CN112435449A - Full-digital intelligent fishery illegal ship identification and troubleshooting system and method - Google Patents
Full-digital intelligent fishery illegal ship identification and troubleshooting system and method Download PDFInfo
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Abstract
The invention relates to a full-digital intelligent fishery illegal ship identification and troubleshooting system and a method, comprising the following steps: acquiring violation information of the ship through big data and generating supervision information; acquiring ship state information, comparing the ship state information with supervision information, and determining violation types; determining a supervision level according to the violation type, and generating alarm information; the warning information is fed back to the target ship, corresponding supervision warning is given according to different violation degrees, the grade division is strict, severe violation ships are withheld, in the violation degree judgment process, comparison is carried out through two threshold values, and the violation degree of the fishery ship can be accurately divided.
Description
Technical Field
The invention relates to a fishery illegal ship identification and troubleshooting system, in particular to a full-digital intelligent fishery illegal ship identification and troubleshooting system and method.
Background
At present, the sea traffic is complex and difficult, and ships encounter many problems and situations while sailing at sea, making the management of ships more difficult than the management of vehicles on land. Nevertheless, ship management is necessary because it involves not only maintenance of the maritime equity of the country but also safety management of the maritime ships. At present, ship management is limited to monitoring position information of a ship so as to grasp a navigation position of the ship from time to time, and when an abnormal navigation condition of the ship is found, further detailed conditions of the ship are confirmed, and further measures such as checking, withholding, fine and eviction of illegal and illegal ships and individuals are taken after the conditions are determined.
In order to guarantee that accurate troubleshooting needs to be carried out on fishery illegal ships, a system matched with the system needs to be developed for control, ship illegal information can be obtained through big data through the system, supervision information is generated, the illegal type and the supervision level are determined through ship state information, alarm information is generated, illegal ships are warned, accurate control is achieved on the fishery illegal ship identification and troubleshooting system, and the fishery illegal ship identification and troubleshooting system is urgent to be solved.
Disclosure of Invention
The invention overcomes the defects of the prior art and provides a full-digital intelligent fishery illegal ship identification and troubleshooting system and method.
In order to achieve the purpose, the invention adopts the technical scheme that: a full-digital intelligent fishery illegal ship identification and troubleshooting method comprises the following steps:
acquiring violation information of the ship through big data and generating supervision information;
acquiring ship state information, comparing the ship state information with supervision information, and determining violation types;
determining a supervision level according to the violation type, and generating alarm information;
and feeding back the alarm information to the target ship.
In a preferred embodiment of the present invention, the supervision information includes one or more of sailing prohibition, anchor dropping prohibition, stay prohibition, waste dumping prohibition, and ship exhaust emission index.
In a preferred embodiment of the invention, obtaining the vessel status information comprises
Acquiring a preset navigation map and preset navigation information of a ship;
acquiring real-time navigation information of a ship, and comparing the real-time navigation information with preset navigation information to obtain a deviation rate;
judging whether the deviation rate is larger than the deviation rate threshold value or not;
if so, judging that the ship behavior is abnormal, and executing supervision matters.
In a preferred embodiment of the present invention, the supervision issues include speed anomaly, track anomaly, and position anomaly;
the speed anomaly comprises one or more of sudden acceleration, sudden deceleration and wandering;
the track abnormity comprises that the ship does not drive to a preset port and stays on the ship;
the position abnormality comprises deviation of a navigation channel, deviation of a course, shoreside aggregation and invasion of a no-navigation area.
In a preferred embodiment of the invention, according to the violation type, the supervision level is determined, and the alarm information is generated; specifically comprises
Acquiring violation record information of a target ship and generating danger degree information;
the information on the degree of risk is compared with a predetermined first threshold value,
if the alarm level is greater than the first supervision level, generating a first supervision level, determining a first alarm level, and generating corresponding first alarm information;
the information of the degree of risk is compared with a second threshold value,
if the alarm level is greater than the first alarm level, generating a second supervision level, determining a second alarm level, and generating corresponding second alarm information;
the first threshold is less than the second threshold.
In a preferred embodiment of the invention, the first warning message comprises an alarm bell, a warning lamp flickering, a command to return to an original route and a fine; the second warning information comprises prohibition of continuous navigation, focus attention and detaining.
