Industrial Intelligence of Things (IIoT 2.0) based Automated Smart Factory Management System using Blockchain

Abstract

The Industrial Internet of Things (IIoT) focuses on connecting devices to gather real-time data and manually analyze it to make decisions. The IIoT devices could be equipped with some intelligence that empowers them to automatically create an informed choice and act with the ability for self-correction. This paper presents an innovative and secure approach to using industrial intelligence of things (IIoT 2.0) devices for designing an automated smart factory management system. Firstly, a blockchain-based secure order placement technique is proposed in a smart factory management system to store the production record permanently and avoid third-party interaction. This paper also introduces cooperative autonomous product tracking and maintenance systems using automated guided vehicles (AGVs) and unmanned aerial vehicles (UAVs) to minimize human interaction inside a smart factory. Moreover, a deep learning model-based automated anomaly detection and prevention approach is demonstrated to take proactive action by the UAV and AGV inside a smart factory. Finally, to address the security issue among IIoT 2.0 devices, a secure data transfer approach based on public-key infrastructure (PKI) is utilized. Result analysis of the proposed system shows that the blockchain network can form the blocks very rapidly using the private blockchain network. Furthermore, PKI implementation confirms that the proposed smart factory management system's IIoT 2.0 devices can swiftly transfer secure data and instructions from one device to another.