Hi everyone,Happy to share with you our latest features in Industrial Canvas:New features:While exploring data in Data Explorer you can now easily add any item (asset, event, 3D model etc) to a Canvas. The entire canvas can be exported in a PDF, including the annotations. You can now customize which info/fields are relevant to you, when adding an asset or event to a canvas. You can duplicate a canvas and copy-paste items from one canvas to another. You can now change the order/layering of items in the Canvas. You can draw markups using the line tool when holding CMD. Several styling and bug issues have been fixed and tweaked. Give it a try and share your feedback with us :) Thank you!
Hi Everyone,In case you haven’t discover them yet, I would like to share with your what brings January release as new features and capabilities in Industrial Canvas:Working with dataBetter visualization quality while working with time series and files. When exporting a canvas in a PDF we have eliminated the blank pages and the annotations are visible in the PDF as well. AI semantic document search Ask questions in natural language and get answers based on information found in a document. Verify answers by jumping to location of source in the document. Interpret information found in the document based on questions.CollaborationWhen I’m being tagged in a canvas, I’m getting notified via email. Keep up to date with all your canvas versions, restore to an older version and lock a canvas for preventing changes from happening.ToolboxEnriching the toolbox with more tooling such as Industrial shapes and export your canvas in a PDF.Looking forward for your feedback!
Hi community!Monitoring asset health, performing root cause analysis, and doing on-the-fly troubleshooting can be a complex process for both seasoned experts and new engineers. In this video I'll be sharing some tips on how to gather and analyze data efficiently, which we believe will boost your confidence in managing asset health.I'd love to hear your thoughts and encourage you to share your experiences and insights to help improve our asset health program.Cheers,Andreea.
Have you already tried and used the latest features released in our Industrial Canvas? We would like to hear your feedback! 🙌Here is the full list of features and how you can use them:Managing your canvasCanvas visibility can now be set to either private or public. By default, when you create a canvas, it will be “marked” as private. You can change it to public by using the Share option while in the canvas. View live datapoints signalled with traffic lights based on basic rulesPin time series connected to assets in engineering diagrams and visualize their “live” values (the latest value is refreshed every 30s). Add simple rules on these values. For example “if the temperature is higher than 30°C, show the tag in colour red”.Leave comments and tag colleagues in the canvas You can easily add comments while working in the canvas and tag your colleagues. You can find all the comments in the “Comments panel” where you can also search for the content. General fixes, tweaks and small improv
Industrial Canvas is the digital workspace for data-driven planning, collaborative data analysis, troubleshooting, support for root cause analysis, operational insights, work pack preparation and even collaborative maintenance planning. It gives industrial teams simple access to complex industrial data, in their language and on their terms. This first-of-its-kind experience for industry allows experts to go from cumbersome manual workflows to a visual, collaborative interface powered by contextualized data and artificial intelligence.With Industrial Canvas, Cognite Data Fusion provides a blank canvas for subject matter experts to creatively think, build, and work with industrial data from all sources. Here are a few examples of what you can solve in a canvas by working collaboratively across several data types: Pulling in all the relevant data when performing a root cause analysis on an anomaly such as loss of containment in a compressor. I got a well failure, now I can extracted all
Here are the features and functionalities that you can expect to find in Industrial Canvas as of June release:Work with several related data types:You can search and add the data you need in the canvas such as files, images, time series, assets, events. Use the button “Add data”. When adding P&IDs to the canvas, each highlighted area is clickable and can be used to add additional data to the canvas. Add personal files and images from your local machine by just using drag-and-drop. You can also add data to the canvas while being in Data Explorer, in Cognite Data Fusion by clicking on “Open in Industrial Canvas”.Add related data directly from the data already selected in the canvas User interactivity:Create/Rename/Delete a canvas. Free form experience, canvas-like experience. You have access to different shapes, text box, sticky notes and connected lines. Easily add insights on top of selected data.Collaborate with your peers:Share the canvas with your colleagues by either sharing t
Simply ask your Cognite Representative to set it up for you and Industrial Canvas will appear in the Cognite Data Fusion menu.
We are happy to announce the release of our groundbreaking Industrial Canvas in Cognite Data Fusion where you can easily:Explore and access any type of data in one compostable environment. Work with several data types side-by-side and get all the context that you need for your data analysis. Collaborate - annotate, share insights with seamless integration into no-code analytics (Charts). Working together, in the same canvas, with your fellow colleagues to solve problems and iterate. Create - work in a canvas like experience, get documents summarization, flexibility on how you are managing the space and find solutions based on data. By having a collaborative workspace, you can do visual data exploration to efficiently analyse a problem or understanding something about the physical asset and the data it is generating. You can perform data analysis, troubleshooting, support for root cause analysis, understand your asset health, do work packs preparation, support for maintenance planning
In the last months we released several improvements in Data Explorer, Cognite Data Fusion UI. This is a first release post dedicated to Data Explorer and more will come. We have continuously releases and planning some exciting features in the following months so stay tuned :). We are revamping the whole user experience and we are really happy to get your feedback as we iterate. Please share your feedback and submit requests, we are constantly checking them out and integrate them in our product development. New features:The search bar is moved to the top of the page and displays the search results count on resource types. Search improvements for Files name: better ranking by bringing the best matches first and adding support for partial match search for file name. You can reset your filters, and a red badge indicates that filters are applied. You can also collapse the More filters section. We've improved the navigation when you search for a tag in an engineering diagram, such as a P&am
We are very excited about being officially in General Availability with Cognite Functions! A big thank you to everyone who helped in this journey and your tremendous contribution! Please keep posting feedback and issues, as we are constantly improving the service.As part of GA, there are a few things that you should consider:We have support in the official SDK (cognite-sdk version 3.9.0) and have moved to V1 API endpoint. We recommend you to use only the official Python SDK when creating new functions and migrate the old functions that point to the experimental one. We will remove Functions from the cognite-sdk-experimental starting version 0.94.0. You will still be able to use the experimental SDK with versions < 0.94.0 until we remove the playground API (because the experimental SDK uses the playground URL) by November 1st. Functions in API playground is retired at 1st of November.Check out here more details about the release:
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