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Hi everyone,You can now watch the recording of the TrendMiner 2025.R4.0 release webinar!For more detailed information, you can read the Release Notes.🎥 Recording: Enjoy exploring the new functionalities and enhancements in our latest release!If you have a question or feedback, feel free to share with us in the comments.The TrendMiner Team 

This machine learning model can't be saved because it exceeds the maximum number of allowed levels (2) in a machine learning modelAnyone has faced this problem from mapping the tags to the PMML Model.The tag that be calculated from the Aggregation after that using in formular tags. 

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,”

When you add a link in the DashHub text tile, by default it will open up in a new tab. If we were to look into the actual html content that is saved in the tile when we create a link via the editor, it will look something like this:<p><a href="https://cs.trendminer.net/dashhub/#/dashboard/599f8acf-690e-4034-8811-d596ac826d25?mode=presentation" target="_blank">test</a></p>This represents a link with the text 'test', which links to another dashboard. The target="_blank" means it will open up in a new tab.If we want the link to open up in the same tab, this target would need to be replaced "_self", or be left out entirely. Unfortunately, the text tile editor does not allow us choose the target, or edit the html directly.A trick I learned from a user recently though, is that a URL copied from certain other places, will have the target omitted, thus opening in the same tab. This is true for browser bookmark links, for example. A quick workaround I now use to have a l

TrendMiner is built on a modern, container-based platform that runs on Kubernetes. As a result, the application relies on dynamically assigned IP addresses rather than a single fixed address. Below a short explanation on Kubernetes and the required IP-ranges. A Kubernetes-based platformKubernetes is responsible for starting, stopping, and managing the different services that make up TrendMiner.In a Kubernetes environment, services run as containers that can be restarted, replaced, or moved as part of normal operation, for example during upgrades. Because of this dynamic behavior, individual container IP addresses are not fixed and TrendMiner requires multiple IP-ranges. Required IP-rangesWhen you install TrendMiner, by default the following IP ranges are used: 10.42.0.0/24 10.42.1.0/24 10.41.0.0/24 These IP ranges should not be used by other applications on the same network. They are used locally within the platform and do not need to be externally routable. If any of these ranges

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?

 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