An overseas fishery production evaluation method and system based on data analysis and a medium

Abstract

The application discloses a kind of transoceanic fishery production evaluation method, system and medium based on data analysis, the present application is obtained by acquiring marine production subarea marine video data, marine image data and sonar feedback data Comprehensive analysis, obtain the marine ecological evaluation information with ecological guiding significance, according to marine ecological evaluation information analysis corresponding marine production scheme information, through production scheme information can more efficiently carry out marine production, improve the efficiency and yield of marine production, also reduce the damage to marine ecology.In addition, by obtaining the second marine ecological evaluation information, comparing the ecological data before and after production, can obtain the ecological regulation information with pertinence to carry out the ecological regulation after production, so as to realize the purpose of sustainable development of marine production.

Description

Technical Field

[0001] This invention relates to the field of data analysis, and more specifically, to a method, system, and medium for evaluating transoceanic fishery production based on data analysis. Background Technology

[0002] Distant-water fishing, which involves fishing within another country's 200-nautical-mile exclusive economic zone, is characterized by high investment and high risk, and has a profound impact on international fisheries cooperation and diplomatic strategy. While ocean fishing provides humans with a large amount of fish as food, enriching our diet and providing essential nutrients, the increasing demand for fish due to rising living standards has led to overfishing. This overfishing has resulted in a sharp decline in marine fish populations, and pollution of the marine environment has altered fish habitats, leading to the extinction of some species. Furthermore, if the fisheries industry lacks sufficient understanding of marine ecological value and has a weak awareness of ecological security, marine ecological security is often overlooked in marine development planning and construction, making marine ecological and environmental problems particularly prominent.

[0003] Raising awareness of ecological security in fisheries and constructing an evaluation system for fisheries production have become crucial issues for marine fisheries. Therefore, a method for evaluating transoceanic fisheries production is urgently needed. Summary of the Invention

[0004] To address at least one of the aforementioned technical problems, this invention proposes a data analysis-based evaluation method for transoceanic fisheries production.

[0005] The first aspect of this invention provides a data analysis-based method for evaluating transoceanic fishery production, comprising:

[0006] The production sea area is divided into multiple marine production sub-regions;

[0007] Acquire marine video data, marine image data, and sonar feedback data for the marine production sub-region;

[0008] Data analysis was conducted based on marine video data, seabed image data, and sonar feedback data to obtain the first marine ecological assessment information.

[0009] Based on the first marine ecological assessment information, marine production data analysis is conducted to obtain marine production plan information, and the second marine ecological assessment information after marine production is obtained.

[0010] The first and second marine ecological assessment information were imported into the ecological analysis model for data analysis to obtain marine ecological regulation information.

[0011] In this scheme, the production sea area is divided into multiple marine production sub-regions, specifically as follows:

[0012] Construct a two-dimensional ocean map model;

[0013] Import the two-dimensional coordinate information of the production sea area into the marine two-dimensional map model to generate the two-dimensional map model of the production sea area.

[0014] Based on the size of the production sea area, the two-dimensional map model of the production sea area is divided into vertical and horizontal grids to form multiple marine production sub-regions. After the division, the area of ​​each sub-region is less than or equal to the preset maximum sub-region area.

[0015] Determine whether the sum of the areas of two adjacent marine production sub-regions is less than the preset maximum sub-region area;

[0016] If the size is smaller than the size, the two adjacent marine production sub-regions will be merged to form a new marine production sub-region.

[0017] In this solution, the acquisition of marine video data, marine image data, and sonar feedback data of the marine production sub-region includes, prior to:

[0018] Obtain information on marine species within the production area;

[0019] Initial image information of marine species is obtained by retrieving data from big data based on marine species information.

[0020] Image features are extracted from the initial image information of marine species, and feature comparison analysis is performed. Image data with low image feature recognition is removed to obtain marine species image training data.

[0021] Image feature data is obtained by extracting image feature values ​​from marine species image training data;

[0022] A marine organism identification model is constructed by importing marine species image training data and image feature data into the marine organism identification model for data training, resulting in a trained marine organism identification model.

[0023] In this scheme, the step of analyzing marine video data, seabed image data, and sonar feedback data to obtain the first marine ecological assessment information includes:

[0024] The ocean video data was acquired and divided according to seabed depth to obtain shallow sea layer video data and deep sea layer video data.

[0025] The shallow sea layer video data and deep sea layer video data are preprocessed, keyframes are extracted and data is organized to obtain a set of marine video keyframes.

