Method for identifying state of tuna seine artificial fish gathering device

Abstract

The invention provides a tuna seine artificial fish gathering device state identification method comprising the following steps: exporting FAD original data from a buoy management system platform, and cleaning and preprocessing the collected original data; performing FAD preliminary state judgment according to the collected data; carrying out FAD drift state analysis; carrying out FAD spatial position analysis; and outputting an FAD comprehensive state judgment result. By processing and analyzing the positioning buoy data paired by the FAD, the working state of the FAD can be automatically judged in real time, multiple states of the FAD can be accurately recognized, and therefore a more intelligent and accurate solution is provided for state monitoring and ecological protection in the fishery production process.

Description

Technical Field

[0001] The present invention relates to the technical field of fishery equipment and intelligent monitoring, and specifically, to a method for identifying the state of an artificial fish aggregating device for tuna purse seine fishing. Background Art

[0002] Since the mid-19th century, the wide application of artificial fish aggregating devices (FADs) has brought great convenience to tuna purse seine fishing operations, enabling fishermen to locate the aggregation areas of fish schools within a short time, thereby improving fishing efficiency and catch. Currently, the fishing method assisted by FADs has become the mainstream of the tuna purse seine fishery and contributed more than 50% to the total global tropical tuna catch. Although the large-scale deployment of FADs (about 80,000 - 100,000 are deployed annually) has significantly promoted the growth of tropical tuna production and effectively reduced the fuel cost and "carbon footprint" of tuna purse seine fishing, the resulting marine ecological problems (such as disturbing marine habitats, generating microplastics, and destroying coastal biological habitats) have attracted extensive attention from the international community in recent decades.

[0003] Since the artificial fish aggregating device FAD is a floating device without the ability of autonomous movement, it drifts in an unfixed direction under the action of wind, waves, and currents after being deployed. Therefore, mastering the working state of FADs is of great significance for formulating access, maintenance, recovery, and fishing plans, which helps to avoid the negative ecological effects that FADs may cause, thereby promoting the sustainable development of the tuna fishery. Currently, the state monitoring means of FADs mainly rely on the positioning buoy information paired with them. Based on the positioning data of the buoy management system platform, the working state and historical data of FADs can be understood in real time.

[0004] However, the existing methods for monitoring the state of FADs have problems such as limited monitoring range, information delay, or misjudgment. In addition, the buoy management system platform usually can only provide basic positioning information and is difficult to accurately identify various complex states of FADs, such as whether FADs sink, are stolen, drift out of the fishing ground, or enter the ecological protection area, etc. Therefore, there is an urgent need for a new technical method to automatically and accurately identify the working state of FADs by comprehensively analyzing the positioning buoy data of FADs and combining an intelligent discrimination model, so as to provide more efficient and real-time decision-making support for fishery management, operation scheduling, and ecological protection. Summary of the Invention

[0005] To address the deficiencies of the existing technology, the objective of the present invention is to provide a method for identifying the status of an artificial fish aggregating device (FAD) for tuna purse seine fishing. By processing, analyzing, and discriminating the data of the positioning buoy paired with the FAD, the present invention can automatically and real-time determine the working status of the FAD, achieve precise identification of various states of the FAD, and thus provide a more intelligent and precise solution for status monitoring and ecological protection in the fishing production process.

[0006] To solve the above problems, the technical solution of the present invention is as follows:

[0007] A method for identifying the status of an artificial fish aggregating device (FAD) for tuna purse seine fishing, comprising the following steps:

[0008] Export the FAD raw data from the buoy management system platform, and clean and preprocess the collected raw data;

[0009] Conduct a preliminary status judgment of the FAD based on the collected data;

[0010] Conduct an analysis of the drifting status of the FAD;

[0011] Conduct an analysis of the spatial position of the FAD;

[0012] Output the comprehensive status judgment result of the FAD.

[0013] Preferably, the step of exporting the FAD raw data from the buoy management system platform and cleaning and preprocessing the collected raw data specifically includes: exporting the FAD raw data of the artificial fish aggregating device from the buoy management system platform, removing the rows where missing values are located, extracting the buoy name, recording time, latitude, longitude, and speed data in the data list, dividing the raw data into data subsets based on the buoy name, removing duplicate data segments based on the recording time data, and only retaining the data reported once every 24 hours.

