SOFTWARE AND HARDWARE OF THE SUBSYSTEM FOR MEASURING TECHNOLOGICAL PARAMETERS OF THE BIOGAS PRODUCTION PROCESS USING THE INTERNET OF THINGS
<ns0:p>The article considers the issue of building a model of a subsystem for measuring technological parameters of the biogas production process. The specified measurement subsystem will collect data on the fermentation process of biomaterials (organic raw materials) for an intelligent control system for the technological process of biogas production. In this case, the type of organic raw materials used will be indicated in the data collection process. This is necessary for forming a control action in the algorithm of the functioning of the automated biogas production control system. The features of anaerobic biomass fermentation are analyzed and the main technological parameters are indicated from the analysis of literary sources. This affects the efficiency of the biogas production process. A model of the measurement subsystem is proposed, which is considered as a technical tool for measuring parameters of the fermentation process of organic raw materials, while the specified approach is implemented using Internet of Things technologies. The structure of the hardware of the measurement subsystem is developed and calculations of measurement errors of the information and measurement channel are given. The implementation of the Internet of Things technology is presented on the basis of the created web server, which operates on the principle of a client-server system using HTTP requests. The developed model of the subsystem for measuring technological parameters provides for measurements in the real-time system, and all measurement data will be stored in a separate file to non-volatile memory, namely to a micro-SD memory card. The measured data file will be stored in CSV format, which will allow data to be processed via cloud services or the Microsoft Office Excel application package. The specified approach will also allow data systematization and the possibility of prompt adjustment, if necessary, of the technological process. The functionality of the proposed model of the subsystem for measuring technological parameters can be increased by improving software and hardware.Received 2026-03-17Accepted 2026-04-14</ns0:p>
Authors
- Lendiel Taras
- Yevtushenko Maksym
- Safina Olga
Publication Details
- Journal
- Information technologies in economics and environmental sciences
- Published
- 2026-04-22
- DOI
- https://doi.org/10.31548/itees.2026.01.054
- Primary Topic
- Advanced Scientific Research Methods
- Type
- article
- Field-Weighted Citation Impact
- 0.00