CN111190421A - Analysis method for real-time scheduling of ship navigation route based on big data - Google Patents
Analysis method for real-time scheduling of ship navigation route based on big data Download PDFInfo
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Abstract
The invention discloses an analysis method based on real-time scheduling of a navigation route of a big data ship, which comprises a wind resistance analysis module, a satellite positioning module, a cloud server, a data analysis module and a satellite communication module, wherein the cloud server is in communication connection with a database through the satellite communication module, the wind resistance analysis module comprises a wind direction analysis module and a wind power analysis module, the data analysis module comprises a data acquisition module, a database, a data downloading end and a data analysis end, and the database comprises an original navigation route and route information on the original navigation route, and the analysis method has the advantages that: the data acquisition module is used for acquiring navigation information of the ship during navigation, the probability of mutual collision between the ships is avoided according to mutual transmission and analysis of cloud data under a big data background, the optimized real-time route is adjusted and analyzed according to corresponding data, the fastest and safest navigation route is provided for the ship navigation, and the safety of the ship navigation is improved.
Description
Technical Field
The invention relates to the technical field of ship navigation route analysis, in particular to an analysis method for ship navigation route real-time scheduling based on big data.
Background
With the fierce progress of international trade, the large-scale and rapid development of ships, narrow water channel ships are dense and frequent to come and go, the navigation path is more narrow and congested for the rapid large-scale ships and ultra-large-scale ships, the navigation control difficulty of the ships is greatly increased, the collision risk of the ships is greatly increased in meeting, and collision accidents occur; the existing method for preventing collision of the path planning ship has certain disadvantages in use, firstly, the acceleration of the ship can not be acquired, and data of the surrounding environment are not collected, so that the subsequent path planning is not facilitated, the information is not comprehensively acquired in the ship navigation process, secondly, the function of recording the collision prevention process of the ship is not provided, the collision prevention process can not be fed back, and the whole collision prevention method is not facilitated to be improved in time.
Disclosure of Invention
The invention aims to provide an analysis method based on real-time scheduling of a ship navigation route based on big data, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: an analysis method based on real-time scheduling of a navigation route of a big data ship comprises a wind resistance analysis module, a satellite positioning module, a cloud server, a data analysis module and a satellite communication module, wherein the cloud server is in communication connection with a database through the satellite communication module, the wind resistance analysis module comprises a wind direction analysis module and a wind speed analysis module, the data analysis module comprises a data acquisition module, a database, a data downloading end and a data analysis end, the database comprises an original navigation route and route information on the original navigation route, the route information mainly comprises specific coordinates of a submerged reef and a storm area, and the specific analysis steps are as follows;
the method comprises the following steps: the satellite positioning module performs satellite positioning on a sailing ship and transmits positioning information to the cloud server through the satellite communication module;
step two: the data acquisition module acquires information of a ship during navigation, wherein the information comprises the actual position of the ship, radar sonar detection information, navigation speed, ship direction, wind speed and weather; the data acquisition module sends the acquired real-time information to the data analysis module for data analysis;
step three: the data analysis module plans the navigation route of the ship by combining the information stored in the database after receiving the real-time information of the ship;
step four: and carrying out data backup on the planned air route and sending the data backup to a cloud server through a satellite communication module.
Preferably, the data analysis module keeps information synchronization with the cloud server at any time through the satellite communication module, when data in the cloud server or the database changes, the other end of the data analysis module synchronously updates the data at the first time, and the data of the data analysis module is stored in the database.
Preferably, the wind resistance analysis module calculates the magnitude of the wind resistance by combining the real-time wind speed and wind direction and the wind resistance area when the ship sails, and deduces the deviation rate according to the direction of the ship sailing route, wherein the deviation rate can be expressed in degrees/minute or in other manners.
Preferably, the data analysis module analyzes that the ship navigation route and the planned route deviate, and the early warning module can send out early warning signals when the satellite positioning module positions that the ship navigates to a submerged reef area or a storm area.
Preferably, the data acquisition module can also summarize all acquired data information during the whole ship navigation, and then synchronously update the data information to the database and the cloud server.
Compared with the prior art, the invention has the beneficial effects that: according to the analysis method based on the real-time scheduling of the navigation route of the big data ship, the navigation information of the ship during navigation is collected through a data collection module, the possibility of mutual collision between the ships is avoided according to mutual transmission and analysis of cloud data under the background of the big data, the optimized real-time route is adjusted and analyzed according to corresponding data, the fastest and safest navigation route is provided for the ship navigation, and the safety of the ship navigation is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of the present invention;
FIG. 2 is a flow chart of the steps of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, the present invention provides a technical solution: an analysis method based on real-time scheduling of a navigation route of a big data ship comprises a wind resistance analysis module, a satellite positioning module, a cloud server, a data analysis module and a satellite communication module, wherein the cloud server is in communication connection with a database through the satellite communication module, the wind resistance analysis module comprises a wind direction analysis module and a wind speed analysis module, the data analysis module comprises a data acquisition module, a database, a data downloading end and a data analysis end, the database comprises an original navigation route and route information on the original navigation route, the route information mainly comprises specific coordinates of a submerged reef and a storm area, and the specific analysis steps are as follows;
the method comprises the following steps: the satellite positioning module performs satellite positioning on a sailing ship and transmits positioning information to the cloud server through the satellite communication module;
step two: the data acquisition module acquires information of a ship during navigation, wherein the information comprises the actual position of the ship, radar sonar detection information, navigation speed, ship direction, wind speed and weather; the data acquisition module sends the acquired real-time information to the data analysis module for data analysis;
step three: the data analysis module plans the navigation route of the ship by combining the information stored in the database after receiving the real-time information of the ship;
step four: and carrying out data backup on the planned air route and sending the data backup to a cloud server through a satellite communication module.