[0014] Preferably, the step of conducting a preliminary status judgment of the FAD based on the collected data specifically includes: making a preliminary judgment on the FAD status according to the data in the FAD speed column. When the speed is greater than 3 kn, the drifting speed of the FAD is higher than the surface ocean current speed of the tropical tuna fishing ground, indicating that the FAD is on board the ship at this time. Then, further check the communication status of the corresponding buoy in the buoy management system platform. If the communication status is good, it indicates that the FAD status is "recovered by a friendly ship" or "awaiting deployment"; if the communication status is interrupted, it indicates that the FAD status is "stolen by another ship" at this time. When the speed is less than or equal to 3 kn, it indicates that the FAD may be in a drifting state, and the FAD status needs to be further judged according to the number of days of continuous reporting time.

[0015] Preferably, the step of analyzing the drifting state of the FAD specifically includes: when the number of consecutive position reports is less than 6 days, the FAD may still be on the ship; when the number of consecutive position reports is greater than or equal to 6 days, it indicates that the FAD may be in a drifting state, and the state of the FAD needs to be further judged according to the average drifting speed. If the average drifting speed is greater than 3 kn, it indicates that the FAD may still be on the ship; if the average drifting speed is less than or equal to 3 kn, it indicates that the FAD may be in a drifting state, and the state of the FAD needs to be further judged according to the drifting displacement distance of the FAD.

[0016] Preferably, the step of analyzing the drifting state of the FAD specifically further includes: if the drifting displacement is less than 200 m and the communication of the buoy is interrupted, it indicates that the state of the FAD is "sunk"; if the drifting displacement is less than 200 m and the communication of the buoy is good, it is necessary to further judge the spatial position of the FAD. When the spatial position is more than 10 km away from the coast or the 100 m isobath, it indicates that the state of the FAD is "about to sink"; when the spatial position is less than or equal to 10 km away from the coast or the 100 m isobath, it indicates that the state of the FAD is "stranded"; if the drifting displacement is greater than or equal to 200 m, it indicates that the FAD may be in a drifting state, and the state of the FAD needs to be further judged according to the spatial position of the FAD in combination with port data around the world.

[0017] Preferably, the step of analyzing the spatial position of the FAD specifically includes: calculating the distance between the spatial position of the FAD and the positions of ports around the world based on the FAD latitude and longitude column data. If the spatial position is less than 10 km away from the port, it indicates that the state of the FAD is "stranded"; if the spatial position is greater than or equal to 10 km away from the port, it indicates that the FAD may be in a drifting state, and the state of the FAD needs to be further judged according to the spatial position of the FAD in combination with the fishing ground range data. If the spatial position of the FAD is within the fishing ground range, it indicates that the state of the FAD is "normal drifting", otherwise the state of the FAD is "drifted out of the fishing ground".

[0018] Preferably, the step of outputting the comprehensive state judgment result of the FAD specifically includes: automatically outputting the FAD state recognition result according to the summarized FAD speed, drift distance, communication status and spatial position data in combination with the judgment rules.

[0019] Compared with the prior art, the present invention has the following beneficial effects:

[0020] 1. Accurately identify multiple states of the FAD: By comprehensively analyzing the speed, drift trajectory and spatial position information of the positioning buoy, the present invention can accurately identify the complex states of the FAD, such as special situations like "sunk", "stranded", "entering the ecological protection area", "stolen", etc. Compared with the traditional method relying on manual judgment, the present invention realizes intelligent and automatic state discrimination, effectively improving the accuracy of judgment.

[0021] 2. Improve the efficiency of fishery management: The present invention can monitor the status changes of FADs in real time, providing decision-making support for fishery management and operation scheduling. For example, by accurately judging the "normal drifting" and "drifting out of the fishing ground" statuses, the operation arrangement of the fishing fleet can be optimized, reducing unnecessary fuel consumption.

[0022] 3. Reduce the negative impact on the marine ecosystem: The present invention can timely identify the "sinking" and "stranding" statuses, reducing the damage of FADs to coral reefs and coastal ecosystems; in addition, by monitoring the status of FADs that "drift out of the fishing area" or "enter the ecological reserve", it can provide early warnings for fishery managers, avoiding potential illegal operations and further promoting the sustainable development of fisheries.

[0023] 4. Significant economic benefits: According to the statistics of fishery operation data, due to the improved accuracy and real-time nature of FAD status identification, the direct economic losses caused by the loss or damage of FADs are reduced.

