A method for predicting the entire production location of Antarctic krill and planning short-term fishing routes for fishing vessels.
By analyzing the marine environment and fishing logs of Antarctic krill fishing grounds, a fishing ground forecasting model was established, which solved the problems of refined prediction of fishery production locations and fishing vessel route planning, and achieved efficient and precise fishing.
Patent Information
- Application Number
- CN202411638511.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-17
- Publication Date
- 2025-10-28
- Estimated Expiration
- 2044-11-17
AI Technical Summary
Existing technologies are insufficient for precise and accurate prediction of Antarctic krill fishing locations and short-term fishing route planning for fishing vessels, leading to increased time and fuel costs for blind navigation and exploration, and a lack of comprehensive fishing ground forecasting guidance.
By collecting historical marine environment and fishing log databases of fishing grounds, we analyze the optimal marine environmental indicators for high-yield fishing grounds, establish a weekly timescale fishing ground forecasting model, and combine water temperature and ocean current data to construct a fishing ground forecasting model. We then formulate a full-process fisheries production decision-making process, including decisions before entering the fishing ground, during fishing within the fishing ground, decisions on fishing ground transfer between sub-regions, and path planning after exiting the fishing ground.
It has improved the efficiency and competitiveness of fishery production, enabled precise fishing and efficient production based on fishing ground location, and reduced the time and fuel costs of aimless navigation.
Smart Images
Figure CN119599178B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the fields of integrated application of marine numerical models, fishing logs, and vessel position big data, and in particular to a method for predicting the entire process of Antarctic krill fishery production location and planning short-term fishing routes for fishing vessels. Background Technology
[0002] Antarctic krill, as the animal group with the largest single species resource on Earth, has extremely high ecological and fisheries value in the Southern Ocean ecosystem. It is a renewable animal protein source, an important source of blue food in the ocean, and a source of nutrients for humans. Each year, 8-12 fishing vessels operate in the FAO 48 fishing area in the Ross Sea, with an annual yield of approximately 200,000-450,000 tons. The fishing grounds are subdivided into three smaller areas: 48.1, 48.2, and 48.3. Fishing vessels are distributed across different sub-areas in different months. Because each krill vessel sails to the fishing grounds in different months, preparations and selection of fishing grounds are conducted before departure based on historical and monthly fishing ground distributions. The fishing grounds are further narrowed down based on whether krill vessels are already fishing at sea. Upon arrival at the fishing grounds, the location is further subdivided based on the marine environment, vessel position, and acoustic imaging of the krill, thus achieving precise krill fishing and efficient production.
[0003] Since April, late June to July, and August to September are the months for krill fishing ground transitions across sub-regions during different stages of krill vessel voyages, it is necessary to comprehensively determine which sub-region is a suitable krill fishing ground based on sea ice coverage and water temperature conditions. This is of great reference value for accurate fishing ground assessment and voyage production planning. However, in actual production and preparation for voyages, the degree of control over fishing grounds varies among different fishing companies or krill vessel management centers, and the spatiotemporal scale of fishing ground forecasts has a significant impact on forecast accuracy. Traditional models that use a monthly time scale and a spatial resolution of 1 degree latitude and longitude grids for fishing ground forecasts are difficult to meet the needs of refined and accurate fishing ground prediction and practical production applications. Furthermore, there are no literature reports on the application of multi-level krill fishing ground forecasts before, during, and after voyages. Therefore, there is no known method or technical process for predicting the location of Antarctic krill fishery production throughout the entire process, nor is there a known method or model for planning fishing vessel movement paths in the short term (such as at the day or hour level). This seriously hinders the efficient production of krill fishery, increases the time spent on blind navigation and detection, and increases production costs such as fuel. It is necessary to accelerate technological innovation and model algorithm construction in this area. Summary of the Invention
[0004] To overcome the shortcomings of the prior art, the present invention provides a method for predicting the entire process of Antarctic krill fishery production location and planning short-term fishing routes for fishing vessels.
