Optical properties of asbestos were analyzed with aid of chromameter and spectral sensor for wireless indoor air monitoring sensor network system. To achieve a highly selective recognition, different color filters were utilized to monitor the chrominance value and wavelength changes. LabVIEW based data matching program was developed to separate asbestos from other particulate matters by matching chrominance value and wavelength of asbestos simultaneously. We suggest these optical data for the future optical property based wireless asbestos sensor network development as a part of smart indoor air monitoring system.
목차
Abstract I. INTRODUCTION II. EXPERIMENTAL METHODS III. RESULTS AND DISCUSSION IV. CONCLUSION REFERENCES
Hosang Ahn [ Environmental Engineering Division Korea Institute of Civil engineering and building Technology (KICT) Goyang, Korea, Department of Construction Enviroment Engineering, Korea University of Science and Technology, Daejeon, Korea ]
Hanna Kim [ Environmental Engineering Division Korea Institute of Civil engineering and building Technology (KICT) Goyang, Korea ]
Jae Roh Park [ Environmental Engineering Division Korea Institute of Civil engineering and building Technology (KICT) Goyang, Korea, Department of Construction Enviroment Engineering, Korea University of Science and Technology, Daejeon, Korea ]