CN114881755B - Commodity origin rule auditing method and system - Google Patents
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Abstract
The application provides a commodity origin place rule auditing method and a commodity origin place rule auditing system, which can acquire export information and production information of commodities, wherein the export information comprises export destination information, commodity type information and commodity raw material information, and the production information comprises production attributes corresponding to the commodities and at least one attribute value corresponding to each production attribute; predicting the tariff type of the commodity according to the export information, and acquiring a country of origin rule corresponding to the tariff type; judging whether the production information accords with the origin rule or not according to historical audit information, wherein the historical audit information comprises a historical audit result of the origin rule audit of the historical commodity; if the production information conforms to the rules of the origin, the tariff value of the commodity is calculated according to the tariff type, so that the problems of low auditing efficiency and low accuracy rate of whether the commodity conforms to the rules of the origin in the prior art are solved, the accuracy of the calculated tariff value can be ensured, and the national financial loss is avoided.
Description
Technical Field
The application relates to the technical field of tax control, in particular to a method and a system for auditing commodity origin place rules.
Background
The International Free Trade agreement (International Trade agreement) generally refers to two or more countries/regions, and by signing a Free Trade agreement, tax-related relief is mutually given, so that Free flow of production elements such as commodities, services, capital, technology and personnel is promoted, advantage complementation is realized, and co-development is promoted. The exemption from the tax concern is generally related to whether the goods comply with the ground of origin rule, which is a specific rule for determining the country/region where the goods are produced or manufactured. Therefore, the examination of whether the goods conform to the origin rule is one of the important links for calculating the tariff.
At present, the calculation of the customs duty of a commodity needs to rely on the manual arrangement of the relevant information of the raw materials of the commodity of an enterprise to be declared, and then the commodity is submitted to a customs single window of a certificate and certification authority of a domestic origin place or a national international trade promotion committee, whether the commodity accords with the rules of the origin place is checked through manual checking by an auditor, and the corresponding customs duty of the commodity is reduced and exempted only when the commodity accords with the rules of the origin place, so that the loss of the national finance is avoided.
However, since the related information of the raw materials of the commodity relates to a plurality of factors and a large amount of data, and with the rapid increase of international trade business, the auditor needs to check and process a large amount of data every day, which not only affects the efficiency of the audit, but also affects the accuracy of the audit.
Disclosure of Invention
The application provides a method and a system for checking commodity origin place rules, which are used for solving the problems of low checking efficiency and low accuracy rate of whether commodities accord with the origin place rules in the prior art.
In a first aspect, the present application provides a method for auditing commodity origin rule, which is characterized by including obtaining export information and production information of a commodity, where the export information includes export destination information, commodity type information, and commodity raw material information, and the production information includes production attributes corresponding to the commodity and at least one attribute value corresponding to each of the production attributes; predicting the tariff type of the commodity according to the export information, and acquiring a rule of origin corresponding to the tariff type; judging whether the production information accords with the origin place rule or not according to historical audit information, wherein the historical audit information comprises a historical audit result of the origin place rule audit of the historical commodity; and if the production information conforms to the rule of origin, calculating the tariff value of the commodity according to the tariff type.
Optionally, the historical audit information further includes historical production information of the historical commodity, where the historical production information includes historical production attributes corresponding to the historical commodity and at least one historical attribute value corresponding to each of the historical production attributes, and the step of determining whether the production information meets the rule of origin includes dividing each of the production attributes into a first attribute and a second attribute according to a data type of the attribute value corresponding to the production attribute, where the data type of the attribute value includes a numerical type and a boolean type, the first attribute is a production attribute whose data type is the numerical value, and the second attribute is a production attribute whose data type is the boolean type; according to the first attribute and the second attribute, calculating the similarity between the commodity and each historical commodity, and determining the historical commodity with the maximum similarity with the commodity as a target historical commodity; and judging whether the production information conforms to the origin place rule or not according to the historical audit information corresponding to the target historical commodity.
