CN114596731A - AIS-based ship navigation process meteorological sea condition data fusion processing system and method - Google Patents
AIS-based ship navigation process meteorological sea condition data fusion processing system and method Download PDFInfo
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Abstract
The invention provides a system and a method for carrying out fusion processing on meteorological sea condition data in a ship sailing process based on AIS (automatic identification system). in the method, meteorological sea condition data are superposed in the playback of a ship historical track, so that the meteorological sea condition conditions on a ship route can be mastered at any time in a return visit process, and reference basis is provided for analyzing the meteorological sea condition in ship course behaviors, ship distress reason analysis and the like. In the planning of the ship route, the forecast data of the meteorological sea conditions 72 hours before and the forecast data of the weather sea conditions 14 in the future are superposed, so that the possible meteorological sea condition conditions in the future on the planned route can be mastered at any time when the route is drawn, the influence of extreme weather on the navigation can be avoided in advance, and the navigation safety is ensured.
Description
Technical Field
The invention relates to the technical field of marine data, in particular to a system and a method for fusion processing of meteorological sea condition data in a ship sailing process based on AIS.
Background
The ship historical track is a method for restoring the ship navigation process, but the track information only comprises attributes such as navigation speed, course, ship heading, draught and the like, and the oceanographic weather condition in the navigation process cannot be restored. The meteorologic conditions in the track information also have great influence on the design of the safe route for the ship to sail, so that the meteorologic conditions in the process of sailing the ship for the duration are necessarily restored in the process of restoring the track of the ship for the duration.
Disclosure of Invention
The invention aims to provide a meteorological sea condition data fusion processing method based on AIS (automatic identification system) in a ship sailing process, so that the problems in the prior art are solved.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
a meteorological sea condition data fusion processing system based on AIS for ship navigation process comprises a meteorological sea condition data receiving module, a meteorological sea condition data analyzing module, a meteorological forecasting module, a ship route visualization module and a database,
the meteorological sea condition data receiving module is used for receiving all meteorological sea condition data on each navigation route and transmitting all the received meteorological sea condition data to the meteorological sea condition data analyzing module;
the meteorological sea condition data analysis module converts the received meteorological sea condition data into a grid formed by longitude and latitude through a grid format conversion method, and writes the grid coordinate and time as a retrieval index into the database;
the weather forecasting module forecasts future weather conditions of the route to be inquired;
the ship route visualization module firstly queries a ship navigation route, forms an index by combining positioning time with a grid coordinate corresponding to longitude and latitude meteorological sea condition data of each ship position in the acquired navigation route, and retrieves the meteorological sea condition data in a database; and displaying the meteorological sea condition of the planned route by a visualization method in combination with the meteorological forecast data given by the meteorological forecast module.
Preferably, all the meteorological sea condition data received by the meteorological sea condition receiving module comprise average sea level pressure, wind U/V, sea level air temperature, visibility of the ground or meeting surface, total precipitation of the ground or water surface, coupling wave height and wave height of each ship position on a navigation route, the data are updated four times every day, the time is 0, 6, 12 and 18 respectively, and the meteorological condition of 72 hours in the future is forecasted each time;
the obtained Data file takes nc file as storage format, and the netCDF (network Common Data form) network general Data format is a description and coding standard which is oriented to array type and is suitable for network sharing Data. Currently, NetCDF is widely used in many fields such as atmospheric science, hydrology, oceanography, environmental simulation, and geophysical field. The NetCDF data set can be conveniently managed and manipulated by a user in a variety of ways.
