CN111785090B - Method for automatically identifying illegal dumping based on ship AIS track data - Google Patents
Method for automatically identifying illegal dumping based on ship AIS track data Download PDFInfo
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- CN111785090B CN111785090B CN202010585650.2A CN202010585650A CN111785090B CN 111785090 B CN111785090 B CN 111785090B CN 202010585650 A CN202010585650 A CN 202010585650A CN 111785090 B CN111785090 B CN 111785090B
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G3/00—Traffic control systems for marine craft
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/20—Instruments for performing navigational calculations
- G01C21/203—Specially adapted for sailing ships
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
Abstract
The invention discloses a method for automatically identifying illegal dumping based on ship AIS track data, which is characterized by utilizing a section of ship AIS track data to calculate an overlapping area with an engineering area and a dumping area, traversing each track point of the section of navigation track, combining dumping recorder data and dumping license information, automatically identifying all illegal dumping behaviors and timely alarming to a supervision department. The defects that supervision is time-consuming and labor-consuming and all illegal dumping behaviors cannot be identified in the prior art are overcome, the illegal dumping behaviors can be effectively reduced, and the marine ecological environment is improved.
Description
Technical Field
The invention relates to a method for identifying illegal dumping of ships, in particular to a method for automatically identifying illegal dumping based on AIS track data of ships.
Background
Dumping the waste (dumping waste) of the construction work to the ocean requires legal acquisition of a license. The contents permitted by the license include construction works, dumping work units, carriers used (dumping ships), and dumping areas. And the permitted dumping ship loads the waste from the engineering area and dumps the waste in the designated dumping area, namely normal dumping behavior. However, individual dumping of ships may present several violations as follows:
1. and (4) certificate-free operation: the dumping ship carries out dumping operation without license (without license);
2. and (4) overdue operation: the dumping ship still performs dumping operation after the license is expired;
3. non-designated dump zone operation: the dumping ship carries out dumping operation nearby a dumping area not specified by the license;
4. operation without entering a dumping area: the dumping ship carries out dumping operation in a non-dumping area sea area.
At present, the monitoring department installs the useless record appearance of inclining in unison on the useless ship of inclining, can monitor the speed of ship and mud door on-off state (the mud door is opened and is emptyd, and the mud door is closed and does not topple over), need call useless record appearance data of inclining one by one and can discover the illegal action of no evidence operation or overdue operation, not only waste time and energy, also can't monitor the illegal action of unspecified district operation of empting and not getting into the district operation of empting. The ship AIS track data comprises ship, time, longitude and latitude and other information, but the illegal dumping behavior cannot be automatically identified.
Disclosure of Invention
The invention aims to solve the technical problems in the prior art and provides a method for automatically identifying illegal dumping based on AIS track data of a ship.
The technical solution of the invention is as follows: a method for automatically identifying illegal dumping based on ship AIS track data is characterized by comprising the following steps:
step 1: taking out a section of track of the AIS track of the ship according to the time sequence, and recording the track as a track TrackList;
step 2: performing spatial relation operational analysis on the track TrackList, the engineering area and the dumping area, recording the overlapping part of the track TrackList and the engineering area as an engineering area qdgcIS, and recording the overlapping part of the track TrackList and the dumping area as a dumping area dumpingIS;
and step 3: taking out project and dumping license information corresponding to the ship from the database, and recording the project and dumping license information as Projects;
and 4, step 4: traversing from the first track point of the track TrackList;
and 5: judging whether each track point in the TrackList is completely traversed, if so, ending; otherwise, executing step 6 from the first trace point which is not traversed;
step 6: judging whether the track point is in the engineering area qdgcIS, if so, recording the engineering area where the track point is as qdgcArea, and executing the step 7, otherwise, executing the step 5;
and 7: judging whether the subsequent track points in the step 6 are outside qdgcArea, if so, executing a step 8, otherwise, executing a step 5;
and 8: judging whether the subsequent track point in the step 7 is in the dumpingIS, if so, recording the dump area into which the track point enters as the dumpingIS, and executing the step 9, otherwise, executing the step 10;
and step 9: generating and recording a voyage number, judging whether the voyage number is a non-evidence, overdue or non-specified dumping area according to Projects, if so, alarming and switching to the step 5; otherwise, directly turning to the step 5;
step 10: judging whether the subsequent track points in the step 7 are in the engineering area qdgcIS, if so, executing the step 11, otherwise, executing the step 5;
step 11: and calling the data of the waste dumping recorder, judging whether the mud door is opened or not, if so, generating and recording a voyage number, alarming and converting to the step 5.
According to the method, a section of ship AIS track data is utilized to calculate the overlapping area with an engineering area and a dumping area, all illegal dumping behaviors are automatically identified by traversing all track points of the section of navigation track and combining dumping recorder data and dumping license information, and a supervision department is timely warned. The defects that supervision is time-consuming and labor-consuming and all illegal dumping behaviors cannot be identified in the prior art are overcome, the illegal dumping behaviors can be effectively reduced, and the marine ecological environment is improved.
