CN115359388A - Ocean fishery production evaluation method, system and medium based on data analysis - Google Patents
Ocean fishery production evaluation method, system and medium based on data analysis Download PDFInfo
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Abstract
The invention discloses a data analysis-based oceanic fishery production evaluation method, a data analysis-based oceanic fishery production evaluation system and a data analysis-based oceanic fishery production evaluation medium. In addition, by acquiring the second marine ecological evaluation information and comparing ecological data before and after production, targeted ecological regulation and control information can be acquired for ecological regulation and control after production, so that the aim of sustainable development of marine production is fulfilled.
Description
Technical Field
The invention relates to the field of data analysis, in particular to a method, a system and a medium for oceanic fishery production evaluation based on data analysis.
Background
The oceanic fishery is the oceanic fishery for fishing fishery resources in a special economic area in 200 seas of other countries, has the industrial characteristics of high investment and high risk, and has a slight profound influence on international fishery cooperation and foreign combat. The ocean fishing provides a large amount of fish food for human beings, enriches the dining culture of the people and provides nutrition for the body needs of the people. With the improvement of living standard of people, the demand of fishes is increased day by day, so that the fishing amount is increased, the marine fishes are sharply reduced due to excessive fishing, the living environment of the fishes is changed due to pollution of the marine environment, and the species of part of the fishes are killed. For the fishery industry, if the understanding of the marine ecological value is insufficient and the awareness of ecological safety is low, the marine ecological safety is often considered insufficiently in the marine development planning and construction, so that the marine ecological environment problem becomes more prominent.
How to improve the ecological safety awareness of fishery and how to construct an evaluation system of fishery production becomes an important problem of marine fishery. Therefore, a method for evaluating marine fishery production is needed.
Disclosure of Invention
In order to solve at least one technical problem, the invention provides oceanic fishery production evaluation based on data analysis.
The invention provides a data analysis-based oceanic fishery production evaluation method, which comprises the following steps:
carrying out regional division on a production sea area to obtain a plurality of ocean production sub-areas;
obtaining ocean video data, ocean sample image data and sonar feedback data of an ocean production sub-area;
performing data analysis according to the ocean video data, the ocean bottom image data and the sonar feedback data to obtain first ocean ecology evaluation information;
marine production data analysis is carried out according to the first marine ecological evaluation information to obtain marine production scheme information, and second marine ecological evaluation information after marine production is obtained;
and importing the first marine ecological evaluation information and the second marine ecological evaluation information into an ecological analysis model for data analysis to obtain marine ecological regulation and control information.
In this scheme, the production sea area is divided into regions to obtain a plurality of ocean production sub-regions, which specifically comprises:
constructing a marine two-dimensional map model;
importing the two-dimensional coordinate information of the production sea area into an ocean two-dimensional map model to generate a production sea area two-dimensional map model;
according to the area size of the production sea area, carrying out longitudinal and transverse grid division from the two-dimensional map model of the production sea area to divide the two-dimensional map model into a plurality of ocean production sub-areas, wherein the area of each sub-area after division is smaller than or equal to the preset maximum sub-area;
judging whether the sum of the areas of two adjacent ocean production sub-areas is smaller than the preset maximum sub-area or not;
and if the current value is less than the preset value, combining the two adjacent ocean production sub-areas to form a new ocean production sub-area.
In this scheme, obtain sub-regional ocean video data of ocean production, sea appearance image data, sonar feedback data, preceding including:
obtaining marine species information in a production sea area;
retrieving from the big data according to the marine species information to obtain marine species initial image information;
carrying out image feature extraction on the marine species initial image information, carrying out feature comparison analysis, and removing image data with low image feature recognition degree to obtain marine species image training data;
extracting image characteristic values of the marine species image training data to obtain image characteristic data;
and (3) constructing a marine organism recognition model, importing marine species image training data and image characteristic data into the marine organism recognition model for data training to obtain the trained marine organism recognition model.
In this scheme, carry out data analysis according to ocean video data, submarine image data, sonar feedback data, obtain first marine ecology evaluation information, include before:
obtaining ocean video data, and performing data division on the video data according to the depth of the sea bottom to obtain shallow sea layer video data and deep sea layer video data;
carrying out video data preprocessing on the shallow sea layer video data and the deep sea layer video data, extracting key frames and sorting data to obtain a sea video key frame set;
importing the ocean video key frame set and sonar feedback data into an ocean organism recognition model for feature recognition to obtain shallow sea animal information and deep sea animal information.
