Like you probably already knew, it’s easy to create grade-dependent reports with Wedge by using the tabular report feature. You can select any measurements and any time period to create a tabular report based on aggregation criteria like the grade codes. You might also have noticed the limitations of this method: the report only shows the grade-dependent average values of the measurements, and the results can’t be copied for further use.
This problem has now been fixed with an enhanced version of the tabular report feature. The enhanced version enables you to calculate other statistical parameters like the minimum, maximum, and standard deviation values of the measurements.
You can find this and many other additional features on the Wedge User Forum.
Data transfers for greater value from the data
This enhanced version enables you to easily copy the results to other software for further use. This type of data transfer is important in order to get more value from the data and to share the process knowledge. Quite often there seems to be a need to aggregate process data and transfer the results to other systems. This workflow can be automated with Wedge’s DSA system (Data Stream Analysis) described in an earlier newsletter.
Split data reports
With a combination of Wedge’s data filter menu and this enhanced tabular report feature, it’s also possible to create a report where the data is split based on two aggregations at the same time, for example, grade and shift number. This is also a frequently requested feature.
Stay tuned for the latest developments
The Wedge team frequently releases prototypes of potential new features on the Wedge User Forum. So be active in testing them out and giving us feedback. Cooperation will help us implement the best possible features in Wedge that make your daily work easier.
Do you want to know more about wood-based products, technologies, or sustainable forest management?
Have a look at the free Introduction to forest-based bioeconomy at ForestBioFacts website that opened today.
ForestBioFacts is the new digital learning environment for professionals and students in forest-based industries. Trimble Forestry has been part of the content production and one of the main sponsors.
We are happy to welcome you to develop your professional skills in forest-based products and technologies!
Learn more at forestbiofacts.com/
Are you a person with an independent and active approach, problem-solving capability, and a desire to learn something new? And also, is speaking Finnish one of your superpowers?
If yes, you might be the
we are looking for to complement our Support team in Finland.
The UPM Fray Bentos mill began its operations in 2007. Situated on the banks of the Uruguay River, in the country of the same name, it produces bleached hardwood pulp from eucalyptus. This year, the mill decided to procure Wedge to monitor its environment-related actions and also to improve production figures.
“The Wedge process-analysis tool was adopted very quickly and is widely used by all of our supervisors, the technical department, and R&D.”
– Production Manager Miguel Paolino, UPM Uruguay
We are pleased to introduce the latest version of the Wedge data-stream analysis (DSA) system. Fruit of continuous development, it analyzes and synthesizes data streams on third-party system use, all fully automatically, online.
This opens a whole new world of possibilities for utilizing process-data streams. For example, Wedge DSA can be used for automatically monitoring process status, searching events, and vendor-independently communicating Wedge-processed data to reporting and visualization tools. It even enables analyzing data streams from multiple production lines and sites simultaneously, for benchmarking purposes.
The latest DSA enhancements
- A completely new Web-based user interface
- Enhanced calculation and data-stream management
- Auto-recovery functions to deal with broken data streams
- Enhanced monitoring and calculation-based analysis functionality
- Message queue availability for third-party communication
If you would like to learn more about how DSA could benefit you, please contact us, at email@example.com.
We had plenty of experience facilitating online training even pre-COVID-19, so it was easy for us to move into a completely virtual mode. The only major change was that even the Wedge pilot projects with new customers are now handled entirely remotely.
The more intense online training we’ve been using recently has left us even more convinced that shorter, well-focused online sessions are the best way to learn about Wedge. We are also pleased to find that customers agree with us, and they don’t feel the online courses give anything less than traditional on-site ones. Quite the contrary. All the feedback clearly highlights that shorter sessions make it easy to concentrate and that the learning is effective.
Learning by doing
Wedge training sessions are interactive – we believe in learning by doing. So we provide highly hands-on introductions to each session’s themes, and participants complete their own exercises simultaneously. This means that using two displays for our online sessions is strongly recommended.
