Industrial Internet of things (IIoT)

The Industrial Internet of Things (IIoT) represents a transformative manufacturing strategy that leverages the power of smart devices and real-time analytics to optimize industrial processes and automation technology. IIoT is an advanced application of the broader concept of the Internet of Things (IoT), which encompasses the connectivity of everyday objects to the internet, allowing them to send and receive data. In the context of industry, this means machines, sensors, and other devices are networked together to facilitate data exchange and analysis, leading to enhanced operational efficiency, reliability, and the creation of new business models.

At its core, IIoT is about connecting smart sensors and actuators to improve manufacturing and industrial processes. These devices collect and communicate data about their operations, which can be used for predictive maintenance, quality control, supply chain traceability, and overall supply chain efficiency. The IIoT ecosystem includes connected devices capable of sensing, communicating, and storing information, as well as the necessary public and private data communications infrastructure, analytics and applications to generate business insights from raw data, and storage solutions for the data generated by IIoT devices.

In practice, the Industrial Internet of Things can collect data from customer systems in the manufacturing industry, for example, to recognize the maintenance needs of industrial robots and initiate appropriate processes. The oil and gas sector can utilize autonomous aircraft with visual and thermal imaging to detect problems with pipelines, while utilities use IIoT to measure and remotely monitor assets.

The Industrial Internet of Things (IIoT) encompasses a range of technical features. These features enable enhanced connectivity, data collection, analysis, and control in industrial environments, leading to improved efficiency, productivity, and decision-making.

Sensor Integration

IIoT systems incorporate a wide array of sensors capable of measuring various physical parameters such as temperature, pressure, vibration, humidity, and flow rates. These sensors are deployed throughout industrial assets, including machinery, equipment, and production lines.

Connectivity Protocols

IIoT devices utilize a range of industrial communication protocols to transmit data over wired or wireless networks. These protocols include OPC UA and MQTT but also Industrial Ethernet and legacy fieldbus protocols such as PROFIBUS, PROFINET,EtherCAT. EtherNet/IP, Modbus, IO-Link and cellular networks (e.g., 4G/5G). The choice of protocol depends on factors such as data transmission speed, range, power consumption, and network coverage.

Edge Computing

IIoT systems often employ edge computing capabilities, for example in the form of edge gateways, to process data locally at the network edge, closer to the data source, rather than sending it to central cloud servers. This approach reduces latency, conserves bandwidth, and enables real-time analysis and decision-making in industrial automation.

Data Analytics and Machine Learning

IIoT platforms leverage advanced data analytics techniques, including machine learning and artificial intelligence, to derive actionable insights from large volumes of sensor data. These techniques enable predictive maintenance, anomaly detection, optimization of industrial processes, and decision support.

Cybersecurity Measures

Security is a critical aspect of IoT in industrial communication to protect sensitive data, prevent unauthorized access, and mitigate cyber threats. Security features may include encryption, authentication mechanisms, access control policies, secure boot mechanisms, firmware updates, intrusion detection systems (IDS), and security information and event management (SIEM) systems.

Interoperability Standards

IIoT ecosystems adhere to interoperability standards and protocols to ensure seamless integration and communication between diverse industrial devices, systems, and platforms from different vendors. Standards such as OPC UA and MQTT facilitate interoperability, data exchange, and integration across heterogeneous environments.

Remote Monitoring and Control

IoT enables remote monitoring and control of industrial equipment and processes from anywhere with an internet connection. Remote access features allow operators to monitor performance, diagnose issues, adjust settings, and initiate actions remotely, improving operational efficiency and reducing downtime

Cloud Integration

IoT systems in industrial communication often leverage cloud computing platforms to store, analyze, and manage data collected from connected devices. Cloud integration enables centralized data storage, real-time data analytics, scalable computing resources, and access to advanced services such as machine learning algorithms and predictive maintenance tools.

For a long time, industrial environments were strictly isolated from IT systems, which was mainly due to security aspects. However, new technologies, such as some of those mentioned above, now make it possible to securely network OT and IT, which is increasingly driving companies to want to benefit from the IIoT and its extensive advantages:

Improved Efficiency

IoT enables real-time monitoring and control of industrial processes, allowing for optimized performance. Automation of routine tasks leads to reduced human error and increased production rates.

Predictive Maintenance

With sensors collecting continuous data on equipment health, predictive algorithms can alert when machinery is likely to fail, thereby minimizing downtime and maintenance costs.

Enhanced Operational Insight

The vast amounts of data generated by IoT devices offer deep insights into operational trends, empowering businesses to enhance process efficiencies and improve product quality.

Remote Management, Monitoring and Control

Managers can oversee and adjust industrial systems from a distance, leading to better response times and flexibility in operations.

Energy Management

IoT devices help in managing and conserving energy by monitoring usage patterns and optimizing consumption based on real-time data.

Supply Chain Optimization

Real-time tracking of materials and products through the supply chain improves transparency, reduces losses, and streamlines logistics.

Customization and Scalability

IoT allows for greater customization of industrial processes and scalable solutions that can grow with the business needs.

Quality Control

Continuous monitoring aids in ensuring high standards in product quality, with sensors detecting and alerting about deviations in the production line.

Integration and Interoperability

IoT fosters integration among various industrial systems, enabling seamless data flow and interoperability, which is crucial for modern manufacturing environments.

Smart Asset Management

IoT facilitates smart asset management by providing real-time data on asset use, location, and condition, optimizing asset lifecycle and utilization.

Hilscher's Managed Industrial IoT offering helps companies to benefit quickly and easily from the possibilities of IIoT. With the netFIELD edge management platform, consisting of edge gateways with integrated Docker container management, an edge OS runtime running on it, centralized edge management via the netFIELD cloud portal and ready-to-use container apps, Hilscher offers a turnkey solution for the aggregation and use of extensive machine data via the Internet and the remote management of industrial components. Thanks to open technologies and interfaces, this system can be customized quickly and easily and adapted to your own requirements.