[0026] The keyframe set of marine video and sonar feedback data are imported into the marine biometrics model for feature recognition, resulting in information on shallow-sea animals and deep-sea animals.

[0027] In this scheme, the step of analyzing marine video data, seabed image data, and sonar feedback data to obtain the first marine ecological assessment information also includes:

[0028] Acquire seabed image data from ocean imagery;

[0029] The seabed image data is preprocessed and image feature values ​​are extracted to obtain seabed image feature data.

[0030] The feature data of the seabed image is imported into the marine organism recognition model for feature recognition to obtain information about seabed organisms.

[0031] In this scheme, the step of analyzing marine video data, seabed image data, and sonar feedback data to obtain the first marine ecological assessment information also includes:

[0032] Acquire images of historical marine algal reproduction;

[0033] Image preprocessing and color feature extraction were performed on images of historical marine algae reproduction to obtain color feature values ​​of historical algae images;

[0034] Obtain sea surface image information from ocean image data;

[0035] Image data preprocessing and color feature extraction are performed based on sea surface image information to obtain sea surface image color feature values;

[0036] By comparing and analyzing the color feature values ​​of sea surface images with those of historical algae images, algae growth information can be obtained.

[0037] In this scheme, the step of analyzing marine video data, seabed image data, and sonar feedback data to obtain the first marine ecological assessment information specifically involves:

[0038] The first marine ecological assessment information includes a marine biodiversity index, the specific calculation formula of which is as follows:

[0039] ,

[0040] in, For marine biodiversity index, The marine life activity index, The number of marine species. Number of algal species Seabed biodiversity;

[0041] The first marine ecological assessment information includes a marine ecological restoration intensity index, and the specific calculation formula for the marine ecological restoration intensity index is as follows:

[0042] ,

[0043] in, The marine ecological restoration intensity index. For marine biodiversity index, The marine life activity index, The number of marine species. Number of algal species For seabed organism density, Let be the quantity value of the i-th type of algae.

[0044] In this scheme, the step of obtaining marine production scheme information by analyzing marine production data based on the first marine ecological assessment information, and obtaining the second marine ecological assessment information after marine production, specifically involves:

[0045] Obtain the marine biodiversity index and marine ecological restoration intensity index from the first marine ecological assessment information and make numerical judgments;

[0046] If the marine biodiversity index is greater than the preset first threshold and the marine ecological restoration intensity index is greater than the preset second threshold, then the corresponding marine production sub-region will be marked as a priority fishing sub-region.

[0047] Identify all marine production sub-regions and obtain information on priority fishing sub-regions;

[0048] Production duration information is obtained by predicting production time based on the marine ecological restoration intensity index in the information of priority fishing sub-areas.

[0049] Information on priority fishing sub-areas and production duration is fused to obtain marine production plan information.

[0050] In this scheme, the step of importing the first marine ecological assessment information and the second marine ecological assessment information into the ecological analysis model for data analysis to obtain marine ecological regulation information specifically involves:

[0051] Marine production is carried out based on marine production plan information, and the second marine video data, second seabed image data, and second sonar feedback data after marine production are obtained for data analysis to obtain second marine ecological assessment information.

[0052] Import the first and second marine ecological assessment information into the ecological analysis model;

[0053] The ecological analysis model compares and analyzes the ecological assessments based on the first and second marine ecological assessment information, and obtains information on the regulation of marine production species, marine algae, and marine production time.

[0054] Marine ecological regulation information is obtained by merging information on the regulation of marine production species, marine algae, and marine production time.

[0055] A second aspect of the present invention also provides a data analysis-based evaluation system for transoceanic fisheries production. The system includes a memory and a processor. The memory includes a data analysis-based evaluation method program for transoceanic fisheries production. When executed by the processor, the data analysis-based evaluation method program for transoceanic fisheries production implements the following steps:

[0056] The production sea area is divided into multiple marine production sub-regions;

[0057] Acquire marine video data, marine image data, and sonar feedback data for the marine production sub-region;

[0058] Data analysis was conducted based on marine video data, seabed image data, and sonar feedback data to obtain the first marine ecological assessment information.

[0059] Based on the first marine ecological assessment information, marine production data analysis is conducted to obtain marine production plan information, and the second marine ecological assessment information after marine production is obtained.

[0060] The first and second marine ecological assessment information were imported into the ecological analysis model for data analysis to obtain marine ecological regulation information.

