Fishing boat operation condition analysis method based on fishing area and high-resolution meteorological data

Abstract

The invention relates to the technical field of marine meteorological condition analysis, in particular to a fishing boat operation condition analysis method based on fishing area and high score meteorological data, which comprises the following steps: S1, fusion analysis; s2, intelligent screening; s3, weather early warning; s4, early warning information release: when it is detected that some ships possibly have dangerous cases due to some weather and other reasons, the alarm information can be actively sent to the ships through the Beidou terminal; s5, performing information linkage, sending the information to a law enforcement terminal APP, and informing a corresponding responsible person of the working condition of the fishing boat, and the method has the following beneficial effects: superposing and screening spatial attribute data of different geographic features such as weather forecast data, a fishing area map, real-time position data of the boat and the like to generate multiple features of a spatial area, and improving the working efficiency of the fishing boat. The spatial corresponding relation between geographic objects is established, the problem of safe salvage of fishery ships under complex marine meteorological conditions is solved, the safety supervision capability of the fishery ships is improved, and economic benefits are generated.

Description

Technical Field

[0001] The present invention relates to the technical field of marine meteorological condition analysis, and in particular to a method for analyzing fishing vessel operating conditions based on fishing areas and high-resolution meteorological data. Background Art

[0002] Marine fishery resources are one of the important resources for mankind. Marine fish, as an important part of marine resources, have provided more than 20% of animal protein sources for mankind. However, the benefits of marine fishing production are constrained by many factors, such as marine resources, weather, sea conditions, etc., especially marine meteorology is closely related to fishery production. It is directly related to the safety of fishing vessel production and the economic benefits of fishing production. Severe marine meteorological conditions will pose a direct threat to the safety of fishing vessels, affect the operating conditions of fishing vessels, and reduce fishing efficiency.

[0003] In order to improve the safety supervision capabilities of fishing ports and fishing vessels and the economic benefits of fishing under changes in the marine meteorological environment, it is necessary to conduct a comprehensive analysis of the safety, fishing efficiency, navigation conditions and other aspects of fishing operations of fishing vessels, closely combine fishing operations with marine meteorology, analyze and generate response measures under various marine environments, and ensure the safety of fishing vessels and the smooth progress of fishing operations. Summary of the invention

[0004] In order to solve the problems existing in the prior art, the present invention provides a method for analyzing fishing vessel operating conditions based on fishing areas and high-resolution meteorological data, so as to solve the problem of how to provide basic support and guarantee for fishing vessel operations.

[0005] To solve the above problems, the technical solution of the present invention is as follows: A method for analyzing fishing vessel operating conditions based on fishing areas and high-resolution meteorological data, comprising the following steps:

[0006] S1 fusion analysis, which integrates weather forecast data with fishing area maps and real-time ship location data, and performs spatial superposition calculations on the three types of data;

[0007] S2 intelligent screening;

[0008] S3 weather warning, sending weather information to online ship Beidou terminals;

[0009] S4 early warning information is released. When it is detected that some ships may be in danger due to certain meteorological reasons, etc., warning information can be actively sent to the ships through the Beidou terminal.

[0010] S5 information linkage sends information to the law enforcement APP to inform the relevant person in charge of the working status of the fishing boat.

[0011] Further, the S1 includes,

[0012] (1) Prepare spatial data such as weather forecast data, fishing area maps, and real-time ship location data, and perform spatial configuration preprocessing and data format conversion;

[0013] (2) Establish the topological relationship of spatial data;

[0014] (3) Performing spatial superposition operations;

[0015] (4) Conduct statistics and analysis on the superposition results to extract useful information;

[0016] (5) Make decisions based on the analysis results.

[0017] Furthermore, in step (1), the data generated meets the requirements of GIS.

[0018] Furthermore, in step (2), the topological relationship includes establishing the spatial relationship of points, lines and surfaces.

[0019] Furthermore, in step (3), the spatial overlay operation includes layer overlay, buffer analysis, spatial interpolation, etc.

[0020] Furthermore, in step (4), operations such as intersection, union, and difference are performed on the useful information.

[0021] Furthermore, S2 includes using wind speed and wave height as screening conditions to screen out fishing area information under certain wind speed and wave height conditions, and screening out vessel information in the current area by area range.

