首页|期刊导航|计算机应用研究|规则引擎的方法与技术进展综述

规则引擎的方法与技术进展综述OA

Review of methodological and technical advances in rule engines

中文摘要英文摘要

规则引擎作为实现自动化决策和推理的重要技术,近年来在核心方法与技术进展方面取得了显著突破,并已广泛应用于网络安全、物联网、金融风控、智能制造等多个领域.但目前仍缺乏从规则引擎的优化和改进方面进行全面综述的工作.以网络安全为典型应用场景,系统综述规则引擎的方法与技术进展,同时结合其他领域的典型案例,分析其跨领域适用性与优化策略.首先介绍了规则引擎的基本概念和架构,包括规则库、工作内存和推理引擎等关键组成部分;接着详细讨论了规则引擎在性能提升、规则文件优化、功能增强等方面的研究进展,重点分析了规则匹配过程的改进和与智能技术协同优化;最后展望了规则引擎未来的发展趋势,为规则引擎在多领域的应用提供了重要参考,并为未来的技术创新指明了方向.

As an important technology for realizing automated decision-making and reasoning,rule engines have made signifi-cant breakthroughs in core methodological and technological advances in recent years,and have been widely used in network security,Internet of Things,financial risk control,intelligent manufacturing and other fields.Yet a comprehensive review on the optimization and improvement of rule engines remains absent.Taking network security as a typical application scenario,this paper systematically reviewed the methods and technical progress of rule engines,and analyzed its cross-domain applicabi-lity and optimization strategies based on typical cases in other fields.Firstly,it introduced the basic concept and architecture of a rule engine,including key components such as rule base,working memory and inference engine.Then it discussed the re-search progress of the rule engine in terms of performance improvement,rule file optimization,and functional enhancement in detail,focusing on the analysis of the improvement of the rule matching process and the synergistic optimization with intelligent technology.Finally,this paper outlined the future development trends of rule engines,providing important reference for their application across multiple domains and pointing the way for future technological innovation.

朱家声;芮小平;汤恒;毕一鸣

河海大学地球科学与工程学院,南京 211100河海大学地球科学与工程学院,南京 211100河海大学地球科学与工程学院,南京 211100河海大学地球科学与工程学院,南京 211100

信息技术与安全科学

规则引擎推理方法人工智能网络安全规则匹配规则优化物联网

rule engineinference methodsartificial intelligencenetwork securityrule matchingrule optimizationInternet of Things

《计算机应用研究》 2026 (2)

321-331,11

国家自然科学基金资助项目(42376180)

10.19734/j.issn.1001-3695.2025.07.0231

评论