CN115758242A - Ship berthing event identification method, readable storage medium and computer equipment - Google Patents
Ship berthing event identification method, readable storage medium and computer equipment Download PDFInfo
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- CN115758242A CN115758242A CN202211431964.2A CN202211431964A CN115758242A CN 115758242 A CN115758242 A CN 115758242A CN 202211431964 A CN202211431964 A CN 202211431964A CN 115758242 A CN115758242 A CN 115758242A
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Abstract
The invention discloses a ship berthing event identification method, a readable storage medium and computer equipment, wherein the identification method comprises the following steps: s1, listing ships located in a sea area range to be detected into a ship list to be detected; s2, correcting the position of the ship; s3, traversing all ships in the ship list to be detected, listing the ships meeting the retrieval conditions into a ship-in list to be confirmed, and recording ship-in events; and S4, early warning and storing the ship-approaching event. Compared with the prior art, the ship-to-ship identification method has the advantages that no limitation exists in the supervision range and the time interval, the ship-to-ship event can be effectively monitored, the ship-to-ship identification method is realized through an algorithm mode, and the monitoring speed is greatly improved.
Description
Technical Field
The invention belongs to the technical field of analysis tools, and particularly relates to a ship berthing event identification method, a readable storage medium and computer equipment.
Background
The ship berthing event can reflect economic activities such as ship refueling, ship lightering, research and judgment trade trends and the like, and events such as surreptitious mining, collision, smuggling and the like can be monitored, so that the detection of the ship berthing event becomes a technical problem concerned in the industry in the navigation field.
At present, the detection of ship-approaching events often adopts a scheme of carrying out photoelectric monitoring or artificial light judgment on partial ships in a specific area, the supervision range and the time interval are limited, the supervision efficiency is very low, the operation speed is relatively low, and the efficiency is low.
Disclosure of Invention
In order to solve the above problems, a first aspect of the present invention provides a method for identifying a berthing event, comprising the steps of:
a ship berthing event identification method comprises the following steps:
s1, listing ships located in a sea area range to be detected into a ship list to be detected;
s2, correcting the position of the ship;
s3, traversing all ships in the ship list to be detected, listing the ships meeting the retrieval conditions into a ship-in list to be confirmed, and recording ship-in events;
and S4, early warning and storing the ship berthing event.
As a further improvement of the present invention, the step S1 includes:
s11, setting a sea area range to be detected;
s12, listing the ships in the sea area range to be detected into a list of the ships to be detected;
and S13, carrying out normalization processing on the positions of the ships in the ship list to be detected.
As a further improvement of the present invention, the step S2 includes:
s21, correcting the position of the ship according to the time, and correcting the ship positioning to a uniform timestamp;
and S22, correcting the position deviation brought by the antenna according to the ship length and the ship width of the ship, and adjusting the position of the ship to be the central position of the ship.
As a further improvement of the present invention, the step S3 includes:
s311, traversing all ships in the ship list to be detected;
s312, dividing a buffer area by taking the value of the first threshold value plus half of the ship length as a radius;
s313, if the ship meets the retrieval condition, listing the ship in a first ship-to-be-confirmed ship-berthing list;
s314, recording the time stamp, all ships in the ship list to be detected, the positions of all ships in the ship list to be detected, the first ship-to-be-confirmed-ship-berthing list and the positions of ships meeting the retrieval conditions.
As a further improvement of the present invention, the step S3 further includes:
s321, traversing all ships in the ship list to be detected;
s322, dividing a buffer area by taking the value of the second threshold value plus half of the ship width as a radius;
s323, if the ship accords with the retrieval condition, the ship is listed in a second ship-berthing list to be confirmed;
s324, recording the time stamp, all ships in the ship list to be detected, the positions of all ships in the ship list to be detected, the second ship-to-be-confirmed-ship-berthing list and the positions of ships meeting the retrieval conditions.
