SYSTEM FOR MONITORING AND ANALYSIS OF ELECTRIC ENERGY CONSUMPTION IN HOUSEHOLDS BASED ON IOT TECHNOLOGIES

This paper discusses the development of an energy consumption monitoring and analysis system for households based on IoT technologies. With the increasing demand for energy and the need for its rational use, automating the monitoring process is crucial, allowing users to efficiently manage energy resources. The proposed system integrates modern hardware and software tools for collecting, processing, storing, and visualizing real-time energy consumption data. It consists of a data collection module based on the ESP32-CAM board, which captures images of electricity meters, and software for processing these images using the OpenCV library. For data storage, the reliable PostgreSQL database is chosen, and for data visualization, Power BI and Looker platforms are used to create interfaces for convenient energy consumption analysis. Functional and non-functional system requirements have been investigated, including real-time monitoring, data reliability and security, and user-friendliness. Existing technologies and solutions for energy consumption monitoring, such as EcoBee Smart Thermostat and EnergyHub, were also reviewed, allowing for the identification of the main advantages and disadvantages of such systems. To verify the effectiveness of the proposed system, its components were tested under real-life conditions, which helped assess the accuracy of data collection and processing. The developed system has high potential for implementation in various households, helping reduce energy consumption costs, improve control over electricity use, and ensure its rational utilization. The practical significance of the work lies in creating an accessible and efficient tool for energy consumption monitoring, adaptable to the needs of different users and infrastructures. Further research will focus on expanding the system's functionality and integrating it with other devices to enhance its capabilities.