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Using Lifecycle Modelling in CAMS Web

Overview

This article provides an introduction to the Lifecycle Modelling tools available in the Predictive Modelling section of CAMS Web. These tools allow administrators to estimate cost projections, apply design lives, upload reference matrices, and conduct condition-based lifecycle analysis. All actions in this section are available under the Base Level.

Each module listed below plays a role in forecasting asset deterioration and financial planning. If a linked article is not yet available, it will redirect to the appropriate placeholder article.

Cost & Design Lives

This section is used to configure lifecycle parameters, including expected design life and associated cost rates for each component type.

You can:

  • Define unit costs, including capital replacement and maintenance costs

  • Assign design life values based on component types or classification

  • Apply deterioration curves to define how assets age over time

  • Link cost implications to condition grades for modelling outcomes

These inputs feed directly into lifecycle projections and funding models.

If you'd like to learn more about configuring unit rates and design life settings, refer to: Cost & Design Lives

Analysis Input

This section allows you to upload and configure the key performance data used to drive lifecycle modelling. All data must follow the standard CAMS upload structure to be compatible with matrix-based forecasting.

The Analysis Input section includes four core data types:

  • Condition: Input LoS condition ratings gathered from inspections. Each record should be matched to a unique asset ID and assigned a condition grade (typically numeric or grade-based).

  • Quantity: Enter the physical size, length, area, or count of each asset component. This ensures that lifecycle costs are accurately scaled.

  • Priority: Set priority scores to indicate which assets require urgent action. This can reflect regulatory risk, service impact, or field observations.

  • Criticality: Define the relative criticality of assets based on their function, network importance, or user-defined risk categories. This value influences renewal timing and funding allocation.

All input values are later combined with transition matrices to run predictive modelling.

If you'd like to learn more about how to prepare and upload these datasets, refer to: Analysis Input

Upload Trans. Matrix Ref

This section allows you to upload transition matrices used to model deterioration between condition grades over time.

You can:

  • Upload matrix files containing grade-to-grade transition probabilities

  • Associate matrices with specific asset types or LoS data sets

  • Validate formatting and ensure linkages match your Analysis Input

These matrices simulate how assets deteriorate, allowing CAMS to forecast condition change under different assumptions.

To learn more about uploading and configuring matrix references, see: Upload Trans. Matrix Ref

Analysis

After input data and matrices are in place, use the Analysis section to run predictive modelling scenarios.

You can:

  • Run deterioration models across asset groups, networks, or selected components

  • Compare different renewal strategies, timings, and funding levels

  • Review outputs showing future asset condition and intervention need

To learn more about running and interpreting lifecycle simulations, refer to: Analysis

Life Cycle

This section presents the results of lifecycle analysis using visuals and downloadable reports.

You can:

  • View projected cost curves and funding needs over 5 to 50 years

  • Identify optimal timing for asset renewal or intervention

  • Export data to support capital planning and reporting requirements

If you'd like to explore lifecycle projection outputs in more detail, visit: Life Cycle

Job Status

This area tracks the background processing of your predictive modelling tasks.

You can:

  • Monitor job progress, including queued, processing, or failed status

  • View user and time metadata

  • Retry or reprocess failed jobs as needed

For more detail on how to manage these tasks, refer to: Job Status

Download Requests

This section provides access to exported analysis reports and datasets.

You can:

  • Monitor download generation and status

  • Retrieve scenario outputs, cost breakdowns, and lifecycle results

  • Access past downloads from your user session

If you want to learn how to access and manage lifecycle modelling exports, visit: Download Requests

Need Help?

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