In this scheme, carry out data analysis according to ocean video data, submarine image data, sonar feedback data, obtain first marine ecology evaluation information, still include:
obtaining seabed image data in the sea sample image data;
preprocessing the image data of the submarine image and extracting an image characteristic value to obtain submarine image characteristic data;
and importing the feature data of the submarine image into a marine organism recognition model for feature recognition to obtain submarine organism information.
In this scheme, carry out data analysis according to ocean video data, submarine image data, sonar feedback data, obtain first marine ecology evaluation information, still include:
acquiring marine historical algae reproduction image information;
carrying out image preprocessing and color feature extraction on the marine historical algae reproduction image information to obtain a historical algae image color feature value;
acquiring sea surface image information in ocean image data;
carrying out image data preprocessing and color feature extraction according to sea surface image information to obtain a sea surface image color feature value;
and carrying out characteristic comparison analysis on the sea surface image color characteristic value and the historical algae image color characteristic value to obtain algae growth information.
In this scheme, carry out data analysis according to ocean video data, submarine image data, sonar feedback data, obtain first marine ecology evaluation information, specifically do:
the first marine ecological evaluation information comprises a marine organism diversity index, and the marine organism diversity index is specifically calculated according to the formula:
wherein Q is 1 Is an index of marine biodiversity, E A Is the index of marine biological activity, E K Is the number of marine species, Q A For the algal species, U P Is the density of the benthos;
the first marine ecology evaluation information comprises a marine ecology restoration strength index, and the marine ecology restoration strength index has a specific calculation formula as follows:
wherein Q is 2 For marine ecological restoration intensity index, Q 1 Is an index of marine biodiversity, E A Is the index of marine organism activity, E K Is the number of marine organism species, O A For the number of algae, U P Is the density of marine organisms, N i Is the quantitative value of the ith alga.
In this scheme, the marine production data analysis is performed according to the first marine ecology evaluation information to obtain marine production scheme information, and second marine ecology evaluation information after marine production is obtained, specifically:
obtaining a marine organism diversity index and a marine ecology restoration strength index in the first marine ecology evaluation information and carrying out numerical judgment;
if the marine organism diversity index is greater than a preset first threshold value and the marine ecological restoration strength index is greater than a preset second threshold value, marking the corresponding marine production sub-area as a preferential fishing sub-area;
judging all ocean production sub-areas and obtaining information of the preferential fishing sub-areas;
predicting the production time according to the marine ecological restoration strength index in the information of the preferential fishing subarea to obtain the production duration time information;
and carrying out information fusion on the information of the preferential fishing subarea and the production duration time information to obtain ocean production scheme information.
In this scheme, the importing the first marine ecological evaluation information and the second marine ecological evaluation information into an ecological analysis model for data analysis to obtain marine ecological regulation and control information specifically includes:
carrying out ocean production according to the ocean production scheme information, and acquiring second ocean video data, second seabed image data and second sonar feedback data after the ocean production to carry out data analysis so as to obtain second ocean ecological evaluation information;
importing the first marine ecological evaluation information and the second marine ecological evaluation information into an ecological analysis model;
the ecological analysis model carries out ecological evaluation comparative analysis according to the first marine ecological evaluation information and the second marine ecological evaluation information, and obtains marine production species regulation and control information, marine algae regulation and control information and marine production time regulation and control information;
and carrying out information combination on the marine production species regulation and control information, the marine algae regulation and control information and the marine production time regulation and control information to obtain marine ecological regulation and control information.
The second aspect of the present invention also provides a system for oceanic fishery production evaluation based on data analysis, comprising: the system comprises a memory and a processor, wherein the memory comprises a program of a oceanic fishery production evaluation method based on data analysis, and the program of the oceanic fishery production evaluation method based on data analysis realizes the following steps when being executed by the processor:
carrying out regional division on a production sea area to obtain a plurality of ocean production sub-areas;
acquiring ocean video data, ocean sample image data and sonar feedback data of an ocean production sub-area;
performing data analysis according to the ocean video data, the ocean bottom image data and the sonar feedback data to obtain first ocean ecology evaluation information;
marine production data analysis is carried out according to the first marine ecological evaluation information to obtain marine production scheme information, and second marine ecological evaluation information after marine production is obtained;
and importing the first marine ecological evaluation information and the second marine ecological evaluation information into an ecological analysis model for data analysis to obtain marine ecological regulation and control information.
The third aspect of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium includes a program for a oceanic fishery production evaluation method based on data analysis, and when the program for the oceanic fishery production evaluation method based on data analysis is executed by a processor, the program for the oceanic fishery production evaluation method based on data analysis realizes the steps of the oceanic fishery production evaluation method based on data analysis.
