New Delhi May 1, 2019:   Rockwell Automation has  brought their new FactoryTalk Analytics LogixAI module, to India.
ormerly known as Project Sherlock, it  uses artificial intelligence (AI) to detect production anomalies and alert workers so they can investigate or intervene, as necessary. Industrial workers can now more easily use the data from their equipment to help predict production issues and improve processes with their existing automation and control skill set.
“The FactoryTalk Analytics LogixAI module makes predictive analytics more accessible to help more workers make better production decisions,” says 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.”
Many existing analytics technologies require deep expertise in both data science and industrial processes. But Rockwell's  add-on module for ControlLogix controllers helps to reduce 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.
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.
“Factory Talk Analytics LogixAI has positive implications for Indian businesses in any sector,” says Dilip Sawhney, Managing Director, Rockwell Automation India. “By providing guidance based on available data, it will enable operators to help to ensure smooth running of processes or machinery. Our customers can empower employees to troubleshoot and solve problems as they arise or even before, reducing downtime and ultimately contributing positively to the company’s bottom line.”