A Hybrid IIoT-based System for Real-time Monitoring and Control of Industrial Processes

Abstract

The IIoT is a rapidly developing field that is changing the way factories operate by enabling real-time monitoring, control, and optimization of processes. In order to collect and analyse massive amounts of data in real time, IIoT-based systems use sensors, networking, and data analytics. This allows for more effective and reliable operations and crucial insights into the system's inner workings. The industrial, logistics, energy, and utility sectors are just a few examples of the many potential applications for systems built on the Industrial Internet of Things. Concerns over data privacy and security, interoperability between different systems and devices, and the need for skilled people to develop and operate successful IIoT-based systems are among the challenges that have followed the expansion of systems that are based on the IIoT. The goal of this paper is to provide a literature analysis that investigates the potential uses, limitations, suggested methodology, challenges, recent developments, and potential future expansion of systems based on the Industrial Internet of Things (IIoT). This study demonstrates how IIoT-based systems may improve operational effectiveness, reliability, and environmental friendliness in manufacturing. The report also highlights the need of thoroughly assessing the needs and requirements of organizations in order to construct and implement effective IIoT-based solutions. Interoperability, cyber security, sustainability, human-machine interaction, predictive maintenance, autonomous systems, and new business models are all highlighted in the evaluation as potential areas of expansion and development for IIoT-based systems. The next paragraphs go into further depth on these themes. Systems based on the IIoT have the potential to transform manufacturing in many different industries. If they take the right strategy, businesses and organizations may use these advantages to boost operational efficiency and competitiveness.