It wasn’t that long ago that maintenance systems were an afterthought to control systems. Today, sensors and software focused on maintenance run on edge-based equipment in parallel with control systems, letting manufacturers plan for processing and maintenance in an orderly and sensible way.
Process automation with the help of sensors helps minimize waste, reduce energy consumption and optimize resources by enabling real-time monitoring and precise control over production processes.
The Rosemount 490A provides accurate dissolved oxygen measurements in demanding environments while simplifying integration into existing control systems with digital and universal Modbus RTU communication via an accompanying transmitter.
Including both processing and packaging technologies, here are the manufacturing plant products that FOOD ENGINEERING’s readers were most interested in this year.
Artificial intelligence, coupled with machine learning, promises to improve plant operations from sensor level to the enterprise, but adoption has been slow with some overzealous starts.
With the rushed production schedules at plants, having key process information is not the only data needed, but key device data allows scheduled maintenance.
New remote service tools and robust asset management platforms enable food and beverage companies to envision AI-based strategies and facilitate product innovation across the enterprise.
New remote service tools and robust asset management platforms enable food and beverage companies to envision AI-based strategies and facilitate product innovation across the enterprise.
Over the years, data acquisition systems and sensor technology have made it easier to track and improve OEE scores — now AI and ML can find nuances in data to up performance.
While you can measure and chart OEE manually, today’s AI and ML-based technologies with smart sensors can help processors find the little things that can improve availability, performance and quality — leading to autonomous manufacturing.