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The Role of AI in IoT Systems: A Semi-Systematic Literature Review

Updated: May 13


Two factory workers with tablets, wearing yellow hard hats and shirts, with visible wifi signals.
Modern factory floor with two workers in yellow interacting with monitors and tablets. Blue Wi-Fi symbols represent IoT connectivity

The Internet of Things (IoT) has brought a revolution in many industries & industrial automation is no exception. The integration of IoT technology in industrial processes has resulted in increased efficiency, enhanced safety, & improved decision-making abilities. IoT-powered industrial automation has the potential to transform traditional manufacturing & production processes, making them more agile, cost-effective, & sustainable. From predictive maintenance to process optimization & energy efficiency, IoT has a far-reaching impact on various aspects of industrial automation.


Real-life applications of IoT in manufacturing

IoT has transformed the manufacturing industry in numerous ways, providing real-life benefits to manufacturers. One of the most impactful ones is predictive maintenance, which allows manufacturers to monitor their machines & equipment in real time, predict when they are likely to fail, & take proactive steps to avoid downtime. IoT is also improving supply chain management by providing real-time visibility into inventory levels, delivery times, & other supply chain metrics. IoT is enabling manufacturers to optimize their production processes, resulting in increased efficiency, reduced waste, & improved product quality. Other applications of IoT include energy efficiency, improved worker safety, & streamlined logistics. These real-life applications of IoT in manufacturing highlight the tremendous potential of IoT to transform the way we work & drive business success.


IoT & Industry 4.0

IoT is a key technology enabling Industry 4.0 which is characterized by the integration of advanced technologies such as IoT & others resulting in smart & highly automated industries. IoT enables Industry 4.0 by connecting machines & devices, allowing for real-time monitoring, analysis, & control thus enabling manufacturers to make data-driven decisions, improve efficiency, & enhance safety in the workplace. IoT is also helping to drive the development of smart factories, which use real-time data & predictive analytics to optimize production processes & improve product quality. In this way, IoT is a critical component of Industry 4.0, enabling the fourth industrial revolution & transforming the way we work.


Predictive maintenance using IoT

Predictive maintenance is one of the key applications of IoT in industrial automation. It involves using real-time data from connected machines & devices to predict when maintenance is required & take proactive steps to avoid downtime. By monitoring machines & equipment in real-time, manufacturers can identify potential issues before they become critical & schedule maintenance accordingly resulting in reduced downtime, increased productivity, & lower maintenance costs. Predictive maintenance also helps to improve product quality, as it allows manufacturers to identify & resolve issues before they become major problems. IoT technology plays a critical role in predictive maintenance, by providing real-time data & connectivity that enables proactive maintenance strategies. Whether you are in the manufacturing industry or simply interested in how IoT is changing the way we work, predictive maintenance is a powerful example of the benefits of IoT in industrial automation.


Future trends & advancements in IoT for industrial automation.

The future of IoT in industrial automation is both exciting & dynamic, as new advancements & trends are shaping the way we work. One of the key trends in IoT for industrial automation is the development of 5G technology, which will enable faster & more reliable connectivity for IoT devices. This results in increased efficiency, reduced downtime, & improved safety in the workplace. Another trend in IoT for industrial automation is the integration of artificial intelligence & machine learning, which will enable manufacturers to make even more data-driven decisions & improve their production processes. The trend towards smart factories, where all machines & devices are connected & working together in real time, is also expected to continue, leading to greater efficiency & improved product quality. The use of wearable technology & augmented reality is expected to increase in the industrial automation industry, enabling workers to interact with machinery & systems in new & innovative ways. These trends & advancements in IoT for industrial automation demonstrate the continued growth & evolution of this exciting technology, & highlight its tremendous potential to drive business success & transform traditional industrial processes.


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