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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

 📌 BackgroundIn many chemical plants, reactors contain catalyst beds that gradually lose activity and need to be replaced on a routine basis. Because catalyst life can vary significantly, it is difficult to predict exactly when a failure will occur.A premature catalyst failure would have a major impact on production, supply chain, and maintenance. Therefore, it is critical to plan preventative maintenance well in advance – at least a few weeks prior to failure – to avoid costly unplanned downtime and production losses. 🎯 ChallengeWith TrendMiner, a workflow can be set up to monitor and predict catalyst performance: Searching on Process Values The first step is to use value-based searches to identify when process values reach certain limits. These searches can be saved and later used as the basis for monitors. In this way, early indicators, warning levels, and critical conditions can be defined, all providing valuable insights into catalyst performance. Event analytics can of course a

Did you know you could add certain content from outside of TrendMiner to your dashboards? The external content tile allows you to add additional information to your dashboards that doesn’t necessary originate from your process data. Many often include training videos, images, and Visio block flow diagrams, stored on SharePoint pages, to give better context to those interpreting dashboards shared across teams or shown on control room displays.​@EdwardB recently shared some interesting sources that allow embedding weather related widgets to DashHub. For this, you can try these twosources: https://widget.airnow.gov/ and https://embed.windy.com/Do you have other interesting applications you’d like to share with the community? Comment below! 

Sometimes when upgrading TrendMiner, it looks like nothing is happening after clicking Start Upgrade or after the file upload has completed.Below are the most common reasons why the upgrade might not start — and how to fix them: 1. Corrupted Upgrade PackageIn some cases, the upgrade package can get corrupted during download.It will appear to upload successfully, but the upgrade never starts.You can verify the integrity of your package by following this article:If the checksum doesn’t match, re-download the file before trying again. 2. Wrong Upgrade Package (pre-2024.R3.1 versions)For older TrendMiner versions, there are two different upgrade packages: MLHub Non-MLHub If you upload the wrong package type, the upload completes but the upgrade won’t start.Make sure to select the package that matches your license type (Basic or MLHub).💡 Starting from version 2024.R3.1, there’s only one unified upgrade package — no more confusion! 3. Network InterferenceIf you’re running the upgrade from

In this article we'll dive into a worklow to create a multivariate parallel coordinates plot that can be filtered by time and calculations. In this specific image, we're looking at the hourly averages of measurements (Power, in and outgoing: flow, temperature, pressure) of a Sales Gas Compressor unit Workflow 1. Import time-tags as DISCRETE (I'm attaching the .csv file for Europe - Brussels, let us know if you need another timezone in the comments!). This action only needs to be done once. Once imported, the tags will be available for all users. 2. Pick the desired Context period on the bottom of the focus chart in TrendHub 3. Add the relevant tags to your process and the imported [t]HOUR, [t]DAY, [t]MONTH and [t]YEAR tags from step 1. 4. Do a Value based search to look for the condition when the hour-tag was constant: 5. Add Calculations that relate to the process you'd like to understand better. Typically, having the average of all other relevant tags should be a good starting point

Hello! 👋The recording of our September 2025 live training DashHub – Create a Control Center of your Process is now available! 🎉DashHub is your central control center where you can keep track of multiple aspects of your process. Learn how to create a personalized dashboard to count specific events, analyze their distribution over time, monitor the current values of your key process variables, and visualize their correlations. In addition, you can enrich your dashboard by embedding external content for example, a process flow diagram that provides extra insights and enables an even more comprehensive view of your plant.Recordings:🇩🇪 German🇬🇧 English Have any questions? Write them in the comments below 😊 

Sometimes TrendMiner Support may ask you for a HAR file (HTTP Archive). This file records the network traffic in your browser while you reproduce an issue. It helps us investigate any network-related issues.Below you can find an explanation on how to generate the HAR file depending on which browser you are using.Chrome/Edge Press F12 or ctrl + shift + I (Windows)  or cmd + option + I (Mac) to open Developer Tools. Click on the record button on the top left (red circle) in the below example screenshot (record network log). Make sure the ‘Preserve log’ (blue rectangle) option is enabled. Recreate the issue in TrendMiner. Click on the download button (green circle)   Mozilla Firefox Open Firefox. Press F12 or ctrl + shift + E to open the Network Monitor. Click the trash/bin icon to clear any old entries. Reproduce the issue in TrendMiner. Right-click anywhere in the list → Save All As HAR.  Once the HAR file has been exported, it can be uploaded through a ticket or e-mail.

