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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?

I’ve made a new tag from a value since the output was in “TONS”. So I made one that converted 170 TON into 170000 kg. Only the kg’s isn’t showing at the end. It’s just the number. Is there maybe a way where you can add the “kg” at the end of a converted number?

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,”

 Another year is coming to an end – and what a year it has been.As dashboards slowly calm down, alerts take a well-deserved break and production lines prepare for the holidays, we’d like to pause for a moment and say thank you to our amazing TrendMiner Community.Whether you shared insights, asked questions, posted use cases or simply followed along – you are what makes this community such a special place. If Christmas Were a Process…And because we’re data enthusiasts at heart, we couldn’t help but look at Christmas through an analytical lens.Imagine Christmas as a process: 🎁 Gift Output Rate steadily increasing towards December 24 🍪 Cookie Production showing a classic seasonal peak 🔔 Alert Frequency dropping just in time for the holidays (hopefully!) Just like in real industrial processes, context is key. Behind every trend, every peak and every anomaly, there’s a story waiting to be discovered – and turning those stories into insights is what connects us all in this community. 

Design conditions often look great on paper but once a process is running in real life, the true optimal conditions can be very different. This gap makes it harder to understand the process and to make confident, data-driven decisions based on controlled variables.To truly understand a process—and improve it—we need to analyse data under normal operating conditions.Whether you’re working with:an active batch (batch process), or a running system (continuous process),you can start by searching the relevant operating periods and then adding calculations on top of that search. By selecting the operator average for each tag, we establish a strong baseline: the most common, real-world values of our variables. 💡 This is where Event Analytics shines.With event analytics, you can:Visualise distributions of operating conditions across variables in parallel (parallel coordinate plots) Quickly identify patterns and typical behaviour Apply refinements to remove outliers or exclude conditions that

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

TrendMiner continuously keeps indexed tags up-to-date to ensure reliable access to time-series data. This is done using different update cycles: Every 2 minutes for tags used in monitors. (monitor cycle) Every hour for actively used tags. (forward indexing cycle) Never for tags that haven’t received data for over a year which are called dormant tags (introduced in version 2025.R2.0) in version 2025.R3.0, tags that haven’t been actively used in the past 7 days automatically switch to a daily update cycle. This is the new reduced indexing policy.What are the advantages of the reduced indexing policy? Reduces unnecessary polling on inactive tags which lowers load on external data sources Improves TrendMiner resource efficiency Allows the platform to prioritize actively used tags Administrators can monitor and manage these tags via the Index Overview menu, using filters for update policy and delayed status.This policy is especially impactful in environments with large tag volumes,

As we approach the end of the year, it is the perfect moment to reflect on some of your company’s successes around data analytics, recognize the ongoing challenges, and define a few meaningful goals for the year ahead.To support you in this planning, consider setting up time with your Customer Success Manager. We’d be happy to help you define meaningful goals and identify areas of TrendMiner that you and your teams could benefit from using at a deeper level. Here are some examples:Update your dashboards - The latest versions of TrendMiner have a lot of new functionalities that will certainly give a new look to your dashboards and can help put more relevant information in front of operators, engineers and managers that closely follow key processes in the plant. Connect to more data sources - With an always expanding data landscape, having access to the right data and the right time can really boost your process troubleshooting capabilities. We’d be happy to talk to you about the possibi

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.  

I was sharing the Trendminer dashboard with my colleague, and he asked me a question about whether Trendminer can review the Dashboard and automatically generate a report. This explains any anomaly and some other critical aspects of the machine or system performance based on the dashboard data. Currently have the capabilities to use the trigger of a message or email, looking for reporting that highlights of the last 24 hours (or longer duration). 

When I have a value based search I can add the result of the events also to a context item (a calculated item).On the moment I create a monitor out of this, the events are created, but I can not map it to a context item. For more information see the attached document.

If you are using TrendMiner APIs to access context items (for example to pull them into PowerBI), it makes sense to set up a client user for this purpose. In fact, it is recommended to use a distinct client for every TrendMiner automation you set up. These clients can be configured by a system administrator in ConfigHub.  After setting up authentication via your new client id + secret, you may notice that you cannot access some context items. This is because they are attached to assets to which the client does not have any access rights. These asset permissions can be granted by an application administrator in ContextHub. There is an issue, however: the user search UI does not retrieve client users, and so there seems to be no way to grant permissions to our client user. Thankfully, such a limitation does not exist in the back end. Through a series of API calls, we can configure our client to have the required permissions. In this example I use the built-in API console (accessible by a

Hey, we are using conditional coloring of CH views a lot. Is there a way that we can deploy color coding rules by the SDK?We would like to apply the same rules on multiple values and manual configuration is quite time consuming and quite error prone. BestSören

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