DSS - AI-based decision support
A Decision Support System (DSS) is a series of AI-based software functions particularly useful for automating and streamlining the management of large online systems. The overall purpose is to relieve maintenance personnel from having to deal with vast amounts of measurement data to analyze and find insights into root causes and complex problem-solving.
- Easier set-up of machines, measuring points, and measuring assignments
- Faster and more accurate analysis of measuring results
- Less reliance on in-house expertise
- Frees up time for maintenance staff
- Included in the platform package
CONNECTIVITY FOR THE SMART FACTORY
Condmaster Ruby has an easy-to-implement, Industry 4.0-friendly REST API enabling other resources to access Condmaster data for further processing or analysis. To provide even greater opportunities for interoperability, Condmaster also supports the OPC UA standard. The capability to merge high-quality condition monitoring data into Big Data analytics and machine learning enable more accurate predictions and sharper analysis.
HIGH-EFFICIENCY DATA HANDLING
Condmaster Ruby focuses on efficiency and high throughput. Optimized database management and parallel computing enable fast execution of processes and calculations, thus supporting Big Data analytics. Timely reporting of condition data enables managers to stay up-to-date on the health of critical assets.
MONITOR AND OPTIMIZE INDUSTRIAL PROCESSES
Beyond traditional condition monitoring using vibration and shock pulse data, Condmaster Ruby has the capacity to handle process-related data, which can be presented in customer-specific dashboards – in Condmaster or other systems – to monitor and optimize industrial processes.