CN113935844A - Financial wind control system based on big data and artificial intelligence - Google Patents
Financial wind control system based on big data and artificial intelligence Download PDFInfo
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- CN113935844A CN113935844A CN202111200178.7A CN202111200178A CN113935844A CN 113935844 A CN113935844 A CN 113935844A CN 202111200178 A CN202111200178 A CN 202111200178A CN 113935844 A CN113935844 A CN 113935844A
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- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 37
- 238000011156 evaluation Methods 0.000 claims abstract description 16
- 238000012544 monitoring process Methods 0.000 claims abstract description 14
- 230000014759 maintenance of location Effects 0.000 claims abstract description 4
- 238000012795 verification Methods 0.000 claims description 4
- RWSOTUBLDIXVET-UHFFFAOYSA-N Dihydrogen sulfide Chemical compound S RWSOTUBLDIXVET-UHFFFAOYSA-N 0.000 abstract 1
- 238000007726 management method Methods 0.000 description 9
- 238000000034 method Methods 0.000 description 4
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- 238000012986 modification Methods 0.000 description 1
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
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- G—PHYSICS
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
Abstract
The invention discloses a financial wind control system based on big data and artificial intelligence, belonging to the technical field of financial transaction, comprising a wind control platform and further comprising: the system comprises a business access module, a wind control decision layer module and a background wind control module, wherein the business access module is used for accessing a customer to transact financial affairs, the wind control decision layer module is used for auditing and approving financial orders, the background wind control module is used for later-stage storage period management and customer data retention, the business access module comprises an evaluation module, a risk level and an identity monitoring module for customers, and after the evaluation module is finished, an order generation module is generated and used for an order tracking module for later-stage order tracking and order query, and the system has the advantages that: by optimizing financial wind control and setting a business access module, a wind control decision layer module and a background wind control module, the authenticity of financial assets is accurately verified, and the risk of financial wind control is reduced.
Description
Technical Field
The invention relates to the technical field of financial transactions, in particular to a financial wind control system based on big data and artificial intelligence.
Background
The financial transaction refers to all transactions involving ownership change of financial assets of an institution unit, including generation and settlement of financial debt rights and liabilities, in the financial transaction, one institution unit can form or dispose of the financial assets on one hand, and offset the net acquisition of the financial assets in the future; on the other hand, debt can be generated and cleared out to counteract the occurrence of net liability later, electronic transaction refers to transaction performed through an electronic system, which is different from the transaction performed face to face in a trading hall of an exchange, and no part in electronic commerce is more attractive than electronic transaction, so-called electronic transaction refers to transaction performed on the internet, electronic transaction does not simply open up a new internet selling channel, which can reduce operating cost and help enterprises to establish closer cooperation with clients, suppliers and partners, electronic transaction enables the enterprises to establish customer loyalty while increasing income, cost is reduced by improving order processing efficiency, stock and warehouse expenses are reduced while full rate is maintained and actual cost of sales transaction is reduced, electronic transaction is a trend suitable for the development of the times, the loan obligation is that the borrower transfers the ownership of the money to the borrower, and the borrower returns the money with the same amount and attaches interest; in the financing lease transaction, a lessor does not give the lessee the ownership of money, but gives the lessee the ownership of money to suppliers, and the lessee pays the amount to form a simple structure which is complicated with the loan contract and the payment of the loan contract.
The existing risk control system has low financing efficiency on financers, and the asset authenticity verification is not accurate, so that funds are not easy to withdraw in the later period, and the electronic transaction also brings great potential safety hazards.
Therefore, a financial wind control system based on big data and artificial intelligence is provided.
Disclosure of Invention
The present invention has been made in view of the above and/or other problems with existing financial wind control systems based on big data and artificial intelligence.
Therefore, the invention aims to provide a financial wind control system based on big data and artificial intelligence, which can solve the problems that the financing efficiency of a financer is low, the asset authenticity is not verified accurately, the fund is not easy to be withdrawn in the later period and the electronic transaction brings great potential safety hazard by optimizing financial wind control, setting a business access module, a wind control decision layer module and a background wind control module and accurately verifying the identity of a client.
