CN115271889A - Intelligent label automatic linkage generation method, device, equipment and storage medium - Google Patents
Intelligent label automatic linkage generation method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention relates to the field of artificial intelligence, and discloses an intelligent label automatic linkage generation method, device, equipment and storage medium, which are used for improving the accuracy of order label generation. The method comprises the following steps: performing data source attribute configuration on the order data table to obtain a data source configuration result; performing order product identification on the order data table according to the data source configuration result to obtain a plurality of order products, and respectively extracting data table information of the plurality of order products to obtain a plurality of order product information; the method comprises the steps of obtaining order modes of a plurality of order products, generating an order number of each order product according to the order modes, and generating order label data corresponding to each order product according to the order numbers and information of the plurality of order products; and generating target order labels of a plurality of order products in batch according to the order label data corresponding to each order product to obtain a plurality of target order labels, and performing label typesetting on the plurality of target order labels to generate a target label file.
Description
Technical Field
The invention relates to the field of artificial intelligence, in particular to an intelligent label automatic linkage generation method, device, equipment and storage medium.
Background
In daily life, a merchant receives an order and prints out an order label, so that goods distribution is facilitated, a factory also prints out the order label after receiving the order, and a worker performs goods distribution and delivery according to the content of the order label.
At present, when order labels are printed, the order labels are usually printed manually according to work order information, errors easily occur, repeated printing and wrong codes easily occur to the order labels, and the accuracy of the existing scheme is low.
Disclosure of Invention
The invention provides an intelligent automatic label linkage generation method, device, equipment and storage medium, which are used for improving the accuracy of order label generation.
The first aspect of the invention provides an intelligent label automatic linkage generation method, which comprises the following steps: receiving an order processing request issued by a preset first order processing system, performing request analysis on the order processing request to obtain an order data table, and acquiring a data type corresponding to the order data table; transmitting the order data table to a preset second order processing system according to the data type, and performing data source attribute configuration on the order data table through the second order processing system to obtain a data source configuration result; performing order product identification on the order data table according to the data source configuration result to obtain a plurality of order products, and extracting data table information of the plurality of order products respectively to obtain a plurality of order product information, wherein the plurality of order product information comprises: the product name, the product quantity, the order date and the remark information of each order product; acquiring order modes of the plurality of order products, generating an order number of each order product according to the order modes, and generating order label data corresponding to each order product according to the order numbers and the plurality of order product information; and generating target order labels of the plurality of order products in batch according to the order label data corresponding to each order product to obtain a plurality of target order labels, and performing label typesetting on the plurality of target order labels to generate a target label file.
Optionally, in a first implementation manner of the first aspect of the present invention, the receiving and presetting an order processing request issued by a first order processing system, performing request analysis on the order processing request to obtain an order data table, and acquiring a data type corresponding to the order data table includes: receiving an order processing request issued by a preset first order processing system, and acquiring a data request identifier corresponding to the order processing request; performing request analysis on the order processing request to obtain a database address; inquiring an order data table corresponding to the data request identification according to the database address; and querying the data type corresponding to the order data table.
Optionally, in a second implementation manner of the first aspect of the present invention, the transmitting the order data table to a preset second order processing system according to the data type, and performing data source attribute configuration on the order data table through the second order processing system to obtain a data source configuration result includes: transmitting the order data table to a preset second order processing system, and performing database type setting on the second order processing system according to the data type to obtain a set second order processing system; matching the target data source attribute corresponding to the order data table through the set second order processing system; and performing data source attribute configuration on the order data table according to the target data source attribute to obtain a data source configuration result.
Optionally, in a third implementation manner of the first aspect of the present invention, the order product identification is performed on the order data table according to the data source configuration result to obtain a plurality of order products, and data table information of the plurality of order products is respectively extracted to obtain a plurality of order product information, where the plurality of order product information includes: the product name, product quantity, order date and remark information of each order product comprises: performing product identification recognition on the order data table according to the data source configuration result to obtain a plurality of product identifications; obtaining a plurality of order products in the order data table according to the plurality of product identifiers; acquiring a mapping relation between the plurality of order products and product information, and extracting data table information from the order data table according to the mapping relation to obtain a plurality of order product information, wherein the plurality of order product information comprises: product name, product quantity, order date, and remark information for each ordered product.
Optionally, in a fourth implementation manner of the first aspect of the present invention, the obtaining the order mode of the multiple order products, generating the order number of each order product according to the order mode, and generating the order label data corresponding to each order product according to the order number and the multiple pieces of order product information includes: obtaining an order mode of the plurality of order products, wherein the order mode comprises: general orders and expedited orders; respectively carrying out order numbering on the plurality of order products according to the order mode to generate an order number of each order product; and integrating the label data of the order number and the information of the plurality of order products to generate order label data corresponding to each order product.
