A method for automatic identification and detection route planning of fishing locations in high seas fishing grounds based on ships of interest and operation types

Abstract

The present invention discloses a short-term prediction method for fishing grounds based on the spatial movement characteristics of ship positions, comprising the following steps: according to any high seas fishing vessel and operation type, respectively establish an automatic identification parameter system based on the operation position of the fishing vessel; the identification parameter systems of different high seas fishing grounds are not the same; the high seas fishing grounds are divided into 9 major categories of fishing grounds; according to the 100 nautical miles around a single concerned ship, the computer or expert automatically identifies the location of a suitable fishing ground, and marks the path distance between each suitable fishing ground and the concerned ship; the concerned ship plans the detection route according to the location of the suitable fishing ground, first goes to suitable fishing ground 1, and then goes to suitable fishing ground 2 for detection. The present invention uses the operation type of the concerned ship to establish the identification and prediction index parameters of the high seas fishing ground at multiple levels and angles, which is helpful to truly solve the problem of finding fish; it realizes efficient and orderly fishing ground detection and route planning, plays a role in efficient production, and reduces the time and fuel cost of blind detection.

Description

Technical Field

[0001] The present invention belongs to the technical field of automatic prediction of marine fishery fishing grounds, and in particular relates to a method for automatic identification of fishing positions in high seas fishing grounds and detection route planning based on ships of interest and operation types. Background Art

[0002] In the field of automatic identification of fishing grounds, most of the fishing grounds are predicted by establishing a fishing ground prediction model based on marine environmental characteristics and historical fishing log data. The determination of the fishing location of such fishing grounds often presents a range of tens to hundreds of nautical miles. The area is too large to accurately identify the fishing grounds, and the practical guidance significance for production ships is relatively small, which is difficult to meet the current needs of rapid identification of fishing grounds and fishery information construction. Due to the diversity of high seas fisheries, the operating vessels and operating methods are also very different. Different fishing ground prediction methods are often very different, and the indicator system of fishing ground prediction is also different. Therefore, how to automatically identify the surrounding fishing ground environment according to the actual operation type of the current ship and establish an autonomous fishing ground identification and fishing detection route planning method is one of the emerging research directions in this field.

[0003] Due to the lack of data on high seas fishing grounds, it is difficult to identify fishing grounds. There is a lack of sufficient information on the relevant fine and accurate fishing ground prediction index system and method, and there is no relevant report on the automatic identification of fishing grounds by computers. In most cases, fishermen have no information to check for fishing ground predictions and detection route planning, and it is difficult to grasp the laws of fishing ground formation and the internal mechanisms behind them. The present invention focuses on the operation type of fishing vessels, adopts the necessary fishing ground prediction method indicators to establish a computer-aided identification of fishing ground locations and detection route methods, which helps to conveniently and efficiently solve the problem of difficult identification of high seas fishing grounds. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a method for automatic identification of fishing positions and detection route planning in high seas fishing grounds based on the type of vessels of interest and operations, which can summarize and conclude the real-time positions of fishing vessels and automatically analyze the locations of fishing grounds by computers and establish a parameter system, thus laying the foundation for instant prediction of central fishing grounds.

[0005] The technical solution adopted by the present invention to solve its technical problem is:

[0006] A method for automatic identification and detection route planning of fishing locations in high seas fishing grounds based on the type of vessels and operations,

[0007] The following steps are involved:

[0008] (a) According to any high seas fishing vessel and operation type, an automatic identification parameter system based on the operation position of the fishing vessel is established; the identification parameter systems for different high seas fishing grounds are different (see Figure 1 );

[0009] (b) The high seas fishing grounds are divided into 9 fishing grounds; the squid fishing ground identification parameters are the edge of the 50 or 100-meter isotherm dense area or the surrounding of the cold eddy; the North Pacific purse seine fishing ground identification parameters are the 25 or 50-meter water layer isotherm dense area or the surrounding of the cold eddy (mackerel), the 25 or 50-meter water layer isotherm dense area and the medium-intensity ocean current distribution area (sardine); the Indian Ocean purse seine fishing ground identification parameters are the 50 or 100-meter water layer isotherm dense area or the cold eddy (squid), the 50 or 100-meter water layer isotherm dense area and the medium-intensity ocean current distribution area (scombroid fish);

[0010] (c) The identification parameters of the saury fishing ground are the dense isotherm area of ​​the 50-meter water layer or the cold vortex and the area with low ocean current velocity; the surface temperature range of the fishing ground is 8-10°C from May to August, and the surface temperature range from November to December is 11-15°C; the position tracking and trajectory analysis of the concerned ship is helpful to further narrow the scope of the fishing ground;

