The growing importance of intelligent field devices marks a turning point in the process industry: streamlined processes, informed datadriven decisions, improved efficiency and safety, and reduced operational disruption. This underscores the need for parallel investment in improving workforce skills to take full advantage of the benefits of smart and Industrial Internet of Things (IIoT) and smart field devices. How to address this new topic in training programs? We turned to our process automation specialists for insights. What’s the main difference between IoT and analog or basic electronic field devices? The difference lies in their connectivity, communication, and the advanced features they provide, aligning with the latest advancements in industrial automation and Industry 4.0. Overview of the technological progression of industrial devices: Functionality Communication Data processing Traditional devices Basic instruments that perform specific measurement or control functions. They typically provide analog signals, such as 4-20 mA signals. Limited communication capabilities. They may use simple protocols for basic two-way communication. Minimal or no data processing capabilities. They usually transmit raw data to a central control system for processing and decision-making. Smart devices They come with more advanced features beyond basic measurement and control. They often have built-in microprocessors, enabling them to perform local data processing and make decisions. Enhanced communication capabilities. Smart devices can communicate digitally using protocols like FOUNDATION Fieldbus, PROFIBUS PA, HART, PROFINET, or EtherNet/ IP, allowing for more efficient data exchange and diagnostics. Some level of data processing capabilities. They can perform local calculations and transmit processed information to the control system and provide diagnostic information. IIoT devices Part of the broader trend of Industry 4.0, where devices are highly interconnected and capable of sharing and utilizing data in realtime. They often have advanced sensors and may support multiple functionalities. Designed for seamless connectivity to the Internet and other devices. They use standard Internet protocols, such as MQTT or CoAP, for communication with other IoT devices and cloud platforms. Significant data processing and asset management capabilities. They can analyze data locally, make complex decisions, and send relevant information to the central control system or cloud platforms. Training shifts in the age of IIoT devices M16 Process automation I Learning solutions for education and training Magazine > Current trend topics
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