CN112926885A - Intelligent classification method and system for customs commodity codes - Google Patents

Intelligent classification method and system for customs commodity codes Download PDF

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Publication number
CN112926885A
CN112926885A CN202110338661.5A CN202110338661A CN112926885A CN 112926885 A CN112926885 A CN 112926885A CN 202110338661 A CN202110338661 A CN 202110338661A CN 112926885 A CN112926885 A CN 112926885A
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commodity
customs
parameters
category
declaration
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孔利民
张敏
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Shenzhen Xiaoguan Intelligent Co ltd
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Shenzhen Xiaoguan Intelligent Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/067—Enterprise or organisation modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/243—Classification techniques relating to the number of classes
    • G06F18/24323—Tree-organised classifiers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G06Q10/0831—Overseas transactions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders

Abstract

The invention discloses an intelligent classification method for customs commodity codes, which comprises the following steps: classifying the commodity data according to the commodity category and then establishing a commodity parameter model; acquiring commodity parameters according to the commodity parameter model, and adding the commodity parameters to a commodity material library; adding customs commodity codes to each commodity in the commodity material library according to a classification rule based on the commodity parameters; when a customs declaration is received, acquiring the model of a commodity to be declared, and acquiring a corresponding customs commodity code from the commodity material library; and determining required declaration elements according to the customs commodity codes, and acquiring corresponding declaration element values according to the declaration commodity model. The invention also discloses a customs commodity code intelligent classification system, an intelligent classification device and a computer readable storage medium, which solve the problems of high classification efficiency and error rate of customs commodity codes in the prior art, improve the classification efficiency of commodity codes and reduce the classification cost.

Description

Intelligent classification method and system for customs commodity codes
Technical Field
The invention relates to the technical field of text classification, in particular to a customs commodity code intelligent classification method and system, an intelligent classification device and a computer readable storage medium.
Background
The commodity classification means that under a commodity classification catalogue system of Commodity name and code coordination system convention, based on import and export tax rules of the people's republic of China, the items of import and export tax rule number columns of goods are determined according to import and export tax rule commodity and item annotation, local country subcategory annotation of import and export tax rules of the people's republic of China and regulations about administrative adjudication of commodity classification and commodity classification decision issued by customs service; taking the commodity classification of electronic material parts of supply chain enterprises as an example, the manual classification is divided into three stages, namely: searching information such as a product, product attribute parameters, a product specification and the like on line according to a model provided by a client; and a second stage: confirming the name and customs code according to the classification tool and personal experience; and a third stage: confirming the tax rate, the supervision condition and the declaration element value (the product attribute parameters required to be filled in by customs).
Problems in the prior art include the following: firstly, the method comprises the following steps: the browsing and classifying tools need a lot of time to complete, and the efficiency is generally low; secondly, the method comprises the following steps: the error rate is high due to the manual intervention and the variation of the skill quality of the personnel; thirdly, the method comprises the following steps: enterprises have high requirements on clearance timeliness, and need to invest more personnel cost.
Therefore, it is important to design an intelligent classification method and system for customs goods codes to improve classification efficiency and reduce error rate.
Disclosure of Invention
The invention mainly aims to provide a customs commodity code intelligent classification method and system, an intelligent classification device and a computer readable storage medium, aiming at solving the problems of high customs commodity code classification efficiency and high error rate in the prior art.
In order to achieve the above object, the present invention provides an intelligent classification method for customs commodity codes, comprising the following steps:
in one embodiment, a commodity parameter model is established after commodity data is classified according to commodity categories;
acquiring commodity parameters according to the commodity parameter model, and adding the commodity parameters to a commodity material library;
adding customs commodity codes to each commodity in the commodity material library according to a classification rule based on the commodity parameters;
when a customs declaration is received, acquiring the model of a commodity to be declared, and acquiring a corresponding customs commodity code from the commodity material library;
and determining required declaration elements according to the customs commodity codes, and acquiring corresponding declaration element values according to the models of the commodities to be declared.
In an embodiment, the building a commodity parameter model after classifying the commodity data according to the commodity category includes:
obtaining authorized commodity data, classifying the commodity data according to commodity categories and storing the commodity data in a level corresponding to a tree category hierarchical structure;
the tree category hierarchical structure comprises a first-level commodity category, a second-level commodity category and a third-level commodity category which are sequentially subordinate, and a commodity parameter model is established according to the third-level commodity category.