[0011] (d) The identification parameters of tuna fishing grounds are the dense isotherm area or warm eddy in the 100-meter water layer (yellowfin or albacore tuna); the 60-nautical-mile area around the eddy in the 200- or 300-meter water layer (bigeye tuna);

[0012] (e) The identification parameters of the tuna purse seine fishing ground are the medium current velocity zone (0.3-0.8 m / s) in the 100-meter water layer 60 nautical miles away from the warm vortex; the yield is better when the water temperature at 100 meters is 28.5-29.2°C;

[0013] (f) The Atlantic trawling fishing ground identification parameters are as follows: the approximate fishing ground range is determined based on the flow direction from inside to outside the Argentine EEZ line, and the central fishing ground location is determined based on the dense area or tongue-shaped area of ​​the 50-meter water layer isotherm;

[0014] (g) The Antarctic krill trawling fishing ground identification parameters are to detect the fishing grounds according to the three island shelf slopes of FAO 48.1\48.2\48.3 sub-areas, with a surface temperature range of -1.5 to 1.5°C; the ocean current is in a turning zone with a low flow rate of 0.2 to 0.4 m / s; the ship position tracking and status analysis are very useful for fishing ground identification;

[0015] (h) Computer automatically identifies the location of suitable fishing grounds within 100 nautical miles around a single ship of interest, and marks the path distance between each suitable fishing ground and the ship of interest; the ship of interest is closest to suitable fishing ground 1, which is the best fishing ground; there are generally three suitable fishing grounds (see Figure 2 );

[0016] (i) The ship of interest plans a detection route based on the location of the suitable fishing ground, first going to suitable fishing ground 1, then to suitable fishing ground 2 for detection; if no fish is detected, it will go to suitable fishing ground 3 (see Figure 2 );

[0017] (j) The fishing ground can also be identified based on the position changes of multiple ships of interest in any fishing ground, which can be divided into two methods: the first method is that when the positions of multiple ships of interest today have not changed significantly compared with yesterday's positions, it can be determined that this place is a fishing ground; the second method is that when the positions of multiple ships of interest today have all changed compared with yesterday's positions, and today's positions are also the sea conditions that meet the identification parameters of high seas fishing grounds, it can be determined that this place is a fishing ground (see Figure 3 );

[0018] (k) Through the above-mentioned automatic identification of fishing ground locations and planning and design of detection routes, accurate identification of fishing ground locations can be achieved, the prediction accuracy can be improved by more than 15%, and the blind detection time of fishing vessels can be shortened by more than 10%;

[0019] As a preferred embodiment, the coverage rate of the high seas fishing grounds in step (a) can reach 90%; the fishing ground prediction index mainly refers to the water temperature intensive area or the water temperature line turning area, and the ocean current has vortex or turning area;

[0020] As a preferred embodiment, in said step (b), the identification parameters of the North Pacific squid fishing, North Pacific purse seine and Indian Ocean purse seine fishing grounds are not based on the surface water temperature and ocean currents;

[0021] As a preferred embodiment, the identification parameters of the saury fishing ground in step (c) may refer to the surface water temperature or ocean current, or the water temperature or ocean current of the 25-meter water layer;

[0022] As a preferred embodiment, in the step (d), the tuna fishing ground identification parameter is preferably the vortex periphery, followed by the 100-meter water layer isotherm dense area;

[0023] As a preferred embodiment, the tuna purse seine fishing ground identification parameters in step (e) do not use surface water temperature and ocean current;

[0024] As a preferred embodiment, the Atlantic trawling fishing ground identification parameters in step (f) are mainly to forecast the north-south fishing ground along the exclusive economic zone line of Argentina, and the fishing ground will swing north-south every 2 to 3 days;

[0025] As a preferred embodiment, the Antarctic krill trawling fishing ground identification parameters in step (g) have very little short-term variation, and mainly vary from month to month.

[0026] As a preferred embodiment, in steps (h) and (i), a computer is first established to automatically identify the location of fishing grounds based on the operation type of the ship of interest and the fishing ground identification parameters, preferably 1 to 3 fishing grounds; and the most suitable fishing ground is selected for primary detection based on the closest distance.

[0027] As a preferred embodiment, in step (j), the location of the fishing ground can be determined based on the position changes and trajectory analysis of multiple ships of interest. If the positions of multiple ships of interest are concentrated and the sea conditions there are suitable for the formation of a fishing ground, the accuracy rate can reach more than 90%; preferably, the number of ships of interest in each fishing ground is 50 to 100.

