IOT based Microorganism Detection and Filtration System

Abstract

The Internet of Things (IoT) has enabled the devel- opment of innovative solutions in various fields, and one of the promising applications is in the area of microorganism particle filtration. In this study, an IoT-based system for microorgan- ism particle detection and filtration and efficiency testing was developed. The system uses a microorganism particle filtration device equipped with sensors and actuators that enable real- time monitoring and control of the filtration process. The IoT platform allows for remote monitoring and data collection, which can be used to optimize filtration efficiency and reduce operating costs. Efficiency testing was carried out by introducing known concentrations of microorganisms into the filtration system and measuring the reduction in concentration at the outlet. The results showed that the system was able to effectively filter microorganisms with a high degree of efficiency, and the IoT- based platform provided valuable insights into the filtration process. According to our findings in this study, we achieved almost 90% efficiency applying the filtration system in the K95 and the surgical mask after it had been used for 6-7 hours, which is closer to the initial efficiency of 95%. Thus, it can be used a second time but after that, the efficiency drops, and it is recommended not to use. Overall, the IoT-based microorganism particle filtration and efficiency test system presented in this study has the potential to revolutionize the field of microorganism filtration, providing a cost-effective, efficient, and sustainable solution for a wide range of applications.