The purpose of thesis project is to increase the level of comfort in a residential building by automating the process of controlling the parameters of a residential building and developing an "Automated System for Monitoring and Controlling the Parameters of a Residential Building Environment".
The thesis project developed an automated system for monitoring the parameters of a residential building environment. The developed system is an alternative to well-known foreign analogues. The system allows monitoring the concentration of carbon monoxide, relative humidity, temperature and insolation level with high accuracy, quality and productivity in an automated mode.
The thesis project analyzed the current state of the problem of automating the process of monitoring and controlling the parameters of a residential building environment. A general structural diagram of the system for monitoring and controlling the parameters of a residential building environment was developed, as well as a functional diagram of the system.

The purpose of this diploma project is the development of an automated plant sprouting system that provides control of the main microclimate parameters — temperature, soil and air humidity, and light level — with subsequent automatic lighting control to create optimal conditions for plant growth.
The work includes an analysis of the subject area, justification of the choice of sensors and actuators, development of the system's functional structure, creation of the electrical schematic and software for data collection, processing, and system control. Algorithms for automatic lighting regulation depending on the light level and stabilization of soil moisture have been developed. A graphical TFT display with a user-friendly interface is used to display information.

The object of development is an automated environmental monitoring system for energy facilities.
The purpose of the work is to improve the efficiency of environmental monitoring by developing an automated system for collecting, transmitting, and processing data on atmospheric air quality.
The diploma project examines modern approaches to environmental and air quality monitoring, analyzes existing monitoring systems, and presents a comparative analysis of MQ-series gas sensors. For the implementation of the system, the ESP32 microcontroller platform was selected due to its capabilities for data acquisition, processing, and wireless transmission.
The structure of the automated monitoring system, its functional scheme, and the operating algorithm were developed. The system utilizes MQ-7, MQ-131, and MQ-136 gas sensors for monitoring carbon monoxide, nitrogen oxides, and sulfur dioxide concentrations in the atmosphere. Data transmission, processing, and analysis are performed using modern software tools, including MATLAB, which provides visualization and analytical capabilities for environmental assessment.

The article analyzes the current state of development of solar energy; investigates the principle of operation of solar energy systems, factors affecting their efficiency, as well as modern methods of automatic orientation of photovoltaic modules relative to the position of the Sun. The features of using solar trackers to increase the efficiency of solar energy conversion are considered and an automated system for controlling the position of the solar panel is developed.

The object of the work is the monitoring, metering and balancing of energy consumption in a local smart-grid microgrid with distributed intelligent nodes.
The aim of the work is to develop an autonomous system for monitoring and optimization of energy consumption in a smart-grid microgrid, in which classical automation is complemented by an auxiliary AI agent for load forecasting.
The work analyses the current state of microgrid monitoring and control systems, substantiates a two-node architecture with intelligent metering nodes, a shared energy storage and a photovoltaic source, performs engineering calculations of the nodes, develops the control logic as a finite-state machine with priority load shedding, and designs an auxiliary forecasting agent based on double exponential smoothing.

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АСНК КПІ ім. Ігоря Сікорського, 2021