CN117611072A - Commercial tenant inlet air control auditing method and system - Google Patents
Commercial tenant inlet air control auditing method and system Download PDFInfo
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- CN117611072A CN117611072A CN202311373197.9A CN202311373197A CN117611072A CN 117611072 A CN117611072 A CN 117611072A CN 202311373197 A CN202311373197 A CN 202311373197A CN 117611072 A CN117611072 A CN 117611072A
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Abstract
The invention discloses a method and a system for auditing the wind control of a business inlet, which relate to the field of the wind control of the business inlet and comprise a control center; the control center is in communication connection with a data acquisition module, a feature extraction module, a model building module, a rule engine module and a manual review module; the control center is used for matching a plurality of modules, so that automatic merchant part-in auditing can be realized, and the burden of manual auditing is reduced; according to the invention, automatic business entry auditing is realized by utilizing data and an algorithm, the burden of manual auditing is reduced, the risk degree of a business can be rapidly and accurately judged by a rule engine, risk assessment is carried out based on big data and multidimensional features, the risk of the business can be more objectively assessed, and the system can be customized and expanded according to actual conditions and is suitable for different industries and business types.
Description
Technical Field
The invention relates to the field of business air inlet control, in particular to a business air inlet control auditing method and a business air inlet control auditing system.
Background
With the development of cloud platforms, products and businesses are continuously promoted to be new, enterprises which enter the platforms are increasingly increased, wind control information screening and checking can be very troublesome by simply manually carrying out the wind control departments, a great amount of time can be consumed, and wind control checking work is difficult to normally run due to the energy problem of personnel. In order to reduce complicated manual screening and checking operations, the corresponding wind control information is automatically pulled according to the wind control model to screen and check the wind control personnel for page display, so that convenience and accuracy of wind control in the aspect of merchant residence are improved.
At present, operators only need to provide enterprise names, unified social credit codes, account opening information, enterprise contacts, business license attachments and business cooperation requirement description information of resident enterprises, and the system can automatically acquire corresponding business inlet wind control information through the unified social credit codes.
And scoring and determining whether rechecking is needed or not by a rule engine through the basic information of the industry and commerce, tax risk information and legal information. The wind control auditor can judge through the wind control information displayed on the page, if each wind control meets the service requirement of the platform, the business can be a platform business, otherwise, the business cannot meet the wind control requirement of the platform and is not allowed to reside on the platform, and therefore, the wind control auditor for the business inlet is provided.
Disclosure of Invention
In order to solve the technical problems, the invention aims to provide a merchant inlet wind control auditing method and a merchant inlet wind control auditing system.
The aim of the invention can be achieved by the following technical scheme: a merchant inlet air control auditing system comprises a control center; the control center is in communication connection with a data acquisition module, a feature extraction module, a model building module, a rule engine module and a manual review module;
the control center is used for matching a plurality of modules, so that automatic merchant part-in auditing can be realized, and the burden of manual auditing is reduced;
the data acquisition module is used for acquiring data, integrating and cleaning, acquiring data from a plurality of data sources by providing enterprise elements such as enterprise names, unified social credit codes and the like of resident enterprises, and integrating and cleaning, wherein the data sources comprise industrial and commercial basic information, tax risks, legal risks and the like;
the feature extraction module is used for extracting features related to merchant risks, including established time, operation state, registered capital, related company abnormal conditions, tax risks, legal risks and the like;
the model building module builds a risk assessment model based on mass data collection and statistical analysis, builds the risk assessment model by utilizing various algorithms, then inputs characteristic data of the merchant into the risk assessment model to generate a risk score, and the risk degree of the merchant can be quantitatively measured by the score;
the rule engine module is used for automatically determining that the auditing passes, the auditing refuses or the manual review is required according to the risk scoring and the pre-auditing rules, and generating corresponding auditing results according to the judgment of the rule engine, wherein the passing, the refusing or the manual review is required;
the manual review module is used for presenting related data and evaluation results to an auditor to assist the auditor to make final audit decisions under the condition that manual review is needed.
Preferably, the data acquisition module acquires data from the data sources through keywords, acquires information such as business basic information, tax risk, legal risk and the like from a plurality of data sources through keywords, and then performs feature extraction on the acquired data through the feature extraction module to extract features related to merchant risk.
