13 Aug Industry 4.0: The IIoT takes control
The future of technology passes through automation and digitalization, what is called Industry 4.0. As we can see, there are 8 different areas of the manufacturing process affected by this disruptive change, improving efficiency and productive capacity:
Referring to operations technology, monitoring and machine data, and according to lean manufacturing metrics, world-class factories are working at 85% of their capacity, so there is place for improvements and innovation.
Next steps toward automation will require a basic digitalization, and then translating this into predictive procedures in order to improve maintenance and business intelligence. Operational technology (OT) manages the control and monitoring of physical devices, such as machines and equipment, and includes sensors for connecting manufacturing equipment, SCADA systems for operations analysts, logic controllers (PLCs) that grab data, and subtractive manufacturing.
OT performance will improve via highly accurate sensors, that will work in a much more efficient way. Thanks to the future advances in AI, sensors will send only anomalies to a centralized server, reducing bandwidth and computational costs. This cloud service will allow the access to these technologies to small and medium enterprises with lower resources.
Nevertheless, there is also challenges in the deployment of these technologies: factories need a confident OT system, with no delay of sending information to the operational centre (a delay of seconds could be the difference between avoiding a physical damage or acting too late), and no security issues (vulnerabilities at the endpoint). IIoT needs to cut down these downsides, so there is way long to invest and improve Industry 4.0 before a fully satisfactory implementation of new AI technologies.
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Source: CBINSIGHTS
