In indoor and outdoor atmospheric environments, fine particulate has been recognized as hazardous substances that may cause respiratory diseases. Thus, proper countermeasures to monitor and reduce fine particulate are required. In particular, atmospheric environments can be deteriorated by higher levels of PM2.5 when fine mineral particles such as fly ash from coal-fired power plants are discharged into the atmosphere. To resolve this problem, effective monitoring of PM2.5, among various other countermeasures, is important for fine dust management. The monitoring performance can be enhanced by integrating the monitoring with information technology (IT), which has been developing rapidly. For fundamental research to test the effectiveness of a monitoring system, it is desirable to select a test particulate with a single composition (alumina: Al₂O₃) and a narrow range of particle sizes (~0.5 μm) to minimize unknown variations of particle behaviors with composition and particle size. In addition, a test chamber can reduce the sensitivity and possible occurrence of errors resulting from changes in air conditions. Therefore, in this study, a test set was proposed through the construction of a test chamber and a low-cost PM sensor for fine particulate experiments integrated with sensor monitoring. This study is expected to contribute greatly to the development of a future IT-based intelligent program capable of predicting the behaviors of fine particulate.