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I'm working on identifying the falling and rising edges of the VAL_23-KA-9101-M01:HSI.StatusMotorOn signal. For that and shifting the TS and rest the values, if I get -1 is a falling edge and for 1 it is a rising edge. For the first row it works fine: But I’m also getting a lot of values different than 1 or -1. Especially for more recent years. I guess that the problem is at the aggregating step, since I downloaded the data at a 1m frequency I get not int values for some records. Now, I was trying to download this TS at a 1s frequency, but I get a different number of records depending on the year. E.G. for 2014 I get 34 records for a 10 days time windows with a granularity 1m. If I do the same but for 2020 I get 1411, much more than for 2014, but still a tenth of the expected count. If I change the granularity to 1s, I still get the same number of records, but with more precision in the time stamp: Considering this, is there a recommended granularity to download the data and min
Cognite Data Fusion: ChartsPlanned for development
Celanese - CriticalThe ability to overlay other transactions on time series data or create time series from transcations is necessary when troubleshooting. For example, i might be analysing several time series tag and i would like to plot work order and notification dates and/or other events on the same plot. This will really help us do better Root Cause Analaysis.
Quick Data lookup for Infield line itemsGathering Interest
For line items in Infield, Operations has requested to be able to see what the most recent previous readings for it were to determine if reading is going up or down at a critical rate. Maybe a button on the line item that will quick trend the line items input data. Or just a list of the last inputs. Either way, we need a quick way to get history on these readings.
The Cognite Discover version 1.33 is ready and available.Enhancements Wells feedback Improve data quality by reporting data related issues for wellbores. User can report issue on wellbores card issue card or in well detail page 3D view: casings are clearly displayed along well trajectory and the NPT & NDS events. In the Stick Chart builder, when too many events are present on the same depth, it is easier to explore them using the icon on the scatter view to expand the view of the event cluster. Casing tab has been removed and added as Casings > Detail page in the Stick Chart
InField: Hide measurement reading tag from end userGathering Interest
On behalf of Celanese Units: Acid South, Vinyl Acetate, UtilitiesAs a process expert doing rounds on a mobile device it is not necessary to see the measurement reading time series tag associated to checklist item. It is confusing and takes up space on the mobile device. We can see/find it on trends when we are looking for it, if needed. Need a way to hide by default this when setting up a template or set to hide?
This discussion is linked to the course Cognite Data Fusion for Domain Experts.A data-driven approach to maintenance is more efficient than relying on a fixed schedule or fixing something once it’s already broken. There are plenty of opportunities around us to take advantage of smart maintenance. Look around in your home, your office, or think of your work tasks. Where could data-driven maintenance make a difference?Share your thoughts! For example, explain what data you have available or would need in order to do smart maintenance, and how this would be an improvement of current methods.
Different types of edges connecting nodes in FDMUnder construction
Hi, So far, I have the understanding that you can add edges between nodes, however, not different type of edges.In a watercourse, one would have several hydro power plants, reservoirs, etc.. and different water routes and flood routes connecting these objects (nodes). These connections would be of different type of edges, which seems to be a lacking feature in FDM if I am correct. Having this function available in FDM would be helpful in developing a data model for our water courses :)
InField - Filter on state in checklistGathering Interest
Entered on behalf of Celanese VAM Unit InField SuperuserAs a shift Captain I would like the option to filter for only Not Ok within the checklist before I approve it. I am only interested in reviewing those items and address them as needed. This will save time and human error from scrolling to find the Not OK ones (and see the comments and images attached. You should be be able to filter on any one of the states (e.g. To Do, N/A, OK, Not OK, etc)
We are fetching quite a lot of data from CDF, both raw and aggregated, and we have experienced error messages from Postman and Java requests when the aggregated number of datapoints are exceeding the limit (10.000), but we have yet to experience this for the Cognite Python SDK for raw data (limit 100.000). Is there an error message implemented for this intention? From the code in the SDK in GitHub it appears that if the data is exceeding the limit then it would return an empty list, which is a very dangerous return setting. Best regardsOliver
Do you know what courses are available for you to explore the data from the Open Industrial Data project?Cognite Academy creates e-learning courses with an emphasis on providing hands-on experiences so you can learn to use Cognite Data Fusion through interacting with real industrial data. In most of our courses, the training data we use comes from the Open Industrial Data (OID) project, a live stream of industrial data from the Valhall oil platform. While the data is from the oil and gas industry, it is relevant for all asset-heavy industries as it provides insights into dynamic industrial processes. In this article, I will share a series of CDF & Power BI courses where you can explore the Open Industrial Data and solve a simple use case in Power BI: Introduction to CDF & Power BI In this course, you will connect Power BI to CDF, and retrieve the Open Industrial Data to learn how filtering and aggregation work with the connector in Power BI. CDF & Power BI: Solving
Are you a Power BI user who wants to gain hands-on experience with Cognite Data Fusion? Are you curious to learn how to handle a large set of CDF data in Power BI?The Cognite Power BI connector lets you use a CDF project as a data source in Power BI Desktop to query, transform and visualize data, share insights across your organization, or embed dashboards in your app or website. When working with the Cognite Power BI connector, it is important to know how to refresh the data and apply best practices to deliver accurate results. The newest course from Cognite Academy introduces you to implementing incremental refresh - one of the best practices to get the most out of the Cognite Power BI connector. Our instructors first explain when to use incremental refresh, then show you how to set it up in four steps. In this course, the training data comes from the Open Industrial Data (OID) project, a live stream of industrial data from the Valhall oil platform.After completing this course, you’l
Cognite Charts: Ability to calculate by subtracting two different time stamps on the same time seriesNew
I have a use case here where i would like to take a value reading at 9am on a time series and then one at 4pm but then i want to subtract it and have that as a synthetic time series going forward. Can we do this in Charts?@Crystal Connor Richards @Eric Stein-Beldring @Philippe Bettler
A common setup that we have at Cognite is having 3 different environments: development, test and production. We have one specific Cognite Data Fusion (CDF) project for each of these environments. This setup allows to develop new features without interfering with production data. Also, it makes the deployment of new features to production much safer, since they are tested before.Sometimes, you still want to have the data you used during your tests, in your production environment. For example, if you extracted some data from sensors and saved them as time series in CDF, you may want to keep this historical data when you move to production. Same goes with files, assets, datasets, functions etc. Another example could be the replication of the data from a full production CDF project, to one of your customer’s project, containing only a subset of the source one.At Cognite, we have a python package (available at https://pypi.org/project/cognite-replicator/) whose purpose is to copy the select
Cognite InField and Cognite Data Fusion: Ability to use QR code/barcode/NFC to search and identify tagsGathering Interest
In a lot of our plants, we have placed QR Codes or Bar Codes on equipments such as valves, pipes etc and we would like to scan them and open up the infield search page to get to the information. I reccomend having a mapping table maintained somewhere for QR Codes and Bar Codes.
