Rehab

Rehabilitation Decision Trees in Info360 Asset are a tool to help you query data from asset inspections, risk models, asset attributes, or other custom data, and based on the results, assign rehabilitation actions (repair, survey, monitor, etc.) to assets.

Rehabilitation Decision Trees can help you create asset management plans and optimize costs for capital improvement projects (CIP) or day-to-day operations. You can create different decision trees for different planning goals.

Scope of Rehabilitation Decision Trees

The Rehabilitation Decision Trees that you can create will depend on the data you have available. For example, if you have consistent and sufficient condition data, you will be able to create a complex decision tree that provides rehab actions based on defect types and condition severity.

The purpose of your tree will also vary depending on your organization and its goals. For example, you may want to plan CIPs for the next 6 months or the next 5 years, or you may want to prioritize assets for inspection.

Structure of Rehabilitation Decision Trees

An Info360 Asset rehabilitation decision tree is a series of queries and actions which, when run, produces a list of rehabilitation results and associated costs for each asset. See the example tree below.

Query

A query is a condition statement that is answered with a "True" or "False" output. For example:

  • Query: "Is pipe risk grade equal to Extreme?"
  • If true: (Action) "Schedule for CCTV survey"
  • If false: (Next query) "Is pipe risk grade equal to High?".

Each query consists of one or more rules, which is the logic used to build the query. For example: (Rule 1) Pipe has extreme risk AND (Rule 2) Pipe has defects.

For some rule types, you can also add a filter to narrow down the query further. For example, to look for specific defect codes.

Structure of a query:

See more about queries and rules.

Action

An Action is the work that needs to be done to an asset. An action will be assigned to each asset after it has passed through the queries in the tree and actions may have an associated cost.

See more about actions.

Example Decision Tree: Pipes with Observed Sags

The example below shows a decision tree developed to manage pipes that have had observations of sags in CCTV inspections. Depending on criteria such as how severe the sag is, if the pipe is close to a body of water, when the last inspection was, etc., each pipe is assigned an action, such as being placed into a high-priority Capital Improvement Plan (CIP) or being reviewed by the engineering team within a low-priority plan.