[0005] The technical solution adopted by this invention to solve its technical problem is:
[0006] A method for predicting the location of Antarctic krill fishery production throughout the entire process and planning short-term fishing routes for fishing vessels includes the following steps:
[0007] (1) By collecting and organizing historical databases of marine environment and fishing logs of krill fishing grounds, we analyzed the range of optimal marine environmental indicators for high-yield fishing grounds on a weekly time scale, determined the key environmental indicators and dynamic laws of fisheries for fishing ground forecasting, formulated identification and analysis methods for various elements of fishing ground forecasting throughout the entire process of fisheries production, established monthly distribution maps of operating fishing grounds, short-term movement path planning and decision-making for fishing grounds, and fishing ground transfer decision-making models for different sub-regions, and formed a whole-process forecasting decision-making mechanism for krill fishing grounds.
[0008] (2) By using statistical methods, we identified the marine environment and fishing ground dynamics of sea areas with high krill abundance above the median krill yield. We established a table of suitable ranges and reference systems for refined prediction indicators of krill center fishing grounds on a weekly time scale, and determined surface water temperature, surface temperature gradient and ocean current velocity characteristics as key environmental factors and specific ranges.
[0009] (3) Analysis shows that the krill fishing grounds are divided into three sub-regions, each with different suitable fishing months and location characteristics. Figure 2 However, they are all 20 to 100 km away from islands or coastlines;
[0010] (4) Construct a fishing ground forecasting model based on binary data of water temperature and ocean currents;
[0011] (5) Within the same sub-region, krill boats will shift fishing grounds. At this time, it is necessary to plan the short-term fishing route of the fishing boat. When the shrimp population near the krill boat disappears, the fishing grounds can be quickly shifted according to the ocean current and sea area suitability characteristics predicted for the next day in the adjacent latitude and longitude grids. The suitable fishing ground location and catchable sea area range can be determined in advance.
[0012] (6) Krill vessels plan the location of different sub-region fishing grounds according to the month of departure, and combine the decision-making model of fishing ground transfer between different sub-regions to provide auxiliary reference for the conversion of fishing grounds in different sub-regions, thereby improving the efficiency of fishery production decision-making.
[0013] (7) Summarize the experience of fishing ground forecasting after the end of the fishing season, adjust the forecast parameters, and plan the production for the second year's voyage.
[0014] As a preferred embodiment, the entire process of fishery production in step (1) includes pre-entry into the fishing ground, fishing in the fishing ground within the sub-region, fishing ground transfer decision between sub-regions, and fishing ground exit decision. The short-term movement path planning decision of the fishing ground is calculated on a daily scale.
[0015] In a preferred embodiment, in step (2), the krill yield is identified by statistical methods based on tons / day / ship, and the sea area above the median is defined as the high-abundance sea area of krill 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, so they can be disregarded. Since the variation patterns of dissolved oxygen and chlorophyll in the 50-meter water layer are difficult to identify, they are also not considered as key environmental factors.
[0017] As a preferred embodiment, in step (3), it can be seen from the analysis that the krill fishing grounds are divided into three sub-regions: 48.1, 48.2, and 48.3.
[0018] In a preferred embodiment, step (4) constructs a fishing ground forecasting model based on binary data of water temperature and ocean currents, specifically including the following steps:
[0019] (41) Select the optimal surface temperature range for the fishing grounds in the corresponding sub-regions for each month and week. Then, based on the temperature gradient range and latitude and longitude grid, narrow down the fishing grounds. Combined with the fact that the ocean currents make a sharp turn or several ocean currents collide, the central fishing grounds are preferred. At this time, the fishing grounds can be narrowed down to a few nautical miles or a dozen nautical miles. The ocean current index should not be selected from surface ocean currents or deep ocean currents below 150 meters.