In a preferred embodiment of the present invention, the monitoring information includes an exhaust emission index, specifically, exhaust monitoring data of the monitoring point location is collected;
acquiring the meteorological information of the monitoring point through the meteorological observation point,
acquiring vector superposition information according to the abandoned diffusion information under the combined action of the monitoring data and the meteorological information, and generating pollutant emission information;
comparing the pollutant emission information with preset information to obtain deviation information and generating a deviation rate;
determining whether the deviation ratio is greater than a predetermined threshold,
and if so, generating alarm information.
The second aspect of the invention also provides a full-digital intelligent fishery illegal ship identification and troubleshooting system, which comprises: the system comprises a memory and a processor, wherein the memory comprises a full-digital intelligent fishery illegal ship identification and troubleshooting method program, and the full-digital intelligent fishery illegal ship identification and troubleshooting method program realizes the following steps when being executed by the processor:
acquiring violation information of the ship through big data and generating supervision information;
acquiring ship state information, comparing the ship state information with supervision information, and determining violation types;
determining a supervision level according to the violation type, and generating alarm information;
and feeding back the alarm information to the target ship.
In a preferred embodiment of the invention, obtaining the vessel status information comprises
Acquiring a preset navigation map and preset navigation information of a ship;
acquiring real-time navigation information of a ship, and comparing the real-time navigation information with preset navigation information to obtain a deviation rate;
judging whether the deviation rate is larger than the deviation rate threshold value or not;
if so, judging that the ship behavior is abnormal, and executing supervision matters.
In a preferred embodiment of the present invention, the monitoring information includes an exhaust emission index, specifically, exhaust monitoring data of the monitoring point location is collected;
acquiring the meteorological information of the monitoring point through the meteorological observation point,
acquiring vector superposition information according to the abandoned diffusion information under the combined action of the monitoring data and the meteorological information, and generating pollutant emission information;
comparing the pollutant emission information with preset information to obtain deviation information and generating a deviation rate;
determining whether the deviation ratio is greater than a predetermined threshold,
and if so, generating alarm information.
The invention solves the defects in the background technology, and has the following beneficial effects:
(1) according to the method and the device, the violation information of the ship is acquired through big data, the supervision information is generated, the violation type and the supervision level are determined through the ship state information, the warning information is generated, the violation ship is warned, and the safe operation of the marine fishery ship is guaranteed.
(2) Corresponding supervision warning is given according to different violation degrees, grade division is strict, severe violation ships are withheld, and in the violation degree judgment process, the two threshold values are compared, so that the violation degrees of fishery ships can be accurately divided.
(3) For the behavior of illegally discharging tail gas of the fishery ship, the monitoring data at the monitoring point is combined with meteorological information to be calculated through vector superposition, so that the situation that the monitoring data has larger deviation due to wind speed is prevented, and the monitoring precision is improved.
Drawings
The invention is further illustrated with reference to the following figures and examples.
FIG. 1 shows a flow chart of a full-digital intelligent fishery violation ship identification and troubleshooting method of the invention;
FIG. 2 illustrates a flow chart of a method of obtaining ship status information;
FIG. 3 illustrates a flow chart of a method of determining a level of supervision;
FIG. 4 illustrates a flow chart of a regulated exhaust emission method;
fig. 5 shows a block diagram of an all-digital intelligent fishery violation ship identification and troubleshooting system.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
Fig. 1 shows a flow chart of an all-digital intelligent fishery illegal ship identification and troubleshooting method of the invention.
As shown in fig. 1, a first aspect of the present invention provides a full-digital intelligent fishery violation ship identification and troubleshooting method, including:
s102, acquiring ship violation information through big data and generating supervision information;
s104, acquiring ship state information, comparing the ship state information with supervision information, and determining violation types;
s106, determining a supervision level according to the violation type, and generating alarm information;
and S108, feeding the alarm information back to the target ship.
It should be noted that the violation information of the ship is acquired through big data, the supervision information is generated, the violation type and the supervision level are determined through the ship state information, the alarm information is generated, the violation ship is warned, and the safe operation of the marine fishery ship is ensured.
According to the embodiment of the invention, the supervision information comprises one or more of sailing prohibition, anchoring prohibition, stay prohibition, waste dumping prohibition and ship tail gas emission indexes.
As shown in fig. 2, the present invention discloses a flow chart of a method for obtaining ship state information;
according to the embodiment of the invention, the ship state information is acquired, including
S202, acquiring a preset navigation map and preset navigation information of the ship;
s204, acquiring real-time navigation information of the ship, and comparing the real-time navigation information with preset navigation information to obtain a deviation rate;
s206, judging whether the deviation rate is larger than the deviation rate threshold value;
and S208, if the current value is larger than the preset value, judging that the ship behavior is abnormal, and executing supervision matters.