[0028] Due to the adoption of the above technical solution, the present invention has the following advantages and positive effects compared with the prior art:

[0029] 1. Using the operation type of the concerned ship to establish the identification and prediction index parameters of the high seas fishing grounds at multiple levels and angles will help to truly solve the problem of finding fish;

[0030] 2. By focusing on the location of fishing grounds within 100 nautical miles around the ship, the appropriate fishing grounds are selected for detection, so as to achieve efficient and orderly fishing ground detection and route planning, play a role in efficient production, and reduce the time and fuel costs of blind detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a schematic diagram of reference indicators for judging the operation type and fishing ground of a single concerned ship according to the present invention.

[0032] Figure 2 It is a schematic diagram of the process flow of automatic identification of fishing grounds and planning of fishing routes based on a single ship of interest according to the present invention.

[0033] Figure 3 It is a schematic diagram of the fishing ground judgment process of the position changes of multiple ships of interest in any fishing ground of the present invention. DETAILED DESCRIPTION

[0034] The following is a detailed description of an embodiment of the present invention in conjunction with the accompanying drawings: This embodiment is implemented on the premise of the technical solution of the present invention, and a detailed implementation method and a specific operation process are given, but the protection scope of the present invention is not limited to the following embodiments.

[0035] A method for automatically identifying fishing positions in high seas fishing grounds and detecting route planning based on the type of vessels of interest and operation, comprising the following steps:

[0036] (a) According to any high seas fishing vessel and operation type, an automatic identification parameter system based on the operation position of the fishing vessel is established; the identification parameter systems for different high seas fishing grounds are different (see Figure 1 );

[0037] (b) The high seas fishing grounds are divided into 9 fishing grounds; the squid fishing ground identification parameters are the edge of the 50 or 100-meter isotherm dense area or the surrounding of the cold eddy; the North Pacific purse seine fishing ground identification parameters are the 25 or 50-meter water layer isotherm dense area or the surrounding of the cold eddy (mackerel), the 25 or 50-meter water layer isotherm dense area and the medium-intensity ocean current distribution area (sardine); the Indian Ocean purse seine fishing ground identification parameters are the 50 or 100-meter water layer isotherm dense area or the cold eddy (squid), the 50 or 100-meter water layer isotherm dense area and the medium-intensity ocean current distribution area (scombroid fish);

[0038] (c) The identification parameters of the saury fishing ground are the dense isotherm area of ​​the 50-meter water layer or the cold vortex and the area with low ocean current velocity; the surface temperature range of the fishing ground is 8-10°C from May to August, and the surface temperature range from November to December is 11-15°C; the position tracking and trajectory analysis of the concerned ship is helpful to further narrow the scope of the fishing ground;

[0039] (d) The identification parameters of tuna fishing grounds are the dense isotherm area or warm eddy in the 100-meter water layer (yellowfin or albacore tuna); the 60-nautical-mile area around the eddy in the 200- or 300-meter water layer (bigeye tuna);

[0040] (e) The identification parameters of the tuna purse seine fishing ground are the medium current velocity zone (0.3-0.8 m / s) in the 100-meter water layer 60 nautical miles away from the warm vortex; the yield is better when the water temperature at 100 meters is 28.5-29.2°C;

[0041] (f) The Atlantic trawling fishing ground identification parameters are as follows: the approximate fishing ground range is determined based on the flow direction from inside to outside the Argentine EEZ line, and the central fishing ground location is determined based on the dense area or tongue-shaped area of ​​the 50-meter water layer isotherm;

[0042] (g) The Antarctic krill trawling fishing ground identification parameters are to detect the fishing grounds according to the three island shelf slopes of FAO 48.1\48.2\48.3 sub-areas, with a surface temperature range of -1.5 to 1.5°C; the ocean current is in a turning zone with a low flow rate of 0.2 to 0.4 m / s; the ship position tracking and status analysis are very useful for fishing ground identification;

[0043] (h) Computer automatically identifies the location of suitable fishing grounds within 100 nautical miles around a single ship of interest, and marks the path distance between each suitable fishing ground and the ship of interest; the ship of interest is closest to suitable fishing ground 1, which is the best fishing ground; there are generally three suitable fishing grounds (see Figure 2 );

[0044] (i) The ship of interest plans a detection route based on the location of the suitable fishing ground, first going to suitable fishing ground 1, then to suitable fishing ground 2 for detection; if no fish is detected, it will go to suitable fishing ground 3 (see Figure 2 );

