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I wish to create dashboards for all our plants (13 of them). I would like each dashboard to have a series of associated components for each of the major process units in the plant (anywhere between 10 to 30 major process units per plant): For each process unit, create:TrendHub view with the charge rate in comparison to limits and or planned rate (3 or 4 known tags from different connected data sources). Specify aliases for each plot line - save in a shared site\unit folder Value-based search for unit downtime. Search entire available history and exclude downtime periods + set a context item on the unit charge rate tag - save in a shared site\unit folder Dynamic filter based on the above value-based search - save in a shared site\unit folder Apply this dynamic filter to the TrendHub view Context view for the context items defined with the value-based search - save in a shared site\unit folder Monitor based on the downtime value-based search and add context Once this is created for all m

We are currently using the trendminer‑interface SDK  to create and populate custom tags (e.g. predictions / calculated KPIs). During implementation and testing, we have identified a major limitation that becomes critical at scale.When using: client.io.tag.save(tag_data_dict, index=False)to write data to an existing tag:Saving a new dataset overwrites existing historical data for that tag. It is not possible to append new time‑series data to an existing tag. Writing data for a new time range clears previously uploaded history.Although the documentation refers to this operation as an “update”, the actual behavior is a full overwrite of the time series, not an incremental append.Why this is a problem?Because appending is not supported, every  update would require:Re‑uploading the entire historical dataset for each tag Maintaining full history externallyThis leads to:Significant performance and bandwidth overhead Long execution times High operational risk (partial uploads or failures can w

If you’ve attended one of our VILT TrendMiner trainings, you’ve probably seen a popular workaround: creating a daily aggregation tag that looks discrete (a clean stepwise plot) and updates once per day at midnight. You may have also seen Natasha’s post where she discusses how to build the stepped daily tag.This is a simple but powerful technique when you want a tag that reports something like: Daily average Daily total Daily max/min Daily standard deviation Any other 24-hour aggregation you want to visualize as a “daily value” In training, we typically build this so the tag updates at midnight. But recently a user asked a great follow-up: can we build a similar tag that steps at a certain hour of the day instead of midnight?Good news! You can do this with a small modification to the same workaround. In this post, I’ll walk through this modified approach that lets you step your daily aggregation at the hour to your liking. Step the daily aggregation at 7:00 AM (or any hour)In th

I am looking for an advice.We have a SQL Server database that records the various compositions of the daily raw feeds to upstream units for each of our plants. The data is therefore by definition time-series and indexed by plant, unit name and raw feed type with a value of volume/day.Because these data items are related, there would be a natural fit with context items and fields.. They could also be ingested as individual tags with a unique naming convention by plant, unit, raw feed type.Our primary objective is to troubleshoot and perform root cause analysis for issues observed on downstream units based on the various daily raw feed blends. This definitely involves time shifts and also value-based searches + event analytics.Even though the data is naturally organized as event frames or context items, I am inclined to prefer ingesting this data as individual tags to enable diagnose/cross-correlations, event analyses and possibly fingerprint, unless there is something I am missing with

Dear AllI’ve already deployed the pmml in MLHub but when its success. There’re no ML Tag for creation in Trendview. Does anyone found same problem?

cant sign in to trend

Hi everyone'sI’m the beginner use python for ML, Please help me i can't connect View_ID. the error massage show code 404  how can i do.

We have a SQL database that continuously collects equipment downtimes along with associated characteristics/properties including, obviously, start and end timestamps. Being able to view these as context items and perform analyses against historian tags that are already accessible as other data sources in Trendminer would be very valuable. Is it possible to:1- Import existing event records from SQL Server in Trendminer as Context Items2- Establish a connection to continue to collect these moving forward?

Simple, possibly stupid question: If I want to have a linear regression of a single tag e.g. BA:TEMP.1 against time, how do I do this?

Dear all, I would like to display the downtime (in minutes) of one machine in a DashHub view. I created a Gantt chart that helps me quickly identify downtime on the line and the related root causes. The goal for the operator is to keep the number of events as low as possible. Similarly to the Event Count, I would like to have a count of total downtime (in minutes). Since the counter only seems to count ContextItems, I considered creating one ContextItem per minute whenever the machine is stopped. However, I’m not sure how to create a tag that tracks minutes, and I’m also wondering if there is a better approach.

We are upgrading to R4 and want to take advantage of the ability of sharing folders with groups for published/official applications in addition to having personal folders.We have 13 plants and likely 15 process equipment type folders per plant which is what we are planning to use for hosting the applications. This adds up to approximately 200 folders to createI do not seem to be able to create a set folders for a plant to make a bulk copy and paste into another plant. Am I missing something or is there a way to do this?

Hello,  I want to create an if formula that returns text instead of a number, like this: if(a=1, “Phase 1”, “Phase 2”) When I try I get an error message but I’m not sure if it’s because it’s not possible or just the writing nomenclature.  Thanks! 

 Collaboration is at the heart of successful industrial analytics. Over the past year, TrendMiner has transformed how teams share and manage their work, evolving from simple read-only sharing to a comprehensive collaboration suite. This article walks you through these improvements and shows you how to leverage them for more effective teamwork. The Journey: From Simple to Sophisticated Before 2025.R2: Read-Only SharingInitially, TrendMiner allowed users to share individual work items with read-only access. While this enabled knowledge sharing, it had limitations: recipients could view analyses but couldn't contribute or modify them, making true collaboration difficult for teams working across shifts or locations.2025.R2: Write PermissionsThe August 2025 release marked a significant milestone by introducing Write Permissions. Users could now grant colleagues write access to work items, enabling multiple team members to actively collaborate on the same analysis. This was particularly valu

 I could make a workaround, for example by doing the division in the same tags as the summation. But just wondering.