Optionally, in a fifth implementation manner of the first aspect of the present invention, the generating target order labels of the multiple order products in batch according to the order label data corresponding to each order product to obtain multiple target order labels, and performing label typesetting on the multiple target order labels to generate a target label file includes: acquiring a template component corresponding to a preset order label template; performing data batch filling on the template component according to order label data corresponding to each order product to generate a plurality of target order labels; and performing label typesetting and file conversion on the plurality of target order labels to generate a target label file.
Optionally, in a sixth implementation manner of the first aspect of the present invention, the method for generating an intelligent tag by automatic linkage further includes: visually displaying the target label file through a visual interface of the second order processing system, and calling a preset label checking template to perform identification checking on the target label file to obtain an identification checking result; and performing label file management and query configuration on the target label file according to the identification and verification result.
The second aspect of the present invention provides an intelligent automatic tag linkage generation apparatus, including: the receiving module is used for receiving and presetting an order processing request issued by a first order processing system, performing request analysis on the order processing request to obtain an order data table and acquiring a data type corresponding to the order data table; the configuration module is used for transmitting the order data table to a preset second order processing system according to the data type and carrying out data source attribute configuration on the order data table through the second order processing system to obtain a data source configuration result; an identification module, configured to perform order product identification on the order data table according to the data source configuration result to obtain a plurality of order products, and extract data table information of the plurality of order products respectively to obtain a plurality of order product information, where the plurality of order product information includes: the product name, product quantity, order date and remark information of each order product; the generating module is used for acquiring the order mode of the plurality of order products, generating the order number of each order product according to the order mode, and generating order label data corresponding to each order product according to the order number and the information of the plurality of order products; and the output module is used for generating target order labels of the plurality of order products in batches according to the order label data corresponding to each order product to obtain a plurality of target order labels, and performing label typesetting on the plurality of target order labels to generate a target label file.
Optionally, in a first implementation manner of the second aspect of the present invention, the receiving module is specifically configured to: receiving an order processing request issued by a preset first order processing system, and acquiring a data request identifier corresponding to the order processing request; performing request analysis on the order processing request to obtain a database address; inquiring an order data table corresponding to the data request identification according to the database address; and querying the data type corresponding to the order data table.
Optionally, in a second implementation manner of the second aspect of the present invention, the configuration module is specifically configured to: transmitting the order data table to a preset second order processing system, and performing database type setting on the second order processing system according to the data type to obtain a set second order processing system; matching the target data source attribute corresponding to the order data table through the set second order processing system; and performing data source attribute configuration on the order data table according to the target data source attribute to obtain a data source configuration result.
Optionally, in a third implementation manner of the second aspect of the present invention, the identification module is specifically configured to: performing product identification recognition on the order data table according to the data source configuration result to obtain a plurality of product identifications; obtaining a plurality of order products in the order data table according to the plurality of product identifiers; acquiring a mapping relation between the plurality of order products and product information, and extracting data table information from the order data table according to the mapping relation to obtain a plurality of order product information, wherein the plurality of order product information comprises: product name, product quantity, order date, and remark information for each ordered product.
Optionally, in a fourth implementation manner of the second aspect of the present invention, the generating module is specifically configured to: obtaining an order mode of the plurality of order products, wherein the order mode comprises: general orders and urgent orders; respectively carrying out order numbering on the plurality of order products according to the order mode to generate an order number of each order product; and integrating label data of the order number and the information of the plurality of order products to generate order label data corresponding to each order product.
Optionally, in a fifth implementation manner of the second aspect of the present invention, the output module is specifically configured to: acquiring a template component corresponding to a preset order label template; performing data batch filling on the template component according to the order label data corresponding to each order product to generate a plurality of target order labels; and performing label typesetting and file conversion on the plurality of target order labels to generate a target label file.
Optionally, in a sixth implementation manner of the second aspect of the present invention, the intelligent tag automatic linkage generating apparatus further includes: the verification module is used for visually displaying the target label file through a visual interface of the second order processing system and calling a preset label verification template to perform identification verification on the target label file to obtain an identification verification result; and performing label file management and query configuration on the target label file according to the identification and verification result.
A third aspect of the present invention provides an intelligent tag automatic linkage generation apparatus, including: a memory and at least one processor, the memory having instructions stored therein; the at least one processor calls the instructions in the memory to enable the intelligent label automatic linkage generation device to execute the intelligent label automatic linkage generation method.
