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Asset Timelines

Learn all about the future of digital twins and digital threads.

Updated over 11 months ago

What are Asset Timelines?

When looking at the properties from a detected asset, for example a solar panel with a thermal anomaly, you can now see the timeline of that specific asset.

This timeline shows you the digital thread of the asset. It's a timeline view across its lifecycle on the Sitemark Fuse platform.

In practice, the asset timeline currently shows you the different detections we made on the asset across the different operations.


Detections vs Assets

The Asset Timeline shows you the different detections that we made on a particular physical asset. We currently support four types of detections over three types of assets.

The different detection types are:

  • Solar Anomalies: these are faults we detect on solar panels, like hotspots and bypassed substrings for example, available in the Solar Thermography data products.

  • Panels: these are detections of solar panels, available in the Solar Construction data product.

  • Structures: these are detections of tracker structures on a solar site, available in the Solar Construction data product.

  • Poles: These are detections of poles on a solar site, available in the Solar Construction data product.

These detections happen on the following asset types:

  • Solar site panels

  • Solar site structures

  • Solar site poles


Macro vs Micro Level

On a macro level, operations occur on a site at different points in time.

Every operation detects different assets, so on a micro level, we can link the detections that occur on the same physical asset through a digital thread.


Asset Setup

Of course, we can't just link detections to assets if we don't know where those assets are located. There are several ways to set up your assets.

  • DXF: If you have an accurate representation of your assets in the form of a DXF, you can upload it as an overlay to create your assets layer. It's very important that all assets of a certain type are located in a single layer in the DXF and that they don't contain any references.
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  • Detections: If you don't have a DXF containing your assets, we can also build up your assets from the detections that we make on your operations. When we detect an anomaly on a solar panel that isn't part of your assets dataset for example, we can add it to the dataset. This process gradually builds up your assets from what is detected in each operation.
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  • Solar Construction: When doing a Solar Construction operation, we use artificial intelligence to detect all the assets on your site.

Setting up your assets from a DXF layer has a few advantages over the other methods.

First of all, it makes sure your assets are located exactly where they should be. As there can be slight shift in the detections when using aerial detections. The shift can range from one centimeter when using RTK or GCPs, up to several meters with regular GPS drones. Accurately locating your assets allows you to also track the accuracy of your construction project.

Secondly, it makes sure you immediately have all your assets set up without the need for a Solar Construction scan.

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