Local Analytical Solution for Industrial Power Transmission Systems

[Cengiz Özemli]

## On-Premise Analytics Solution for Industrial Drivetrain Systems

Siemens has introduced an on-premise analytics solution that enables condition monitoring processes for industrial drivetrain systems with AI-powered diagnostics, without the need for cloud connectivity, thus meeting data sovereignty and low-latency demands.

### High-Security and Low-Latency On-Premise Analytics

This system processes drivetrain data entirely within the user's own infrastructure, addressing critical needs such as data sovereignty, cybersecurity, and isolated network architecture. AI models running on an industrial PC enable low-latency evaluation of operational data, supporting real-time decision-making processes.

### System Architecture and Integration

With its container-based software structure, the system can be modularly applied and scaled to different industrial environments. It supports standard industrial communication protocols like MQTT, gRPC, and OPC UA, allowing integration with SCADA systems, edge computing platforms, and maintenance software.

### High-Resolution Data Acquisition and Pre-processing

The system synchronizes high-resolution data streams such as vibration signals, analog values, and diagnostic fingerprint information using Precision Time Protocol (PTP), ensuring temporal alignment of multiple data sources. Data acquisition is performed with the following modules, depending on application needs:

• Vibration monitoring modules for detailed mechanical analysis
• Fast process parameter modules capturing dynamic system behavior
• IoT modules for additional sensor and automation data

Data is pre-processed locally, which reduces bandwidth load and maintains data integrity within the system.

### AI-Powered Condition Monitoring and Anomaly Detection

Integrated Industrial AI identifies unusual behaviors in drivetrain systems, enabling early detection of wear, mechanical changes, or process malfunctions. The user interface provides information at various levels, from factory-wide overviews to detailed diagnostic views, and can be accessed via standard web browsers.

### Suitability for Variable Operating Conditions

The solution is designed for industrial systems with variable loads, speeds, and operating profiles. In production equipment such as extruders, packaging systems, and textile machines, early detection of mechanical deviations can reduce downtime. Furthermore, detailed analysis can be performed under continuously changing conditions in infrastructure equipment like pumps, compressors, and conveyor systems.

### Place within Modular Drivetrain Analytics

This on-premise solution complements Siemens' cloud-based drivetrain analytics system; while the cloud system offers extensive analysis and fleet optimization, the on-premise system provides data processing and AI-based diagnostics at the field level. This supports predictive maintenance strategies, thereby increasing operational reliability in industrial drive systems.