Industrial Internet of Things: An Analysis of Emergence, Component and Challenges

Abstract

Industry 4.0 brought a solution to disrupted industrial manufacturing powered by AI, machine learning, IoT, Cloud Computing, and Wireless Technologies. The factories turn into smart industrial units where the processes are automated, self-reliant, continuously monitored, and scaled as per the observed conditions. The Industrial Internet of Things (IIoT) solves the issues by real- time decision making or even alarming the hazardous situations say breaking down of systems or processes based on predictive analytics. From the raw material to the customer satisfaction the whole production line turns intelligent making the production fast, quality-based, well maintained, monitored, and innovative. The 3D printing, simulation, and augmented reality encourage innovations, designing & testing of customized products in the virtual environment. Big data analytics and accurate prediction not only foster manufacturing quality & quantity but also attracts high-valued staff with increased efficiency. Getting trustworthy data in real-time and eliminating life hazards in monitoring the typical processes are the key attractions of Industry 4.0 for instance, IoT with different kinds of sensors replace human monitoring and even performs well where the humans cannot go like the radioactive, humidity pressure. The product is tested well, safer to use, and promoted to the areas predicted by the advanced computing algorithms in data analytics. However, emerging technology can pose challenges for employers in a country where unemployment exists. So technological advancements, training, and skill developments are urgent areas to look after. This paper presented literature survey focuses on the major components, characteristics and associated challenges of Industrial IoT.