CN114202581A - Intelligent control system and method for fish prohibition in Yangtze river - Google Patents
Intelligent control system and method for fish prohibition in Yangtze river Download PDFInfo
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Abstract
The invention provides an intelligent control system and method for fish prohibition in Yangtze river, which comprises the following steps: the system comprises a plurality of inspection devices, a plurality of image acquisition devices and a plurality of image acquisition devices, wherein the inspection devices are used for acquiring real-time images of a river according to a pre-configured inspection path to obtain and store corresponding river images; the first processing module is used for extracting the characteristics of the river image to obtain a river image containing at least one ship and outputting the river image as a processed image; the second processing module is used for processing the processed image and a crew behavior model obtained by pre-training to obtain a ship with an illegal fishing behavior in the processed image; the prediction module is used for processing the navigation state obtained by detection to obtain a predicted course of the ship in a predicted time period; the execution module is used for driving the inspection device to arrive at the ship according to the predicted course, and the inspection device fixes a positioner on the ship so as to output a positioning signal in real time for a control person to track. The ship control method has the beneficial effects that the ship control strength and efficiency in the period of no fishing in Yangtze river are improved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an intelligent control system and method for fishing prohibition in Yangtze river.
Background
The Yangtze river is an ecological river with most typical biodiversity in China, and the 'ten-year fishing prohibition' of the Yangtze river is implemented, so that the aquatic organism resource protection of the Yangtze river basin is really enhanced, the fishing prohibition range of the Yangtze river mouth is gradually enlarged along with the development of the fishing prohibition work of the Yangtze river, and due to the fact that the Yangtze river ports are numerous, the difficulty in identifying 'three ships without' among numerous ships and judging illegal fishing behaviors is high, and the 'three without' ships refer to ships without ship names, ship certificates and ship ports.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an intelligent control system for fish prohibition in Yangtze river, which comprises the following steps:
the system comprises a plurality of inspection devices, a plurality of image acquisition devices and a plurality of image acquisition devices, wherein the inspection devices are used for acquiring real-time images of a river according to a pre-configured inspection path to obtain and store corresponding river images;
the first processing module is respectively connected with each inspection device and used for performing feature extraction on the river image to obtain the river image containing at least one ship and outputting the river image as a processed image;
the second processing module is connected with the first processing module and used for processing the processed image and a pre-trained crew behavior model to obtain the ship with an illegal fishing behavior in the processed image;
the prediction module is connected with the second processing module and used for detecting the navigation state of the ship with the illegal fishing behavior and processing the navigation state to obtain a predicted course of the ship in a predicted time period;
the execution module is connected with the prediction module and used for driving the inspection device to arrive at the ship according to the predicted air route, the inspection device fixes a positioner onto the ship, and the positioner outputs a positioning signal in real time for a management and control person to track.
Preferably, the system further comprises a training data module, connected to the second processing module, and configured to store a training image including the illegal fishing behavior, and the crew behavior model is obtained by training with the training image as an input and a ship in the training image with the illegal fishing behavior as an output.
Preferably, the inspection device is further configured to acquire position information of the ship, and the prediction module is configured to process the position information and the navigation state to obtain the predicted course of the ship in the predicted time period and output the predicted course.
Preferably, the system further comprises a storage module, connected to the first processing module, for storing the number information of a plurality of legal ships and the corresponding ship characteristic information;
the first processing module is further configured to process the processed image to obtain actual ship feature information and/or corresponding actual ship number information corresponding to the ship, and match the actual ship feature information and the ship number information of all legal ships to obtain corresponding matching results, where the matching results indicate that the ship in the processed image does not conform to all legal ships, and generate and output an alarm signal indicating that an illegal ship exists, so that the alarm signal is provided for the control staff to check.
Preferably, the inspection device arrives near the ship according to the predicted route, scans the river surface to identify the ship and obtain the corresponding position information, and transmits the locator to the ship according to the position information so that the management and control personnel can track and process the locator.
Preferably, the system further comprises an alarm module, wherein the alarm module is used for acquiring citizen reporting information input from the outside, screening the citizen reporting information to obtain the citizen reporting information containing the illegal fishing behavior, and outputting the screened citizen reporting information to be tracked by the management and control personnel.
