Innovation Highlights
Digital Twin Manager: Build and manage your operational digital twin by setting up your asset hierarchies and building up your organization's data fabric by attaching your tags, relevant events (batches, downtime, quality samples,...) and predictive machine learning models, as well as managing appropriate access permissions.
Search result refinements: Enhance ad-hoc event analysis by exploring subsets of search results based on duration and calculation values. Users can simultaneously view refinement boundaries; calculation and duration value histograms; and how refinements affect distributions. This new capability enables users to:
Define more appropriate boundaries, revise the search, and adjust a monitor’s sensitivity.
Create context items over a specific subset of events defined by more than one calculation.
Identify anomalous values more easily using the visual representation (histogram).
Plug ‘n play connectivity to AWS IoT SiteWise to bring machine sensor data to TrendMiner, accompanied by asset structure and alarm data from the AWS platform.
Plug ‘n play connectivity to Amazon Timestream to connect TrendMiner with all your timeseries and configured dimensions.
Plug ‘n play connectivity to Microsoft Azure Data Explorer (Kusto) to pull time series data into TrendMiner.