Process analysis software remotely displays live production views and historical analysis
TrendMiner 2019.R3 displays a personalized and actionable dashboard with a real-time view of the production process.
TrendMiner, a Software AG company, released TrendMiner 2019.R3, which enables process manufacturing companies to create an analysis-based production cockpit. The software analyzes the production process live, compares its progress to historical production cycles and displays diagnostics, quality status and forecasts to production operators or management via individually designed dashboards. It also streamlines the flow of information between shifts and shift teams to engineers.
Each stakeholder can have an actionable dashboard, analytics suite, and agile communication facilities with live insight into the status and performance of the production process. Advanced early warning capabilities give operators the ability to act proactively and optimize operational performance before problems arise. Team members can collaborate by sharing items stored in the work organizer.
Earlier versions of TrendMiner allowed process and asset experts to analyze, monitor, and forecast operational performance through trend analysis of time series data. The new version expands this capability by offering fleet-wide asset performance assessment through value-based multi-asset research and analysis technology. Engineers can now perform a single, value-based research across a fleet of related assets, to compare the behavior of different areas of the plant or across multiple plant sites. Through the use of value-based criteria, the behavior of similar assets such as pumps, heat exchangers and valves can now be directly compared in seconds. The results of this work can be used to create asset-specific production cockpits.
The new software enables integration with production-related business software applications using webhooks. For example, an early warning based on a master lot footprint or the best operating area of an asset can trigger a workflow action in a third-party business application to schedule a maintenance work order.
Source: Trend Miner