ARTICLE
14 June 2024
Multi-Plate Microbial Monitoring Terminal Based on Raspberry Pi 4B
Qirong Luo Xichang Cai Tongyuan Liu
Show Less
1 School of Information, North China University of Technology, Beijing 100144, China,
JERA 2024 , 8(3), 28–33; https://doi.org/10.26689/jera.v8i3.7196
© 2024 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

We utilized Raspberry Pi 4B to develop a microbial monitoring system to simplify the microbial image-capturing process and facilitate the informatization of microbial observation results. The Raspberry Pi 4B firmware, developed under Python on the Linux platform, achieves sum verification of serial data, file upload based on TCP protocol, control of sequence light source and light valve, real-time self-test based on multithreading, and an experiment-oriented file management method. The system demonstrated improved code logic, scheduling, exception handling, and code readability.

References
Yin D, Cai X, Chen J, et al., 2023, Design of Single Plate Microbiological Monitoring System for Scientific Research. China High-Tech, 14: 104–106 + 118. https://www.doi.org/10.13535/j.cnki.10-1507/n.2023.14.30
Zhang J, Li Y, Zhang Z, et al., 2023, Design and implementation of Raspberry Pi Intelligent Flower Watering System. Computer Knowledge and Technology, 19(19): 107–109 + 116. https://www.doi.org/10.14004/j.cnki.ckt.2023.1091
Shi J, 2022, In-depth Exploration of Common Serial Data Asynchronous Communication Protocols. Microcontrollers & Embedded Systems.2022(7): 26–29.
Chen D, Chen C, 2017, Discussion on the Application of Microbiological Picture Shooting Technology. Chin J Clin Lab Sci. 35(10): 729–735. https://www.doi.org/10.13602/j.cnki.jcls.2017.10.03
Yu Q, Guan Y, Huang W, et al., 2023, Research on Aquaculture Water Quality Monitoring Unmanned Boat System Based on STM32 and Raspberry Pi. Fishery Modernization. 50(5): 33–42.
Cao X, 2021, Design and Implementation of Pathogenic Microorganism Sample Processing and Incubation Photographing System, thesis, Xidian University.
Share
Back to top