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Use Cases

On this page you can find what TrendMiner could mean for you. Below we have listed use cases that we have seen with our customers. In order to finetune the list to your company needs, you can filter down using the selections on the column to the left.

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Capture knowledge based on manual input from subject matter experts

Process information is often captured in a siloed approach of different departments. TrendMiner allows you to catch and capture this information from multiple users in one single environment connected to the relevant process data. This allows to combine information from operators, process technologysts, maintenance engineers and others. Advanced search and filter capabilities enable the use of this information in order to use this as cornerstone of your continuous improvement processes.

Batch process Continous Process Grade Knowledge

Have your control room staff actively learn from decisions and events in the past

Contextual information is crucial for a continuously improving manufacturing operations organization. However, this information often is stored manually on paper or, more sophisticated, Excel sheets. Searching in this information often is hard or even impossible. TrendMiner allows you to catch and capture this information in one single environment connected to the relevant process data. Advanced search and filter capabilities enable the use of this information in order to use this as cornerstone of your continuous improvement processes.

Batch process Continous Process Grade Knowledge

Share analyses of interest with other process stakeholders without the need to transfer files

Include a TrendMiner URL in emails or analysis reports, that allows to open a view of interest in one click.

Batch process Continous Process Grade Reporting

Compare time periods to understand differences in behavior

Comparing behavior between an anomaly and a normal operating period can be a painful process. TrendMiner uses avanced search and diagnostic capabilities that allow you to compare a large number of transitions focussing on both equalities and differences. This results in faster and more acurate analysis of your continuous production process.

Batch process Continous Process Diagnostics Exploration Grade

Compare batch runs to understand differences in behavior

Comparing different batches can be a painful process if you try to understand why two batch runs of interest behaved differently. TrendMiner uses advanced search and diagnostic capabilities that allow you to compare a large number of batches focussing on both equalities and differences. This results in faster and more accurate analysis of your batch process.

Batch process Diagnostics Exploration

Gain immediate access to the most recent transitions of a given type

Save time by configuring TrendMiner to automatically list all recent transition of a certain type.

Exploration Grade Reporting

Gain immediate access to the most recent batch runs from a given product

With TrendMiner’s capabilities to search for batches, users get access to a list with all batch runs that of interest to them.

Batch process Exploration Reporting

Create a golden transition profile in minutes

Use TrendMiner search features to find the best transitions of a given type, and easily compile a golden transition profile from multiple historical transitions for monitoring purposes.

Exploration Grade Preprocessing

Reduce downtime related to proof tests

Period proof tests of safety instrumentation (in particular safety valves) can be expensive. Historical data may be used as evidence that safety critical systems are still working (proof sufficiently low probability of failure on demand). TrendMiner facilitates rapid retrieval of historical data episodes that may be used to replace actual proof tests.

Batch process Continous Process Exploration Grade Preprocessing

Create a golden batch profile in minutes

Find the shortest batch runs of a certain product, and easily compile a golden batch profile from multiple runs for monitoring purposes.

Exploration Preprocessing

Monitor deviations from golden transition profiles

Want to get an email every time a process transition deviates from its golden behavior? TrendMiner supports engineers in configuring their own alerts to make this easy. Just click the link to see what went wrong.

Alerting Grade

Monitor deviations from golden batch profiles

Want to get an email every time a batch run is produced that deviates from its golden batch behavior? TrendMiner supports engineers in configuring their own alerts to make this easy. Just click the link to see what went wrong.

Alerting Batch process

Display batch progress and likely evolution in the control room

With TrendMiner fingerprints and predictive mode you can show the progress of the current batch, the reference behavior (golden batch) and the most likely future evolution of the current run, all on a single display.

Batch process Predictive

Display transition progress and likely evolution in the control room

With TrendMiner fingerprints and predictive mode you can show the progress of the current process transition, the reference behavior (golden transition) and the most likely future evolution of the current transition, all on a single display.