The vessel supervision items may be after the target vessel is determined, or before the target vessel is determined (for example, default supervision items corresponding to different types of vessels are automatically set), or before and after the target vessel is determined, specifically, the supervision items corresponding to the vessel are set by default before the target vessel is determined, and the supervision items of the target vessel are reset by the vessel management device of the local end after the target vessel is determined.
According to the embodiment of the invention, the supervision matters comprise abnormal speed, abnormal track and abnormal position;
the speed anomaly comprises one or more of sudden acceleration, sudden deceleration and wandering;
the track abnormity comprises that the ship does not drive to a preset port and stays on the ship;
the position abnormality comprises deviation of a navigation channel, deviation of a course, shoreside aggregation and invasion of a no-navigation area.
As shown in FIG. 3, the present invention discloses a flow chart of a method for determining a supervisory level;
according to the embodiment of the invention, the supervision level is determined according to the violation type, and the alarm information is generated; specifically comprises
S302, acquiring violation record information of the target ship and generating danger degree information;
s304, comparing the danger degree information with a preset first threshold value,
s306, if the alarm level is larger than the first monitoring level, generating a first supervision level, determining a first alarm level, and generating corresponding first alarm information;
s308, comparing the danger degree information with a second threshold value,
s310, if the alarm level is larger than the first alarm level, generating a second supervision level, determining a second alarm level, and generating corresponding second alarm information;
the first threshold is less than the second threshold.
It should be noted that corresponding supervision and warning are given according to different violation degrees, the grade division is strict, severe violation ships are withheld, and the violation degree of the fishery ships can be accurately divided by comparing two threshold values in the violation degree judgment process.
According to the embodiment of the invention, the first warning information comprises an alarm bell, a flashing warning lamp, a command for returning to an original route and a fine; the second warning information comprises prohibition of continuous navigation, focus attention and detaining.
As shown in FIG. 4, the present invention discloses a flow chart of a method for supervising exhaust emissions;
according to an embodiment of the present invention, the regulatory information includes an exhaust emission index, specifically,
s402, collecting tail gas monitoring data of monitoring point positions;
s404, acquiring meteorological information of a monitoring point through a meteorological observation point,
s406, acquiring vector superposition information according to the abandoned diffusion information under the combined action of the monitoring data and the meteorological information, and generating pollutant emission information;
s408, comparing the pollutant emission information with preset information to obtain deviation information and generating a deviation rate;
s410, judging whether the deviation ratio is larger than a preset threshold value,
and S412, if the value is larger than the preset value, generating alarm information.
It should be noted that for the behavior of illegal tail gas emission of the fishery ship, the data monitored at the monitoring point is combined with the meteorological information to be calculated through vector superposition, so that the situation that the monitoring data deviation is large due to wind speed is prevented, and the monitoring precision is improved.
As shown in fig. 5, the invention discloses a block diagram of a full-digital intelligent fishery violation ship identification and troubleshooting system;
the second aspect of the present invention further provides a full-digital intelligent fishery violation ship identification and troubleshooting system 5, where the system 5 includes: the system comprises a memory 51 and a processor 52, wherein the memory comprises a full-digital intelligent fishery illegal ship identification and troubleshooting method program, and the full-digital intelligent fishery illegal ship identification and troubleshooting method program realizes the following steps when being executed by the processor:
acquiring violation information of the ship through big data and generating supervision information;
acquiring ship state information, comparing the ship state information with supervision information, and determining violation types;
determining a supervision level according to the violation type, and generating alarm information;
and feeding back the alarm information to the target ship.
According to the embodiment of the invention, the ship state information is acquired, including
Acquiring a preset navigation map and preset navigation information of a ship;
acquiring real-time navigation information of a ship, and comparing the real-time navigation information with preset navigation information to obtain a deviation rate;
judging whether the deviation rate is larger than the deviation rate threshold value or not;
if so, judging that the ship behavior is abnormal, and executing supervision matters.
According to an embodiment of the present invention, the regulatory information includes an exhaust emission index, specifically,
collecting tail gas monitoring data of monitoring point positions;
acquiring the meteorological information of the monitoring point through the meteorological observation point,
acquiring vector superposition information according to the abandoned diffusion information under the combined action of the monitoring data and the meteorological information, and generating pollutant emission information;
comparing the pollutant emission information with preset information to obtain deviation information and generating a deviation rate;
determining whether the deviation ratio is greater than a predetermined threshold,
and if so, generating alarm information.
