摘要
工业互联网是新一轮工业革命的产物,加之雾计算手段的应用,致使边缘数据数量庞大,并且结构较为复杂,对此,提出基于改进随机森林算法的工业互联网边缘数据标准化采集方法研究。应用权重树集成策略改进随机森林算法,制定算法并行化计算策略,完成边缘数据的分类处理,设置通信方式为协作通信,计算节点最优通信距离,创建边缘数据采集路径,标准化处理采集的边缘数据。实验结果显示:应用提出方法获得的边缘数据分类效果更好,数据采集完整度数值更大,保证采集性能更佳。
Industrial Internet is the product of a new round of industrial revolution.In addition to the application of fog comput-ing means,the number of edge data is huge and the structure is more complex.Therefore,a research on the standardized collec-tion method of industrial Internet edge data based on improved Random forest algorithm is proposed.Apply the weight tree in-tegration strategy to improve the Random forest algorithm,formulate the algorithm parallel computing strategy,complete the classification processing of edge data,set the communication mode to cooperative communication,calculate the optimal com-munication distance of nodes,create the edge data collection path,and standardize the edge data collected.The experimental re-sults show that the edge data classification effect obtained by applying the proposed method is better,and the data collection in-tegrity value is larger,ensuring better collection performance.
作者
张继飞
ZHANG Jifei(Xiamen Ocean Vocational College,Xiamen 361000 China)
出处
《长江信息通信》
2023年第11期53-55,共3页
Changjiang Information & Communications
关键词
工业互联网
标准化
边缘数据
改进随机森林算法
数据采集
高维大数据
Industrial Internet
Standardization
Edge data
Improved random forest algorithm
Data acquisition
High dimen-sional big data
