Intelligent marine organism monitoring method and system

Abstract

The invention relates to the technical field of marine monitoring, and discloses an intelligent marine organism monitoring method and system, the method is applied to a marine resource management platform, the marine resource management platform is constructed based on a digital twinborn technology, and the method comprises the following steps: determining a biological monitoring demand corresponding to a target area; collecting sensing data of the target area about marine organisms; according to the sensing data, determining a marine organism recognition result corresponding to the target area; according to biological monitoring requirements, analyzing the marine organism recognition result to obtain a marine organism analysis result corresponding to the target area; the marine organism analysis result is used for representing the growth and / or activity and / or distribution condition of the marine organisms in the target area. Therefore, the monitoring comprehensiveness and the monitoring accuracy of marine organisms can be improved, so that the management comprehensiveness and the management accuracy of the marine ranch are improved.

Description

Technical Field

[0001] The present invention relates to the field of marine monitoring technology, and in particular to an intelligent monitoring method and system for marine organisms. Background Art

[0002] Marine ranching refers to the use of large-scale fishery facilities and a systematic management system in a certain sea area, utilizing the natural marine ecological environment to gather artificially released economic marine organisms, and carry out planned and purposeful sea stocking of marine resources such as fish, shrimp, shellfish, and algae.

[0003] In the existing technology, the real-time monitoring system constructed by modern marine ranches can usually only monitor the growth activities of fish organisms, but it is difficult to monitor the growth activities of other types of marine organisms, which makes it difficult to comprehensively manage the marine biological resources of marine ranches and is not conducive to the sustainable development of marine ecosystems.

[0004] Therefore, it is particularly important to propose a technical solution that can improve the comprehensiveness and accuracy of monitoring of marine organisms and thus improve the comprehensiveness and accuracy of management of marine ranches. Summary of the invention

[0005] The present invention provides an intelligent marine life monitoring method and system, which can improve the comprehensiveness and accuracy of marine life monitoring, thereby improving the comprehensiveness and accuracy of marine ranch management.

[0006] In order to solve the above technical problems, the first aspect of the present invention discloses an intelligent monitoring method for marine organisms, which is applied to a marine resource management platform, which is a management platform built based on digital twin technology. The method includes: Determine the biological monitoring needs corresponding to the target area; Collecting sensor data about marine life in the target area; Determining the marine life identification result corresponding to the target area according to the sensing data; According to the biological monitoring needs, the marine biological identification results are analyzed to obtain the marine biological analysis results corresponding to the target area; the marine biological analysis results are used to represent the growth and / or activity and / or distribution of marine organisms in the target area.

[0007] As an optional implementation, in the first aspect of the present invention, the determining of the biological monitoring requirements corresponding to the target area includes: Obtaining at least one target biological species to be monitored in the target area and a management target corresponding to each target biological species; all the target biological species include a combination of one or more of fish, shrimp, shellfish and algae; the management target includes aquaculture targets and / or protection targets; According to the management objectives corresponding to each of the target biological species, the biological monitoring needs corresponding to the target area are determined; the biological monitoring needs include the monitoring needs corresponding to each of the target biological species; the monitoring needs include one or more combinations of growth monitoring needs, health monitoring needs, activity monitoring needs, population size monitoring needs and cluster stress behavior dynamic monitoring needs.

[0008] As an optional implementation, in the first aspect of the present invention, determining the marine life identification result corresponding to the target area according to the sensor data includes: Based on a pre-trained improved target detection algorithm, a feature extraction operation is performed on the sensor data to obtain feature information corresponding to the sensor data; a feature fusion operation is performed on the feature information to obtain multi-scale feature fusion information corresponding to the sensor data; the improved target detection algorithm is a target detection algorithm for multiple target biological species; Based on the multi-scale feature fusion information, the marine life identification results in the target area are determined; the marine life identification results include a combination of one or more target marine life of at least one target biological species, the biological distribution location of each target marine life, and the activity status information of each target marine life.

[0009] As an optional implementation, in the first aspect of the present invention, analyzing the marine organism identification results according to the biological monitoring requirements to obtain the marine organism analysis results corresponding to the target area includes: According to the marine biological identification results, the regional monitoring results of the biological monitoring needs in the target area are counted; the regional monitoring results include the biological monitoring results corresponding to each target biological species; the biological monitoring results corresponding to each target biological species include the number of organisms of the target biological species, the distribution location of the organisms of the target biological species, the appearance information of the individual organisms of the target biological species, and the activity information of the individual organisms of the target biological species; For each of the target biological species, determining a quantity distribution analysis result of the target biological species according to the biological quantity and the biological distribution location; For each of the target biological species, a growth activity analysis result of the target biological species is determined according to the biological individual appearance information and / or the biological individual activity information; the growth activity analysis result includes a combination of one or more of a growth condition analysis result, an activity analysis result, a health analysis result and a group behavior analysis result; Wherein, the marine organism analysis results include the quantity distribution analysis results and / or the growth activity analysis results.

[0010] As an optional embodiment, in the first aspect of the present invention, for each of the target biological species, determining the quantitative distribution analysis result of the target biological species according to the biological quantity and the biological distribution position includes: Determining the quantity distribution information of the target biological species according to the quantity of the biological species and the distribution location of the biological species; According to the quantity distribution information, determining whether the target biological species meets a preset balanced distribution condition; When it is determined that the target biological species meets the balanced distribution condition, determining that the result of the quantitative distribution analysis of the target biological species is that the target biological species is evenly distributed within the target area; When it is determined that the target biological species does not satisfy the balanced distribution condition, the result of the quantitative distribution analysis of the target biological species is determined to be that the target biological species is unbalancedly distributed in the target area.

