摘要
为了提高实验室无纸化资源调度能力,需要对实验室无纸化资源进行优化整合,提出一种基于云存储的实验室无纸化资源多层次整合系统设计模型,设计实验室无纸化资源整合算法,构建实验室无纸化资源的云存储结构模型,结合云存储的大数据融合调度算法进行实验室无纸化资源的属性整合的特征提取,采用统计数据分析方法,构建实验室无纸化资源多层次调度模型,采用主成分分析方法进行实验室无纸化资源的自相关特征匹配,构建实验室无纸化资源整合的多层空间分布结构,在重组的多层空间中实现资源优化整合.仿真结果表明,采用该方法进行实验室无纸化资源多层次整合的融合度较高,资源数据分类存储能力得到提升.
A multi-level integration system model of laboratory paperless resources based on cloud storage is proposed to improve the scheduling ability of laboratory paperless resources. A laboratory paperless resource integration algorithm was designed,a cloud storage structure model of laboratory paperless resource was constructed,and a big data fusion scheduling algorithm of cloud storage was designed to extract the characteristics of attribute integration of laboratory paperless resource. Based on the statistical data analysis method,a multi-level scheduling model of paperless resources in laboratory was constructed,and the principal component analysis method was used to match the autocorrelation characteristics of paperless resources in the laboratory. The multi-layer spatial distribution structure of paperless resource integration in laboratory was constructed,and the optimal integration of resources was realized in the reorganized multi-layer space. The simulation results show that the fusion degree of multi-level integration of paperless resources in laboratories is high,and the classification and storage ability of resource data is improved.
作者
张彦
ZHANG Yan(Dean's Office,Anhui University of Finance Economics,Bengbu 233030,China)
出处
《内蒙古民族大学学报（自然科学版）》
2019年第5期384-389,共6页
Journal of Inner Mongolia Minzu University：Natural Sciences
基金
国家自然科学基金项目(41874061)
安徽财经大学2019年教育事业发展研究项目(2019YB029)
关键词
云存储
实验室
无纸化资源
多层次整合
Cloud storage
Laboratory
Paperless resources
Multi-level integration
