How IIoT is driving the industry of the future
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Today, factories, power plants, warehouses, and industrial facilities of all kinds generate massive volumes of data. Within them, numerous parameters can be monitored. But how can all that information be turned into manageable data that helps organizations work more efficiently?
In this context, IIoT or the Industrial Internet of Things was born—an evolution of IoT applied to industrial environments by connecting machines, sensors, and software to analyze data and optimize processes. We tell you all about it here.
What IIoT is and how it differs from IoT
IIoT (Industrial Internet of Things) refers to the application of IoT technologies in industrial settings. It involves connecting machinery, sensors, equipment, vehicles, and other devices to collect, exchange, and analyze data.
The NIST (National Institute of Standards and Technology) defines it as the application of connected instrumentation sensors and other devices to machinery and vehicles, especially in sectors such as transportation, energy, and critical infrastructure.
It is useful to distinguish it from IoT, because although similar and driven by the same technologies, its focus is very different. While IoT connects devices aimed at the end-user, such as a smartwatch, IIoT focuses on automation and efficiency across a connected organizational ecosystem.
This pursuit of efficiency in industrial processes makes IIoT a much broader ecosystem where technologies such as IT, sensors, 5G connectivity, edge computing, cloud, analytics, OT (operational technology), and artificial intelligence converge.
| IoT | IIoT |
| Oriented toward the individual | Oriented toward industrial environments |
| Wearables, home automation, personal devices | Factories, warehouses, agriculture, energy |
| Optimizes everyday tasks | Optimizes complex production processes |
| Handles smaller data volumes | Handles large data volumes requiring extreme precision |
How IIoT works and its key benefits
For an IIoT system to work, a full cycle takes place where devices collect data, transmit it, process it, and transform it into useful information for decision-making. For this to happen, several technologies must work in harmony:
- Sensors. This is one of the key elements for any IIoT system to function. They must be integrated into industrial machinery and equipment, and are responsible for gathering information about their status and environmental conditions. Sensors can measure parameters such as temperature, speed, energy consumption, and pressure, among others. Afterward, this data is sent to a central system for analysis.
- Robust connectivity. Data must be able to reach the systems where it will be processed. Therefore, industrial facilities use various communication technologies and protocols. In this context, 5G can play a significant role in certain IIoT applications, although it is not the only connectivity option, as it depends on the specific setup of each facility.
- Edge computing. Allows processing data close to where it is generated, rather than sending all the information to the cloud. This is especially useful in industrial processes requiring fast responses, while also reducing the volume of data that needs to be transmitted to the cloud.
- Cloud computing. Cloud computing enables storing large amounts of data generated by the IIoT system. This facilitates access to information from a single unified environment and can complement edge computing.
- Artificial intelligence and data analytics. Data must be analyzed and leveraged for decision-making. To achieve this, data analytics, artificial intelligence, and machine learning tools help identify patterns, anomalies, and make predictions based on the gathered information.
IIoT has multiple applications across many sectors, including smart manufacturing, Smart Warehouses, logistics, and the energy sector. But what can be achieved with this technology?
- Greater operational efficiency. Thanks to continuous monitoring, organizations gain a precise view of everything happening in real time, allowing them to optimize operations.
- Cost reduction. IIoT helps detect issues early, optimizing processes and reducing costs associated with breakdowns, energy consumption, or maintenance, for instance.
- Quality improvement. The data collected by the IIoT system enables continuous process control, pinpointing quality issues and allowing for targeted improvements.
- Data-driven decisions. Perhaps one of the most significant benefits is that IIoT provides objective insight into operational events. This allows for data-driven decision-making, minimizing human error.
The ongoing evolution of IIoT is leading toward increasingly connected, intelligent, and autonomous industrial systems. What about you—do you think we are looking at one of the pillars of the industry of the future?