A fourth aspect of the present invention provides a computer-readable storage medium, which stores instructions that, when executed on a computer, cause the computer to execute the above-mentioned intelligent tag automatic linkage generation method.
According to the technical scheme, an order processing request issued by a first order processing system is received and preset and is requested to be analyzed to obtain an order data table, then data source attribute configuration of the order data table is carried out through a second order processing system, data table information identification is carried out on the order data table, identification accuracy of the order data table is improved, order label data corresponding to each order product are generated according to order modes of a plurality of order products, target order labels of a plurality of order products are generated in batches according to the order label data corresponding to each order product, a plurality of target order labels are obtained, label typesetting is carried out on the plurality of target order labels to generate a target label file, the generation efficiency of the order labels can be greatly improved by generating the target order labels of the plurality of order products in batches, and the generation accuracy of the order labels is improved by carrying out order numbering on the order label data and constructing an intelligent order label linkage generation mechanism.
Drawings
FIG. 1 is a schematic diagram of an embodiment of an intelligent tag automatic linkage generation method in the embodiment of the present invention;
FIG. 2 is a schematic diagram of another embodiment of an intelligent tag automatic linkage generation method in the embodiment of the present invention;
FIG. 3 is a schematic diagram of an embodiment of an intelligent tag automatic linkage generation device according to an embodiment of the invention;
FIG. 4 is a schematic diagram of another embodiment of an intelligent automatic tag linkage generating device according to an embodiment of the invention;
fig. 5 is a schematic diagram of an embodiment of an intelligent tag automatic linkage generation device in the embodiment of the present invention.
Detailed Description
The embodiment of the invention provides an intelligent automatic label linkage generation method, device, equipment and storage medium, which are used for improving the accuracy of order label generation. The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Moreover, the terms "comprises," "comprising," or "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.
For convenience of understanding, a specific flow of the embodiment of the present invention is described below, and referring to fig. 1, an embodiment of an intelligent tag automatic linkage generation method in the embodiment of the present invention includes:
101. receiving an order processing request issued by a preset first order processing system, performing request analysis on the order processing request to obtain an order data table, and acquiring a data type corresponding to the order data table;
it is understood that the executing subject of the present invention may be an intelligent tag automatic linkage generating device, and may also be a terminal or a server, which is not limited herein. The embodiment of the present invention is described by taking a server as an execution subject.
Specifically, after the server receives an order processing request issued by a preset first order processing system, the server determines whether the number of the current order processing request exceeds a preset value, if the number exceeds the preset value, it is indicated that the order processing request has reached an upper limit, the order processing request is not processed temporarily, if the number of the request does not exceed the preset value, the order processing request is responded, request analysis is performed on the order processing request, a corresponding order data table is determined, and a data type corresponding to the order data table is obtained, where it is indicated that the data type specifically refers to a service type, and the corresponding data type can be determined according to the service type.
102. Transmitting the order data sheet to a preset second order processing system according to the data type, and performing data source attribute configuration on the order data sheet through the second order processing system to obtain a data source configuration result;
specifically, the data source is a preferred mechanism for creating JDBC connection in a Java Platform, enterprise Edition (Java EE) environment, and the data source may provide connection, pooling connection, and distributed connection, and does not need to hard code a connection attribute into Java code, where all Microsoft JDBC Driver for SQL Server data sources may use corresponding setters and getters methods to set or obtain a value of any attribute, and in this embodiment, the Server transmits the order data table to the second order processing system according to the data type, and performs data source attribute configuration on the order data table by using the data source attribute configuration method to obtain a corresponding data source configuration result.
103. Performing order product identification on the order data sheet according to the data source configuration result to obtain a plurality of order products, and respectively extracting data sheet information of the plurality of order products to obtain a plurality of order product information, wherein the plurality of order product information comprises: the product name, product quantity, order date and remark information of each order product;
specifically, when order product identification is performed, the server acquires a plurality of historical order data, acquires historical order features according to the plurality of historical order data, associates the plurality of historical order data with graph structures, further performs feature processing and screening on the historical order features to remove irrelevant features, adds the screened order features into corresponding graph nodes to obtain a product identification model, inputs the historical order data into the product identification model to train to obtain the order identification model, further predicts the probability of order abnormity by using the model, further performs order product identification through the data source configuration result and the order identification model to obtain a plurality of order products, and extracts data table information of the plurality of order products respectively to obtain a plurality of order product information.
