使用非侵入式檢測方法進行微型PM2.5感測器健康評估之研究

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2020

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本研究的主要目的,便是希望研究微型PM2.5感測器的性能老化進程,來建立標準的評估方法,檢測微型PM2.5感測器的效能,進而能預先提出預警,藉以汰換老化嚴重的感測器。 在我們標準化的評估方法中,我們設計簡易的檢測裝置,量測感測器帶動氣流的風扇之各項效能,透過分析其轉速、頻率等性質,參考其運轉時間與外在變因,透過實地訪查大量不同時間地點佈建的機器,建立感測器的健康指標,並進而針對不同時期於不同地點安裝的機器,提出汰換時程的具體建議。 本項研究成果,除了提供簡易的微型PM2.5感測器自我檢測方式外,也提供未來大型空品物聯網在規劃、佈建與維運的參考依據,同時也有機會延伸本研究所提出的非侵入式檢測方式,發展其他環境物聯網感測器的標準檢測方法,促進未來大型環境物聯網的發展。
The main purpose of the research is to identify the aging performance of PM2.5 sensor in order to establish the standard evaluation approach and publish the early warning to replace aging severely sensors. In our standard evaluation approach, we designed the simple diagnostic device to measure sensor fan airflow performance and suggest the replacement schedule through analyzing rotating speed, audio frequency, runtime, environment variables and field survey for PM2.5 sensor which deployed in different time and place. The research achievement provided simple self-test for PM2.5 sensor and the reference of planning, deployment and maintenance for future advanced Internet of Things system for air quality monitoring. Also, there is the opportunity to further extend the non-invasive test from our research to other IoT sensor for great development in the future.

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微型感測器, PM2.5, 物聯網, 老化分析, 音頻, 流量, Microsensor, PM2.5, Internet of Things, Aging analysis, Audio frequency, Flow

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