We encourage active participation in the session: ask questions, make sure you understand what to do, and share your results with colleagues. Most likely, the things you’re wondering about are the same things your colleagues are uncertain about.
Flexibility as the key
For every new Wedge user, we recommend the series of three two-hour sessions covering the basics of usage. For experienced users, the content is always customized in line with needs. Wedge offers the basic hot features, various analysis and diagnostics tools, a calculation engine, delay compensation, and reporting tools. So there is plenty to choose to emphasize.
Also, we are flexible with the meeting platform used. Whatever suits you best is perfect for us. The most important thing is that you learn! We are certain that using Wedge efficiently makes your work easier and you happier, and happiness is a good thing.
The secret of efficient Wedge training
So here’s the recipe for successful learning of Wedge principles in an e-training session:
1) Two displays
2) Two hours undisturbed per session
3) A curious mind and the courage to ask lots of questions
Doesn’t sound too complicated, does it?
OSIsoft is a leading provider of real-time data infrastructure for operational intelligence. OSIsoft is widely used globally in process industry. Wedge is Trimble’s solution for gaining value of industrial data. Wedge is fast online industrial process diagnostics system to make the most of the data that systems like OSIsoft provides.
We all want to make the most from our process data, but occasionally we fail to do so. Check out our list of the 12 deadly sins in the utilization of process data!
Are any of these familiar?
1. Lack of curiosity
Is blind faith in old presumptions about process behavior persisting in your team, or has a large amount of data turned into a scary boogeyman?
Be bold! If you do not or dare not search for anything, you will not find anything either. A curious and bold approach is a must!
2. You can prove anything with facts…
Even Homer Simpson knows that you can prove anything with facts. The same goes for process analysis. If the outcome is already decided and you only need data to prove it, you will surely find ways to do that. A sufficiently large mass of data is like a soft piece of modeling wax that you can mold into the desired form.
Be honest and open when you process data.
Analyses are often jumped into with a good attitude and enthusiasm, but setbacks are encountered right off the bat in the early stages of the process. The reason is often all too human: brimmed with enthusiasm, people fail to thoroughly consider how the problem should be approached and with what kind of expectations. This often results in frustration.
3. What exactly is your problem?
Data is eagerly analyzed without taking the time needed to think about a clearly defined goal. You will surely learn new things about the process this way as well, but the results tend to remain meagre.
Ask right questions. To maximize the usefulness of the results, pause for a while before starting to handle the data and think which question, above all others, you wish to find an answer to. The better the question is delineated, the better your prerequisites for success.
Unlock the power of Wedge for industrial data analytics
4. A strong belief is haunting
Unlike in point #2 above, you are seriously analyzing the data and eager to find answers. Nevertheless, the team’s tacit assumptions may subtly direct the analysis process toward an old conclusion that is presumed to be good.
Dare to experiment with new methods, incorporate new variables into the analysis and keep the set of measurements being studied sufficiently broad. This way, you will ensure that there is room left for new conclusions.
5. There is a magic bullet
A complex set of issues only becomes simple in a populist’s speech. Don’t imagine that data analysis would make any exception to this rule! Even the prettiest data set won’t give you a straightforward answer to everything (or maybe it will, but the answer will probably be useless) – not even with Wedge.
In reality, you will learn more with each round of analysis and approach the solution step by step. Your original question will often be refined along the way and you will eventually get the correct answer, but to the question you have rephrased.
6. Someone else will take care of it
Busy, busy, busy, you are so busy with pushing your moped that there is no time to hop onto the saddle and start the engine. But the world is full of consultants – why not just throw them the data and let them analyze it? That would indeed suit the consultants! On top of it all, you’ll get a hefty bill and a future as a cash cow that can always be billed when you’ve got problems.
Surely you do not want to outsource the understanding of process behavior and process competence? So do not outsource the analysis of process data. It is an important part of your core competence.
