CN111210321A - Risk early warning method and system based on contract management - Google Patents
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Abstract
The invention discloses a risk early warning method and a risk early warning system based on contract management, wherein the method comprises the following steps: receiving a contract name input by a user, and inquiring in a database which is stored in a pre-association manner according to the contract name to obtain contract elements, financial data and tax data; generating analysis data corresponding to the contract through a preset rule according to the contract elements, the financial data and the tax data; inputting the analysis data into a risk analysis model trained in advance to obtain a risk analysis result; carrying out early warning according to the risk analysis result; the method and the system are based on contract management, the contract is associated with tax data and financial data, and tax risks under the collected contract, tax data and financial data are pre-stored through a pre-trained big data model; the method and the system combine the contract with the tax and the finance, and realize the integration of risk control and industrial finance and tax at the beginning of contract establishment.
Description
Technical Field
The invention relates to the technical field of tax control, in particular to a risk early warning method and system based on contract management.
Background
The contract is the source of the business flow and is also the basis of the invoice flow. The business content contained in the contract is rich and is related to the tax data and the accounting data. The existing tax risk early warning and monitoring mainly realizes the early warning of tax risks by analyzing and monitoring tax data. And the tax risk reflected by the tax data is often not comprehensive, so that the tax risk early warning is not very accurate.
Disclosure of Invention
In order to solve the problem that the tax risk reflected by tax data in the background technology is incomplete, so that the tax risk early warning is not very accurate, the invention provides a risk early warning method and a risk early warning system based on contract management; the method and the system are based on contract management, the contract is associated with tax data and financial data, and tax risks under the collected contract, tax data and financial data are pre-stored through a pre-trained big data model; the risk early warning method based on contract management comprises the following steps:
receiving a contract name input by a user, and inquiring in a database which is stored in a pre-association manner according to the contract name to obtain contract elements, financial data and tax data;
generating analysis data corresponding to the contract through a preset rule according to the contract elements, the financial data and the tax data;
inputting the analysis data into a risk analysis model trained in advance to obtain a risk analysis result;
and carrying out early warning according to the risk analysis result.
Further, a contract archive database is established according to contract elements of a plurality of contracts of an enterprise; the contract elements are obtained by scanning keywords of the contract in advance;
the contract archive database is in butt joint with a financial system and a tax system through a preset interface rule;
inquiring in a financial system according to the contract elements to obtain financial data;
inquiring and acquiring tax data in a tax system according to the contract elements;
and taking the contract name as a main key, and storing the contract elements, the financial data and the tax data in an associated manner.
Further, if the pre-trained risk analysis models comprise a plurality of types, calculating the analysis data through each type of risk analysis model to obtain a plurality of risk analysis results;
comparing the risk analysis results to obtain a superposition part and a non-superposition part;
taking the risk analysis result of the overlapped part as a main risk analysis result and taking the risk analysis result of the non-overlapped part as an auxiliary risk analysis result;
and early warning is carried out according to the main risk analysis result and the auxiliary risk analysis result.
Further, the training method of the pre-trained analysis model comprises the following steps:
acquiring a plurality of groups of comparison data corresponding to enterprises of preset scales of preset industries in preset areas; the comparison data comprises associated contract elements, financial data, tax data and corresponding risk analysis results;
and training through a machine learning algorithm according to the multiple groups of comparison data to obtain a transverse analysis model as a risk analysis model.
Further, the training method of the pre-trained analysis model comprises the following steps:
acquiring a plurality of groups of comparison data of the enterprise in a preset history period; the comparison data comprises associated contract elements, financial data, tax data and corresponding risk analysis results;
and training through a machine learning algorithm according to the multiple groups of comparison data to obtain a longitudinal analysis model as a risk analysis model.
Further, the performing early warning according to the risk analysis result includes:
calculating the influence amount on the financial statement according to the risk analysis result and a preset rule;
calculating the influence amount on the tax statement according to the risk analysis result and a preset rule;
and generating early warning information according to the risk analysis result, the influence sum on the financial statement and the influence sum on the tax statement, and performing early warning.
