An intelligent consulting system for developing buildings in educational institutions | ||
| مجلة بØوث التربية النوعية | ||
| Volume 2024, Issue 83, May 2024, Pages 1387-1414 PDF (1.08 M) | ||
| Document Type: مقالات علمیة Ù…Øکمة | ||
| DOI: 10.21608/mbse.2025.288617.1470 | ||
| Author | ||
| أمل السعيد جاد Ù…Øمد* | ||
| جامعة المنصورة كلية التربية النوعية قسم اعداد معلم Øاسب آلى | ||
| Abstract | ||
| This paper presents Artificial Intelligence (AI) desktop application for educational buildings to improve all of them and help new investor to build school or university in a good way applicable to the educational buildings’ authority and its rules. Artificial intelligence revolutionizes school building assessment by automating data analysis, predicting maintenance needs, and optimizing energy usage. Through sensors and AI algorithms, it enhances security, identifies structural issues early, and ensures efficient resource allocation, ultimately fostering safer, more sustainable, and technologically advanced educational environments. Moreover, AI facilitates real-time monitoring of critical infrastructure components, offering insights into occupancy patterns, air quality, and equipment performance. This data-driven approach not only enhances the overall safety and well-being of students and staff but also contributes to the longevity and sustainability of school buildings by addressing issues proactively and minimizing operational disruptions. Utilizing sensors as part of AI-driven school building assessments allows for continuous data collection on factors like temperature, humidity, and occupancy. These sensors enable predictive maintenance, helping identify potential issues before they become critical, and contribute to energy efficiency by optimizing heating, ventilation, and lighting systems based on real-time needs. The integration of sensor data with AI algorithms enhances the overall effectiveness of infrastructure management in educational settings. | ||
| Keywords | ||
| Artificial Intelligence System; Educational Buildings Assessment | ||
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