Method for predicting whole process of Antarctic krill fishery production position and planning short-term fishing path of fishing boat

Abstract

The invention discloses an euphausia superba fishery production position whole-process prediction and fishing boat short-term fishing path planning method, which comprises the following steps: (1) analyzing an optimal marine environment index range of a high-yield fishery on a weekly time scale by collecting and sorting historical euphausia superba fishery marine environment and fishing log databases; the method comprises the steps of (1) establishing a fishery forecasting model, and determining key environment indexes and fishery dynamic laws of fishery forecasting, (2) formulating a method for identifying and analyzing various elements of fishery production fishery forecasting in the whole process, (3) establishing a monthly distribution diagram of an operation fishery, a fishery short-term movement path planning decision and a fishery transfer decision mode of different subintervals. And a whole-process prediction decision mechanism process of the krill fishery is formed. Based on the innovative scheme, the whole-year and whole-fishing process of the krill ship and the transfer decision service and consultation of different subarea fishery can be guaranteed, and the international competitiveness level of krill fishery production in China is greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of comprehensive application of ocean numerical models, fishing logs and ship position big data, and in particular to a method for full-process prediction of Antarctic krill fishery production positions and short-term fishing route planning for fishing vessels. Background Art

[0002] Antarctic krill, as the animal group with the largest single species resource on the earth, has extremely high ecological value and fishery application value in the Southern Ocean ecosystem. It is a renewable animal protein bank and an important source of blue food and human nutrients in the ocean. Every year, 8 to 12 fishing vessels in the world fish in FAO 48 fishing area in the Ross Sea, with an annual output of about 200,000 to 450,000 tons. Its fishing grounds are subdivided into three small areas: 48.1, 48.2, and 48.3. Fishing boats are distributed in different sub-areas for fishing in different months. Since each krill boat sails to the fishing grounds in different months, it is necessary to prepare for navigation and select fishing grounds according to the different distribution of fishing grounds in previous years and months before sailing, and then further narrow the scope of the fishing grounds according to whether there are krill boats fishing at sea. When arriving at the fishing grounds, the location of the fishing grounds is further subdivided according to the marine environment, ship position and krill acoustic images, so as to achieve the purpose of precise shrimp fishing and efficient production.

[0003] Since April, late June to July, and August to September are the months of cross-regional fishing ground conversion for krill boats at different stages of voyages, it is necessary to comprehensively judge which sub-region is the appropriate krill fishing ground based on the sea ice coverage and suitable water temperature, which is of great reference value for accurate judgment of fishing grounds and production arrangements of voyages. However, in actual production and preparation for voyage, since the control degree of fishing grounds by personnel of various fishery companies or krill boat management centers is different, and the spatiotemporal scale of fishing ground forecast has a great influence on the forecast accuracy, the traditional model uses a monthly time scale and a spatial resolution of 1 degree longitude and latitude grid for fishing ground forecasting, which is difficult to meet the requirements of fine and accurate fishing ground prediction and actual production application, and there is no literature reporting on the application of multi-level krill fishing ground forecasting before, during, and after sailing. Therefore, there is no method or technical process for predicting the entire production location of Antarctic krill fisheries, nor is there a method or model for planning fishing movement routes for short-term (such as day and hour levels) fishing vessels. This has seriously hindered the efficient production of krill fisheries and increased production costs such as blind navigation detection time and fuel. It is necessary to accelerate technological innovation and model algorithm construction in this area. Summary of the invention

[0004] In order to overcome the above-mentioned deficiencies of the prior art, the present invention provides a method for full-process prediction of the production location of Antarctic krill fishery and short-term fishing route planning of fishing vessels.

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

[0006] A method for predicting the entire process of Antarctic krill fishery production location and planning the short-term fishing route of fishing vessels comprises the following steps:

[0007] (1) By collecting and organizing the historical marine environment and fishing log database of krill fisheries, analyzing the optimal marine environment index range of high-yield fisheries on a weekly time scale, and determining the key environmental indicators and fishery dynamics of fishery forecasts, developing identification and analysis methods for various elements of the whole process of fishery production and fishing ground forecasts, establishing monthly distribution maps of operating fisheries, planning decisions on short-term migration paths of fisheries, and decision-making models for fishery transfers between different sub-regions, and forming a decision-making mechanism for the whole process of krill fishery forecasts;

[0008] (2) Statistical methods were used to identify the marine environment and dynamic characteristics of the fishing grounds above the median krill production as the krill high-abundance sea areas. A suitable range and reference system table for refined prediction indicators of the krill central fishing grounds on a weekly time scale were established. Surface water temperature, surface temperature gradient, and ocean current velocity characteristics were identified as key environmental factors and specific ranges.

