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One of the things about the digitalization effort is understanding and applying the data that come in. There is now a way to easily use the data from equipment to predict production issues and improve processes with their existing automation and control skill set.

The new FactoryTalk Analytics LogixAI module from Rockwell Automation, formerly known as Project Sherlock, uses artificial intelligence (AI) to detect production anomalies and alert workers so they can investigate or intervene, as necessary.

Existing analytics technologies require deep expertise in data science and industrial processes. But this add-on module for ControlLogix controllers reduces that burden by doing the job of a data scientist. It fits directly into a control chassis and streams controller data over the backplane to build predictive models. It can continuously monitor a production operation, detecting anomalies against its derived understanding.

“The FactoryTalk Analytics LogixAI module makes predictive analytics more accessible to help more workers make better production decisions,” said Jonathan Wise, product manager, Rockwell Automation. “The module learns your ControlLogix application and tells operators and technicians when things are changing in unexpected ways. This can help them get ahead of product quality issues and protect process integrity.”

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For example, the module can help operators spot performance deviations in equipment like mixers that could affect product quality or lead to downtime. It can also be used as a virtual sensor. Instead of workers taking a reading, like the humidity of a packaged food product, the module can analyze variables from line assets like sprayers, dryers and burners to predict a measurement, virtually.

Workers can then be notified of problems by configuring alarms on a human machine interface (HMI) or dashboard. Future features of the module will go further, helping workers focus their problem-solving or automate the optimization of a process.

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