Mathematically, netcdf stores data that is a single-valued function of multiple arguments. Wherein the independent variables are called dimensions (dimensions) or coordinate axes (axis) in nc, the function values (value) are called variables (variables), and the structure of a Netcdf file comprises the following objects: variables (Variables): the variables correspond to real physical data; dimension (dimension): one dimension corresponds to an argument in the function, or a coordinate axis in the image of the function, which is a component of an N-dimensional vector in linear algebra; attribute (Attribute): attributes are annotations or interpretations of variable values and the specific physical meaning of a dimension. More preferably, the dimensions in the meteorological data consist of a forecast time, a longitude and a latitude, the time representing the forecast time being hours since 2000-2-100: 00:00: 00; latitude is a latitude in the range of 90 to-90, longtude is a longitude in the range of 0 to 360, and each longitude and latitude is spaced 0.25 degrees apart.
Preferably, the weather sea condition data analysis module converts the weather sea condition data into a grid formed by longitude and latitude through a grid format conversion method, and writes the grid coordinate and time into the database by taking the grid coordinate and time as a retrieval index, specifically including:
grid conversion, dividing all longitude and latitude into a rectangular grid, combining 4 grid intersection points adjacent to any coordinate point, including upper left, lower right and upper right, together to form a grid area on the basis of the rectangular grid, and establishing an area index according to the upper left, lower right or lower left and upper right longitude and latitude;
time format conversion, converting the hours since the forecast time is 2000-2-100: 00:00:00 into the hours since 1970-1-100: 00: 00;
and data storage, namely selecting HBase with NoSQL as a storage database, RowKey takes the area index + time as the index of the database, takes the weather type as Column of the database, and takes the weather data value as the value of the database.
More preferably, the grid transformation divides longitude and latitude into a rectangular grid with the density of 720 x 1440, and index coordinates start from 0;
for a square where any coordinate point (lon, lat) is located, the following code is used to represent: encoding latitude coordinates of the lower left corner: floor ((90-lat)/0.25) -1, or upper right-hand latitude coordinate code: floor ((90-lat)/0.25), lat is the actual latitude; coding the longitude coordinate of the upper right corner: floor (lon/0.25) -1, or replacement with lower left corner longitude coordinate coding: floor (lon/0.25), lon is the actual longitude.
The invention also aims to provide a ship navigation process meteorological sea state data fusion processing method based on AIS, which is realized based on the ship navigation process meteorological sea state data fusion processing system based on AIS and comprises the following steps:
s1, the meteorological sea condition data receiving module is used for receiving all meteorological sea condition data on each navigation route and transmitting all the received meteorological sea condition data to the meteorological sea condition data analyzing module;
all weather sea condition data adopt nc file storage format, including forecast time, longitude and latitude;
s2, converting the received meteorological sea condition data into a grid formed by longitude and latitude by adopting a meteorological sea condition data analysis module through a grid format conversion mode, and writing the grid coordinate and time as a retrieval index into a database, wherein the method specifically comprises the following steps;
s21, firstly, converting the longitude and latitude of the tracing point into the longitude and latitude of the intersection point corresponding to the grid at the lower left or the upper right, and the calculation formula is as follows:
converting the track points into longitude and latitude of intersection points of the upper right-hand grid:
DD- (DD mod 0.25) +0.25(DD ═ decel Degrees), and if DD mod 0.25 ═ 0, DD is taken, otherwise DD- (DD mod 0.25) +0.25 is taken;
converting the track points into longitude and latitude of intersection points of the lower left corner grids:
DD mod 0.25＝＝0DD-(DD mod 0.25)(DD＝Decimal Degrees)，
if DD mod 0.25 is 0, taking DD, otherwise, taking DD- (DD mod 0.25)
S22, calculating the grid index according to the position of the converted grid longitude and latitude,
the latitude index calculation formula is as follows:
at the latitude of the lower left or lower right, Math. floor ((90-lat)/0.25) -1
At latitude left or right, Math. floor ((90-lat)/0.25)
The longitude is converted into 360 degrees, and then the longitude index is calculated, wherein the formula is as follows:
longitude of lower left or upper left, Math. floor (lon/0.25)
Floor (lon/0.25) -1) with longitude at bottom right or top right
S3, the ship route visualization module converts the longitude and latitude of the ship track point in the ship navigation route to be inquired into corresponding grid coordinates in the longitude and latitude meteorological sea state data, forms an index by combining the positioning time, and retrieves the meteorological sea state data stored in the database; and displaying the meteorological sea condition of the planned route by a visualization method in combination with the meteorological forecast data given by the meteorological forecast module.