The risk early warning system based on contract management comprises:
the data extraction unit is used for receiving a contract name input by a user, and inquiring a pre-associated and stored database according to the contract name to obtain contract elements, financial data and tax data;
the data extraction unit is used for generating analysis data corresponding to the contract according to the contract elements, the financial data and the tax data through preset rules;
the model analysis unit is used for inputting the analysis data into a risk analysis model trained in advance to obtain a risk analysis result;
and the early warning unit is used for carrying out early warning according to the risk analysis result.
Further, the system further comprises:
a contract management unit for establishing a contract archive database according to contract elements of a plurality of contracts of an enterprise; the contract elements are obtained by scanning keywords of the contract in advance;
the contract management unit is used for butting the contract archive database with a financial system and a tax system through a preset interface rule;
the contract management unit is used for inquiring in the financial system according to the contract elements to obtain financial data and inquiring in the tax system according to the contract elements to obtain tax data;
the contract management unit is used for storing the contract elements, the financial data and the tax data in the contract archive database in an associated manner by taking the contract name as a main key.
Further, the system includes a model training unit; if the pre-trained risk analysis model comprises a plurality of types:
the model analysis unit is used for calculating the analysis data through each risk analysis model to obtain a plurality of risk analysis results;
the model analysis unit is used for comparing the risk analysis results to obtain an overlapped part and a non-overlapped part;
the model analysis unit is used for taking a risk analysis result of the overlapped part as a main risk analysis result and taking a risk analysis result of the non-overlapped part as an auxiliary risk analysis result;
and the early warning unit carries out early warning according to the main risk analysis result and the auxiliary risk analysis result.
Further, the model training unit is used for obtaining multiple groups of comparison data corresponding to enterprises of preset scales in a preset area in a preset industry; the comparison data comprises associated contract elements, financial data, tax data and corresponding risk analysis results;
and the model training unit is used for training through a machine learning algorithm according to the multiple groups of comparison data to obtain a transverse analysis model as a risk analysis model.
Further, the model training unit is used for obtaining multiple sets of comparison data of the enterprise in a preset historical period; the comparison data comprises associated contract elements, financial data, tax data and corresponding risk analysis results;
and the model training unit is used for training through a machine learning algorithm according to the multiple groups of comparison data to obtain a longitudinal analysis model as a risk analysis model.
Further, the early warning unit is used for calculating the influence amount on the financial statement according to the risk analysis result and a preset rule;
the early warning unit is used for calculating the influence amount on the tax statement according to the risk analysis result and a preset rule;
and the early warning unit is used for generating early warning information according to the risk analysis result, the influence sum on the financial statement and the influence sum on the tax statement and carrying out early warning.
The invention has the beneficial effects that: the technical scheme of the invention provides a risk early warning method and system based on contract management; the method and the system are based on contract management, the contract is associated with tax data and financial data, and tax risks under the collected contract, tax data and financial data are pre-stored through a pre-trained big data model; the method and the system combine the contract with the tax and the finance, and realize the integration of risk control and industrial finance and tax at the beginning of contract establishment.
Drawings
A more complete understanding of exemplary embodiments of the present invention may be had by reference to the following drawings in which:
fig. 1 is a flowchart of a risk early warning method based on contract management according to an embodiment of the present invention;
fig. 2 is a structural diagram of a risk pre-warning system based on contract management according to an embodiment of the present invention;
Detailed Description
The exemplary embodiments of the present invention will now be described with reference to the accompanying drawings, however, the present invention may be embodied in many different forms and is not limited to the embodiments described herein, which are provided for complete and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments illustrated in the accompanying drawings is not intended to be limiting of the invention. In the drawings, the same units/elements are denoted by the same reference numerals.
Unless otherwise defined, terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. Further, it will be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense.