104. The method comprises the steps of obtaining order modes of a plurality of order products, generating an order number of each order product according to the order modes, and generating order label data corresponding to each order product according to the order numbers and information of the plurality of order products;
specifically, the order mode of a plurality of order products is obtained, order serial numbers are generated, an identification code corresponding to the order identification is obtained, the identification code is processed, the order serial numbers are combined to generate order numbers, a serial number data table corresponding to the order numbers is determined according to the order numbers, the number of preset databases and the number of preset data tables of each database, order information is stored in the serial number data table, and the order information comprises the identification code and the order numbers. The implementation method simultaneously establishes the corresponding relation between the identification code of the user and the order number and each database and each data table, and the server finally generates the order label data corresponding to each order product according to the order number and the information of a plurality of order products, so that the storage of the sub database and the sub data table of the order data based on the identification code and the order number of the user is realized, and the maintenance of the order data is facilitated.
105. And generating target order labels of a plurality of order products in batch according to the order label data corresponding to each order product to obtain a plurality of target order labels, and performing label typesetting on the plurality of target order labels to generate a target label file.
Specifically, the server generates target order labels of a plurality of order products in batch according to order label data corresponding to each order product to obtain a plurality of target order labels, performs label typesetting on the plurality of target order labels, analyzes the target order label typesetting at the moment, determines that the typesetted label typesetting is correct if the characterization contents of the comparison result are consistent, determines that the typesetted label typesetting is wrong if the characterization contents of the comparison result are inconsistent, and generates a target label file when the label typesetting is correct.
In the embodiment of the invention, an order processing request issued by a first order processing system is received and analyzed to obtain an order data table, then a second order processing system is used for carrying out data source attribute configuration on the order data table, data table information identification is carried out on the order data table to improve the identification accuracy of the order data table, order label data corresponding to each order product is generated according to order modes of a plurality of order products, target order labels of a plurality of order products are generated in batches according to the order label data corresponding to each order product to obtain a plurality of target order labels, label typesetting is carried out on the plurality of target order labels to generate a target label file, the generation efficiency of the order labels can be greatly improved by adopting the target order labels for generating the plurality of order products in batches, and the order numbering is carried out on the order label data, and the accuracy of order label generation is improved by constructing an intelligent order label linkage generation mechanism.
Referring to fig. 2, another embodiment of the method for generating an intelligent tag automatic linkage according to the embodiment of the present invention includes:
201. receiving an order processing request issued by a preset first order processing system, performing request analysis on the order processing request to obtain an order data table, and acquiring a data type corresponding to the order data table;
specifically, an order processing request issued by a first order processing system is received and preset, and a data request identifier corresponding to the order processing request is obtained; performing request analysis on the order processing request to obtain a database address; inquiring an order data table corresponding to the data request identification according to the database address; and querying the data type corresponding to the order data table.
In actual operation, when an order processing request of order data comes, each processing request in the order processing request respectively acquires order data to be processed in a classified manner, corresponding identification information is set for each processing request in the order processing request respectively, the identification information is used for uniquely identifying each different processing request, that is, n processing requests correspond to n different identification information, the uniquely corresponding processing request can be determined according to the identification information, wherein the identification information can be a change parameter specifically, the server performs request analysis through the order processing request to obtain a database address, a corresponding data interface is determined according to the database address, an order data table corresponding to the data request identification is inquired according to the data interface, and a data type corresponding to the order data table is inquired.
202. Transmitting the order data sheet to a preset second order processing system according to the data type, and performing data source attribute configuration on the order data sheet through the second order processing system to obtain a data source configuration result;
specifically, the order data table is transmitted to a preset second order processing system, and the database type setting is performed on the second order processing system according to the data type, so that the set second order processing system is obtained; matching target data source attributes corresponding to the order data table through the set second order processing system; and performing data source attribute configuration on the order data table according to the target data source attribute to obtain a data source configuration result.
The server transmits the order data table to a preset second order processing system and performs database type setting on the second order processing system according to the data type, wherein when the database type setting is performed, the server acquires a database to be configured through a preset testing system, the testing system inputs a plurality of simulation transactions corresponding to the test to the database to be configured, when the database type of the database to be configured is detected to be a database type to be compatible, the testing system acquires a compatible rule corresponding to the database type of the database to be configured, the testing system acquires response results corresponding to the simulation transactions of the database to be configured according to the compatible rule, the testing system forms configuration testing results of the database to be configured according to the response results, configuration of the second order processing system is completed, and meanwhile, the server matches target data source attributes corresponding to the order data table through the second order processing system; and performing data source attribute configuration on the order data table according to the target data source attribute to obtain a data source configuration result.
