Abstract
Machine-to-machine (M2M) communication is a key enabling technology for industrial internet of things (IIoT)-empowered industrial networks, where machines communicate with one another for collaborative automation and intelligent optimisation. This new industrial computing paradigm features high-quality connectivity, ubiquitous messaging, and interoperable interactions between machines. However, manufacturing IIoT applications have specificities that distinguish them from many other internet of things (IoT) scenarios in machine communications. By highlighting the key requirements and the major technical gaps of M2M in industrial applications, this article describes a collaboration-oriented M2M (CoM2M) messaging mechanism focusing on flexible connectivity and discovery, ubiquitous messaging, and semantic interoperability that are well suited for the production line-scale interoperability of manufacturing applications. The designs toward machine collaboration and data interoperability at both the communication and semantic level are presented. Then, the application scenarios of the presented methods are illustrated with a proof-of-concept implementation in the PicknPack food packaging line. Eventually, the advantages and some potential issues are discussed based on the PicknPack practice.
Highlights
The industrial internet of things (IIoT) and smart manufacturing have become the most popular industrial technical paradigms and business concepts in recent years
With the continuous integration of emerging information and communication technologies (ICT), the manufacturing industry is envisaged to experience a revolution in its way of operating toward autonomous and smart manufacturing
This article highlights the major technical gaps of M2M communications in IIoT, and gives a reference architecture and a collaboration-oriented M2M (CoM2M) mechanism to enhance the interoperability between interconnected machines focusing on machine connectivity, messaging and understanding
Summary
The industrial internet of things (IIoT) and smart manufacturing have become the most popular industrial technical paradigms and business concepts in recent years. There are several newly coined terms to describe this futuristic industrial concept, such as Manufacturing 2.0, Industry 4.0, Industrial Internet, smart factory and IIoT They are proposed in a different context of applications, they share. Digital manufacturing is a highly interdisciplinary field involving a wide range of applied sciences Studies in these fields have attracted much effort in both academia and industry, especially machine-to-machine (M2M) connectivity and communication which are critical building blocks for machine collaboration and process optimisation [3]. This article highlights the major technical gaps of M2M communications in IIoT, and gives a reference architecture and a collaboration-oriented M2M (CoM2M) mechanism to enhance the interoperability between interconnected machines focusing on machine connectivity, messaging and understanding
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