Optionally, in the step of calculating the similarity between the commodity and each historical commodity, the method further includes performing normalization calculation on an attribute value corresponding to a target first attribute according to a first preset function to obtain a normalized attribute value corresponding to the target first attribute, where the target first attribute is any one of the first attributes, and the first preset function is:
wherein the content of the first and second substances,
represents the value of the target attribute, soThe target attribute value is any one of the attribute values corresponding to the target first attribute,
representing a normalized attribute value corresponding to the target attribute value,
representing the attribute value with the smallest value corresponding to the target first attribute,
representing the attribute value with the maximum value corresponding to the target first attribute;
and calculating the similarity between the commodity and each historical commodity according to the normalized attribute value and a historical attribute value corresponding to a first target historical production attribute, wherein the first target historical production attribute is the historical production attribute which is the same as the target first attribute.
Optionally, in the step of calculating the similarity between the commodity and each historical commodity according to the normalized attribute value and the historical attribute value corresponding to the first target historical production attribute, the method further includes obtaining a historical normalized attribute value corresponding to each historical production attribute, where the historical normalized attribute value is obtained by performing a normalization calculation on the historical attribute value corresponding to each first target historical production attribute by using a first preset function to obtain the similarity between the commodity and each historical commodity based on the normalized attribute value and each historical normalized attribute value.
Optionally, in the step of calculating the similarity between the commodity and each historical commodity based on the normalized attribute value and each historical normalized attribute value, the similarity between the commodity and each historical commodity is obtained based on a second preset function, where the second preset function is:
wherein the content of the first and second substances,
is inversely related to the similarity,nis a preset sequence number for representing the target first attribute,
is the difference of the normalized attribute value and the historical normalized attribute value,
is the weight of the target first property,
is a weight of the first target historical production attribute.
Optionally, the number of the first target historical production attributes is obtained
(ii) a Determining a second target historical production attribute based on the historical attribute value corresponding to each first target historical production attribute, wherein the second target historical production attribute is the first target historical production attribute corresponding to the maximum number of the historical attribute values; obtaining the quantity value with the maximum quantity of the historical attribute values corresponding to the second target historical production attribute
(ii) a Calculating the standard deviation between the historical attribute values corresponding to the second target historical production attribute
(ii) a Calculating the weight of the first attribute of the target based on a third preset function
The third preset function is:
optionally, in the step of calculating the similarity between the commodity and each historical commodity, the method further includes: according to the attribute value corresponding to the second attribute and the historical attribute value corresponding to a third target historical production attribute, and based on a fourth preset function, calculating the similarity between the commodity and each historical commodity, wherein the third target historical production attribute is the historical production attribute which is the same as the target second attribute, and the fourth preset function is as follows:
wherein the content of the first and second substances,
is inversely related to the similarity,n’is a preset sequence number used for representing the second attribute,
is the weight of the second property and,
is a weight of the third target historical production attribute, and when the attribute value corresponding to the second attribute is the same as the historical attribute value corresponding to the third target historical production attribute,
when the attribute value corresponding to the second attribute is different from the historical attribute value corresponding to the third target historical production attribute,
。
optionally, the method further comprises obtaining historical production attributes of the third targetNumber of
(ii) a Determining a fourth target historical production attribute based on the historical attribute value corresponding to each third target historical production attribute, wherein the fourth target historical production attribute is the third target historical production attribute corresponding to the maximum number of the historical attribute values; obtaining the quantity value with the maximum quantity of the historical attribute values corresponding to the fourth target historical production attribute
(ii) a Calculating the standard deviation between the historical attribute values corresponding to the historical production attribute of the fourth target
(ii) a Calculating a weight of the second attribute based on a fifth preset function
The fifth preset function is:
optionally, in the step of calculating, according to the first attribute and the second attribute, a similarity between the commodity and each historical commodity, and determining the historical commodity having the greatest similarity with the commodity as the target historical commodity, the method further includes: calculating the similarity between the commodity and each historical commodity based on a sixth preset function, wherein the sixth preset function is as follows:
will be described in
The historical quotient corresponding to the minimum value ofAnd determining the product as the target historical commodity.