203. Performing order product identification on the order data table according to the data source configuration result to obtain a plurality of order products, and respectively extracting data table information of the plurality of order products to obtain a plurality of order product information, wherein the plurality of order product information comprises: the product name, product quantity, order date and remark information of each order product;
specifically, product identification recognition is carried out on the order data table according to a data source configuration result to obtain a plurality of product identifications; acquiring a plurality of order products in an order data table according to the plurality of product identifiers; acquiring a mapping relation between a plurality of order products and product information, and extracting data table information from an order data table according to the mapping relation to obtain a plurality of order product information, wherein the plurality of order product information comprises: product name, product quantity, order date, and remark information for each ordered product.
Optionally, when order product identification is performed, a template order may be further established in advance, where the template order includes an order number, an order process number, and a service product combination, a mapping relationship is established between the order number and the unique order process number, a mapping relationship is established between the order process number and the unique service product combination, whether the order is modified is determined, if yes, the order is updated, the updated order includes an original order number, a newly generated order process number, and a newly generated service product combination, a new mapping relationship is established between the original order number and the unique newly generated order process number, and a new mapping relationship is established between the newly generated order process number and the newly generated service product combination, and then the server may perform data table information extraction on an order data table according to the mapping relationship at this time to obtain information of a plurality of order products, where the information of a plurality of order products includes: product name, product quantity, order date, and remark information for each ordered product.
204. Acquiring an order mode of a plurality of order products, wherein the order mode comprises the following steps: general orders and expedited orders;
205. respectively numbering a plurality of order products according to the order mode to generate an order number of each order product;
206. performing label data integration on the order number and the information of the plurality of order products to generate order label data corresponding to each order product;
optionally, when performing label integration, the server determines a label generation rule according to a service scenario, determines a data requirement through the label generation rule, processes data based on the data requirement to obtain data to be processed, generates a corresponding data label library according to the data to be processed and the label generation rule, performs label semantic conflict detection on the data label library, determines label levels corresponding to the data labels, performs label data integration according to the label levels corresponding to the data labels, and generates order label data corresponding to each order product.
207. And generating target order labels of a plurality of order products in batch according to the order label data corresponding to each order product to obtain a plurality of target order labels, and performing label typesetting on the plurality of target order labels to generate a target label file.
Specifically, a template component corresponding to a preset order label template is obtained; performing data batch filling on the template assembly according to the order label data corresponding to each order product to generate a plurality of target order labels; and performing label typesetting and file conversion on the plurality of target order labels to generate a target label file.
The method includes the steps that a server obtains template components corresponding to preset order label templates, analyzes the template components, renders order information based on the template components, obtains marked information, analyzes the marked information, obtains label content, typesets the label content, generates one or more pictures, generates labels, and after the labels are generated, the server performs label typesetting and file conversion on a plurality of target order labels to generate target label files.
Optionally, the target label file is visually displayed through a visual interface of the second order processing system, and a preset label verification template is called to perform identification verification on the target label file to obtain an identification verification result; and performing label file management and query configuration on the target label file according to the identification and verification result.
The server inquires SQL configuration of a database through tag attributes to realize dynamic chart data inquiry, formats the data through the tag attributes and sets a chart display style concisely, the display style attribute setting and data acquisition are encapsulated in a self-defined tag, the display style is rendered through a rendering component to complete visual display, a preset tag verification template is called to perform identification verification on a target tag file to obtain an identification verification result, the server performs verification through image and keyword identification to obtain a verification result when performing the identification verification, and tag file management and inquiry configuration are performed on the target tag file according to the identification verification result.
In the embodiment of the invention, an order processing request issued by a first order processing system is received and preset and is subjected to request analysis to obtain an order data table, then a second order processing system is used for carrying out data source attribute configuration on the order data table, then data table information identification is carried out on the order data table, the identification accuracy of the order data table is improved, order label data corresponding to each order product is generated according to order modes of a plurality of order products, target order labels of a plurality of order products are generated in batches according to the order label data corresponding to each order product to obtain a plurality of target order labels, label typesetting is carried out on the plurality of target order labels to generate a target label file, the generation efficiency of the order labels can be greatly improved by adopting the target order labels for generating the plurality of order products in batches, and the order label data are subjected to order numbering, and the generation accuracy of the order labels is improved by constructing an intelligent order label linkage generation mechanism.
