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Energy-efficient atmospheric CO concentration sensing with on-demand operating MOX gas sensor

机译:通过按需运行的MOX气体传感器实现节能的大气CO浓度传感

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Collaborative mobile air-pollution monitoring, employing context aware sampling scheduling, requires on-demand sensing of gas concentration. If MOX gas sensors are used, their energy consumption can be reduced by on-demand heating, with a risk to compromise the sensing repeatability. We experimentally investigate response of MiCS-5525 CO MOX sensor to intermittent heating sequences consisting of a train of short rectangular pulses. We analyse stability of response, energy consumption and sensitivity at low concentrations, for various combinations of pulse waveform period and duty-cycle. We obtained stable readings for the heating sequences consuming 200–300 mJ, saving over 30% of energy per reading.
机译:协同移动空气污染监测采用情境感知采样计划,需要按需检测气体浓度。如果使用MOX气体传感器,则可以通过按需加热来降低其能量消耗,并有损害传感重复性的风险。我们通过实验研究了MiCS-5525 CO MOX传感器对间歇加热序列的响应,该间歇加热序列由一系列短矩形脉冲组成。我们分析了脉冲波形周期和占空比的各种组合在低浓度下的响应稳定性,能量消耗和灵敏度。对于消耗200-300 mJ的加热序列,我们获得了稳定的读数,每个读数节省了30%以上的能量。

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