The invention discloses a data analysis-based oceanic fishery production evaluation method, a data analysis-based oceanic fishery production evaluation system and a data analysis-based oceanic fishery production evaluation medium. In addition, by acquiring the second marine ecological evaluation information and comparing ecological data before and after production, targeted ecological regulation and control information can be acquired for ecological regulation and control after production, so that the aim of sustainable development of marine production is fulfilled.
Drawings
FIG. 1 shows a flow chart of a method for oceanic fishery production evaluation based on data analysis of the present invention;
FIG. 2 shows a flow chart of the division of the ocean production sub-areas in the present invention;
FIG. 3 shows a flow chart of the present invention for obtaining information on marine production scenarios;
FIG. 4 shows a block diagram of a oceanic fishery production evaluation system based on data analysis of the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced otherwise than as specifically described herein and, therefore, the scope of the present invention is not limited by the specific embodiments disclosed below.
FIG. 1 shows a flow chart of a method for oceanic fishery production evaluation based on data analysis according to the present invention.
As shown in fig. 1, a first aspect of the present invention provides a method for oceanic fishery production evaluation based on data analysis, comprising:
s102, carrying out regional division on a production sea area to obtain a plurality of ocean production sub-areas;
s104, acquiring ocean video data, ocean sample image data and sonar feedback data of an ocean production sub-area;
s106, performing data analysis according to the ocean video data, the ocean bottom image data and the sonar feedback data to obtain first ocean ecology evaluation information;
s108, carrying out marine production data analysis according to the first marine ecology evaluation information to obtain marine production scheme information, and obtaining second marine ecology evaluation information after marine production;
and S110, importing the first marine ecological evaluation information and the second marine ecological evaluation information into an ecological analysis model for data analysis to obtain marine ecological regulation and control information.
It should be noted that the sea-like image data includes sea floor image information and sea surface image information. In addition, the sea-like image data is acquired by an ocean optical camera, the ocean video data is acquired by an ocean video camera, and the sonar feedback data is acquired by an ocean sonar detection device.
Fig. 2 shows a flow chart of the middle ocean production sub-region division.
According to the embodiment of the invention, the production sea area is divided into a plurality of ocean production sub-areas, specifically:
s202, constructing a marine two-dimensional map model;
s204, importing the two-dimensional coordinate information of the production sea area into a marine two-dimensional map model to generate a production sea area two-dimensional map model;
s206, according to the area size of the production sea area, carrying out vertical and horizontal grid division from the two-dimensional map model of the production sea area to divide the two-dimensional map model into a plurality of ocean production sub-areas, wherein the area of each sub-area after division is smaller than or equal to the preset maximum sub-area;
s208, judging whether the sum of the areas of two adjacent ocean production sub-areas is smaller than the preset maximum sub-area;
and S210, if the number of the ocean production subregions is smaller than the preset number, carrying out regional combination on the two adjacent ocean production subregions to form a new ocean production subregion.
It should be noted that, in the division into the plurality of ocean production sub-regions, the area of each divided sub-region needs to satisfy the condition that the area is less than or equal to the preset maximum sub-region area, and after the division is completed, due to the irregularity of the regions, the divided areas of some regions are small, and at this time, whether the area needs to be combined with the area of the adjacent region is judged.
According to the embodiment of the invention, the acquiring of the ocean video data, the ocean-like image data and the sonar feedback data of the ocean production sub-area comprises the following steps:
obtaining marine species information in a production sea area;
retrieving from the big data according to the marine species information to obtain marine species initial image information;
carrying out image feature extraction on the marine species initial image information, carrying out feature comparison analysis, and removing image data with low image feature recognition degree to obtain marine species image training data;
carrying out image characteristic value extraction on marine species image training data to obtain image characteristic data;
and (3) constructing a marine organism recognition model, importing marine species image training data and image characteristic data into the marine organism recognition model for data training to obtain the trained marine organism recognition model.
According to the embodiment of the invention, the data analysis is carried out according to the ocean video data, the ocean bottom image data and the sonar feedback data to obtain the first ocean ecology evaluation information, and the method comprises the following steps:
obtaining ocean video data, and performing data division on the video data according to the depth of the sea bottom to obtain shallow sea layer video data and deep sea layer video data;
carrying out video data preprocessing on the shallow sea layer video data and the deep sea layer video data, extracting key frames and sorting data to obtain a sea video key frame set;
importing the ocean video key frame set and sonar feedback data into an ocean organism recognition model for feature recognition to obtain shallow sea animal information and deep sea animal information.
The shallow sea biological information comprises shallow sea biological species information, shallow sea biological density information and a shallow sea biological activity index, the deep sea biological information comprises deep sea biological species information, deep sea biological density information and a 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 main data reflecting the activity of marine animals in a monitored sea area.