[0061] A third aspect of the present invention also provides a computer-readable storage medium comprising a data analysis-based method program for evaluating transoceanic fishery production, wherein when the data analysis-based method program is executed by a processor, it implements the steps of the data analysis-based method for evaluating transoceanic fishery production as described in any of the preceding claims.

[0062] This invention discloses a data analysis-based method, system, and medium for evaluating transoceanic fisheries production. By comprehensively analyzing marine video data, marine image data, and sonar feedback data from sub-regions of marine production, this invention obtains ecologically significant marine ecological assessment information. Based on this assessment information, corresponding marine production plans are derived, enabling more efficient marine production, improving both efficiency and yield while reducing damage to the marine ecosystem. Furthermore, by acquiring secondary marine ecological assessment information and comparing ecological data before and after production, targeted ecological regulation information can be obtained for post-production ecological control, thereby achieving the goal of sustainable development in marine production. Attached Figure Description

[0063] Figure 1 A flowchart of a data analysis-based method for evaluating transoceanic fishery production according to the present invention is shown;

[0064] Figure 2 A flowchart illustrating the sub-regional division of marine production in this invention is shown.

[0065] Figure 3 This invention illustrates a flowchart of the process for obtaining marine production scheme information.

[0066] Figure 4 A block diagram of a data analysis-based evaluation system for transoceanic fisheries production according to the present invention is shown. Detailed Implementation

[0067] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, unless otherwise specified, the embodiments and features described in these embodiments can be combined with each other.

[0068] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0069] Figure 1 A flowchart of a data analysis-based method for evaluating transoceanic fishery production according to the present invention is shown.

[0070] like Figure 1 As shown, the first aspect of the present invention provides a data analysis-based method for evaluating transoceanic fishery production, comprising:

[0071] S102 divides the production sea area into multiple marine production sub-regions;

[0072] S104, acquire marine video data, marine image data, and sonar feedback data of the marine production sub-region;

[0073] S106. Data analysis was conducted based on marine video data, seabed image data, and sonar feedback data to obtain the first marine ecological assessment information.

[0074] S108. Based on the first marine ecological assessment information, marine production data analysis is performed to obtain marine production plan information, and the second marine ecological assessment information after marine production is obtained.

[0075] S110, the first and second marine ecological assessment information are imported into the ecological analysis model for data analysis to obtain marine ecological regulation information.

[0076] It should be noted that the marine image data includes seabed image information and sea surface image information. Furthermore, the marine image data is acquired using marine optical camera devices, the marine video data is acquired using marine video camera devices, and the sonar feedback data is acquired using marine sonar detection devices.

[0077] Figure 2 The flowchart of the sub-regional division of marine production in China is shown.

[0078] According to an embodiment of the present invention, the step of dividing the production sea area into multiple marine production sub-regions specifically involves:

[0079] S202, Construct a two-dimensional ocean map model;

[0080] S204, import the two-dimensional coordinate information of the production sea area into the marine two-dimensional map model to generate the two-dimensional map model of the production sea area;

[0081] S206. Based on the size of the production sea area, the two-dimensional map model of the production sea area is divided into vertical and horizontal grids to form multiple marine production sub-regions. After the division, the area of ​​each sub-region is less than or equal to the preset maximum sub-region area.

[0082] S208, determine whether the sum of the areas of two adjacent marine production sub-regions is less than the preset maximum sub-region area;

[0083] S210, if it is less than, the two adjacent marine production sub-regions are merged to form a new marine production sub-region.

[0084] It should be noted that, in the division into multiple marine production sub-regions, the area of ​​each sub-region after division must meet the condition that it is less than or equal to the area of ​​the preset maximum sub-region. After the division, due to the irregularity of the regions, the area of ​​some regions is relatively small. In this case, it is necessary to determine whether to merge them with the adjacent regions based on their area size.

[0085] According to an embodiment of the present invention, the acquisition of marine video data, marine image data, and sonar feedback data of the marine production sub-region includes, prior to:

[0086] Obtain information on marine species within the production area;

[0087] Initial image information of marine species is obtained by retrieving data from big data based on marine species information.

[0088] Image features are extracted from the initial image information of marine species, and feature comparison analysis is performed. Image data with low image feature recognition is removed to obtain marine species image training data.

[0089] Image feature data is obtained by extracting image feature values ​​from marine species image training data;

[0090] A marine organism identification model is constructed by importing marine species image training data and image feature data into the marine organism identification model for data training, resulting in a trained marine organism identification model.