[0024] 5. Strong technical promotion: The status identification method proposed by the present invention does not require additional hardware devices, and only needs to upgrade the algorithm and integrate modules of the existing buoy data management system to achieve it. The technical promotion cost is low, and it is applicable to tuna purse seine fishing operations of various scales, with broad application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Other features, objectives, and advantages of the present invention will become more apparent by reading the detailed description of the non-limiting embodiments with reference to the following drawings:

[0026] Figure 1 is a flowchart of the status identification method for the tuna purse seine artificial fish aggregating device of the present invention;

[0027] Figure 2 is a schematic diagram of the status identification process for the tuna purse seine artificial fish aggregating device of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0028] The present invention will be described in detail below with reference to specific embodiments. The following embodiments will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those of ordinary skill in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0029] Specifically, the present invention provides a method for identifying the status of a tuna purse seine artificial fish aggregating device, as shown in Figure 1 and Figure 2 The method includes the following steps:

[0030] S1: Export FAD raw data from the buoy management system platform, and clean and preprocess the collected raw data;

[0031] Specifically, the original data of Fish Aggregation Devices (FAD) were exported from the buoy management system platform, the rows with missing values ​​were removed, and the data of "buoy name", "stored time", "latitude", "longitude" and "speed" in the data list were extracted. The original data was segmented into data subsets based on the "buoy name". The duplicate data segments were removed based on the "stored time" data, and only the data of "reporting once every 24 hours" was retained; standardized data input was provided for subsequent analysis, reducing the impact of data noise.

[0032] S2: Make a preliminary FAD status judgment based on the collected data;

[0033] Specifically, the FAD status is preliminarily judged based on the data in the FAD "Speed" column. When the Speed ​​is greater than 3kn, the drifting speed of the FAD is higher than the surface current speed of the tropical tuna fishing ground, indicating that the FAD is on board at this time. Then the communication status of the corresponding buoy in the buoy management system platform is further checked. If the communication status is good, it indicates that the FAD status is "recovered by a friendly ship" or "to be released". If the communication status is interrupted, it indicates that the FAD status is "stolen by another ship". When the Speed ​​is less than or equal to 3kn, it indicates that the FAD may be in a drifting state, and the FAD status needs to be further judged based on the number of consecutive "Stored Time" days.

[0034] S3: Perform FAD drift state analysis;

[0035] Specifically, when the number of consecutive days of reporting position is less than 6 days, the FAD may still be on board, and the FAD status should be further determined by referring to step S2. When the number of consecutive days of reporting position is greater than or equal to 6 days, it indicates that the FAD may be drifting, and the FAD status should be further determined based on the average drifting speed;

[0036] The "reporting time (StoredTime)" interval of the positioning buoy is 24 hours. During the reporting interval, it is possible that a ship visits the FAD for fishing operations, and then salvages and redeploys it. Therefore, it is necessary to calculate the average drift speed of the FAD for two consecutive days based on the data in the "Speed" column to further determine the FAD status. If the average drift speed is greater than 3 kn, it indicates that the FAD may still be on the ship, and refer to step S2 to further determine the FAD status. If the average drift speed is less than or equal to 3 kn, it indicates that the FAD may be in a drifting state, and it is necessary to further determine the FAD status based on the drift displacement distance of the FAD;

[0037] Calculate the drift displacement distance of the FAD for three consecutive days based on the data in the "Latitude" and "Longitude" columns to further determine the FAD status. If the drift displacement is less than 200 m and the communication of the buoy is interrupted, it indicates that the FAD status is "sunk"; if the drift displacement is less than 200 m and the communication of the buoy is good, it is necessary to further determine the spatial position of the FAD. When the spatial position is more than 10 km away from the coast or the 100 m isobath, it indicates that the FAD status is "about to sink", and when the spatial position is less than or equal to 10 km away from the coast or the 100 m isobath, it indicates that the FAD status is "stranded". If the drift displacement is greater than or equal to 200 m, it indicates that the FAD may be in a drifting state, and it is necessary to further determine the FAD status based on the spatial position of the FAD combined with the port data around the world;

[0038] S4: Conduct FAD spatial position analysis;

[0039] Specifically, calculate the distance between the FAD spatial position and the positions of ports around the world based on the data in the "Latitude" and "Longitude" columns of the FAD. If the spatial position is less than 10 km away from the port, it indicates that the FAD status is "stranded". If the spatial position is greater than or equal to 10 km away from the port, it indicates that the FAD may be in a drifting state, and it is necessary to further determine the FAD status based on the spatial position of the FAD combined with the fishing ground range data;

[0040] Compare the FAD spatial position with the fishing ground range based on the data in the "Latitude" and "Longitude" columns of the FAD. If the FAD spatial position is within the fishing ground range, it indicates that the FAD status is "normal drifting", otherwise the FAD status is "drifted out of the fishing ground".

[0041] S5: Output the comprehensive status judgment result of the FAD.

[0042] Specifically, according to the summarized FAD speed, drift distance, communication status and spatial position data, combined with the above judgment rules, automatically output the FAD status recognition result.