As a further improvement of the invention, the invention also comprises the following steps:
and S5, if the error of the detection result of the ship approach event is large, carrying out optimization processing until the detection result meets the expectation.
As a further improvement of the present invention, the step S5 includes:
s331, adjusting and optimizing the first threshold and the second threshold, and repeating the steps S311 to S314 and the steps S321 to S324 until the detection result meets expectations;
and S332, calculating the calculation cycle time required by finishing the step S1 to the step S4 once, and optimizing the time interval.
As a further improvement of the present invention, before the step S1, the following steps are further included:
s0, setting detection time, and searching the sea area range to be detected by taking the detection time as a period.
In a second aspect of the present invention, a computer-readable storage medium is provided, in which at least one instruction, at least one program, a code set, or a set of instructions is stored, and which is loaded and executed by a processor to implement the above-mentioned method for identifying a ship by ship.
In a third aspect of the present invention, a computer device is provided, which includes a processor and a memory, where at least one instruction, at least one program, a code set, or a set of instructions is stored in the memory, and the at least one instruction, at least one program, a code set, or a set of instructions is loaded and executed by the processor to implement the ship approach identification method.
Compared with the prior art, the invention has the following beneficial effects: the ship-to-ship identification is carried out through the position of the ship, compared with the prior art, no limitation exists in the supervision range and the time interval, the ship-to-ship event can be effectively monitored, the monitoring speed is greatly improved through the algorithm.
Drawings
Embodiments of the invention are described in further detail below with reference to the attached drawing figures, wherein:
fig. 1 is a flowchart of a method for identifying a berthing event according to the present invention.
FIG. 2 is a state diagram illustrating the use of the method for identifying a berthing event according to the present invention;
fig. 3 is a schematic structural diagram of the computer device according to the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1
The embodiment provides a method for identifying a ship berthing event, as shown in fig. 1 and 2, comprising the steps of:
s0, setting detection time T, and searching the sea area range to be detected by taking the detection time as a period T.
S1, listing ships located in the sea area range to be detected into a ship list to be detected:
s11, setting a sea area range to be detected, wherein the sea area range to be detected can be divided according to detection requirements.
And S12, listing the ships within the range of the sea area to be detected into a list A of the ships to be detected.
And S13, considering that the ship positioning information has different sources and formats, reference coordinate systems can be different and need to be converted into uniform space reference. Therefore, the positions of the ships in the ship list a to be detected need to be normalized, such as all ship positioning information in AIS, beidou and radar signals are converted into WGS84 geodetic coordinates (longitude and latitude formats are unified into degree, such as "latitude":19.911694, "" longtude ": 109.992666").
S2, correcting the position of the ship, wherein the correction comprises the following two aspects:
s21, due to the problems of network transmission and retrieval efficiency, the dynamic receiving time of different ships has delay from several seconds to several minutes, even one hour or more, so that the ship position needs to be corrected according to time, the ship positioning is corrected to a uniform timestamp, and the ship positioning is uniformly calculated to the same moment. In the list A of ships to be detected, all dynamic timestamps form a time interval, the time interval is T [ e, l ], and Te is the earliest time; tl is the latest time; the method for selecting the uniform timestamp includes, but is not limited to, te is the earliest time; tl is the latest time; an intermediate timestamp. The ship position information includes: positioning information obtained by an AIS system, a GPS system and a Beidou system.
And S22, adjusting the position of the ship to the central position of the ship after correcting the position deviation brought by the antenna according to the ship length and the ship width of the ship in the dynamic ship position. The antennas of different ships are located at different positions, for example, some of the ships are located at the bow, some of the ships are located at the stern, and some of the ships are located at the center of the ship.
S3, traversing all ships in the ship list to be detected, listing the ships meeting the retrieval conditions in a ship berthing list to be confirmed, and recording ship information:
s311, traversing all the ships Ax in the ship list A to be detected.
And S312, dividing the buffer area by taking the value of the first threshold value Rhx plus half of the ship length as a radius, wherein the first threshold value Rhx is a settable parameter and can be dynamically adjusted.