Detailed Description
The invention discloses a method for automatically identifying illegal dumping based on ship AIS track data, which comprises a database server, an application server, an AIS data source and the like, wherein the application server continuously receives externally input AIS information (ship sailing track) and stores the externally input AIS information into the database server, and project and dumping license information corresponding to a ship are also stored into the database server, and the method is carried out according to the following steps:
step 1: taking a section of track of the AIS track of the ship from the database according to the time sequence, and recording the track as a track TrackList, wherein the length of the track is based on the best experience value;
step 2: performing spatial relation operational analysis on the track TrackList, the engineering area and the dumping area (whether points are in the plane or not and whether broken lines are intersected with the plane or not) by using a GIS tool GDAL, recording the overlapping part of the track TrackList and the engineering area as an engineering area qdgcIS (a list containing information of the engineering area), and recording the overlapping part of the track TrackList and the dumping area as a dumping area dumpingIS (a list containing information of the dumping area);
and step 3: taking out project and dumping license information corresponding to the ship from the database, and recording the project and dumping license information as Projects;
and 4, step 4: traversing from the first track point of the track TrackList;
and 5: judging whether each track point in the TrackList is completely traversed, if so, ending; otherwise, executing step 6 from the first trace point which is not traversed;
step 6: judging whether the track point is in an engineering area qdgcIS or not by using a GIS tool GDAL, if so, recording the engineering area where the track point is located as qdgcArea, and executing the step 7, otherwise, executing the step 5;
and 7: judging whether the subsequent track point in the step 6 is outside qdgcArea (out of the engineering area), if so, executing a step 8, otherwise, executing a step 5;
and 8: judging whether the subsequent track point in the step 7 is in the dump area dumpingIS (enters the dump area), if so, recording the dump area entered by the track point as the dump area, and executing the step 9, otherwise, executing the step 10;
and step 9: generating and recording a voyage number, judging whether the voyage number is a non-evidence, overdue or non-specified dumping area according to Projects, if so, alarming (informing a supervision department in a short message mode) and turning to the step 5; otherwise, directly turning to the step 5;
step 10: judging whether the subsequent track point in the step 7 is in the engineering area qdgcIS (returning to the engineering area), if so, executing the step 11, otherwise, executing the step 5;
step 11: and calling data of a dumping waste recorder (arranged on a dumping waste ship), judging whether the mud door state is opened, if so, indicating that the dumping waste ship dumps waste in the sea area of the non-dumping area, generating and recording a voyage number (not entering the dumping area), alarming (informing a supervision department in a short message mode), and turning to the step 5.
Claims (1)
1. A method for automatically identifying illegal dumping based on ship AIS track data is characterized by comprising the following steps:
step 1: taking out a section of track of the AIS track of the ship according to the time sequence, and recording the track as a track TrackList;
step 2: performing spatial relation operational analysis on the track TrackList, the engineering area and the dumping area, recording the overlapping part of the track TrackList and the engineering area as an engineering area qdgcIS, and recording the overlapping part of the track TrackList and the dumping area as a dumping area dumpingIS;
and step 3: taking out project and dumping license information corresponding to the ship from the database, and recording the project and dumping license information as Projects;
and 4, step 4: traversing from the first track point of the track TrackList;
and 5: judging whether each track point in the TrackList is completely traversed, if so, ending; otherwise, executing step 6 from the first trace point which is not traversed;
step 6: judging whether the track point is in the engineering area qdgcIS, if so, recording the engineering area where the track point is as qdgcArea, and executing the step 7, otherwise, executing the step 5;
and 7: judging whether the subsequent track points in the step 6 are outside qdgcArea, if so, executing a step 8, otherwise, executing a step 5;
and 8: judging whether the subsequent track point in the step 7 is in the dumpingIS, if so, recording the dump area into which the track point enters as the dumpingIS, and executing the step 9, otherwise, executing the step 10;
and step 9: generating and recording a voyage number, judging whether the voyage number is a non-evidence, overdue or non-specified dumping area according to Projects, if so, alarming and switching to the step 5; otherwise, directly turning to the step 5;
step 10: judging whether the subsequent track points in the step 7 are in the engineering area qdgcIS, if so, executing the step 11, otherwise, executing the step 5;
step 11: and calling the data of the waste dumping recorder, judging whether the mud door is opened or not, if so, generating and recording a voyage number, alarming and converting to the step 5.
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| CN202010585650.2A CN111785090B (en) | 2020-06-24 | 2020-06-24 | Method for automatically identifying illegal dumping based on ship AIS track data |
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| CN113850928A (en) * | 2021-09-18 | 2021-12-28 | 曹丽娟 | Violation judgment method and system for marine operation of dumping ship |
| CN116343533B (en) * | 2023-05-26 | 2023-08-01 | 广州海洋地质调查局三亚南海地质研究所 | Marine survey ship monitoring and early warning method, system, equipment and medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110097787A (en) * | 2019-04-28 | 2019-08-06 | 湖北工业大学 | A kind of ship collision warning monitoring system and method based on monitoring navigation light |
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| CN103702074A (en) * | 2013-12-18 | 2014-04-02 | 叶娜 | Offshore dumping ship-borne monitoring system and monitoring method |
| US10755581B2 (en) * | 2016-12-02 | 2020-08-25 | Veniam, Inc. | Systems and methods for port management in a network of moving things, for example including autonomous vehicles |
| CN109186660A (en) * | 2018-09-18 | 2019-01-11 | 天津大学 | It is a kind of that monitoring method is toppled over the ocean rubbish of track record based on offline record |
| CN109709589B (en) * | 2019-01-09 | 2023-07-18 | 深圳市芯鹏智能信息有限公司 | Sea and air area three-dimensional perception prevention and control system |
| CN110363115B (en) * | 2019-06-28 | 2021-10-15 | 上海交通大学 | AIS (automatic identification system) track data based ship operation abnormity semi-supervised real-time detection method |
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| CN110097787A (en) * | 2019-04-28 | 2019-08-06 | 湖北工业大学 | A kind of ship collision warning monitoring system and method based on monitoring navigation light |
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