Arce Fernández,Nilthon2025-12-172025-12-172025-07-02http://hdl.handle.net/20.500.14689/1018This study addresses the formation, detection, and repair of cracks in concrete elements exposed to temperatures above 25 ◦C, where accelerated evaporation compromises their structural strength. An automated intelligent curing system with embedded sensors (DS18B20, HD-38) and Arduino controllers was developed and applied to solid slabs, columns, and concrete test specimens (1:2:3.5 mix ratio). The electronic design was simulated in Proteus and validated experimentally under tropical conditions. Data with normal distribution (p > 0.05) showed a significant correlation between internal and ambient temperature (r = 0.587; p = 0.001) and a low correlation in humidity (r = 0.143; p = 0.468), indicating hygrometric independence. The system healed cracks of 0.01 mm observed two hours after pouring the mixture, associated with an evaporation rate of 1.097 mL/s in 4 m2 . For 28 days, automated irrigation cycles were applied every 30 to 60 min, with a total of 1680 L, achieving a 20% reduction in water consumption compared to traditional methods. The system maintained stable thermal conditions in the concrete despite ambient temperatures of up to 33.85 ◦C. A critical evaporation range was identified between 11:00 and 16:00 (UTC-5). The results demonstrate the effectiveness of the embedded system in optimizing curing, water efficiency, and concrete durabilityapplication/pdfenginfo:eu-repo/semantics/openAccessconcrete crackingtemperature and humidity controlwater evaporationinfo:eu-repo/semantics/articlehttps://doi.org/10.3390/technologies13070284https://purl.org/pe-repo/ocde/ford#2.00.00