S313, if the ship Bhx meets the retrieval condition, the ship is listed in the first ship-to-be-confirmed list Bh.
S314, recording a time stamp, all ships Ax in the ship list to be detected, the positions of all the ships Ax in the ship list to be detected, a first ship-to-be-confirmed list Bh, and the positions of the ships Bhx meeting the retrieval condition, wherein the first ship-to-be-confirmed list Bh is a ship-to-be-confirmed event list in the sailing direction.
S321, traversing all the ships Ax in the ship list to be detected.
And S322, dividing a buffer area by taking the value of the second threshold value Rkx plus half of the width of the ship as a radius, wherein the second threshold value Rkx is a settable parameter and can be dynamically adjusted.
And S323, if the ship BKx meets the retrieval condition, listing the ship BKx in a second ship berth list to be confirmed.
S324, recording a time stamp, all ships Ax in the ship list to be detected, the positions of all the ships Ax in the ship list to be detected, a second ship-to-be-confirmed list Bk and the positions of the ships BKx meeting the retrieval condition, wherein the second ship-to-be-confirmed list Bk is a ship-to-be-confirmed event list in the sailing direction.
And S4, early warning and storing the ship berthing event. The main parameters of ship number, position, time, distance and the like in the ship-approaching event:
s5, when the error of the output detection result is large, optimizing until the detection result meets the expectation; the detection result comprises the following steps: ship berthing events, event decision parameters, and the like.
S51, adjusting and optimizing the first threshold and the second threshold, and repeating the steps S311 to S314 and the steps S321 to S324 until the detection result meets the expectation.
And S52, calculating the calculation cycle time required by completing the step S1 to the step S4 once, and optimizing the time interval.
The present embodiment is further explained with reference to an application scenario as follows:
in order to meet the requirement of anti-smuggling business, a certain administrative law enforcement department monitors ships in the jurisdiction range, identifies illegal behaviors such as smuggling, sneaking and the like by using technical means, pushes the illegal behaviors to the law enforcement department at the first time, and carries out evidence collection and law enforcement on illegal ships by the law enforcement department, wherein the specific implementation process is as follows:
1. setting key monitoring sea areas such as high-risk behavior high-rise sea areas such as smuggling cases, radar dead angles, photoelectric monitoring dead angles and the like, wherein the key monitoring sea areas are within a range of 20-50 nautical miles from a shore line, law enforcement area boundary areas and the like.
2. Tests show that the calculation lasts for about 10 minutes once, so that the detection period is set to ten minutes, namely, the detection period is calculated once every ten minutes, the statistics and the summary are carried out for a plurality of detection periods, and the statistics and the summary are provided for information analysis and judgment, if two ships trigger early warning for 6 times, the connection time of the two ships can be deduced to be about 60 minutes.
3. And fusing various data source data including AIS data, beidou data, shore-based radar data, ship-based radar data and the like into a calculation range.
AIS mainly is that international cargo ship or more than 300t ship all must install and deploy, and the big dipper positioning system has also all been installed and deployed to small-size ship most, is the scanning dead angle of bank base radar in view of some sea areas, combines the ship base radar to scan.
4. And carrying out time and position normalization processing on the received real-time positioning data of the ship. Since the positioning signals are transmitted and stored at times, in particular part of the AIS signals are received via the AIS satellites, the time delay can be up to 30 minutes or even 60 minutes, correcting the vessel positioning to a uniform time stamp, which is generally within the calculation period. The calculation method generally uses the position and the instantaneous speed at each moment to perform fitting.
5. And formatting the position information of all ship positioning data, and unifying the position information to a coordinate system and projection. Generally in wgs84 geodetic coordinates. And correcting the positioning position of the ship by using the ship length and the ship width.
