基于大数据分析的智能税务监管系统优化研究  

Research on optimization of intelligent tax supervision system based on big data analysis

作　　者：张斯维 乜慧彬 ZHANG Siwei;NIE Huibin(Unicom Xiongan Industrial Internet Co.,Ltd.,Shijiazhuang 050000,China)

机构地区：[1]联通雄安产业互联网有限公司,石家庄050000

出　　处：《计算机应用文摘》2025年第5期118-120,共3页

摘　　要：随着税务监管任务的日益复杂,提高税务系统的效率和智能化水平成为关键需求。通过大数据技术的应用,税务监管系统能够更好处理海量税务数据,提升风险预警能力和管理效率。为了优化基于大数据分析的智能税务监管系统,文章提出了一套高效的数据处理架构。通过实验验证,在处理增值税、企业所得税和个人所得税等税种时,优化后的系统的采集效率、监控延迟与异常识别率都得到了明显改善,显著增强了税务部门对异常行为的识别能力,为现代税务管理提供了有力的技术支持。With the increasing complexity of tax supervision tasks,improving the efficiency and intelligence level of tax system has become a key demand.Through the application of big data technology,the tax supervision system can better handle massive tax data,improve risk early warning ability and management efficiency.In order to optimize the intelligent tax supervision system based on big data analysis,this paper proposes a set of efficient data processing architecture.Through experimental verification,the collection efficiency,monitoring delay and abnormal recognition rate of the optimized system have been significantly improved when dealing with VAT,enterprise income tax,individual income tax and other taxes,significantly enhancing the ability of tax departments to identify abnormal behaviors,providing powerful technical support for modern tax administration.

关 键 词：大数据分析 智能税务监管 数据采集效率 实时监控 决策支持系统 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]