Paper Title
Developing A Smart Carbon Monoxide Sensing System With Quantized Concentration Weighting

Abstract
Currently available commercial carbon monoxide detectors provide alarm functions that are responsive to specific hazardous concentration threshold settings, in which changes in carbon monoxide concentration are not considered. When carbon monoxide is at a concentration too low to reach the threshold such that the alarms fail to identify the hazard, exposure to excess cumulative carbon monoxide may have had already caused chronic health problems for the people exposed to the hazard. Therefore, this study developed a modification strategy by first establishing a model house with multiple compartments, in which different concentrations of carbon monoxide were injected. The changes in carbon monoxide concentrations in each room were simulated according to diffusion theory to explore the effect of operating conditions and distance of indoor rooms on gas diffusion behavior. In addition, this study involved the inference of quantification indicators for carbon monoxide concentration and exposure time to modify alarm systems. The distinct carbon monoxide concentration data in separate rooms and under distinct modes were analyzed along with alarm activation time; moreover, the concentration data were transmitted to a man–machine interface through wireless transmission to achieve the automatic alarm and monitoring objectives. Index Terms—Automatic Monitoring, Carbon Monoxide Detection, Diffusion Theory, Wireless Transmission.