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We are investigating if there is a way to create a tag that would sum the totalizer and/or flow indicator? I have read through this article but not exactly the answer I am looking for: https://community.trendminer.com/functional%2Dtips%2Dtricks%2D48/optimizing%2Ddaily%2Dproduction%2Dtracking%2Dfour%2Dmethods%2Dfor%2Daccurate%2Dmonitoring%2D351

 Scatter Plots have long been one of TrendMiner’s most powerful tools to visualize relationships between process parameters. In recent releases, this functionality has been significantly enhanced — making it easier than ever to uncover correlations, compare time periods, and analyze performance in detail.Let’s take a closer look at what’s new and how you can apply these features in practice using a heat exchanger example. 1. From Trends to Scatter PlotsWhen analyzing process data  in TrendHub, you can easily switch the visualization type under “Select chart type” — directly below the focus chart. From there, you can change the default Stacked trend view to Trend or Scatter.In the Multi scatter view, all visible tags from your active tag list are plotted against each other. Each combination generates a scatter plot, accompanied by histograms and a regression line (initially linear), including its regression coefficient.This multi-dimensional view is ideal for identifying correlations be

Following up on my last post “High Energy Costs Driving New Use Cases for TrendMiner”, I’m excited to share our latest content updates focused on utility and cleanroom performance optimization. In industrial environments, utilities and facility systems - power, heating/cooling, water, air, and waste management - are the backbone of production and can represent up to 10% of total product costs. Key challenges:⚙️ Maximizing asset reliability and avoiding costly downtime🌱 Optimizing energy use for sustainable production🧼 Preventing fouling and improving maintenance efficiency📊 Reporting on sustainability and emissions performance How TrendMiner helps:🔹 Data-driven energy optimization for more sustainable operations🔹 Predictive insights to prevent unplanned downtime🔹 Continuous monitoring & reporting for compliance and transparency Curious how our customers achieve these results?👉 Explore our new page: “Industrial Analytics for Utilities & Facility Optimization”and discover

 Hello everyone! 👋In this TrendLab 2025 Europe presentation, our VP of Customer Success Frederick Motte and Ben Schulze (​@Ben) from Bayer share their experience working together on data integration. They explain how they brought additional data sets into TrendMiner and how this collaboration helped create real value.🎬 Watch this session to hear why context data matters, how they approached connectivity and implementation, what worked well, the lessons they learned, and the results and next steps of this journey. 

Daily production tracking isn't just a routine—it's the backbone of efficiency, quality, and transparency in manufacturing. But are you making the most of TrendMiner’s powerful features? Whether you are a TrendMiner veteran or just starting out, I hope these small, practical tips will help you work smarter. In the end, what else is there to do if you'd identified issues more quickly and simplified your daily routine? Create Custom Dashboards for Daily KPIsImagine starting your shift with a dashboard that shows you precisely what you need—no more hunting for numbers or flipping between screens. TrendMiner dashboards let you visualise your most important metrics (volume, throughput, yield, downtime, and more) at a glance. Use tiles to compare shifts, monitor targets vs. actuals, and spot trends before they become issues.Set up a dashboard tailored to your role—operator, engineer, or manager—and see how much time you save each day!Leverage Context Items for Shift HandoverEver come in for

We experience that we are not able to register for upcoming training events as an error occurs now for some days already. Anybody else experiencing this?

Hello,In this TrendLab 2025 Europe presentation, Ruud Timmermans (​@ruudtim) from Nobian describes his journey managing TrendMiner from the IT side.He talked about the balance between upgrades, governance, and user engagement.Ruud’s story is packed with honest and practical lessons that many of you can relate to.🎬 Watch his presentation to hear what worked, what didn’t, and what he’d do differently.    