6. Traversing the ships, and screening the ships within the range of the buffer area by using buffer area analysis. The buffer area is set to be 1000m, 500m and 100m according to the early warning level, and the early warning level and the range of the buffer area are adjusted according to actual needs and the characteristics of the monitored ship. According to actual needs, the ship-to-ship distance triggering early warning can be selected and configured in a targeted mode.
7. And recording the ship connection early warning event, and storing main parameters including ship number, position, time, distance and the like together in a database.
8. And carrying out early warning statistics on the ship connection events within 24 hours or 48 hours (which can be freely configured) and outputting the early warning statistics.
AIS dynamic message:
"userid":"477686600","receive_time":"2022-04-02
21:45:38","messageid":"UwfMe7IYBNGkI31MIIV2","nav_status":"15","rot":"","sog":"1","longit ude":"47824214","latitude":"4153255","cog":"2540","true_heading":"215","dsource":"CJ"
big dipper dynamic message:
"locationTime":"2022-04-05
04:09:23","trackId":208400895,"texture":255,"latitude":19.730861,"shipWidth":32,"deviceId":15011521,"speed":0,"sendTime":"2022-04-05
04:09:24","shipLength":130,"shipType":255,"workType":255,"workWay":0,"online":1,"kwh":3,"longitude":109.185944,"direction":0
radar message:
"targettype":"01","utc":1649109402,"mmsi":0,"heading":5.6236234,"latitude":18384707,"len gth":20,"speed":1.4634093,"quality":0.5,"extInfo":"","name":"","course":322.20987,"id":13928,"predicted":false,"longitude":109907233}
through the embodiment, the early warning of the ship berthing event can be realized, and the automatic detection is provided for the unusual ship activities.
Example 2
The present embodiment provides a computer-readable storage medium, in which at least one instruction, at least one program, a code set, or a set of instructions is stored, and the at least one instruction, the at least one program, the code set, or the set of instructions is loaded and executed by a processor to implement the ship-approach event identification method of embodiment 1.
A storage medium may include a physical device for storing information, and typically, the information is digitized and then stored using an electrical, magnetic, or optical media. The storage medium may include: devices that store information using electrical energy, such as various types of memory, e.g., RAM, ROM, etc.; devices that store information using magnetic energy such as hard disks, floppy disks, tapes, core memories, bubble memories, and usb disks; devices that store information optically, such as CDs or DVDs. Of course, there are other ways of storing media that can be read, such as quantum memory, graphene memory, and so forth.
Example 3
The present embodiment provides a computer device, as shown in fig. 3, the computer device includes a processor and a memory, where at least one instruction, at least one program, a code set, or an instruction set is stored in the memory, and the at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by the processor to implement the ship-approach event identification method of embodiment 1.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc.
The memory may be used for storing the computer program or module, and the processor may implement various functions of the mirror neuron therapy-based auxiliary terminal device by executing or executing the computer program or module stored in the memory and calling data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The present invention is not limited to the above embodiments, and any modifications, equivalents, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A ship berthing event identification method is characterized by comprising the following steps:
s1, listing ships in a sea area range to be detected in a list of the ships to be detected;
s2, correcting the position of the ship;
s3, traversing all ships in the ship list to be detected, listing the ships meeting the retrieval conditions into a ship-in list to be confirmed, and recording ship-in events;
and S4, early warning and storing the ship-approaching event.
2. The ship berthing identification method of claim 1, wherein the step S1 comprises:
s11, setting a sea area range to be detected;
s12, listing the ships in the sea area range to be detected into a list of the ships to be detected;
and S13, carrying out normalization processing on the positions of the ships in the ship list to be detected.
3. The ship berthing identification method of claim 1, wherein the step S2 comprises:
s21, correcting the position of the ship according to the time, and correcting the ship positioning to a uniform timestamp;
and S22, correcting the position deviation brought by the antenna according to the ship length and the ship width of the ship, and adjusting the position of the ship to be the central position of the ship.