In the above, the method for generating the intelligent automatic linkage of the tag according to the embodiment of the present invention is described, and in the following, referring to fig. 3, the apparatus for generating the intelligent automatic linkage of the tag according to the embodiment of the present invention is described, and an embodiment of the apparatus for generating the intelligent automatic linkage of the tag according to the embodiment of the present invention includes:
the receiving module 301 is configured to receive an order processing request issued by a preset first order processing system, perform request analysis on the order processing request, obtain an order data table, and obtain a data type corresponding to the order data table;
a configuration module 302, configured to transmit the order data table to a preset second order processing system according to the data type, and perform data source attribute configuration on the order data table through the second order processing system to obtain a data source configuration result;
an identifying module 303, configured to perform order product identification on the order data table according to the data source configuration result to obtain a plurality of order products, and extract data table information of the plurality of order products respectively to obtain a plurality of pieces of order product information, where the plurality of pieces of order product information include: the product name, the product quantity, the order date and the remark information of each order product;
a generating module 304, configured to obtain an order mode of the multiple order products, generate an order number of each order product according to the order mode, and generate order label data corresponding to each order product according to the order number and the multiple order product information;
the output module 305 is configured to generate target order labels of the multiple order products in batch according to the order label data corresponding to each order product, obtain multiple target order labels, perform label typesetting on the multiple target order labels, and generate a target label file.
In the embodiment of the invention, an order processing request issued by a first order processing system is received and preset and is subjected to request analysis to obtain an order data table, then a second order processing system is used for carrying out data source attribute configuration on the order data table, then data table information identification is carried out on the order data table, the identification accuracy of the order data table is improved, order label data corresponding to each order product is generated according to order modes of a plurality of order products, target order labels of a plurality of order products are generated in batches according to the order label data corresponding to each order product to obtain a plurality of target order labels, label typesetting is carried out on the plurality of target order labels to generate a target label file, the generation efficiency of the order labels can be greatly improved by adopting the target order labels for generating the plurality of order products in batches, and the order label data are subjected to order numbering, and the generation accuracy of the order labels is improved by constructing an intelligent order label linkage generation mechanism.
Referring to fig. 4, another embodiment of the intelligent tag automatic linkage generation apparatus according to the embodiment of the present invention includes:
the receiving module 301 is configured to receive an order processing request issued by a preset first order processing system, perform request analysis on the order processing request, obtain an order data table, and obtain a data type corresponding to the order data table;
a configuration module 302, configured to transmit the order data table to a preset second order processing system according to the data type, and perform data source attribute configuration on the order data table through the second order processing system to obtain a data source configuration result;
an identifying module 303, configured to perform order product identification on the order data table according to the data source configuration result to obtain a plurality of order products, and extract data table information of the plurality of order products respectively to obtain a plurality of order product information, where the plurality of order product information includes: the product name, product quantity, order date and remark information of each order product;
a generating module 304, configured to obtain an order mode of the multiple order products, generate an order number of each order product according to the order mode, and generate order label data corresponding to each order product according to the order number and the multiple order product information;
the output module 305 is configured to generate target order labels of the multiple order products in batch according to the order label data corresponding to each order product, obtain multiple target order labels, perform label typesetting on the multiple target order labels, and generate a target label file.
Optionally, the receiving module 301 is specifically configured to: receiving an order processing request issued by a preset first order processing system, and acquiring a data request identifier corresponding to the order processing request; performing request analysis on the order processing request to obtain a database address; inquiring an order data table corresponding to the data request identification according to the database address; and querying the data type corresponding to the order data table.
Optionally, the configuration module 302 is specifically configured to: transmitting the order data table to a preset second order processing system, and performing database type setting on the second order processing system according to the data type to obtain a set second order processing system; matching the order data source attribute corresponding to the order data table through the set second order processing system; and performing data source attribute configuration on the order data table according to the order data source attribute to obtain a data source configuration result.
Optionally, the identifying module 303 is specifically configured to: performing product identification recognition on the order data table according to the data source configuration result to obtain a plurality of product identifications; obtaining a plurality of order products in the order data table according to the plurality of product identifiers; acquiring a mapping relation between the plurality of order products and product information, and extracting data table information from the order data table according to the mapping relation to obtain a plurality of order product information, wherein the plurality of order product information comprises: product name, product quantity, order date, and remark information for each ordered product.
Optionally, the generating module 304 is specifically configured to: obtaining an order mode of the plurality of order products, wherein the order mode comprises: general orders and urgent orders; respectively carrying out order numbering on the plurality of order products according to the order mode to generate an order number of each order product; and integrating the label data of the order number and the information of the plurality of order products to generate order label data corresponding to each order product.
Optionally, the output module 305 is specifically configured to: acquiring a template component corresponding to a preset order label template; performing data batch filling on the template component according to the order label data corresponding to each order product to generate a plurality of target order labels; and performing label typesetting and file conversion on the plurality of target order labels to generate a target label file.