[0020] (42) The ocean current vectors within a spatial grid of 2.5' latitude × 5' longitude are gridded using 50-meter ocean current vectors. Each grid visualizes a current velocity and direction vector V. The current velocity and direction vector within a certain grid is denoted as V1. The current velocity and direction vectors in adjacent grids along the direction of V1 are denoted as V2. The current velocity and direction vectors in adjacent grids along the direction of V2 are denoted as V3, and so on. At least 4 and no more than 10 current vectors V are searched for the current direction difference H, which is in the range of 0 to 180 degrees. When the absolute value of the current direction difference H between 4 to 10 consecutive current velocity and direction vectors V1 to V10, where V10 current direction - V1 current direction is greater than 45°, the current field C of that sea area is determined. 拐弯度等级 A sharp turn occurred, denoted as C. 大拐弯 When the absolute value of the velocity-direction difference H between V10 and V1 for 4 to 10 consecutive times is less than 15°, the current field C of that sea area is determined to be... 拐弯度等级 A slight turn was recorded as C. 轻微拐弯 When the absolute value of the velocity-direction difference H between V10 and V1 for 4 to 10 consecutive times is greater than 15° and less than 45°, the current field C of that sea area is considered to be... 拐弯度等级 A moderate turn occurred, recorded as C. 中度拐弯 ;
[0021] (43) The preferred Antarctic krill fishing ground is C 大拐弯 and C 中度拐弯 Sea area, C not recommended 轻微拐弯 The sea area is a fishing ground;
[0022] (44) The model structures of different sub-region fishing grounds are similar, but the input parameters are slightly different, especially the sea surface temperature range, while the temperature gradient, ocean current direction characteristics and other parameters are basically the same.
[0023] As a preferred embodiment, in step (41), the temperature gradient range of 0.1~0.3℃ / 0.5° latitude and longitude grid sea area is narrowed to within 35 nautical miles, and then combined with the ocean current direction of 50m or 100m water layer with a large angle of 50~90°.
[0024] In a preferred embodiment, the C of the flow field bend level in step (42) 拐弯度等级 The formula for calculating the index is shown in formula (1):
[0025]
[0026] In a preferred embodiment, in step (5), within the same sub-region and a 0.25-degree latitude and longitude grid, the krill boat will move to a different fishing ground 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, step (5) involves rapidly transferring the fishing grounds based on the ocean currents and suitable sea area characteristics predicted for the next day within the adjacent 0.25 degree latitude and longitude grid. At this time, the distance between the predicted fishing grounds and the ship is generally within 30-100 nautical miles, and the location of the fishing grounds can be predicted 1 to 5 days later.
[0028] Beneficial effects:
[0029] The technical solution of this invention fills the industry gap of lacking krill fishing ground forecasting models and providing guidance for full-process fishing ground forecasting. Compared with existing technologies, it has the following advantages and positive effects. This invention is the first to analyze the optimal range of marine environmental indicators for high-yield fishing grounds on a weekly timescale, and determines the key environmental indicators and fishery dynamics for fishing ground forecasting. It formulates methods for identifying and analyzing various elements of fishing ground forecasting throughout the entire fishery production process (before entering the fishing ground, during fishing within a sub-region, decision-making on fishing ground transfer between sub-regions, and after exiting the fishing ground). Simultaneously, it elucidates the decision-making models and strategies for fishing ground transfer between different sub-regions, thereby improving fishery production efficiency and competitiveness. Attached Figure Description
[0030] Figure 1 This is a flowchart of the whole-process forecasting and decision-making mechanism for krill fishing grounds.
[0031] Figure 2This is a monthly distribution map of krill fishing grounds, with the red boxes representing the locations of fishing grounds in each fishery sub-region.
[0032] Figure 3 This is a schematic diagram of the results of a binary forecasting model for krill fishing grounds based on water temperature and ocean current bend levels.
[0033] Figure 4 This is a schematic diagram of the comprehensive analysis and decision-making results of short-term (day-scale) fishing route planning in fishing grounds.
[0034] Figure 5 This is a schematic diagram of the decision-making model for fishery relocation in different sub-regions. Detailed Implementation
[0035] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings: These embodiments are implemented based on the technical solution of the present invention, and provide detailed implementation methods and specific operation processes, but the protection scope of the present invention is not limited to the following embodiments.