[0091] According to an embodiment of the present invention, the step of performing data analysis based on marine video data, seabed image data, and sonar feedback data to obtain first marine ecological assessment information includes:

[0092] The ocean video data was acquired and divided according to seabed depth to obtain shallow sea layer video data and deep sea layer video data.

[0093] The shallow sea layer video data and deep sea layer video data are preprocessed, keyframes are extracted and data is organized to obtain a set of marine video keyframes.

[0094] The keyframe set of marine video and sonar feedback data are imported into the marine biometrics model for feature recognition, resulting in information on shallow-sea animals and deep-sea animals.

[0095] It should be noted that the shallow sea biological information includes shallow sea biological species information, shallow sea biological density information, and shallow sea biological activity index, while the deep sea biological information includes deep sea biological species information, deep sea biological density information, and deep sea biological activity index. The activity index is a specific quantitative value reflecting the activity of marine organisms, and the sonar feedback data is the main data reflecting the activity of marine animals in the monitored sea area.

[0096] According to an embodiment of the present invention, the step of performing data analysis based on marine video data, seabed image data, and sonar feedback data to obtain first marine ecological assessment information further includes:

[0097] Acquire seabed image data from ocean imagery;

[0098] The seabed image data is preprocessed and image feature values ​​are extracted to obtain seabed image feature data.

[0099] The feature data of the seabed image is imported into the marine organism recognition model for feature recognition to obtain information about seabed organisms.

[0100] It should be noted that the information on marine life includes both quantity and density information. These marine organisms are generally common marine animals, including fish, shrimp, shellfish, and other marine life.

[0101] According to an embodiment of the present invention, the step of performing data analysis based on marine video data, seabed image data, and sonar feedback data to obtain first marine ecological assessment information further includes:

[0102] Acquire images of historical marine algal reproduction;

[0103] Image preprocessing and color feature extraction were performed on images of historical marine algae reproduction to obtain color feature values ​​of historical algae images;

[0104] Obtain sea surface image information from ocean image data;

[0105] Image data preprocessing and color feature extraction are performed based on sea surface image information to obtain sea surface image color feature values;

[0106] By comparing and analyzing the color feature values ​​of sea surface images with those of historical algae images, algae growth information can be obtained.

[0107] It should be noted that the algal growth information includes algal growth density, algal species information, and algal quantity information.

[0108] According to an embodiment of the present invention, the step of performing data analysis based on marine video data, seabed image data, and sonar feedback data to obtain the first marine ecological assessment information specifically includes:

[0109] The first marine ecological assessment information includes a marine biodiversity index, the specific calculation formula of which is as follows:

[0110] ,

[0111] in, For marine biodiversity index, The marine life activity index, The number of marine species. Number of algal species Seabed biodiversity;

[0112] The first marine ecological assessment information includes a marine ecological restoration intensity index, and the specific calculation formula for the marine ecological restoration intensity index is as follows:

[0113] ,

[0114] in, The marine ecological restoration intensity index. For marine biodiversity index, The marine life activity index, The number of marine species. Number of algal species For seabed organism density, Let be the quantity value of the i-th type of algae.

[0115] It should be noted that the first marine ecological assessment information includes information on seabed organisms, shallow-sea animals, deep-sea animals, algae growth, marine biodiversity index, and marine ecological restoration intensity index. The marine biological activity index is the average of the shallow-sea biological activity index and the deep-sea biological activity index.

[0116] Figure 3 A flowchart illustrating the process of obtaining information on marine production plans is shown.

[0117] According to an embodiment of the present invention, the step of obtaining marine production plan information by analyzing marine production data based on the first marine ecological assessment information, and obtaining the second marine ecological assessment information after marine production, specifically includes:

[0118] S302, Obtain the marine biodiversity index and marine ecological restoration intensity index from the first marine ecological assessment information and make numerical judgments;

[0119] S304. If the marine biodiversity index is greater than the preset first threshold and the marine ecological restoration intensity index is greater than the preset second threshold, then the corresponding marine production sub-region will be marked as a priority fishing sub-region.

[0120] S306, identify all marine production sub-regions and obtain information on priority fishing sub-regions;

[0121] S308, based on the marine ecological restoration intensity index in the information of priority fishing sub-areas, production time is predicted to obtain production duration information;

[0122] S310 integrates information on priority fishing sub-areas and production duration to obtain marine production plan information.