In an embodiment, the acquiring the commodity parameters according to the commodity parameter model and adding the commodity parameters to a commodity material library includes:
acquiring commodity parameters by adopting the commodity parameter model, and filling the commodity parameters with corresponding commodity parameter values;
and adding the commodity parameters and the commodity parameter values into a commodity material library.
In one embodiment, the merchandise material library includes: commodity category, commodity parameter, and commodity parameter value.
In an embodiment, the adding a customs commodity code to each commodity in the commodity material library according to a classification rule based on the commodity parameter includes:
acquiring commodity parameters corresponding to three-level commodity categories stored in a commodity material library, and formulating classification rules for the commodity parameters respectively;
and adding a customs commodity code to each commodity in the commodity material library based on the classification rule.
In one embodiment, the method further comprises:
acquiring declaration elements corresponding to customs commodity codes;
matching the declaration elements with commodity parameters in a commodity material library, and respectively making corresponding rules;
acquiring an element to be declared, and searching a commodity parameter matched with the element to be declared according to the corresponding rule;
and taking the commodity parameter value corresponding to the commodity parameter as a declaration element value of the element to be declared.
In order to achieve the above object, the present invention further provides a customs goods code intelligent classification system, which in an embodiment includes:
a commodity parameter model establishing module: the commodity parameter model is established after the commodity data is classified according to the commodity category;
a classification rule making module: the commodity parameter model is used for acquiring commodity parameters according to the commodity parameter model and adding the commodity parameters to a commodity material library; adding customs commodity codes to each commodity in the commodity material library according to a classification rule based on the commodity parameters;
customs declaration module: the customs declaration server is used for acquiring the model of the commodity to be declared when the customs declaration is received, and acquiring the corresponding customs commodity code from the commodity material library; and determining required declaration elements according to the customs commodity codes, and acquiring corresponding declaration element values according to the models of the commodities to be declared.
In one embodiment, the customs goods code intelligent classification system comprises: obtaining authorized commodity data, classifying the commodity data according to commodity categories and storing the commodity data in a level corresponding to a tree category hierarchical structure;
the tree category hierarchical structure comprises a first-level commodity category, a second-level commodity category and a third-level commodity category which are sequentially subordinate, and a commodity parameter model is established according to the third-level commodity category.
In order to achieve the above object, the present invention further provides an intelligent classification device, which includes a memory, a processor, and a customs goods code intelligent classification program stored in the memory and executable on the processor, wherein the customs goods code intelligent classification program, when executed by the processor, implements the steps of the customs goods code intelligent classification method as described above.
In order to achieve the above object, the present invention further provides a computer readable storage medium, wherein the computer readable storage medium stores a customs goods code intelligent classification program, and when the customs goods code intelligent classification program is executed by a processor, the customs goods code intelligent classification program implements the steps of the customs goods code intelligent classification method as described above.
The customs commodity code intelligent classification method and system, the intelligent classification device and the computer readable storage medium provided by the invention at least have the following technical effects:
the method comprises the steps of obtaining authorized commodity data, classifying the commodity data according to commodity categories and storing the classified commodity data in levels corresponding to a tree category hierarchical structure, establishing a commodity parameter model for three-level commodity categories of the tree category hierarchical structure, collecting commodity parameters according to the commodity parameter model, adding the commodity parameters to a commodity material library, adding customs commodity codes to each commodity in the commodity material library according to classification rules based on the commodity parameters, obtaining a commodity model to be declared when receiving customs declaration, obtaining a corresponding customs commodity code from the commodity material library, determining required declaration elements according to the customs commodity codes, obtaining corresponding declaration element values according to the commodity model to be declared, and solving the problems of high classification efficiency and high error rate of the customs commodity codes in the prior art, the classification efficiency of the commodity codes is improved, and the classification cost is reduced.