[0011] As an optional embodiment, in the first aspect of the present invention, the method further comprises: Determining the management needs of users of the marine resource management platform for the target area; the management needs include one or more combinations of marine organism breeding needs, marine organism protection needs, marine organism density planning needs, and marine environment regulation needs; Analyzing the development trend of marine life in the target area according to the marine life analysis results; Generate biological management measures corresponding to the target area based on the management needs and the development trend of the marine organisms.

[0012] As an optional embodiment, in the first aspect of the present invention, the method further comprises: Detecting whether there is an ecological threat record in the target area; the ecological threat record includes non-target biological invasion information and / or environmental deterioration information; When it is detected that the target area has the ecological threat record, determining the environmental monitoring requirements corresponding to the target area according to the ecological threat record; Determine non-target organism identification results in the target area according to the sensing data and the environmental monitoring requirements; the non-target organism identification results include environmental identification results and / or non-target marine organisms of non-target organism types; Analyze the non-target biometric recognition results according to the management requirements to obtain environmental analysis results corresponding to the target area; Wherein, generating management measures for the marine biological analysis results according to the management requirements includes: Management measures targeting the marine biological analysis results are generated according to the management needs and the environmental analysis results.

[0013] The second aspect of the present invention discloses an intelligent monitoring system for marine life, the system is applied to a marine resource management platform, the marine resource management platform is a management platform built based on digital twin technology, and the system includes: A determination module is used to determine the biological monitoring needs corresponding to the target area; A collection module, used for collecting sensor data about marine life in the target area; The determination module is further used to determine the marine life identification result corresponding to the target area according to the sensing data; The analysis module is used to analyze the marine organism identification results according to the biological monitoring needs to obtain the marine organism analysis results corresponding to the target area; the marine organism analysis results are used to represent the growth and / or activity and / or distribution of marine organisms in the target area.

[0014] As an optional implementation, in the second aspect of the present invention, the specific manner in which the determination module determines the biological monitoring requirements corresponding to the target area includes: Obtaining at least one target biological species to be monitored in the target area and a management target corresponding to each target biological species; all the target biological species include a combination of one or more of fish, shrimp, shellfish and algae; the management target includes aquaculture targets and / or protection targets; According to the management objectives corresponding to each of the target biological species, the biological monitoring needs corresponding to the target area are determined; the biological monitoring needs include the monitoring needs corresponding to each of the target biological species; the monitoring needs include one or more combinations of growth monitoring needs, health monitoring needs, activity monitoring needs, population size monitoring needs and cluster stress behavior dynamic monitoring needs.

[0015] As an optional implementation, in the second aspect of the present invention, the specific manner in which the determination module determines the marine life identification result corresponding to the target area according to the sensor data includes: Based on a pre-trained improved target detection algorithm, a feature extraction operation is performed on the sensor data to obtain feature information corresponding to the sensor data; a feature fusion operation is performed on the feature information to obtain multi-scale feature fusion information corresponding to the sensor data; the improved target detection algorithm is a target detection algorithm for multiple target biological species; Based on the multi-scale feature fusion information, the marine life identification results in the target area are determined; the marine life identification results include a combination of one or more target marine life of at least one target biological species, the biological distribution location of each target marine life, and the activity status information of each target marine life.

[0016] As an optional implementation, in the second aspect of the present invention, the analysis module analyzes the marine organism identification result according to the biological monitoring requirements, and the specific manner of obtaining the marine organism analysis result corresponding to the target area includes: According to the marine biological identification results, the regional monitoring results of the biological monitoring needs in the target area are counted; the regional monitoring results include the biological monitoring results corresponding to each target biological species; the biological monitoring results corresponding to each target biological species include the number of organisms of the target biological species, the distribution location of the organisms of the target biological species, the appearance information of the individual organisms of the target biological species, and the activity information of the individual organisms of the target biological species; For each of the target biological species, determining a quantity distribution analysis result of the target biological species according to the biological quantity and the biological distribution location; For each of the target biological species, a growth activity analysis result of the target biological species is determined according to the biological individual appearance information and / or the biological individual activity information; the growth activity analysis result includes a combination of one or more of a growth condition analysis result, an activity analysis result, a health analysis result and a group behavior analysis result; Wherein, the marine organism analysis results include the quantity distribution analysis results and / or the growth activity analysis results.

[0017] As an optional implementation, in the second aspect of the present invention, for each of the target biological species, the specific manner in which the analysis module determines the result of the quantitative distribution analysis of the target biological species according to the biological quantity and the biological distribution location includes: Determining the quantity distribution information of the target biological species according to the quantity of the biological species and the distribution location of the biological species; According to the quantity distribution information, determining whether the target biological species meets a preset balanced distribution condition; When it is determined that the target biological species meets the balanced distribution condition, determining that the result of the quantitative distribution analysis of the target biological species is that the target biological species is evenly distributed within the target area; When it is determined that the target biological species does not satisfy the balanced distribution condition, the result of the quantitative distribution analysis of the target biological species is determined to be that the target biological species is unbalancedly distributed in the target area.

[0018] As an optional implementation, in the second aspect of the present invention, the determination module is further used to determine the management needs of the user of the marine resource management platform for the target area; the management needs include one or more combinations of marine organism breeding needs, marine organism protection needs, marine organism density planning needs and marine environment regulation needs; The analysis module is further used to analyze the development trend of marine life in the target area according to the marine life analysis results; And, the system further comprises: A generation module is used to generate biological management measures corresponding to the target area according to the management needs and the development trend of the marine organisms.