Preferably, the feature extraction module mainly extracts information such as establishment time, operation state, registered capital, abnormal conditions of related companies, tax risk, legal risk and the like of enterprises when extracting features, firstly searches whether a merchant name has a branch word eye, if so, searches the head office name by the merchant system, then searches the branch mechanism by the head office system, and searches the stockholder and the external investment of the enterprises by the head office system, and if the merchant name does not have the branch word eye, searches the basic information of the enterprises, the stockholder, the branch mechanism and the external investment by the merchant system.
Preferably, the model building module is used for generating a risk score, building a risk assessment model based on mass data collection and statistical analysis, and building the risk assessment model through the model building module by utilizing a decision tree algorithm when building the risk assessment model, and then measuring the risk degree of the merchant by means of the risk assessment model.
Preferably, the rule engine module is used for automatically determining whether the auditing passes, refuses or needs to be manually checked according to the risk score and a preset rule, and the auditing result can be automatically determined by designing a set of rule engines, so that the burden of manual auditing is reduced, and the risk degree of the merchant can be rapidly and accurately judged through the rule engines.
Preferably, the manual review module is used for making a final review decision, when the rule engine module determines a review result according to the risk score and the pre-review rule, the manual review module starts working if the manual review is required, and for the case of the manual review, the control center presents relevant data and an evaluation structure to the reviewer to assist the reviewer in making the final review decision.
A merchant inlet air control auditing method comprises the following steps:
step one: determining the names and unified social credit codes of two-element enterprises of the resident enterprises;
step two: acquiring information such as basic information of industry and commerce, tax risk, legal risk and the like through a data source;
step three: extracting information such as establishment time, operation state, registered capital, abnormal conditions of related companies, tax risks, legal risks and the like of enterprises;
step four: carrying out model construction on the extracted information by adopting a logistic regression algorithm;
step five: scoring the resident enterprise;
step six: judging whether manual review is needed or not through a rule engine;
step seven: arbitrating whether the enterprise is resident.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, automatic business entry auditing is realized by utilizing data and an algorithm, the burden of manual auditing is reduced, the risk degree of a business can be rapidly and accurately judged by a rule engine, risk assessment is carried out based on big data and multidimensional features, the risk of the business can be more objectively assessed, and the system can be customized and expanded according to actual conditions and is suitable for different industries and business types.
Drawings
FIG. 1 is a schematic diagram of the present invention;
FIG. 2 is a schematic flow chart of the method of the present invention;
FIG. 3 is a schematic workflow diagram of a feature extraction module of the present invention;
FIG. 4 is a schematic workflow diagram of a modeling module of the present invention;
FIG. 5 is a schematic illustration of merchant scoring according to the present invention.
Detailed Description
1-5, a merchant inlet air control auditing system comprises a control center; the control center is in communication connection with a data acquisition module, a feature extraction module, a model building module, a rule engine module and a manual review module;
the invention can be realized as a computer program, can also run on a special server, and provides service through an API interface;
the control center is used for matching a plurality of modules, so that automatic merchant part-in auditing can be realized, and the burden of manual auditing is reduced;
the data acquisition module is used for acquiring data, integrating and cleaning, acquiring data from a plurality of data sources by providing enterprise elements such as enterprise names, unified social credit codes and the like of resident enterprises, and integrating and cleaning, wherein the data sources comprise industrial and commercial basic information, tax risks, legal risks and the like;
the feature extraction module is used for extracting features related to merchant risks, including established time, operation state, registered capital, related company abnormal conditions, tax risks, legal risks and the like;
the model building module builds a risk assessment model based on mass data collection and statistical analysis, builds the risk assessment model by utilizing various algorithms, then inputs characteristic data of the merchant into the risk assessment model to generate a risk score, and the risk degree of the merchant can be quantitatively measured by the score;
the rule engine module is used for automatically determining that the auditing passes, the auditing refuses or the manual review is required according to the risk scoring and the pre-auditing rules, and generating corresponding auditing results according to the judgment of the rule engine, wherein the passing, the refusing or the manual review is required;
the manual review module is used for presenting related data and evaluation results to an auditor to assist the auditor to make final audit decisions under the condition that manual review is needed.
