Liquefied Petroleum Gas Concentration Monitoring System with Alarm and Cloud-Based Logging

Leakage of liquefied petroleum gas (LPG) has hazardous impacts on human beings which, if not cautiously attended to, can cause fire outbreak and asphyxia when inhaled in high concentration. LPG concentration measurement, monitoring, and control have been vastly researched; however, the aspects of sensor characterization and system performance assessment, using simulation and emulation responses considered in this study have not received adequate attention. The sensor dynamics model equations were used to graphically characterize the MQ-6 gas sensor. The ATMEGA328 microcontroller was used for signal conditioning and data processing due to its low power consumption and high processing speed. An assessment method was employed for the developed system, in which the degree of agreement between the system simulation and emulation responses were used as the metric for the system performance evaluation. The percentage absolute errors between the simulated and emulated responses were 0.02% (minimum) and 2.67% (maximum). The alarm activation occurred at the set value of 1000 ppm of LPG.