![]() It has been proven by various studies that green roofs and vertical green facades provide many positive effects for the building and the environment in which they are used (Besir and Cuce, 2018 Saadatin et al., 2013 Manso et al., 2021 Andric et al., 2020). We build SiWa as a prototype and evaluate its performance via extensive experiments and field studies results confirm that SiWa accurately maps in-wall structures, identifies their materials, and detects possible failures, suggesting a promising solution for diagnosing building health with lower effort and cost. ![]() With an ingenious construction and innovative training, the deep learning modules perform structural imaging and the subsequent analysis on material status, without the need for parameter tuning and calibrations. To this end, we equip SiWa with a deep learning pipeline to parse the rich sensory data. Although conventional schemes exist to handle these problems individually, they require troublesome calibrations that largely prevent them from practical adoptions. Built upon a customized IR-UWB radar, SiWa scans a wall as a user swipes its probe along the wall surface it then analyzes the reflected signals to synthesize an image and also to identify the material status. In this paper, we design and implement SiWa as a low-cost and portable system for wall inspections. ![]() However, existing sensing devices do not seem to offer a full capability in mapping the in-wall structure while identifying their status (e.g., seepage and corrosion). If implemented based on socio-ecological need, green roofs with spontaneous vegetation coverage may apply less pressure to property values and housing costs than conventionally planted green roofs, increasing the resilience of urban communities while limiting gentrification.īeing able to see into walls is crucial for diagnostics of building health it enables inspections of wall structure without undermining the structural integrity. Construction costs may also be reduced in hot and dry climates where deeper substrates are necessary to ensure plant survival, as many spontaneous species are able to colonise shallow substrates and can regenerate from seed. As spontaneous species can establish on green roofs without irrigation and fertiliser, reduced input costs could help facilitate adoption particularly in markets without an established green roof industry. While social norms about “weediness” may limit the desirability of some spontaneous species, research suggests that their acceptability on green roofs increases with coverage. However, where good coverage is achieved, spontaneous vegetation could provide beneficial services such as stormwater mitigation, habitat provision, and climate regulation. This is often perceived as a failure of the original green roof design intent and spontaneous species are usually removed. Evidence suggests that green roof plantings change over time, especially with limited maintenance, and are replaced with spontaneous “weedy” species. ![]() Vegetation cover on green roofs is crucial to their provisioning of socio-ecological services. Consequently, green roof projects often disproportionately benefit wealthy communities and can further marginalise disadvantaged communities by increasing property values and housing costs. However, implementation of green roofs is limited by high construction and maintenance costs. Green roofs have the potential to provide socio-ecological services in urban settings that lack vegetation and open space.
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