[0036] Example:
[0037] The embodiments of the present invention relate to a method for predicting the location of Antarctic krill fishery production throughout the entire process and planning short-term fishing routes for fishing vessels, comprising the following steps:
[0038] (1) By collecting and organizing the marine environment and catch log database of krill fishing grounds from 2010 to 2024, we analyzed the optimal range of marine environmental indicators for high-yield fishing grounds on a weekly timescale, determined the key environmental indicators and fishery dynamics for fishing ground forecasting, and formulated a method for identifying and analyzing various elements of fishing ground forecasting throughout the entire process of fishery production (before entering the fishing ground, during fishing in the sub-region, decision-making on fishing ground transfer between sub-regions, and after exiting the fishing ground). Figure 1 Establish monthly distribution maps of operating fishing grounds, short-term (astronomical) movement path planning and decision-making for fishing grounds, and fishing ground transfer decision-making models for different sub-regions, forming a whole-process forecasting and decision-making mechanism for krill fishing grounds.
[0039] (2) Statistical methods were used to identify the marine environment and fishing ground dynamics of sea areas with high krill abundance (defined as central fishing grounds) above the median krill yield (tons / day / ship) for each month and week (generally 120 tons / day / ship). A table of suitable ranges and reference systems for refined prediction indicators of the central krill fishing grounds at a weekly timescale was established (Table 1). Table 1 shows that surface temperature and ocean current are the most important marine environmental indicators for refined krill fishing ground prediction, with suitable ranges varying from month to week. Sea surface height, dissolved oxygen, and chlorophyll concentration have little reference value for fishing ground prediction. Therefore, only water temperature and ocean current are considered as key indicators in the binary prediction model parameters for krill fishing grounds based on key environmental factors. In the surface temperature indicator, besides the suitable temperature range being a reference, areas with large temperature gradients are also important parameters. Similarly, since the spatiotemporal variation characteristics of the water temperature at a depth of 50 meters are similar to those of surface water temperature, and its temperature gradient distribution characteristics are also similar to those of surface water temperature, the surface water temperature gradient can be used as one of the important parameters for krill fishery prediction. Surface water temperature, surface temperature gradient, and ocean current velocity characteristics are identified as key environmental factors and specific ranges, while the water temperature and ocean current characteristics at a depth of 50 meters are similar to those at the surface and can therefore be disregarded. Since the variation patterns of dissolved oxygen and chlorophyll at a depth of 50 meters are difficult to identify, they can also be disregarded as key environmental factors.
[0040] (3) Analysis of historical fishery data shows that the krill fishing grounds are divided into three sub-regions (48.1, 48.2, and 48.3), each with different suitable fishing months and location characteristics. Figure 2 However, they are all 20 to 100 km away from islands or coastlines.
[0041] (4) A fishing ground forecasting model is constructed based on binary data of water temperature and ocean currents, as follows:
[0042] (41) Select the optimal surface temperature range for the corresponding sub-regional fishing grounds based on the waters of each month and week (Table 1). Then, narrow the fishing ground range to within 35 nautical miles based on the temperature gradient range (0.1-0.3℃ / 0.5° latitude and longitude grid area). Furthermore, the central fishing ground is preferably located where the ocean current at a 50-meter (or 100-meter) water layer makes a sharp turn (50-90°) or where several ocean currents collide. At this point, the fishing ground range can be narrowed to a few nautical miles or a dozen nautical miles. It is not recommended to select surface ocean currents or ocean currents deeper than 150 meters as the ocean current index.
[0043] (42) The ocean current vectors within a spatial grid of 2.5' latitude × 5' longitude are gridded using 50-meter ocean current vectors. Each grid visualizes a velocity and direction vector V. The velocity and direction vector of the ocean current in a certain grid is denoted as V1. The velocity and direction vectors of the ocean current in the adjacent grid are found along the direction of V1 and denoted as V2. The velocity and direction vectors of the ocean current in the adjacent grid are found along the direction of V2 and denoted as V3, and so on. At least 4 and no more than 10 ocean current vectors V are searched for the direction difference H (the direction difference range is 0 to 180 degrees). When the absolute value of the direction difference H (V10 direction - V1 direction) of 4 to 10 consecutive velocity and 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 sharp turn occurred (denoted as C). 大拐弯 When the absolute value of the velocity-direction difference H (V10 direction - V1 direction) is less than 15° for 4 to 10 consecutive times, the current field C of that sea area is determined to be... 拐弯度等级 A slight turn occurred (referred to as C) 轻微拐弯 When the absolute value of the velocity-direction difference H(V10 direction - V1 direction) for 4 to 10 consecutive times is greater than 15° and less than 45°, the current field C of that sea area is considered to be... 拐弯度等级 A moderate turn occurred (denoted as C). 中度拐弯 ).