In a second aspect, the present application provides a system for auditing commodity origin place rules, including:
a data sorting module: the system comprises a data processing unit, a data processing unit and a data processing unit, wherein the data processing unit is used for acquiring export information and production information of commodities, the export information comprises export destination information, commodity type information and commodity raw material information, and the production information comprises production attributes corresponding to the commodities and at least one attribute value corresponding to each production attribute;
the forecasting module is used for forecasting the tariff type of the commodity according to the export information and acquiring a rule of origin corresponding to the tariff type;
the auditing module is used for judging whether the production information accords with the origin place rule or not according to historical auditing information, wherein the historical auditing information comprises a historical auditing result of the origin place rule auditing of the historical commodities;
if the production information conforms to the rule of origin, calculating the tariff value of the commodity according to the tariff type;
and the storage module is used for storing the commodities of which the production information accords with the origin place rule.
According to the technical scheme, the commodity origin place rule auditing method and the commodity origin place rule auditing system can acquire export information and production information of commodities, wherein the export information comprises export destination information, commodity type information and commodity raw material information, and the production information comprises production attributes corresponding to the commodities and at least one attribute value corresponding to each production attribute; predicting the tariff type of the commodity according to the export information, and acquiring a country of origin rule corresponding to the tariff type; judging whether the production information accords with the origin rule or not according to historical audit information, wherein the historical audit information comprises a historical audit result of the origin rule audit of the historical commodity; if the production information conforms to the rules of the origin, the tariff value of the commodity is calculated according to the tariff type, so that the problems of low auditing efficiency and low accuracy rate of whether the commodity conforms to the rules of the origin in the prior art are solved, the accuracy of the calculated tariff value can be ensured, and the national financial loss is avoided.
Drawings
FIG. 1 is a flow chart of a method for auditing goods origin rule provided in the present application;
fig. 2 is a structural diagram of an audit system of commodity origin place rules provided in the present application.
Detailed Description
To make the purpose and embodiments of the present application clearer, the following will clearly and completely describe the exemplary embodiments of the present application with reference to the attached drawings in the exemplary embodiments of the present application, and it is obvious that the described exemplary embodiments are only a part of the embodiments of the present application, and not all of the embodiments.
It should be noted that the brief descriptions of the terms in the present application are only for the convenience of understanding the embodiments described below, and are not intended to limit the embodiments of the present application. These terms should be understood in their ordinary and customary meaning unless otherwise indicated.
The terms "first," "second," "third," and the like in the description and claims of this application and in the above-described drawings are used for distinguishing between similar or analogous objects or entities and not necessarily for describing a particular sequential or chronological order, unless otherwise indicated. It is to be understood that the terms so used are interchangeable under appropriate circumstances.
The terms "comprises" and "comprising," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a product or apparatus that comprises a list of elements is not necessarily limited to all elements expressly listed, but may include other elements not expressly listed or inherent to such product or apparatus.
The term "module" refers to any known or later developed hardware, software, firmware, artificial intelligence, fuzzy logic, or combination of hardware or/and software code that is capable of performing the functionality associated with that element.
The International Free Trade agreement (International Trade agreement) generally refers to two or more countries/regions, and by signing a Free Trade agreement, tax-related relief is mutually given, so that Free flow of production elements such as commodities, services, capital, technology and personnel is promoted, advantage complementation is realized, and co-development is promoted. Tax concerns are often associated with the compliance of goods with local regulations, which refer to specific regulations established and enforced by a country in accordance with the principles defined by national directives or international agreements, to determine the country or region in which goods are produced or manufactured. In order to implement differential treatment of customs duties, quantity restrictions or other measures related to trade, the reviewer must determine the country of origin of the imported goods according to the criteria of the rules of origin, and give a corresponding policy. Therefore, the rule of origin plays an important role in international trade, and the auditing of whether the commodity conforms to the rule of origin is one of the important links for calculating the tariff.