[0123] It should be noted that if the marine biodiversity index is greater than the preset first threshold and the marine ecological restoration intensity index is greater than the preset second threshold, it means that the corresponding marine production sub-region has a good marine ecological environment and ecological restoration capacity. Prioritizing this marine production sub-region as a fishing area can effectively improve the efficiency of marine production and reasonably reduce the damage to the marine ecology caused by indiscriminate fishing.

[0124] According to an embodiment of the present invention, the step of importing the first marine ecological assessment information and the second marine ecological assessment information into an ecological analysis model for data analysis to obtain marine ecological regulation information specifically includes:

[0125] Marine production is carried out based on marine production plan information, and the second marine video data, second seabed image data, and second sonar feedback data after marine production are obtained for data analysis to obtain second marine ecological assessment information.

[0126] Import the first and second marine ecological assessment information into the ecological analysis model;

[0127] The ecological analysis model compares and analyzes the ecological assessments based on the first and second marine ecological assessment information, and obtains information on the regulation of marine production species, marine algae, and marine production time.

[0128] Marine ecological regulation information is obtained by merging information on the regulation of marine production species, marine algae, and marine production time.

[0129] It should be noted that the marine production species regulation information includes the regulation of releasing juvenile fish of production marine species, the marine production time regulation information includes specifically reducing or increasing the duration of production and fishing, and the marine algae regulation information specifically refers to regulating the release of a certain concentration of beneficial algae into the production sea area.

[0130] Figure 4 A block diagram of a data analysis-based evaluation system for transoceanic fisheries production according to the present invention is shown.

[0131] A second aspect of the present invention also provides a data analysis-based evaluation system 4 for transoceanic fisheries production. The system includes a memory 41 and a processor 42. The memory includes a data analysis-based evaluation method program for transoceanic fisheries production. When executed by the processor, the data analysis-based evaluation method program for transoceanic fisheries production implements the following steps:

[0132] The production sea area is divided into multiple marine production sub-regions;

[0133] Acquire marine video data, marine image data, and sonar feedback data for the marine production sub-region;

[0134] Data analysis was conducted based on marine video data, seabed image data, and sonar feedback data to obtain the first marine ecological assessment information.

[0135] Based on the first marine ecological assessment information, marine production data analysis is conducted to obtain marine production plan information, and the second marine ecological assessment information after marine production is obtained.

[0136] The first and second marine ecological assessment information were imported into the ecological analysis model for data analysis to obtain marine ecological regulation information.

[0137] It should be noted that the marine image data includes seabed image information and sea surface image information. Furthermore, the marine image data is acquired using a marine optical camera device, the marine video data is acquired using a marine video camera device, and the sonar feedback data is acquired using a marine sonar detection device.

[0138] According to an embodiment of the present invention, the step of dividing the production sea area into multiple marine production sub-regions specifically involves:

[0139] Construct a two-dimensional ocean map model;

[0140] Import the two-dimensional coordinate information of the production sea area into the marine two-dimensional map model to generate the two-dimensional map model of the production sea area.

[0141] Based on the size of the production sea area, the two-dimensional map model of the production sea area is divided into vertical and horizontal grids to form multiple marine production sub-regions. After the division, the area of ​​each sub-region is less than or equal to the preset maximum sub-region area.

[0142] Determine whether the sum of the areas of two adjacent marine production sub-regions is less than the preset maximum sub-region area;

[0143] If the size is smaller than the size, the two adjacent marine production sub-regions will be merged to form a new marine production sub-region.

[0144] It should be noted that, in the division into multiple marine production sub-regions, the area of ​​each sub-region after division must meet the condition that it is less than or equal to the area of ​​the preset maximum sub-region. After the division, due to the irregularity of the regions, the area of ​​some regions is relatively small. In this case, it is necessary to determine whether to merge them with the adjacent regions based on their area size.

[0145] According to an embodiment of the present invention, the acquisition of marine video data, marine image data, and sonar feedback data of the marine production sub-region includes, prior to:

[0146] Obtain information on marine species within the production area;

[0147] Initial image information of marine species is obtained by retrieving data from big data based on marine species information.

[0148] Image features are extracted from the initial image information of marine species, and feature comparison analysis is performed. Image data with low image feature recognition is removed to obtain marine species image training data.

[0149] Image feature data is obtained by extracting image feature values ​​from marine species image training data;

[0150] A marine organism identification model is constructed by importing marine species image training data and image feature data into the marine organism identification model for data training, resulting in a trained marine organism identification model.