To solve the above technical problem, according to an aspect of the present invention, the present invention provides the following technical solutions:
a financial wind control system based on big data and artificial intelligence, comprising: the wind accuse platform still includes: the financial transaction system comprises a business access module, a wind control decision layer module and a background wind control module, wherein the business access module is used for accessing client finance for transaction, the wind control decision layer module is used for auditing and approving financial orders, and the background wind control module is used for later-period storage management and client data retention.
As a preferred scheme of the financial wind control system based on big data and artificial intelligence, the financial wind control system based on big data and artificial intelligence comprises the following steps: the service access module comprises an evaluation module, a risk level and an identity monitoring module for the client.
As a preferred scheme of the financial wind control system based on big data and artificial intelligence, the financial wind control system based on big data and artificial intelligence comprises the following steps: and after the evaluation module is finished, an order generation module is generated and is used for an order tracking module for tracking orders in the later period and order inquiry.
As a preferred scheme of the financial wind control system based on big data and artificial intelligence, the financial wind control system based on big data and artificial intelligence comprises the following steps: the risk level comprises a blacklist module used for inquiring the blacklist user, and the identity monitoring module comprises identity verification and face recognition.
As a preferred scheme of the financial wind control system based on big data and artificial intelligence, the financial wind control system based on big data and artificial intelligence comprises the following steps: the wind control decision layer module comprises an approval module, and a risk pricing, approval reexamination and early warning module is performed by a supervisor when the approval module is performed.
As a preferred scheme of the financial wind control system based on big data and artificial intelligence, the financial wind control system based on big data and artificial intelligence comprises the following steps: the approval module can perform manual approval and automatic approval.
As a preferred scheme of the financial wind control system based on big data and artificial intelligence, the financial wind control system based on big data and artificial intelligence comprises the following steps: the background wind control module comprises a storage period management module, and the storage period management module is used for intelligently managing the storage period.
As a preferred scheme of the financial wind control system based on big data and artificial intelligence, the financial wind control system based on big data and artificial intelligence comprises the following steps: the background wind control module comprises an alarm module for paying on time in a specified time limit of a client and a wind control rule module for setting rules for the wind control platform.
As a preferred scheme of the financial wind control system based on big data and artificial intelligence, the financial wind control system based on big data and artificial intelligence comprises the following steps: the background wind control module further comprises a data server for financial transactions.
As a preferred scheme of the financial wind control system based on big data and artificial intelligence, the financial wind control system based on big data and artificial intelligence comprises the following steps: the data server includes a customer database that facilitates viewing and customer data persistence for customer financial transactions.
Compared with the prior art:
by optimizing financial wind control, setting a business access module, a wind control decision layer module and a background wind control module, the identity of a client is accurately verified, the risk of financial wind control is reduced, and the risk of financial wind control is reduced.
Drawings
FIG. 1 is a schematic structural view of the present invention;
fig. 2 is a structural diagram of a service access module in the present invention;
FIG. 3 is a block diagram of a wind control decision layer module according to the present invention;
fig. 4 is a structural diagram of a background wind control module according to the present invention.
In the figure: the system comprises a wind control platform 1, a business access module 100, an evaluation module 110, a risk level 120, a blacklist module 121, an identity monitoring module 130, an identity verification 131, a face recognition 132, an order generation module 140, an order tracking module 141, an order query 142, a wind control decision layer module 200, an approval module 210, a manual approval 211, an automatic approval 212, a risk pricing 220, an approval review 230, an early warning module 240, a background wind control module 300, a survival period management module 310, an alarm module 320, a wind control rule module 330, a data server 340, a customer database 341 and a customer data persistence 342.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
The invention provides a financial wind control system based on big data and artificial intelligence, which has the advantages of optimizing financial wind control, setting a business access module, a wind control decision layer module and a background wind control module, accurately verifying customer identity, reducing the risk of financial wind control, and please refer to fig. 1-4, and the financial wind control system comprises a wind control platform 1;
further, the method also comprises the following steps: the financial transaction system comprises a business access module 100, a wind control decision layer module 200 and a background wind control module 300, wherein the business access module 100 is used for accessing a client to conduct financial transaction, the wind control decision layer module 200 is used for examining and approving financial orders, the background wind control module 300 is used for later-stage storage period management and client data retention, specifically, the business access module 100 receives user application financing information, evaluates reputation grades of the client information and surveys the age, address and industry of the client, the wind control decision layer module 200 has the function of leading a leader to examine and approve the order after the client financing generates the order and decides whether financing is passed or not, and the background wind control module 300 has the function of monitoring the financing condition of the client through a wind control rule module 330.