Preferably, an intelligent control method for fish prohibition in the Yangtze river is further provided, and is applied to any one of the intelligent control systems for fish prohibition in the Yangtze river, and the intelligent control method for fish prohibition in the Yangtze river comprises the following steps:
step S1, real-time image acquisition is carried out on a river according to a pre-configured routing inspection path, and a corresponding river image is obtained and stored;
step S2, extracting the characteristics of the river image to obtain the river image containing at least one ship and outputting the river image as a processed image;
step S3, processing according to the processed image and a crew behavior model obtained by pre-training to obtain the ship with an illegal fishing behavior in the processed image;
step S4, detecting the navigation state of the ship with the illegal fishing behavior, and processing the navigation state to obtain a predicted course of the ship in a predicted time period;
and step S5, driving the inspection device to arrive at the ship according to the predicted route, fixing a positioner on the ship by the inspection device, and outputting a positioning signal by the positioner in real time for a control person to track.
Preferably, before executing the step S3, a model training process is further included:
the crew behavior model is obtained by taking a training image containing the illegal fishing behavior as input and taking a ship in the training image with the illegal fishing behavior as output training.
Preferably, before executing the step S4, the method further includes acquiring position information of the ship;
in step S4, the predicted route of the ship in the predicted time period is obtained and output according to the position information and the sailing state.
Preferably, the step S5 includes that the ship arrives near the ship according to the predicted route, the river surface is scanned to identify the ship and obtain the corresponding position information, and the locator is transmitted to the ship according to the position information to be tracked by the management and control personnel.
The technical scheme has the following advantages or beneficial effects:
(1) the ship on the river surface is subjected to real-time image acquisition through the inspection device, and the ship with illegal fishing behavior is positioned according to the acquired river surface image for tracking and processing of management and control personnel, so that the management and control force and the management and control efficiency of the ship in the period of no fishing in Yangtze river are improved;
(2) by predicting the ship route, the inspection device can reach the ship on the river surface along the predicted route, so that the time consumed by manually operating the inspection device to search the ship is reduced, and the efficiency of positioning the related ship after finding illegal fishing behaviors is improved;
(3) the routing inspection device transmits the locator to the ship with the illegal fishing behavior, so that the possibility of being found by a crew on the ship is reduced, and further convenience is brought to deep excavation of the illegal fishing behavior by management and control personnel.
Drawings
FIG. 1 is a control schematic diagram of an intelligent control system for fishing prohibition in Yangtze river according to a preferred embodiment of the present invention;
FIG. 2 is a flow chart of an intelligent control method for fish prohibition in Yangtze river according to a preferred embodiment of the present invention;
Detailed Description
The invention is described in detail below with reference to the figures and specific embodiments. The present invention is not limited to the embodiment, and other embodiments may be included in the scope of the present invention as long as the gist of the present invention is satisfied.
In a preferred embodiment of the present invention, based on the above problems in the prior art, an intelligent control system for fish prohibition in the Yangtze river is provided, as shown in fig. 1, including:
the system comprises a plurality of inspection devices 1, a plurality of image acquisition units and a plurality of image acquisition units, wherein the inspection devices are used for acquiring real-time images of a river surface according to a pre-configured inspection path to obtain and store corresponding river surface images;
the first processing module 2 is respectively connected with each inspection device 1 and used for extracting the characteristics of the river image to obtain a river image containing at least one ship and outputting the river image as a processed image;
the second processing module 3 is connected with the first processing module 2 and used for processing the processed image and a pre-trained crew behavior model to obtain a ship with an illegal fishing behavior in the processed image;
the prediction module 4 is connected with the second processing module 3 and used for detecting the navigation state of the ship with illegal fishing behavior and processing the navigation state to obtain a predicted course of the ship in a prediction time period;
the execution module 5 is connected with the prediction module 4 and used for driving the inspection device 1 to reach the ship according to the predicted route, the inspection device 1 fixes a positioner to the ship, and the positioner outputs a positioning signal in real time for a control person to track.
Specifically, in this embodiment, the river surface is patrolled and examined in real time along the route of patrolling and examining through patrol and examine device 1 and image acquisition is carried out in order to enlarge detection range, to the boats and ships that do not install radar equipment, discerns through the river surface image.