[0044] C of the flow field turning level 拐弯度等级 The formula for calculating the index is shown in formula (1).
[0045]
[0046] (43) The preferred Antarctic krill fishing ground is 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 different sub-region fishing grounds are similar, but the input parameters are slightly different, especially the sea surface temperature range, while the temperature gradient, ocean current direction characteristics and other parameters are basically the same.
[0048] (5) Within the same subregion and a 0.25° latitude and longitude grid, krill vessels will shift fishing grounds every 2–10 days. At this time, short-term (astronomical) fishing route planning for the vessels is necessary. When krill populations disappear near the krill vessel, the fishing grounds can be quickly shifted based on the predicted ocean currents and suitable sea area characteristics for the next day within the adjacent 0.25° latitude and longitude grids, allowing for advance determination of suitable fishing ground locations and catchable sea areas. Figure 4 At this time, the distance between the forecasted fishing ground and 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 month of departure, and combine this with the decision-making model for fishing ground transfer between different sub-regions. Figure 5 This can serve as a supplementary reference for switching between fishing grounds in different sub-regions, thereby improving the efficiency of fisheries production decision-making.
[0050] (7) Finally, there is the summary of fishing ground forecasting experience and adjustment of forecasting parameters after the end of the fishing season, as well as the production planning for the second year's voyage.
[0051]
[0052]
[0053]
[0054] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of this invention is defined by the appended claims and their equivalents.
Claims
1. A method for predicting the entire production location of Antarctic krill and planning short-term fishing routes for fishing vessels, characterized in that, Includes the following steps: (1) By collecting and organizing the historical database of marine environment and fishing logs of krill fishing grounds, we analyzed the range of optimal marine environmental indicators for high-yield fishing grounds on a weekly time scale, determined the key environmental indicators and dynamic laws of fisheries for fishing ground forecasting, formulated the identification and analysis methods for various elements of fishing ground forecasting for the whole process of fisheries production, established a monthly distribution map of the fishing grounds, a short-term movement path planning decision-making mechanism for fishing grounds, and a fishing ground transfer decision-making model for different sub-regions, and formed a whole process forecasting decision-making mechanism for krill fishing grounds. (2) By using statistical methods, we identified the marine environment and fishing ground dynamics of sea areas with high krill abundance above the median krill yield. We established a table of suitable ranges and reference systems for refined prediction indicators of krill center fishing grounds on a weekly time scale, and determined surface water temperature, surface temperature gradient and ocean current velocity characteristics as key environmental factors and specific ranges. (3) Analysis shows that the krill fishing grounds are divided into three sub-regions. The suitable fishing months and location characteristics of each sub-region are different, but they are all 20 to 100 km away from islands or coastlines. (4) Constructing a fishing ground forecasting model based on binary data of water temperature and ocean currents, specifically including the following steps: (41) Select the optimal surface temperature range for the fishing grounds in each sub-region based on the time period of each month and week. Then, based on the temperature gradient range and latitude grid, narrow down the fishing grounds. Finally, select the central fishing grounds where the ocean currents make a sharp turn or where several ocean currents collide. At this time, the fishing grounds can be narrowed down to a few nautical miles or a dozen nautical miles. The ocean current index should not be selected from surface ocean currents or deep ocean currents below 150 meters. (42) The ocean current vectors within a spatial grid of 2.5' latitude × 5' longitude are gridded. Each grid visualizes a velocity and direction vector V. The velocity and direction vector of the ocean current in a certain grid is denoted as V1. The velocity and direction vectors of the ocean current in the adjacent grid are found along the direction of V1 and denoted as V2. The velocity and direction vectors of the ocean current in the adjacent grid are found along the direction of V2 and denoted as V3, and so on. The direction difference H of the ocean current vectors V in at least 4 and no more than 10 grids is searched. The direction difference range is 0~180 degrees. When the absolute value of the flow direction difference H between 4 and 10 consecutive velocity and flow direction vectors V1 and V10, V10 flow direction - V1 flow direction, is greater than 45°, it is determined that the current field in the sea area has undergone a large bend, denoted as . When the absolute value of the flow direction