Contextualize
Make better decisions, faster
All kinds of events may impact operational performance. Capturing and combining critical events with time series analytics will shed new light on production processes. This context helps shift performance to the next gear. By illuminating time series data in order to better understand it within its context, process experts can get a clear view of operational behavior.
Capture events of interest
All events automatically captured or manually entered can be managed as context items in TrendMiner’s ContextHub. With use of fingerprints and monitors, the context items can be captured and help speeding up the search and filter actions in time-series trend data.
Context items allow commenting for discussion with internal experts to facilitate global collaboration and knowledge sharing.
The context items can be classified by type and each could have specific notifications for control room personnel to take appropriate action.
OSIsoft PI Event Frames Integration
TrendMiner’s integration with OSIsoft Asset Framework, enables out-of-the box access to both historical and new Event Frames for OSIsoft PI System users and others. These ecosystem synergies give OSIsoft customers a much easier way to gain access to Event Frames information, click through the related information, and kick-start their discovery and diagnostic analysis to continuously improve operational excellence.
Learn how to apply OSIsoft PI Event Frames for Batch Analytics or for Continuous Production
LEVERAGE DATA FROM YOUR BUSINESS APPLICATIONS
As the digitization of organizations continues, more business-critical information sources are available, but often remain in silos. TrendMiner’s ContextHub brings all this information together in its self-service analytics platform, enabling true data-driven decisions for improving overall profitability. Engineers can see which plant assets experience the most downtime, by easily gathering available data and analyzing the worst performer, allowing decisions to be based on data and reducing the reliance on a best guess.
Smarter Analytics through Contextualization
Being able to search for context items gives users the power to actively employ gathered context as part of the TrendHub analysis itself. Through saved ContextHub views users can visualize, filter or overlay time periods in TrendHub. In this way context items become a rapid starting point for trend analysis, and facilitates filter requirements through all-time series data. This effectively speeds up root cause analysis or if needs be, create new fingerprints and monitors which can be used to send notifications to the control room and adjust process parameters when necessary.
Watch How To
Benefit of Combining Time-series Sensor Data With Contextual Data
Practical Use Case
Create and use context to accelerate performance
Bring all
operational data together
Contextual process performance information can result from events captured through TrendMiner fingerprints, manual entry of events, or data residing in other 3rd party business applications. Using the asset structure in combination with all this data gives a new view on operational performance. Now, events can be used to start analyzing operational performance.
Analyse bad actors
(quality, asset health, etc.)
Some events can trigger a notification. Others are not severe enough, but the events are logged in the system anyway. When smaller events occur more frequently, it may signal the starting point for a deeper analysis. Events with additional comments from controllers via the in-box may also give cause for a deeper analysis of the situation. Optionally with use of specialist in your organization on a remote site.
What was the root cause?
It’s clear now that the temperature spiked more than once. What caused it? Process engineers can use TrendMiner to find out. Our software has two features that suggest possible root causes: influence factors and the recommendation engine. The process engineer can look over the list of possibilities, decide on the likely cause, and take the appropriate mitigation action.
“Process data tells stories – all you need to do is capture them.”
Tim Timmermans
Operational Expert
White Paper
Dive deeper into TrendMiner software with our Key Capabilities whitepaper. In this comprehensive resource, we provide an overview of our industrial analytics solution and how it works. In addition, you’ll get further information about all the capabilities of our software, as well as details about the business applications and data sources with which we offer integrations.
Blog Posts
The TrendMiner Self-Service Analytics Community Meets Again at TrendLab 202131 August 2021 - 13:47
Improving Quality Control: the Cornerstone of Pharma Manufacturing 31 August 2021 - 11:47
The Fertilizer Industry Gains Actionable Timely Insights with Advanced Analytics – Part 1 of 231 August 2021 - 10:16