Preferably, all the meteorological sea condition data received by the meteorological sea condition receiving module comprise average sea level pressure, wind U/V, sea level air temperature, visibility of the ground or the surface of a meeting, total precipitation of the ground or the water surface, coupling wave height and wave height of each ship position on a navigation route, the data are updated four times every day, and the meteorological condition of 72 hours in the future is forecasted every time.
Preferably, the step S2 further includes converting the timestamp (UTC seconds) in the ship trajectory data into (UTC hours).
The invention has the beneficial effects that:
the invention provides a system and a method for carrying out fusion processing on meteorological sea condition data in a ship sailing process based on AIS (automatic identification system). the method enables meteorological sea condition data to be superposed in the playback of a ship historical track, so that the meteorological sea condition conditions on a ship route to be mastered at any time in the return visit process, and provides reference basis for analyzing the meteorological sea condition in ship course behaviors, ship distress reason analysis and the like. In the planning of the ship route, the forecast data of the meteorological sea conditions 72 hours before and the forecast data of the weather sea conditions 14 in the future are superposed, so that the possible meteorological sea condition conditions in the future on the planned route can be mastered at any time when the route is drawn, the influence of extreme weather on the navigation can be avoided in advance, and the navigation safety is ensured.
Drawings
Fig. 1 is a flowchart of a method for fusion processing of meteorological sea condition data during vessel navigation based on AIS provided in embodiment 1;
FIG. 2 is a schematic view of the meteorological marine condition data global grid provided in example 1;
FIG. 3 is a meteorological sea state data storage design format in a database;
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention.
Example 1
The embodiment provides a meteorological sea condition data fusion processing system based on AIS (automatic identification system) for a ship navigation process, which comprises a meteorological sea condition data receiving module, a meteorological sea condition data analyzing module, a meteorological forecasting module, a ship route visualization module and a database,
the meteorological sea condition data receiving module is used for receiving all meteorological sea condition data on each navigation route and transmitting all the received meteorological sea condition data to the meteorological sea condition data analyzing module;
the weather sea condition data analysis module converts the received weather sea condition data into grids formed by longitude and latitude through a grid format conversion method, and writes the grids into the database by taking grid coordinates and time as retrieval indexes;
the weather forecasting module forecasts future weather conditions of the route to be inquired;
the ship route visualization module firstly queries a ship navigation route, forms an index by combining positioning time with a grid coordinate corresponding to longitude and latitude meteorological sea condition data of each ship position in the acquired navigation route, and retrieves the meteorological sea condition data in a database; and displaying the meteorological sea condition of the planned route by a visualization method in combination with the meteorological forecast data given by the meteorological forecast module.
In this embodiment, all the weather sea condition data received by the weather sea condition receiving module includes average sea level pressure, wind U/V, sea level air temperature, visibility of the ground or the surface of a meeting, total precipitation of the ground or the water surface, coupling wave height and wave height of each ship position on the navigation route, the data are updated four times every day, the time is 0, 6, 12 and 18, and the weather condition of 72 hours in the future is forecasted each time.
It should be noted that all the obtained weather data in the present application are forecast data, but as time advances, new forecast data comes in, and the previous forecast data also becomes historical forecast data, what is used for both types of data? The historical forecast data can acquire weather forecast data such as wind, wave, flow and the like corresponding to the historical weather data when planning a new airline, and has certain reference significance for planning the new airline.
The obtained Data file takes nc file as storage format, and the netcdf (network Common Data form) network general Data format is a description and coding standard which is oriented to array type and is suitable for network sharing Data. Currently, NetCDF is widely used in many fields such as atmospheric science, hydrology, oceanography, environmental simulation, and geophysical field. The NetCDF data set can be conveniently managed and manipulated by a user in a variety of ways.