[0019] As an optional implementation, in the second aspect of the present invention, the system further includes: A detection module, used to detect whether there is an ecological threat record in the target area; the ecological threat record includes non-target biological invasion information and / or environmental deterioration information; The determination module is further configured to determine the environmental monitoring requirements corresponding to the target area according to the ecological threat record when the ecological threat record is detected in the target area; The determination module is further used to determine non-target biological identification results in the target area according to the sensing data and the environmental monitoring requirements; the non-target biological identification results include environmental identification results and / or non-target marine organisms of non-target biological species; The analysis module is further used to analyze the non-target biometric recognition result according to the management requirements to obtain the environmental analysis result corresponding to the target area; The specific manner in which the generation module generates management measures for the marine biological analysis results according to the management requirements includes: Management measures targeting the marine biological analysis results are generated according to the management needs and the environmental analysis results.

[0020] The third aspect of the present invention discloses another intelligent monitoring system for marine life, the system comprising: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute part or all of the steps of the intelligent monitoring method for marine organisms disclosed in the first aspect of the present invention.

[0021] The fourth aspect of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute some or all steps of the intelligent monitoring method for marine organisms disclosed in the first aspect of the present invention.

[0022] Compared with the prior art, the present invention has the following beneficial effects: In the present invention, the sensor data about marine life in the target area is collected; the biological monitoring needs corresponding to the target area are determined; according to the sensor data, the marine life identification results corresponding to the target area are determined; according to the biological monitoring needs, the marine life identification results are analyzed to obtain the marine life analysis results corresponding to the target area; the marine life analysis results are used to represent the growth and / or activity and / or distribution of marine life in the target area. It can be seen that the implementation of the present invention can first determine the biological monitoring needs of the target area and collect the sensor data about marine life in the area, then identify the marine life identification results according to the sensor data, and then analyze the marine life identification results according to the biological monitoring needs to obtain the marine life analysis results, and can realize intelligent monitoring of multiple types of marine life in the marine area based on the marine resource management platform, which is conducive to real-time monitoring of the growth and activity of marine life in the target area, thereby improving the comprehensiveness and accuracy of marine life monitoring, so as to improve the analysis accuracy of the growth and activity of marine life in the marine area, thereby facilitating the intelligent management of the marine area, thereby facilitating the comprehensiveness and accuracy of marine ranch management. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0024] Figure 1 It is a flow chart of an intelligent monitoring method for marine organisms disclosed in an embodiment of the present invention; Figure 2 It is a flow chart of another intelligent monitoring method for marine organisms disclosed in an embodiment of the present invention; Figure 3 It is a structural schematic diagram of an intelligent monitoring system for marine organisms disclosed in an embodiment of the present invention; Figure 4 It is a structural schematic diagram of another intelligent monitoring system for marine organisms disclosed in an embodiment of the present invention; Figure 5 It is a structural schematic diagram of another intelligent monitoring system for marine life disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0026] The terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or end including a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or ends.

[0027] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0028] The present invention discloses an intelligent monitoring method and system for marine life, which can first determine the biological monitoring needs of the target area and collect sensor data about the marine life in the area, then identify the marine life identification results according to the sensor data, and then analyze the marine life identification results according to the biological monitoring needs to obtain the marine life analysis results, which can realize intelligent monitoring of multiple types of marine life in the marine area based on the marine resource management platform, which is conducive to real-time monitoring of the growth and activity of marine life in the target area, thereby improving the comprehensiveness and accuracy of marine life monitoring, so as to improve the analysis accuracy of the growth and activity of marine life in the marine area, thereby facilitating the intelligent management of the marine area, thereby facilitating the comprehensiveness and accuracy of marine ranch management. The following are detailed descriptions.

[0029] Embodiment 1 See also Figure 1 , Figure 1 1 is a flow chart of an intelligent marine life monitoring method disclosed in an embodiment of the present invention. Figure 1 The described intelligent monitoring method of marine life can be applied to an intelligent monitoring system of marine life, and the intelligent monitoring system may include one of an intelligent monitoring terminal, an intelligent monitoring device, an intelligent monitoring apparatus and a server, wherein the server may include a local server or a cloud server, which is not limited in the embodiments of the present invention; the method can also be applied to a marine resource management platform, wherein the marine resource management platform may be a management platform constructed based on digital twin technology, which is not limited in the embodiments of the present invention. Figure 1 As shown, the intelligent monitoring method of marine organisms may include the following operations: 101. Determine the biological monitoring needs corresponding to the target area.

[0030] In the embodiment of the present invention, the target area may be any area in the ocean; optionally, the target area may be a marine ranch area, which is not limited in the embodiment of the present invention.

[0031] 102. Collect sensor data about marine life in the target area.

[0032] In an embodiment of the present invention, optionally, sensor data about marine life in the target area can be collected based on a sensor group. Further optionally, the sensor group may include at least one sensor; wherein, exemplarily, the sensor data may include a combination of one or more of image data, video data, distance data and temperature data, which is not limited in the embodiment of the present invention.

[0033] 103. Based on the sensor data, determine the marine life identification results corresponding to the target area.

[0034] It should be noted that there is no order relationship between step 101 and any of steps 102-103, that is, step 101 can occur before or after any of steps 102-103 or simultaneously with any of steps 102-103, and the embodiment of the present invention is not limited thereto.

[0035] 104. According to the biological monitoring needs, analyze the marine biological identification results and obtain the marine biological analysis results corresponding to the target area.

[0036] In the embodiment of the present invention, the marine life analysis result is used to indicate the growth and / or activity and / or distribution of the marine life in the target area.

[0037] It can be seen that the implementation of the method described in the embodiment of the present invention can first determine the biological monitoring needs of the target area and collect sensor data about marine organisms in the area, and then identify the marine organism identification results based on the sensor data, and then analyze the marine organism identification results according to the biological monitoring needs to obtain the marine organism analysis results. It can realize intelligent monitoring of various types of marine organisms in the marine area based on the marine resource management platform, which is conducive to real-time monitoring of the growth and activities of marine organisms in the target area, thereby improving the comprehensiveness and accuracy of marine organism monitoring, so as to improve the accuracy of analysis of the growth and activities of marine organisms in the marine area, which is conducive to intelligent management of marine areas, and thus is conducive to improving the comprehensiveness and accuracy of marine ranch management.

