Smart Control Room

Self-optimizing alarm prediction mechanism creating a new approach to smart operations

The Process industry is facing challenges in high down times, errors made by production line operators and complexities handling large variety and volumes of alarms

Although systems within a production line produce hundreds of alarm and event messages per minute, up to 80% of the alarms are “soft” and events can be ignored.

Filtering out the relevant alarms requires significant manual efforts.

Mistakes happen, critical alerts are ignored and the result is significant revenue loss from production downtime.

Improved process efficiency and less workload of production line operators, thanks to a new alarm handling solution

Based on the implementation of an  open IoT ecosystem within the production line, machine learning algorithm and prediction models, processes and work of production line operators are improved and self-learning systems created.

Thanks to open ecosystem and a multi-technology, multi-vendor approach, Atos delivers  an industrial-scale end-to-end solution that increases your Operation Equipment Efficiency.

The smart operation solution will increase the reliability of factory monitoring activities and simplify the workflow of production line operators.

Event Prediction

Gives the operator extra time to avoid critical events on the production line

  • Avoiding shutdowns

Defect Prediction

Predicts defects that increase the risk of damage and breakages

  • Ensuring higher quality product and less waste

Strength Prediction

Production uptime quality & yield

  • Faster product/grade change
  • Optimized consumption of raw materials

Accelerate digital transformation with the Internet of Things


An end-to-end solution for digital business of the future

Related resources


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Our experts

Frank Gemmer

VP, Head of BD Siemens Atos Alliance

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Jiska Druey

Global Business Developer IoT

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Niels Thomsen

Global Head of IIoT & MindSphere Practice Global Head of Business Dev. for Managed IoT

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