Grade Predictive

Monitor deviations between a process / equipment model and actual behavior

With TrendMiner monitoring and calculations, it becomes easy to monitor for deviations between the actual process behavior and a mathematical model of the reference behavior (soft sensor, first principles, etc.). Detect when your models need updating, or in which circumstances there predictions are not reliable.

Alerting Batch process Continous Process Grade Predictive

Follow up your processes live as they progress

TrendMiner supports live displays so you can keep a view on your process as it evolves. It not only trends your process values but also is able to predict the most possible evolution of these values in the future based on matching these on historical values.

Batch process Continous Process Exploration Grade

Compare process events to understand differences in behavior

Engineers often need to compare process events to understand their differences better. TrendMiner makes this task easier, leading to significant time savings and improved diagnosis

Batch process Continous Process Diagnostics Exploration Grade

Automatically receive notifications for process events of interest

TrendMiner can alert you when a process situation of interest occurs, so no precious time is lost and problems can be remedied early.

Alerting Batch process Continous Process Grade Knowledge

Generate shift and daily reports

With TrendMiner shift and daily reports can be automated. Shift reports help improve communication between coworkers or team members, and they ensure proper execution, control and oversight. Managers use shift reports to pass information about proceedings that take place during a specific shift to others. These communications help those on sequential shifts assess work that was completed and determine how to proceed. Those reviewing shift reports can also ask questions related to work status, and they can pursue clarification for tasks performed.

Examples:

Shift reports contain specific production information and kpi’s but, even more important, contains the essential contextual information that is required for follow-up. TrendMiner enables searching and selecting for specific events based on this contextual information. You can quickly find maximum, minimum or average values of tags over certain periods without the use of an external Excel report.

Batch process Continous Process Grade Knowledge Reporting

Understand valve oscillation problems

TrendMiner helps to identify the onset of process oscillations and similar instabilities.

Examples:

“When did this valve start oscillating? In which situations does it typically oscillate?”

“When was the last time we were seeing a similar instability in our steam reformer?”

Batch process Continous Process Diagnostics Exploration Grade

Compute statistics of process events

Save time by getting immediate insight into statistics for selected process events.

Examples:

“What is the duration distribution of the cooling phase?
Does dryer fouling actually occur faster after the most recent shut-down?”

Batch process Continous Process Exploration Grade

Assess the impact of a process problem of interest

With similarity search, it becomes easy to understand the impact of a process problem more objectively. TrendMiner provides immediate access to all instances of similar behavior, with summary counts per day, month, etc.

Examples:

“How often do we see these pressure drops in our hydrogenation process?
How many times did the isomerization temperature raise above the safety limit over the last five years?”

Batch process Continous Process Exploration Grade

Compare behavior before and after a process change

Engineers often need to compare process behavior before and after a process or procedure change was implemented. With TrendMiner, finding, overlaying and analyzing these change points can be done much more efficient.

Examples:

How do these second generation batches compare to historical batches of the same product?

Batch process Continous Process Diagnostics Exploration Grade

Diagnose process problems

The combination of TrendMiner discovery analytics (search) and diagnostic features opens up new ways to analyze and diagnose process problems of interest.

Examples:

“Engineers in a metal process wonder why the duration of the filtration step the process has increased compared to two years ago. TrendMiner (similarity search, scatter, comparison) was used to help finding the cause of this problem in the preceding leaching phase.”

“Where lies the origin of low pH values in this pumping station, causing violations of the aggressive CO2 norms?”

Batch process Continous Process Diagnostics Grade

Protect operating windows of interest

If a process does not stay within certain operating windows, equipment may be subject to stress or performance may be suboptimal. You can now protect your operating windows with TrendMiner by easyly defining process regions with value based search based on several logical statements. Set up monitoring alerts to warn when these process regions occur.

Examples:

“Detect when a process enters a multivariate operating regime that indicates the catalyst could be worn out.”