Fig. 1 is a flowchart of a risk early warning method based on contract management according to an embodiment of the present invention; as shown in fig. 1, the method comprises:
in this embodiment, before step 110, a database for managing storage is established;
collecting contracts of enterprises, and determining contract elements of each contract according to preset formats and rules; the contract elements are shown, such as item or labor name, model, unit price, amount, tax amount, etc. related to the contract;
establishing a contract archive database according to contract elements of a plurality of contracts of an enterprise; the contract elements are obtained by scanning keywords of the contract in advance;
the contract archive database is in butt joint with a financial system and a tax system through a preset interface rule;
inquiring in a financial system according to the contract elements to obtain financial data;
inquiring and acquiring tax data in a tax system according to the contract elements;
and taking the contract name as a main key, and storing the contract elements, the financial data and the tax data in an associated manner.
the analysis data of the contract is generated by contract elements, financial data and tax data through a preset specified format, and the format content of the analysis data used in training is ensured to be the same as that of the analysis data used in early warning.
before executing step 130, the method needs to train a risk analysis model in advance, and the risk analysis model can be one or more; if the pre-trained risk analysis models comprise a plurality of types, calculating the analysis data through each type of risk analysis model to obtain a plurality of risk analysis results;
comparing the risk analysis results to obtain a superposition part and a non-superposition part;
taking the risk analysis result of the overlapped part as a main risk analysis result and taking the risk analysis result of the non-overlapped part as an auxiliary risk analysis result;
and early warning is carried out according to the main risk analysis result and the auxiliary risk analysis result.
Further, the training method of the pre-trained analysis model comprises the following steps:
acquiring a plurality of groups of comparison data corresponding to enterprises of preset scales of preset industries in preset areas; the comparison data comprises associated contract elements, financial data, tax data and corresponding risk analysis results;
and training through a machine learning algorithm according to the multiple groups of comparison data to obtain a transverse analysis model as a risk analysis model.
Further, the training method of the pre-trained analysis model comprises the following steps:
acquiring a plurality of groups of comparison data of the enterprise in a preset history period; the comparison data comprises associated contract elements, financial data, tax data and corresponding risk analysis results;
and training through a machine learning algorithm according to the multiple groups of comparison data to obtain a longitudinal analysis model as a risk analysis model.
And 140, early warning is carried out according to the risk analysis result.
In this embodiment, the early warning includes:
calculating the influence amount on the financial statement according to the risk analysis result and a preset rule;
calculating the influence amount on the tax statement according to the risk analysis result and a preset rule;
and generating early warning information according to the risk analysis result, the influence sum on the financial statement and the influence sum on the tax statement, and performing early warning.
Fig. 2 is a structural diagram of a risk pre-warning system based on contract management according to an embodiment of the present invention; as shown in fig. 2, the system includes:
a data extraction unit 210, wherein the data extraction unit 210 is configured to receive a contract name input by a user, and obtain contract elements, financial data and tax data by querying a database stored in advance according to the contract name;
the data extraction unit 210 is configured to generate analysis data corresponding to the contract according to the contract elements, the financial data, and the tax data through a preset rule;
a model analysis unit 220, wherein the model analysis unit 220 is configured to input the analysis data into a risk analysis model trained in advance to obtain a risk analysis result;
an early warning unit 230, wherein the early warning unit 230 is configured to perform early warning according to the risk analysis result.
Further, the system further comprises:
a contract management unit 240, the contract management unit 240 being configured to establish a contract profile database based on contract elements of a plurality of contracts for an enterprise; the contract elements are obtained by scanning keywords of the contract in advance;
the contract management unit 240 is configured to interface the contract archive database with a financial system and a tax system through a preset interface rule;
the contract management unit 240 is configured to obtain financial data by querying in the financial system according to the contract elements, and obtain tax data by querying in the tax system according to the contract elements;
the contract management unit 240 is configured to store the contract elements, the financial data and the tax data in the contract profile database in an associated manner by taking the contract name as a main key.
