Business processing method, system and related equipment based on visualization rule engine

Abstract

The invention relates to the application field of data mining, in particular to a service processing method based on a visualization rule engine, a system and related equipment, aiming at realizing flexible expansion and updating of the rule engine. The service processing method based on a visualization rule engine comprises the following steps: receiving a visualization editing operation instruction through a rule setting interface; generating business rules according to editing operation instructions; storing business rules and corresponding business rule identifiers in a business rule set component, thereby generating a business rule component; according to the business rule component, the variable value being obtained through the data object component, and the variable value being inputted into the rule engine for matching operation, so as to determine the matching rule conditions; according to the matching rule condition, the corresponding function component being called to execute the corresponding action. The invention realizes the visual management and issuance of the rule engine, and can be flexibly expanded and updated, so that the business personnel can operate without knowing the program.

Description

technical field [0001] The invention relates to the field of data mining applications, in particular to a business processing method, system and related equipment based on a visual rule engine. Background technique [0002] In the risk control of the financial industry, business rules are becoming more and more complex and flexible, especially in the banking and insurance industries, the traditional business rule development method of embedding rules into programs can no longer meet the requirements of easy-maintenance and high-efficiency systems . At this time, a generative expert system came into being, which effectively improved the operating efficiency of the system, realized the automation of the management process and adapted to the changing and complex business needs. [0003] In commercial applications of the prior art, generative expert systems are widely used to separate business rules and procedures. Drools rule engine is the intelligent module of JBoss business...

AI Technical Summary

Problems solved by technology

[0004] (1) The existing rule engine Drools does not realize the separation of business and system programs in a real sense. To realize the change of business rules, business personnel still need to propose business change logic, and then the system developers change the configuration files. Business personnel cannot independently create Rule model to realize data processing;

[0005] (2) The scalability of the existing Drools rule engine is not strong, and each business logic needs to be implemented by writing new rules, resulting in a large number of rule categories and a bloated system

[0006] Especially in the financial industry with high real-time requirements, the above two defects lead to insufficient timely adjustment of rules in the financial risk control system. sexual demands

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