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FIG. 1 is a schematic structural diagram of an intelligent classification apparatus according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart illustrating a first embodiment of the method for intelligently classifying customs merchandise codes according to the present invention;
FIG. 3 is a detailed flowchart of the step S110 of the customs goods code intelligent classification method according to the first embodiment of the present invention;
FIG. 4 is a detailed flowchart of the step S120 of the customs goods code intelligent classification method according to the first embodiment of the present invention;
FIG. 5 is a detailed flowchart of the step S130 of the customs goods code intelligent classification method according to the first embodiment of the present invention;
FIG. 6 is a schematic structural diagram of the customs goods code intelligent classification system of the present invention;
the implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In order to solve the problem that the classification efficiency and the error rate of customs commodity codes in the prior art are high, the method adopts the technical scheme that authorized commodity data are obtained, the commodity data are classified according to commodity categories and stored in the levels corresponding to the tree category hierarchical structure, a commodity parameter model is established for three levels of commodity categories of the tree category hierarchical structure, commodity parameters are collected according to the commodity parameter model, the commodity parameters are added to a commodity material library, customs commodity codes are added to commodities in the commodity material library according to classification rules based on the commodity parameters, when customs declaration is received, the model of the commodity to be declared is obtained, the corresponding customs commodity code is obtained from the commodity material library, required declaration elements are determined according to the customs commodity codes, and corresponding declaration element values are obtained according to the model of the commodity to be declared, the classification efficiency of the commodity codes is improved, and the classification cost is reduced.
For a better understanding of the above technical solutions, exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
Those skilled in the art will appreciate that the intelligent categorizing apparatus configuration shown in FIG. 1 does not constitute a limitation of the intelligent categorizing apparatus, and that the intelligent categorizing apparatus may include more or less components than those shown, or some components may be combined, or a different arrangement of components.
As an implementation manner, as shown in fig. 1, fig. 1 is a schematic structural diagram of an intelligent classification device according to an embodiment of the present invention.
Processor 1100 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware or instructions in the form of software in the processor 1100. The processor 1100 described above may be a general purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in the memory 1200, and the processor 1100 reads the information in the memory 1200 and performs the steps of the above method in combination with the hardware thereof.
It will be appreciated that memory 1200 in embodiments of the invention may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile Memory may be a Read Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of illustration and not limitation, many forms of RAM are available, such as Static random access memory (Static RAM, SRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic random access memory (Synchronous DRAM, SDRAM), Double Data Rate Synchronous Dynamic random access memory (ddr Data Rate SDRAM, ddr SDRAM), Enhanced Synchronous SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The memory 1200 of the systems and methods described in connection with the embodiments of the invention is intended to comprise, without being limited to, these and any other suitable types of memory.
In an embodiment of the present application, the processor 1100 may be configured to invoke the customs goods code intelligent categorization program stored in the memory 1200, and perform the following operations:
classifying the commodity data according to the commodity category and then establishing a commodity parameter model;
acquiring commodity parameters according to the commodity parameter model, and adding the commodity parameters to a commodity material library;
adding customs commodity codes to each commodity in the commodity material library according to a classification rule based on the commodity parameters;
when a customs declaration is received, acquiring the model of a commodity to be declared, and acquiring a corresponding customs commodity code from the commodity material library;
and determining required declaration elements according to the customs commodity codes, and acquiring corresponding declaration element values according to the models of the commodities to be declared.
In one embodiment, the processor 1100 may be configured to invoke the customs merchandise code intelligent categorization program stored in the memory 1200 and perform the following operations:
obtaining authorized commodity data, classifying the commodity data according to commodity categories and storing the commodity data in a level corresponding to a tree category hierarchical structure;
the tree category hierarchical structure comprises a first-level commodity category, a second-level commodity category and a third-level commodity category which are sequentially subordinate, and a commodity parameter model is established according to the third-level commodity category.
In one embodiment, the processor 1100 may be configured to invoke the customs merchandise code intelligent categorization program stored in the memory 1200 and perform the following operations:
acquiring commodity parameters by adopting the commodity parameter model, and filling the commodity parameters with corresponding commodity parameter values;
and adding the commodity parameters and the commodity parameter values into a commodity material library.
In one embodiment, the processor 1100 may be configured to invoke the customs merchandise code intelligent categorization program stored in the memory 1200 and perform the following operations:
acquiring commodity parameters corresponding to three-level commodity categories stored in a commodity material library, and formulating classification rules for the commodity parameters respectively;
and adding a customs commodity code to each commodity in the commodity material library based on the classification rule.