[0038] In an optional embodiment, determining the biological monitoring requirements corresponding to the target area may include the following operations: Obtain at least one target biological species to be monitored in the target area and the corresponding management objectives for each target biological species; all target biological species include one or more combinations of fish, shrimp, shellfish and algae; management objectives include aquaculture objectives and / or protection objectives; Determine the biological monitoring needs corresponding to the target area according to the management objectives corresponding to each target biological species; biological monitoring needs include the monitoring needs corresponding to each target biological species; monitoring needs include one or more combinations of growth monitoring needs, health monitoring needs, activity monitoring needs, population monitoring needs, and dynamic monitoring needs of cluster stress behavior. Among them, the target biological species can be the biological species cultivated / required to be protected in the target area, which is not limited in the embodiment of the present invention; illustratively, the target biological species can include sea cucumbers, sea urchins, scallops and starfish, which are not limited in the embodiment of the present invention.

[0039] Among them, exemplarily, the breeding goals may include a combination of one or more of the breeding scale goals, breeding quantity goals and breeding density goals, which are not limited in the embodiments of the present invention; exemplarily, the protection goals may include a combination of one or more of the growth quantity goals, population health goals and population activity goals, which are not limited in the embodiments of the present invention.

[0040] It can be seen that this optional embodiment can determine the biological monitoring needs corresponding to the target area based on the acquired target biological species that need to be monitored in the target area and the corresponding management objectives, and can improve the accuracy of determining the target biological species, thereby improving the accuracy of determining the biological monitoring needs on the basis of improving the accuracy of the analysis of the biological management objectives, which is conducive to a subsequent more accurate analysis of the growth of marine organisms in the target area; and, by determining a variety of biological monitoring needs, the comprehensiveness and determination flexibility of the biological monitoring needs can be improved, which is conducive to more comprehensive monitoring of marine organisms and improving the comprehensiveness of the marine biological analysis results.

[0041] In this optional embodiment, optionally, determining the marine organism recognition result corresponding to the target area according to the sensing data may include the following operations: Based on the pre-trained improved target detection algorithm, a feature extraction operation is performed on the sensor data to obtain feature information corresponding to the sensor data; a feature fusion operation is performed on the feature information to obtain multi-scale feature fusion information corresponding to the sensor data; the improved target detection algorithm is a target detection algorithm for multiple target biological species; Based on the multi-scale feature fusion information, the marine life identification results in the target area are determined; the marine life identification results include a combination of one or more of the target marine life of at least one target biological species, the biological distribution location of each target marine life, and the activity status information of each target marine life.

[0042] Among them, illustratively, the above-mentioned pre-trained improved target detection algorithm can be an algorithm improved based on the YOLO series algorithm, or it can be other target detection algorithms, which is not limited in the embodiment of the present invention.

[0043] It can be seen that this optional embodiment can also perform feature extraction on the sensor data based on the improved target detection algorithm to obtain feature information, and then perform weighted fusion on feature information of different scales to obtain features of large, medium and small scales. The fused features are finally decoupled by the detection head, and then the marine life identification results in the target area are obtained based on the decoupled feature information. Using the target detection algorithm for the target biological species can improve the accuracy of feature extraction on the target biological species, which is beneficial to improve the identification accuracy of organisms of the target biological species, and further beneficial to improve the accuracy and reliability of the marine life identification results.

[0044] In another optional embodiment, according to biological monitoring requirements, analyzing the marine biological identification results to obtain the marine biological analysis results corresponding to the target area may include the following operations: Based on the results of marine biological identification, the regional monitoring results of biological monitoring needs in the target area are counted; the regional monitoring results include the biological monitoring results corresponding to each target biological species; the biological monitoring results corresponding to each target biological species include the number of organisms of the target biological species, the distribution location of the organisms of the target biological species, the appearance information of the individual organisms of the target biological species, and the activity information of the individual organisms of the target biological species; For each target biological species, determine the quantitative distribution analysis results of the target biological species based on the biological quantity and biological distribution location; For each target biological species, the growth activity analysis result of the target biological species is determined based on the biological individual appearance information and / or biological individual activity information; the growth activity analysis result includes a combination of one or more of a growth condition analysis result, an activity analysis result, a health analysis result and a group behavior analysis result; The marine organism analysis results include quantity distribution analysis results and / or growth activity analysis results.

[0045] Among them, optionally, the appearance information of the biological individual can be a combination of one or more of individual size, individual color, and individual shape, which is not limited in the embodiment of the present invention; the activity information of the biological individual can include a combination of one or more of individual activity range, individual activity frequency, and individual activity time period.

[0046] Among them, the quantitative distribution analysis results are used to indicate whether the biological individuals of the target biological species are evenly distributed in the target area, and the growth activity analysis results are used to indicate whether the growth / health / activity of the biological individuals of the target biological species are within the normal range corresponding to the target biological species.

[0047] It can be seen that this optional embodiment can, based on the results of marine biological identification, count the regional monitoring results of biological monitoring needs in the target area, and then for each target biological species, determine the number distribution analysis results of the target biological species based on the number of organisms and the biological distribution location, as well as determine the growth activity analysis results of the target biological species based on the individual biological appearance information and / or individual biological activity information. This can improve the statistical accuracy and comprehensiveness of marine biological monitoring in the target area, thereby helping to improve the accuracy of the analysis of the number distribution and growth activities of marine organisms, and further help to subsequently improve the comprehensiveness and accuracy of marine ranch management.