It is worth noting that the data analysis module keeps information synchronization with the cloud server through the satellite communication module at any time, when data in the cloud server or the database changes, the other end of the data analysis module synchronously updates the data at the first time, and the data of the data analysis module is stored in the database.
It should be noted that the wind resistance analysis module calculates the magnitude of the wind resistance by combining the real-time wind speed and wind direction and the wind resistance area when the ship sails, and deduces the deviation rate according to the direction of the ship sailing route, wherein the deviation rate can be expressed in degrees/minute, and can also be expressed in other manners.
It is worth noting that the data analysis module analyzes that the ship navigation route and the planned route deviate, and timely early warning is given out, and when the satellite positioning module positions that the ship navigates to a submerged reef area or a storm area, an early warning signal can be sent out.
It is worth noting that the data acquisition module can also collect all acquired data information during the whole ship navigation process, and then synchronously update the data information to the database and the cloud server.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (5)
1. The analysis method based on real-time scheduling of the navigation route of the big data ship comprises a wind resistance analysis module, a satellite positioning module, a cloud server, a data analysis module and a satellite communication module, and is characterized in that: the cloud server is in communication connection with a database through a satellite communication module, the wind resistance analysis module comprises a wind direction analysis module and a wind speed analysis module, the data analysis module comprises a data acquisition module, a database, a data downloading end and a data analysis end, the database comprises an original navigation route and route information on the original navigation route, the route information mainly comprises specific submerged reef coordinates and a wind wave area, and the specific analysis steps are as follows;
the method comprises the following steps: the satellite positioning module performs satellite positioning on a sailing ship and transmits positioning information to the cloud server through the satellite communication module;
step two: the data acquisition module acquires information of a ship during navigation, wherein the information comprises the actual position of the ship, radar sonar detection information, navigation speed, ship direction, wind speed and weather; the data acquisition module sends the acquired real-time information to the data analysis module for data analysis;
step three: the data analysis module plans the navigation route of the ship by combining the information stored in the database after receiving the real-time information of the ship;
step four: and carrying out data backup on the planned air route and sending the data backup to a cloud server through a satellite communication module.
2. The analysis method based on the real-time scheduling of the navigation route of the big data ship according to claim 1, wherein: the data analysis module keeps information synchronization with the cloud server at any time through the satellite communication module, when data in the cloud server or the database changes, the other end of the data analysis module synchronously updates the data at the first time, and the data of the data analysis module is stored in the database.
3. The analysis method based on the real-time scheduling of the navigation route of the big data ship according to claim 1, wherein: the wind resistance analysis module calculates the wind resistance by combining the real-time wind speed and wind direction and the wind resistance area of the ship during navigation, and deduces the deviation rate according to the direction of the ship navigation route, wherein the expression mode of the deviation rate can be expressed as degree/minute, and can also be expressed by other modes.
4. The analysis method based on the real-time scheduling of the navigation route of the big data ship according to claim 1, wherein: the data analysis module analyzes that the ship navigation route and the planned route deviate, and can give out early warning signals when the satellite positioning module positions that the ship navigates to a submerged reef area or a storm area.
5. The analysis method based on the real-time scheduling of the navigation route of the big data ship according to claim 1, wherein: the data acquisition module can also gather all acquired data information during the whole ship navigation process and then synchronously update the data information to the database and the cloud server.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010052641.7A CN111190421A (en) | 2020-01-17 | 2020-01-17 | Analysis method for real-time scheduling of ship navigation route based on big data |
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| CN202010052641.7A CN111190421A (en) | 2020-01-17 | 2020-01-17 | Analysis method for real-time scheduling of ship navigation route based on big data |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111780760A (en) * | 2020-06-10 | 2020-10-16 | 智慧航海（青岛）科技有限公司 | Ship route simulation test method based on ocean voyage meteorological timeliness |
| CN112734346A (en) * | 2021-04-02 | 2021-04-30 | 北京三快在线科技有限公司 | Method, device and equipment for determining lane coverage and readable storage medium |
| CN113110474A (en) * | 2021-04-26 | 2021-07-13 | 广东海洋大学 | Offshore sea area small ship behavior decision method |
-
2020
- 2020-01-17 CN CN202010052641.7A patent/CN111190421A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111780760A (en) * | 2020-06-10 | 2020-10-16 | 智慧航海（青岛）科技有限公司 | Ship route simulation test method based on ocean voyage meteorological timeliness |
| CN112734346A (en) * | 2021-04-02 | 2021-04-30 | 北京三快在线科技有限公司 | Method, device and equipment for determining lane coverage and readable storage medium |
| CN113110474A (en) * | 2021-04-26 | 2021-07-13 | 广东海洋大学 | Offshore sea area small ship behavior decision method |
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Application publication date: 20200522 |