摘要
智慧教学平台快速兴起,其大数据存储和人机交互能力,显得尤为重要。针对目前智慧教学平台难以高效处理和管理海量数据的问题,研究提出了一种基于Hadoop的智慧教育平台数据云存储系统。并基于痕迹检验知识数据,设计了问答系统。将云存储系统与其他系统进行性能对比分析,结果发现,该系统平均上传速度和下载速度分别为27.68 MB/s和26.18 MB/s,均优于对比系统。随后,将问答系统进行性能对比分析,结果发现,该系统的精准率为97.28%,均优于对比问答系统。最后,将问答系统进行应用效果分析,结果发现其能准确回答相关问题。以上结果表明,研究提出的数据云存储系统和问答系统,能为智慧教学平台的数据存储和人机交互功能设计提供理论基础。
The intelligent teaching platform has emerged rapidly,and its big data storage and human-computer interaction capabilities have become particularly important.Aiming at the problem that the current intelligent teaching platform is difficult to efficiently process and manage massive data,a data cloud storage system for the intelligent education platform based on Hadoop is studied and proposed.And based on the knowledge data of trace examination,a question-answering system was designed.The performance of the cloud storage system was compared and analyzed with other systems.The results showed that the average upload speed and download speed of this system were 27.68MB/s and 26.18MB/s respectively,both of which were superior to the comparison systems.Subsequently,a performance comparison analysis of the question-answering system was conducted.The results revealed that the accuracy rate of this system was 97.28%,both of which were superior to the comparison question-answering systems.Finally,the application effect of the question-answering system was analyzed,and it was found that it could accurately answer the relevant questions.The above results indicate that the data cloud storage system and question-answering system proposed in the research can provide a theoretical basis for the design of data storage and human-computer interaction functions of the intelligent teaching platform.
作者
柳菁莹
曹枝霞
LIU Jingying;CAO Zhixia(Shaanxi Police College,Xi’an 710021,China;Henan Broadcasting System,ZhengZhou 100176,China)
出处
《自动化与仪器仪表》
2025年第11期187-191,共5页
Automation & Instrumentation
基金
省级课题《陕西方言词汇的差异与刑事案件侦查中的地域性言语识别》(20IK0064)。
关键词
智慧教学平台
大数据存储
问答系统
HADOOP
人机交互
intelligent teaching platform
big data storage
question answering system
human-computer interaction