Towards Automated Building Metadata Collection. Automatic collection of Building Metadata. Arka Bhattacharya, David Culler. Motivation. Architecture. Modeling Uncertainty. PROBLEM. TWO MAJOR TYPES OF UNCERTAINTY VALUE UNCERTAINTY
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Towards Automated Building Metadata Collection
Automatic collection of Building Metadata
Arka Bhattacharya, David Culler
Uncertainty Reduction through feedback
Automation : Example 1
Automation : Example 2
EMPERICALLY FIGURING OUT ORIENTATION OF ROOMS:
East / South
If zone boundary information is imperfect
1. GbXML is weak in representing relationships. Explore other ways of representing building metadata.
2. How to represent incompleteness of data in the representation
3. How useful are PL “learning-by-example” techninques , and where can they be applied ?
Calculate most likely zone and most likely VAV for that zone.
Given the user feedback, update the probabilty matrices using Bayes Rule.
Classification accuracy :
86% for all rooms on 6th and 7th floors
81% for all rooms on 5th, 6th and 7th floors