4. The ship berthing identification method of claim 1, wherein the step S3 comprises:
s311, traversing all ships in the ship list to be detected;
s312, dividing a buffer area by taking the value of the first threshold value plus half of the ship length as a radius;
s313, if the ship meets the retrieval condition, listing the ship in a first ship-holding list to be confirmed;
s314, recording the time stamp, all ships in the ship list to be detected, the positions of all ships in the ship list to be detected, the first ship-to-be-confirmed-ship-berthing list and the positions of ships meeting the retrieval conditions.
5. The method of claim 4, wherein the step S3 further comprises:
s321, traversing all ships in the ship list to be detected;
s322, dividing a buffer area by taking the value of the second threshold value plus half of the ship width as a radius;
s323, if the ship accords with the retrieval condition, the ship is listed in a second ship-berthing list to be confirmed;
and S324, recording the time stamp, all the ships in the ship list to be detected, the positions of all the ships in the ship list to be detected, the second ship-to-be-confirmed berthing list and the positions of the ships meeting the retrieval conditions.
6. The ship berthing identification method of claim 1, further comprising the steps of:
and S5, if the detection result error of the ship berthing event is large, carrying out optimization processing until the detection result meets the expectation.
7. The ship berthing identification method of claim 6, wherein the step S5 comprises:
s331, adjusting and optimizing the first threshold and the second threshold, and repeating the steps S311 to S314 and the steps S321 to S324 until the detection result meets expectations;
and S332, calculating the calculation cycle time required by finishing the step S1 to the step S4 once, and optimizing the time interval.
8. The ship berthing identification method according to claim 1, further comprising, before the step S1, the steps of:
s0, setting detection time, and searching the sea area range to be detected by taking the detection time as a period.
9. A computer readable storage medium having stored therein at least one instruction, at least one program, set of codes, or set of instructions, which is loaded and executed by a processor to implement a method of berthing according to any of claims 1 to 8.
10. A computer device comprising a processor and a memory, the memory having stored therein at least one instruction, at least one program, set of codes, or set of instructions, the at least one instruction, at least one program, set of codes, or set of instructions being loaded and executed by the processor to implement the method of berthing according to any of claims 1 to 8.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116863756A (en) * | 2023-09-05 | 2023-10-10 | 太极计算机股份有限公司 | Real-time early warning method, device and storage medium for offshore connection |
| CN117218601A (en) * | 2023-10-18 | 2023-12-12 | 亿海蓝（北京）数据技术股份公司 | Method and device for determining authenticity of ship leaning operation and readable storage medium |
| CN117218898A (en) * | 2023-11-07 | 2023-12-12 | 亿海蓝（北京）数据技术股份公司 | Method and device for identifying offshore oil depot ship, electronic equipment and readable storage medium |
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2022
- 2022-11-15 CN CN202211431964.2A patent/CN115758242A/en active Pending
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116863756A (en) * | 2023-09-05 | 2023-10-10 | 太极计算机股份有限公司 | Real-time early warning method, device and storage medium for offshore connection |
| CN116863756B (en) * | 2023-09-05 | 2023-12-15 | 太极计算机股份有限公司 | Real-time early warning method, device and storage medium for offshore connection |
| CN117218601A (en) * | 2023-10-18 | 2023-12-12 | 亿海蓝（北京）数据技术股份公司 | Method and device for determining authenticity of ship leaning operation and readable storage medium |
| CN117218601B (en) * | 2023-10-18 | 2024-06-04 | 亿海蓝（北京）数据技术股份公司 | Method and device for determining authenticity of ship leaning operation and readable storage medium |
| CN117218898A (en) * | 2023-11-07 | 2023-12-12 | 亿海蓝（北京）数据技术股份公司 | Method and device for identifying offshore oil depot ship, electronic equipment and readable storage medium |
| CN117218898B (en) * | 2023-11-07 | 2024-02-13 | 亿海蓝（北京）数据技术股份公司 | Method and device for identifying offshore oil depot ship, electronic equipment and readable storage medium |
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