The topic of this work is related to the effective monitoring of ambient temperature, which is crucial for ensuring human comfort and safety. Temperature conditions in various environments significantly impact the quality of life and health, making temperature monitoring an essential aspect for industries such as manufacturing, science, medicine, and domestic applications. Traditional temperature measurement methods are often limited due to their high cost or complexity. Therefore, the development of an affordable, convenient, and portable system for real-time temperature measurement and monitoring is highly relevant today.
The advancement of new technologies offers opportunities to improve existing systems by reducing costs, increasing measurement accuracy, and enhancing data transmission speed. As part of this master’s thesis, a system was designed based on the MLX90614 pyrometer, which implements a data processing algorithm and transmits results to a cloud platform via a Wi-Fi connection using the ESP-01 module. The system ensures temperature registration, data transmission to the ThingSpeak platform, and allows for analysis, visualization, and user notification when predefined temperature thresholds are exceeded.
Objective and Research Tasks
The objective of the research is to improve signal processing algorithms and optimize temperature calculation algorithms to enhance measurement accuracy and data transmission speed. To achieve this objective, the following tasks were accomplished:
1. Analysis of existing temperature measurement methods and monitoring systems.
2. Development of a data processing algorithm for accurate temperature measurement.
3. Optimization of the algorithm for rapid data transmission via the ESP-01 module to the ThingSpeak platform.
4. Creation of an automated temperature monitoring system with real-time result visualization.
The object of the study is the processes of remote measurement and signal processing from pyrometers in automated temperature control systems. The subject of the study is the methods of non-contact temperature measurement, as well as algorithms for processing and transmitting data for further analysis. The research methods are based on the theory of non-contact temperature measurement, sensor signal processing, and algorithms for wireless data transmission for information visualization and analysis.
Scientific Novelty of the Results Obtained
1. A remote temperature monitoring system based on the MLX90614 pyrometer has been improved by applying a developed algorithm for optimized temperature data transmission via the ESP-01 module to the ThingSpeak platform.
Research advisor: A. Protasov