[0045] (j) The fishing ground can also be identified based on the position changes of multiple ships of interest in any fishing ground, which can be divided into two methods: the first method is that when the positions of multiple ships of interest today have not changed significantly compared with yesterday's positions, it can be determined that this place is a fishing ground; the second method is that when the positions of multiple ships of interest today have all changed compared with yesterday's positions, and today's positions are also the sea conditions that meet the identification parameters of high seas fishing grounds, it can be determined that this place is a fishing ground (see Figure 3 );

[0046] (k) Through the above-mentioned automatic identification of fishing ground locations and planning and design of detection routes, accurate identification of fishing ground locations can be achieved, the prediction accuracy can be improved by more than 15%, and the blind detection time of fishing vessels can be shortened by more than 10%.

[0047] Example:

[0048] In actual fishery production, production vessels usually inquire about the production information of familiar surrounding fishing vessels, but it is rare for captains to judge the fishing vessels themselves based on the ocean environment, especially the water temperature map. In high seas fishing grounds, due to the limitation of satellite network bandwidth, many fishing vessels cannot access the Internet to query the sea conditions of fishing grounds like on land. Therefore, fishery management personnel can select suitable fishing grounds and distribute them to the captain every day according to the automatic identification and detection route planning method based on the operating position of the concerned ship of the present invention. The specific steps are as follows:

[0049] First, we query the visual information layers of water temperature, ocean currents, ship positions, seabed depth, etc. of the high seas fishing ground information platform every day, identify the fishing ground parameters for each operation type of the concerned ship, and select the appropriate fishing ground location; see Figure 1 .

[0050] Secondly, when it is found that the concerned ship is in a suitable fishing ground and the ship position has not changed significantly between yesterday and today, it can be considered that this is a suitable fishing ground and the fishing boat does not need to change the fishing ground; if the concerned ship had a poor yield yesterday and the positions of other concerned ships have not changed, it can be transferred to the positions of other concerned ships; if other concerned ships have also moved to a suitable fishing ground, it can be judged that this is a new fishing ground and the ship can transfer the fishing ground; see the specific operation process. Figure 2 and Figure 3 .

[0051] Finally, enterprise managers or captains equipped with a ship-side fishing ground prediction system platform can inform fishing boats of the fishing ground location predicted by the present invention, and plan the fishing ground transfer distance and the next fishing arrangement, so as to reasonably and effectively realize the accurate prediction of fishing grounds, so as to increase the fishing output and production profit. The present invention is applicable to the prediction and fish exploration route planning of multiple fishing grounds, has high universality, and has been applied in the actual fishery production of multiple fishing grounds such as Atlantic trawl, saury side net, North Pacific purse seine and tuna fishing, and has high reliability and recognition.

[0052] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A method for automatically identifying fishing locations and detecting routes in high seas fishing grounds based on the type of vessels and operations, characterized in that: The following steps are involved: (a) establishing, for each high seas fishing vessel and type of operation, a parameter system for automatic identification of the operating position of the fishing vessel; the identification parameter systems for different high seas fishing grounds are different; (b) The high seas fishing grounds are divided into 9 fishing grounds; the identification parameters for squid fishing in the North Pacific are the dense isotherms of 12 to 15 degrees or cold vortices in the 50 or 100-meter water layer, and the identification parameters for squid fishing in the East Pacific are the dense isotherms of 15 degrees or cold vortices in the 100-meter water layer; the identification parameters for purse seine fishing grounds in the North Pacific are the dense isotherms of 25 or 50-meter water layer or cold vortices; the identification parameters for purse seine fishing grounds in the Indian Ocean are the dense isotherms of 50 or 100-meter water layer or cold vortices; (c) The identification parameters of the saury side-net fishing ground are the dense isotherm area or cold vortex in the 50-meter water layer; the surface temperature range of the saury side-net fishing ground is 8-10°C from May to August, and the surface temperature range from November to December is 11-15°C; (d) The identification parameters of tuna fishing grounds are the dense isotherm area or warm eddy in the 100-meter water layer; (e) The identification parameter of tuna purse seine fishing ground is the medium velocity zone of ocean current in the 100-meter water layer 60 nautical miles away from the warm eddy, where the velocity in the medium zone is 0.3-0.8 m / s; (f) The Atlantic trawl fishing ground identification parameters are as follows: the fishing ground range is determined by the flow direction from inside to outside the Argentine EEZ line, and the central fishing ground location is determined by the dense area or tongue-shaped area of ​​the 50-meter water layer isotherm; (g) The identification parameters of Antarctic krill trawling fishing grounds are to detect the fishing grounds on the three island shelf slopes of FAO 48.1, 48.2 or 48.3 sub-areas, with a surface temperature range of -1.5~1.5℃; the ocean current is in the turning zone with a low flow rate of 0.2~0.4m / s; (h) Automatically identify the location of suitable fishing grounds based on the 100 nautical miles around a single ship of interest, and mark the path distance between each suitable fishing ground and the ship of interest; the ship of interest is closest to suitable fishing ground 1, which is the best fishing ground; there are three suitable fishing grounds; (i) The ship of interest plans a detection route based on the location of the suitable fishing ground, first going to suitable fishing ground 1, then to suitable fishing ground 2 for detection; if no fish are detected, it goes to suitable fishing ground 3; (j) Fishing grounds can also be identified based on the position changes of multiple ships of interest in any fishing ground, which can be divided into two methods: Method 1 is when the positions of multiple ships of interest today have not changed significantly compared with yesterday's positions, it can be determined that this is a fishing ground; Method 2 is when the positions of multiple ships of interest today have shifted compared with yesterday's positions, and today's positions are also the sea conditions that meet the identification parameters of high seas fishing grounds, it can be determined that this is a fishing ground; (k) Through the above-mentioned automatic identification of the fishing ground location and the planning and design of the detection route, the accurate identification of the fishing ground location can be achieved.