[0022] Compared with the prior art, the present invention has the following beneficial effects: the spatial attribute data of different geographical features, such as weather forecast data, fishing area maps, and real-time ship location data, are superimposed and screened to generate multiple characteristics of spatial areas, establish spatial correspondence between geographical objects, make up for the problem of safe salvage of fishing vessels under complex marine meteorological conditions, and improve the safety supervision capabilities of fishing vessels and the economic benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a schematic diagram of the analytical method of the present invention;

[0024] Figure 2 It is a schematic diagram of the operating condition analysis of the present invention. DETAILED DESCRIPTION

[0025] A method for analyzing fishing vessel operating conditions based on fishing areas and high-resolution meteorological data, such as Figure 1 As shown, the following steps are included:

[0026] S1. Fusion analysis: Integrate weather forecast data with fishing area maps, real-time ship location data, etc., perform spatial superposition calculations on the three types of data, and implement refined grid analysis to provide basic support and guarantee for fishing vessel operations.

[0027] (1) Prepare spatial data such as weather forecast data, fishing area maps, and real-time ship locations, and perform spatial configuration preprocessing and data format conversion to meet GIS requirements.

[0028] (2) Establish topological relationships of spatial data, including the establishment of spatial relationships among points, lines, and surfaces.

[0029] (3) Perform spatial overlay operations, including layer overlay, buffer analysis, spatial interpolation, etc.

[0030] (4) Perform statistics and analysis on the superposition results, extract useful information, and perform operations such as intersection, union, and difference.

[0031] (5) Make decisions based on the analysis results.

[0032] S2. Intelligent screening: According to the management requirements of meteorological conditions for fishing vessel operations, wind speed and wave height are used as screening conditions to screen out fishing area information under certain wind speed and wave height conditions, and to screen out ship information in the current area through the regional scope.

[0033] S3. Weather warning: Weather warning information is released and sent to online Beidou terminals on ships to protect fishermen’s fishing work and life safety.

[0034] S4. Early warning information release: When it is detected that some ships may be in danger due to certain meteorological reasons, warning information can be actively sent to the ships through the Beidou terminal, including the ships taking shelter nearby and returning to port, etc., effectively ensuring the safety of fishermen and reducing property losses.

[0035] S5. Information linkage: supports informing the law enforcement APP and relevant persons in charge of the working status of fishing vessels. Law enforcement officers can receive notifications on the APP, view information details, direct the work of fishing vessels, and make corresponding disposal, etc.

[0036] This application can use Java+Python to implement data space analysis and provide external services by creating online software. Users can use the online software to analyze operations and select conditions such as fishing boat operation areas and operation time. The system automatically recommends suitable operation areas and issues early warnings for risky areas. The resulting operation condition analysis diagram is as follows: Figure 2 As shown, ensuring the safe travel of fishing boats.

[0037] The above specific implementation methods are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to examples, a person skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

Claims

1. A method for analyzing fishing vessel operating conditions based on fishing areas and high-resolution meteorological data, characterized in that: The following steps are involved: S1 fusion analysis, which integrates weather forecast data with fishing area maps and real-time ship location data, and performs spatial superposition calculations on the three types of data; S2 intelligent screening; S3 weather warning, sending weather information to online ship Beidou terminals; S4 early warning information is released. When it is detected that some ships may be in danger due to certain meteorological reasons, etc., warning information can be actively sent to the ships through the Beidou terminal. S5 information linkage sends information to the law enforcement APP to inform the relevant person in charge of the working status of the fishing boat.

2. The analysis method according to claim 1, characterized in that: The S1 includes, (1) Prepare spatial data such as weather forecast data, fishing area maps, and real-time ship location data, and perform spatial configuration preprocessing and data format conversion; (2) Establish the topological relationship of spatial data; (3) Performing spatial superposition operations; (4) Conduct statistics and analysis on the superposition results to extract useful information; (5) Make decisions based on the analysis results.

3. The analysis method according to claim 2, characterized in that: In the step (1), the generated data meets the requirements of GIS.

4. The analysis method according to claim 3, characterized in that: In the step (2), the topological relationship includes establishing the spatial relationship of points, lines and surfaces.

5. The analysis method according to claim 4, characterized in that: In the step (3), the spatial overlay operation includes layer overlay, buffer analysis, spatial interpolation, etc.

6. The analysis method according to claim 5, characterized in that: In the step (4), operations such as intersection, union, and difference are performed on the useful information.

7. The analysis method according to claim 1, characterized in that: The S2 includes using wind speed and wave height as screening conditions to screen out fishing area information under certain wind speed and wave height conditions, and screening out vessel information in the current area by area range.

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