空氣汙染(air pollution)是近年來所為人關注的議題之一，而空氣汙染指的是一些會讓人身體健康遭受危害的汙染物質。這些物質可能是氣體、液體、固體的懸浮物質。根據WHO在2014年的報告中指出，在2012年時，空氣汙染所造成的死亡人數就有 700 萬人之多，這也使得監測空氣汙染數值以及對空氣汙染防制和避免成為眾人逐漸重視的事情。其中懸浮微粒PM2.5更是近幾年來備受關注的汙染物，也有許多研究指出PM2.5會對人體造成一定程度上的危害，舉凡長期處於高濃度PM2.5環境下所誘發的肺癌、心肌缺血及損傷。
為了給民眾有關於空氣汙染的資訊，環保局設立了許多監測站來觀測自然環境中的資料。但監測站所在的區域並不能代表小區域的數值。舉例來說，臺大醫院醫生在廟宇內所量測的資料與當下環保局監測站所量測到的資料是有所差距的。因此，為了能夠收集到小區域的環境數值，我們透過參與式感知網路(Participatory Sensing)的方式並且融入方便攜帶於身上的穿戴式裝置來收集到較小區塊的數據，且為了讓我們所製作的穿戴式裝置夠小、夠輕盈也非常平價且不會影響到用戶的動作，我們選擇了如一元硬幣大小的微處理器控制板。但也礙於此種大小的控制板有其資源限制，加上必須要能夠傳輸所測量到的資料，所以我們加入了壓縮感知(Compressive Sensing)的技術，讓電量的消耗能夠有所減少，增加穿戴式裝置的使用時間，降低耗電量對使用者所造成的負擔。
在本論文中會透過Beetle 結合 G3 PM2.5 感測器以及 HC–05 Bluetooth module 的硬體來達成參與式感測網路的實作，再以腳踏車使用者為參與式感測網路的主要使用者，並融入壓縮感知的技術用以節省電量消耗且在壓縮感知的計算與傳輸資料的消耗比較上，壓縮感知以每byte的耗電量0.00016 mJ 遠小於傳輸每byte資料的耗電量0.32 mJ。除此之外，更製作了簡易明瞭的應用程式供一般民眾蒐集資料以及觀測資料之用，藉此可以提醒使用者減少出入該區域的次數以維護自身健康。

Air pollution is one of the concerns of people in recent years, and air pollution refers to some of the pollutants that can harm people's health. These pollutants may be gas, liquid, solid suspended matter. According to the WHO report in 2014, the number of deaths caused by air pollution in 2012 was as high as 7 million people, which also made it possible to monitor air pollution data and prevent and avoid air pollution becoming more and more important thing. Among them, PM2.5 is a pollutant of most concerned issue in recent years, there are many studies have shown that PM2.5 will cause a certain degree of harm to the human body such as lung cancer, myocardial ischemia and injury induced by stay in high concentrations of PM2.5 for a long time.
In order to give people information about air pollution, the EPA has set up a number of monitoring stations to observe the information in the natural environment. But the area where the monitoring station is located does not represent the data of the small area. For example, NTU hospital doctor measured PM2.5 data in the temple of Taipei and compare with the current EPA monitoring station to measure the information is a gap. Therefore, in order to be able to collect the environmental data of the small area, we collect the data of the smaller blocks through the method of the participatory sensing and the wearable device that is easily carried on the body. And in order to allow us to make the wearing device is small enough, light, very affordable and will not affect the user's action, we chose a dollar coin-sized microprocessor control board. But also because of the size of the control panel has its resource constraints, coupled with the need to be able to transmit the measured data, so we added the compressive sensing technology, so that the consumption of electricity can be reduced, extend the wearing device’s use and reduce the burden on users by reduce power consumption.
In this paper, through the Beetle combined with a G3 PM2.5 sensor and HC-05 Bluetooth module hardware to achieve the implementation of participatory sensing network and we focus on the biker for the main participator to collect data and uses the compressive sensing technology to reduce extra power consumption. Compare with the power consumption between with compressive sensing computation cost 0.00016 mJ per byte and data transportation cost 0.32 per byte mJ, the power usage of compressive sensing computation is far lower than data transport. In addition, an easy-to-use application is created for the general public to collect information and use of observational data, this allows users to be reminded to reduce the number of visits to the region to maintain their own health.

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