Cognite InField: Ability to view Time Series Data Against Direct Links and RelationshipsPlanned for development
This is fundamental that when i am searching a tag in Infield e.g. HE1300 or V32401, i should be able to get all my time series data associated to that tag in the Infield view. Currently, only direct links are shown in the infield app, so if i really want to search a time series, i actually have to query the instrument tag itself. That is not value adding and defeats the contextualization and relationship achieved in CDF. This is really important to get fixed.
Can the signals of warnings, alarms, and failures be used to tag anomalies and/or failures in the compressor?
There are some signals that in the names or the description have the words: alarm, warning, or fault. E.G. There is this alarm signal, (in red ) that I’m comparing with one of the vibration signals. And the alarm seems to be on when the vibrations are close to 0 and the Compressor is off. I’m plotting the label as a combination of the name and the description, but the externalId of the alarm is: pi:160268In most cases that alarm is on when the compressor is off, except in this case, Where I do not see any problem with the vibration signal: There are these other two alarms, from the plots: one is on when the compressor is off and the other one when it is starting up. But I do not see any strange behavior in the signal when they occur. Besides the alarms, I’ve also looked into some of the fault signals but those seem to be on for very long times: Is there another way to use the alarm and fault signals to label anomalies or failures? I don’t know if using the vibration signals is the bes
InField checklist - A way to capture A/B pumps stateGathering Interest
On behalf of process experts at Celanese Acid South unit: There are several A/B pumps. When one is running the other is not. Currently we have to create template with a single item for all pumps and mark the ones not running N/A one-by-one. With the number of A/B pumps running this is a bad user experience and takes a lot of time. If Pump A is running, Pump B is not:It would be ideal to select Pump A in the checklist and enter in the reading. With Pump A running and we enter the measurement, then it would know to mark Pump B as N/ (since they are mutually exclusive)Please work with James Hudson on details of use case.
Hello we have very good news for you, Seismic Service reached Limited Availability. What does it mean for you? A more mature and resilient Software as a Service offering supported by Cognite, and only one step away from being general available. In this particular case the main difference between Limited and General availability relies on the specific cloud support vs a cloud agnostic offer. Why was the Seismic service built? Because seismic data is a key asset for many companies in the Oil and Gas industry, and it represents a big portion of the data a company might own. The reason for this is that seismic data by nature is very large and complex to store and access quickly. In Cognite, we built the Seismic Service that allows you to store data in the cloud, search for a particular seismic line and stream it in seconds. All these functionalities are powered by CDF. Seismic Service enables you to: Have centralized access for 2D and 3D post stack seismic data Full control on who acces
InField Trends - Set favorites per assetGathering Interest
I am entering this on behalf of customer Celanese - Acid South Unit - InField Superuser, James “Hud” Hudson: Trending in InField.Issue: Too many come up and they are just a random ID # and have no description coming in.For ease of navigating, it would be helpful to have an unselect all button so you don’t have to go un-click the list that InField decides to auto-check when you click on Trends for an Asset. Option to set My Favorites Trends that would be auto checked in Trends for each asset in Trends View. I can learn the names/ids of the time series coming in that I care about and set them as favorites to check by default. Even better would be to have ability to set Unit Favorites/Group Favorites AND have personal favorites where you could decide with you want set as default to open on Trends page. . then As a Learning Facilitator ability to set unit/team favorites to make it easier to onboard new employees and to make sure process experts are using all the features available to the
Cognite Data Fusion Release: October 2022Major release
Images contain essential information required for optimizing operations. This release of Cognite Data Fusion (CDF) introduces image and video management, where you can upload, organize, and explore the image and video data and add annotations to the images. With the new image contextualization API, you can detect assets tags, text and people using industry-relevant detection models.We've also made it easier to work with the data flow from a source system into CDF with the option to create, edit, and troubleshoot the extractors' configuration files in the CDF user interface.Read more below or watch the videos to learn more about this and other improvements in this release. Image and video managementImages contain information such as the time or location of a photo, a number on a tag, or rust on a pipe. Use the new Image and video management tool to upload and enrich images and videos to CDF. Then, organize and explore your images and videos in a list view, gallery view, or on a map and