The Shinyei experiment
Real-time Air Quality readings from Beijing

For a complete list of all the Air Quality Sensors test on the World Air Quality Index project, check our sensor overview page.


For more information about those real-time dylos and BAM monitor PM2.5 and PM10 readings, please refer to our article on the Dylos Air Particule Counter experimentation.

If you want to know about other affordarable Air Quality Sensors such as Shinyei and Samyoung, check our sensor overview page.

Are cheap low-cost air quality sensor really worth?

There are many affordable and low-cost air particule sensor. The most famous one is definitely the Japanese Shinyei sensor, with a cost of around 75 CNY (12 USD), and it's Korean copy, the Samyoung sensor, with a cost of around 35 CNY (5.5 USD).

This objective of this experiement is to provide empiral data about the quality of those sensor, e.g. can they be used to acurately measure Air Quality, especially for outdoor data and polluted countries.

There are many research papers on this topic. The one most up-to-date at the time of writing is from David Holstius. Check it online here: field calibrations of a low cost aerosol sensor ( research paper).

Inside the low-cost sensor

Compared to the Dylos monitor, one could say that low-cost sensors are more like measuring the air opacity rather than individual particles:

The Dylos monitor works by counting individual particles, and classifying them by size (smaller than 0.5 and smaller than 2.5). By doing so, it is able to provide accurate values about the exact amount of dust particles in the air. And by knowing the typical "dust" type that is being measured, is it somewhat straight forward to deduct the total mass of particles.

The low-cost sensor, on the contrary, are not counting individual particles, but instead, counting the amount of time particles are detected by the photo diode sensor. The graph below represents how the Shinyei is "calculating" the air quality: First, it applies a pass band filter to remove very small particles or noise, which is represented by the red line. Then, independently of the intensity (or particle size), it counts the amount of time any particle is seen. This amount of time, also called "Low Pulse Occupancy" (LPO), can be considered as the "opacity percentage" of the air circulating through the sensor. In order to measure the LPO for different particles sizes, the sensor provide a variable input which allows to adjust the pass-band filter.

Shinyei PPD42NS raw diode reading
Shinyei PPD42NS raw diode reading (in volts)

Shinyei PPD42NS raw LPO reading
Shinyei PPD42NS raw LPO reading (in occupancy)

Experiment Setup

The low-cost particule counters used is this experiment are based on: The reference air quality meters are:
For the source code and hardware connectivity information, please refer to this page:

Note (December 18th 2014): Due to a wrong setup, the data is from the Samyoung is currently not available - it will added again later. Also, this experiment has been updated to use both Shinyei output, which are supposed to be able to reflect small and large particles.

Real-time data

Current Dylos readings are: Particules larger than 2.5 is -, larger than 0.5 is -, updated on - - (China time).

Current Shinyei readings are: LPO for particules larger than 1 is -, LPO for 2.5 is -, updated on - - (China time).

Time series graphs

From the previous graph (Shinyei vs. Samyoung), it is clear that the data generated by the Samyoung sensor is not at all reflecting actual air quality. In order to ensure that this issue is not caused by a deficient sensor, the sensor was replaced with a new one, but yet, no improvement were observed. For this reason, the Samyoung data will not be represented in the next plots. It is however interresting to notice that other resarch papers, such as the low-cost coarse airborne particulate matter sensing for indoor occupancy detection study (online ref) shows much better results for the Samyoung sensor, so this this something to be further investigated.


PM2.5 based Air quality data:
PM10 based Air quality data:

Initial findings

At first glance, the correlation for the Shinyei sensor seems to be much stronger from PM10 than PM2.5 readings. But, actually, it seems to be even more complicated since during some periods, the correlation to PM10 seems higher while for other periods, correlation to PM2.5 is higher. If this turns out to be true (which will require more data for the confirmation), that would mean that calculating the AQI from a Shinyei sensor could prove to be very arbitratary (see the PM10 vs. PM2.5 analysis).


For the list of all air quality sensors, check the Sensor Overview page

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대기질 및 환경 오염 측정에 관하여 :

대기질 지수 단계에 대하여

0 - 50 좋음 대기오염 관련 질환자군에서도 영향이 유발되지 않을 수준
51 -100 보통 환자군에게 만성 노출시 경미한 영향이 유발될 수 있는 수준
101-150 민감군영향 환자군 및 민감군에게 유해한 영향이 유발될 수 있는 수준
151-200 나쁨 환자군 및 민감군(어린이, 노약자 등)에게 유해한 영향 유발, 일반인도 건강상 불쾌감을 경험할 수 있는 수준
201-300 매우나쁨 환자군 및 민감군에게 급성 노출시 심각한 영향 유발, 일반인도 약한 영향이 유발될 수 있는 수준
300+ 위험 환자군 및 민감군에게 응급 조치가 발생되거나, 일반인에게 유해한 영향이 유발될 수 있는 수준
(Reference: see

대기질과 오염에 대해 더 많은 것을 알아보려면 위키피디아의 대기질 문서(영어)을 보거나 대기질과 건강에 대한 AirNow 가이드(영어)를 참조해보세요.

매우 유용한 베이징의 의학박사 Richard Saint Cyr MD의 건강 관련 팁을 보려면 의 블로그를 확인하세요.

사용안내: 모든 대기 질 데이터는 발행 당시에 검증되지 않았으며, 품질 보증으로 인해 이러한 데이터는 예고없이 언제든지 수정 될 수 있습니다. 세계 대기 품질 지수 프로젝트는이 정보의 내용을 편집함에있어 합당한 기술과 관심을 행사했으며 어떤 상황에서도 세계 대기 품질 지수 (World Air Quality Index) 프로젝트 팀 또는 그 대리인은이 데이터의 공급으로 인해 직접 또는 간접적으로 발생하는 손실, 상해 또는 손해에 대해 계약, 불법 행위 또는 기타의 책임을지지 않습니다.


언어 설정 :

Temperature unit: