The value chain of Industrial IoT and its reference framework for digitalization

TL;DR

This paper discusses the industrial IoT value chain and proposes a reference framework for digitalization, emphasizing its role in transforming manufacturing processes across all phases through integrated ICT and OT technologies.

Contribution

It introduces a comprehensive reference framework for the IIoT value chain, highlighting its application in digital transformation of manufacturing industries.

Findings

IIoT enhances data acquisition and analysis from connected devices and CPS.

The framework supports flexible resource reorganization and distributed decision-making.

IIoT integrates ICT and OT technologies for industrial digitalization.

Abstract

Nowadays, we are rapidly moving beyond bespoke detailed solutions tailored for very specific problems, and we already build upon reusable and more general purpose infrastructures and tools, referring to them as IoT, Industrial IoT/Industry 4.0[1-3], etc. These are what will be discussed in this paper. When Industrial IoT (IIoT) is concerned about, the enormous innovation potential of IoT technologies are not only in the production of physical devices, but also in all activities performed by manufacturing industries, both in the pre-production (ideation, design, prototyping) and in the post-production (sales, training, maintenance, recycling) phases . It is also known that IIoT acquire and analyze data from connected devices, Cyber-Physical Systems (CPS), locations and people (e.g. operator); along with its contemporary new terms, such as 5G, Edge computing, and other ICT technologies with their applications[4] . More or less it is drawn upon on its combination with relative monitoring devices and actuators from operational technology (OT). IIoT helps regulate and monitor industrial systems [2], and it integrates/re-organize production resources flexibly, enhanced OT capability in the smart value chains enabling distributed decision-making of production.