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Semantic information processing for interoperability in the Industrial Internet of Things

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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.

Semantic communicationIntelligent manufacturingSignal processingIndustrial InternetTask-oriented communication

Shengshi Yao、Yanpeng Lu、Kai Niu、Jincheng Dai、Chao Dong、Ping Zhang

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Key Laboratory of Universal Wireless Communications,Ministry of Education,Beijing University of Posts and Telecommunications,Beijing 100876,China

The State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications,Beijing 100876,China

国家自然科学基金国家自然科学基金国家自然科学基金

920672029226730162071058

2024

自然科学基础研究(英文)

自然科学基础研究(英文)

CSTPCD
ISSN:
年,卷(期):2024.(1)
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