Further, the service access module 100 includes an evaluation module 110, a risk level 120 and an identity monitoring module 130 for the customer, specifically, the evaluation module 110 has an identity evaluation function before the customer financing, the customer is evaluated through the risk level 120 in the evaluation module 110, so that the financable amount can be conveniently evaluated for the customer, and the identity monitoring module 130 has a function of verifying and monitoring the customer information.
Further, after the evaluation module 110 is completed, an order generation module 140 is generated, which is used for an order tracking module 141 and an order query 142 for later order tracking, specifically, the order generation module 140 fills in identity information after the customer information is checked to generate an order, the order tracking module 141 is used for an action of online fund order progress inquiry, and the order query 142 has an action of querying information after the customer order is generated.
Further, the risk level 120 includes a blacklist module 121 for querying a blacklist user, the identity monitoring module 130 includes an identity check 131 and a face recognition 132, specifically, the blacklist module 121 has an effect of inputting information of a customer into an internal blacklist website to perform blacklist query, if customer information is queried on a blacklist, the reputation of the customer is assessed to be poor and financing is not passed, the identity check 131 queries identity card information of a customer law enforcement person, names of the customer law enforcement person are compared through the face recognition 132 and the business information to check real information of the customer, and it is determined that financing behavior represents real consciousness of the customer.
Further, the wind control decision layer module 200 includes an examination and approval module 210, a supervisor carries out risk pricing 220, examination and approval review 230 and an early warning module 240 when carrying out the examination and approval module 210, specifically, the examination and approval module 210 has an effect of examining and approving a generated client order, when a leader examines and approves, risk pricing 220 is carried out on information of a client and order conditions, if an objection exists, the leader can carry out examination and approval review 230 and discuss and approve again, and if a risk condition is found and exists in the examination and approval process, the early warning module 240 is remarked on an order network and the order is rejected.
Further, the examination and approval module 210 can perform manual examination and approval 211 and automatic examination and approval 212, specifically, under the condition of examining and approving the order, if the amount of the order is greater than the amount specified by the company, a leader needs to perform manual examination and approval 211 for signing, and if the amount of the order is less than the amount specified by the company, the automatic examination and approval 212 can be performed, so that the order efficiency and the loan-putting efficiency are accelerated.
Further, the background wind control module 300 includes a storage duration management module 310, the storage duration management module 310 is used for performing intelligent management on the storage duration, and specifically, the storage duration management module 310 is used for performing intelligent evaluation and early warning on the financing storage duration of the customer.
Further, the background wind control module 300 comprises an alarm module 320 for the client to pay for the financing on time in a specified period and a wind control rule module 330 for the wind control platform 1 to set rules, specifically, if the client does not return the financing for one day after the overdue period, the company sends a task after credit to the service manager through the alarm module 320 to process the overdue period of the client, and the fund transaction rule is assigned to the wind control platform 1 through the wind control rule module 330.
Further, the background wind control module 300 further includes a data server 340 for financial transactions, and specifically, the data server 340 has a function of storing customer information and customer financial transaction information.
Further, the data server 340 includes a customer database 341 for facilitating viewing and a customer data persistence 342 for customer financial transactions, specifically, the customer database 341 has a function of facilitating retrieving and viewing customer transaction information, and after the customer order is generated, the data persistence 342 is performed for the customer financial transaction information.