7. Who will turn shit into diamonds?
If the data being analyzed is no good, the results will be crap as well. Process data as such is nearly always worthless, but all the same, it is the best raw material that is available. After all, even diamonds are made of carbon.
Use right tool. Data pre-processing is one of the most important steps in the analysis. How do you clean up bad data, compensate for process delays and focus your analysis solely on the desired end product? A tool will help you with this.
If you make compromises with this part, you can forget about the entire analysis. Accept the quality of the raw material and behave in a way that will get you a diamond-like end result.
8. You try to cut corners
In the absence of means, it is tempting to cut corners. Deadlines are pushing and the work proceeds slowly.
Maybe you should choose a limited data set and completely ignore the lab data? You just clean up the data superficially and ignore the delays. You make quick and narrow analyses. You accept that the understanding of causal relationships remains very feeble.
Sorry, but quick and dirty is not enough. Invest in proper tools that allow you to do better and more versatile analysis, and you will really save time.
9. Agonizing death by drowning
There is a lot of data. Tens of thousands of measurements made every second and over several years. The ambitions are high indeed. The goal is clear.
You want to thoroughly clean up your data and take a sufficiently large set of measurements into account in your analysis. You iterate, add measurements to the analysis, refine the angle of incidence, and sweat. The data masses begin to submerge you, and at the same time you notice that the measurement data is not all-inclusive. Nightmares invade the daydreaming.
Use powerful tools to help you dig up the essential data. Analyze the phenomena from multiple perspectives and change direction quickly if needed to ensure that you stay on the right track on your way to your goal.
Better industrial process analytics
10. Simple tools to address complex problems
The quality measurement of the end product bounces up and down. The eye detects periodic variation, but you cannot quantify or detect the root cause.
2D profile data looks bad, but how do you mirror 2D data against the other process data?
Make complex simple. What if the phenomenon you are investigating really is complex? Sometimes you need to take recourse to more robust tools if you want results.
11. Lack of process understanding
Data, data, data. Still, data does not tell you everything, and no one anywhere will ever be able to measure everything. Even at its best, a tool can only suggest candidates for root causes or effects. Machine-learning systems are easy to market as omnipotent, but without the engineer’s process competence, all data analysis is worthless.
The value is in the conclusions, not in the analysis process!
12. Lack of data analysis competence
Even the best process expert will be stumped if he is urged to analyze data without sufficient data processing competence and user-friendly tools.
The better the tools, the fewer magical powers it will take to succeed in analyses! For this reason, we have developed Wedge into a tool that does not require the user to have the skills of a data analyst to obtain results.
Thank you for your interest!
Want more insights?
March 19, 2020
Trimble appreciates the trust you place in us and in our technology every day. In this time of uncertainty due to COVID-19, we want to assure you we are taking all recommended precautions to protect our employees and our infrastructure so that we can continue to provide the highest levels of service to you.
In an abundance of caution, all employees, except those in essential production and service roles that require office or fieldwork, are working from home and we are adhering to government-recommended restrictions on travel. We are taking advantage of the investment we have made in a robust infrastructure of cloud-based collaboration tools so our employees are able to work in a secure and efficient manner to provide you with the highest level of service.
Trimble appreciates your business and together we will get through these challenging times. We will continue to take all necessary steps to ensure the safety and well-being of our dedicated employees and the continuity of the services and technology that support your operations. We are open for business and here to serve you. Please do not hesitate to call on us.
We wish you, your colleagues and your families health and safety.
Trimble will attend to 29th IMPS (International Munich Paper Symposium) to present Wedge, our solution for fast and easy process diagnostics of industrial data. The IMPS is taking place in Sheraton Munich Arabellapark Conference Center March 18 – 20, 2020.
We will have a joint stand with FIPTEC. Stefan Seidenath will be there and he is happy to tell you more about how to improve your industrial plant efficiency with the best data-analytics tool on the market. Looking forward to meeting you in Munich!