[0151] According to an embodiment of the present invention, the step of performing data analysis based on marine video data, seabed image data, and sonar feedback data to obtain first marine ecological assessment information includes:

[0152] The ocean video data was acquired and divided according to seabed depth to obtain shallow sea layer video data and deep sea layer video data.

[0153] The shallow sea layer video data and deep sea layer video data are preprocessed, keyframes are extracted and data is organized to obtain a set of marine video keyframes.

[0154] The keyframe set of marine video and sonar feedback data are imported into the marine biometrics model for feature recognition, resulting in information on shallow-sea animals and deep-sea animals.

[0155] It should be noted that the shallow sea biological information includes shallow sea biological species information, shallow sea biological density information, and shallow sea biological activity index, while the deep sea biological information includes deep sea biological species information, deep sea biological density information, and deep sea biological activity index. The activity index is a specific quantitative value reflecting the activity of marine organisms, and the sonar feedback data is the main data reflecting the activity of marine animals in the monitored sea area.

[0156] According to an embodiment of the present invention, the step of performing data analysis based on marine video data, seabed image data, and sonar feedback data to obtain first marine ecological assessment information further includes:

[0157] Acquire seabed image data from ocean imagery;

[0158] The seabed image data is preprocessed and image feature values ​​are extracted to obtain seabed image feature data.

[0159] The feature data of the seabed image is imported into the marine organism recognition model for feature recognition to obtain information about seabed organisms.

[0160] It should be noted that the information on marine life includes both quantity and density information. These marine organisms are generally common marine animals, including fish, shrimp, shellfish, and other marine life.

[0161] According to an embodiment of the present invention, the step of performing data analysis based on marine video data, seabed image data, and sonar feedback data to obtain first marine ecological assessment information further includes:

[0162] Acquire images of historical marine algal reproduction;

[0163] Image preprocessing and color feature extraction were performed on images of historical marine algae reproduction to obtain color feature values ​​of historical algae images;

[0164] Obtain sea surface image information from ocean image data;

[0165] Image data preprocessing and color feature extraction are performed based on sea surface image information to obtain sea surface image color feature values;

[0166] By comparing and analyzing the color feature values ​​of sea surface images with those of historical algae images, algae growth information can be obtained.

[0167] It should be noted that the algal growth information includes algal growth density, algal species information, and algal quantity information.

[0168] According to an embodiment of the present invention, the step of performing data analysis based on marine video data, seabed image data, and sonar feedback data to obtain the first marine ecological assessment information specifically includes:

[0169] The first marine ecological assessment information includes a marine biodiversity index, the specific calculation formula of which is as follows:

[0170] ,

[0171] in, For marine biodiversity index, The marine life activity index, The number of marine species. Number of algal species Seabed biodiversity;

[0172] The first marine ecological assessment information includes a marine ecological restoration intensity index, and the specific calculation formula for the marine ecological restoration intensity index is as follows:

[0173] ,

[0174] in, The marine ecological restoration intensity index. For marine biodiversity index, The marine life activity index, The number of marine species. Number of algal species For seabed organism density, Let be the quantity value of the i-th type of algae.

[0175] It should be noted that the first marine ecological assessment information includes information on seabed organisms, shallow-sea animals, deep-sea animals, algae growth, marine biodiversity index, and marine ecological restoration intensity index. The marine biological activity index is the average of the shallow-sea biological activity index and the deep-sea biological activity index.

[0176] According to an embodiment of the present invention, the step of obtaining marine production plan information by analyzing marine production data based on the first marine ecological assessment information, and obtaining the second marine ecological assessment information after marine production, specifically includes:

[0177] Obtain the marine biodiversity index and marine ecological restoration intensity index from the first marine ecological assessment information and make numerical judgments;

[0178] If the marine biodiversity index is greater than the preset first threshold and the marine ecological restoration intensity index is greater than the preset second threshold, then the corresponding marine production sub-region will be marked as a priority fishing sub-region.

[0179] Identify all marine production sub-regions and obtain information on priority fishing sub-regions;

[0180] Production duration information is obtained by predicting production time based on the marine ecological restoration intensity index in the information of priority fishing sub-areas.

[0181] Information on priority fishing sub-areas and production duration is fused to obtain marine production plan information.

[0182] It should be noted that if the marine biodiversity index is greater than the preset first threshold and the marine ecological restoration intensity index is greater than the preset second threshold, it means that the corresponding marine production sub-region has a good marine ecological environment and ecological restoration capacity. Prioritizing this marine production sub-region as a fishing area can effectively improve the efficiency of marine production and reasonably reduce the damage to the marine ecology caused by indiscriminate fishing.