difference H between 4 and 10 consecutive velocity and flow direction vectors, V10 flow direction - V1 flow direction, is less than 15°, it is determined that the current field in the sea area has undergone a slight bend, denoted as . When the absolute value of the flow direction difference H between 4 and 10 consecutive velocity and flow direction vectors, V10 flow direction - V1 flow direction, is greater than 15° and less than 45°, it is considered that the current field in the sea area has undergone a moderate bend, denoted as . (43) Antarctic krill fishing grounds are in the sea area, and sea areas are not recommended as fishing grounds; (44) The model structures of different sub-region fishing grounds are similar, but the input parameters are slightly different, the sea surface temperature range is different, while the temperature gradient and ocean current direction characteristic parameters are consistent. (5) Within the same sub-region, krill boats will shift fishing grounds. At this time, it is necessary to plan the short-term fishing route of the fishing boat. When the shrimp population near the krill boat disappears, the fishing grounds can be quickly shifted according to the ocean current and sea area suitability characteristics predicted for the next day in the adjacent latitude and longitude grids. The suitable fishing ground location and catchable sea area range can be determined in advance. (6) Krill vessels plan the location of fishing grounds in different sub-regions according to the month of departure, and combine the decision-making model of fishing ground transfer between different sub-regions to provide auxiliary reference for the conversion of fishing grounds in different sub-regions, thereby improving the efficiency of fishery production decision-making. (7) Summary of fishing ground forecasting experience and adjustment of forecasting parameters after the end of the fishing season, and production planning for the second year's voyage.
2. The method for predicting the entire process of Antarctic krill fishery production location and planning short-term fishing routes for fishing vessels according to claim 1, characterized in that, The entire process of fishery production in step (1) includes pre-entry into the fishing ground, fishing in the fishing ground within the sub-region, fishing ground transfer decision between sub-regions, and fishing ground exit decision. The short-term movement path planning decision 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 short-term fishing routes for fishing vessels according to claim 1, characterized in that, In step (2), the krill yield is identified by statistical methods based on tons / day / ship, and the sea area above the median is defined as the high-abundance sea area of krill and is defined as the central fishing ground.
4. The method for predicting the entire process of Antarctic krill fishery production location and planning short-term fishing routes for fishing vessels according to claim 1, 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, so they can be disregarded. Since the variation patterns of dissolved oxygen and chlorophyll in the 50-meter water layer are difficult to identify, they are also not considered as key environmental factors.
5. The method for predicting the entire process of Antarctic krill fishery production location and planning short-term fishing routes for fishing vessels according to claim 1, characterized in that, In step (3), the analysis shows that the krill fishing grounds are divided into three sub-regions: 48.1, 48.2, and 48.
3.
6. The method for predicting the entire process of Antarctic krill fishery production location and planning short-term fishing routes for fishing vessels according to claim 1, characterized in that, In step (41), the temperature gradient range of 0.1~0.3℃ / 0.5° latitude and longitude grid sea area is narrowed to within 35 nautical miles, and then combined with the ocean current direction of 50m or 100m water layer to produce a large angle of 50~90°.
7. The method for predicting the entire process of Antarctic krill fishery production location and planning short-term fishing routes for fishing vessels according to claim 1, characterized in that, The formula for calculating the index of the flow field turning level in step (42) is shown in formula (1):
8. The method for predicting the entire process of Antarctic krill fishery production location and planning short-term fishing routes for fishing vessels according to claim 1, characterized in that, In step (5), within the same sub-region and a 0.25-degree latitude and longitude grid, the krill boat will change fishing grounds every 2 to 10 days, and the short-term fishing route planning of the fishing boat is calculated on a daily scale.
9. The method for predicting the entire process of Antarctic krill fishery production location and planning short-term fishing routes for fishing vessels according to claim 1, characterized in that, Step (5) involves rapidly shifting the fishing grounds based on the ocean currents and suitable sea area characteristics predicted for the next day within the adjacent 0.25 degree latitude and longitude grid. At this time, the distance between the predicted fishing grounds and the ship is within 30-100 nautical miles, and the location of the fishing grounds can be predicted 1 to 5 days later.