5 Trends Driving the Industrial Internet of Things (IIOT) in 2021
10:25 06 September 2021
The Industrial Internet of Things (IIoT) refers to the application of the internet of things (IoT) in industrial sectors, generally to boost automation, production quality, and efficiency. The IIoT, with a heavy emphasis on machine-to-machine communication, big data, and machine learning, enables industries and organizations to improve operational efficiency and dependability. According to a study done by Microsoft, 88% of companies using IoT believe that it is critical to their business. Furthermore, the IIoT industry will undergo unprecedented growth this year. Here are five trends driving the Industrial Internet of Things in 2021.
- Predictive Maintenance Services
Predictive maintenance services allow the early detection of minor changes in equipment operation. It continuously monitors, records, and analyses many aspects of equipment functioning to give deeper and more timely insights than were previously accessible. With adequate data collected over time, these changes may be evaluated to indicate upcoming maintenance needs well before they can disrupt production. Regardless of the efficiency and functionality of equipment and processes, predictive maintenance should continue to occur in cyclic intervals for operational continuity.
- Wireless Connectivity
The combined use of wireless connection, cloud computing, sensor technologies, machine learning, and AI allows industrial development to thrive. Industries may innovate and evolve by using technology in new ways to automate processes, enhance efficiency, set and reach new goals, and adopt new business models with time. A direct application of wireless connectivity in IIoT is the use of wireless communication technologies to install more sensors to enable manufacturers to gain a better understanding of machine health.
- Industrial Automation
Industrial automation through IIoT employs data-driven systems, such as industrial computers or PLC controllers, to automate processes and reduce the need for human intervention. For instance, IIoT could be used to trigger an alarm when a label printer is close to running out of paper, thereby preventing the disruption of the manufacturing process. IoT assists in creating an ecosystem that is adaptable to client's demands in industrial automation. Connecting various equipment to the cloud and exchanging real-time data may significantly influence efficiency, output, and uptime, as well as aid in the development of next-generation machinery.
- The Use of Embedded Systems
Embedded systems provide the hardware support needed to successfully integrate the IIoT into a manufacturing system. They can be used to enable remote sensing and control, in addition to supporting manufacturing automation processes, such as supply change management, inventory control, or barcode application. For instance, https://www.adl-usa.com/ allows users to design and manage highly complex production systems with ease.
- Digital Twins
A digital twin serves as a proxy to replicate physical systems in the digital world, allowing access to an asset's structure, context, and activity. It offers users access to previous and present conditions, as well as the ability to predict the future functionality of the asset. The user should update the digital twin regularly to represent the real-time condition, state, and performance of the physical element through the use of sensors and remote connections. Artificial intelligence offers simulations that can help in planning and forecasting without the need to be physically present on the manufacturing site.
The future of production and manufacturing is rooted in the use of the IIoT. Without the use of comprehensive IIoT systems and frameworks, organizations will find it impossible to keep up with the growing demand for products and services.