Indoor airborne dust concentration is one of the most adverse factors for human health. Especially, inhalable fine particles under 2.5micrometres in diameter (PM2.5) easily permeate into human body causing serious respiratory diseases. The problem is that the air pollutions are hard to be detected with human sense organs alone. Therefore, the development of an effective method to figure out the indoor air quality should be combined with other political approach. Moreover, measuring wide range of indoor environment continuously became affordable because of diverse sensors become downsized and low-priced. In this regards, as the way to collect and intuitively visualize the indoor dust concentration data, this paper proposes an integrated approach to the visualization of indoor dust concentration on the building floor plans. The entire system consists of four major stages: 1) Dust concentration measurement, 2) Data processing, 3) Layer generation and 4) Data mapping. The sensor toolkit was implemented with Arduino Uno Board and Optical dust sensor (GP2Y1010AU0F), which is able to measure fine particles over 0.8um at maximum. In short, this paper proposes a way to visualize of indoor dust density.