In one embodiment, the processor 1100 may be configured to invoke the customs merchandise code intelligent categorization program stored in the memory 1200 and perform the following operations:
acquiring declaration elements corresponding to customs commodity codes;
matching the declaration elements with commodity parameters in a commodity material library, and respectively making corresponding rules;
acquiring an element to be declared, and searching a commodity parameter matched with the element to be declared according to the corresponding rule;
and taking the commodity parameter value corresponding to the commodity parameter as a declaration element value of the element to be declared.
Since the intelligent classification device provided in the embodiment of the present application is an intelligent classification device used for implementing the method in the embodiment of the present application, based on the method described in the embodiment of the present application, a person skilled in the art can understand the specific structure and the deformation of the intelligent classification device, and thus details are not described herein. All the intelligent classifying devices adopted by the method of the embodiment of the application belong to the protection scope of the application. The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
For a software implementation, the techniques described in this disclosure may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described in this disclosure. The software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.
Based on the above structure, an embodiment of the present invention is proposed.
Referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the customs commodity code intelligent classification method of the present invention, which includes the following steps:
and step S110, classifying the commodity data according to the commodity category and then establishing a commodity parameter model.
In this embodiment, authorized commodity data is obtained, the commodity data is classified according to commodity categories and stored in levels corresponding to a tree category hierarchical structure, a commodity parameter model is established according to the three-level commodity categories in the tree category hierarchical structure, because parameters of each commodity are different, when a new commodity parameter is input, the commodity parameter model is continuously updated, data information acquired from an authorized party is automatically filled into parameter values according to the commodity parameter model, so that each commodity under the three-level commodity category can obtain a corresponding customs commodity code, the establishment of the commodity parameter model is related to the customs commodity code, and parameters of different commodities are different, for example, the three-level category 'electronic material-discrete semiconductor product-transistor' includes model, manufacturer, power, and the like, Parameters such as current and installation type, and a commodity parameter model established according to the three-level category of 'electronic material-discrete semiconductor product-transistor' can be as follows:
parameter(s) Parameter value
Model number
Manufacturer(s)
Power dissipation
Electric current
If the model of the transistor collected from the authorized party is KP5, the corresponding parameter value column is filled with KP5, and if the collected current of the transistor is 5A, the corresponding parameter value column is filled with 5A, after the commodity parameter model is built, the commodity parameter model can be modified, for example, a commodity parameter is added, a commodity parameter is deleted, and the commodity parameter is changed, because the commodity parameter of each commodity is different, the commodity parameter model corresponding to each commodity is also different.
Referring to fig. 3, fig. 3 is a detailed flowchart of step S110 of the customs goods code intelligent classification method according to the first embodiment of the present invention, which includes the following steps:
and step S111, obtaining authorized commodity data, classifying the commodity data according to commodity categories and storing the commodity data in the levels corresponding to the tree category hierarchical structure.
In this embodiment, before the commodity parameter model is established, a large amount of commodity data may be acquired, where the commodity data may be from customs data, national security, enterprise confidential data, developed unpublished data, and the like, and therefore, before the commodity data is acquired, authorization by a data party is required to acquire authorized commodity data, and the commodity data is classified according to commodity categories and stored in a level corresponding to a tree category hierarchical structure.
And S112, establishing a commodity parameter model according to the three-level commodity category, wherein the tree category hierarchical structure comprises a first-level commodity category, a second-level commodity category and a third-level commodity category which are sequentially subordinate.
In this embodiment, the tree category hierarchy may be represented as a sequentially subordinate hierarchical relationship and includes a one-to-many or many-to-many data structure, the tree category hierarchy has only one specific node without predecessors, which is called a root node, and the remaining n mutually disjoint subsets, where each subset is also a tree, which is called a subtree of the root node; the tree category hierarchical structure has recursion, and the representation method of the tree category hierarchical structure can be one of an inverted tree, a nested method or a concave-convex method; the tree category hierarchy may also be sequential storage, chained storage, or hybrid storage.