One of my favorite uses for the multi-layer scatter plots is to check performance before and after asset maintenance. Not only is it interesting to compare how much the situation improved by maintenance, you can also see at a glance whether your maintenance is always equally successful, and whether you are performing it at a consistent level of degraded performance.This scatter plot shows the correlation between product throughput (x-axis) and specific energy consumption (y-axis) for 1 day periods just before and after 3 maintenance events. I picked the same color for the layer just before and after each maintenance event, so I can see what layers belong together. What we can indeed see from this plot is that the specific energy consumption decreases after maintenance, always returning to approximately the same level. This indicates maintenance was done successfully each time. We should also notice though that we clearly do not perform maintenance at the same level of performance degra

Here’s an inspiring session from TrendLab 2025 Europe 🎬In this presentation, Matthijs Geerse (​@MatthijsG) from Huntsman shares how their team uses TrendMiner for process health monitoring, from defining what a “healthy process state” means to creating different dashboards that help operators, engineers, and experts collaborate better.💡 You’ll discover: How Huntsman structured health monitoring across teams Real TrendMiner use cases from their sites How they apply Event Analytics and Parallel Coordinates How their monitoring approach evolved with TrendMiner’s data-driven capabilities 👉 Watch the full presentation here:  

Introduction At TrendLab, we talked about the added value of contextual information. This topic generated a lot of interest and follow-up discussion, which is why I’m taking the opportunity here to share some additional information to help you on the way. We’ll focus on ODBC here, but the steps and queries for JDBC will be very similar.When setting up a Generic ODBC data source in TrendMiner for the Event capability, you'll need to configure multiple queries to properly integrate your event data. In this post, we’ll demonstrate all required query structures for connecting to databases like SQL Server, Oracle, or other ODBC-compatible sources.Note that the queries may need small adjustments to work with your specific data source. E.g. to only select 10 rows in MySQL, you’d use “LIMIT 10”, whereas Oracle uses a different syntax, e.g. “Rownum<=10”. Sometimes the syntax may even slightly vary between database versions. Therefore we always recommend checking the documentation of your spe

To optimize performance and reduce unnecessary load on data sources, TrendMiner automatically detects and manages dormant tags starting from version 2025.R2.0. What are dormant tags?A tag becomes dormant when it has not received any new data for more than one year — meaning the End of Data timestamp is over 12 months old.When this happens, TrendMiner will stop attempting to index the tag, and its update cycle will display “Never.”This mechanism ensures that resources are not wasted on polling inactive or obsolete signals, keeping your system efficient. How are dormant tags detected and managed?Dormant tags are identified automatically once per day by a background process.When plotting a dormant tag in the focus chart, indexing will be retriggered and the tag will resume its normal indexing status. Administrators can also manually resume forward indexing of these tags by clicking the play button in the index manager. If the indexing call did not receive any new data, the tag will automa

When disk usage exceeds certain thresholds, administrators are notified through the appliance’s monitoring configuration within the Edge Portal.Below are the two most common disk email alert scenarios, along with explanations and recommended actions. Case 1: Disk Alert for ‘/mnt/data’ Description:A warning alert is triggered when the /mnt/data mount — which stores most of TrendMiner’s critical application data such as indexes, packages, logs, and databases — exceeds 80% usage.For email alert example, you might receive an message indicating that only 19.98% (19,127 MiB) of space remains available as shown below.Recommended Action:Follow Disk space extention guide to extend storage. Expanding storage ensures TrendMiner can continue to write data and perform indexing operations without interruption. Case 2: Disk Alert for Root Directory ‘/’ Description:A warning alert is also raised when the root directory (/), which holds the server’s system-critical files — including boot files, binarie

Time and again, one of the key benefits TrendMiner users share is the ability to receive alerts via email, text, or simply historize them for later review and easy analysis. But when you're in the field, away from your desk, dealing with an issue, those conventional alerts can be siloed and hard to track as a team. In one of my recent conversations with a group of users, they shared they were sending alerts directly to Microsoft Teams. This is a neat collaborative approach that perfectly aligns with TrendMiner's focus on making collaboration easier and brings your notifications right where your team is. Here are the simple steps you can take to set up this integration: 🛠️ Setting Up TrendMiner Alerts to TeamsSet up a dedicated Teams channel for the project or area of interest. (See here for how to create a channel in Teams.) Obtain the channel email address: Select "More Options" next to the channel's name, and then select "Get email address." Copy the email address. Configure a mon

