CN111782697A - Scene wind control method - Google Patents
Scene wind control method Download PDFInfo
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- CN111782697A CN111782697A CN202010631264.2A CN202010631264A CN111782697A CN 111782697 A CN111782697 A CN 111782697A CN 202010631264 A CN202010631264 A CN 202010631264A CN 111782697 A CN111782697 A CN 111782697A
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- rule
- product model
- trial calculation
- wind control
- control method
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- 238000000034 method Methods 0.000 title claims abstract description 13
- 230000014509 gene expression Effects 0.000 claims description 18
- 230000003631 expected effect Effects 0.000 claims description 6
- 230000000694 effects Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
- G06F16/24564—Applying rules; Deductive queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0609—Buyer or seller confidence or verification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/03—Credit; Loans; Processing thereof
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Computational Linguistics (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Stored Programmes (AREA)
Abstract
The invention provides a scene wind control method, which comprises the following steps: s1: firstly, collecting customer information, transaction characteristic information and scene information in real time, and then establishing a product model according to the collected information; s2: configuring corresponding fields in the product model in S1, and then importing variables in a variable library of the product model. The invention does not rely on code development any more, can realize complex logic in the whole industry by zero codes, and has good expansibility and calculation engine processing capacity.
Description
Technical Field
The invention relates to the technical field of scene wind control, in particular to a scene wind control method.
Background
The scene financial service development can not leave the scene wind control, and the corresponding scene wind control system is very important. The scene wind control system is suitable for various scenes, and different rule models are configured according to different scenes. Since rule models are different from products such as databases, the rule models will certainly be different in implementation according to the characteristics of specific business rules. Therefore, the scene wind control system needs to be independent of the service and closely combined with the actual service so as to meet the service requirement. Therefore, the importance of the rule engine in the scene wind control system has no substitution.
The main rule engines in the market are: ilog JRules, Drools, Jess, Visual Rules; all four use the forward-charging Rete engine.
The rule engines are generally universal, so that the rule engines are necessarily optimized when applied to wind control, and therefore a scene wind control method suitable for wind control is provided.
Disclosure of Invention
Based on the problems in the prior art, the scene wind control method provided by the invention.
In order to achieve the purpose, the invention adopts the following technical scheme:
the scene wind control method comprises the following steps:
s1: firstly, collecting customer information, transaction characteristic information and scene information in real time, and then establishing a product model according to the collected information;
s2: configuring corresponding fields in the product model in S1, and then importing variables in a variable library of the product model;
s3: establishing a related trial calculation rule in the product model after the variables are introduced according to the requirements, wherein the trial calculation rule comprises a decision management rule, a rating card management rule, an amount management rule and a custom rule;
s4: establishing a configured execution flow in the product model after the trial calculation rule is established;
s5: and (5) performing trial calculation in the product model in the S4, and if the expected effect is not achieved, repeating the steps S3-S5, and if the expected effect is achieved, associating the product with the product model, and then issuing the product model.
Preferably, in S3, the trial calculation rule supports normal operations and special function operations, the normal operations include a maximum operation, a minimum operation, a summation operation, an average operation and a traversal operation, the special function operation is true outside the current time, and a decimal (rounded/not rounded) is reserved.
Preferably, in S3, the trial calculation rule is an ordered character string, and the calculation processing sequence is from left to right, and is composed of one or more specific rule segments, where the rule segments are composed of: the separator 1+ [ conditional expression ] + the separator 2+ [ processing expression ], where "conditional expression" and "processing expression" may be unconditional expressions, but processing expressions are necessary.
Preferably, in S5, the rules in the product model after release are validated.
Compared with the prior art, the invention does not rely on code development any more, can realize complex logic in the whole industry by zero code, and has good expansibility and calculation engine processing capacity.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments.