Optionally, the intelligent tag automatic linkage generating device further includes:
the verification module 306 is configured to visually display the target tag file through a visual interface of the second order processing system, and call a preset tag verification template to perform identification verification on the target tag file to obtain an identification verification result; and performing label file management and query configuration on the target label file according to the identification and verification result.
In the embodiment of the invention, an order processing request issued by a first order processing system is received and analyzed to obtain an order data table, then a second order processing system is used for carrying out data source attribute configuration on the order data table, data table information identification is carried out on the order data table to improve the identification accuracy of the order data table, order label data corresponding to each order product is generated according to order modes of a plurality of order products, target order labels of a plurality of order products are generated in batches according to the order label data corresponding to each order product to obtain a plurality of target order labels, label typesetting is carried out on the plurality of target order labels to generate a target label file, the generation efficiency of the order labels can be greatly improved by adopting the target order labels for generating the plurality of order products in batches, and the order numbering is carried out on the order label data, and the accuracy of order label generation is improved by constructing an intelligent order label linkage generation mechanism.
Fig. 3 and 4 describe the intelligent tag automatic linkage generation device in the embodiment of the present invention in detail from the perspective of the modular functional entity, and the intelligent tag automatic linkage generation device in the embodiment of the present invention is described in detail from the perspective of hardware processing.
Fig. 5 is a schematic structural diagram of an intelligent tag automatic linkage generating device 500 according to an embodiment of the present invention, where the intelligent tag automatic linkage generating device 500 may have a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 510 (e.g., one or more processors) and a memory 520, and one or more storage media 530 (e.g., one or more mass storage devices) for storing application programs 533 or data 532. Memory 520 and storage media 530 may be, among other things, transient storage or persistent storage. The program stored on the storage medium 530 may include one or more modules (not shown), each of which may include a series of instructional operations on the intelligent tag automated linkage generating device 500. Still further, the processor 510 may be configured to communicate with the storage medium 530 to execute a series of instruction operations in the storage medium 530 on the intelligent tag automated linkage generating apparatus 500.
The intelligent tag automated linkage generating apparatus 500 may also include one or more power supplies 540, one or more wired or wireless network interfaces 550, one or more input-output interfaces 560, and/or one or more operating systems 531, such as Windows server, mac OS X, unix, linux, freeBSD, and the like. Those skilled in the art will appreciate that the intelligent tag automated linkage generating device configuration shown in fig. 5 does not constitute a limitation of the intelligent tag automated linkage generating device and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.
The invention also provides an intelligent automatic tag linkage generation device, which comprises a memory and a processor, wherein the memory stores computer readable instructions, and the computer readable instructions, when executed by the processor, enable the processor to execute the steps of the intelligent automatic tag linkage generation method in the above embodiments.
The invention also provides a computer readable storage medium, which may be a non-volatile computer readable storage medium, or a volatile computer readable storage medium, wherein the computer readable storage medium has stored therein instructions, which when run on a computer, cause the computer to execute the steps of the intelligent label automatic linkage generation method.
Further, the computer-readable storage medium may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function, and the like; the storage data area may store data created according to the use of the blockchain node, and the like.
The block chain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, a consensus mechanism, an encryption algorithm and the like. A block chain (Blockchain), which is essentially a decentralized database, is a string of data blocks associated by using a cryptographic method, and each data block contains information of a batch of network transactions, which is used for verifying the validity (anti-counterfeiting) of the information and generating a next block. The blockchain may include a blockchain underlying platform, a platform product service layer, an application service layer, and the like.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. An intelligent label automatic linkage generation method is characterized by comprising the following steps:
receiving an order processing request issued by a preset first order processing system, performing request analysis on the order processing request to obtain an order data table, and acquiring a data type corresponding to the order data table;
transmitting the order data table to a preset second order processing system according to the data type, and performing data source attribute configuration on the order data table through the second order processing system to obtain a data source configuration result;
performing order product identification on the order data table according to the data source configuration result to obtain a plurality of order products, and extracting data table information of the plurality of order products respectively to obtain a plurality of order product information, wherein the plurality of order product information comprises: the product name, the product quantity, the order date and the remark information of each order product;
acquiring order modes of the plurality of order products, generating an order number of each order product according to the order modes, and generating order label data corresponding to each order product according to the order numbers and the plurality of order product information;
and generating target order labels of the plurality of order products in batch according to the order label data corresponding to each order product to obtain a plurality of target order labels, and performing label typesetting on the plurality of target order labels to generate a target label file.