[0048] In this optional embodiment, optionally, for each target biological species, determining the quantitative distribution analysis result of the target biological species according to the biological quantity and the biological distribution position may include the following operations: Determine the quantity and distribution information of the target biological species based on the biological quantity and biological distribution location; According to the quantity distribution information, determine whether the target biological species meets the preset balanced distribution conditions; When it is determined that the target biological species meets the balanced distribution condition, determining that the result of the quantitative distribution analysis of the target biological species is that the target biological species is evenly distributed in the target area; When it is determined that the target biological species does not satisfy the balanced distribution condition, the result of the quantitative distribution analysis of the target biological species is determined to be that the target biological species is unbalancedly distributed in the target area.

[0049] Optionally, judging whether the target biological species meets a preset balanced distribution condition according to the quantity distribution information may specifically be: Determine, based on the quantity distribution information, whether the density of the target biological species in the target area is within a preset density interval corresponding to the target biological species, or determine whether the difference between the quantities of the target biological species at multiple preset points in the target area is less than or equal to a preset difference; When it is determined that the density of the target biological species in the target area is within a preset density interval corresponding to the target biological species and the difference between the numbers of the target biological species at multiple preset points in the target area is less than or equal to the preset difference, it is determined that the target biological species meets the balanced distribution condition; When it is determined that the density of the target biological species in the target area is not within the preset density interval corresponding to the target biological species or the difference between the numbers of multiple preset points of the target biological species in the target area is greater than the preset difference, it is determined that the target biological species does not meet the balanced distribution condition.

[0050] It can be seen that this optional embodiment can also determine the quantity distribution information of the target biological species based on the number of organisms and the distribution location of the organisms. If, based on the quantity distribution information, it is judged that the target biological species meets the balanced distribution condition, it is determined that the target biological species is evenly distributed in the target area; otherwise, it is determined that the target biological species is unbalanced in the target area. This can improve the accuracy of the analysis of the distribution of the target biological species, thereby improving the accuracy of the judgment on whether marine organisms are evenly distributed in the target area, which is conducive to further improving the accuracy of the marine biological analysis results.

[0051] In this optional embodiment, optionally, for each target biological species, determining the growth activity analysis result of the target biological species according to the biological individual appearance information and / or biological individual activity information may include the following operations: Analyze the growth stage of the target biological species based on the appearance information of the biological individuals to obtain the growth analysis results of the target biological species; and / or, According to the biological individual activity information, the activity of the target biological species is evaluated as the activity analysis result of the target biological species; and / or, Evaluate the health of the target biological species based on the biological individual appearance information and activity analysis results as the health analysis result of the target biological species; and / or, According to the biological individual activity information, it is determined whether the target biological species has group activity behavior; when it is determined that the target biological species has group activity behavior, the behavior type of the group activity behavior is determined; the behavior type may include a normal behavior type or an abnormal behavior type.

[0052] Among them, the higher the activity of an organism, the better the health status of the organism may be.

[0053] It can be seen that this optional embodiment can also analyze the growth, activity, health, behavioral activities and other information of the target biological species according to the appearance information and / or activity information of the individual organisms, which can further improve the analysis flexibility, comprehensiveness and accuracy of the growth and activity conditions of marine organisms, thereby facilitating further improving the comprehensiveness and accuracy of the analysis results of marine organisms, and further facilitating the subsequent improvement of the comprehensiveness and accuracy of marine ranch management.

[0054] Embodiment 2 See also Figure 2 , Figure 2 1 is a flow chart of an intelligent marine life monitoring method disclosed in an embodiment of the present invention. Figure 2 The described intelligent monitoring method of marine life can be applied to an intelligent monitoring system of marine life, and the intelligent monitoring system may include one of an intelligent monitoring terminal, an intelligent monitoring device, an intelligent monitoring apparatus and a server, wherein the server may include a local server or a cloud server, which is not limited in the embodiments of the present invention; the method can also be applied to a marine resource management platform, wherein the marine resource management platform may be a management platform constructed based on digital twin technology, which is not limited in the embodiments of the present invention. Figure 2 As shown, the intelligent monitoring method of marine organisms may include the following operations: 201. Determine the biological monitoring needs corresponding to the target area.

[0055] 202. Collect sensor data about marine life in the target area.

[0056] 203. Determine the marine life identification results corresponding to the target area based on the sensor data.

[0057] 204. According to the biological monitoring needs, analyze the marine biological identification results and obtain the marine biological analysis results corresponding to the target area.

[0058] In the embodiment of the present invention, the marine life analysis result is used to indicate the growth and / or activity and / or distribution of the marine life in the target area.

[0059] In the embodiment of the present invention, for other detailed descriptions of steps 201 to 204, please refer to the detailed description of steps 101 to 104 in the first embodiment, which will not be described in detail in the embodiment of the present invention.

[0060] 205. Determine the management needs of users of the marine resource management platform for the target area.

[0061] In an embodiment of the present invention, management requirements include a combination of one or more of marine life breeding requirements, marine life protection requirements, marine life density planning requirements and marine environment regulation requirements, which are not limited in the embodiment of the present invention; optionally, management requirements may also include data query requirements, which are not limited in the embodiment of the present invention.

[0062] 206. Based on the results of the marine biological analysis, analyze the development trend of marine life in the target area.

[0063] In an embodiment of the present invention, optionally, based on a marine resource management platform, according to the results of marine biological analysis, under current breeding conditions and / or current environmental conditions, the development trend of marine organisms in the target area can be simulated / predicted, which is not limited by the embodiment of the present invention; wherein, optionally, the development trend of marine organisms can include a combination of one or more of the development trend of biological quantity, the development trend of biological distribution, and the development trend of biological species, which is not limited by the embodiment of the present invention.

