• Handles multiple types of data such as machine data, weather, new sensor data and other sources
• Automatic learning
• Localized high performance solution for real-time response and cloud integration
• Generalization of models for multi site implementation
Control and Automation systems
Industry 4.0 and industrial AI has for a long time been focused on predictive maintenance and anomaly detection. However that only makes machines more available. The next step is to make them operate closer to optimum. There are several aspects to this. At the core control and automation systems have a fundamental limitation of being programmed by people. Machine Learning can in most cases improve the models and target values, that are used in production today. Another level is people. Expert machine operators can have a much higher performance than others operators.
The same logic goes for full shifts of larger production sites where some teams perform much above the others. Using modern AI we can improve the performance of the machines and plants. This may also be key for corporations with an aging workforce that find it hard to replace the employees that are retiring.