While many existing analytics technologies require deep expertise in data science and industrial processes this add-on module for ControlLogix controllers reduces that burden by doing the job of a data scientist. Formerly known as Project Sherlock, the module uses artificial intelligence to detect production anomalies and alert workers so they can investigate or intervene, as necessary. It fits directly into a control chassis and streams controller data over the backplane to build predictive models, and can continuously monitor a production operation, detecting anomalies against its derived understanding. The module learns the user’s 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. 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 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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