According to the embodiment of the invention, the data analysis is performed according to the ocean video data, the ocean bottom image data and the sonar feedback data to obtain the first ocean ecology evaluation information, and the method further comprises the following steps:
obtaining submarine image data in the sea sample image data;
preprocessing the image data of the submarine image and extracting an image characteristic value to obtain submarine image characteristic data;
and importing the feature data of the submarine image into a marine organism recognition model for feature recognition to obtain submarine organism information.
It should be noted that the benthic organism information includes benthic organism number information and density information. The benthos is generally common marine animals including fishes, shrimps, shells and other marine organisms.
According to the embodiment of the invention, the data analysis is performed according to the ocean video data, the ocean bottom image data and the sonar feedback data to obtain the first ocean ecology evaluation information, and the method further comprises the following steps:
acquiring marine historical algae reproduction image information;
carrying out image preprocessing and color feature extraction on the marine historical algae reproduction image information to obtain a historical algae image color feature value;
acquiring sea surface image information in marine image data;
preprocessing image data and extracting color features according to sea surface image information to obtain sea surface image color feature values;
and carrying out characteristic comparison analysis on the sea surface image color characteristic value and the historical algae image color characteristic value to obtain algae growth information.
The algae growth information includes algae growth density, algae species number information, and algae quantity information.
According to the embodiment of the invention, the data analysis is performed according to the ocean video data, the ocean bottom image data and the sonar feedback data to obtain the first ocean ecology evaluation information, which specifically comprises the following steps:
the first marine ecological evaluation information comprises a marine organism diversity index, and the marine organism diversity index is specifically calculated according to the formula:
wherein Q is 1 Is an index of marine biodiversity, E A Is the index of marine biological activity, E K Is the number of marine organism species, O A For the number of algae, U P Is the density of the benthos;
the first marine ecology evaluation information comprises a marine ecology restoration strength index, and the marine ecology restoration strength index has a specific calculation formula as follows:
wherein Q is 2 For marine ecological restoration intensity index, Q 1 Is an index of marine biodiversity, E A Is the index of marine biological activity, E K Is the number of marine organism species, O A For the number of algae, U P Is the density of marine organisms, N i Is the quantitative value of the ith alga.
The first marine ecology evaluation information includes marine benthic organism information, shallow sea animal information, deep sea animal information, algae growth information, marine biodiversity index, marine ecology restoration strength index, and the like. The marine organism activity index is the average value of the shallow sea organism activity index and the deep sea organism activity index.
FIG. 3 shows a flow chart for obtaining marine production scenario information.
According to the embodiment of the invention, the marine production data analysis is performed according to the first marine ecology evaluation information to obtain the marine production scheme information, and the second marine ecology evaluation information after marine production is obtained, specifically:
s302, obtaining a marine organism diversity index and a marine ecology restoration strength index in the first marine ecology evaluation information and carrying out numerical judgment;
s304, if the marine organism diversity index is larger than a preset first threshold value and the marine ecological restoration strength index is larger than a preset second threshold value, marking the corresponding marine production sub-area as a preferential fishing sub-area;
s306, judging all ocean production sub-areas and obtaining information of the preferential fishing sub-areas;
s308, predicting the production time according to the marine ecological restoration strength index in the information of the preferential fishing subarea to obtain the production duration information;
and S310, carrying out information fusion on the information of the preferential fishing subareas and the production duration information to obtain ocean production scheme information.
It should be noted that if the marine organism diversity index is greater than the preset first threshold and the marine ecology restoration strength index is greater than the preset second threshold, the marine ecology environment and the ecological restoration capability corresponding to the marine production sub-region are good, the efficiency of marine production can be effectively improved by taking the marine production sub-region as a preferential fishing region, and the damage to marine ecology caused by blind fishing can be reasonably reduced.
According to the embodiment of the invention, the first marine ecology evaluation information and the second marine ecology evaluation information are imported into an ecological analysis model for data analysis to obtain marine ecology regulation and control information, which specifically comprises the following steps:
carrying out ocean production according to the ocean production scheme information, and acquiring second ocean video data, second seabed image data and second sonar feedback data after the ocean production to carry out data analysis so as to obtain second ocean ecological evaluation information;
importing the first marine ecological evaluation information and the second marine ecological evaluation information into an ecological analysis model;
the ecological analysis model carries out ecological evaluation comparative analysis according to the first marine ecological evaluation information and the second marine ecological evaluation information, and obtains marine production species regulation and control information, marine algae regulation and control information and marine production time regulation and control information;
and carrying out information combination on the marine production species regulation and control information, the marine algae regulation and control information and the marine production time regulation and control information to obtain marine ecological regulation and control information.