“If we can build monitoring schemes around all individual parts of our process, we should be able to ensure the stability of the overall process. That’s what Industry 4.0 means to me.”

Alerting Batch process Continous Process Grade

Compare behavior before and after an equipment replacement

Often times, engineers want to compare process behavior before and after it was replaced. TrendMiner makes this type of comparative analysis easy using for example event frame search, easy time navigation, visually and statistically comparing overlays, and more.

Examples:

“By comparing the evolution of the transfer coefficient of a heat exchanger prior to and after its replacement, the efficiency gain may be quantified”

“TrendMiner may be used to understand how the installation of new sieves impacts production in a paper and pulp process.”

“What is the effect of using new mixers in our reactors?”

Batch process Continous Process Diagnostics Exploration Grade

Bookmark all instances of a given behavior in one click for fast future reference

Specific situations in the production process require different treatment when analyzing data over longer periods of time. TrendMiner annotates behaviors of interest for easy future retrieval. This can be done for each single situation, for similar events using event frames or for similar behavior over a longer period of time using batch processing.

Examples:

“Annotating my test runs makes it possible to easily find them back for analysis and comparison later on.”

Batch process Continous Process Exploration Grade

Understand evolution / aging of plant

TrendMiner similarity search and comparison analysis features can help to obtain a better understanding of the evolution of plant behaviour may be obtained.

Examples:

A process engineer at a chemical plant wanted to understand whether the plant responded similarly to a particular load change than last time. With TrendMiner, he could easily find back periods where a particular load increase / feed change happened, or periods with a certain amount of catalyst and amount of substrate. He then proceeded to verify whether the behavior of key reflux, temperature and differential pressure measurements had evolved over time.

Batch process Continous Process Diagnostics Exploration Grade

Systematically analyze and label production losses, downtime events, or periods of high energy consumption

Production losses or periods of high energy consumption can be detected and listed automatically. After annotating them with their cause daily/weekly/monthly reports on Overall Equipment Efficiency (OEE) or energy consumption can be created.

Examples:

A chemical company was tracking and labeling energy losses in an Excel spreadsheet. Importing, processing and analyzing the data was a manual and time consuming task. With TrendMiner, they now receive alerts when energy KPIs (steam flow, water usage, gas, electricity consumption, N2 usage, etc.) deviate from their best demonstrated rates. The events are analyzed and annotated directly on the corresponding process trends, leading to time savings and a more accurate loss picture.

Alerting Batch process Continous Process Exploration Grade Reporting

Monitor for complex process problems

Alarms and warnings from your process control system are in moste case univariate. TrendMiner allows you to do multivariate analysis of your processes and configure alerts when process problems of interest occur.

Examples:

“We recover energy from our wastewater to heat the main process stream. When both flows are equal, no extra steam should be needed. TrendMiner warns me when the steam valve is opened in such situations, indicating fouling of the heat exchanger.”

Alerting Batch process Continous Process Grade

Detect process problems of interest early

Configure early warnings for problems of interest. Setting up early warnings for several relevant instances enables the process engineer to immediately counteract every anomaly. This leads to better process performance since no upset goes unnoticed.

Examples:

“We recover energy from our wastewater to heat the main process stream. When both flows are equal, no extra steam should be needed. TrendMiner warns me when the steam valve is opened in such situations, indicating fouling of the heat exchanger.”

Alerting Batch process Continous Process Grade

Find best alarm settings to prevent a process problem from happening again

TrendMiner makes it easy to find repeated instances of process upsets. This can help to configure meaningful alarms to prevent problems from happening again.

Examples:

“Last week, we had a smoldering fire in our plant. Using TrendMiner’s similarity search, I found back four comparable upsets over the last three years, which was confirmed in the operator logs. Based on an overlay of the resulting periods, I could easily determine the appropriate alarm limits to prevent this from happening in the future.”
“Verify whether interlock condition is met”

Alerting Batch process Continous Process Exploration Grade

(In)validate hypotheses on assets and process

Many decisions are still taken based on gut feelings of experienced engineers. TrendMiner helps in objectifying decisions by providing easy access to process data of interest, and making comparative analysis easier than ever.

