Development of an IoT system for monitoring quality of food products
Students Name: Berezina Anastasiia Arturivna
Qualification Level: magister
Speciality: System Design
Institute: Institute of Computer Science and Information Technologies
Mode of Study: full
Academic Year: 2024-2025 н.р.
Language of Defence: ukrainian
Abstract: Berezina A.A., Korpylov D.V. (head). Development of an IoT system for monitoring the quality of food products. Master’s thesis - Lviv Polytechnic National University, Lviv, 2024. The purpose of this research is to develop an IoT system for monitoring food storage conditions, which will use DS18B20, DHT21 temperature sensors and an AMG8833 thermal imaging camera in combination with the ESP32 platform. The system will allow monitoring the temperature of products in real time, transfer this data via the Internet and provide automated notification of critical changes in storage conditions. One of the most promising approaches to solving the problem of food storage is the use of Internet of Things (IoT) systems, which allow continuous monitoring and analysis of temperature conditions in real time. IoT systems provide the ability to read data from sensors and transfer them to a server for further analysis and storage. This enables users to react quickly to deviations from the set temperature limits, preventing product spoilage. Among the challenges that must be considered is ensuring the accuracy of the measurements, as this depends on the effectiveness of the system in preventing product spoilage. Energy efficiency is also important for long-term autonomous operation. Reliability of data transmission is crucial because the system works in real time. In addition, cyber security and information protection must be ensured, as well as algorithms for accurate analysis of heat map data must be developed. Considering these challenges, the implementation of an IoT system for monitoring the temperature conditions of food storage using DS18B20, DHT21 and AMG8833 sensors in combination with the ESP32 platform becomes an important step to improve the safety of products and their long-term storage. This work is relevant both from a technical and an economic point of view, as it helps to reduce food losses and increase the efficiency of logistics processes. The task of the master’s thesis is to develop an IoT system for monitoring and ensuring optimal temperature conditions for product storage. The main tasks of the research: • Conduct an analysis of existing IoT systems for monitoring the temperature conditions of product storage. • Learn the principles of DS18B20, DHT21 temperature sensor, AMG8833 thermal camera and ESP32 platform. • Develop a hardware part of the system capable of reading temperature indicators and transferring them to the server for further processing. • Create software for collecting, processing and visualizing data from sensors, with the ability to monitor conditions in real time. • Test the system in real conditions to assess its performance under different conditions of product storage. • Assess the accuracy of system measurements and determine its effectiveness in preventing violations of optimal storage conditions. The scientific novelty of this master’s thesis is the integration of sensor technologies into a single IoT system for automated monitoring of product storage conditions. The main aspects of the novelty of the study include: • The integration of the DS18B20, DHT21 temperature sensor and the AMG8833 thermal imaging camera creates a combined monitoring system that allows you to both track accurate temperature data and visualize heat maps. This is a unique approach to controlling temperature zones in the storage environment, which allows you to detect cold and hot areas on the surface of products, preventing spoilage. • The use of the ESP32 platform ensures data processing and transmission to a remote server, allowing real-time monitoring. This distributed monitoring system creates the possibility of prompt response to violations of storage conditions. • Optimization of the algorithms for collecting, processing and transmitting data from sensors increases the efficiency of the system, reducing delays in the transmission of results. This allows you to receive data in a timely manner for a quick response to changes in the temperature environment. • Implementation of a system of warnings via the Internet (for example, e-mail, SMS, push-messages) in cases where temperature indicators go beyond the norm provides instant information to users about possible threats of product spoilage. • The study of the effectiveness of the application of combined sensors in the context of IoT is aimed at ensuring food safety. The system developed in this work can become a prototype for wider application in warehouses, supermarkets, food industry enterprises and when transporting products. Thesis project contains: 82 articles, ___ figures, ___ tables, 33 references to the sources used. Keywords: Internet of Things (IoT), Temperature Monitoring, Product Storage Security, Sensor Integration, ESP32 Microcontroller, DS18B20 Temperature Sensor, AMG8833 Thermal Imaging Camera, Data Transfer, Cloud Storage, Real-time Monitoring, Wireless Communication, Temperature Alert, Thermal Imaging . List of used literature sources: 1. Y. Gu, W. Han, L. Zheng, and B. Jin, "Using IoT Technologies to Resolve the Food Safety Problem – An Analysis Based on Chinese Food Standards," in Web Information Systems and Mining: International Conference, WISM 2012, Chengdu, China, October 26-28, 2012.Proceedings, F. L. Wang, J. Lei, 2. Adafruit Industries. DS18B20 Digital Temperature Sensor Data Sheet. Adafruit, 2020. [Online] Available at: https://www.adafruit.com/product/374 3. DFRobot. AMG8833 Thermal Imaging Camera. DFRobot, 2021. [Online] Available at: https://www.dfrobot.com/product-1677.html 4. Banzi, Massimo, and Shiloh, Michael. Getting Started with ESP32. O’Reilly Media, 2021. 5 X. Zhao, H. Fan, H. Zhu, and H. Fu, "The Design of the Internet of Things Solution for Food Supply Chain," presented at the 2015 International Conference on Education, Management, Information and Medicine, 2015 6. Munir, Kashif. Internet of Things: Applications and Challenges. Springer, 2020. 7. Zigbee Alliance. IoT Protocols for Industrial Automation. IEEE, 2019. 8. Guerrero, Jose. Practical IoT Projects with ESP32: Monitoring and Automation. Apress, 2022. 9. Finkenzeller, Klaus. RFID Handbook: Fundamentals and Applications in Contactless Smart Cards and Identification. Wiley, 2019. 10. Zhu, Hongke, et al. Smart Sensors Networks: Principles, Applications, and Future Trends. Elsevier, 2020. 11. Raza, S., et al. Internet of Things for Healthcare: Security, Privacy, and Scalability. IEEE Transactions on Industrial Informatics, 2019. 12. Bucella, I., et al. IoT-Based Systems for Smart Environments. Springer, 2021. 13. Al-Fuqaha, Ala, et al. Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications. IEEE Communications Surveys & Tutorials, 2020.