Trendminer recently released 2024.R1 of its advanced industrial analytics platform powered by artificial intelligence (AI). The new update helps process manufacturers streamline operations by expanding the number of addressable use cases within the user-friendly software environment. It helps users generate quick insights into the relationship between production events and features new ways to extract aggregated information from sensor-generated data. With this update, companies can build an enhanced data layer for extracting ad-hoc insights and develop solutions that provide value throughout the factory — from the control room to the board room. The new 2024.R1 release also adds an enhanced overview of the shop floor by adding Human Intelligence from Eschbach Shiftconnector as contextual data to available time-series data. This provides users with a 360-degree view and full control over the production process.
As companies grow in analytics maturity, they also can address more advanced use cases. These include energy management, Overall Equipment Efficiency (OEE), shift-based reporting, and non-linear soft sensors. For quick insights on these areas of operational performance, Trendminer now features Custom Calculations. Users can generate time-series tags in a high-code interface for more complex formulas. They can be used just like any other tag in Trendminer — for graphical visualization, searching, monitoring or creating a dashboard.
With the growing success of advanced industrial analytics, companies are gathering more data to get deeper insights in operations. Trendminer’s new Event Analytics module helps users get an overview of large, high-dimensional datasets. It provides operational experts with new ways to calculate, visualize and refine their data through histograms and parallel coordinates. These highlight distributions and correlations of the data that make root-cause analysis simpler, provide more possibilities for monitoring process conditions, or offering a chance to simply explore the data.
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