[0064] 207. Generate biological management measures corresponding to the target area based on management needs and marine biological development trends.

[0065] In the embodiment of the present invention, optionally, the biological management measures may include a combination of one or more of feeding measures, cleaning measures, treatment measures, decentralized breeding measures, centralized breeding measures, and fishing measures, which are not limited in the embodiment of the present invention.

[0066] It can be seen that the method described in the embodiment of the present invention can first determine the biological monitoring needs of the target area and collect sensor data about marine organisms in the area, then identify the marine organism identification results according to the sensor data, and then analyze the marine organism identification results according to the biological monitoring needs to obtain the marine organism analysis results. It can realize intelligent monitoring of multiple types of marine organisms in the marine area based on the marine resource management platform, which is conducive to real-time monitoring of the growth and activity of marine organisms in the target area, thereby improving the comprehensiveness and accuracy of marine organism monitoring, so as to improve the analysis accuracy of the growth and activity of marine organisms in the marine area, and then facilitate intelligent management of the marine area, and then facilitate improve the comprehensiveness and accuracy of marine ranch management. In addition, it can also generate biological management measures for the target area according to the management needs of the users of the determined marine resource management platform for the target area and the development trend of marine organisms obtained from the analysis of the marine organism analysis results, and can improve the generation accuracy of biological management measures through intelligent analysis of management needs and biological development trends, thereby facilitating further improvement of the comprehensiveness and accuracy of marine area management, and maintaining the ecological stability of the ocean.

[0067] In an optional embodiment, determining the management requirements of the user of the marine resource management platform for the target area may include the following operations: Receiving text information input by a user of the marine resource management platform; Based on the large language model preset by the marine resource management platform, identify key information about the target area in the text information; Obtain the user's historical interaction data on the marine resource management platform; Based on key information and historical interaction data, the user's management requirements for the target area are generated.

[0068] Optionally, the marine resource management platform can store sensor data, marine organism identification results, marine organism analysis results and other data; further optionally, the marine resource management platform can display the stored / analyzed data to the user in a visual form, which is not limited in the embodiments of the present invention.

[0069] It can be seen that this optional embodiment can identify key information about the target area in the text information input by the user based on the large language model preset by the marine resource management platform, and then generate the user's management needs for the target area in combination with the historical interaction data of the user on the marine resource management platform. This can improve the convenience of interaction between the marine resource management platform and the user and improve the usability of the marine resource management platform. At the same time, the use of a large language model can improve the accuracy of analysis of user needs, which is conducive to further improving the accuracy of determining management needs.

[0070] In an optional embodiment, the method may further include the following operations: Check whether there is any ecological threat record in the target area; ecological threat records include non-target biological invasion information and / or environmental degradation information; When an ecological threat record is detected in the target area, the corresponding environmental monitoring needs of the target area are determined based on the ecological threat record; Determine non-target organism identification results in the target area based on sensor data and environmental monitoring requirements; non-target organism identification results include environmental identification results and / or non-target marine organisms of non-target organism species; According to management needs, analyze non-target biometric identification results to obtain environmental analysis results corresponding to the target area.

[0071] Among them, optionally, the non-target biometric recognition results may also include inanimate object recognition results, which is not limited by the embodiments of the present invention; further optionally, when the non-target biometric recognition results include inanimate object recognition results, inanimate objects corresponding to the inanimate object recognition results may be collected, which is not limited by the embodiments of the present invention.

[0072] Among them, the environmental analysis results may include one or more combinations of ocean water quality analysis results, ocean garbage distribution analysis results, and non-target marine biological activity analysis results, which are not limited in the embodiments of the present invention.

[0073] It can be seen that this optional embodiment can determine the environmental monitoring needs corresponding to the target area based on the ecological threat records when an ecological threat record is detected in the target area, and then determine the non-target biological identification results in the target area based on the sensor data and environmental monitoring needs, and then analyze the non-target biological identification results according to management needs to obtain the environmental analysis results corresponding to the target area, and can further analyze the organisms / environment in the target area other than the target marine organisms, improve the accuracy and comprehensiveness of the analysis of the environmental conditions of the target area, and facilitate a more accurate analysis of the impact of the environmental analysis results on the survival of marine organisms.

[0074] In this optional embodiment, optionally, generating management measures for the marine biological analysis results according to management requirements may include the following operations: Generate management measures specific to the marine biological analysis results based on management needs and environmental analysis results.

[0075] It can be seen that this optional embodiment can also combine management needs and environmental analysis results to generate management measures, which can further improve the accuracy of generating management measures and is conducive to further improving the comprehensiveness and accuracy of management of marine areas.

[0076] In this optional embodiment, optionally, generating management measures for the marine biological analysis results according to management requirements and environmental analysis results may include the following operations: Generate pre-selected management measures for marine biological analysis results based on management needs; According to the environmental analysis results, analyze the suitability of the current marine environment for the growth of target marine organisms in the target area and the threat level of the current marine environment to the survival of target marine organisms in the target area; According to the growth suitability and survival threat, the pre-selected management measures are adjusted to obtain the management measures.

[0077] Among them, the higher the growth suitability, the more suitable the target area is for the growth activities of the target marine organisms; the higher the survival threat, the more susceptible the target marine organisms are to the impact of the environment / other organisms in the target area, making it more difficult for them to survive and reproduce.

[0078] It can be seen that this optional embodiment can also first generate pre-selected management measures for the marine biological analysis results according to management needs, and then analyze the impact of the current marine environment on the target marine organisms in the target area according to the environmental analysis results, and then adjust the pre-selected management measures according to the growth suitability and survival threat obtained from the analysis to obtain management measures. It can improve the accuracy of the analysis of the impact of the current marine environment on the target marine organisms, which is conducive to further improving the accuracy of the generation of management measures, making the management measures more compatible with the actual survival conditions of the target marine organisms, and further helping to further improve the comprehensiveness and accuracy of marine area management.