The marine production species regulation and control information includes juvenile fish release regulation and control for producing marine species, the marine production time regulation and control information includes specific reduction or increase of duration of production fishing, and the marine algae regulation and control information specifically regulates and controls putting of beneficial algae of a certain concentration in a sea producing area.
FIG. 4 shows a block diagram of a oceanic fishery production evaluation system based on data analysis of the present invention.
The second aspect of the present invention also provides a data analysis-based oceanic fishery production evaluation system 4, comprising: a memory 41 and a processor 42, wherein the memory includes a program for ocean fishery production evaluation method based on data analysis, and the program for ocean fishery production evaluation method based on data analysis realizes the following steps when being executed by the processor:
carrying out regional division on a production sea area to obtain a plurality of ocean production sub-areas;
acquiring ocean video data, ocean sample image data and sonar feedback data of an ocean production sub-area;
performing data analysis according to the ocean video data, the ocean floor image data and the sonar feedback data to obtain first ocean ecological evaluation information;
marine production data analysis is carried out according to the first marine ecological evaluation information to obtain marine production scheme information, and second marine ecological evaluation information after marine production is obtained;
and importing the first marine ecological evaluation information and the second marine ecological evaluation information into an ecological analysis model for data analysis to obtain marine ecological regulation and control information.
It should be noted that the sea-like image data includes sea floor image information and sea surface image information. In addition, the sea-like image data is acquired by an ocean optical camera, the ocean video data is acquired by an ocean video camera, and the sonar feedback data is acquired by an ocean sonar detection device.
According to the embodiment of the invention, the production sea area is divided into a plurality of ocean production sub-areas, specifically:
constructing an ocean two-dimensional map model;
importing the two-dimensional coordinate information of the production sea area into an ocean two-dimensional map model to generate a production sea area two-dimensional map model;
according to the area of the production sea area, carrying out longitudinal and transverse grid division from a two-dimensional map model of the production sea area, dividing the two-dimensional map model into a plurality of ocean production sub-areas, wherein the area of each sub-area is smaller than or equal to the area of a preset maximum sub-area after division;
judging whether the sum of the areas of two adjacent ocean production subregions is smaller than the preset maximum subregion area or not;
and if the current value is less than the preset value, combining the two adjacent ocean production sub-areas to form a new ocean production sub-area.
It should be noted that, in the division into the plurality of ocean production sub-regions, the area of each divided sub-region needs to satisfy the condition that the area is less than or equal to the preset maximum sub-region area, and after the division is completed, due to the irregularity of the regions, the divided areas of some regions are small, and at this time, whether the area needs to be combined with the area of the adjacent region is judged.
According to the embodiment of the invention, the acquiring of the ocean video data, the ocean-like image data and the sonar feedback data of the ocean production sub-area comprises the following steps:
obtaining marine species information in a production sea area;
retrieving from the big data according to the marine species information to obtain marine species initial image information;
extracting image features of the marine species initial image information, performing feature comparison analysis, and removing image data with low image feature recognition degree to obtain marine species image training data;
carrying out image characteristic value extraction on marine species image training data to obtain image characteristic data;
and (3) constructing a marine organism recognition model, importing marine species image training data and image characteristic data into the marine organism recognition model for data training to obtain the trained marine organism recognition model.
According to the embodiment of the invention, the data analysis is performed according to the ocean video data, the ocean bottom image data and the sonar feedback data to obtain the first ocean ecology evaluation information, and the method comprises the following steps:
obtaining ocean video data, and performing data division on the video data according to the seabed depth to obtain shallow sea layer video data and deep sea layer video data;
carrying out video data preprocessing on the shallow sea layer video data and the deep sea layer video data, extracting key frames and sorting data to obtain a sea video key frame set;
importing the ocean video key frame set and sonar feedback data into an ocean organism recognition model for feature recognition to obtain shallow sea animal information and deep sea animal information.
The shallow sea biological information comprises shallow sea biological species information, shallow sea biological density information and a shallow sea biological activity index, the deep sea biological information comprises deep sea biological species information, deep sea biological density information and a 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 main data reflecting the activity of marine animals in a monitored sea area.
According to the embodiment of the invention, the data analysis is carried out according to the ocean video data, the ocean bottom image data and the sonar feedback data to obtain the first ocean ecology evaluation information, and the method further comprises the following steps:
obtaining submarine image data in the sea sample image data;
preprocessing the image data of the submarine image and extracting an image characteristic value to obtain submarine image characteristic data;
and importing the feature data of the submarine image into a marine organism recognition model for feature recognition to obtain submarine organism information.