With the continuous deepening of international cooperation, international trade agreements are signed in each country and region disputes, and the number of the international trade agreements signed in one country can be dozens or even dozens. At present, the calculation of the customs of the commodity depends on the relevant information of manually arranging the raw materials of the commodity by an enterprise to be declared, and then the commodity is submitted to a customs single window of a certificate and certificate authority of a domestic origin place or a domestic international trade promotion committee, and the commodity is checked to check whether the commodity accords with the rules of the origin place through manual checking by an auditor, and the corresponding customs of the commodity is reduced or avoided only when the commodity accords with the rules of the origin place, thereby avoiding the financial loss of the country.
However, since the related information of the raw materials of the commodity relates to a plurality of factors and a large amount of data, and with the rapid increase of international trade business, the auditor needs to check and process a large amount of data every day, which not only affects the efficiency of the audit, but also affects the accuracy of the audit.
On the basis, according to the commodity origin place rule auditing method and system, a practitioner can synchronously calculate whether the commodity conforms to the corresponding origin place rule only by inputting a few parameters, so that the problems of low auditing efficiency and low accuracy rate of whether the commodity conforms to the origin place rule in the prior art are solved, the accuracy of the calculated tariff value can be ensured, and the national financial loss is avoided.
Fig. 1 is a flowchart of an auditing method for commodity origin place rules provided by the present application, and as shown in fig. 1, the auditing method for commodity origin place rules provided by the present application includes:
s100: and acquiring export information and production information of the commodity.
The export information includes export destination information, commodity type information and commodity raw material information, and the export destination information is a destination where the commodity needs to be exported, such as a country a region, a country B region, a country c region, and the like. The commodity type information can be represented by an Hs code corresponding to the commodity, the Hs code is generally composed of 6 digits (such as 012132), the first digit and the second digit are used for representing a chapter category (01) of the commodity, the third digit and the fourth digit are used for representing a category (21) of the commodity, and the fifth digit and the sixth digit are used for representing a sub-category (32) of the commodity. The commodity raw material information comprises raw material composition of the commodity, raw material import country of the commodity and category information of the raw material, wherein the category information of the raw material can be used
It is shown that the process of the present invention,
is a multi-dimensional vector.
In some embodiments, the merchandise may be packaged
The export information and production information of (a) is standardized to the following format:
wherein the content of the first and second substances,
indicating the information of the destination of the export,
it may be a 1-dimensional vector that is,
representing a production attribute of the good and at least one attribute value corresponding to the production attribute,
may be a 2*n dimensional matrix, the same commodity may include multiple production attributes, for example, the merchandise attributes may include, but are not limited to, the following 9 items (
~
）：
(whether or not the current product contains raw material),
(whether the current product contains micro-machining),
(degree of similarity of current product and raw material Hs),
(section of current product raw material),
(target raw material quantity),
(ratio of target raw material to product fob price),
(ratio of target raw material to product weight),
(whether or not there is a chemical reaction),
(the country of import of raw materials).
Initially null for filling in the tariff type for the predicted commodity.
In some embodiments, the production attributes may be divided into a first attribute and a second attribute according to the data type of the attribute value corresponding to the production attribute, where the data type of the attribute value includes a numeric type and a boolean type, the first attribute is the production attribute whose data type of the attribute value is the numeric type, and the second attribute is the production attribute whose data type of the attribute value is the boolean type, for example, for the production attribute whose data type of the attribute value is the boolean type
(whether the current product contains raw materials) and the corresponding attribute value is yes/no, then
A first attribute whose data type is boolean and which is a corresponding attribute value; for the
(target raw material quantity), which may correspond to an attribute value of 50, then
Is the second attribute for which the data type of the corresponding attribute value is numeric.
S200: and predicting the tariff type of the commodity according to the export information, and acquiring a rule of origin corresponding to the tariff type.
In some embodiments, the tariff type of the commodity may be predicted based on any of several parameters in the export information of the commodity, and filled in
Then, acquiring a place of origin rule corresponding to the predicted tariff type, and judging whether the commodity meets the predicted tariff type according to the auditing result of whether the production information of the commodity meets the place of origin rule.
