AIS_Collision

Yangtze river estuary collision risk distribution

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Geojson data for the channel of Yangtze River(Polygon)

The channel of Yangtze River(Polygon)

Code Structure

• _Time

  • ParseTime.py "%Y-%m-%d %H:%M:%S" -> datetime(year, month, day, hour, minute, second)
  • TimeStamp.py date_range(start, step, end)

• Area

  • Grid.py class Grid

    • area_id: grid index(网格编号)
    • gridlon_: np.arange(120, 126, 0.5) (网格经度范围)
    • gridlat_: np.arange(30, 36, 0.5) (网格纬度范围)
    • griddelta: 0.5 (网格间隔)

  • Vessel.py class Vessel(Grid)

    • args:

      •           |————MMSI
                  |————TIME
          AIS ————|————LON
                  |————LAT
                  |————COG
                  |————SOG
        

    • area_id: same as Grid.area_id
    • gridlon_: same as Grid.gridlon_
    • gridlat_: same as Grid.gridlat_
    • griddelta_: same as Grid.delta_

• CPA

  • DCPA_TCPA.py

    • distance method: distance between tar_ship and ref_ship(目标船与参考船之间的距离)
    • mid_point method: the half-way point along a great circle path between the two vessels(目标船与参考船之间中点地理位置)
    • bearing method: initial bearing(方位)
    
    • cpa method: return DCPA, TCPA(计算两船在同一AIS时刻下的DCPA和TCPA)

• DataProcess

  • channel_geojson Geojson data for the channel of Yangtze River(Polygon)
  • Meta_Data Meta_Data queried from the mongodb database(csv format)
  • Final_Data_Result The final result!(csv format)
  • SourceData.py
    • Store the grid and list of ships in the grid(创建网格，将AIS数据按TIME存入grid中)
  • FinalData.py
    • Call the method in CPA.DCPA_TCPA, return the final result (调用CPA.DCPA_TCPA中有关方法，计算最终结果)
  • data_process.py
    • store result in the Final_Data_Result folder (计算结果存入Final_Data_Result文件夹)

• ShipDataInsert

  • Insert the AIS data into the mongodb database

• ShipDataQuery

  • Query the AIS data from the mongodb database and store it in "../../DataProcess/Meta_Data"

• main.py

  • use cartopy module to draw Yangtze river estuary collision risk distribution

未完待续...

Author: LPH，TIME: 2019年06月28日 下午15:15

Address 上海海事大学(Shanghai maritime university)

Email 664104221@qq.com