Система керування двигуном постійного струму з оптимізацією тривалості перехідного режиму
Автор: Горун Роман Андрійович
Кваліфікаційний рівень: магістр
Спеціальність: Комп'ютеризовані системи управління та автоматика
Інститут: Інститут комп'ютерних технологій, автоматики та метрології
Форма навчання: денна
Навчальний рік: 2023-2024 н.р.
Мова захисту: українська
Анотація: One third of the food people eat today depends on honey bees. Every year, these tiny insects pollinate billions of crops around the world. There has been no rapid development of beekeeping in the last few hundred years. Industrialization, which came in the 20th century, bypassed this industry. Most beekeepers still use simple wooden hives and centuries-old methods of collecting honey and caring for bees. Therefore, the task of monitoring and automating apiaries is urgent. The purpose of the work is the creation of hardware and software, with the purpose of collecting data on apiaries, and automation using artificial intelligence methods. The introduction substantiates the relevance of the subject of the master’s qualification work. In the first chapter, an overview of the biggest pests of the apiary, an overview of the possibilities of IoT technologies and artificial intelligence for the apiary was carried out. Existing solutions were analyzed and their disadvantages were identified. The second section presents the main tasks, structure and algorithms of the system. A number of software and hardware solutions have been identified. The third section is devoted to the development of software and hardware for the designed system. An external image analysis device has been developed for the hive, using artificial intelligence methods, based on the ESP32-CAM microcontroller. The bees use this module as a tunnel entrance to the hive, during which the AI analyzes the images and searches for pests, namely Varroa mites. A user interface was also implemented to display information about hives, and the backend part, which is an intermediate link between the hive and the user interface. The apiary controller sends the collected data to the server where it is stored, and the client part, in turn, receives data from the server. Key words: pests, apiary, beehive, artificial intelligence, model. List of sources used: 1. “The Plight of the Honeybee” article in Time Magazine August 19, 2013. 2. Pan-European epidemiological study on the loss of bee colonies. [Electronic resource]. Access mode: https://ec.europa.eu/food/system/files/2017-04/la_bees_epilobee-report_2012-2014.pdf 3. Frequency analysis of bee sound for automatic health recognition. [Electronic resource]. Access mode: https://www.rcs.cic.ipn.mx/2017_142/ Frequency%20Analysis%20of%20Honey%20Bee%20Buzz%20for%20Automatic%20Recognition%20of%20Health%20Status.pdf 4. О.І. Черняк, П.В. Zakharchenko. Data mining. Kyiv 2010. 5. E. Belik. Large and modern guide to beekeeping. Kyiv 2016. 6. Like artificial intelligence, the Internet of Things and big data can save bees. [Electronic resource]. Access mode: https://www.forbes.com/sites/ bernardmarr/2020/04/22/how-artificial-intelligence-iot-and-big-data-can-save-the-bees/?sh=2ecd8e701d9e