[0009] (3) Through analysis, it can be seen that krill fishing grounds are divided into three sub-areas, and the suitable fishing months and location characteristics of each sub-area are different ( Figure 2 ), but the distance from the island or coastal zone is 20 to 100 km;

[0010] (4) Constructing a fishery forecast model based on binary data of water temperature and ocean currents;

[0011] (5) Within the same sub-region, krill boats will transfer fishing grounds within the latitude and longitude grids. At this time, it is necessary to plan the short-term fishing routes of fishing boats. When the krill schools near the krill boats disappear, the fishing grounds can be quickly transferred according to the ocean currents and suitable sea area characteristics predicted for the next day in the adjacent latitude and longitude grids, so as to determine the location of suitable fishing grounds and the scope of catching sea areas in advance;

[0012] (6) Krill vessels plan the location of different sub-region fishing grounds according to the sailing month, and use the decision-making model of fishing ground transfer between different sub-regions as an auxiliary reference for the conversion of fishing grounds in different sub-regions to improve the efficiency of fishery production decision-making;

[0013] (7) Summarize the experience of fishing ground forecasting and adjust the forecast parameters after the end of the fishing season, as well as the production planning for the second year.

[0014] As a preferred embodiment, the whole process of fishery production in step (1), including before entering the fishing ground, fishing in the fishing ground within the sub-area, the decision on the transfer of fishing grounds between sub-areas, and after exiting the fishing ground, the short-term movement path planning decision of the fishing ground is calculated on a daily scale.

[0015] As a preferred embodiment, in step (2), the krill production is identified by statistical methods in tons / day / vessel, and the sea area above the median is the sea area with high krill abundance and is defined as the central fishing ground.

[0016] As a preferred embodiment, in step (2), the surface water temperature, surface temperature gradient and ocean current velocity characteristics are determined as key environmental factors and specific ranges. The water temperature and ocean current characteristics of the 50-meter water layer are similar to those of the surface layer and therefore are not required for reference. The variation patterns of dissolved oxygen and chlorophyll in the 50-meter water layer are difficult to identify and are not considered as key environmental factors.

[0017] As a preferred embodiment, in step (3), it can be seen through analysis that the krill fishery is divided into three sub-areas, namely, fishery 48.1, 48.2 and 48.3.

[0018] As a preferred embodiment, the step (4) constructs a fishing ground forecast model based on binary data of water temperature and ocean current, and specifically comprises the following steps:

[0019] (41) Select the most suitable surface temperature range according to the sea area corresponding to the sub-regional fishing ground in each month and week, and then narrow the scope of the fishing ground according to the longitude and latitude grid sea area of ​​the temperature gradient range. Then, the central fishing ground is selected in combination with the place where the ocean current turns at a large angle or where several ocean currents collide. At this time, the scope of the fishing ground can be narrowed to a few nautical miles or more than ten nautical miles. The ocean current index should not select surface ocean currents or deep ocean currents below 150 meters;

[0020] (42) The 50-meter ocean current vectors in the spatial grid of 2.5' latitude × 5' longitude are gridded, and each grid visualizes a velocity and direction vector V. The velocity and direction vector of the ocean current in a certain grid is recorded as V1. The velocity and direction vector of the ocean current in the adjacent grid is searched along the flow direction of V1 and recorded as V2. The velocity and direction vector of the ocean current in the adjacent grid is searched along the flow direction of V2 and recorded as V3. And so on. At least 4 and no more than 10 grids are searched for the flow direction difference H of the ocean current vector V. The flow direction difference range is 0 to 180 degrees. When the flow direction difference H of 4 to 10 consecutive flow direction vectors V1 to V10, V10 flow direction - V1 flow direction, is greater than 45 degrees in absolute value, the current field C of the sea area is determined. 拐弯度等级 A big turn occurred, marked as C 大拐弯 When the absolute value of the difference in velocity and direction H, V10 direction - V1 direction, is less than 15° for 4 to 10 consecutive times, the flow field C in the sea area is determined. 拐弯度等级 A slight turn occurs, which is marked as C 轻微拐弯 When the absolute value of the difference in velocity and direction H, V10 direction - V1 direction, for 4 to 10 consecutive times is greater than 15° and less than 45°, it is considered that the flow field in the sea area is C 拐弯度等级 A moderate turn occurs, which is marked as C 中度拐弯 ;

