Fast and secure data analysis on the industrial edge platform

Industrial Edge is an open platform for integrating IT mechanisms into manufacturing to make software and data processing scalable, reliable and user-friendly. Drivetrain Analyzer Edge and Drive Connector SINAMICS are part of the Industrial Edge platform. This combination offers numerous options for easily integrating SINAMICS drives with data from other devices on the shop floor.

Optimized cybersecurity and speed

Industrial Edge is a local solution. It ensures that all data is managed within the local network. This enables very strict control of data from a cybersecurity perspective and a secure multi-level architecture from the edge to the cloud. In addition, Industrial Edge offers low-latency connectivity. Speed is the key factor for rapid response, especially in the event of a fault. Drivetrain Analyzer Edge delivers real-time data on the Industrial Edge platform that can be fed directly and immediately into control systems or a live twin (digital twin in real time).

Drive Connector SINAMICS

As an Industrial Edge application, Drive Connector SINAMICS enables SINAMICS drives to be easily connected to the Industrial Edge device. Drive Connector SINAMICS provides data to the industrial edge device via three adapters (low speed, fingerprint and high speed) and a simulator adapter. These adapters are a software interpretation of the various options for receiving data from the drive. Drive Connector SINAMICS and its drive connectivity open the door to new, innovative approaches to analysis.

Drivetrain Analyzer Edge

The Industrial Edge application Drivetrain Analyzer Edge can be used to monitor and analyze SINAMICS drive systems using high-speed and low-speed data. The main advantage of this application is that it can identify the causes of efficiency losses, reduce downtime and increase the sustainability of the connected systems. Drivetrain Analyzer Edge processes and analyzes the data provided by the Drive Connector SINAMICS application using artificial intelligence and data analysis models. The key performance indicators (KPIs) calculated by these models are displayed in real time and in historical charts.

Compatibility with SINAMICS drives

Drivetrain Analyzer Edge was developed together with Drive Connector SINAMICS. This makes it easy to use drive data from various SINAMICS drives without additional effort. Drivetrain Analyzer Edge reads the payload from all Drive Connector SINAMICS adapters.

Sensorless solution

The Drivetrain Analyzer Edge solution does not require any additional hardware sensors. By using data from Drive Connector SINAMICS, Drivetrain Analyzer Edge can access drive data (torque, speed, temperature, etc.) with little effort. This is advantageous for submerged devices or in hazardous areas where sensor placement is restricted.

Basic anomaly detection

Based on low-speed data, Drivetrain Analyzer Edge uses statistical calculations and trend analysis to detect basic anomalies in the entire system.

High-speed data analysis

The condition of mechanical drive train components can be monitored by analyzing high-speed data (up to 8 kHz) using the Mechanical Anomaly Detector and customizable AI models. No additional sensors or special equipment are required. This unique functionality protects the devices from concrete and specific error patterns that you use to train your AI model.

Energy efficiency

The energy efficiency model provides transparency of the energy consumption of the drive train for SINAMICS G series drives. This includes a detailed calculation of the operating costs of the drive, the CO₂ footprint and the power and energy consumption. In addition, 12 KPIs are calculated to better understand the drive behavior, including the power loss of the drive and motor, the loss ratio between the real and reference drive, the avoided losses compared to the IE2 drive, and the energy, cost, and CO₂ savings compared to the IE2 reference device.

Custom AI model

Develop your own AI model in Drivetrain Analyzer Edge. The customizable AI models feature provides a framework for developing your own model, which is built within the project template and configuration file specification. You can visualize the KPIs of your own AI model using charts or gauges.

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