Aggregatedata from all production facilities – including disparate systems such as industrial databases, PLCs, or IOT enabled sensors. Proprietary protocols and open standards such as OPC-UA are supported.
Store data on the edge or transfer it to your isolated cloud space.
Provide high performance visualizations and analyses through high-speed storage at up to 5 million process tags per second.
Easily query your data with predefined operations and RESTful web services.
2 EXTRACT PROCESS AND MAINTENANCE KNOWLEDGE
Zero-code platform to succeed in the digitization of your manufacturing processes.
Build intuitive rule-based responses to process and user-based signals with a drag-and-drop based tool. Capture process knowledge without programming skills in a simple graphical user interface. Transfer knowledge directly from anyone on your team.
Develop rules based on real-time or historical data, individual samples or batches.
Collect, store and share process and maintenance knowledge of your processes and equipment amongst individuals, teams and large-scale operations.
Reliably execute time and event-based business logic directly on the edge (at the operational site) or in the cloud (securely hosted and maintained).
Integrate machine learning algorithms from AIXpert or as R or Python scripts.
3 Apply machine learning – intuitively and without advanced knowledge
Use machine learning without advanced knowledge or specialized skills. Intuitively train your own models for process predictions or predictive maintenance.
Apply pattern recognition and anomaly detection to your data for detection of emerging equipment failures.
Achieve reliable predictions using the latest advances in RNN, LSTM and more.
Let AIXpert choose the best algorithms, models or combinations thereof, depending on the nature of problems or use cases (AutoML and Meta Learning).
Integrate AI models directly into RulesXpert using real-time and historical data.
Use AI models on the Edge with Runtime RulesXpert or in the Cloud.
