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语义信息处理用于工业物联网中的互操作性
Shengshi Yao1, Yanpeng Lu1, Kai Niu2
1Key Laboratory of Universal Wireless Communications, Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China.
Fundamental research
|June 27, 2024
概括
语义信息处理通过使缺陷检测等任务有效交换数据来增强工业网络. 这种方法对于互联的工业系统的未来至关重要.
科学领域:
- 工业制造业 工业制造业 工业制造业
- 网络通信 网络通信
- 数据处理数据处理数据处理
背景情况:
- 万物互联网 (IoE) 需要工业系统的无互操作性.
- 大规模的数据流量给当前的工业网络带来了重大挑战.
研究的目的:
- 展示语义信息处理在工业制造中的潜力.
- 为工业网络量身定制的语义处理和通信系统提出框架.
主要方法:
- 开发一个以任务为导向和协作语义处理框架.
- 将框架应用于工业数据源,如时间序列和图像.
- 进行生命周期估计和表面缺陷检测的模拟.
主要成果:
- 语义信息处理为数据处理和交换提供了更有效的方法.
- 与传统技术相比,拟议的系统证明了信息处理的改进.
- 对于实际的工业任务,如缺陷检测,有效性已被证明.
结论:
- 语义信息处理对于管理未来互联工业网络的需求至关重要.
- 拟议的框架为工业数据挑战提供了有效的解决方案.
- 这种方法促进了工业环境中的无通信和互操作性.
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