AUTOMATED IOT SYSTEM FOR MANAGING THE WATER SUPPLY PUMP STATION OF TEPYK VILLAGE

Abstract

Internet of Things (IoT) is a network of devices, data, and other technological functions designed to perform any operation more intuitively with minimal human intervention. IoT is gradually permeating everyday life and the commercial sphere. The concept of the Fourth Industrial Revolution (Industry 4.0) is largely based on the intuitive adaptation of IoT and intelligent automation in every industrial activity. In recent years, IoT has also entered the field of water and wastewater management. The deterioration of water quality, decreasing water levels, water consumption patterns, and lack of backup resources are some of the problems currently faced by water supply industries. Reckless water use has negatively impacted biodiversity and natural habitats to such an extent that it has become scarce in key regions of Ukraine and globally. IoT technology provides real-time monitoring solutions for the water supply industry and other sectors that use water as a primary resource, helping to mitigate the impact of scarcity. Traditionally, specialists in various fields used scales to measure water levels and recorded everything manually. This created problems, the main one being measurement inaccuracies, which affected stock levels and disrupted the entire process. IoT technology is a revolutionary concept that thrives on rapid industrial recognition. This work discusses the development and implementation of an automated IoT system for managing the water supply pump station in the village of Teplyk. The main task is to create a system that ensures a stable water level and promptly responds to changes in water supply, providing reliable living conditions for residents. This allows operators to remotely monitor, control, and optimize changes according to environmental conditions or other challenges during wartime. During the research, calculations were made to determine the optimal tank level for specific user categories and to identify peak times when water demand is highest. The developed system represents a practical example of using the Internet of Things to solve current water supply problems and demonstrates the potential for automation and resource optimization in modern conditions.