According to the embodiment of the invention, the supervision information comprises one or more of sailing prohibition, anchoring prohibition, stay prohibition, waste dumping prohibition and ship tail gas emission indexes.
According to the embodiment of the invention, the supervision matters comprise abnormal speed, abnormal track and abnormal position;
the speed anomaly comprises one or more of sudden acceleration, sudden deceleration and wandering;
the track abnormity comprises that the ship does not drive to a preset port and stays on the ship;
the position abnormality comprises deviation of a navigation channel, deviation of a course, shoreside aggregation and invasion of a no-navigation area.
According to the embodiment of the invention, the supervision level is determined according to the violation type, and the alarm information is generated; specifically comprises
Acquiring violation record information of a target ship and generating danger degree information;
the information on the degree of risk is compared with a predetermined first threshold value,
if the alarm level is greater than the first supervision level, generating a first supervision level, determining a first alarm level, and generating corresponding first alarm information;
the information of the degree of risk is compared with a second threshold value,
if the alarm level is greater than the first alarm level, generating a second supervision level, determining a second alarm level, and generating corresponding second alarm information;
the first threshold is less than the second threshold.
It should be noted that corresponding supervision and warning are given according to different violation degrees, the grade division is strict, severe violation ships are withheld, and the violation degree of the fishery ships can be accurately divided by comparing two threshold values in the violation degree judgment process.
According to the embodiment of the invention, the first warning information comprises an alarm bell, a flashing warning lamp, a command for returning to an original route and a fine; the second warning information comprises prohibition of continuous navigation, focus attention and detaining.
According to the method and the device, the violation information of the ship is acquired through big data, the supervision information is generated, the violation type and the supervision level are determined through the ship state information, the warning information is generated, the violation ship is warned, and the safe operation of the marine fishery ship is guaranteed.
Corresponding supervision warning is given according to different violation degrees, grade division is strict, severe violation ships are withheld, and in the violation degree judgment process, the two threshold values are compared, so that the violation degrees of fishery ships can be accurately divided.
For the behavior of illegally discharging tail gas of the fishery ship, the monitoring data at the monitoring point is combined with meteorological information to be calculated through vector superposition, so that the situation that the monitoring data has larger deviation due to wind speed is prevented, and the monitoring precision is improved.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. The above-described device embodiments are merely illustrative, for example, the division of a unit is only one logical function division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps for realizing the method embodiments can be completed by hardware related to program instructions, the program can be stored in a computer readable storage medium, and the program executes the steps comprising the method embodiments when executed; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods of the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A full-digital intelligent fishery illegal ship identification and troubleshooting method is characterized by comprising the following steps:
acquiring violation information of the ship through big data and generating supervision information;
acquiring ship state information, comparing the ship state information with supervision information, and determining violation types;
determining a supervision level according to the violation type, and generating alarm information;
and feeding back the alarm information to the target ship.
2. The all-digital intelligent fishery illegal ship identification and troubleshooting method according to claim 1, characterized in that: the supervision information comprises one or more of sailing prohibition, anchoring prohibition, stay prohibition, waste dumping prohibition and ship tail gas emission indexes.
3. The all-digital intelligent fishery illegal ship identification and troubleshooting method according to claim 1, characterized in that: obtaining ship state information, including
Acquiring a preset navigation map and preset navigation information of a ship;
acquiring real-time navigation information of a ship, and comparing the real-time navigation information with preset navigation information to obtain a deviation rate;
judging whether the deviation rate is larger than the deviation rate threshold value or not;
if so, judging that the ship behavior is abnormal, and executing supervision matters.
4. The all-digital intelligent fishery illegal ship identification and troubleshooting method according to claim 3, characterized in that: the supervision items comprise abnormal speed, abnormal track and abnormal position;
the speed anomaly comprises one or more of sudden acceleration, sudden deceleration and wandering;
the track abnormity comprises that the ship does not drive to a preset port and stays on the ship;
the position abnormality comprises deviation of a navigation channel, deviation of a course, shoreside aggregation and invasion of a no-navigation area.
