Using Green Technology and Intelligent Control for Children's Health Camps: A Digitized System "KasabaKIAT"

¹ Researcher, Digital Economy Faculty, Tashkent State University of Economics, Tashkent, Uzbekistan
² DSc, Professor, Tashkent State University of Economics, 100066, Tashkent, Uzbekistan
³ Associate Professor, Tashkent State University of Economics, Tashkent, Uzbekistan
⁴ Doctor of Pedagogical Sciences, Professor, Head of the Research Department "Digital Pedagogical Support of National Education" of the National Institute of Pedagogical Education named after Qori Niazi, Tashkent, Uzbekistan
⁵ Doctor of pedagogical science, Professor, the Department of Uzbek language and literature Uzbek State World language University, Kichik Halka Yuli Str., 21A, Tashkent, 100173, Uzbekistan
⁶ MA TESOL professor, Webster University, Webster Groves, a suburb of St. Louis, Missouri, USA

^* Corresponding author: zakirlaev2211@gmail.com

Abstract

Knowing where innovative digital systems have been successfully integrated provides insight into their environmental and social benefits, including applications in children's health camp operations. This study examines the conceptual framework and challenges of implementing intelligent green control to enhance environmental safety and operational efficiency through data-driven management, health monitoring, and resource optimization. The approach is validated using regression and correlation analyses for predictive or adaptive eco-digital control. Data were collected through a shared database and an open web platform accessible to stakeholders such as camp administrators and health specialists. Using KasabaKIAT as the main data hub, regression relationships from its functional modules—including shared energy control data and health monitoring outputs—were analyzed. Correlation results from the development of green-technology-based control models were used to identify patterns of operational efficiency, environmental quality, children's health outcomes, and resource consumption. The empirical findings were organized into four analytical categories: environmental impact, energy management, children's health indicators, and intelligent system performance, demonstrating improvements in camp sustainability. Although the study is limited to pilot-scale testing, the results indicate that intelligent green systems could achieve more consistent performance by incorporating adaptive learning and renewable-energy-supported monitoring systems.