Hi,We have a continuous process with around 50 product types.For all of those product types I have different KPI’s e.g. for steam consumption / steam flow.Which trendminer feature is able to compare current consumption at product type xy vs. standard consumption at the same product type? I would like to have a Dashboard showing standard consumption vs. current consumption and a green, yellow, red flag (depending on %-value of lower / higher consumption vs. standard).I have a list of product types and corresponding standard consumptions, but I do not know how to use as a comparison reference.Thanks for your help

Have you ever struggled to find the right tag while using TrendMiner?When the historian’s tag names are full of digits and cryptic codes, it can be tough to know which sensor or process you’re actually looking at. That confusion can slow down your analysis and make it harder to trust your findings. That’s where the Digital Twin Manager comes in. 🧠 With this tool, application administrators can build an asset framework — a clear, folder-like structure that organises every piece of process equipment in a logical, user-friendly way.Here’s how it helps: 🗂️ Organise your assets by creating nodes (folders) for each equipment. 🏷️ Add and rename tags to use meaningful names and descriptions. 🔍 Simplify searches — instead of typing complex codes, just browse the framework to find what you need. Asset Framework of a Combined Cycle No more confusion. No more wasted time figuring out which sensor is which.Just faster insights and smarter decisions. Digital Twin Manager = Time saved + Produ

Some time ago, there was the possibility to look into the "future" during a Trend Live view and comparison levels over the X-axis. Unfortunately, this possibility disappeared in a past update.Since this update, the X-axis has repeatedly reset to the current time of the last query.Now, a glimpse into the "future" can only be achieved offline or through the Prediction mode.However, in prePrediction mode I cannot select my own level there, but have to work with the proposed comparison values (percentage similarity). The prediction time is fixed at 80 minutes.Monitoring reactions via Trend with, for example, one or more comparison batches is unfortunately not possible in this way.Is there any work being done to allow scrolling of the X-axis during the Live view?

Hello, is there a way to navigate to multiple dashboards from a single source, without the use of MLHub?  Example: I have a primary dashboard and on it, I can click a tile and move to a different dashboard similar to how we can transition to TrendHub directly via the tile or trend view.

Hi everyone,You can now watch the recording of the TrendMiner 2025.R2.0 release webinar!This release introduces smarter collaboration, improved usability, and stronger performance across the board. 📑 Slides: TrendMiner 2025.R2.0 Webinar Slides🎥 Recording: Let us know your thoughts in the comments below! 🚀

 📌 BackgroundEvery production site collects and stores massive amounts of process data — far more than is typically analyzed. For engineers, gaining a holistic view of plant operations can be a daunting task.TrendMiner’s layer comparison and compare table features make it easy to visualize and quantify how different operating periods performed, side by side.By leveraging this functionality, users can quickly identify high-performing periods and understand which process conditions led to those results. 📌 ObjectiveUse historical data to identify ideal operating conditions by comparing performance over several time periods (for example, across months).With just a few clicks, TrendMiner users can: Compare key process variables over multiple months, Identify which periods performed best, and Spot potential process differences that may have led to underperformance.  🛠️ Solution1. Create a Layer for Each PeriodStart by selecting the process tags you want to compare — for example: Raw m

Hello,I imported Tags into trendminer (first trial, I am a trendminer beginner).I recognized, that the timestamps are not good and deleted all imported Tags.Now I want to import the same Tags again (with optimized time data), but get the following message:According to this message, the Tags already exist.When clicking on “importierte Tags”I get this:Its contradictory to the message “Tags sind bereits vorhanden”What can I do to really delete the Tags and to import them again (with different time data)?Thank you for your support