Examples:

“I assumed that a broken valve caused problems in our production line. A quick comparison between the current situation and a historical time period with comparable setpoints instantly revealed a large difference in the valve opening. I only had to mail the trends to our maintenance department to have the valve replaced.”

Batch process Continous Process Diagnostics Exploration Grade

Preprocess data for APC modeling projects

With TrendMiner, preprocessing data for APC modeling becomes easier. For instance, steady state data and step responses of interest may be identified. Data can be exported for further processing in other tools.

Examples:

“After the plant tests for the design of a new APC controller, an additional manipulated variable was added. With the help of TrendMiner, I was able to find the data to include this variable in my model without the need for new plant tests.”

Batch process Continous Process Exploration Grade Preprocessing

Predict future evolution of a process situation that is currently unfolding

TrendMiner predictive mode offers the first model-free predictive analytics solution for process data. Predict future evolution of batch runs, transitions, or continuous operation without the need to create and train predictive models.

Examples:

“When operators feel that the process is degrading, we use the predictive mode to check how similar process conditions have evolved in the past. This way, unnecessary maintenance stops can be avoided.”

“We guide our operators based on predictive mode. It gives them an understanding of the most likely future evolution of the current batch, as well as actions taken on similar batches in the past.”

Alerting Batch process Continous Process Grade Predictive

Shift logbook

TrendMiner Capture can be used as a logbook for operators in the control room. Due to its connection to all other parts of TrendMiner a information flow between process engineers and operators is enabled. This leads to maximized utilization of all information gathered by plant personel.

Examples:

“We use TrendMiner Capture as our shift logbook. It supports annotation types, custom views, shift handover reports, etc. Logbook events are linked to the asset hierarchy and can be displayed directly on the charts when relevant.”

Batch process Continous Process Grade Knowledge Reporting

Facilitate the communication between maintenance, operations and the process specialist

TrendMiner improves the spread of know-how in your production facilities. Stakeholders with different roles can communicate about process events directly within TrendMiner. Combine findings from process engineers with maintenance status informatin and input from panel operators to create a full picture of your operations.

Examples:

“We guide our operators based on predictive mode. This means we show the most similar batches to the current batch, with annotations of operator actions. In this way we are able to transfer knowledge gathered at similar cases in the past to the group of people that is working on the process today. This enables fast an reliable communication between operators but also other stakeholders at the production process.”

Batch process Continous Process Grade Knowledge Predictive

High Performance / Rapid Fire Trend Client

Are you tired of waiting for minutes until a chart of your historian data renders on the screen? TrendMiner is a next generation trendviewer that can speed up data exploration tasks.

Examples:

“TrendMiner’s performance has made it our primary trending tool”

Batch process Continous Process Exploration Grade

Reduce time lost for filtering and processing historian data in Excel

Many engineers pull significant amounts of historian data into excel for filtering, preprocessing, and further analysis. With TrendMiner, selecting and filtering data directly on top of the historian becomes fast. And if you do need to continue work in Excel, you can export your data.

Examples:

“For analysis of our daily volumes we need to filter our data and export to Excel. TrendMiner enables us to filter specific timeframes easily so we get the right data for our analysis within a couple of clicks.”

Batch process Continous Process Grade Preprocessing

Find all product switches of a given type

With TrendMiner step search, it becomes easy to identify and visualize product switches of interest. After finding back relevant periods, they can be easily overlayed on a single chart. This may lead to significant time savings and improved insight in the bahavior of specific switches.

Examples:

“A pressure increase in the conveyor system was experienced when producing a specific product. It was unclear what caused the increase. It took a long time analyzing the problem with conventional tooling, scrolling back and forth in time. With TrendMiner the specific product switches could easily been filtered, showing only relevant information and being able to find the cause of the problem.”

Exploration Grade

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