Improving Citizens’ Health in Underground Public Interior Spaces Through AI Powered Green Walls

Abstract

In almost 600 BC, the Green Walls concept was presented. Most of the previous research has proved that the use of green walls in different types of interior spaces has its considerable merits in improving users’ overall health and productivity. Interior Designers seem reluctant to integrate green walls in underground spaces due to its drawbacks as one of the most expensive man-made walls, needing scheduled water requirements, and its susceptibility to adversities such as fungi growth. The current study offers an intelligent solution predicting the performance of self-sustainable green wall systems improving underground air quality. The system is mitigating the issue of the green wall’s short life span. The sustainability of green walls and air quality in underground interior spaces is investigated by applying IoT and AI technologies.