In this embodiment, the tree category hierarchical structure includes a first-level commodity category, a second-level commodity category, and a third-level commodity category that are sequentially subordinate to each other, for example, taking electronic material a as an example, data related to electronic material a is acquired, and assuming that electronic material a is the first-level category, the acquired discrete semiconductor product a1, sensor a2, integrated circuit A3, and connector a4 may be used as the second-level category, and the acquired diode a11, transistor a12, and thyristor a13 may be used as the third-level category and located under the discrete semiconductor product of the second-level category, and if new commodity data is acquired as the ultrasonic sensor a21, the obtained discrete semiconductor product may be classified into the third-level category and located under the sensor a2 of the second-level category; because the three-level commodity category comprises different commodities and the commodity parameters are different, the commodity parameter model is established by adopting the three-level commodity category, so that the parameter accuracy is higher; it is particularly noted that the product parameter model for each product is not necessarily the same, which is related to the properties of the product.
Due to the fact that authorized commodity data are obtained, the commodity data are classified according to commodity categories and stored in the levels corresponding to the tree category hierarchical structure, the tree category hierarchical structure comprises a first-level commodity category, a second-level commodity category and a third-level commodity category which are sequentially subordinate, a commodity parameter model is built according to the third-level commodity category, the problem that the classification efficiency of customs commodity codes in the prior art is low is solved, and the commodity parameter model is built after commodity parameters are classified, so that the commodity classification efficiency is improved.
And step S120, acquiring commodity parameters according to the commodity parameter model, and adding the commodity parameters to a commodity material library.
In this embodiment, the commodity material library is equivalent to a database and is used for storing a plurality of commodity information including commodity categories, commodity parameters, commodity parameter values and the like, the commodity parameter is collected by adopting the commodity parameter model, the commodity parameters are filled with corresponding commodity parameter values, the commodity parameters and the commodity parameter values are added into the commodity material library, classification rules are formulated for the commodity parameters, customs commodity codes are added to each commodity in the commodity material library based on the classification rules, and when a commodity model is output, the corresponding commodity parameter values are found as indexes according to the customs commodity codes.
Referring to fig. 4, fig. 4 is a detailed flowchart of step S120 of the customs goods code intelligent classification method according to the first embodiment of the present invention, which includes the following steps:
and step S121, acquiring commodity parameters by adopting the commodity parameter model, and filling corresponding commodity parameter values into the commodity parameters.
In this embodiment, the step of collecting the commodity parameters by using the commodity parameter model refers to collecting the commodity parameters corresponding to the commodities in the third-level category, and filling the commodity parameters with the corresponding commodity parameter values, where the filling process may be manual input, as shown in the commodity parameter model established in step S110, collecting the commodity parameters by using the commodity parameter model, and manually filling the commodity parameters with the corresponding commodity parameter values.
And step S122, adding the commodity parameters and the commodity parameter values into a commodity material library.
In this embodiment, after filling the commodity parameter with the corresponding commodity parameter value, a corresponding relationship exists between the commodity parameter and the commodity parameter value, the commodity parameter and the commodity parameter value are added to the commodity material library, and a classification rule is formulated for each commodity in the commodity material library according to the commodity parameter, so that a uniquely determined customs commodity code can be added to each commodity in the commodity material library according to the classification rule according to the commodity parameter.
The technical scheme that the commodity parameter model is adopted to collect commodity parameters, corresponding commodity parameter values are filled in the commodity parameters, and the commodity parameters and the commodity parameter values are added into the commodity material library realizes that the commodity parameters are collected and the corresponding commodity parameter values are filled according to the commodity parameter model, so that the commodity material library is established to prepare for the formulation of the subsequent classification rules.
And step S130, adding customs commodity codes to each commodity in the commodity material library according to the classification rules based on the commodity parameters.
In this embodiment, commodity parameters corresponding to three-level commodity categories stored in a commodity material library are acquired, classification rules are formulated for the commodity parameters respectively, and customs commodity codes are added to commodities in the commodity material library based on the classification rules.
Referring to fig. 5, fig. 5 is a detailed flowchart of step S130 of the customs goods code intelligent classification method according to the first embodiment of the present invention, which includes the following steps:
step S131, commodity parameters corresponding to three-level commodity categories stored in a commodity material library are obtained, and classification rules are formulated for the commodity parameters respectively.
