What new skills are required to effectively work with smart and IoT devices? Given their characteristics, advanced devices require a broader skill set that encompasses IT and analytical skills. In practical terms, workers should demonstrate proficiency in digital communication protocols and the utilization of software tools for configuration, monitoring, control, and troubleshooting. Additionally, they must address potential security risks, interpret maintenance alerts, and utilize data to optimize reliability, particularly with predictive maintenance features. Is it worth upgrading the training equipment in technical schools with IIoT devices? Absolutely, it is a strategic move with several benefits. Students will encounter these advanced technologies in the workplace, making the training environment more reflective of real-world scenarios. Starting small, such as replacing one or two traditional transmitters in a process loop with smart ones, provides a manageable entry point. Taking small initial steps allows teachers and instructors to become familiar with the technologies and progressively update course content. Are there “user-friendly” technologies for teachers and learners? Yes, there are user-friendly technologies and straightforward introduction setups. Take IO-Link, for instance, known for its simplicity in industrial automation. Teachers can opt for IO-Link ready sensors, which are simpler than transmitters. Choose a sensor for flow, level, temperature, or pressure, and install it in the process loop on the lab training equipment, along with an IO-Link master module. Then download free configuration software like PACTware. Students can integrate and configure the sensor into the communication network. Another uncomplicated option is to replace a transmitter with an equivalent one equipped with Bluetooth connectivity and use a free app for remote configuration, diagnosis, and maintenance. What should companies do to upskill their existing workforce? Our top recommendation is to familiarize workers with upcoming technologies and devices well in advance of their implementation. Offering hands-on training opportunities beforehand allows workers to experiment, make mistakes, and learn in a controlled environment, away from production systems. This was the approach adopted by one of our mining clients, who purchased one of our industrial process control learning systems and asked us to integrate specific IoT devices that would soon be implemented into their operations. What learning solutions can be used to introduce the industrial internet of things? • IoT Kit for MPS PA systems → Page 11 • New components for the industrial process learning systems → Page 73 • Smart sensors TP 1312 → Page 118 M17 → festo.com/didactic Magazine > Current trend topics
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