In the context of Industry 4.0 or the Industrial Internet, the Industrial Internet of Things (IIoT) has become a central part of the digital transformation arena. Data is a key asset and production resource in related products, and is an essential function in the application analysis of globally connected products (throughout their entire lifecycle).
The Industrial Internet of Things (IIoT) focuses not on consumer devices, but on equipment and machinery in industries such as oil, agriculture, and healthcare, where system failures and unplanned downtime can lead to high-risk, even life-threatening situations. The IIoT combines modern industrial engineering with intelligent assets such as sensors and actuators, aiming to improve manufacturing and industrial processes. By connecting large numbers of industrial devices using communication technologies, upgraded machines can collect, exchange, analyze, and transmit valuable data.
Each Industrial IoT ecosystem includes:
1. Connectivity devices used for communicating, storing, and detecting their own information.
2. Data storage generated by industrial IoT devices
3. Analysis and applications that generate information from raw data
4. Information collected by public and private data communication infrastructures is directly transmitted to the data communication infrastructure and then transformed into information that can be analyzed and used for various applications, including predictive maintenance and business optimization.
How does the Industrial Internet of Things (IIoT) work?
The Industrial Internet of Things (IIoT) is a subcategory of the Internet of Things (IoT), where businesses are redefining how to connect, monitor, analyze, and act on industrial data to reduce costs and drive growth.
The idea behind the Industrial Internet of Things (IIoT) is to use the data generated over many years by “dumb devices” in industrial facilities. Smart machines on assembly lines can not only capture and analyze data faster, but also communicate important information more quickly, which helps to make business decisions faster and more accurately.
The integration of information technology (IT) and operational technology (OT) has driven the development of the Industrial Internet of Things (IIoT). It is a network matrix connecting devices, collecting and analyzing data through sensor technology, and directly integrating it into a platform as a service. The IIoT will herald a new era of industrial use cases, offering numerous opportunities for economic expansion.
The Industrial Internet of Things (IIoT) collects vast amounts of field data from factory floors, transmits it through connected nodes, analyzes it on servers, and transforms the information into actionable insights on cloud platforms. This encourages businesses to make better decisions for their specific markets and target audiences. In other words, the IIoT is a system that connects edge devices such as actuators, sensors, controllers, connected switches, gateways, and industrial personal computers (IPCs) to the cloud.
Advantages of Industrial Internet of Things
1. Improve efficiency
The biggest advantage of the Industrial Internet of Things (IIoT) is its ability to help businesses automate operations, thereby maximizing operational efficiency. Furthermore, physical devices can be connected to software solutions via sensors to continuously monitor performance. This allows businesses to gain a better understanding of the operational efficiency of specific equipment and the entire fleet. In addition, the IIoT enables data-driven decision-making and remote monitoring of all production processes.
2. Increase production
Organizations with IoT-enabled manufacturing processes can potentially increase their productivity by improving equipment utilization. As mentioned earlier, networked devices provide a continuous stream of data, enabling deeper insights into equipment operation. This can improve overall equipment efficiency, maximizing machine performance during uptime. Furthermore, using industrial IoT devices also improves the utilization of human capital. Smart devices can be used to perform tedious, repetitive, and hazardous activities, freeing up employees to perform other, more strategically important production-related tasks.
3. Reduce errors
The use of the Industrial Internet of Things (IIoT) is forcing companies to automate production operations. Eliminating human error from industrial operations eliminates inefficiencies that lead to defective products leaving the assembly line. As quality defects decrease, a company's profitability improves due to increased customer satisfaction and brand awareness.
4. Predict maintenance needs
Predictive maintenance is a strategy that avoids asset failures by analyzing production data to identify patterns and predict impending problems.
Integrating Industrial IoT sensors into industrial equipment enables the issuance of status-based management notifications. These sensors record temperature, humidity, and other environmental variables in the work area, as well as the composition of materials and the impact of transportation factors on transport, both past and future. All of this data is useful for predictive maintenance. Therefore, asset failures can be avoided, costs reduced, and machine downtime minimized.