It should be noted that the benthic organism information includes benthic organism number information and density information. The benthos is generally common marine animals including fishes, shrimps, shells and other marine organisms.
According to the embodiment of the invention, the data analysis is performed according to the ocean video data, the ocean bottom image data and the sonar feedback data to obtain the first ocean ecology evaluation information, and the method further comprises the following steps:
acquiring marine historical algae reproduction image information;
carrying out image preprocessing and color feature extraction on the marine historical algae reproduction image information to obtain a historical algae image color feature value;
acquiring sea surface image information in marine image data;
preprocessing image data and extracting color features according to sea surface image information to obtain sea surface image color feature values;
and carrying out characteristic comparison analysis on the sea surface image color characteristic value and the historical algae image color characteristic value to obtain algae growth information.
The algae growth information includes algae growth density, algae species number information, and algae quantity information.
According to the embodiment of the invention, the data analysis is performed according to the ocean video data, the ocean bottom image data and the sonar feedback data to obtain the first ocean ecology evaluation information, which specifically comprises the following steps:
the first marine ecology evaluation information comprises a marine organism diversity index, and the specific calculation formula of the marine organism diversity index is as follows:
wherein Q 1 Is an index of marine biodiversity, E A Is the index of marine biological activity, E K Is the number of marine organism species, O A For the algal species, U P Is the density of the benthos;
the first marine ecology evaluation information comprises a marine ecology restoration strength index, and the marine ecology restoration strength index has a specific calculation formula as follows:
wherein Q is 2 For marine ecological restoration intensity index, Q 1 Is an index of marine biodiversity, E A Is the index of marine biological activity, E K Is the number of marine organism species, O A For the algal species, U P Is the density of marine organisms, N i Is the quantitative value of the ith alga.
The first marine ecology evaluation information includes marine benthic organism information, shallow sea animal information, deep sea animal information, algae growth information, marine benthic diversity index, marine ecology restoration strength index, and the like. The marine organism activity index is the average value of the shallow sea organism activity index and the deep sea organism activity index.
According to the embodiment of the invention, the marine production data analysis is performed according to the first marine ecology evaluation information to obtain the marine production scheme information, and the second marine ecology evaluation information after marine production is obtained, specifically:
obtaining a marine organism diversity index and a marine ecology restoration strength index in the first marine ecology evaluation information and carrying out numerical judgment;
if the marine organism diversity index is greater than a preset first threshold value and the marine ecological restoration strength index is greater than a preset second threshold value, marking the corresponding marine production sub-area as a preferential fishing sub-area;
judging all ocean production subregions and obtaining information of preferential fishing subregions;
predicting the production time according to the marine ecological restoration strength index in the information of the preferential fishing subarea to obtain the production duration time information;
and carrying out information fusion on the information of the preferential fishing subarea and the production duration time information to obtain ocean production scheme information.
It should be noted that if the marine organism diversity index is greater than the preset first threshold and the marine ecology restoration strength index is greater than the preset second threshold, the marine ecology environment and the ecological restoration capability corresponding to the marine production sub-region are good, the efficiency of marine production can be effectively improved by taking the marine production sub-region as a preferential fishing region, and the damage to marine ecology caused by blind fishing can be reasonably reduced.
According to the embodiment of the invention, the first marine ecology evaluation information and the second marine ecology evaluation information are imported into the ecological analysis model for data analysis to obtain marine ecology regulation and control information, and the specific steps are as follows:
carrying out ocean production according to the ocean production scheme information, and acquiring second ocean video data, second seabed image data and second sonar feedback data after the ocean production to carry out data analysis so as to obtain second ocean ecological evaluation information;
importing the first marine ecological evaluation information and the second marine ecological evaluation information into an ecological analysis model;
the ecological analysis model carries out ecological evaluation comparative analysis according to the first marine ecological evaluation information and the second marine ecological evaluation information, and obtains marine production species regulation and control information, marine algae regulation and control information and marine production time regulation and control information;
and carrying out information combination on the marine production species regulation and control information, the marine algae regulation and control information and the marine production time regulation and control information to obtain marine ecological regulation and control information.
The marine production species regulation and control information includes juvenile fish release regulation and control for producing marine species, the marine production time regulation and control information includes specific reduction or increase of duration of production fishing, and the marine algae regulation and control information specifically regulates and controls putting of beneficial algae of a certain concentration in a sea producing area.
The third aspect of the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium includes a program for a oceanic fishery production evaluation method based on data analysis, and when the program for the oceanic fishery production evaluation method based on data analysis is executed by a processor, the program for the oceanic fishery production evaluation method based on data analysis realizes the steps of the oceanic fishery production evaluation method based on data analysis.