[0021] (43) The Antarctic krill fishery is preferably C 大拐弯 and C 中度拐弯 Sea area, not recommended C 轻微拐弯 The sea area is a fishing ground;

[0022] (44) The model structures of the fisheries in different sub-regions are similar, but the input parameters are slightly different, especially the sea surface temperature range, while parameters such as temperature gradient and current direction characteristics are basically the same.

[0023] As a preferred embodiment, in the step (41), the temperature gradient range is 0.1-0.3°C / 0.5° in the longitude and latitude grid sea area, the fishing ground range is narrowed to within 35 nautical miles, and combined with the ocean current direction of the 50-meter or 100-meter water layer, a large angle of 50-90° occurs.

[0024] As a preferred embodiment, the flow field turning level C in step (42) is 拐弯度等级 The index calculation formula is shown in formula (1):

[0025]

[0026] As a preferred embodiment, in step (5), within the 0.25 degree longitude and latitude grid in the same sub-region, the krill boat will transfer fishing grounds every 2 to 10 days, and the short-term fishing route planning of the fishing boat is calculated on a daily scale.

[0027] As a preferred embodiment, the step (5) performs rapid transfer of fishing grounds based on the ocean currents and suitable sea area characteristics predicted for the next day within the adjacent 0.25 degree longitude and latitude grid. At this time, the predicted distance of the fishing ground from the ship is generally within the range of 30-100 nautical miles, and the location of the fishing ground in 1 to 5 days can be predicted.

[0028] Beneficial effects:

[0029] The technical solution of the present invention fills the gap in the industry of lack of krill fishery forecast model and lack of full-process fishery forecast guidance, and has the following advantages and positive effects compared with the existing technology. The present invention analyzes the optimal marine environmental index range of high-yield fishery on a weekly time scale for the first time, and determines the key environmental indicators and fishery dynamic laws of fishery forecast, formulates the identification and analysis methods of various elements of fishery forecast for the whole process of fishery production (before entering the fishery, fishing in the fishery within the sub-region, decision-making on fishery transfer between sub-regions, and after exiting the fishery), and at the same time explains the decision-making model and strategy for fishery transfer between different sub-regions, improving the efficiency and competitiveness of fishery production. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a flow chart of the forecast decision-making mechanism for the entire process of krill fisheries.

[0031] Figure 2This is a schematic diagram of the monthly distribution area of ​​krill fishing grounds. The red boxes represent the locations of fishing grounds in each fishery sub-area.

[0032] Figure 3 This is a schematic diagram of the results of the binary forecast model for krill fisheries based on water temperature and ocean current turning level.

[0033] Figure 4 It is a schematic diagram of the comprehensive analysis and decision-making results of short-term (day-scale) fishing route planning in a fishery.

[0034] Figure 5 This is a schematic diagram of the decision-making model for fishery transfer between different sub-regions. DETAILED DESCRIPTION

[0035] 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.

[0036] Example:

[0037] The embodiment of the present invention relates to a method for predicting the entire process of Antarctic krill fishery production location and planning the short-term fishing route of fishing vessels, comprising the following steps:

[0038] (1) By collecting and organizing the marine environment and fishing log database of krill fisheries from 2010 to 2024, the optimal marine environmental index range of high-yield fisheries on a weekly time scale was analyzed, and the key environmental indicators and fishery dynamics of fishery forecasts were determined. Methods for identifying and analyzing various elements of fishery forecasts for the entire process of fishery production (before entering the fishery, fishing in the fishery within the sub-region, making decisions on the transfer of fishery between sub-regions, and after exiting the fishery) were developed. Figure 1 ), establish monthly distribution maps of operating fishing grounds, short-term (daily scale) movement path planning decisions of fishing grounds, and decision-making models for fishing ground transfers between different sub-regions, and form a full-process forecast decision-making mechanism process for krill fisheries.