Mathematically, netcdf stores data that is a single-valued function of multiple arguments. Where the independent variables are called dimensions (dimensions) or coordinate axes (axis) in nc, the function values (value) are called variables (variables), the structure of a Netcdf file includes the following objects: variables (Variables): the variables correspond to real physical data; dimension (dimension): one dimension corresponds to an argument in the function, or a coordinate axis in the image of the function, which is a component of an N-dimensional vector in linear algebra; attribute (Attribute): attributes are annotations or interpretations of variable values and the specific physical meaning of a dimension. More preferably, the dimensions in the meteorological data consist of a forecast time, a longitude and a latitude, the time representing the forecast time being hours since 2000-2-100: 00:00: 00; latitude is a latitude in the range of 90 to-90, longtude is a longitude in the range of 0 to 360, and each longitude and latitude is spaced 0.25 degrees apart.
In this embodiment, the weather sea condition data analysis module converts the weather sea condition data into a grid formed by longitude and latitude by a grid format conversion method, and the writing into the database with grid coordinates and time as a retrieval index specifically includes:
grid conversion, dividing all longitude and latitude into a rectangular grid with the density of 720 x 1440, combining 4 grid intersection points adjacent to any coordinate point, including upper left, lower right and upper right, together to form a grid area based on the rectangular grid as shown in fig. 2, and establishing an area index according to the upper left, lower right or lower left and upper right longitude and latitude, wherein the index coordinate starts from 0; for example, the first square on the top left is (90,0) - (89.75,0) - (89.75,0.25) - (90,0.25), with the region index lbencode (89.75) -rtencode (0.25) equal to: 0 to 0; the bottom right last pane (-89.75,359.5) - (-90,359.5) - (-90,359.75) - (-89.75,359.75) with a region index of lbencode (-90) -rtencode (359.75) equal to: 719-1438. And for each zone index add-on zone 4 point (top left, bottom right, top right) weather values.
For a square where any coordinate point (lon, lat) is located, the following code is used to represent: encoding latitude coordinates of the lower left corner: floor ((90-lat)/0.25) -1, or upper right-hand latitude coordinate code: floor ((90-lat)/0.25), lat is the actual latitude; coding the longitude coordinate of the upper right corner: floor (lon/0.25) -1, or replacement by lower left-hand longitude coordinate coding: floor (lon/0.25), lon is the actual longitude.
Time format conversion, converting the hours since the forecast time is 2000-2-100: 00:00:00 into the hours since 1970-1-100: 00: 00;
and data storage, namely selecting HBase with NoSQL as a storage database, RowKey takes the area index + time as the index of the database, takes the weather type as Column of the database, and takes the weather data value as the value of the database.
Example 2
The embodiment provides a vessel sailing process meteorological sea state data fusion processing method based on AIS, which is implemented based on the vessel sailing process meteorological sea state data fusion processing system based on AIS described in embodiment 1, and as shown in fig. 1, includes the following steps:
s1, the meteorological sea state data receiving module is used for receiving all meteorological sea state data on each navigation route and transmitting all received meteorological sea state data to the meteorological sea state data analyzing module;
all weather sea condition data adopt nc file storage format, including forecast time, longitude and latitude;
s2, converting the received weather sea state data into grids formed by longitude and latitude by a grid format conversion mode by adopting a weather sea state data analysis module, and writing the grids into a database by taking grid coordinates and time as retrieval indexes;
s21, firstly, converting the longitude and latitude of the tracing point into the longitude and latitude of the intersection point corresponding to the grid at the lower left or the upper right, and the calculation formula is as follows:
converting the track points into longitude and latitude of intersection points of the upper right-hand grid:
DD mod 0.25＝＝0DD:DD-(DD mod 0.25)+0.25(DD＝Decimal Degrees)
converting the track points into longitude and latitude of intersection points of the lower left corner grids:
DD mod 0.25＝＝0DD-(DD mod 0.25)(DD＝Decimal Degrees)，
the question mark in the calculation formula is a pseudo code, a judgment condition is before the question mark, when the condition is true, the value of the expression on the left side of the colon is taken, and when the condition is false, the value of the expression on the right side of the colon is taken. Namely: the first one is: if DD mod 0.25 is 0, taking DD, otherwise, taking DD- (DD mod 0.25) + 0.25; secondly, the following steps: if DD mod 0.25 is 0, taking DD, otherwise, taking DD- (DD mod 0.25).