The invention discloses a method, a system and a medium for ocean-crossing fishery production evaluation based on data analysis. In addition, by acquiring the second marine ecological evaluation information and comparing ecological data before and after production, targeted ecological regulation and control information can be acquired for ecological regulation and control after production, so that the aim of sustainable development of marine production is fulfilled.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The above-described device embodiments are merely illustrative, for example, the division of the unit is only one logical function division, and there may be other division ways in actual implementation, such as: multiple units or components may be combined, or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the coupling, direct coupling or communication connection between the components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between the devices or units may be electrical, mechanical or other forms.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units; can be located in one place or distributed on a plurality of network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, all the functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately regarded as one unit, or two or more units may be integrated into one unit; the integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
Those of ordinary skill in the art will understand that: all or part of the steps of implementing the method embodiments may be implemented by hardware related to program instructions, and the program may be stored in a computer-readable storage medium, and when executed, executes the steps including the method embodiments; and the aforementioned storage medium includes: a mobile storage device, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and various media capable of storing program codes.
Alternatively, the integrated unit of the present invention may be stored in a computer-readable storage medium if it is implemented in the form of a software functional module and sold or used as a separate product. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or a part contributing to the prior art may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a removable storage device, a ROM, a RAM, a magnetic or optical disk, or various other media that can store program code.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope of the present invention, and shall cover the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (11)
1. A oceanic fishery production evaluation method based on data analysis is characterized by comprising the following steps:
carrying out regional division on a production sea area to obtain a plurality of ocean production sub-areas;
acquiring ocean video data, ocean sample image data and sonar feedback data of an ocean production sub-area;
performing data analysis according to the ocean video data, the ocean bottom image data and the sonar feedback data to obtain first ocean ecology evaluation information;
marine production data analysis is carried out according to the first marine ecological evaluation information to obtain marine production scheme information, and second marine ecological evaluation information after marine production is obtained;
and importing the first marine ecological evaluation information and the second marine ecological evaluation information into an ecological analysis model for data analysis to obtain marine ecological regulation and control information.
2. The oceanic fishery production evaluation method based on data analysis according to claim 1, wherein the production sea area is divided into a plurality of ocean production sub-areas, specifically:
constructing an ocean two-dimensional map model;
importing the two-dimensional coordinate information of the production sea area into an ocean two-dimensional map model to generate a production sea area two-dimensional map model;
according to the area size of the production sea area, carrying out longitudinal and transverse grid division from the two-dimensional map model of the production sea area to divide the two-dimensional map model into a plurality of ocean production sub-areas, wherein the area of each sub-area after division is smaller than or equal to the preset maximum sub-area;
judging whether the sum of the areas of two adjacent ocean production sub-areas is smaller than the preset maximum sub-area or not;
and if the current value is less than the preset value, combining the two adjacent ocean production sub-areas to form a new ocean production sub-area.
3. The oceanic fishery production evaluation method based on data analysis according to claim 1, wherein the acquisition of ocean video data, ocean-like image data and sonar feedback data of the ocean production sub-area comprises the following steps:
obtaining marine species information in a production sea area;
retrieving from the big data according to the marine species information to obtain marine species initial image information;
carrying out image feature extraction on the marine species initial image information, carrying out feature comparison analysis, and removing image data with low image feature recognition degree to obtain marine species image training data;
carrying out image characteristic value extraction on marine species image training data to obtain image characteristic data;
and (3) constructing a marine organism recognition model, importing marine species image training data and image characteristic data into the marine organism recognition model for data training to obtain the trained marine organism recognition model.
4. The oceanic fishery production evaluation method based on data analysis according to claim 1, wherein the data analysis is performed according to ocean video data, ocean bottom image data and sonar feedback data to obtain first ocean ecology evaluation information, and the method comprises the following steps:
obtaining ocean video data, and performing data division on the video data according to the depth of the sea bottom to obtain shallow sea layer video data and deep sea layer video data;
carrying out video data preprocessing on the shallow sea layer video data and the deep sea layer video data, extracting key frames and sorting data to obtain a marine video key frame set;
importing the ocean video key frame set and sonar feedback data into an ocean organism recognition model for feature recognition to obtain shallow sea animal information and deep sea animal information.
5. The method for evaluating the production of the marine fishery based on the data analysis according to claim 4, wherein the data analysis is performed according to the marine video data, the submarine image data and the sonar feedback data to obtain the first marine ecological evaluation information, and further comprising:
obtaining submarine image data in the sea sample image data;
preprocessing the image data of the submarine image and extracting an image characteristic value to obtain submarine image characteristic data;
and importing the feature data of the submarine image into a marine organism recognition model for feature recognition to obtain submarine organism information.