Preferably, the data acquisition module acquires data from the data sources through keywords, acquires information such as business basic information, tax risk, legal risk and the like from a plurality of data sources through keywords, and then performs feature extraction on the acquired data through the feature extraction module to extract features related to merchant risk.
Preferably, the feature extraction module mainly extracts information such as establishment time, operation state, registered capital, abnormal conditions of related companies, tax risk, legal risk and the like of enterprises when extracting features, firstly searches whether a merchant name is provided with a branch business word eye, and searches a branch office by the merchant system generation if the merchant name is provided with the branch business word eye, and then searches the stockholder and the external investment of the enterprises by the main system generation if the merchant name is not provided with the branch business word eye, and searches the basic information of the enterprises, the stockholder, the branch office and the external investment by the merchant system generation if the merchant name is not provided with the branch business word eye;
when the feature extraction is carried out, whether the merchant name is provided with a branch company word or not is firstly required to be judged, when the merchant name is provided with the branch company word, the main company is queried by means of the merchant system, the enterprise name is then utilized to query the basic information of the enterprise, the operation range and the main company system are acquired, the branch mechanism is then utilized to query the main company system for acquiring the enterprise name, the basic information of the enterprise is then utilized to query the basic information of the enterprise, the operation range is acquired, the main company system is utilized to query the stockholder of the enterprise, the enterprise name is utilized to query the basic information of the enterprise, the operation range is acquired, the external investment is then utilized to query the total system, and the enterprise name, namely the operation range is acquired;
when the feature extraction is carried out, the business name does not have a branch company word, the business is utilized to query basic information of the business in a systematic way, then the business stakeholder is utilized to query the business in a systematic way, the business name is acquired, then the basic information of the business is utilized to query the business scope, the branch office is utilized to query the business in a systematic way, the business name is acquired, the basic information of the business is queried through the business name, the business scope is acquired, then the external investment is queried through the merchant in a systematic way, and the business name and the business scope are acquired.
Preferably, the model building module is used for generating a risk score, building a risk assessment model based on mass data collection and statistical analysis, and building the risk assessment model through the model building module by utilizing a decision tree algorithm when building the risk assessment model, and then measuring the risk degree of a merchant by means of the risk assessment model;
when the prediction model is read, searching and inquiring a root node of an enterprise, initializing a node vector, accessing the root node, judging whether sub-nodes exist, if not, returning, and if so, accessing all the sub-nodes once and recording father-son relations, taking the first sub-node as the root node, and then recursively accessing;
in doing the merchant risk scoring, a weight score is calculated from four aspects of basic information, associated company anomalies, tax risk, and legal risk, followed by a total score being generated.
Preferably, the rule engine module is used for automatically determining whether the auditing passes, refuses or needs to be manually checked according to the risk score and a preset rule, and the auditing result can be automatically determined by designing a set of rule engines, so that the burden of manual auditing is reduced, and the risk degree of the merchant can be rapidly and accurately judged through the rule engines.
Preferably, the manual review module is used for making a final review decision, when the rule engine module determines a review result according to the risk score and the pre-review rule, the manual review module starts working if the manual review is required, and for the case of the manual review, the control center presents relevant data and an evaluation structure to the reviewer to assist the reviewer in making the final review decision.
A merchant inlet air control auditing method comprises the following steps:
step one: determining the names and unified social credit codes of two-element enterprises of the resident enterprises;
step two: acquiring information such as basic information of industry and commerce, tax risk, legal risk and the like through a data source;
step three: extracting information such as establishment time, operation state, registered capital, abnormal conditions of related companies, tax risks, legal risks and the like of enterprises;
step four: carrying out model construction on the extracted information by adopting a logistic regression algorithm;
step five: scoring the resident enterprise;
step six: judging whether manual review is needed or not through a rule engine;
step seven: arbitrating whether the enterprise is resident.
The above embodiments are only for illustrating the technical method of the present invention and not for limiting the same, and it should be understood by those skilled in the art that the technical method of the present invention may be modified or substituted without departing from the spirit and scope of the technical method of the present invention.