2. The method for generating an intelligent label in an automatic linkage manner according to claim 1, wherein the step of receiving and presetting an order processing request issued by a first order processing system, performing request analysis on the order processing request to obtain an order data table, and acquiring a data type corresponding to the order data table comprises the steps of:
receiving an order processing request issued by a preset first order processing system, and acquiring a data request identifier corresponding to the order processing request;
performing request analysis on the order processing request to obtain a database address;
inquiring an order data table corresponding to the data request identification according to the database address;
and inquiring the data type corresponding to the order data table.
3. The method for generating intelligent labels in an automatic linkage manner according to claim 1, wherein the step of transmitting the order data table to a preset second order processing system according to the data type and performing data source attribute configuration on the order data table through the second order processing system to obtain a data source configuration result comprises:
transmitting the order data table to a preset second order processing system, and performing database type setting on the second order processing system according to the data type to obtain a set second order processing system;
matching the target data source attribute corresponding to the order data table through the set second order processing system;
and performing data source attribute configuration on the order data table according to the target data source attribute to obtain a data source configuration result.
4. The method according to claim 1, wherein the order product identification is performed on the order data table according to the data source configuration result to obtain a plurality of order products, and data table information of the plurality of order products is extracted respectively to obtain a plurality of pieces of order product information, wherein the plurality of pieces of order product information include: the product name, product quantity, order date and remark information of each order product comprises the following components:
performing product identification recognition on the order data table according to the data source configuration result to obtain a plurality of product identifications;
obtaining a plurality of order products in the order data table according to the plurality of product identifiers;
acquiring a mapping relation between the plurality of order products and product information, and extracting data table information from the order data table according to the mapping relation to obtain a plurality of order product information, wherein the plurality of order product information comprises: product name, product quantity, order date, and remark information for each ordered product.
5. The method according to claim 1, wherein the obtaining an order mode of the plurality of order products, generating an order number of each order product according to the order mode, and generating order label data corresponding to each order product according to the order number and the information of the plurality of order products comprises:
obtaining an order mode of the plurality of order products, wherein the order mode comprises: general orders and urgent orders;
respectively carrying out order numbering on the plurality of order products according to the order mode to generate an order number of each order product;
and integrating the label data of the order number and the information of the plurality of order products to generate order label data corresponding to each order product.
6. The method according to claim 1, wherein the generating of the target order labels of the plurality of order products in batch according to the order label data corresponding to each order product to obtain a plurality of target order labels, and performing label typesetting on the plurality of target order labels to generate a target label file comprises:
acquiring a template component corresponding to a preset order label template;
performing data batch filling on the template component according to the order label data corresponding to each order product to generate a plurality of target order labels;
and performing label typesetting and file conversion on the plurality of target order labels to generate a target label file.
7. The intelligent label automatic linkage generation method according to any one of claims 1 to 6, further comprising:
visually displaying the target label file through a visual interface of the second order processing system, and calling a preset label checking template to perform identification checking on the target label file to obtain an identification checking result;
and performing label file management and query configuration on the target label file according to the identification and verification result.
8. An intelligent automatic label linkage generation device, which is characterized by comprising:
the receiving module is used for receiving and presetting an order processing request issued by a first order processing system, performing request analysis on the order processing request to obtain an order data table, and acquiring a data type corresponding to the order data table;
the configuration module is used for transmitting the order data table to a preset second order processing system according to the data type and carrying out data source attribute configuration on the order data table through the second order processing system to obtain a data source configuration result;
an identification module, configured to perform order product identification on the order data table according to the data source configuration result to obtain a plurality of order products, and extract data table information of the plurality of order products respectively to obtain a plurality of order product information, where the plurality of order product information includes: the product name, product quantity, order date and remark information of each order product;
the generating module is used for acquiring the order mode of the plurality of order products, generating the order number of each order product according to the order mode, and generating order label data corresponding to each order product according to the order number and the information of the plurality of order products;
and the output module is used for generating target order labels of the plurality of order products in batches according to the order label data corresponding to each order product to obtain a plurality of target order labels, and performing label typesetting on the plurality of target order labels to generate a target label file.
9. An intelligent tag automatic linkage generation device, characterized in that the intelligent tag automatic linkage generation device includes: a memory and at least one processor, the memory having instructions stored therein;
the at least one processor invokes the instructions in the memory to cause the intelligent tag automatic linkage generation device to perform the intelligent tag automatic linkage generation method of any of claims 1-7.
10. A computer-readable storage medium having instructions stored thereon, wherein the instructions, when executed by a processor, implement the intelligent tag automatic linkage generation method according to any one of claims 1-7.
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