[0039] (2) The marine environment and dynamic characteristics of the fishing grounds were identified by statistical methods. The waters above the median krill production (tons / day / vessel) of each month and week (generally 120 tons per day per vessel) were the krill high abundance sea areas (defined as the central fishing grounds). The table of suitable ranges and reference system of refined prediction indicators of the krill central fishing grounds on a weekly time scale was established (Table 1). As can be seen from Table 1, surface temperature and ocean currents are the most important marine environmental indicators for refined prediction of krill fishing grounds. The suitable ranges vary from month to week, while sea surface height, dissolved oxygen and chlorophyll concentration have no obvious reference effect on fishing ground prediction. Therefore, only water temperature and ocean currents are considered in the parameters of the binary prediction model of krill fishing grounds based on key environmental factors. In the surface temperature indicator, in addition to the suitable temperature range as a reference, the area with large temperature gradient is also an important parameter. Similarly, because the temporal and spatial variation characteristics of the water temperature in the 50-meter water layer are similar to those of the surface water temperature, and its temperature gradient distribution characteristics are also similar to those of the surface water temperature, the surface water temperature gradient can be used as one of the important parameters for predicting krill fisheries. The surface water temperature, surface temperature gradient and ocean current velocity characteristics are determined as key environmental factors and specific ranges, and the water temperature and ocean current characteristics of the 50-meter water layer are similar to those of the surface, so they can be ignored. Since the variation patterns of dissolved oxygen and chlorophyll in the 50-meter water layer are difficult to identify, they can also be ignored as key environmental factors.

[0040] (3) Analysis of historical fishery data shows that krill fishing grounds are divided into three sub-areas (48.1, 48.2 and 48.3), and the suitable fishing months and location characteristics of each sub-area are different ( Figure 2 ), but the distance from the islands or coastal areas is 20 to 100 km.

[0041] (4) Construct a fishery forecast model based on binary data of water temperature and ocean currents. The method is as follows:

[0042] (41) The most suitable surface temperature range is selected according to the sea area corresponding to the sub-regional fishing grounds in each month and week (Table 1), and then the fishing ground range is narrowed to within 35 nautical miles according to the temperature gradient range (0.1-0.3℃ / 0.5° latitude and longitude grid sea area). The central fishing ground is selected in combination with the 50-meter (or 100-meter) water layer where the current direction has a large angle (50-90°) turn or where several currents collide. At this time, the fishing ground range can be narrowed to a few nautical miles or more than ten nautical miles. The above current indicators do not recommend the selection of surface currents or currents deeper than 150 meters.

[0043] (42) The 50-meter ocean current vectors in the spatial grid of 2.5' latitude × 5' longitude are gridded, and a velocity and direction vector V is visualized in each grid. The velocity and direction vector of the ocean current in a certain grid is recorded as V1, and the velocity and direction vector of the ocean current in the adjacent grid is searched along the flow direction of V1 and recorded as V2. The velocity and direction vector of the ocean current in the adjacent grid is searched along the flow direction of V2 and recorded as V3. And so on, at least 4 and no more than 10 grids are searched for the flow direction difference H (the flow direction difference range is 0 to 180 degrees). When the absolute value of the flow direction difference H (V10 flow direction - V1 flow direction) of 4 to 10 consecutive flow direction vectors V1 to V10 is greater than 45°, the current field C of the sea area is determined. 拐弯度等级 A big turn (denoted as C 大拐弯 ). When the absolute value of the velocity and direction difference H (V10 direction - V1 direction) for 4 to 10 consecutive times is less than 15°, the flow field C in the sea area is determined. 拐弯度等级 A slight turn occurred (denoted as C 轻微拐弯 When the absolute value of the difference in velocity and direction H (V10 direction - V1 direction) for 4 to 10 consecutive times is greater than 15° and less than 45°, it is considered that the flow field in the sea area is C 拐弯度等级 A moderate turn (marked as C 中度拐弯 ).

[0044] Flow field turning grade C 拐弯度等级 The index calculation formula is shown in formula (1).

[0045]

[0046] (43) The Antarctic krill fishery is preferably C 大拐弯 and C 中度拐弯 Sea areas, generally not recommended C 轻微拐弯 The sea area is a fishing ground ( Figure 3 ).

[0047] (44) The model structures of the fisheries in different sub-regions are similar, but the input parameters are slightly different, especially the sea surface temperature range, while parameters such as temperature gradient and current direction characteristics are basically the same.