Further, the system comprises a model training unit 250; if the pre-trained risk analysis model comprises a plurality of types:
the model analysis unit 220 is configured to calculate the analysis data through each risk analysis model to obtain a plurality of risk analysis results;
the model analysis unit 220 is configured to compare the risk analysis results to obtain an overlapped portion and a non-overlapped portion;
the model analysis unit 220 is configured to use a risk analysis result of the overlapped portion as a main risk analysis result, and use a risk analysis result of the non-overlapped portion as an auxiliary risk analysis result;
the early warning unit 230 performs early warning according to the main risk analysis result and the auxiliary risk analysis result.
Further, the model training unit 250 is configured to obtain multiple sets of comparison data corresponding to enterprises of a preset scale in a preset area in a preset industry; the comparison data comprises associated contract elements, financial data, tax data and corresponding risk analysis results;
the model training unit 250 is configured to train through a machine learning algorithm according to the multiple sets of comparison data, and obtain a lateral analysis model as a risk analysis model.
Further, the model training unit 250 is configured to obtain multiple sets of comparison data of the enterprise in a preset history period; the comparison data comprises associated contract elements, financial data, tax data and corresponding risk analysis results;
the model training unit 250 is configured to train through a machine learning algorithm according to the multiple sets of comparison data, and obtain a longitudinal analysis model as a risk analysis model.
Further, the early warning unit 230 is configured to calculate, according to the risk analysis result, an influence amount on the financial statement according to a preset rule;
the early warning unit 230 is configured to calculate, according to the risk analysis result, an influence amount on the tax statement according to a preset rule;
the early warning unit 230 is configured to generate early warning information according to the risk analysis result, the influence amount on the financial statement, and the influence amount on the tax statement, and perform early warning.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the disclosure may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise. Reference to step numbers in this specification is only for distinguishing between steps and is not intended to limit the temporal or logical relationship between steps, which includes all possible scenarios unless the context clearly dictates otherwise.
Moreover, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the disclosure and form different embodiments. For example, any of the embodiments claimed in the claims can be used in any combination.
Various component embodiments of the disclosure may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. The present disclosure may also be embodied as apparatus or device programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present disclosure may be stored on a computer-readable medium or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the disclosure, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. 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 disclosure 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 foregoing is directed to embodiments of the present disclosure, and it is noted that numerous improvements, modifications, and variations may be made by those skilled in the art without departing from the spirit of the disclosure, and that such improvements, modifications, and variations are considered to be within the scope of the present disclosure.
Claims (12)
1. A risk early warning method based on contract management is characterized by comprising the following steps:
receiving a contract name input by a user, and inquiring in a database which is stored in a pre-association manner according to the contract name to obtain contract elements, financial data and tax data;
generating analysis data corresponding to the contract through a preset rule according to the contract elements, the financial data and the tax data;
inputting the analysis data into a risk analysis model trained in advance to obtain a risk analysis result;
and carrying out early warning according to the risk analysis result.
2. The method of claim 1, wherein:
establishing a contract archive database according to contract elements of a plurality of contracts of an enterprise; the contract elements are obtained by scanning keywords of the contract in advance;
the contract archive database is in butt joint with a financial system and a tax system through a preset interface rule;
inquiring in a financial system according to the contract elements to obtain financial data;
inquiring and acquiring tax data in a tax system according to the contract elements;
and taking the contract name as a main key, and storing the contract elements, the financial data and the tax data in an associated manner.
3. The method of claim 1, wherein:
if the pre-trained risk analysis models comprise a plurality of types, calculating the analysis data through each type of risk analysis model to obtain a plurality of risk analysis results;
comparing the risk analysis results to obtain a superposition part and a non-superposition part;
taking the risk analysis result of the overlapped part as a main risk analysis result and taking the risk analysis result of the non-overlapped part as an auxiliary risk analysis result;
and early warning is carried out according to the main risk analysis result and the auxiliary risk analysis result.
