.
3. The method for managing big trade data based on industrial identification resolution according to claim 1 or 2, wherein said commodity trade behavior based on identification resolution code according to sku, wherein said commodity trade behavior based on identification resolution code comprises:
raw material traceability behavior based on identification analysis code: the trade management platform acquires commodity identification coding metadata, a supplier name, a supply time, a supply mode and a raw material batch number of the raw materials according to the commodity identification analysis code;
identification service data analysis behavior based on identification analysis code: and carrying out identification service database management according to the commodity identification analysis code, wherein the identification service database management comprises representation application data, identification analysis logs, identification registration statistical analysis and identification data mining.
4. The method for managing big trade data based on industrial identification resolution according to claim 3, wherein said commodity trade behavior based on identification resolution code is performed according to sku, wherein said commodity trade behavior based on identification resolution code further comprises:
warehouse management behavior based on identification analysis codes: the wms warehouse management system receives the identification analysis code data and generates an analysis code list number, and labeling and warehousing, sending out analysis code shipping list, and recording commodity selling information and warehouse-in and warehouse-out time are carried out according to the analysis code list number;
logistics transportation behavior based on identification resolution codes: the tms logistics transportation system receives the analysis code waybill sent out by the wms warehouse management system to generate logistics information, and simultaneously collects commodity logistics details, logistics tracks and tracks commodity arrival conditions.
5. The method for managing big trade data based on industrial identification resolution according to claim 4, wherein said commodity trade behavior based on identification resolution code is performed according to sku, wherein said commodity trade behavior based on identification resolution code further comprises:
warehouse logistics data synchronization behavior based on identification analysis codes: the identification analysis codes of the warehouse management behavior and the logistics transportation behavior are corresponding to the trade database of the connection management platform, so that synchronous service of warehouse and logistics real-time data and identification analysis is realized.
6. A trade big data management system based on industry identification resolution, comprising:
trade management platform: the trade management platform is used for distributing commodity identifications and presetting commodity routing information corresponding to the commodity identifications; receiving warehouse-in information, checking commodity bar code information with preset commodity routing information, and generating commodity identification data; submitting commodity identification data to a trade management platform for combination matching to generate a commodity identification analysis code;
matching unit: the trade management platform is used for matching a unique sku according to the acquired commodity identification analysis code, and carrying out commodity trade behavior based on the identification analysis code according to the sku.
7. The industrial identification resolution-based trade big data management system of claim 6, further comprising:
an analysis unit: and the method is used for constructing analysis logic and carrying out selective logic analysis on the identification analysis code.
8. A trade big data management system according to claim 6 or 7, wherein the trade management platform comprises:
the raw material tracing module: the raw material tracing module is used for acquiring commodity identification coding metadata, a supplier name, a supply time, a supply mode and a raw material batch number of raw materials according to the commodity identification analysis code;
the identification service data analysis module: the identification service data analysis module is used for carrying out identification service database management according to the commodity identification analysis code, wherein the identification service database management comprises representation application data, identification analysis logs, identification registration statistical analysis and identification data mining.
9. The trade big data management system based on industrial identification resolution of claim 8, wherein the trade management platform further comprises:
wms warehouse management system: the wms warehouse management system receives the identification analysis code data and generates an analysis code list number, and labeling and warehousing, sending out analysis code shipping list, and recording commodity selling information and warehouse-in and warehouse-out time are carried out according to the analysis code list number;
tms logistics transportation system: the tms logistics transportation system receives the analysis code waybill sent out by the wms warehouse management system to generate logistics information, and simultaneously collects commodity logistics details, logistics tracks and tracks commodity arrival conditions.
10. The trade big data management system based on industry identification resolution of claim 9, wherein the trade management platform further comprises:
the warehouse logistics data synchronization module: the warehouse logistics data synchronization module is used for correspondingly connecting the identification analysis codes of the wms warehouse management system and the tms logistics transportation system to the trade database of the management platform, so as to realize the synchronous service of warehouse and logistics real-time data and identification analysis.
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