Claims (7)
1. The merchant inlet air control auditing system is characterized by comprising a control center; the control center is in communication connection with a data acquisition module, a feature extraction module, a model building module, a rule engine module and a manual review module;
the control center is used for matching a plurality of modules, so that automatic merchant part-in auditing can be realized, and the burden of manual auditing is reduced;
the data acquisition module is used for acquiring data, integrating and cleaning, acquiring data from a plurality of data sources by providing enterprise elements such as enterprise names, unified social credit codes and the like of resident enterprises, and integrating and cleaning, wherein the data sources comprise industrial and commercial basic information, tax risks, legal risks and the like;
the feature extraction module is used for extracting features related to merchant risks, including established time, operation state, registered capital, related company abnormal conditions, tax risks, legal risks and the like;
the model building module builds a risk assessment model based on mass data collection and statistical analysis, builds the risk assessment model by utilizing various algorithms, then inputs characteristic data of the merchant into the risk assessment model to generate a risk score, and the risk degree of the merchant can be quantitatively measured by the score;
the rule engine module is used for automatically determining that the auditing passes, the auditing refuses or the manual review is required according to the risk scoring and the pre-auditing rules, and generating corresponding auditing results according to the judgment of the rule engine, wherein the passing, the refusing or the manual review is required;
the manual review module is used for presenting related data and evaluation results to an auditor to assist the auditor to make final audit decisions under the condition that manual review is needed.
2. The system for auditing the wind control of the business inlet according to claim 1, wherein the data acquisition module acquires data from a data source through keywords, acquires information such as basic information of business and industry, tax risks, legal risks and the like from a plurality of data sources through keywords, and then performs feature extraction on the acquired data through the feature extraction module to extract features related to the business risks.
3. The system according to claim 1, wherein the feature extraction module extracts information such as establishment time, operation status, registered capital, abnormal condition of associated company, tax risk, legal risk, etc. of the business when extracting features, firstly searches whether the business name has a branch word, and if so, searches the branch by the business system, and then searches the stockholder and the external investment of the business by the general system, and if the business name does not have a branch word, searches the basic information of the business, the stockholder, the branch and the external investment by the business system.
4. The system according to claim 1, wherein the model building module is configured to generate a risk score, build a risk assessment model based on mass data collection and statistical analysis, and build the risk assessment model by using a decision tree algorithm when building the risk assessment model, and then measure the risk level of the merchant by using the risk assessment model.
5. The system of claim 1, wherein the rule engine module is configured to automatically determine whether the verification passes, refuses or needs to be manually checked according to the risk score and a preset rule, and by designing a set of rule engines, the verification result can be automatically determined, so that the burden of manual verification is reduced, and the risk degree of the merchant can be rapidly and accurately determined by the rule engines.
6. The system of claim 1, wherein the manual review module is configured to make a final review decision, and when the rule engine module determines the review result according to the risk score and the pre-review rule, the manual review module starts working if the manual review is required, and the control center presents the relevant data and the evaluation structure to the reviewer for the case that the manual review is required, so as to assist the reviewer in making the final review decision.
7. The merchant inlet air control auditing method is characterized by comprising the following steps of:
step one: determining the names and unified social credit codes of two-element enterprises of the resident enterprises;
step two: acquiring information such as basic information of industry and commerce, tax risk, legal risk and the like through a data source;
step three: extracting information such as establishment time, operation state, registered capital, abnormal conditions of related companies, tax risks, legal risks and the like of enterprises;
step four: carrying out model construction on the extracted information by adopting a logistic regression algorithm;
step five: scoring the resident enterprise;
step six: judging whether manual review is needed or not through a rule engine;
step seven: arbitrating whether the enterprise is resident.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311373197.9A CN117611072A (en) | 2023-10-23 | 2023-10-23 | Commercial tenant inlet air control auditing method and system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202311373197.9A CN117611072A (en) | 2023-10-23 | 2023-10-23 | Commercial tenant inlet air control auditing method and system |
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| CN117611072A true CN117611072A (en) | 2024-02-27 |
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| CN202311373197.9A Pending CN117611072A (en) | 2023-10-23 | 2023-10-23 | Commercial tenant inlet air control auditing method and system |
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