[0048] (5) In the same sub-region, within the 0.25 degree longitude and latitude grid, krill boats will transfer fishing grounds every 2 to 10 days, and short-term (day-scale) fishing route planning is required. When the krill swarms near the krill boats disappear, the fishing grounds can be quickly transferred based on the next day's ocean currents and suitable sea area characteristics predicted within the adjacent 0.25 degree longitude and latitude grids, and the location of suitable fishing grounds and the range of catching sea areas can be determined in advance ( Figure 4 ). At this time, the predicted distance of the fishing ground from the ship is generally within 30-100 nautical miles, and the location of the fishing ground can be predicted 1 to 5 days later.

[0049] (6) Krill vessels plan the location of fishing grounds in different sub-regions according to the sailing month, and combine the decision-making model of fishing ground transfer between different sub-regions ( Figure 5 ) provides auxiliary reference for the conversion of fishing grounds in different sub-regions and improves the efficiency of fishery production decision-making.

[0050] (7) Finally, the experience of fishing ground forecasting after the fishing season ends is summarized, forecast parameters are adjusted, and production planning for the second year is carried out.

[0051]

[0052]

[0053]

[0054] 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 predicting the entire process of Antarctic krill fishery production location and planning the short-term fishing route of fishing vessels, characterized in that: The steps include: (1) By collecting and organizing the historical marine environment and fishing log database of krill fisheries, analyzing the optimal marine environment index range of high-yield fisheries on a weekly time scale, and determining the key environmental indicators and fishery dynamics of fishery forecasts, developing identification and analysis methods for various elements of the whole process of fishery production and fishing ground forecasts, establishing monthly distribution maps of operating fisheries, planning decisions on short-term migration paths of fisheries, and decision-making models for fishery transfers between different sub-regions, and forming a decision-making mechanism for the whole process of krill fishery forecasts; (2) Statistical methods were used to identify the marine environment and dynamic characteristics of the fishing grounds above the median krill production as the krill high-abundance sea areas. A suitable range and reference system table for refined prediction indicators of the krill central fishing grounds on a weekly time scale were established. Surface water temperature, surface temperature gradient, and ocean current velocity characteristics were identified as key environmental factors and specific ranges. (3) Through analysis, it can be seen that krill fishing grounds are divided into three sub-areas. The suitable fishing months and location characteristics of each sub-area are different (Figure 2), but the distance from the island or coastal zone is 20 to 100 km; (4) Constructing a fishery forecast model based on binary data of water temperature and ocean currents; (5) Within the same sub-region, krill boats will transfer fishing grounds within the latitude and longitude grids. At this time, it is necessary to plan the short-term fishing routes of fishing boats. When the krill schools near the krill boats disappear, the fishing grounds can be quickly transferred according to the ocean currents and suitable sea area characteristics predicted for the next day in the adjacent latitude and longitude grids, so as to determine the location of suitable fishing grounds and the scope of catching sea areas in advance; (6) Krill vessels plan the location of different sub-region fishing grounds according to the sailing month, and use the decision-making model of fishing ground transfer between different sub-regions as an auxiliary reference for the conversion of fishing grounds in different sub-regions to improve the efficiency of fishery production decision-making; (7) Summarize the experience of fishing ground forecasting and adjust the forecast parameters after the end of the fishing season, as well as the production planning for the second year.

2. The method for predicting the entire process of Antarctic krill fishery production location and planning the short-term fishing route of fishing vessels according to claim 1 is characterized in that: The whole process of fishery production in step (1) includes before entering the fishing ground, fishing in the fishing ground within the sub-area, the decision on the transfer of fishing grounds between sub-areas, and after exiting the fishing ground. The decision on the short-term movement path planning of the fishing ground is calculated on a daily scale.

3. The method for predicting the entire process of Antarctic krill fishery production location and planning the short-term fishing route of fishing vessels according to claim 1 is characterized in that: In the step (2), the krill production is identified by statistical methods in tons / day / vessel, and the sea area above the median is defined as the sea area with high krill abundance and the central fishing ground.

4. The method for predicting the entire process of Antarctic krill fishery production location and planning the short-term fishing route of fishing vessels according to claim 1 is characterized in that: In step (2), the surface water temperature, surface temperature gradient and ocean current velocity characteristics are determined as key environmental factors and specific ranges. The water temperature and ocean current characteristics of the 50-meter water layer are similar to those of the surface layer and therefore are not required for reference. The variation patterns of dissolved oxygen and chlorophyll in the 50-meter water layer are difficult to identify and are not considered as key environmental factors.

