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Abstract：
With the advent of the Internet of Everything (IoE), the concept of fully interconnected systems has become a reality, and the need for seamless communication and interoperability among different industrial systems has become more pressing than ever before. To address the challenges posed by massive data traffic, we demonstrate the potentials of semantic information processing in industrial manufacturing processes and then propose a brief framework of semantic processing and communication system for industrial network. In particular, the scheme is featured with task-orientation and collaborative processing. To illustrate its applicability, we provide examples of time series and images, as typical industrial data sources, for practical tasks, such as lifecycle estimation and surface defect detection. Simulation results show that semantic information processing achieves a more efficient way of information processing and exchanging, compared to conventional methods, which is crucial for handling the demands of future interconnected industrial networks.
摘要：
随着万物互联(IoE)的出现，完全互连系统的概念已经成为现实，不同工业系统之间的无缝通信和互操作性的需求比以往任何时候都更加紧迫。为了应对海量数据流量带来的挑战，我们展示了工业制造过程中语义信息处理的潜力，然后提出了一个简短的工业网络语义处理和通信系统框架。特别是,该方案具有任务导向和协作处理的特点。为了说明其适用性，我们提供了时间序列和图像的例子，作为典型的工业数据源，对于实际任务，如生命周期估计和表面缺陷检测。仿真结果表明,语义信息处理实现了一种更有效的信息处理和交换方式,与传统方法相比，这对于处理未来互联工业网络的需求至关重要。