💡 Did you know you’re already saving money every time you use TrendMiner?When most people think of TrendMiner, they think about the insights and optimisations it enables for specific use cases. But here’s something many overlook: the software itself is already delivering value from day one. 🔎 How?Every search, every analysis, and every dashboard created in TrendMiner saves time compared to traditional methods. Less time spent digging for data = more time focusing on decisions that matter. 📊 Turning time into numbersWe’ve started calculating what this means in real terms: 🖥️ Every TrendMiner session saves you time that would’ve been spent digging through data the old way. On average, that’s about €40 saved per session (based on ~5% of an engineer’s yearly salary). 🛎 Set up a few monitors? That’s another €1,000 saved by reducing alarm costs and staying on top of your variables. 📊 And those dashboards packed with decision-making info? They can be worth up to €3,000 in savings. ✨

 The old saying “Change is the only constant” couldn’t be more true for the TrendMiner platform. With every release, TrendMiner introduces new functionality—driven by valuable feedback from our end users. Each release brings enhancements and fresh capabilities, but with progress comes a natural challenge: the knowledge gap. Users may not always be fully aware of the latest features, or how to best apply them for maximum value.Here are three ways organizations can ensure their teams stay current and continue to extract the most value from TrendMiner:Continuous Learning Build a culture of ongoing learning by incorporating regular knowledge sessions into your team’s cadence. Focus each session on one or two features, ensuring that the team not only learns about them but also understands how to apply them in daily work. Feedback and Knowledge Sharing Sessions Your CSM is one of your strongest advisors. Schedule quarterly sessions with them so they can hear direct feedback from end users. T

My colleague ​@Charlotte  recently shared a great post highlighting various ways to use the TrendMiner Home page. Since then, one of my customers identified a specific use-case that I would like to share here with you:Standardizing Tag Naming Conventions (e.g., Aggregations) in TrendMinerThe Home page can be used to communicate your organization’s preferred naming conventions for newly created tags. Following a consistent naming standard helps ensure that tag names are easily recognizable, making it clear to everyone what type of aggregation each tag represents. Using consistent naming conventions for new tags can have a significant impact as it allows users to easily reuse work already done by others.

If you notice a discrepancy for a specific tag between the data in the historian and in TrendMiner, one of the first troubleshooting steps is to reindex the tag.Reindexing will remove all existing index data for the tag and fetch fresh data directly from the historian.To do this you can follow the steps outlined below: Make sure your account has the Application Administrator role: TrendMiner Admin Roles Open the Index Manager Index Manager & Performance Overview Search for the tag Enter the tag name in the search box. Choose your preferred option. (see screenshot) Bin icon: Deletes the complete index for the tag. The tag will be reindexed automatically the next time it is used. Circular arrows: Deletes and immediately reindexes the tag, without waiting for it to be used.  

BackgroundInterpreting time-series data at a glance can be challenging, especially when process experts need a quick update on what’s happening in their plant. Instead of scanning raw trends directly, it’s often more effective to use a dashboard that highlights key incidents and events. With TrendMiner, dashboards can be configured to automatically track setpoints, rapid process changes, error codes, and much more, providing immediate insights without the need for manual data review. As an example, we will set up a productivity tracking system to monitor sulfur production in a sulfur recovery plant.Sulfur recovery plant dashboard. Workflow1. Set up monitoring on interesting sensor data2. Create a new ContextHub view with corresponding filters3. Add a Gantt-chart tile on a dashboard.4. Configure new Context Types (Optional; Admin rights)--------------------------------------------------------------------------------------------------------------------------------------------1. Set up mo

 BackgroundTrendMiner provides a set of Time/Date Tags by default with installation. These tags deliver time and date information directly from the system – independent of any process data – and are available for all time zones: TM_hour_* – Hour of the day TM_day-* – Day of the month TM_month_* – Month TM_year_* – Year Time/Date Tags in TrendMinerTime/Date Tags for all time zones in TrendMinerThey allow for precise configuration of searches, calculations, or monitors tied to specific moments or recurring time patterns – think daily reports at a fixed time or tracking values at the beginning of each month.For full details, see the User Guide. 🎓 Deep Dive & Training ResourceWant to go further? Check out these advanced trainings for practical, hands-on examples: Mastering Tag Types in TrendMiner – Tips, Tricks & Hands-On Exercises (Exercise 3) Event Analytics in Action: Gain Deeper Process Insights (Exercise 2)  🌟 Community Inspiration – Related PostsHere are great examp

We're seeing a clear shift:🛠️ Customers are now applying TrendMiner not just for production, but increasingly for utilities like steam, cooling water, HVAC, and especially cleanrooms. Why Cleanroom Monitoring?💡 Cleanrooms can account for up to 50–75% of total facility energy demand💨 Inefficient operations & redundancies: air systems often run at full power - even when not needed⚠️ Energy peaks are detected too late📋 Compliance pressure (GMP, ISO, FDA) Key Challenges: Tons of data, but too few insights• 🐌 Root-cause analyses remain time-consuming• 🚫 Limited live monitoring & alerting• 🧱 Data silos block collaboration Smarter Monitoring with TrendMiner💡 No-code time-series analytics: data-driven decision-making cuts analysis time from days to minutes📈 Analyze years of historical data in seconds to spot trends and inefficiencies🔍 Real-time insights into asset performance and critical parameters like airflow, temperature, pressure, and particle count⚠️ Detect anomalies &a

Why is a disaster recovery checklist necessary?Even on a stable system, the following risks always exist: Failed upgrades Corrupt virtual machines Hardware crashes Human error Preparing for these scenarios now will save significant time and stress later. Recovery essentials:VM Snapshot Best to set up a daily or weekly snapshot schedule. Always take an extra snapshot before any major configuration change or upgrade. Snapshot includes full system state (OS, TrendMiner, configurations, etc.) Easiest way to recover. Remote Full Backup (Documentation full back-up) Best to set up a daily or weekly remote back-up schedule. Stored on cloud or local S3 storage. Includes database, index data, and basic system configuration. Also easy to recover from disaster. Local Database Backup (Documentation database back-up) Always take this before a major configuration change or upgrade. Download outside of the VM. Does not include index data, system configuration, PMML models, etc.

