随着物联网、云计算和大数据等技术的发展，人类正迈入第四次工业革命时代。工业互联网作为生产过程中联网对象、外部环境以及生产人员之间高度协同和共享智能的全球性网络，是实现这场革命的核心。然而目前对工业互联网的研究大多局限在物联网、云计算和大数据等各自辖域，尚处于“感、联、知”的初级阶段，缺乏契合网络化智能生产特点的工业互联网体系结构及关键技术，无法应对其中感知对象更加复杂、联网实体更加多元、数据处理更加快速等需求。为此，本项目针对网络化智能生产的特点，以生产实体智能化为核心、网络互联为支撑、端到端数据流为基础，对工业互联网体系结构及关键技术展开研究并进行突破创新，显著提升其“智感”、“效联”、“迅知”三大能力，使得整个工业大数据的获取、传输和应用过程更加高效，为构建传感相合、联通相称、传算相谐的工业互联网提供理论依据和技术支撑，对实现我国工业数字化、网络化、智能化发展具有重要意义。

The fourth industrial revolution has been unveiled with the rapid development of Internet of Things (IoT), Cloud Computing and Big Data. Industrial Internet, as a highly cooperative and intelligence-sharing global network that connects objects, environment and humans in smart production, is the core of this revolution. However, most of current research works in Industrial Internet are restricted to IoT, Cloud Computing or Big Data, respectively. Industrial Internet, at its very primary stage of sensing, connection and knowledge, still lacks a typical architecture and key technologies that could meet the evolving requirements of networked smart production: more complex objects to be sensed, more diversification of entities to be connected and more production data to be processed. This project considers the characteristics of smart industry and demonstrates that smart production, as the core of smart industry, should be supported by Industrial Internet with its solid network connection and end-to-end data flow provided. This project thus proposes a breakthrough innovation in the architecture and key technologies of Industrial Internet for boosting its performance of smart sensing, effective connection and fast knowledge. Consequently, the complete period of industrial big data collection, transmission and application becomes more effective and smooth. As supported by theoretic and technical results gained from this project, Industrial Internet thus can be implemented with an effective combination of sensing, transmission, connection and computation. Research outcomes from this project will also promote the fuse of Internet and industry and boost the development of networked smart industry.