The spherical eagle eye camera is installed on the inspection device 1, in the inspection process of the inspection device 1, the spherical eagle eye camera records an inspection video in real time and uploads the inspection video to the preprocessing module in real time, and the preprocessing module acquires corresponding river surface images through the inspection video, so that the timeliness of the river surface images is improved.
In a preprocessing module, performing feature extraction on all river images according to an image recognition model obtained by pre-training to obtain river images containing ships, and outputting the river images serving as processed images; and then, detecting the behavior of the crew on the ship in the processed image, predicting the ship course when the detection result shows that the crew has illegal fishing behavior, controlling the inspection device 1 to arrive at the ship along the predicted course obtained by prediction, and then transmitting the locator outputting the locating signal in real time to the ship by the inspection device 1, so that a manager can conveniently track the ship with the locator subsequently.
The training process of the image recognition model is as follows: and acquiring river images within a period of time as corresponding training images, manually marking ships in the training images, and taking the corresponding training images as recognition result images, wherein the image recognition model is obtained by taking each training image as input and taking the recognition result images as output training.
In a preferred embodiment of the present invention, the training data module 6 is connected to the second processing module 3 and is configured to store a training image including an illegal fishing behavior, and the crew behavior model is obtained by using the training image as an input and using a ship in the training image with the illegal fishing behavior as an output training.
In a preferred embodiment of the present invention, the inspection device 1 is further configured to acquire position information of the ship, and the prediction module 4 is configured to process the position information and the navigation state to obtain a predicted course of the ship within a predicted time period and output the predicted course.
Specifically, in this embodiment, since it takes time for the inspection device 1 to reach the ship from the position during inspection, the moving path of the inspection device 1 is planned in time by predicting the route, and the moving speed of the inspection device 1 is adjusted according to the navigation state of the ship, so that the inspection device 1 transmits the positioner to the ship, and the work efficiency is improved.
In a preferred embodiment of the present invention, the system further comprises a storage module 7 connected to the first processing module 2, for storing the number information of a plurality of legal ships and the corresponding ship feature information;
the first processing module 2 is further configured to process the processed image to obtain actual ship feature information and/or corresponding actual ship number information of the ship, and match the actual ship feature information and the ship number information of all legal ships to obtain corresponding matching results, where when the matching results indicate that the ship in the processed image does not conform to all legal ships, an alarm signal indicating that an illegal ship exists is generated and output, so that a control person can check the alarm signal.
Specifically, in this embodiment, the probability that the ship belongs to the "three-nothing" ship is determined according to the actual ship characteristic information and/or the ship number information of the ship, and when the matching result indicates that the ship does not conform to the legal ships in the storage module 7, the management and control staff is prompted to pay attention to the corresponding ship and take intervention measures in advance to reduce the probability that the illegal fishing behavior is implemented by the illegal ship.
In a preferred embodiment of the invention, the inspection device 1 reaches the vicinity of the ship according to the predicted course, scans the river surface to identify the ship and obtain corresponding position information, and transmits the locator to the ship according to the position information for the management and control personnel to track.
In a preferred embodiment of the present invention, the system includes an alarm module 8, configured to obtain citizen reporting information input from outside, screen the citizen reporting information to obtain citizen reporting information including illegal fishing behavior, and output the screened citizen reporting information for a management and control person to perform tracking processing.
In a preferred embodiment of the present invention, there is further provided a method for intelligently controlling fish prohibition in the Yangtze river, which is applied to any one of the above-mentioned systems for intelligently controlling fish prohibition in the Yangtze river, as shown in fig. 2, the method for intelligently controlling fish prohibition in the Yangtze river includes:
step S1, real-time image acquisition is carried out on a river according to a pre-configured routing inspection path, and a corresponding river image is obtained and stored;
step S2, extracting the characteristics of the river image to obtain a river image containing at least one ship and outputting the river image as a processed image;
step S3, processing according to the processed image and a crew behavior model obtained by pre-training to obtain a ship with an illegal fishing behavior in the processed image;
step S4, detecting the navigation state of the ship with illegal fishing behavior, and processing according to the navigation state to obtain a predicted course of the ship in a predicted time period;
step S5, the inspection device 1 is driven to arrive at the ship according to the predicted route, the inspection device 1 fixes a positioner to the ship, and the positioner outputs a positioning signal in real time for a control person to track.