S22, calculating the grid index according to the position of the converted grid longitude and latitude,
the latitude index calculation formula is as follows:
at the latitude of the lower left or lower right, Math. floor ((90-lat)/0.25) -1
At latitude left or right, Math. floor ((90-lat)/0.25)
The longitude is converted into 360 degrees, and then the longitude index is calculated, wherein the formula is as follows:
longitude of lower left or upper left, Math. floor (lon/0.25)
Floor (lon/0.25) -1) with longitude at bottom right or top right
S3, the ship route visualization module converts the longitude and latitude of the ship track point in the ship navigation route to be inquired into corresponding grid coordinates in the longitude and latitude meteorological sea state data, forms an index by combining the positioning time, and retrieves the meteorological sea state data stored in the database; and displaying the meteorological sea conditions of the planned route by a visualization method in combination with the meteorological forecast data given by the meteorological forecast module.
In this embodiment, all the weather sea condition data received by the weather sea condition receiving module includes average sea level pressure, wind U/V, sea level air temperature, visibility of the ground or the surface of a meeting, total precipitation of the ground or the water surface, coupling wave height and wave height of each ship position on the navigation route, the data is updated four times every day according to four times of 0, 6, 12 and 18, and the weather condition of 72 hours in the future is forecasted each time.
Step S2 in the present embodiment further includes converting the time stamp (UTC seconds) in the ship trajectory data into (UTC hours).
In this embodiment, the weather forecast data given by the weather forecast module is combined, and the weather sea condition of the planned route is displayed through a visualization method, specifically including the weather sea condition forecast data 72 hours before superposition and the future 14 weather sea condition forecast data, so that the weather sea condition which may face the planned route in the future can be grasped at any time when the route is drawn.
And for the superposition process, after a route is predicted and planned according to a ship navigation route, the meteorological sea condition information matching of each key path point in the route at the corresponding moment is carried out. For example, a ship plans from the upper sea to the singapore, and the middle can approach the strait and other places, after the route is planned, the time and the position of arriving at the strait can be calculated according to the preset navigational speed, and according to the two conditions, the weather sea condition forecast information of the time and the position can be corresponding, and in addition, for the weather condition recorded in the historical data, the corresponding wind and wave conditions can be known according to the historical weather forecast condition, so that the method can be applied to route planning, thereby effectively avoiding the possible severe sea condition and improving the safety of the route.
By adopting the technical scheme disclosed by the invention, the following beneficial effects are obtained:
the invention provides a system and a method for carrying out fusion processing on meteorological sea condition data in a ship sailing process based on AIS (automatic identification system). the method enables meteorological sea condition data to be superposed in the playback of a ship historical track, so that the meteorological sea condition conditions on a ship route to be mastered at any time in the return visit process, and provides reference basis for analyzing the meteorological sea condition in ship course behaviors, ship distress reason analysis and the like. In the planning of the ship route, the forecast data of the meteorological sea conditions 72 hours before and the forecast data of the weather sea conditions 14 in the future are superposed, so that the possible meteorological sea condition conditions in the future on the planned route can be mastered at any time when the route is drawn, the influence of extreme weather on the navigation can be avoided in advance, and the navigation safety is ensured.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and improvements can be made without departing from the principle of the present invention, and such modifications and improvements should also be considered within the scope of the present invention.