[0183] According to an embodiment of the present invention, the step of importing the first marine ecological assessment information and the second marine ecological assessment information into an ecological analysis model for data analysis to obtain marine ecological regulation information specifically includes:

[0184] Marine production is carried out based on marine production plan information, and the second marine video data, second seabed image data, and second sonar feedback data after marine production are obtained for data analysis to obtain second marine ecological assessment information.

[0185] Import the first and second marine ecological assessment information into the ecological analysis model;

[0186] The ecological analysis model compares and analyzes the ecological assessments based on the first and second marine ecological assessment information, and obtains information on the regulation of marine production species, marine algae, and marine production time.

[0187] Marine ecological regulation information is obtained by merging information on the regulation of marine production species, marine algae, and marine production time.

[0188] It should be noted that the marine production species regulation information includes the regulation of releasing juvenile fish of production marine species, the marine production time regulation information includes specifically reducing or increasing the duration of production and fishing, and the marine algae regulation information specifically refers to regulating the release of a certain concentration of beneficial algae into the production sea area.

[0189] A third aspect of the present invention also provides a computer-readable storage medium comprising a data analysis-based method program for evaluating transoceanic fishery production, wherein when the data analysis-based method program is executed by a processor, it implements the steps of the data analysis-based method for evaluating transoceanic fishery production as described in any of the preceding claims.

[0190] This invention discloses a data analysis-based method, system, and medium for evaluating transoceanic fisheries production. By comprehensively analyzing marine video data, marine image data, and sonar feedback data from sub-regions of marine production, this invention obtains ecologically significant marine ecological assessment information. Based on this assessment information, corresponding marine production plans are derived, enabling more efficient marine production, improving both efficiency and yield while reducing damage to the marine ecosystem. Furthermore, by acquiring secondary marine ecological assessment information and comparing ecological data before and after production, targeted ecological regulation information can be obtained for post-production ecological control, thereby achieving the goal of sustainable development in marine production.

[0191] In the several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components can be combined, or integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces, and the indirect coupling or communication connection between devices or units can be electrical, mechanical, or other forms.

[0192] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0193] In addition, in the various embodiments of the present invention, each functional unit can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0194] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0195] Alternatively, if the integrated units of this invention are implemented as software functional modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this invention, or the parts that contribute to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROM, RAM, magnetic disks, or optical disks.

[0196] The above description is merely a specific embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in the present invention should be included within the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be determined by the scope of the claims.

Claims

1. A data analysis-based method for evaluating transoceanic fishery production, characterized in that, include: The production sea area is divided into multiple marine production sub-regions; Acquire marine video data, marine image data, and sonar feedback data for the marine production sub-region; Data analysis was conducted based on marine video data, seabed image data, and sonar feedback data to obtain the first marine ecological assessment information. Based on the first marine ecological assessment information, marine production data analysis is conducted to obtain marine production plan information, and the second marine ecological assessment information after marine production is obtained. The first and second marine ecological assessment information are imported into the ecological analysis model for data analysis to obtain marine ecological regulation information. Marine imagery data includes images of the seabed and sea surface; Specifically, the process of analyzing marine video data, seabed image data, and sonar feedback data to obtain the first marine ecological assessment information involves: The first marine ecological assessment information includes a marine biodiversity index, the specific calculation formula of which is as follows: ， in, For marine biodiversity index, The marine life activity index, The number of marine species. Number of algal species Seabed biodiversity; The first marine ecological assessment information includes a marine ecological restoration intensity index, and the specific calculation formula for the marine ecological restoration intensity index is as follows: ， in, The marine ecological restoration intensity index. For marine biodiversity index, The marine life activity index, The number of marine species. Number of algal species For seabed organism density, Let i be the quantity value of the i-th type of algae; Specifically, the step of analyzing marine production data based on the first marine ecological assessment information to obtain marine production plan information, and acquiring the second marine ecological assessment information after marine production, involves: Obtain the marine biodiversity index and marine ecological restoration intensity index from the first marine ecological assessment information and make numerical judgments; If the marine biodiversity index is greater than the preset first threshold and the marine ecological restoration intensity index is greater than the preset second threshold, then the corresponding marine production sub-region will be marked as a priority fishing sub-region. Identify all marine production sub-regions and obtain information on priority fishing sub-regions; Production duration information is obtained by predicting production time based on the marine ecological restoration intensity index in the information of priority fishing sub-areas. Information on priority fishing sub-areas and production duration is fused to obtain marine production plan information; Specifically, the process of importing the first and second marine ecological assessment information into an ecological analysis model for data analysis to obtain marine ecological regulation information involves: Marine production is carried out based on marine production plan information, and the second marine video data, second seabed image data, and second sonar feedback data after marine production are obtained for data analysis to obtain second marine ecological assessment information. Import the first and second marine ecological assessment information into the ecological analysis model; The ecological analysis model compares and analyzes the ecological assessments based on the first and second marine ecological assessment information, and obtains information on the regulation of marine production species, marine algae, and marine production time. Marine ecological regulation information is obtained by merging information on the regulation of marine production species, marine algae, and marine production time.

