AirNet is a data platform for real-time monitoring, visualization, early alert and forecasting of air pollution.
We provides seven types of interactive charts. By building LSTM(Long Short-Term Memory) model based on seq2seq(sequence to sequence) architecture, we achieve short-term, medium term and long-term forecasting, from one day to one year.
By using 'Air Pollution Alert' module, if the lastest air pollution over the limits you setted before, it will send a email to alert you.
You can use API to get the history data, forecasting data and the lasetest data, or just directly export data to csv file.
- Crawler
- Visualization
- Air Quality Rank
- PM2.5 Forecasting
- Air Pollution Alert
- Data Export
- API
The API returns data include the following.
| Field | Content |
|---|---|
| request_site | User Request Site |
| data | Return Data |
| time | Air Pollution Monitor Time |
| city | Monitoring Site’s City |
| site | Monitoring Site |
| aqi | Air Quality Index(AQI) |
| level | The level of Air Quality Index |
| pm25 | Hourly Average of PM2.5 |
| pm10 | Hourly Average of PM10 |
| co | Hourly Average of CO |
| no2 | Hourly Average of NO2 |
| ozone1hour | Hourly Average of Ozone |
| ozone8hour | Eight Hours Average of Ozone |
| so2 | Hourly Average of SO2 |
The meaning of URL and parameters are as follows.
| URL/Parameters | Content |
|---|---|
| site | Monitoring Site, e.g. jingan,hongkouu |
| pollution | Air Pollution, e.g.so2,pm25, when this value equalsall, API will return the whole data |
| start | Start Time, e.g. 2018-01-01 01:00:00, because the data source is updated once hourly, the part of minutes will be ignored |
| end | End Time, e.g. 2018-01-01 01:00:00, because the data source is updated once hourly, the part of minutes will be ignored |
api/history/site/pollution?start=start_time&end=end_time
api/history/jingan/so2?start=2018-02-10 10:00&end=2018-02-23 20:00
{
"request_site": "jingan",
"data": [
{
"time": "2018-02-10 10:00:00",
"so2": "15"
},
{
"time": "2018-02-10 11:00:00",
"so2": "22"
},
...
{
"time": "2018-02-23 20:00:00",
"so2": "11"
}
]
}
api/lastest/site/pollution
api/lastest/yangpusipiao/all
{
"request_site": "yangpusipiao",
"data": [
{
"time": "2018-04-30 23:00:00",
"city": "上海",
"site": "杨浦四漂",
"aqi": 53,
"level": "良",
"primarypollutant": "细颗粒物(PM2.5)",
"pm25": "37",
"pm10": "97",
"co": "0.8",
"no2": "88",
"ozone1hour": "68",
"ozone8hour": "170",
"so2": "11"
}
]
}
api/forecast/site?start=start_time&end=end_time
api/forecast/jingan?start=2018-05-10 10:00&end=2018-05-23 20:00
{
"request_site": "jingan",
"data": [
{
"time": "2018-05-10 10:00:00",
"forecast_pm25": "40.526"
},
{
"time": "2018-02-10 11:00:00",
"forecast_pm25": "36.15"
},
...
{
"time": "2018-05-23 20:00:00",
"forecast_pm25": "52.201"
}
]
}
