Case study 01
BIM · Data · Automation
BIM Quantity Take-Off & Model Readiness
Preparing model information for consistent quantity extraction, with clear checks and QS review.
Visual reconstruction
Reliable quantities start with clear information requirements.
Abstract architectural massing and workflow. No project geometry or client data is reproduced.
Select a stage · 01 / 08
POMI requirement
Define the measurement rules and scope before model data is considered.
| Stage | Review point | Selection |
|---|---|---|
| 01 | ||
| 02 | ||
| 03 | ||
| 04 | ||
| 05 | ||
| 06 | ||
| 07 | ||
| 08 |
Input requirements / demonstration
Establish the basis before extraction.
Tick an input when its requirement has been addressed. These are illustrative checks, not validation of an uploaded model.
3 / 8inputs addressedProblem
A coordinated BIM model is not automatically reliable enough to support commercial quantity extraction.
System
Select a step to see its role in the work.
01POMI requirements
Set out the measurement basis so the model is checked against the quantity surveyor's scope.
02Information requirements
Identify which objects and properties must be present before quantities are extracted.
03Revit model and data
Prepare model elements and shared parameters so their data can be inspected consistently.
04Controlled mapping
Map eligible model properties to the agreed classification and measurement structure.
05Scope approval
Confirm inclusions, exclusions and exceptions with the people accountable for the scope.
06Automated classification
Apply repeatable classification rules only after the mapping has been reviewed.
07QA and preflight
Check missing parameters, inconsistent classifications and model exceptions before release.
08DWFx exchange
Send a controlled exchange that can be traced back to the checked source model.
09DimensionX
Receive the model information in the quantity extraction environment for comparison.
10QS verification
Reconcile the extracted quantities and exceptions through professional QS review.
Outcome / direction
A governed model-readiness framework that makes quantity extraction traceable across authoring, mapping, exchange and receiving-side verification.
Knowledge graph
Related case studies and research.
Follow the methods and information shared by this work and the cases below.