Unanswered questions

Of a fermentation batch I have successfully created a search and fingerprint (based on layers) of the productivity. I have a request to visualize this fingerprint on the current running batch in a dashboard (to be shared, and should require no intervention).How can TrendMiner know when to “reset” the view timeline whenever a new batch is started. I do have another tag of the program sequence (recording when a step is changed and therefore when a batch starts and ends, is recorded as an analog signal) which could be used, but I don’t know if and how that could work. Can this work, * without * any manual work dragging the fingerprint over the running batch?

Hello,I am currently developing a dashboard to monitor the nitrogen consumption of our production lines. Each line consists of several machines connected to nitrogen tanks, and we have flow measurement devices for each machine. I have defined two types of anomalies for these machines:Nitrogen consumption when idle: to detect unintended leaks. Nitrogen overconsumption when running: to detect deviations from normal flow.For this purpose, I have included two surveillance tiles for each machine in the line-specific dashboard. However, my goal is to create a high-level dashboard that provides an overview of all lines, showing if there is an issue with any particular line. From there, users could click a link to access the detailed dashboard for that line.My question is: Is it possible to monitor from the general dashboard whether anomalies are occurring on the lower-level dashboards? The searches I use for the detailed dashboards are based on conditions like “over X value during Y minutes,”

Regarding embedding a Notebooks output into a DashHub tile via the “Pipeline” feature as an Expert license holder, I am wondering what the limit specs are for bridging the Notebooks/DashHub environments.  I was testing out the Pipeline feature to embed a visual output, specifically a plotly chart, from my Notebooks script into a tile in DashHub. I pulled in a saved View with two tags, converted them to a dataframe on a one-minute granularity, so about half a million data points (they only have data for 2025), and I am able to succesfully plot these tags in a Notebooks output. However, when I publish the notebook to a Pipeline and configure a “Notebook output” tile in DashHub, it loads for ~10s then fails with the error message: “The notebook pipeline is too big to be run by a kernel and cannot be loaded.” In my Notebook script, for reference, the View loads into the dataframe in about ~120s, which doesn’t seem overly ambitious, so I am wondering at what point the dataframe is too large

Is it possible to add aggregation results in a context table? For example, I would like to have a table with all the cleaning registered in the last month with the resources consume such as water, chemicals, steam, etc. I can calculate the volume of these resources consumed with the integral aggregation, however I cannot add them in a context table. How can I add it. Column of water added for explanation proposes.  

Hi allIs there a way to quickly navigate to the formula editor out of the TrendMiner View Tag dependencies?How I do it now? I open the Tag-Builder, click on saved formulas, search for the formula and edit it.It would be helpful to be able to open the editor directly from the view. BR Peter