Air quality

Deploy nationwide air quality network to provide people the real-time air quality and develop environmental IOT-sensor devices to strengthen domestic technology.

Why do we need to establish the air quality Internet of Things?
  • The public has a strong demand for daily air quality information, and the petition amount of environmental pollution incidents remains high.
  • Heavily polluted weather needs to be predicted accurately for emergency response.
  • A breakthrough in IoT technology and reduced deploy cost.
What does the Air Quality Internet of Things do?
Where are the air quality sensors deployed?
協助政府各單位及機關邁向智慧化治理及防救災
Deployment range and amount
By the end of 2020, in which the project ends, more than 13,400 points of micro air quality sensors will be built, covering more than hundreds of townships, counties, cities, primary schools, junior high schools, industrial parks and science parks. Moreover, the data measured by these micro air quality sensors can monitor air quality nearby more than ten thousands of factories.
How do we verify the performance of the air quality sensor?
The Taiwan EPA commissioned ITRI to build a sensor-performance testing and verification platform for the PM2.5 and gas sensors.
實地場域測試
Field test
Parallel comparison of the air quality sensor with the equipment in the national monitoring station, which fulfills the U.S. federal reference methods (FRM) and federal equivalent methods (FEM) and is widely applied in measuring the density of gases or polluting particles in the air.
實驗室測試
Lab test
Test the sensor performances, including intra-model variability, accuracy and precision, detection limit, linear correlation coefficient (R2), interference, climate susceptibility, and data recovery, in lab by changing accurately the particulate matter concentration within 0-300 µg/m³ and temperature and humidity in the chamber.
How to ensure the data quality of sensors?
The sensors deployed by the Environmental Protection Agency and the Environmental Protection Bureau will be tested and verified before being deployed, and will be compared with the standard monitoring station of the EPA. After the deployment, regular maintenance and irregular inspections will be conducted in order to ensure the quality of sensing data.
如何確保感測器數據品質
What types of the domestic air quality sensors are currently in development?
Optical PM2.5 sensing module
The MIT outdoor sensor for fine suspended particulates (PM2.5) is developed based on optical scattering, combining with a dual flow particle filtering channel and particle signal feature recognition to estimate mass concentration of 2.5 µm particulate matter in ambient air.
CO gas sensor
The CO gas sensor module developed by this project is with miniature size and low power consumption and can detect very low CO concentrations. Adopting MEMS technology, it’s able to integrate the gas sensing circuit and the micro-structure element into a tiny chip. By measuring the resistance change of the element, the sensing circuit converts the signal into a digitized gas concentration immediately. Combined with a temperature-controlled MEMS micro-heater and highly sensitive sensing materials, the stability, sensitivity and accuracy of the sensor are greatly improved.
Thin-film NO2 gas sensor

Because of structural defects, metal oxides such as zinc oxide (ZnO) have semiconductor properties. When the detect gas molecules are adsorbed on the surface of the metal oxide, the conductivity will change greatly. The gas concentration can be known by measuring the change in resistance. When the NO2 gas molecules are adsorbed to the surface of the sensing film, the resistance of the sensing chip will increase so that we can know the gas concentration. The sensor is operated by a smart phone via a wireless module. The resistance change of the sensing chip due to NO2 gas is recorded in an APP program and the gas concentration in the surrounding environment can be obtained. The sensing range is 5 ~ 1000 ppb with a resolution of 5 ppb.

What can we do after receiving the data?
Air quality analysis and forecast
空品分析和預報
  • High-resolution air-quality forecast
  • Early warning for air-quality changes.
  • Accurately forecast weather with anomalous pollution conditions
  • Reduce the damage of air pollution
  • Smart law enforcement.
Ex.The figures show a precise prediction on April 3, 2018 about that sandstorm in northwestern China would invade Taiwan after 3 days.
Air pollution potential analysis
Data integration and AI analysis
  • Inclusion of PRTR, CEMS, complaints of public nuisances, wind fields, and other related data, supplementing real-time analysis of potential pollutions and real-time alarming information
  • Pinpointing polluting hot spots and times with big data
分析污染潛勢
Detect abnormal pollution events
Back-office management of sensor data and abnormality management
Status of meters:
Display visually the KPI such as rate for displaying complete visualized data, equipment readiness, high-value abnormality rate.
Device abnormality:
List problematic devices with abnormal missing value, negative value, fixed value, or high value.
Abnormality statistics:
Display the rate of abnormal devices with statistics and charts (abnormal missing value, negative value, fixed value, or high value.
Alarming map:
Read real-time data of sensing devices on the map.
偵測異常污染事件
Retrace the air pollution events
Reconstruct, retrace and simulate air pollution events through animation in the past 72 hours.
污染事件回溯1
Air Web
Auxiliary environmental inspection
The inspectors will effectively arrange the limited manpower and time according to the analysis results.
輔助環保稽查
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