A Survey of Industrial Internet Platform: the Powerful Tool Combining Industrial Internet of Things with Machine Learning

Due to the increasing importance of the Industrial Internet of Things(IIoT) in modern society’s information infrastructure, a series of strategies have been proposed by a number of countries to promote the development and deployment of IIoT in various industrial applications. On the other hand, as powerful information technology, machine learning has empowered industries in the form of industrial software. Industrial Internet platforms, as a kind of industrial software, have received a lot of attention from both the academic and industrial communities. Many Industrial Internet platforms have been proposed with various features and functions targeted at different industrial sectors. In order to assist end-users to make a better decision in selecting their platforms, this paper reviews a number of typical industrial examples and white papers and provides a unified view of the technical architecture and functional classification of Industrial Internet platforms. Firstly, we clarify the definition and the technical architecture of the data-driven Industrial Internet platform. Secondly, we propose a series of models focusing on the functions of the Industrial Internet platform mentioned above. At the end of the paper, we discuss the technical difficulties that need to be overcome by the community.