摘要
当前的信息处理分析系统在处理数据时缺乏实时性,导致系统平均响应时间较长。对此,设计基于大数据技术的DRGs绩效评价信息处理分析系统。根据绩效评价信息处理要求,建立包含三层结构软件层次总体架构;采用改进烟花算法建立信息集成模型,汇总DRGs绩效评价信息;采用离散化数据流对汇总的信息进行实时、快速聚类分析;最后结合内存存储模式和同步复制技术,实现信息的分布式存储。实验结果表明:所提系统在不同数据量条件下的系统操作指令平均响应时间始终保持在4 s,说明所提系统的实时性较好。
The current system lacks real-time performance when processing data,resulting in a long average response time of the system.The DRGs performance evaluation information processing and analysis system based on big data technology is designed.Accord-ing to the requirements of performance evaluation information processing,it establishes the overall software hierarchy structure including three layers.The improved fireworks algorithm is used to establish an information integration model and summarize DRGs performance evaluation information.The discrete data stream is used for real-time and fast clustering analysis of the sum-marized information.Finally,the memory storage mode and synchronous replication technology are combined to realize the dis-tributed storage of information.The experimental results show that the average response time of the system operation instructions under different data volumes is 4 s,indicating that the proposed system has good real-time performance.
作者
陈立真
CHEN Li-zhen(Women and Infants Hospital of Zhengzhou,Zhengzhou 450000 China)
出处
《自动化技术与应用》
2025年第2期80-84,共5页
Techniques of Automation and Applications
基金
河南省医学科技攻关计划项目(LHG20200742)。
关键词
大数据技术
绩效评价系统
信息集成
流处理
信息存储
big data technology
performance evaluation system
information integration
stream processing
information storage