[0079] Embodiment 3 See also Figure 3 , Figure 3 1 is a schematic diagram of the structure of an intelligent monitoring system for marine life disclosed in an embodiment of the present invention. Figure 3 The described intelligent monitoring system for marine life may include one of an intelligent monitoring terminal, an intelligent monitoring device, an intelligent monitoring apparatus and a server, wherein the server may include a local server or a cloud server, which is not limited in the embodiments of the present invention; the system may be applied to a marine resource management platform, wherein the marine resource management platform may be a management platform constructed based on digital twin technology, which is not limited in the embodiments of the present invention. Figure 3 As shown, the intelligent monitoring system for marine life may include: A determination module 301 is used to determine the biological monitoring requirements corresponding to the target area; A collection module 302 is used to collect sensor data about marine life in the target area; The determination module 301 is further used to determine the marine organism identification result corresponding to the target area according to the sensing data; The analysis module 303 is used to analyze the marine organism identification results according to the biological monitoring requirements to obtain the marine organism analysis results corresponding to the target area; the marine organism analysis results are used to indicate the growth and / or activity and / or distribution of the marine organisms in the target area.

[0080] It can be seen that the system described in the embodiment of the present invention can first determine the biological monitoring needs of the target area and collect sensor data about marine organisms in the area, and then identify the marine organism identification results based on the sensor data, and then analyze the marine organism identification results according to the biological monitoring needs to obtain marine organism analysis results. It can realize intelligent monitoring of various types of marine organisms in the marine area based on the marine resource management platform, which is conducive to real-time monitoring of the growth and activities of marine organisms in the target area, thereby improving the comprehensiveness and accuracy of marine organism monitoring, so as to improve the accuracy of analysis of the growth and activities of marine organisms in the marine area, which is conducive to intelligent management of marine areas, and thus is conducive to improving the comprehensiveness and accuracy of marine ranch management.

[0081] In an optional embodiment, the specific manner in which the determination module 301 determines the biological monitoring requirements corresponding to the target area may include: Obtain at least one target biological species to be monitored in the target area and the corresponding management objectives for each target biological species; all target biological species include one or more combinations of fish, shrimp, shellfish and algae; management objectives include aquaculture objectives and / or protection objectives; According to the management objectives corresponding to each target biological species, the biological monitoring needs corresponding to the target area are determined; the biological monitoring needs include the monitoring needs corresponding to each target biological species; the monitoring needs include one or more combinations of growth monitoring needs, health monitoring needs, activity monitoring needs, population size monitoring needs and cluster stress behavior dynamic monitoring needs.

[0082] It can be seen that the system described in the implementation of this optional embodiment can determine the biological monitoring needs corresponding to the target area based on the acquired target biological species that need to be monitored in the target area and the corresponding management objectives, and can improve the accuracy of determining the target biological species, thereby improving the accuracy of determining the biological monitoring needs on the basis of improving the accuracy of the analysis of the biological management objectives, which is conducive to a subsequent more accurate analysis of the growth of marine organisms in the target area; and, by determining a variety of biological monitoring needs, the comprehensiveness and determination flexibility of the biological monitoring needs can be improved, which is conducive to more comprehensive monitoring of marine organisms and improving the comprehensiveness of the marine biological analysis results.

[0083] In this optional embodiment, the specific manner in which the determination module 301 determines the marine organism identification result corresponding to the target area according to the sensor data may include: Based on the pre-trained improved target detection algorithm, a feature extraction operation is performed on the sensor data to obtain feature information corresponding to the sensor data; a feature fusion operation is performed on the feature information to obtain multi-scale feature fusion information corresponding to the sensor data; the improved target detection algorithm is a target detection algorithm for multiple target biological species; Based on the multi-scale feature fusion information, the marine life identification results in the target area are determined; the marine life identification results include a combination of one or more of the target marine life of at least one target biological species, the biological distribution location of each target marine life, and the activity status information of each target marine life.

[0084] It can be seen that the system described in the implementation of this optional embodiment can also perform feature extraction on the sensor data based on the target detection algorithm to obtain feature information, and then perform weighted fusion on the feature information of different scales to obtain features of large, medium and small scales. The fused features are finally decoupled by the detection head, and then the marine life identification results in the target area are obtained based on the decoupled feature information. Using the target detection algorithm for the target biological species can improve the accuracy of feature extraction on the target biological species, which is beneficial to improve the identification accuracy of the target biological species, and further beneficial to improve the accuracy and reliability of the marine life identification results.

[0085] In an optional embodiment, the analysis module 303 analyzes the marine organism identification results according to the biological monitoring requirements, and the specific method of obtaining the marine organism analysis results corresponding to the target area may include: Based on the results of marine biological identification, the regional monitoring results of biological monitoring needs in the target area are counted; the regional monitoring results include the biological monitoring results corresponding to each target biological species; the biological monitoring results corresponding to each target biological species include the number of organisms of the target biological species, the distribution location of the organisms of the target biological species, the appearance information of the individual organisms of the target biological species, and the activity information of the individual organisms of the target biological species; For each target biological species, determine the quantitative distribution analysis results of the target biological species based on the biological quantity and biological distribution location; For each target biological species, the growth activity analysis result of the target biological species is determined based on the biological individual appearance information and / or biological individual activity information; the growth activity analysis result includes a combination of one or more of a growth condition analysis result, an activity analysis result, a health analysis result and a group behavior analysis result; The marine organism analysis results include quantity distribution analysis results and / or growth activity analysis results.

