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Manage the conditions of my assets

The power of Stelar is confirmed in its ability to establish the health condition and end of life of an asset. Based on the knowledge of experienced engineers, the calculations integrated into Stelar offer relevant functions for managing assets based on risk. The platform also includes artificial intelligence tools to help inspection.

How can Stelar manage the condition of my assets?

The centralization of assets and their life cycle documentation allows the user to better manage their condition. The Stelar information system is equipped with numerous functionalities to observe, assess the condition of assets, and identify and classify the interventions that affect this condition. Stelar offers attributes that evolve over time allowing cross-analyses with the evolution of the condition of assets.

Observations

AI image analysis

Risk matrix

Risk-based inspection

Health Index

Timeline

Observations

In Stelar, an observation is a remark, a defect, an analysis result or a non-compliance detected during an intervention of any type in the field. This function will allow you to report all anomalies, in order to offer you a holistic picture of the condition of your site.

This function, the form tool, which makes it possible to generate observations is customizable and requires a proven data collection methodology so that the data can be properly used to assess the condition of the assets (granularity of the inventory, completeness of the information collected)

You will thus be able to:

  • Create and manage observations
  • Use artificial intelligence-based defect type recognition
  • Annotate handwritten photos, maps
  • Position observations on plans, maps, and photos

AI image analysis

The photo analysis tool automatically identifies defects in metal and concrete asset components, which are the two most common materials in the industrial world. This feature integrated into Stelar is a first and a definite advantage in democratizing inspection.

  • Automatic identification of the type of defect on concrete: erosion, cracking, disintegration, delamination, etc.
  • Automatic identification of the type of defect on metal: corrosion, deformation, coating defect, cracking, etc.

Risk matrix

For the qualification of defects, the risk matrix constitutes the same common denominator specific to the needs of the organization and its asset maintenance operations. By establishing the probability of failure and the consequence associated with all the faults observed on a site, managers will be able to easily assess the situation and intervene according to a clear priority.

  • A default risk matrix is offered
  • Your organization's risk matrix can be integrated into your instance

Risk-based inspection

RBI, risk-based inspection, or criticality inspection, is a process that designs inspections based on the risks of failure, based on a combined analysis of the probability and consequences of damage, deterioration or degradation. Every business has its own way of analyzing risk. The RBI standard is applicable through the RBI module integrated into Stelar, and applies mainly to industrial tanks and pipes, sometimes under pressure.

  • Stelar is built in such a way that it can produce risk-based inspections quickly and without a hitch according to your inspection schedules.
  • Assessment of the risk level of assets based on inspection results.
  • Facilitation for the prioritization of interventions, and therefore investments, based on a single criterion.

Health Index

Based on asset categorization information and the results of qualitative or quantitative asset analysis, it is possible to calculate the health index of an asset according to predefined parameters. This index tells managers which assets account for the majority of risk exposure.

  • Parameterization of the health index calculation by type of asset, according to your methodology
  • Taking inventory into account on the composition of an asset

Timeline

An overview is offered in the form of a timeline allowing to visualize past and future interventions or events of the asset. This feature makes it easy to visualize the lifecycle of assets.

  • Activation of the asset
  • Past and future interventions and events concerning an asset
  • Identification of the theoretical end of life and the calculated end of life