S300: and judging whether the production information conforms to the origin rule or not according to the historical audit information.
The historical audit information also comprises historical production information of the historical commodities, and the historical production information comprises historical production attributes corresponding to the historical commodities and at least one historical attribute value corresponding to each historical production attribute.
In some embodiments, from the first attribute and the second attribute, a similarity of the item to each historical item may be calculated.
According to a first preset function, performing normalization calculation on an attribute value corresponding to a first attribute of a target to obtain a normalized attribute value corresponding to the first attribute of the target, where the first attribute of the target is any one of the first attributes, and the first preset function is:
In some embodiments, according to each
Attribute structure boundary points in all protocols, e.g.,
representing the similarity degree of the current product and the raw material Hs, and respectively belonging to different tariff types aiming at the conditions of different 2, 3, 4 and 6 bits in the codes of the product and the raw material Hs in all protocols, so that the product and the raw material Hs are similar to each other
Before normalization, the attributes can take values of 2, 3, 4 and 6; according to this way, all of the processing
Possibly including demarcation points, and forming corresponding preselected values for normalization calculations.
In some embodiments, the similarity between the commodity and each historical commodity can be calculated according to the normalized attribute value and the historical attribute value corresponding to the first target historical production attribute, wherein the first target historical production attribute is the same historical production attribute as the target first attribute. Calculating the similarity between the commodity and each historical commodity according to the normalized attribute value and the historical attribute value corresponding to the first target historical production attribute comprises the following steps: acquiring a historical normalized attribute value corresponding to each historical production attribute, wherein the historical normalized attribute value is obtained by performing normalization calculation on the historical attribute value corresponding to each first target historical production attribute by using a first preset function; based on the normalized attribute values and the historical normalized attribute values, the similarity between the commodity and each historical commodity can be calculated.
In some embodiments, the similarity between the commodity and each historical commodity may be calculated based on a second preset function, where the second preset function is:
In some embodiments, the weight of the target first attribute may be calculated by
：
S211: obtaining the number of the historical production attributes of the first target
；
S212: determining a second target historical production attribute based on the historical attribute value corresponding to each first target historical production attribute, wherein the second target historical production attribute is the first target historical production attribute corresponding to the maximum number of historical attribute values;
s213: obtaining a quantity value corresponding to the second target historical production attribute and having the maximum quantity of historical attribute values
；
S214: calculating the standard deviation between the historical attribute values corresponding to the historical production attribute of the second target
；
S215: calculating the weight of the first attribute of the target based on a third preset function
The third predetermined function is:
in some embodiments, the similarity between the commodity and each historical commodity can be calculated according to the attribute value corresponding to the second attribute and the historical attribute value corresponding to a third target historical production attribute, and based on a fourth preset function, where the third target historical production attribute is the same historical production attribute as the target second attribute, and the fourth preset function is:
in some embodiments, the weight of the second attribute may be calculated by
：
S221: obtaining the number of the third target historical production attributes
；
S222: determining a fourth target historical production attribute based on the historical attribute value corresponding to each third target historical production attribute, wherein the fourth target historical production attribute is the third target historical production attribute corresponding to the maximum number of the historical attribute values;
s223: obtaining a quantity value corresponding to the fourth target historical production attribute and having the maximum quantity of historical attribute values
；
S224: calculating the standard deviation between the historical attribute values corresponding to the historical production attribute of the fourth target
；
S225: calculating a second attribute based on a fifth predetermined functionWeight of (2)
The fifth preset function is:
in some embodiments, the similarity between the commodity and each historical commodity may be calculated based on a sixth preset function, where the sixth preset function is:
wherein the content of the first and second substances,
inversely correlated with the similarity, can be
The historical commodity corresponding to the minimum value of (2) is determined as the target historical commodity when
If =0, it indicates that the commodity completely matches the historical commodity of the comparison.
S400: and if the production information conforms to the rule of origin, calculating the tariff value of the commodity according to the tariff type.
