摘要
为了提高医院后勤库存物资智能化管理能力,提出一种基于大数据分析的后勤库存物资智能化管理系统设计方法,构建医院后勤库存物资的大数据信息采集模型,采用无线射频识别技术进行后勤库存物资信息采样,对采样的医院后勤库存物资大数据进行自适应分块处理,采用关联特征挖掘方法进行医院后勤物资大数据挖掘和优化调度。在ARM和无线组网环境下进行后勤库存物资智能化管理系统设计,系统的主要功能模块包括数据库模块、程序加载模块、信息调度模块和人机交互模块。采用PCI总线技术进行后勤库存物资智能化管理系统的集成开发。系统测试结果表明,设计的后勤库存物资智能化管理系统具有很好的大数据挖掘和分类识别能力,信息管理的智能性较好。
In order to improve the intelligent management ability of hospital logistics inventory, a design method of logistics inventory intelligent management system based on big data analysis is proposed, and the big data information collection model of hospital logistics inventory is constructed. Radio frequency identification( RFID ) technology is used to sample the information of logistics inventory, the big data of hospital logistics inventory is processed by adaptive block processing, and the method of associated feature mining is used to mine and optimize the big data of hospital logistics materials. The intelligent logistics inventory management system is designed under the environment of ARM and wireless network. The main function modules of the system include database module, program loading module, information scheduling module and man-machine interaction module. The integrated development of logistics inventory intelligent management system based on PCI bus technology is presented. The system test results show that the intelligent management system of logistics inventory has good ability of big data mining and classification recognition, and the intelligence of information management is better.
作者
牟杨
MOU Yang(Eastern Hospital of Shanghai No.6 People's Hospital, Shanghai 201306, China)
出处
《自动化与仪器仪表》
2019年第4期233-236,共4页
Automation & Instrumentation
关键词
大数据
医院
后勤库存物资
智能化管理系统
big data
Hospital
Logistics inventory
Intelligent Management system