6. The oceanic fishery production evaluation method based on data analysis according to claim 5, wherein the data analysis is performed according to ocean video data, ocean bottom image data and sonar feedback data to obtain first ocean ecological evaluation information, further comprising:
obtaining marine historical algae reproduction image information;
carrying out image preprocessing and color feature extraction on the marine historical algae reproduction image information to obtain a historical algae image color feature value;
acquiring sea surface image information in ocean image data;
preprocessing image data and extracting color features according to sea surface image information to obtain sea surface image color feature values;
and carrying out characteristic comparison analysis on the sea surface image color characteristic value and the historical algae image color characteristic value to obtain algae growth information.
7. The oceanic fishery production evaluation method based on data analysis according to claim 6, wherein the data analysis is performed according to ocean video data, ocean bottom image data and sonar feedback data to obtain first ocean ecology evaluation information, and specifically comprises the following steps:
the first marine ecological evaluation information comprises a marine organism diversity index, and the marine organism diversity index is specifically calculated according to the formula:
wherein Q is 1 Is an index of marine biodiversity, E A Is the index of marine organism activity, E K Is the number of marine organism species, O A For the algal species, U P Is the density of the benthos;
the first marine ecology evaluation information comprises a marine ecology restoration strength index, and the marine ecology restoration strength index has a specific calculation formula as follows:
wherein Q 2 For marine ecological restoration intensity index, Q 1 Is an index of marine biodiversity, E A Is the index of marine biological activity, E K Is the number of marine organism species, O A For the number of algae, U P Is the density of marine organisms, N i Is the quantitative value of the ith algae.
8. The data analysis-based oceanic fishery production evaluation method according to claim 7, wherein the marine production data analysis is performed according to the first marine ecology evaluation information to obtain marine production scheme information, and the second marine ecology evaluation information after marine production is obtained, specifically:
obtaining a marine organism diversity index and a marine ecology restoration strength index in the first marine ecology evaluation information and carrying out numerical judgment;
if the marine organism diversity index is greater than a preset first threshold value and the marine ecological restoration strength index is greater than a preset second threshold value, marking the corresponding marine production sub-area as a preferential fishing sub-area;
judging all ocean production subregions and obtaining information of preferential fishing subregions;
predicting the production time according to the marine ecological restoration strength index in the information of the preferential fishing subarea to obtain the production duration time information;
and carrying out information fusion on the information of the preferential fishing subarea and the production duration time information to obtain ocean production scheme information.
9. The data analysis-based oceanic fishery production evaluation method according to claim 8, wherein the first marine ecology evaluation information and the second marine ecology evaluation information are imported into an ecological analysis model for data analysis to obtain marine ecology regulation and control information, and specifically comprises:
carrying out marine production according to the marine production scheme information, and acquiring second marine video data, second submarine image data and second sonar feedback data after the marine production to carry out data analysis so as to obtain second marine ecological evaluation information;
importing the first marine ecological evaluation information and the second marine ecological evaluation information into an ecological analysis model;
the ecological analysis model carries out ecological evaluation comparative analysis according to the first marine ecological evaluation information and the second marine ecological evaluation information, and obtains marine production species regulation and control information, marine algae regulation and control information and marine production time regulation and control information;
and combining the marine production species regulation and control information, the marine algae regulation and control information and the marine production time regulation and control information to obtain marine ecology regulation and control information.
10. A system for oceanic fishery production evaluation based on data analysis, the system comprising: the system comprises a memory and a processor, wherein the memory comprises a program of a oceanic fishery production evaluation method based on data analysis, and the program of the oceanic fishery production evaluation method based on data analysis realizes the following steps when being executed by the processor:
carrying out regional division on a production sea area to obtain a plurality of ocean production sub-areas;
acquiring ocean video data, ocean sample image data and sonar feedback data of an ocean production sub-area;
performing data analysis according to the ocean video data, the ocean floor image data and the sonar feedback data to obtain first ocean ecological evaluation information;
marine production data analysis is carried out according to the first marine ecological evaluation information to obtain marine production scheme information, and second marine ecological evaluation information after marine production is obtained;
and importing the first marine ecological evaluation information and the second marine ecological evaluation information into an ecological analysis model for data analysis to obtain marine ecological regulation and control information.
11. A computer-readable storage medium, characterized in that the computer-readable storage medium comprises a data analysis-based oceanic fishery production evaluation method program, which when executed by a processor, implements the steps of the data analysis-based oceanic fishery production evaluation method according to any one of claims 1 to 9.
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