Design-to-Robotic-Operation Principles and Strategies as Drivers of Interior Environmental Quality

Design-to-Robotic-Operation Principles and Strategies as Drivers of Interior Environmental Quality

Liu Cheng, Alexander (TU Delft Architectural Engineering)

2017

This paper presents a high-resolution intelligence implementation based on Design-to-Robotic-Operation (D2RO) principles and strategies specifically employed to attain and to sustain Interior Environmental Quality (IEQ) within a dynamic built-environment. This implementation focuses on two IEQ-parameters, namely illumination and ventilation; and is developed in three main steps. In the first step, a formal design-criteria based on D2RO principles is developed in order to imbue considerations of intelligence into the early stages of the design process. In the second step, illumination and ventilation systems are developed as IEQ-regulating mechanisms whose behavior is determined by machine-learning models that continuously learn from the occupants and their preferences with respect to interior environmental comfort. In the third and final step, the resulting implementation is tested with probands in order to demonstrate continuous intelligent adaptation with respect to illumination and ventilation, which in turn demonstrates that a D2RO approach to IEQ yields a more intelligent adaptive mechanism that promotes occupant well-being in an invisible, unobtrusive, intuitive manner.

Adaptive Architecture
Cyber-Physical Systems
Robotic Building
Ambient Intelligence
nterior Environmental Quality

http://resolver.tudelft.nl/uuid:7ed98401-3859-485d-a545-4419fa4c57de

2215-0897

Spool. Journal of Architecture and the Built Environment, 4 (1 Cyber-physical Architecture #1)

Institutional Repository

contribution to periodical

© 2017 Alexander Liu Cheng