Issue |
SHS Web of Conf.
Volume 166, 2023
2022 International Conference on Education Innovation and Modern Management (EIMM 2022)
|
|
---|---|---|
Article Number | 01060 | |
Number of page(s) | 6 | |
DOI | https://doi.org/10.1051/shsconf/202316601060 | |
Published online | 05 May 2023 |
The temperature and pressure Remote intelligent control system for biogas digester based on STM32
North Minzu University, School of Electronics and Information Engineering, Yinchuan, 750021 China
* Corresponding author: wsyvivi@163.com
The application of biogas digesters in modern life has become more and more extensive. However, the current level of automation in biogas management was too low. and people are afraid of odor and dirty when operating biogas fermentation. In order to solve the shortage of modern energy and improve the safety and efficiency of biogas digesters, a temperature and pressure remote intelligent control management system based on STM32 for biogas digesters was designed. This system took STM32 as the main control chip, through the DS18B20 and PMS pressure measurement module for temperature and pressure measurement, combined with ESP 8266 01sWiFi module and cloud platform for data transmission communication and storage, and then displayed to the user by the QT software interface, the remote intelligent control of the biogas digester in the cloud was realized, so that the efficiency and safety management of the biogas digester were could improved. This management system of the biogas digester would promote the energy industry and sustainable development of human beings and facilitated rural revitalization.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.