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基于Spark的医疗设备运维信息挖掘分析研究
引用本文:饶季勇,李聪,钱雪忠.基于Spark的医疗设备运维信息挖掘分析研究[J].计算机与数字工程,2021,49(3):525-529.
作者姓名:饶季勇  李聪  钱雪忠
作者单位:江南大学物联网工程学院 无锡 214122;江南大学物联网工程学院 无锡 214122;江南大学物联网技术应用教育部工程研究中心 无锡 214122
基金项目:2018年国家级大学生创新创业训练计划项目
摘    要:在大数据时代,医疗设备复杂的运行状态环境中,实现准确的医疗设备运维预测,是实现智慧医疗的必要前提,为保证医疗设备的正常运行,此系统将使用Scala语言在Spark平台进行并行化实现,采用K-means聚类算法计算预测模型,提高算法处理大数据的能力。以数据采集、数据存储、数据分析为主,以Tomcat作为Web服务器框架进行系统可视化展现,打造一个大数据一体化系统平台,实现医疗设备运维信息的预测。

关 键 词:医疗设备运维  大数据  SPARK  聚类  K-MEANS

Research of Mining and Analysis for Preventive Maintenance of Medical Equipment Information Based on Spark
RAO Jiyong,LI Cong,QIAN Xuezhong.Research of Mining and Analysis for Preventive Maintenance of Medical Equipment Information Based on Spark[J].Computer and Digital Engineering,2021,49(3):525-529.
Authors:RAO Jiyong  LI Cong  QIAN Xuezhong
Affiliation:(School of Internet of Things(IOT)Engineering,Jiangnan University,Wuxi 214122;Engineering Research Center of Internet of Things Technology Applications Ministry of Education,Jiangnan University,Wuxi 214122)
Abstract:In the era of big data,complex medical equipment running state of the environment,accurate prediction of medical equipment operation and maintenance is the necessary precondition for realizing of intelligent medical object.In order to ensure the normal operation of medical equipment,the system will use Scala language to parallelize on Spark,and use K-means to calculate the prediction model,and improve the ability of the algorithm to deal with big data.To create an integrated system platform,which aims to realize the prevention maintenance for medical equipment information,based on data acquisition,data storage and data analysis,and Tomcat is set as Web server to visualize the system.
Keywords:medical equipment for prevention of accidents  big data  Spark  cluster  K-means
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