5. The method for predicting the entire process of Antarctic krill fishery production location and planning the short-term fishing route of fishing vessels according to claim 1 is characterized in that: It can be seen from the analysis in step (3) that the krill fishery is divided into three sub-areas, namely, fishery 48.1, 48.2 and 48.

3.

6. The method for predicting the entire process of Antarctic krill fishery production location and planning the short-term fishing route of fishing vessels according to claim 1 is characterized in that: The step (4) constructs a fishing ground forecast model based on the binary data of water temperature and ocean current, and specifically comprises the following steps: (41) Select the most suitable surface temperature range according to the sea area corresponding to the sub-regional fishing ground in each month and week, and then narrow the scope of the fishing ground according to the longitude and latitude grid sea area of ​​the temperature gradient range. Then, the central fishing ground is selected in combination with the place where the ocean current turns at a large angle or where several ocean currents collide. At this time, the scope of the fishing ground can be narrowed to a few nautical miles or more than ten nautical miles. The ocean current index should not select surface ocean currents or deep ocean currents below 150 meters; (42) The 50-meter ocean current vectors in the spatial grid of 2.5' latitude × 5' longitude are gridded, and a velocity and direction vector V is visualized in each grid. The velocity and direction vector of the ocean current in a certain grid is recorded as V1. The velocity and direction vector of the ocean current in the adjacent grid is searched along the flow direction of V1 and recorded as V2. The velocity and direction vector of the ocean current in the adjacent grid is searched along the flow direction of V2 and recorded as V3. And so on. At least 4 and no more than 10 grids are searched for the flow direction difference H of the ocean current vector V. The flow direction difference range is 0 to 180 degrees. When the flow direction difference H of 4 to 10 consecutive flow direction vectors V1 to V10, V10 flow direction - V1 flow direction, is greater than 45 degrees in absolute value, the current field C of the sea area is determined. 拐弯度等级 A big turn occurred, marked as C 大拐弯 When the absolute value of the difference in velocity and direction H, V10 direction - V1 direction, is less than 15° for 4 to 10 consecutive times, the flow field C in the sea area is determined. 拐弯度等级 A slight turn occurs, which is marked as C 轻微拐弯 When the absolute value of the difference in velocity and direction H, V10 direction - V1 direction, for 4 to 10 consecutive times is greater than 15° and less than 45°, it is considered that the flow field in the sea area is C 拐弯度等级 A moderate turn occurs, which is marked as C 中度拐弯 ; (43) The Antarctic krill fishery is preferably C 大拐弯 and C 中度拐弯 Sea area, not recommended C 轻微拐弯 The sea area is a fishing ground; (44) The model structures of the fisheries in different sub-regions are similar, but the input parameters are slightly different, especially the sea surface temperature range, while parameters such as temperature gradient and current direction characteristics are basically the same.

7. A method for predicting the entire process of Antarctic krill fishery production location and planning the short-term fishing route of fishing vessels according to claim 6, characterized in that: In the step (41), the temperature gradient range is 0.1-0.3°C / 0.5° in the longitude and latitude grid sea area, which reduces the fishing ground range to within 35 nautical miles, and then combines the ocean current direction of the 50-meter or 100-meter water layer to produce a large angle of 50-90°.

8. The method for predicting the entire process of Antarctic krill fishery production location and planning the short-term fishing route of fishing vessels according to claim 6 is characterized in that: The flow field turning level C in step (42) 拐弯度等级 The index calculation formula is shown in formula (1):

9. The method for predicting the entire process of Antarctic krill fishery production location and planning the short-term fishing route of fishing vessels according to claim 1, characterized in that: In the step (5), within the 0.25 degree longitude and latitude grid in the same sub-region, the krill boat will transfer the fishing ground every 2 to 10 days, and the short-term fishing route planning of the fishing boat is calculated on a daily scale.

10. The method for predicting the entire process of Antarctic krill fishery production location and planning the short-term fishing route of fishing vessels according to claim 1, characterized in that: The step (5) is to quickly transfer the fishing ground according to the ocean current and suitable sea area characteristics predicted for the next day in the adjacent 0.25 degree longitude and latitude grid. At this time, the predicted distance of the fishing ground from the ship is generally within 30-100 nautical miles, and the location of the fishing ground in 1 to 5 days can be predicted.

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