In a preferred embodiment of the present invention, before the step S3 is executed, a model training process is further included:
the crew behavior model is obtained by taking a training image containing the illegal fishing behavior as input and taking a ship in the training image with the illegal fishing behavior as output training.
In a preferred embodiment of the present invention, before performing step S4, the method further includes acquiring position information of the ship;
in step S4, the predicted route of the ship in the predicted time period is obtained and output according to the position information and the sailing state.
In a preferred embodiment of the present invention, step S5 includes, according to the predicted route, arriving near the ship, scanning the river to identify the ship and obtain the corresponding position information, and transmitting the locator to the ship according to the position information for the management and control personnel to track.
Specifically, in the present embodiment, when the inspection device 1 reaches the predicted position according to the predicted route and the corresponding predicted time period, there is a case where there is a deviation between the predicted position and the actual position of the ship. At the moment, the inspection device 1 scans the river surface nearby, the ship is repositioned according to the image obtained by scanning to obtain corresponding position information, and then the positioner is transmitted to the ship, so that the success rate of accurately transmitting the positioner to the corresponding ship is improved.
In conclusion, the inspection device 1 is used for acquiring images of ships on the river surface in real time, and positioning the ships with illegal fishing behaviors according to the acquired images of the river surface for tracking and processing by management and control personnel, so that the management and control force and the management and control efficiency of the ships in the period of no fishing in the Yangtze river are improved. The inspection device 1 transmits the locator to the ship with illegal fishing, so that the possibility of being discovered by a crew on the ship is reduced, and the concealment is improved.
While the invention has been described with reference to a preferred embodiment, it will be understood by those skilled in the art that various changes in form and detail may be made therein without departing from the spirit and scope of the invention.
Claims (10)
1. The utility model provides a Yangtze river fish forbidden intelligence management and control system which characterized in that includes:
the system comprises a plurality of inspection devices, a plurality of image acquisition devices and a plurality of image acquisition devices, wherein the inspection devices are used for acquiring real-time images of a river according to a pre-configured inspection path to obtain and store corresponding river images;
the first processing module is respectively connected with each inspection device and used for performing feature extraction on the river image to obtain the river image containing at least one ship and outputting the river image as a processed image;
the second processing module is connected with the first processing module and used for processing the processed image and a pre-trained crew behavior model to obtain the ship with an illegal fishing behavior in the processed image;
the prediction module is connected with the second processing module and used for detecting the navigation state of the ship with the illegal fishing behavior and processing the navigation state to obtain a predicted course of the ship in a predicted time period;
the execution module is connected with the prediction module and used for driving the inspection device to arrive at the ship according to the predicted air route, the inspection device fixes a positioner onto the ship, and the positioner outputs a positioning signal in real time for a management and control person to track.
2. The intelligent control system for preventing Yangtze river fish according to claim 1, further comprising a training data module connected to the second processing module and used for storing a training image containing the illegal fishing behavior, wherein the crew behavior model is obtained by training with the training image as input and a ship in the training image with the illegal fishing behavior as output.
3. The intelligent control system for fishing prohibition in Yangtze river according to claim 1, wherein the inspection device is further configured to collect position information of the ship, and the prediction module is configured to process the position information and the sailing state to obtain the predicted course of the ship within the predicted time period and output the predicted course.
4. The intelligent control system for fishing prohibition in Yangtze river according to claim 1, further comprising a storage module connected to the first processing module and configured to store ship number information of a plurality of legal ships and corresponding ship feature information;
the first processing module is further configured to process the processed image to obtain actual ship feature information and/or corresponding actual ship number information corresponding to the ship, and match the actual ship feature information and the ship number information of all legal ships to obtain corresponding matching results, where the matching results indicate that the ship in the processed image does not conform to all legal ships, and generate and output an alarm signal indicating that an illegal ship exists, so that the alarm signal is provided for the control staff to check.
5. The intelligent control system for fishing prohibition in Yangtze river according to claim 3, wherein the inspection device arrives near the ship according to the predicted course, scans the river surface to identify the ship and obtain the corresponding position information, and transmits the positioner to the ship according to the position information for the control personnel to track.
