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Manage the conditions of my assets

The strength of Stelar lies in its ability to determine the health condition and end of life of an asset. Based on the expertise of experienced engineers, the calculations integrated into Stelar provide relevant functions to manage assets according to risk. The platform also includes artificial intelligence tools to assist with inspection.

How can Stelar manage the condition of my assets?

Centralizing assets and documentation of their lifecycle allows users to better manage their condition. The Stelar platform is equipped with numerous features that enable observation and evaluation of asset condition, recording and classifying interventions that impact this condition. Stelar offers attributes that evolve over time, allowing cross-analyses with the changing condition of assets.

Observations

Image Analysis by AI

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 any type of field intervention. This feature allows you to report all anomalies, providing a holistic view of your site's condition.

The form tool, which allows the generation of observations, is customizable and requires a proven data collection methodology to ensure data is usable for asset condition evaluation (inventory granularity, completeness of collected information).

With this tool, you can:

  • Create and manage observations
  • Use artificial intelligence to recognize defect types
  • Annotate handwritten notes on photos and plans
  • Position observations on plans, maps, and photos

Image Analysis by AI

The photo analysis tool allows for the automatic identification of defects in metal and concrete asset components, which are the two most common materials in the industrial world. This functionality integrated into Stelar is a first and a definite advantage to democratize inspection.

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

Risk matrix

For defect qualification, the risk matrix serves as a common denominator tailored to the organization’s needs and its asset maintenance operations. By establishing the probability of failure and the consequence associated with all observed defects on a site, managers can easily assess risk and intervene according to a clear priority.

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

Risk-based inspection

RBI, or Risk-Based Inspection, is a process that designs inspections based on the risks of failure, relying on a combined analysis of the probability and consequences of damage, deterioration, or degradation. Each company has its own way of analyzing risk. The RBI standard is applicable through the integrated RBI module in Stelar and mainly applies to industrial tanks and piping, sometimes under pressure.

  • Stelar is designed to produce risk-based inspections quickly and smoothly according to your inspection criteria.
  • Assessment of asset risk levels based on inspection results.
  • Facilitation of intervention prioritization, and thus investment prioritization, based on a single criterion.

Health Index

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

  • Parameterization of the health index calculation by asset type, according to your methodology
  • Consideration of the inventory composition of an asset

Timeline

An overview is provided in the form of a timeline allowing visualization of past and future interventions or events related to the asset. This feature facilitates the visualization of the asset lifecycle.

  • Asset commissioning
  • Past and future interventions and events concerning an asset
  • Identification of theoretical end of life and calculated end of life