In this embodiment, commodity parameters corresponding to three-level commodity categories stored in a commodity material library are obtained, customs commodity codes are added to each commodity in the commodity material library according to a classification rule, taking the three-level category "electronic material-discrete semiconductor product-transistor" as an example, a parameter to be added in operation is "power dissipation", when the commodity parameter is less than 1 watt, the entered customs commodity code is 8541210000, and when the parameter value is greater than or equal to 1 watt, the entered customs commodity code is 8541290000; it should be noted that the classification rule may be formulated according to the requirements of customs goods codes, or may be artificially set in combination with experience, because the parameters of each goods are inconsistent, and therefore, the classification rules formulated by different goods parameters are also inconsistent.
And step S132, adding a customs commodity code to each commodity in the commodity material library based on the classification rule.
In this embodiment, the customs goods code refers to a group of 10-digit arabic numbers for dividing the types of goods entering and exiting the goods, and is also called HS code, tax code, and tax code, the customs code in China adopts 10-digit code, the first and second digits of the goods code represent a chapter, the third and fourth digits represent a purpose, the fifth and sixth digits represent a subdirectory, and the last four digits are extended codes according to the actual conditions of import and export goods in China.
Due to the adoption of the technical scheme that the commodity parameters corresponding to the three-level commodity categories stored in the commodity material library are obtained, the classification rules are formulated for the commodity parameters respectively, and the customs commodity codes are added to the commodities in the commodity material library based on the classification rules, the customs commodity codes can be determined according to the commodity categories and the commodity parameters, and the classification rules are formulated for each commodity.
And step S140, when the customs declaration is received, acquiring the model of the commodity to be declared, and acquiring the corresponding customs commodity code from the commodity material library.
In the embodiment, declaration elements corresponding to customs commodity codes are obtained, the declaration elements corresponding to the customs commodity codes are existing, when the corresponding declaration elements are input, the declaration elements are matched with commodity parameters in a commodity material library, and matching of the declaration elements with the commodity parameters in the commodity material library requires formulation of corresponding rules; acquiring an element to be declared, and searching a commodity parameter matched with the element to be declared according to the corresponding rule; the commodity parameter value corresponding to the commodity parameter is used as the declaration element value of the element to be declared, and particularly, the customs commodity code is different, the requirement is different, and the corresponding declaration element is different, so that when the customs declaration is received, the model of the commodity to be declared is obtained, and the corresponding customs commodity code can be obtained from the commodity material library according to the model of the commodity to be declared input to the commodity parameter model, so that the standard customs declaration data can be automatically analyzed.
And S150, determining required declaration elements according to the customs commodity codes, and acquiring corresponding declaration element values according to the types of commodities to be declared.
In this embodiment, according to the declaration requirement of the customs import and export commodity standardization declaration catalog of the people's republic of China, a declared product needs to be subjected to standardization declaration, declaration elements are filled according to requirements, the declaration elements are different and different in requirements according to different customs commodity codes, the required declaration elements are determined according to the customs commodity codes, corresponding declaration element values are obtained according to the models of commodities to be declared, the customs commodity code is 8541210000, transistors with power dissipation less than 1W are taken as examples, declaration elements required to be declared by customs are power dissipation, brands and models, and when the customs declaration is received, the declaration elements automatically correspond to the power dissipation, the manufacturers and the models in the commodity parameter model.
In other embodiments, if the customs commodity code corresponding to the commodity model to be declared cannot be obtained during customs declaration, the commodity model with the highest matching degree with the commodity model to be declared is searched in the commodity material library, the customs commodity code corresponding to the commodity model with the highest matching degree is used as the customs commodity code of the commodity model to be declared, and if the commodity model with the highest matching degree with the commodity model to be declared cannot be searched in the commodity material library, the relevant commodity parameter value can be manually input.
