February 2025¶

25^th February 2025¶

Within this release of Insights Hub Local Private Cloud, you will experience the Insights Hub services and applications in the same way as our public cloud offerings.

Depending on the chosen plans and services for each deployment, new capabilities will be available with this release for the following products:

• Asset Health & Maintenance
• Edge Analytics
• Energy Optimizer
• Insights Hub Launchpad
• Insights Hub OEE
• Insights Hub Quality Prediction
• MindConnect MQTT

Asset Health & Maintenance¶

What's new?

• With this release, the latest version of Asset Health and Maintenance is available on LPC. In addition, we have also improved the setup configurations.

Edge Analytics¶

What's new?

• With this release, the latest version of Edge Analytics is available on LPC.

Energy Optimizer¶

What's new?

• With this release, we have redesigned the user interface for Energy Optimizer. In addition to the new look and feel, it also displays the time trend of Energy Efficiency at the top and the underlying machine status and energy consumption at the bottom.

Insights Hub Launchpad¶

What's new?

• With this release, administrators can configure the color schema of the Launchpad for all users of this environment in "Settings" under Provider information, alongside the company name and logo.
• With this release, we have restructured the Launchpad for easy access to system tools, apps & solutions and a better overview of the available applications.

Insights Hub OEE¶

What's new?

• Within this release, we provide the following:
  • State editor to split, merge and overwrite machine status
  • the selection of timezone in the date range picker for OEE KPIs
  • quick selection of user-defined time range
  • Replaced markdown widget
  • extended the range of special characters that you can provide and support for international characters

Insights Hub Quality Prediction¶

What's new?

• With this release, imputation improves the quality of the training input data. This means that the incomplete rows are no longer dropped from the data set. Instead, missing values are filled in by using the Last Observation Carried Forward (LOCF) method.

MindConnect MQTT¶

What's new?

• With this release, you can use the user interface to bring data in your proprietary JSON format from MindConnect MQTT agents. The services will ensure that the data is transformed to the native format. It also supports different time formats.
• With this release, we have further improved the performance and enhanced the usability of the user interfaces for your MindConnect Lib and MindConnect MQTT agents.

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