2. According to claim 1, a method for automatically identifying fishing locations and detecting routes in high seas fishing grounds based on ships of interest and operation types, characterized in that: The coverage rate of high seas fishing grounds in step (a) can reach 90%; the fishing ground prediction index mainly refers to water temperature intensive areas or water temperature line turning areas, and ocean currents with vortices or turning areas.

3. The method for automatically identifying fishing positions and detecting routes in high seas fishing grounds based on the type of vessels of interest and operation according to claim 1 is characterized in that: In the step (b), the identification parameters of the North Pacific squid jigging, the East Pacific squid jigging, the North Pacific purse seine and the Indian Ocean purse seine fishing grounds are not based on the surface water temperature and the ocean current.

4. The method for automatically identifying fishing locations and detecting routes in high seas fishing grounds based on the type of vessels of interest and operation according to claim 1 is characterized in that: In the step (c), the identification parameters of the saury fishing ground can refer to the surface water temperature or ocean current, and can also refer to the water temperature or ocean current of the 25-meter water layer.

5. The method for automatically identifying fishing locations and detecting routes in high seas fishing grounds based on the type of vessels of interest and operation according to claim 1, characterized in that: In the step (d), the tuna fishing ground identification parameter is preferably the 100-meter water layer ocean current area 60 nautical miles away from the center of the warm vortex, followed by the 100-meter water layer isotherm dense area.

6. The method for automatically identifying fishing locations and detecting routes in high seas fishing grounds based on the type of vessels of interest and operation according to claim 1, characterized in that: The tuna purse seine fishing ground identification parameters in step (e) do not use surface water temperature and ocean currents.

7. The method for automatically identifying fishing locations and detecting routes in high seas fishing grounds based on the type of vessels of interest and operation according to claim 1, characterized in that: The Atlantic trawling fishing ground identification parameters in step (f) are mainly used to forecast the north-south fishing grounds along the exclusive economic zone line of Argentina, and the fishing grounds will swing north-south every 2 to 3 days.

8. The method for automatically identifying fishing locations and detecting routes in high seas fishing grounds based on the type of vessels of interest and operation according to claim 1, characterized in that: The Antarctic krill trawl fishing ground identification parameters in step (g) have little short-term variation, and mainly vary from month to month.

9. The method of automatic identification and detection route planning of fishing locations in high seas fishing grounds based on ships of interest and operation types according to claim 1, characterized in that: In the steps (h) and (i), a computer is firstly established to automatically identify the location of fishing grounds based on the operation type of the vessel of interest and the fishing ground identification parameters, and 1, 2 or 3 fishing grounds are selected; and the most suitable fishing ground is selected for the first detection according to the shortest distance.

10. The method for automatically identifying fishing positions and detecting routes in high seas fishing grounds based on ships of interest and operation types according to claim 1, characterized in that: In step (j), the location of the fishing ground can be determined based on the position changes and trajectory analysis of multiple ships of interest. If the positions of multiple ships of interest are clustered and the sea conditions are suitable for the formation of a fishing ground, the accuracy rate can reach more than 90%. There are 50 to 100 ships of interest in each fishing ground.

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