In some embodiments, whether the production information of the commodity conforms to the rule of the place of origin or not can be judged according to the historical audit information corresponding to the target historical commodity, and if the production information of the commodity conforms to the rule of the place of origin, the tariff value of the commodity can be calculated according to the tariff type obtained through prediction, so that the national financial loss is avoided.
According to the method for auditing the commodity origin place rule, the application also provides an auditing system for the commodity origin place rule, and referring to fig. 2, the structural diagram of the auditing system for the commodity origin place rule provided by the application is shown in fig. 2, and the system comprises a data sorting module, a prediction module, an auditing module, a storage module and a self-learning module. The data sorting module is connected with the prediction module in a one-way mode, the prediction module is connected with the auditing module in a one-way mode, the storage module is connected with the prediction module in a two-way mode, the self-learning module is connected with the prediction module in a two-way mode, and the storage module is connected with the self-learning module in a two-way mode. In addition, the present application may also include more modules, such as a transmitting module, a receiving module, and the like.
In some embodiments, the data sorting module may be configured to clean the input data, specifically, collect export information and corresponding commodity production information that is declared by an enterprise to a certificate issuing authority of a place of origin, and perform corresponding data normalization and cleaning on the data according to a preset rule to form data in a standard format, where the data declared by the enterprise includes commodity export contract data of the enterprise, logistics data of the enterprise, data of an enterprise export declaration form, and the like, and the commodity production information includes raw material composition of export commodities, processing procedure data of a production processing link, and the like.
In some embodiments, the forecasting module is used for forecasting the tariff type of the commodity according to the export information and acquiring the origin rule corresponding to the tariff type.
In some embodiments, the auditing module is configured to determine whether the production information complies with the origin rule according to historical auditing information, where the historical auditing information includes a historical auditing result of the origin rule auditing of the historical commodities. And if the production information conforms to the rule of origin, calculating the tariff value of the commodity according to the tariff type.
In some embodiments, the storage module is used for storing the commodities of which the production information accords with the origin rule for subsequent calling. In addition, the storage module controls the self-learning module to self-learn the stored information every preset time so as to delete overdue data and correct the auditing result of historical data.
According to the technical scheme, the commodity origin place rule auditing method and the commodity origin place rule auditing system can acquire export information and production information of a commodity, wherein the export information comprises export destination information, commodity type information and commodity raw material information, and the production information comprises production attributes corresponding to the commodity and at least one attribute value corresponding to each production attribute; predicting the tariff type of the commodity according to the export information, and acquiring a country of origin rule corresponding to the tariff type; judging whether the production information accords with the origin rule or not according to historical audit information, wherein the historical audit information comprises a historical audit result of the origin rule audit of the historical commodity; if the production information accords with the origin place rule, the tariff value of the commodity is calculated according to the tariff type, so that the problems of low efficiency and low accuracy rate of checking whether the commodity accords with the origin place rule in the prior art are solved, the accuracy of the calculated tariff value can be ensured, and the national financial loss is avoided.
In a specific implementation manner, the present invention further provides a computer storage medium, where the computer storage medium may store a program, and when the program is executed, the program may include some or all of the steps in each embodiment of the method and system for checking the commodity origin rule provided by the present invention. The storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM) or a Random Access Memory (RAM).
Those skilled in the art will readily appreciate that the techniques of the embodiments of the present invention may be implemented as software plus a required general purpose hardware platform. Based on such understanding, the technical solutions in the embodiments of the present invention may be essentially or partially implemented in the form of a software product, which may be stored in a storage medium, such as ROM/RAM, magnetic disk, optical disk, etc., and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.
The foregoing description, for purposes of explanation, has been presented in conjunction with specific embodiments. However, the illustrative discussions above are not intended to be exhaustive or to limit the embodiments to the precise forms disclosed above. Many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles and the practical application, to thereby enable others skilled in the art to best utilize the embodiments and various embodiments with various modifications as are suited to the particular use contemplated.