5. The all-digital intelligent fishery illegal ship identification and troubleshooting method according to claim 1, characterized in that: determining a supervision level according to the violation type, and generating alarm information; specifically comprises
Acquiring violation record information of a target ship and generating danger degree information;
the information on the degree of risk is compared with a predetermined first threshold value,
if the alarm level is greater than the first supervision level, generating a first supervision level, determining a first alarm level, and generating corresponding first alarm information;
the information of the degree of risk is compared with a second threshold value,
if the alarm level is greater than the first alarm level, generating a second supervision level, determining a second alarm level, and generating corresponding second alarm information;
the first threshold is less than the second threshold.
6. The all-digital intelligent fishery illegal ship identification and troubleshooting method according to claim 5, characterized in that: the first warning information comprises an alarm bell, a flashing warning lamp, a command to return to an original route and a fine; the second warning information comprises prohibition of continuous navigation, focus attention and detaining.
7. The all-digital intelligent fishery illegal ship identification and troubleshooting method according to claim 2, characterized in that: the regulatory information includes a tail gas emission index, specifically,
collecting tail gas monitoring data of monitoring point positions;
acquiring the meteorological information of the monitoring point through the meteorological observation point,
acquiring vector superposition information according to the abandoned diffusion information under the combined action of the monitoring data and the meteorological information, and generating pollutant emission information;
comparing the pollutant emission information with preset information to obtain deviation information and generating a deviation rate;
determining whether the deviation ratio is greater than a predetermined threshold,
and if so, generating alarm information.
8. The utility model provides a full-digital intelligent fishery violation ship identification investigation system which characterized in that, this system includes: the system comprises a memory and a processor, wherein the memory comprises a full-digital intelligent fishery illegal ship identification and troubleshooting method program, and the full-digital intelligent fishery illegal ship identification and troubleshooting method program realizes the following steps when being executed by the processor:
acquiring violation information of the ship through big data and generating supervision information;
acquiring ship state information, comparing the ship state information with supervision information, and determining violation types;
determining a supervision level according to the violation type, and generating alarm information;
and feeding back the alarm information to the target ship.
9. The all-digital intelligent fishery illegal ship identification and troubleshooting system according to claim 8, characterized in that: obtaining ship state information, including
Acquiring a preset navigation map and preset navigation information of a ship;
acquiring real-time navigation information of a ship, and comparing the real-time navigation information with preset navigation information to obtain a deviation rate;
judging whether the deviation rate is larger than the deviation rate threshold value or not;
if so, judging that the ship behavior is abnormal, and executing supervision matters.
10. The all-digital intelligent fishery illegal ship identification and troubleshooting system according to claim 8, characterized in that: the regulatory information includes a tail gas emission index, specifically,
collecting tail gas monitoring data of monitoring point positions;
acquiring the meteorological information of the monitoring point through the meteorological observation point,
acquiring vector superposition information according to the abandoned diffusion information under the combined action of the monitoring data and the meteorological information, and generating pollutant emission information;
comparing the pollutant emission information with preset information to obtain deviation information and generating a deviation rate;
determining whether the deviation ratio is greater than a predetermined threshold,
and if so, generating alarm information.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112907107A (en) * | 2021-03-12 | 2021-06-04 | 中国水产科学研究院南海水产研究所 | Fishery accident emergency processing system and method based on multi-source information fusion |
| CN113341407A (en) * | 2021-06-02 | 2021-09-03 | 中国水产科学研究院南海水产研究所 | Fishing tracking system and method based on radar detection |
