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CIP data visibility follows automation trends

As more production data moves to analytic platforms, food and beverage producers identify CIP applications for better plant optimization.

The CIP platform platform allows the operational team “see” the volume of chemicals used across every single wash.
The CIP platform platform allows the operational team “see” the volume of chemicals used across every single wash.

Levels of automation can vary widely in the food and beverage industry, but advancements in data acquisition options are quickly driving companies toward optimization. Data acquisition options are now traveling farther upstream in the industry, making more inroads into processing equipment.

The “2017 Trends in Food Processing Operations” report from PMMI, The Association for Packaging and Processigng Technologies, reveals that nearly half of the 40 companies in the survey will be spending more on capital equipment in the next 12 to 24 months. The report also shows that operators and maintenance teams are employing predictive maintenance practices at a rate of 64 percent and preventive maintenance rates of 97 percent.

With more predictive and IIoT approaches being accepted as logical next steps, companies are installing sensors farther upstream in food processing operations, such as clean-in-place (CIP) applications.

“Better visibility of your clean-in-place applications can translate into a seven to ten percent increase in optimization,” says Joe Curran, senior staff scientist for food and beverage, Ecolab USA, at the Conference at ProFood Tech held in Chicago last month. The session, “Food Plant of the Future: Running on the Internet of Things,” featured case studies with the company’s 3D Trasar Analytical Platform for CIP applications.

A recent case study at Kemps’ dairy plant in Rochester, Minn. featured the company’s CIP analytical equipment. The Midwest dairy producer recently expanded its product offerings and needed an automated solution for better data analytics with its CIP parameters, including sanitizing.

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