In my diploma project, an automated fire detection system based on the Arduino board was created. The purpose of this work is to ensure timely detection of fire using a fire sensor module and notify the user about the detection of danger.
In the process of research, an analysis of existing systems was revealed, their pros and cons were also clarified. The choice of hardware and software was considered. The electrical circuits of this system were created, a program code was written to process signals from the fire sensor module and output a notification to the port monitor in the Arduino IDE environment. Then the system was supplemented with sound and visual notification using LEDs.
The diploma project is dedicated to the development of an automated device for measuring the onset time of blood coagulation using the impedance method based on the AD5933 microchip. The goal of the work is to create an accessible, portable, and accurate tool for monitoring the coagulation properties of blood in both clinical and home settings.
Impedance spectroscopy is a promising technology that allows for the detection of changes in the electrical resistance of biological tissues, particularly blood, during the coagulation process. In this work, the AD5933 is used to generate a sinusoidal signal and analyze the complex impedance response of the sample through digital Fourier transformation. An STM32 microcontroller is used to read data via the I²C interface, compute the impedance magnitude and phase, normalize the impedance, and perform real-time analysis.
This qualification thesis is dedicated to the development of a modern web application for a network-based fire threat detection system operating in real-time. The work emphasizes the relevance of fire safety issues amid the increasing complexity of engineering infrastructure, growing loads on electrical systems, and the rising risk of fire outbreaks. Traditional systems typically react to the physical presence of fire indicators such as smoke or elevated temperature, whereas the proposed solution focuses on preventive detection by continuously monitoring critical parameters: temperature, humidity, voltage surges, gas concentrations, and more.
The theoretical part analyzes the physical principles of combustion, approaches to sensor signal processing, modern methods for false alarm filtering, and architectural features of intelligent safety systems. The research confirms the effectiveness of combining traditional detection methods with innovative approaches, including the use of machine learning algorithms, multiparametric analysis, and adaptive filtering.
The bachelor's degree project focuses on the relevance of the issue of automation of the technological process of replacing fuel elements (TVELs) at nuclear power plants. Due to the increased danger, complexity of the design and limited access to the service area, the need was identified to develop a robotic manipulator that will ensure safe, accurate and reliable manipulation of fuel elements.
On the basis of an analytical review of the current state of nuclear energy, the design of fuel cells and methods of their movement, a technical assignment was formed for the development of an electromechanical manipulator with a mechanical grip.
As part of the project, a three-dimensional 3D-model of the structure was designed and a physical prototype of the device was built.
The design of the manipulator involves a modular construction with three degrees of freedom along the coordinate axes of the abcys (X), ordinate (Y), applique (Z) and a gripping mechanism of the "grab" type. The grip is equipped with a claw angle adjustment system, which allows adaptation to the geometric features of fuel elements. To implement accurate positioning, stepper motors 28BYJ-48 with gearboxes controlled by the Arduino Mega 2560 Rev3 microcontroller were used. The electrical circuit of the system contains voltage stabilizers, operational amplifiers and key protection elements that ensure stable and safe operation of the entire system.
The explanatory note of the diploma project consists of a list of symbols and abbreviations, an introduction, four main chapters, general conclusions, and a list of references. Contains 76 pages of main text, 35 illustrations, 2 table, and 22 literary sources.
The aim of the diploma project is to analyze modern technological solutions and automation systems used in the agricultural industry, followed by the assessment of their impact on production efficiency and product quality, particularly in the context of solving the problem of grain weight dosing. Subsequently, the system structure and an example of its implementation will be developed.
