Preddio’s digital twin solutions improve the efficiency of clean-in-place (CIP) processes by providing chemical and rinse cycle data for Lord Hobo.
“Working with Preddio Technologies, we now have access to data about our CIP processes, our fermentations, and the broader brewery operations and utilities. Tracking these processes in real time allows us to improve our efficiency and even reduce the use of chemicals and water.”
BOSTON (PRWEB)
August 17, 2022
Predio Technologiesa manufacturer of easy-to-install digital twin solutions for condition monitoring and productivity gains, today announced that Lord Hobo Brewing Company is the latest beverage manufacturer using Preddio Simplicity to drive continuous improvement by unleashing captive data streams from clean-in-place (CIP) processes. Specifically, Lord Hobo uses Preddio sensors to monitor the correct amount of chemicals consumed during real-time cleaning cycles and rinse duration for water saving purposes.
“Continuous improvement is essential for our brewery,” says Lord Hobo Brewmaster, Keith Gabbett. “Working with Preddio Technologies, we now have access to data about our CIP processes, our fermentations and the wider brewery operations and utilities. The ability to track these processes in real time allows us to improve our efficiency and even reduce the use of chemicals and water. The automated alerts we’ve set for our key utilities give us peace of mind, even when we’re not around. »
Preddio’s technology is increasingly in demand by food and beverage manufacturers such as Lord Hobo, who use industrial and commercial grade equipment for sanitary production applications. Good manufacturing practices (GMP), clean-in-place (CIP), and traceability are key considerations for every food and beverage manufacturer. Close monitoring of production equipment and critical process parameters is the best way to comply with these regulations and can be achieved quickly and seamlessly using digital twin technology combined with condition monitoring from a distance.
“Most CIP cycles are purely time-based, regardless of the actual chemical concentration, and are not traceable from a quality control perspective. Our digital twin solutions allow users to accurately monitor the conductivity and temperature of their CIP cycles in real time, effectively monitoring chemical concentration and clean water consumption,” said Preddio CEO Aaron Ganick. “This allows breweries to not only reduce the amount of chemicals used and the time spent cleaning tanks, but also creates huge savings opportunities through the significant reduction in clean water consumption and maintenance costs. Wastewater.”
Unlocking captive data streams often reveals unexpected deviations from basic process behavior, enabling breakthrough productivity gains. This actionable data adds tremendous value to breweries looking to reduce cleaning time while reducing water and chemical costs. Additionally, close monitoring of production equipment and critical process parameters is the best way to comply with regulations and can be accomplished quickly and seamlessly using easy-to-install digital twin solutions.
- Food and beverage companies interested in learning more about how Preddio can enable preventative maintenance and productivity gains can contact the company. here.
About Preddio Technologies
Preddio Technologies is the manufacturer of easy-to-install digital twin solutions for condition monitoring and productivity gain. Preddio’s Simplicity and Simplicity Link sensor portfolio, which transforms any existing wired process sensor into a wireless information beacon, provides industrial, commercial, food and agriculture customers with concise and actionable intelligence via Preddio’s Simplicity Cloud. Preddio’s hardware and software can be installed in minutes, requires no integration into corporate IT infrastructure, and works with existing control systems. Customers enjoy the benefits of real-time monitoring of critical assets with information delivered to any device on personalized dashboards that make it easy to detect equipment anomalies and set targets. For more information visit: https://www.preddio.com.
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