2. The data analysis-based evaluation method for transoceanic fisheries production according to claim 1, characterized in that, The process of dividing the production sea area into multiple marine production sub-regions is as follows: Construct a two-dimensional ocean map model; Import the two-dimensional coordinate information of the production sea area into the marine two-dimensional map model to generate the two-dimensional map model of the production sea area. Based on the size of the production sea area, the two-dimensional map model of the production sea area is divided into vertical and horizontal grids to form multiple marine production sub-regions. After the division, the area of ​​each sub-region is less than or equal to the preset maximum sub-region area. Determine whether the sum of the areas of two adjacent marine production sub-regions is less than the preset maximum sub-region area; If the size is smaller than the size, the two adjacent marine production sub-regions will be merged to form a new marine production sub-region.

3. The data analysis-based evaluation method for transoceanic fisheries production according to claim 1, characterized in that, Acquiring marine video data, marine image data, and sonar feedback data for the marine production sub-region, including previously: Obtain information on marine species within the production area; Initial image information of marine species is obtained by retrieving data from big data based on marine species information. Image features are extracted from the initial image information of marine species, and feature comparison analysis is performed. Image data with low image feature recognition is removed to obtain marine species image training data. Image feature data is obtained by extracting image feature values ​​from marine species image training data; A marine organism identification model is constructed by importing marine species image training data and image feature data into the marine organism identification model for data training, resulting in a trained marine organism identification model.

4. The data analysis-based evaluation method for transoceanic fisheries production according to claim 1, characterized in that, The process of analyzing marine video data, seabed image data, and sonar feedback data to obtain the first marine ecological assessment information includes: The ocean video data was acquired and divided according to seabed depth to obtain shallow sea layer video data and deep sea layer video data. The shallow sea layer video data and deep sea layer video data are preprocessed, keyframes are extracted and data is organized to obtain a set of marine video keyframes. The keyframe set of marine video and sonar feedback data are imported into the marine biometrics model for feature recognition, resulting in information on shallow-sea animals and deep-sea animals.

5. The data analysis-based evaluation method for transoceanic fisheries production according to claim 4, characterized in that, The step of analyzing marine video data, seabed image data, and sonar feedback data to obtain the first marine ecological assessment information also includes: Acquire seabed image data from ocean imagery; The seabed image data is preprocessed and image feature values ​​are extracted to obtain seabed image feature data. The feature data of the seabed image is imported into the marine organism recognition model for feature recognition to obtain information about seabed organisms.

6. The data analysis-based evaluation method for transoceanic fisheries production according to claim 5, characterized in that, The step of analyzing marine video data, seabed image data, and sonar feedback data to obtain the first marine ecological assessment information also includes: Acquire images of historical marine algal reproduction; Image preprocessing and color feature extraction were performed on images of historical marine algae reproduction to obtain color feature values ​​of historical algae images; Obtain sea surface image information from ocean image data; Image data preprocessing and color feature extraction are performed based on sea surface image information to obtain sea surface image color feature values; By comparing and analyzing the color feature values ​​of sea surface images with those of historical algae images, algae growth information can be obtained.

7. A data analysis-based evaluation system for transoceanic fisheries production, characterized in that, The system includes a memory and a processor. The memory includes a data analysis-based method program for evaluating transoceanic fishery production. When the processor executes the data analysis-based method program for evaluating transoceanic fishery production, it implements the steps of the data analysis-based method for evaluating transoceanic fishery production as described in claim 1.

8. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a data analysis-based method program for evaluating transoceanic fishery production. When the data analysis-based method program is executed by a processor, it implements the steps of the data analysis-based method for evaluating transoceanic fishery production as described in any one of claims 1 to 6.

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