Claims (5)
1. A commodity origin place rule auditing method is characterized by comprising the following steps:
the method comprises the steps of obtaining export information and production information of commodities, wherein the export information comprises export destination information, commodity type information and commodity raw material information, and the production information comprises production attributes corresponding to the commodities and at least one attribute value corresponding to each production attribute;
predicting the tariff type of the commodity according to the export information, and acquiring a rule of origin corresponding to the tariff type;
dividing each production attribute into a first attribute and a second attribute according to the data type of the attribute value corresponding to the production attribute, wherein the data type of the attribute value comprises a numerical type and a Boolean type, the first attribute is the production attribute of which the data type of the attribute value is the numerical type, and the second attribute is the production attribute of which the data type of the attribute value is the Boolean type; the historical audit information comprises a historical audit result of performing origin place rule audit on historical commodities and historical production information of the historical commodities, wherein the historical production information comprises historical production attributes corresponding to the historical commodities and at least one historical attribute value corresponding to each historical production attribute;
according to a first preset function, performing normalization calculation on an attribute value corresponding to a target first attribute to obtain a normalized attribute value corresponding to the target first attribute, wherein the target first attribute is any one of the first attributes, and the first preset function is as follows:
wherein the content of the first and second substances,
representing a target attribute value, the target attribute value being any one of the attribute values corresponding to the target first attribute,
representing a normalized attribute value corresponding to the target attribute value,
representing the attribute value with the smallest value corresponding to the target first attribute,
representing the attribute value with the maximum value corresponding to the target first attribute;
acquiring a historical normalized attribute value corresponding to each historical production attribute, wherein the historical normalized attribute value is obtained by performing normalization calculation on the historical attribute value corresponding to each first target historical production attribute by using a first preset function; wherein the first target historical production attribute is the same historical production attribute as the target first attribute;
based on a second preset function, obtaining the similarity between the commodity and each historical commodity, wherein the second preset function is as follows:
wherein the content of the first and second substances,
is inversely related to the similarity,nis a preset sequence number for representing the target first attribute,
is the difference of the normalized attribute value and the historical normalized attribute value,
is the weight of the target first attribute,
is a weight of the first target historical production attribute;
wherein the weight of the target first attribute
The method comprises the following steps:
obtaining the number of the first target historical production attributes
；
Determining a second target historical production attribute based on the historical attribute value corresponding to each first target historical production attribute, wherein the second target historical production attribute is the first target historical production attribute corresponding to the maximum number of the historical attribute values;
obtaining the quantity value with the maximum quantity of the historical attribute values corresponding to the second target historical production attribute
；
Calculating the standard deviation between the historical attribute values corresponding to the second target historical production attribute
；
Calculating the weight of the first attribute of the target based on a third preset function
The third preset function is:
determining the historical commodities with the maximum similarity to the commodities as target historical commodities;
judging whether the production information accords with the origin place rule or not according to the historical audit information corresponding to the target historical commodity;
and if the production information accords with the origin place rule, calculating the tariff value of the commodity according to the tariff type.
2. The method of claim 1, further comprising:
according to the attribute value corresponding to the second attribute and the historical attribute value corresponding to a third target historical production attribute, and based on a fourth preset function, calculating the similarity between the commodity and each historical commodity, wherein the third target historical production attribute is the historical production attribute which is the same as the target second attribute, and the fourth preset function is as follows:
wherein the content of the first and second substances,
is inversely related to the similarity,n’is a preset sequence number used for representing the second attribute,
is the weight of the second attribute and,
is a weight of the third target historical production attribute, and when the attribute value corresponding to the second attribute is the same as the historical attribute value corresponding to the third target historical production attribute,
=0, when the attribute value corresponding to the second attribute is different from the historical attribute value corresponding to the third target historical production attribute,
=1。
3. the method of claim 2, further comprising:
obtaining the number of the third target historical production attributes
；
Determining a fourth target historical production attribute based on the historical attribute value corresponding to each third target historical production attribute, wherein the fourth target historical production attribute is the third target historical production attribute corresponding to the maximum number of the historical attribute values;
obtaining the quantity value with the maximum quantity of the historical attribute values corresponding to the fourth target historical production attribute
；
Calculating the standard deviation between the historical attribute values corresponding to the historical production attribute of the fourth target
；
Calculating a weight of the second attribute based on a fifth preset function
The fifth preset function is:
4. the method of claim 3, further comprising:
calculating the similarity between the commodity and each historical commodity based on a sixth preset function, wherein the sixth preset function is as follows:
will be described in
The historical commodity corresponding to the minimum value of (2) is determined as the target historical commodity.
