Abstract
Intelligent information technology is a notable feature in the context of industry 4.0. A key factor in obtaining intelligent industrial Internet of things (IIoT) services is to integrate machine learning (ML) into IIoT. With the increasing scale of deployed terminals, IIoT becomes heterogeneous, diverse, and dynamically changeable. Traditional optimization methods are difficult to deal with the emerging network problems. This paper first proposes a ML-based IIoT architecture for intelligent IIoT services and expounds two ML methods for IIoT analysis, namely, deep learning (DL) and reinforcement learning (RL). Secondly, advanced applications and development trends of ML in industrial field are summarized. Opportunities and challenges of ML for IIoT analysis are discussed finally. The purpose of this paper is to point out the role of artificial intelligence (AI) technology in IIoT from the macroscopic view.
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