I am making this post to create some more awareness about the upcoming Solution Training at TrendLab 2025.In this workshop aimed towards more experienced TrendMiner users, you will learn to use TrendMiner as a platform for building custom solution packages. Throughout the training, you will follow our solutions approach to set up Overall Equipment Effectiveness (OEE) KPI reporting on one of your own batch or continuous processes. Our team of TrendMiner experts will then guide you through the steps of:Capturing production events (batches, operating periods, …) with a monitor in TrendMiner, and collecting them as context items in a ContextHub view Setting up a Python function that loads the context items from this ContextHub view, and writes loss data to their context fields Capturing regular periods (weeks, months, etc.) as context items with another monitor Setting up a second Python function which calculates the availability, productivity, quality and OEE parameters for these regular

In this example we will embed an interactive HTML page located in a Google S3 bucket into a TrendMiner Dashboard tile.  1. Get Your HTML File Ready:Make sure the HTML file (example.html) is self-contained: Don’t use any server-side code like PHP Keep all JavaScript and CSS either inline or linked via relative paths (no external dependencies that require a web server)  2. Upload to a Google Cloud Storage Bucket:You can do this directly in the Google Cloud Console: Choose an existing bucket or create a new one Upload your example.html file  3. Make the File Public (for testing or sharing):Once uploaded: Click the bucket Go to the Permissions tab Click “Add principal” Add AllUsers as principal Apply the Environment and Storage Object Viewer role Save Important to note here is that this will make the dynamic HTML available to anyone. For sensitive data, a more secure solution should be used. You can for example host the dynamic HTML on an internal server only accessible thr

Do you have a timeseries connection to an Aveva PI historian? Are you connecting to the PI data archive using TrendMiner’s ‘PI data archive (PI AF SDK)’ provider?If that case it could be worth checking if you have connection pooling enabled.  What is connection pooling?When connection pooling is disabled, each TrendMiner data request will create a new connection to the historian. When the data is received the connection is closed again. When connection pooling is enabled a connection will be set up and multiple requests will be sent over that same connection. Why should I enabled connection pooling?Setting up a new connection causes some overhead, and hence delay in the data responses. Since TrendMiner does a lot of data requests (up to 5k requests per minute or more) the overhead of setting up this connection can be significant. Enabling connection pooling reduces this overhead significantly and therefor can lead to high performance improvements in fetching tag data (used for indexing

Produced batches often need to meet specific quality criteria depending on the product grade. In TrendMiner, dashboards can be used to monitor the different types of batches produced. For example, batches can be categorized by parameters such as product grade or quality. This provides a clear, real-time overview of how many batches of each category were produced over a user-defined time period. As an example, we’ll use lab quality data from a polymer production process. The plant produces three different product grades, and quality is evaluated based on viscosity measurements. WorkflowCreate a new ContextHub view Add a ContextHub counter tile Repeat for multiple trackers 1. Create a new ContextHub viewThe content of a ContextHub list can be customized using a variety of filters. Common filter options include time period, fields, tags or assets, types, and keywords. For our specific case, we are going to select:Period filter: Event open in range from 01/01/2018 until 01/01/2020 Field fi

Trying to assign more than 8 vCPUs to your TrendMiner virtual appliance on ESXi and running into a hard limit? You’re not alone—this usually comes down to a few ESXi-specific settings and limitations. Here are the main reasons you might be hitting that cap: ESXi Licensing LimitsIf you’re using the free version of VMware ESXi (vSphere Hypervisor), you’re limited to 8 vCPUs per VM. Upgrading to a paid vSphere license (e.g., Standard or Enterprise Plus) is required to go beyond this limit. VM Hardware CompatibilityThe virtual hardware version of your VM can also restrict the maximum number of vCPUs. Ensure that your VM is configured to use hardware compatibility version 7 or later.You can do this by editing the VM settings or right-clicking the VM and selecting:“Compatibility > Synchronize hardware compatibility with host”More details are available in the VMware documentation. Host CPU CapacityLastly, your physical host must have enough logical cores available. ESXi won’t allow you to

Hello! 👋The recording of our July 2025 live training  Event Analytics in Action: Gain Deeper Process Insight is now available! 🎉🎥 Watch now to discover how to:🔹 Analyze batch processes by product type🔹 Identify patterns in continuous operations using the TM_day* tag🔹 Detect key process events🔹 Compare performance across different production days🔹 Turn raw data into actionable insights for optimizationRecordings:🇩🇪 German🇬🇧 EnglishSlides:🇩🇪 German🇬🇧 EnglishHave any questions? Write them in the comments below 😊