The creation of asset type templates corresponds to the technical datasheet of an asset where the necessary attributes for proper understanding of assets are defined for each type. Assigning assets in the inventory to different asset type templates allows for establishing comparison points to evaluate their condition. This structure facilitates data enhancement through machine learning. It is possible to configure all the necessary attributes for assessing a type of asset, including:

• Dimension and capacity
• Function
• Inspection, usage, and design standards
• Installation type, structure, and foundation
• Materials and thickness
• Engine power and fuel type
• Inspection frequency and method
• etc.

The mapping visualization in Stelar is a valuable asset for users, enabling them to optimize asset inventory, quickly access crucial information, and make strategic decisions with confidence. It is possible to locate assets on a map using GPS positioning.

A dedicated space is provided to document all information related to an asset's design; you can quickly and logically find a technical information base. This allows you to compare the asset's evolution with the original plans.

• Asset plans (original plans, as-built plans, etc.)
• Relevant documentation (maintenance plans, installation guides, warranties, etc.)
• Previous analysis reports (e.g., RCFA)

Have all the tools you need to easily transfer your asset inventory according to the structure you define. You will be able to import your complete inventory without having to manually manipulate data from one system to another. Alternatively, you can create a data bridge using our SDK or API to seamlessly exchange data.

• Import and export in Excel and CSV formats
• Import sites, assets, and interventions
• Support for hierarchical nesting
• SDK available in Python and JavaScript
• Reflects all possible data interconnection and access operations: create, modify, and delete (organizations, users, locations, assets, interventions)