The embodiment provides a scene wind control method, which comprises the following steps:
s1: firstly, collecting customer information, transaction characteristic information and scene information in real time, and then establishing a product model according to the collected information;
s2: configuring corresponding fields in the product model in S1, and then importing variables in a variable library of the product model;
s3: the method comprises the following steps of establishing a related trial calculation rule in a product model after variables are introduced according to requirements, wherein the trial calculation rule comprises a decision management rule, a rating card management rule, an amount management rule and a custom rule, the trial calculation rule supports common operation and special function operation, the common operation comprises maximum value operation, minimum value operation, summation operation, average value operation and traversal operation, the special function operation is true outside the current time, decimal numbers (rounding/not rounding) are reserved, the trial calculation rule is an ordered character string, the calculation processing sequence of the trial calculation rule is from left to right, the trial calculation rule consists of one or more specific rule sections, and the rule sections are formed: the separator 1+ [ conditional expression ] + separator 2+ [ processing expression ], where "conditional expression" and "processing expression" may be unconditional expressions, but processing expressions are necessary, and the normal operation is composed of elementary symbols in the following table:
s4: establishing a configured execution flow in the product model after the trial calculation rule is established;
s5: and (5) performing trial calculation in the product model in the S4, if the expected effect is not achieved, repeating the steps S3-S5, if the expected effect is achieved, associating the product with the product model, then issuing the product model, and enabling the rules in the issued product model to take effect.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (4)
1. The scene wind control method is characterized by comprising the following steps:
s1: firstly, collecting customer information, transaction characteristic information and scene information in real time, and then establishing a product model according to the collected information;
s2: configuring corresponding fields in the product model in S1, and then importing variables in a variable library of the product model;
s3: establishing a related trial calculation rule in the product model after the variables are introduced according to the requirements, wherein the trial calculation rule comprises a decision management rule, a rating card management rule, an amount management rule and a custom rule;
s4: establishing a configured execution flow in the product model after the trial calculation rule is established;
s5: and (5) performing trial calculation in the product model in the S4, and if the expected effect is not achieved, repeating the steps S3-S5, and if the expected effect is achieved, associating the product with the product model, and then issuing the product model.
2. The scene wind control method according to claim 1, wherein in S3, the trial calculation rule supports a normal operation and a special function operation, the normal operation includes a maximum operation, a minimum operation, a summation operation, an average operation and a traversal operation, the special function operation is true outside the current time, and a decimal (rounded/not rounded) is reserved.
3. The scene wind control method according to claim 1, wherein in S3, the trial calculation rule is an ordered character string, the calculation processing sequence is from left to right, and the trial calculation rule is composed of one or more specific rule segments, and the rule segments are composed of: the separator 1+ [ conditional expression ] + the separator 2+ [ processing expression ], where "conditional expression" and "processing expression" may be unconditional expressions, but processing expressions are necessary.
4. The scenario wind control method of claim 1, wherein in S5, a rule in the product model after release is validated.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010631264.2A CN111782697A (en) | 2020-07-03 | 2020-07-03 | Scene wind control method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010631264.2A CN111782697A (en) | 2020-07-03 | 2020-07-03 | Scene wind control method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111782697A true CN111782697A (en) | 2020-10-16 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010631264.2A Pending CN111782697A (en) | 2020-07-03 | 2020-07-03 | Scene wind control method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111782697A (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107330641A (en) * | 2017-08-18 | 2017-11-07 | 广发证券股份有限公司 | A kind of real-time risk control system of financial derivatives based on Storm stream process framework and regulation engine and method |
| CN110837963A (en) * | 2019-11-06 | 2020-02-25 | 浪潮卓数大数据产业发展有限公司 | Risk control platform construction method based on data, model and strategy |
| CN111260080A (en) * | 2020-01-20 | 2020-06-09 | 深圳壹账通智能科技有限公司 | Process optimization method, device, terminal and storage medium based on machine learning |
-
2020
- 2020-07-03 CN CN202010631264.2A patent/CN111782697A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107330641A (en) * | 2017-08-18 | 2017-11-07 | 广发证券股份有限公司 | A kind of real-time risk control system of financial derivatives based on Storm stream process framework and regulation engine and method |
| CN110837963A (en) * | 2019-11-06 | 2020-02-25 | 浪潮卓数大数据产业发展有限公司 | Risk control platform construction method based on data, model and strategy |
| CN111260080A (en) * | 2020-01-20 | 2020-06-09 | 深圳壹账通智能科技有限公司 | Process optimization method, device, terminal and storage medium based on machine learning |
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