The method comprises the steps of obtaining authorized commodity data, classifying the commodity data according to commodity categories and storing the classified commodity data in levels corresponding to a tree category hierarchical structure, establishing a commodity parameter model for three-level commodity categories of the tree category hierarchical structure, collecting commodity parameters according to the commodity parameter model, adding the commodity parameters to a commodity material library, adding customs commodity codes to each commodity in the commodity material library according to classification rules based on the commodity parameters, obtaining a commodity model to be declared when receiving customs declaration, obtaining a corresponding customs commodity code from the commodity material library, determining required declaration elements according to the customs commodity codes, obtaining corresponding declaration element values according to the commodity model to be declared, and solving the problems of high classification efficiency and high error rate of the customs commodity codes in the prior art, the classification efficiency of the commodity codes is improved, and the classification cost is reduced.
Based on the same inventive concept, the present invention further provides a customs goods code intelligent classification system, as shown in fig. 6, fig. 6 is a schematic structural diagram of the customs goods code intelligent classification system of the present invention, and the system includes: a commodity data acquisition module 10, a classification rule making module 20 and a customs declaration module 30.
The commodity data acquisition module 10 is used for establishing a commodity parameter model after classifying the commodity data according to the commodity category; the commodity data acquisition module 10 classifies the commodity data according to commodity categories by acquiring authorized commodity data and stores the commodity data in a level corresponding to a tree category hierarchical structure; the tree category hierarchical structure comprises a first-level commodity category, a second-level commodity category and a third-level commodity category which are sequentially subordinate, and a commodity parameter model is established according to the third-level commodity category.
The classification rule making module 20 is used for acquiring the commodity parameters according to the commodity parameter model and adding the commodity parameters to a commodity material library; adding customs commodity codes to each commodity in the commodity material library according to a classification rule based on the commodity parameters, specifically, the classification rule making module 20 is used for collecting the commodity parameters by adopting the commodity parameter model and filling corresponding commodity parameter values into the commodity parameters; adding the commodity parameters and the commodity parameter values into a commodity material library; acquiring commodity parameters corresponding to three-level commodity categories stored in a commodity material library, and formulating classification rules for the commodity parameters respectively; and adding a customs commodity code to each commodity in the commodity material library based on the classification rule.
The customs declaration module 30 is configured to obtain a model of a commodity to be declared when receiving a customs declaration, and obtain a corresponding customs commodity code from the commodity material library; determining required declaration elements according to the customs commodity codes, and acquiring corresponding declaration element values according to the models of commodities to be declared; specifically, the customs declaration module 30 is configured to obtain declaration elements corresponding to customs commodity codes; matching the declaration elements with commodity parameters in a commodity material library, and respectively making corresponding rules; acquiring an element to be declared, and searching a commodity parameter matched with the element to be declared according to the corresponding rule; and taking the commodity parameter value corresponding to the commodity parameter as a declaration element value of the element to be declared.
The commodity parameter model establishing module is adopted to classify the commodity data according to the commodity category and then establish the commodity parameter model, the classification rule making module is adopted to acquire the commodity parameters according to the commodity parameter model, and the commodity parameters are added to the commodity material library; adding customs commodity codes to each commodity in the commodity material library according to a classification rule based on the commodity parameters; adopting a customs declaration module to obtain the model of a commodity to be declared when receiving a customs declaration, and obtaining a corresponding customs commodity code from the commodity material library; the required declaration element is determined according to the customs commodity code, and the corresponding declaration element value is obtained according to the model of the commodity to be declared, so that the problems of high classification efficiency and high error rate of the customs commodity code in the prior art are solved, and the classification efficiency of the commodity code is improved and the classification cost is reduced by providing the customs commodity code intelligent classification system.
Based on the same inventive concept, an embodiment of the present application further provides a computer-readable storage medium, where a customs goods code intelligent classification program is stored, and when executed by a processor, the customs goods code intelligent classification program implements the steps of the customs goods code intelligent classification method described above, and can achieve the same technical effects, and is not described herein again to avoid repetition.
Since the computer-readable storage medium provided in the embodiments of the present application is a computer-readable storage medium used for implementing the method in the embodiments of the present application, based on the method described in the embodiments of the present application, those skilled in the art can understand the specific structure and modification of the computer-readable storage medium, and thus details are not described herein. Any computer-readable storage medium that can be used with the methods of the embodiments of the present application is intended to be within the scope of the present application.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It should be noted that in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The usage of the words first, second and third, etcetera do not indicate any ordering. These words may be interpreted as names.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the invention.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.