When the system is used specifically, the business access module 100 receives financing information applied by a user, then evaluates the credit rating of the information of a client, and investigates the wages, taxes, overdue and industries of the client, the wind control decision layer module 200 is used for leading the client to examine and approve an order after the client finances to generate the order and determine whether financing is passed or not, the background wind control module 300 is used for monitoring the financing condition of the client through the wind control rule module 330, performing identity evaluation before the client financing after the client is accessed, evaluating the client through the risk rating 120 in the evaluation module 110 to facilitate the evaluation of the financing amount of the client, then monitoring the client information through the identity monitoring module 130, inputting the information of the client into an internal blacklist to perform blacklist inquiry, and if the client information is inquired on the blacklist, the credit rating of the client is worse, inquiring identity card information of a client legal person without financing, comparing the name of the client legal person with the information of a business through face recognition 132, verifying the real information of the client, determining that financing behaviors represent the real consciousness of the client, examining and approving a generated client order after the order is generated, carrying out risk pricing 220 on the information of the client and the order condition when a leader examines and approvals, if an objection exists, carrying out examination and approval 230 and carrying out discussion and approval again, if a leak and a risk condition exist in the examination and approval process, carrying out online remark on the order, refuting the order, if the order is approved, and if the amount of the order is greater than the specified amount of a company, carrying out manual examination and approval 211 by the leader, if the amount of the order is less than the specified amount, carrying out automatic examination and approval 212 and approval, and accelerating the order efficiency, the loan putting efficiency is improved, when the financing of a client is about to expire, the background wind control module 300 reminds and warns a client contact person by sending a mobile phone short message, if the client loan does not return the fund after one day, a company sends a task after loan to a business manager through the alarm module 320, the expiration of the client is processed, the wind control rule module 330 designates a fund transaction rule to the wind control platform 1, the data server 340 stores client information, the client database 341 is used for conveniently calling and checking client transaction information, and after an order of the client is generated, the financial transaction information of the client is subjected to data storage 342.
While the invention has been described above with reference to an embodiment, various modifications may be made and equivalents may be substituted for elements thereof without departing from the scope of the invention. In particular, the various features of the disclosed embodiments of the invention may be used in any combination, provided that no structural conflict exists, and the combinations are not exhaustively described in this specification merely for the sake of brevity and resource conservation. Therefore, it is intended that the invention not be limited to the particular embodiments disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.
Claims (10)
1. The utility model provides a finance wind control system based on big data and artificial intelligence, includes wind control platform (1), its characterized in that still includes: the financial transaction system comprises a business access module (100), a wind control decision layer module (200) and a background wind control module (300), wherein the business access module (100) is used for accessing a client to conduct financial transaction, the wind control decision layer module (200) is used for auditing and approving financial orders, and the background wind control module (300) is used for later-stage storage period management and client data retention.
2. The financial wind control system based on big data and artificial intelligence according to claim 1, characterized in that the business access module (100) comprises an evaluation module (110), a risk level (120) and an identity monitoring module (130) for the customer.
3. The financial wind control system based on big data and artificial intelligence of claim 2, characterized in that, after the evaluation module (110) is completed, an order generation module (140) is generated, an order tracking module (141) and an order query (142) for post order tracking.
4. A financial pneumatic control system based on big data and artificial intelligence as claimed in claim 2, characterized in that the risk level (120) includes a blacklist module (121) for blacklist user query, and the identity monitoring module (130) includes identity verification (131), face recognition (132).
5. The financial wind control system based on big data and artificial intelligence of claim 1, characterized in that the wind control decision layer module (200) comprises an approval module (210), and a supervisor carries out risk pricing (220), approval reexamination (230) and early warning module (240) when carrying out the approval module (210).
6. The financial wind control system based on big data and artificial intelligence of claim 5, characterized in that the approval module (210) can perform manual approval (211) and automatic approval (212).
7. The financial pneumatic control system based on big data and artificial intelligence of claim 1, wherein the background pneumatic control module (300) comprises a duration management module (310), and the duration management module (310) is used for carrying out intelligent management on duration.
8. The financial wind control system based on big data and artificial intelligence according to claim 1, characterized in that the background wind control module (300) comprises an alarm module (320) for client's non-timely payment in a specified period and a wind control rule module (330) for making rules for the wind control platform (1).
9. The big data and artificial intelligence based financial wind control system according to claim 1, wherein the background wind control module (300) further comprises a data server (340) for financial transactions.
10. A big data and artificial intelligence based financial wind control system according to claim 9, wherein the data server (340) includes a customer database (341) that facilitates viewing and a customer data repository (342) for customer financial transactions.
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| CN114817681A (en) * | 2022-04-28 | 2022-07-29 | 北京辰行科技有限公司 | Financial wind control system based on big data analysis and management equipment thereof |
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