4. The method of claim 3, wherein the method of training the pre-trained analytical model comprises:
acquiring a plurality of groups of comparison data corresponding to enterprises of preset scales of preset industries in preset areas; the comparison data comprises associated contract elements, financial data, tax data and corresponding risk analysis results;
and training through a machine learning algorithm according to the multiple groups of comparison data to obtain a transverse analysis model as a risk analysis model.
5. The method of claim 3, wherein the method of training the pre-trained analytical model comprises:
acquiring a plurality of groups of comparison data of the enterprise in a preset history period; the comparison data comprises associated contract elements, financial data, tax data and corresponding risk analysis results;
and training through a machine learning algorithm according to the multiple groups of comparison data to obtain a longitudinal analysis model as a risk analysis model.
6. The method of claim 1, wherein the pre-warning based on the risk analysis result comprises:
calculating the influence amount on the financial statement according to the risk analysis result and a preset rule;
calculating the influence amount on the tax statement according to the risk analysis result and a preset rule;
and generating early warning information according to the risk analysis result, the influence sum on the financial statement and the influence sum on the tax statement, and performing early warning.
7. A risk pre-warning system based on contract management, the system comprising:
the data extraction unit is used for receiving a contract name input by a user, and inquiring a pre-associated and stored database according to the contract name to obtain contract elements, financial data and tax data;
the data extraction unit is used for generating analysis data corresponding to the contract according to the contract elements, the financial data and the tax data through preset rules;
the model analysis unit is used for inputting the analysis data into a risk analysis model trained in advance to obtain a risk analysis result;
and the early warning unit is used for carrying out early warning according to the risk analysis result.
8. The system of claim 7, further comprising:
a contract management unit for establishing a contract archive database according to contract elements of a plurality of contracts of an enterprise; the contract elements are obtained by scanning keywords of the contract in advance;
the contract management unit is used for butting the contract archive database with a financial system and a tax system through a preset interface rule;
the contract management unit is used for inquiring in the financial system according to the contract elements to obtain financial data and inquiring in the tax system according to the contract elements to obtain tax data;
the contract management unit is used for storing the contract elements, the financial data and the tax data in the contract archive database in an associated manner by taking the contract name as a main key.
9. The system of claim 7, wherein: the system includes a model training unit; if the pre-trained risk analysis model comprises a plurality of types:
the model analysis unit is used for calculating the analysis data through each risk analysis model to obtain a plurality of risk analysis results;
the model analysis unit is used for comparing the risk analysis results to obtain an overlapped part and a non-overlapped part;
the model analysis unit is used for taking a risk analysis result of the overlapped part as a main risk analysis result and taking a risk analysis result of the non-overlapped part as an auxiliary risk analysis result;
and the early warning unit carries out early warning according to the main risk analysis result and the auxiliary risk analysis result.
10. The system of claim 9, wherein:
the model training unit is used for acquiring multiple groups of comparison data corresponding to enterprises of preset scales in a preset area in a preset industry; the comparison data comprises associated contract elements, financial data, tax data and corresponding risk analysis results;
and the model training unit is used for training through a machine learning algorithm according to the multiple groups of comparison data to obtain a transverse analysis model as a risk analysis model.
11. The system of claim 9, wherein:
the model training unit is used for acquiring a plurality of groups of comparison data of the enterprise in a preset historical period; the comparison data comprises associated contract elements, financial data, tax data and corresponding risk analysis results;
and the model training unit is used for training through a machine learning algorithm according to the multiple groups of comparison data to obtain a longitudinal analysis model as a risk analysis model.
12. The system of claim 7, wherein:
the early warning unit is used for calculating the influence amount on the financial statement according to the risk analysis result and a preset rule;
the early warning unit is used for calculating the influence amount on the tax statement according to the risk analysis result and a preset rule;
and the early warning unit is used for generating early warning information according to the risk analysis result, the influence sum on the financial statement and the influence sum on the tax statement and carrying out early warning.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113326684A (en) * | 2021-08-03 | 2021-08-31 | 江苏金恒信息科技股份有限公司 | Contract signing management method, system and device |
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