Claims (10)

1. An intelligent classification method for customs commodity codes is characterized by comprising the following steps:
classifying the commodity data according to the commodity category and then establishing a commodity parameter model;
acquiring commodity parameters according to the commodity parameter model, and adding the commodity parameters to a commodity material library;
adding customs commodity codes to each commodity in the commodity material library according to a classification rule based on the commodity parameters;
when a customs declaration is received, acquiring the model of a commodity to be declared, and acquiring a corresponding customs commodity code from the commodity material library;
and determining required declaration elements according to the customs commodity codes, and acquiring corresponding declaration element values according to the models of the commodities to be declared.
2. The customs commodity code intelligent classification method according to claim 1, wherein the establishing of the commodity parameter model after classifying the commodity data according to the commodity category comprises:
obtaining authorized commodity data, classifying the commodity data according to commodity categories and storing the commodity data in a level corresponding to a tree category hierarchical structure;
the tree category hierarchical structure comprises a first-level commodity category, a second-level commodity category and a third-level commodity category which are sequentially subordinate, and a commodity parameter model is established according to the third-level commodity category.
3. The customs commodity code intelligent classification method according to claim 2, wherein the collecting commodity parameters according to the commodity parameter model and adding the commodity parameters to a commodity material library comprises:
acquiring commodity parameters by adopting the commodity parameter model, and filling the commodity parameters with corresponding commodity parameter values;
and adding the commodity parameters and the commodity parameter values into a commodity material library.
4. The customs commodity code intelligent classification method according to claim 3, wherein the commodity material library comprises: commodity category, commodity parameter, and commodity parameter value.
5. The customs commodity code intelligent classification method according to claim 4, wherein the adding of the customs commodity code to each commodity in the commodity material library according to the classification rule based on the commodity parameter comprises:
acquiring commodity parameters corresponding to three-level commodity categories stored in a commodity material library, and formulating classification rules for the commodity parameters respectively;
and adding a customs commodity code to each commodity in the commodity material library based on the classification rule.
6. The customs goods code intelligent classification method according to claim 1, further comprising:
acquiring declaration elements corresponding to customs commodity codes;
matching the declaration elements with commodity parameters in a commodity material library, and respectively making corresponding rules;
acquiring an element to be declared, and searching a commodity parameter matched with the element to be declared according to the corresponding rule;
and taking the commodity parameter value corresponding to the commodity parameter as a declaration element value of the element to be declared.
7. A customs goods code intelligent classification system, characterized in that the system comprises:
the commodity data acquisition module: the commodity parameter model is established after the commodity data is classified according to the commodity category; acquiring commodity parameters according to the commodity parameter model, and adding the commodity parameters to a commodity material library;
a classification rule making module: the system is used for adding customs commodity codes to each commodity in the commodity material library according to the classification rules based on the commodity parameters;
customs declaration module: the customs declaration server is used for acquiring the model of the commodity to be declared when the customs declaration is received, and acquiring the corresponding customs commodity code from the commodity material library; and determining required declaration elements according to the customs commodity codes, and acquiring corresponding declaration element values according to the models of the commodities to be declared.
8. The customs goods code intelligent classification system according to claim 7, wherein the establishing of the goods parameter model after classifying the goods data according to the goods category comprises:
obtaining authorized commodity data, classifying the commodity data according to commodity categories and storing the commodity data in a level corresponding to a tree category hierarchical structure;
the tree category hierarchical structure comprises a first-level commodity category, a second-level commodity category and a third-level commodity category which are sequentially subordinate, and a commodity parameter model is established according to the third-level commodity category.
9. An intelligent classification device, characterized in that the device comprises a memory, a processor and a customs goods code intelligent classification program stored in the memory and capable of running on the processor, wherein the customs goods code intelligent classification program realizes each step of the customs goods code intelligent classification method according to any one of claims 1-6 when being executed by the processor.
10. A computer-readable storage medium, wherein the computer-readable storage medium stores a customs goods code intelligent categorization program which, when executed by a processor, implements the steps of the customs goods code intelligent categorization method of any of claims 1-6.
CN202110338661.5A 2020-12-14 2021-03-29 Intelligent classification method and system for customs commodity codes Withdrawn CN112926885A (en)

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