Claims (7)
1. A meteorological sea condition data fusion processing system based on AIS for ship navigation process is characterized by comprising a meteorological sea condition data receiving module, a meteorological sea condition data analyzing module, a meteorological forecasting module, a ship route visualization module and a database,
the meteorological sea condition data receiving module is used for receiving all meteorological sea condition data on each navigation route and transmitting all the received meteorological sea condition data to the meteorological sea condition data analyzing module; the meteorological sea condition data analysis module converts the received meteorological sea condition data into a grid formed by longitude and latitude through a grid format conversion method, and writes the grid coordinate and time as a retrieval index into the database;
the weather forecasting module forecasts future weather conditions of the route to be inquired;
the ship route visualization module firstly queries a ship navigation route, forms an index by combining positioning time with a grid coordinate corresponding to longitude and latitude meteorological sea condition data of each ship position in the acquired navigation route, and retrieves the meteorological sea condition data in a database; and displaying the meteorological sea condition of the planned route by a visualization method in combination with the meteorological forecast data given by the meteorological forecast module.
2. The AIS-based ship voyage process meteorological sea state data fusion processing system of claim 1, wherein all meteorological sea state data received by the meteorological sea state receiving module comprise average sea level pressure, wind U/V, sea level air temperature, ground or meeting surface visibility, ground or water surface total precipitation, coupling wave height and wave height of each ship position on a voyage route, data are updated four times a day, and meteorological conditions are forecasted for 72 hours in the future each time; the acquired data includes the forecast time, longitude and latitude.
3. The AIS-based marine vessel voyage meteorological sea state data fusion processing system of claim 2, wherein the meteorological sea state data parsing module converts the meteorological sea state data into grids formed by longitude and latitude through a grid format conversion method, and writes the grids into the database by using grid coordinates and time as a retrieval index specifically includes:
grid conversion, dividing all longitude and latitude into a rectangular grid, combining 4 grid intersection points adjacent to any coordinate point, including upper left, lower right and upper right, together to form a grid area on the basis of the rectangular grid, and establishing an area index according to the upper left, lower right or lower left and upper right longitude and latitude;
time format conversion, converting the forecast time into the number of hours since 1970-1-100: 00: 00;
and data storage, namely selecting HBase with NoSQL as a storage database, RowKey takes the area index + time as the index of the database, takes the weather type as Column of the database, and takes the weather data value as the value of the database.
4. The AIS-based ship voyage process meteorological sea state data fusion processing system of claim 3, wherein the grid conversion divides longitude and latitude into a rectangular grid with the density of 720 x 1440, and index coordinates start from 0;
for a square where any coordinate point (lon, lat) is located, the following code is used to represent: encoding latitude coordinates of the lower left corner: floor ((90-lat)/0.25) -1, or upper right-hand latitude coordinate code: floor ((90-lat)/0.25), lat is the actual latitude; coding the longitude coordinate of the upper right corner: floor (lon/0.25) -1, or replacement by lower left-hand longitude coordinate coding: floor (lon/0.25), lon is the actual longitude.
