Abstract
The main sources of biomass for biogas units can be organic waste, grain, hay, manure, various plant materials, etc. Anaerobic digestion, which consists of a series of complex biological reactions, is a challenging process that requires detailed parameter control to prevent possible losses and to make best use of the material. Therefore, the purpose of this study was to consider the possibility of developing a mobile unit for monitoring the parameters of the plant environment during biogas production with the possibility of storing data and using them in the construction of a mathematical model for predicting gas yield. The algorithm was created based on the principles of fuzzy logic and the structure of neural networks. The architecture of a mobile system for monitoring plant environment parameters for biogas production was proposed. The developed circuit diagram of such a system was presented. The system’s operation was presented in the form of a created algorithm for searching and identifying connected devices on the 1-Wire bus. This bus is used to poll sensors and measure process parameters. Software was developed for interfacing several types of sensors, transferring and saving data to the cloud storage with the subsequent possibility of processing it. The biomass can be photographed using the built-in camera. Using the principle of Internet of Things technology, remote access to measured data is provided. The measured process parameters and photos are transferred to the control system server for further analysis, which will allow for a more accurate assessment of the biomass preparation process for fermentation. The obtained results allow improving the control and decision support systems for biomass loading into a biogas unit