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.
Gives the operator extra time to avoid critical events on the production line
- Avoiding shutdowns
Predicts defects that increase the risk of damage and breakages
- Ensuring higher quality product and less waste
Production uptime quality & yield
- Faster product/grade change
- Optimized consumption of raw materials
Smart Control Room
Atos and Siemens approach to establish a next level of control room handling is the “Smart Control Room” implementing end- to-end use cases underpinned by the implementation of a real time business intelligence dashboard.
- Smart Alarms/Critical Events Prediction
- Anomaly Prediction
- LAB Values Prediction
Connect valuable assets with the Internet-of-Things to create business value
This is why you should look into predictive maintenance, right now
Predictive maintenance is an Industry 4.0 IIoT staple and targets what may be the most critical efficiency metric of all: time.
Global Head of BD IIoT & MindSphere
Head of global IoT