5. A ship navigation process meteorological sea state data fusion processing method based on AIS is realized based on the ship navigation process meteorological sea state data fusion processing system based on AIS of any one of claims 1-4, and comprises the following steps:
s1, the meteorological sea condition data receiving module is used for receiving all meteorological sea condition data on each navigation route and transmitting all the received meteorological sea condition data to the meteorological sea condition data analyzing module;
all weather sea condition data adopt nc file storage format, including forecast time, longitude and latitude;
s2, converting the received meteorological sea condition data into a grid formed by longitude and latitude by adopting a meteorological sea condition data analysis module through a grid format conversion mode, and writing the grid coordinate and time as a retrieval index into a database, wherein the method specifically comprises the following steps;
s21, firstly, converting the longitude and latitude of the tracing point into the longitude and latitude of the intersection point corresponding to the grid at the lower left or the upper right, and the calculation formula is as follows:
converting the track points into longitude and latitude of intersection points of the upper right-hand grid:
DD mod 0.25＝＝0DD:DD-(DD mod 0.25)+0.25(DD＝Decimal Degrees)
converting the track points into longitude and latitude of intersection points of the lower left corner grids:
DD mod 0.25＝＝0DD:DD-(DD mod 0.25)(DD＝Decimal Degrees)
s22, calculating the grid index according to the position of the converted grid longitude and latitude,
the latitude index calculation formula is as follows:
at the latitude of the lower left or lower right, Math. floor ((90-lat)/0.25) -1
At latitude left or right, Math. floor ((90-lat)/0.25)
The longitude is first converted to 360 degrees and then the longitude index is calculated, the formula is as follows:
longitude of lower left or upper left, Math. floor (lon/0.25)
Floor (lon/0.25) -1) with longitude at bottom right or top right
S3, the ship route visualization module converts the longitude and latitude of the ship track point in the ship navigation route to be inquired into corresponding grid coordinates in the longitude and latitude meteorological sea state data, forms an index by combining the positioning time, and retrieves the meteorological sea state data stored in the database; and displaying the meteorological sea condition of the planned route by a visualization method in combination with the meteorological forecast data given by the meteorological forecast module.
6. The AIS-based ship voyage process meteorological sea state data fusion processing method according to claim 5, wherein all meteorological sea state data received by the meteorological sea state receiving module comprise average sea level pressure, wind U/V, sea level air temperature, ground or meeting surface visibility, ground or water surface total precipitation, coupling wave height and wave height of each ship position on a voyage route, the data are updated four times a day, and the meteorological conditions are forecasted for 72 hours in the future each time.
7. The AIS-based marine voyage meteorological sea state data fusion processing method according to claim 5, wherein the step S2 further comprises converting a time stamp (UTC seconds) in the marine track data into (UTC hours).
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| CN115097868A (en) * | 2022-08-24 | 2022-09-23 | 深圳市瓴鹰智能科技有限公司 | Flight control method and related device |
| CN116662419A (en) * | 2023-08-01 | 2023-08-29 | 太极计算机股份有限公司 | Real-time massive ship track high-performance visualization system and method |
| CN117388952A (en) * | 2023-09-20 | 2024-01-12 | 珠海市公共气象服务中心(珠海市防雷所)(珠海市突发事件预警信息发布中心) | Method and device for warning of navigation line weather, electronic equipment and storage medium |
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| CN112132346A (en) * | 2020-09-24 | 2020-12-25 | 中国科学院空天信息创新研究院 | Ship navigation track prediction method based on ship type |
| CN113610312A (en) * | 2021-08-16 | 2021-11-05 | 重庆交通大学 | Ship navigation real-time optimal route planning method based on improved genetic algorithm |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115097868A (en) * | 2022-08-24 | 2022-09-23 | 深圳市瓴鹰智能科技有限公司 | Flight control method and related device |
| CN116662419A (en) * | 2023-08-01 | 2023-08-29 | 太极计算机股份有限公司 | Real-time massive ship track high-performance visualization system and method |
| CN116662419B (en) * | 2023-08-01 | 2023-12-22 | 太极计算机股份有限公司 | Real-time massive ship track high-performance visualization system and method |
| CN117388952A (en) * | 2023-09-20 | 2024-01-12 | 珠海市公共气象服务中心(珠海市防雷所)(珠海市突发事件预警信息发布中心) | Method and device for warning of navigation line weather, electronic equipment and storage medium |
| CN117388952B (en) * | 2023-09-20 | 2024-05-07 | 珠海市公共气象服务中心(珠海市防雷所)(珠海市突发事件预警信息发布中心) | Method and device for warning of navigation line weather, electronic equipment and storage medium |
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