[0043] The specific embodiments of the present invention have been described above. It should be understood that the present invention is not limited to the above specific embodiments, and those skilled in the art can make various changes or modifications within the scope of the claims, which do not affect the essence of the present invention. Without conflict, the embodiments of the present application and the features in the embodiments can be combined with each other arbitrarily.

Claims

1. A method for identifying the state of an artificial fish aggregating device for tuna purse seine, characterized in that: The method comprises the following steps: Export FAD raw data from the buoy management system platform, and clean and pre-process the collected raw data; Make a preliminary FAD status judgment based on the collected data; Conduct FAD drift status analysis; Conduct FAD spatial position analysis; Output the FAD comprehensive status judgment result.

2. The method for identifying the state of an artificial fish aggregating device for tuna purse seine according to claim 1, characterized in that: The steps of exporting the FAD raw data from the buoy management system platform and cleaning and preprocessing the collected raw data specifically include: exporting the FAD raw data of the artificial fish aggregating device from the buoy management system platform, removing the rows with missing values, extracting the buoy name, recording time, latitude, longitude and speed data in the data list, dividing the raw data into data subsets based on the buoy name, removing duplicate data segments based on the recording time data, and retaining only data that reports once every 24 hours.

3. The method for identifying the state of an artificial fish aggregating device for tuna purse seine according to claim 1, characterized in that: The step of making a preliminary judgment on the FAD status based on the collected data specifically includes: making a preliminary judgment on the FAD status based on the data in the FAD speed column; when the speed is greater than 3kn, the drifting speed of the FAD is higher than the surface current speed of the tropical tuna fishing ground, indicating that the FAD is on board at this time; and then further checking the communication status of the corresponding buoy in the buoy management system platform; if the communication status is good, it indicates that the FAD status is "recovered by a friendly ship" or "to be released"; if the communication status is interrupted, it indicates that the FAD status is "stolen by another ship"; when the speed is less than or equal to 3kn, it indicates that the FAD may be in a drifting state, and the FAD status needs to be further judged based on the number of days of continuous reporting time.

4. The method for identifying the state of an artificial fish aggregating device for tuna purse seine according to claim 3, characterized in that: The steps of analyzing the drifting status of the FAD specifically include: when the number of consecutive reporting days is less than 6 days, the FAD may still be on the ship; when the number of consecutive reporting days is greater than or equal to 6 days, it indicates that the FAD may be in a drifting state, and it is necessary to further judge the FAD state according to the average drifting speed. If the average drifting speed is greater than 3kn, it indicates that the FAD may still be on the ship; if the average drifting speed is less than or equal to 3kn, it indicates that the FAD may be in a drifting state, and it is necessary to further judge the FAD state according to the FAD drift displacement distance.

5. The method for identifying the state of an artificial fish aggregating device for tuna purse seine according to claim 4, characterized in that: The steps of analyzing the drifting status of FAD specifically include: if the drift displacement is less than 200m and the communication of the buoy is interrupted, it indicates that the FAD status is "sinking"; if the drift displacement is less than 200m and the communication of the buoy is good, it is necessary to further judge the spatial position of FAD. When the spatial position is greater than 10km from the coast or the 100m isobath, it indicates that the FAD status is "about to sink"; when the spatial position is less than or equal to 10km from the coast or the 100m isobath, it indicates that the FAD status is "stranded"; if the drift displacement is greater than or equal to 200m, it indicates that the FAD may be in a drifting state, and the FAD status needs to be further judged based on the spatial position of FAD combined with port data from all over the world.

6. The method for identifying the state of an artificial fish aggregating device for tuna purse seine according to claim 5, characterized in that: The steps of performing FAD spatial position analysis specifically include: calculating the distance between the FAD spatial position and the port positions around the world based on the FAD latitude and longitude column data; if the spatial position is less than 10 km from the port, it indicates that the FAD status is "stranded"; if the spatial position is greater than or equal to 10 km from the port, it indicates that the FAD may be in a drifting state, and the FAD status needs to be further judged based on the FAD spatial position combined with the fishing ground range data; if the FAD spatial position is within the fishing ground range, it indicates that the FAD status is "normal drifting", otherwise the FAD status is "drifting out of the fishing ground".

7. The method for identifying the state of an artificial fish aggregating device for tuna purse seine according to claim 1, characterized in that: The step of outputting the FAD comprehensive status judgment result specifically includes: automatically outputting the FAD status recognition result according to the summarized FAD speed, drift distance, communication status and spatial position data in combination with the judgment rules.

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