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Without a doubt, the biggest news in manufacturing for the decade is the rapid proliferation of low-cost sensing and computer processing being attached to all types of industrial equipment—everything from connectors, hose and tubing to pumps, motors, actuators and filters. In fluid power systems, the line between actuator and sensor is becoming increasingly blurred.
Traditionally, solenoid-operated valves were powered by simple contactors in an output card; today, more of them are on the network and have built-in diagnostic sensing to monitor temperature, voltage, current, and even cycle counts. The massive amount of data these sensors produce creates an equally massive opportunity to transform the way factory managers operate and maintain industrial equipment.
IoT or IIoT?
However, those opportunities have largely remained unexploited. Although Internet of Things (IoT) technology has largely focused on enterprise-level IoT systems, these systems aren’t yet able to collect data from the component level. To borrow from the language of telecommunications, industrial IoT hasn’t yet made the “last mile” connection to the individual components of machines, reducing its overall value.
Some important differences exist between IoT and IIoT. The initial I stands for Industrial, and means principles of IoT are applied in a factory setting. The architecture and connectivity to the cloud will vary from industry to industry and customer to customer. The overriding principles that should prevail are:
- Starting with an understanding of what specific business or operational goals are desired with an IoT architecture (be that a reduction in downtime, increase of production speeds, leveraging predictive analytics, etc.).
- Procuring intelligent components that are able to connect to the desired architecture
- Partnering with a reliable manufacturer that has proven the capability to own the IoT architecture and facilitate the attainment of the initial desired goals.
What About Security?
Security concerns, proprietary protocols, and the enormous mass of data that would be generated have all discouraged operators from making the final connection from components to the IIoT and gaining the insights they need to predict failures and optimize performance at the machine component level. But that may change sooner than anyone thinks.