| CN113591540A (en) * | 2021-06-02 | 2021-11-02 | 中国水产科学研究院南海水产研究所 | Method and system for monitoring and early warning illegal fishing in fishery |
| CN115102881A (en) * | 2022-05-16 | 2022-09-23 | 祝海东 | Ship port reporting information abnormity judgment method based on ship port reporting big data |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101859497A (en) * | 2009-10-19 | 2010-10-13 | 舟山电力局 | Monitoring device for preventing passing ship from damaging submarine cable |
| CN102831787A (en) * | 2012-07-30 | 2012-12-19 | 广东省公安边防总队 | Quay berth-based intelligent supervision method and system |
| CN106598051A (en) * | 2016-12-13 | 2017-04-26 | 浙江嘉蓝海洋电子有限公司 | Sailing track control method based on power vector |
| CN107330803A (en) * | 2017-06-23 | 2017-11-07 | 中船重工鹏力（南京）大气海洋信息***有限公司 | It is a kind of based on the illegal behavior method of discrimination fished for of multifunction radar ship |
| CN109060014A (en) * | 2018-07-16 | 2018-12-21 | 交通运输部水运科学研究所 | A kind of marine exhaust discharge compliance determines and violation ship identification method and system |
| CN109754202A (en) * | 2018-12-05 | 2019-05-14 | 深圳市闻迅数码科技有限公司 | A kind of ship-handling method, ship-handling device and computer readable storage medium |
| CN109978335A (en) * | 2019-02-26 | 2019-07-05 | 交通运输部水运科学研究所 | A kind of marine fuel oil compliance determines and violation recognition methods |
| CN110491171A (en) * | 2019-09-17 | 2019-11-22 | 南京莱斯网信技术研究院有限公司 | A kind of water transportation supervision early warning system and method based on machine learning techniques |
| CN111028545A (en) * | 2019-12-18 | 2020-04-17 | 广州大学华软软件学院 | Lake ship management and monitoring system |
| CN111338313A (en) * | 2020-04-15 | 2020-06-26 | 重庆云创科技有限公司 | Ship navigation state information-based ship auxiliary scheduling method and system |
| CN111402635A (en) * | 2020-03-06 | 2020-07-10 | 深圳市闻迅数码科技有限公司 | Navigation speed supervision method, device, equipment and storage medium |
-
2020
- 2020-11-24 CN CN202011328137.1A patent/CN112435449A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101859497A (en) * | 2009-10-19 | 2010-10-13 | 舟山电力局 | Monitoring device for preventing passing ship from damaging submarine cable |
| CN102831787A (en) * | 2012-07-30 | 2012-12-19 | 广东省公安边防总队 | Quay berth-based intelligent supervision method and system |
| CN106598051A (en) * | 2016-12-13 | 2017-04-26 | 浙江嘉蓝海洋电子有限公司 | Sailing track control method based on power vector |
| CN107330803A (en) * | 2017-06-23 | 2017-11-07 | 中船重工鹏力（南京）大气海洋信息***有限公司 | It is a kind of based on the illegal behavior method of discrimination fished for of multifunction radar ship |
| CN109060014A (en) * | 2018-07-16 | 2018-12-21 | 交通运输部水运科学研究所 | A kind of marine exhaust discharge compliance determines and violation ship identification method and system |
| CN109754202A (en) * | 2018-12-05 | 2019-05-14 | 深圳市闻迅数码科技有限公司 | A kind of ship-handling method, ship-handling device and computer readable storage medium |
| CN109978335A (en) * | 2019-02-26 | 2019-07-05 | 交通运输部水运科学研究所 | A kind of marine fuel oil compliance determines and violation recognition methods |
| CN110491171A (en) * | 2019-09-17 | 2019-11-22 | 南京莱斯网信技术研究院有限公司 | A kind of water transportation supervision early warning system and method based on machine learning techniques |
| CN111028545A (en) * | 2019-12-18 | 2020-04-17 | 广州大学华软软件学院 | Lake ship management and monitoring system |
| CN111402635A (en) * | 2020-03-06 | 2020-07-10 | 深圳市闻迅数码科技有限公司 | Navigation speed supervision method, device, equipment and storage medium |
| CN111338313A (en) * | 2020-04-15 | 2020-06-26 | 重庆云创科技有限公司 | Ship navigation state information-based ship auxiliary scheduling method and system |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112907107A (en) * | 2021-03-12 | 2021-06-04 | 中国水产科学研究院南海水产研究所 | Fishery accident emergency processing system and method based on multi-source information fusion |
| CN112907107B (en) * | 2021-03-12 | 2024-01-09 | 中国水产科学研究院南海水产研究所 | Fishery accident emergency treatment system and method based on multisource information fusion |
| CN113341407A (en) * | 2021-06-02 | 2021-09-03 | 中国水产科学研究院南海水产研究所 | Fishing tracking system and method based on radar detection |
| CN113591540A (en) * | 2021-06-02 | 2021-11-02 | 中国水产科学研究院南海水产研究所 | Method and system for monitoring and early warning illegal fishing in fishery |
| CN113591540B (en) * | 2021-06-02 | 2024-01-09 | 中国水产科学研究院南海水产研究所 | Method and system for monitoring and early warning illegal fishing in fishery |
| CN113341407B (en) * | 2021-06-02 | 2024-02-06 | 中国水产科学研究院南海水产研究所 | Fishery fishing tracking system and method based on radar detection |
| CN115102881A (en) * | 2022-05-16 | 2022-09-23 | 祝海东 | Ship port reporting information abnormity judgment method based on ship port reporting big data |
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Application publication date: 20210302 |