6. The Yangtze river fishing prohibition intelligent management and control system according to claim 1, further comprising an alarm module, wherein the alarm module is used for obtaining citizen reporting information input from outside, screening the citizen reporting information to obtain the citizen reporting information including the illegal fishing behavior, and outputting the screened citizen reporting information to be tracked and processed by the management and control personnel.
7. An intelligent control method for fish prohibition in Yangtze river, which is applied to the intelligent control system for fish prohibition in Yangtze river according to any one of claims 1 to 6, and comprises the following steps:
step S1, real-time image acquisition is carried out on a river according to a pre-configured routing inspection path, and a corresponding river image is obtained and stored;
step S2, extracting the characteristics of the river image to obtain the river image containing at least one ship and outputting the river image as a processed image;
step S3, processing according to the processed image and a crew behavior model obtained by pre-training to obtain the ship with an illegal fishing behavior in the processed image;
step S4, detecting the navigation state of the ship with the illegal fishing behavior, and processing the navigation state to obtain a predicted course of the ship in a predicted time period;
and step S5, driving the inspection device to arrive at the ship according to the predicted route, fixing a positioner on the ship by the inspection device, and outputting a positioning signal by the positioner in real time for a control person to track.
8. The intelligent control method for fish prohibition in Yangtze river according to claim 7, before executing the step S3, further comprising a model training process:
the crew behavior model is obtained by taking a training image containing the illegal fishing behavior as input and taking a ship in the training image with the illegal fishing behavior as output training.
9. The intelligent control method for fishing prohibition in Yangtze river according to claim 7, wherein before executing the step S4, the method further comprises collecting position information of the ship;
in step S4, the predicted route of the ship in the predicted time period is obtained and output according to the position information and the sailing state.
10. The intelligent control method for fishing prohibition in Yangtze river according to claim 9, wherein the step S5 includes that the ship is identified and the corresponding position information is obtained by scanning the river surface according to the predicted course, and the locator is transmitted to the ship according to the position information for the control personnel to track.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106816038A (en) * | 2017-03-17 | 2017-06-09 | 武汉理工大学 | A kind of inland waters abnormal behaviour ship automatic identification system and method |
| CN111582182A (en) * | 2020-05-11 | 2020-08-25 | 广州创亿源智能科技有限公司 | Ship name identification method, system, computer equipment and storage medium |
| CN111739345A (en) * | 2020-07-21 | 2020-10-02 | 范文峰 | AIS-based intelligent water monitoring and management method and system |
| CN111986224A (en) * | 2020-08-05 | 2020-11-24 | 七海行(深圳)科技有限公司 | Target behavior prediction tracking method and device |
| CN111985363A (en) * | 2020-08-06 | 2020-11-24 | 武汉理工大学 | Ship name recognition system and method based on deep learning framework |
| CN112085286A (en) * | 2020-09-15 | 2020-12-15 | 周远鹏 | Ship behavior prediction model establishing method and ship behavior prediction model |
| CN112819068A (en) * | 2021-01-29 | 2021-05-18 | 南京长江油运有限公司 | Deep learning-based real-time detection method for ship operation violation behaviors |
-
2021
- 2021-12-09 CN CN202111501911.9A patent/CN114202581A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106816038A (en) * | 2017-03-17 | 2017-06-09 | 武汉理工大学 | A kind of inland waters abnormal behaviour ship automatic identification system and method |
| CN111582182A (en) * | 2020-05-11 | 2020-08-25 | 广州创亿源智能科技有限公司 | Ship name identification method, system, computer equipment and storage medium |
| CN111739345A (en) * | 2020-07-21 | 2020-10-02 | 范文峰 | AIS-based intelligent water monitoring and management method and system |
| CN111986224A (en) * | 2020-08-05 | 2020-11-24 | 七海行(深圳)科技有限公司 | Target behavior prediction tracking method and device |
| CN111985363A (en) * | 2020-08-06 | 2020-11-24 | 武汉理工大学 | Ship name recognition system and method based on deep learning framework |
| CN112085286A (en) * | 2020-09-15 | 2020-12-15 | 周远鹏 | Ship behavior prediction model establishing method and ship behavior prediction model |
| CN112819068A (en) * | 2021-01-29 | 2021-05-18 | 南京长江油运有限公司 | Deep learning-based real-time detection method for ship operation violation behaviors |
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