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FactoryTalk Analytics LogixAI

Empower OT Personnel with Out-of-the-Box AI for Production Optimization
Industry 4.0 Modern Factory: Project Engineer Talks to Female Operator who Controls Facility Production Line, Uses Computer with Screens Showing AI, Machine Learning Enhanced Assembly Process
OperationSuite
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What do you wish you knew about your manufacturing process? Is there a process parameter you just can’t measure that holds the key to unlocking your operational goals? What benefits could you deliver if you just had that one missing piece of information? Could you improve your quality, reduce your downtime, increase your throughput?

There are many analytic technologies in the market today but most require deep expertise in both data science and industrial processes which often prevents operational technology (OT) professionals from taking advantage of them. FactoryTalk® Analytics™ LogixAI® changes the game. It continuously monitors the production operation and makes predictions about your process, enabling operators and technicians to easily apply machine learning concepts to get ahead of product quality issues and help protect process integrity—all without having to develop, validate or sustain home-grown machine learning algorithms.


Powerful Modeling Engine

The power of FactoryTalk Analytics LogixAI comes from a modeling engine that is targeted for industrial manufacturing use cases. It empowers control engineers to deploy machine learning with ControlLogix® as the execution engine and ControlLogix tags as the primary data source. It transforms streaming controller data into calculated predictions at the high speeds required for process critical control. The predicted operational values can be used in place of a manual reading or in a place where it’s not possible to deploy a traditional sensor or instrument. Operations teams can use the predictions to improve quality, increase yield, increase asset utilization and home in on specific learnings for their operational excellence journey.

FactoryTalk Analytics Logix AI infographic
FactoryTalk Analytics LogixAI: Machine Learning and Logix
FactoryTalk Analytics LogixAI icons appearing for the software
Video
FactoryTalk Analytics LogixAI: Machine Learning and Logix

What if you could predict anomalies to stay ahead of downtime or losses?

Watch Now

We’re excited to announce

FactoryTalk Analytics LogixAI now supports CompactLogix and FactoryTalk Logix Echo

  • The software supports integration with CompactLogix® 5380 controllers. With this release, automation engineers using CompactLogix 5380 to control their production can deploy no-code Soft Sensor® models at the edge.
  • The software also supports integration with FactoryTalk® Logix Echo controller emulation software. Automation engineers can now quickly and easily build FactoryTalk Analytics LogixAI predictions into their emulation systems for testing and training in a virtual environment.

Drive Production Closer to Perfection through Process Optimization Use Cases

production line with bottles icon

Perfect Fill

When it comes to fluid products, the filling or dispensing step is one of the most critical and expensive stages in the process. But many manufacturers struggle to achieve accurate and consistent filling which results in over- or under-filling. Overfilling results in unnecessary product giveaway, higher costs and lost revenue, while underfilling can increase product and packaging scrap, re-work and regulatory and consumer risk. FactoryTalk Analytics LogixAI analyzes the available production data and builds a model to predict the weight of product being filled in each package. By deploying the model at the edge, FactoryTalk Analytics LogixAI makes real time predictions based on current operating conditions. These predictions help the operations team control the filling process, giving them information they need to increase the fill setpoint when the weight is predicted to be low and decrease the fill setpoint when the weight is predicted to be high. 

Tire icon

Perfect Fit

The term “splice” is used to describe the length of overlapping material where a material bonds. For industrial processes with rolled products that involve splicing, the splice length is a key process indicator. Short splices reduce product quality but long splices waste raw material. Often, operators need to make manual adjustments to the process to achieve consistent, in-tolerance splice lengths. With FactoryTalk Analytics LogixAI, you can reduce manual operator interaction by using live or historical data to build and train a machine learning model that predicts whether splices will be in or out of tolerance. Predictions can be integrated with ControlLogix to consistently make process adjustments that proactively correct out of tolerance splices, increasing productivity and profitability.

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