5. An audit system of commodity origin place rules is characterized by comprising:
a data sorting module: the system comprises a data processing unit, a data processing unit and a data processing unit, wherein the data processing unit is used for acquiring export information and production information of commodities, the export information comprises export destination information, commodity type information and commodity raw material information, and the production information comprises production attributes corresponding to the commodities and at least one attribute value corresponding to each production attribute;
the forecasting module is used for forecasting the tariff type of the commodity according to the export information and acquiring a source place rule corresponding to the tariff type; dividing each production attribute into a first attribute and a second attribute according to the data type of the attribute value corresponding to the production attribute, wherein the data type of the attribute value comprises a numerical type and a Boolean type, the first attribute is the production attribute of which the data type of the attribute value is the numerical type, and the second attribute is the production attribute of which the data type of the attribute value is the Boolean type; the historical audit information comprises a historical audit result of performing origin place rule audit on historical commodities and historical production information of the historical commodities, wherein the historical production information comprises historical production attributes corresponding to the historical commodities and at least one historical attribute value corresponding to each historical production attribute;
according to a first preset function, performing normalization calculation on an attribute value corresponding to a target first attribute to obtain a normalized attribute value corresponding to the target first attribute, wherein the target first attribute is any one of the first attributes, and the first preset function is as follows:
wherein, the first and the second end of the pipe are connected with each other,
representing a target attribute value, the target attribute value being any one of the attribute values corresponding to the target first attribute,
representing a normalized attribute value corresponding to the target attribute value,
representing the attribute value with the smallest value corresponding to the target first attribute,
representing the attribute value with the maximum value corresponding to the target first attribute;
acquiring a historical normalized attribute value corresponding to each historical production attribute, wherein the historical normalized attribute value is obtained by performing normalization calculation on the historical attribute value corresponding to each first target historical production attribute by using a first preset function; wherein the first target historical production attribute is the same historical production attribute as the target first attribute;
based on a second preset function, obtaining the similarity between the commodity and each historical commodity, wherein the second preset function is as follows:
wherein the content of the first and second substances,
is inversely related to the degree of similarity,nis a preset sequence number for representing the target first attribute,
is the difference of the normalized attribute value and the historical normalized attribute value,
is the weight of the target first attribute,
is a weight of the first target historical production attribute;
wherein the weight of the target first attribute
The method comprises the following steps:
obtaining the number of the first target historical production attributes
；
Determining a second target historical production attribute based on the historical attribute value corresponding to each first target historical production attribute, wherein the second target historical production attribute is the first target historical production attribute corresponding to the maximum number of the historical attribute values;
obtaining the quantity value with the maximum quantity of the historical attribute values corresponding to the second target historical production attribute
；
Calculating the standard deviation between the historical attribute values corresponding to the second target historical production attribute
；
Calculating the weight of the first attribute of the target based on a third preset function
The third preset function is:
determining the historical commodities with the maximum similarity to the commodities as target historical commodities;
the auditing module is used for judging whether the production information accords with the origin place rule or not according to historical auditing information, wherein the historical auditing information comprises a historical auditing result of the origin place rule auditing of historical commodities;
if the production information accords with the origin place rule, calculating the tariff value of the commodity according to the tariff type;
and the storage module is used for storing the commodities of which the production information accords with the origin place rule.
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| CN114528421A (en) * | 2022-02-18 | 2022-05-24 | 百果园技术(新加坡)有限公司 | Content auditing method and device, electronic equipment and storage medium |
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