Constructing a Sustainable Future #4

5 6BUILDING × CITY: BUILDINGS THAT TALK TO EACH OTHER In cities, AI coordinates buildings to create smart grids: shared energy production, shared storage, real-time management of consumption peaks. Algorithms analyze mobility flows, air quality, and heat islands, and automatically adjust public lighting and urban ventilation. Thousands of sensors communicate with each other to optimize electricity distribution, ease traffic flow, and manage waste collection. The building becomes a node in a smart network that communicates constantly with the city. END OF LIFE/SELECTIVE DISMANTLING: CLEAN DISMANTLING WITH EXTENSIVE REUSE OF MATERIALS No more indiscriminate demolition. 3D scanning tools coupled with artificial intelligence scan the building, identify any reusable material (doors, windows, ceiling tiles, cladding, joinery, etc.) and assess its potential. The algorithms sort the material by category and quantify it. On site, compact demolition robots are guided by BIM: operators can see in real time on their tablets what needs to be demolished and what needs to be preserved, thus avoiding pipes, cables, and components that need to be kept. The dismantling schedule is optimized to maximize recovery. Each item can find a second life on other construction sites via dedicated platforms or in other products through recycling. Yesterday’s waste becomes tomorrow’s resource. 4 3RENOVATION: SEEING THE INVISIBLE TO RENOVATE THE ESSENTIAL 3D scanning combined with AI maps every square inch of a building in a matter of hours with high precision. Algorithms detect what the eye cannot see: incipient cracks, structural deformations, hidden thermal bridges, invisible disorders. Predictive analytics targets areas at risk before they get worse. Renovation scenarios can be simulated instantly (energy impact, cost, carbon footprint) and compared. The result is ultra-accurate diagnostics, accelerated readings, and informed decisions. Renovation becomes an exact science in the service of performance. OPERATION: PERFORMANCE AND COMFORT, DAY AFTER DAY The building lives with its occupants. Algorithms cross-reference current occupancy, weather conditions, and habits to adjust heating, ventilation, and air conditioning to within one degree. Each room receives the energy it needs, when it needs it. Maintenance becomes predictive: AI detects the warning signs (abnormal vibration, temperature fluctuations, unusual consumption, etc.). It schedules maintenance before a breakdown occurs, thus avoiding costly repairs and emergency shutdowns. The result is maximum comfort, minimum consumption, more durable equipment, and lower maintenance costs. The building becomes smart, combining energy savings with user comfort. To preserve azulejos (traditional ceramic tiles found on historic façades in Portugal), a team of researchers has developed TWO COMPLEMENTARY ARTIFICIAL INTELLIGENCE SYSTEMS: one capable of accurately identifying whether a tile is damaged, and the other analyzing the exact nature of the damage. SPOTLIGHT 97 96

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