[0086] It can be seen that the system described in the implementation of this optional embodiment can, based on the results of marine biological identification, count the regional monitoring results of biological monitoring needs in the target area, and then for each target biological species, determine the number distribution analysis results of the target biological species based on the number of organisms and the distribution location of the organisms, as well as determine the growth activity analysis results of the target biological species based on the appearance information and / or activity information of the individual organisms. This can improve the statistical accuracy and comprehensiveness of the marine biological monitoring situation in the target area, thereby helping to improve the accuracy of the analysis of the number distribution and growth activities of marine organisms, and further help to subsequently improve the comprehensiveness and accuracy of marine ranch management.

[0087] In this optional embodiment, optionally, for each target biological species, the analysis module 303 may determine the specific method of the quantitative distribution analysis result of the target biological species according to the biological quantity and the biological distribution position, which may include: Determine the quantity and distribution information of the target biological species based on the biological quantity and biological distribution location; According to the quantity distribution information, determine whether the target biological species meets the preset balanced distribution conditions; When it is determined that the target biological species meets the balanced distribution condition, determining that the result of the quantitative distribution analysis of the target biological species is that the target biological species is evenly distributed in the target area; When it is determined that the target biological species does not satisfy the balanced distribution condition, the result of the quantitative distribution analysis of the target biological species is determined to be that the target biological species is unbalancedly distributed in the target area.

[0088] It can be seen that the system described in the implementation of this optional embodiment can also determine the quantity distribution information of the target biological species based on the number of organisms and the distribution location of the organisms. If, based on the quantity distribution information, it is judged that the target biological species meets the balanced distribution condition, it is determined that the target biological species is evenly distributed in the target area; otherwise, it is determined that the target biological species is unbalanced in the target area. This can improve the accuracy of the analysis of the distribution of the target biological species, thereby improving the accuracy of the judgment on whether marine organisms are evenly distributed in the target area, which is beneficial to further improve the accuracy of the marine biological analysis results.

[0089] In an optional embodiment, the determination module 301 is further used to determine the management needs of the user of the marine resource management platform for the target area; the management needs include one or more combinations of marine organism breeding needs, marine organism protection needs, marine organism density planning needs and marine environment regulation needs; The analysis module 303 is also used to analyze the development trend of marine life in the target area according to the marine life analysis results; And, if Figure 4 As shown, the system may also include: The generation module 304 is used to generate biological management measures corresponding to the target area according to management needs and development trends of marine organisms.

[0090] It can be seen that the system described in the implementation of this optional embodiment can generate biological management measures for the target area based on the management needs of the users of the determined marine resource management platform for the target area and the marine biological development trends obtained from the marine biological analysis results. It can improve the accuracy of the generation of biological management measures through intelligent analysis of management needs and biological development trends, which is conducive to further improving the comprehensiveness and accuracy of marine area management and maintaining the ecological stability of the ocean.

[0091] In this optional embodiment, optionally, as Figure 4 As shown, the system may also include: Detection module 305, used to detect whether there is an ecological threat record in the target area; the ecological threat record includes non-target biological invasion information and / or environmental deterioration information; The determination module 301 is further used to determine the environmental monitoring requirements corresponding to the target area according to the ecological threat record when an ecological threat record is detected in the target area; The determination module 301 is further used to determine the non-target organism identification results in the target area according to the sensor data and the environmental monitoring requirements; the non-target organism identification results include environmental identification results and / or non-target marine organisms of non-target organism species; The analysis module 303 is also used to analyze the non-target biometric recognition results according to management requirements to obtain the environmental analysis results corresponding to the target area; The specific manner in which the generation module 304 generates management measures for the marine biological analysis results according to management requirements may include: Generate management measures specific to the marine biological analysis results based on management needs and environmental analysis results.

[0092] It can be seen that the system described in the implementation of this optional embodiment can also determine the environmental monitoring needs corresponding to the target area based on the ecological threat records when the existence of ecological threat records in the target area is detected, and then determine the non-target biological identification results in the target area based on the sensor data and environmental monitoring needs, and then analyze the non-target biological identification results according to management needs to obtain the environmental analysis results corresponding to the target area, which can further analyze the organisms / environment other than the target marine organisms in the target area, improve the accuracy and comprehensiveness of the analysis of the environmental conditions in the target area, and facilitate a more accurate analysis of the impact of the environmental analysis results on the survival of marine organisms; and, it can also generate management measures in combination with management needs and environmental analysis results, which can further improve the accuracy of the generation of management measures, and is conducive to further improving the comprehensiveness and accuracy of management of marine areas.

[0093] Embodiment 4 See also Figure 5 , Figure 5 FIG. 1 is a schematic diagram of the structure of another intelligent monitoring system for marine life disclosed in an embodiment of the present invention. Figure 5 As shown, the intelligent monitoring system for marine life may include: A memory 401 storing executable program codes; a processor 402 coupled to the memory 401; The processor 402 calls the executable program code stored in the memory 401 to execute part or all of the steps in the intelligent monitoring method for marine life described in the first embodiment of the present invention or the second embodiment of the present invention.

[0094] Embodiment 5 An embodiment of the present invention discloses a computer storage medium, which stores computer instructions. When the computer instructions are called, they are used to execute some or all of the steps in the intelligent monitoring method for marine organisms described in Embodiment 1 or Embodiment 2 of the present invention.

[0095] Embodiment 6 An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to enable a computer to execute some or all of the steps in the intelligent monitoring method for marine life described in Example 1 or Example 2.

[0096] The device embodiments described above are only illustrative, wherein the modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, i.e., they may be located in one place, or they may be distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Those of ordinary skill in the art may understand and implement it without creative work.

[0097] Through the specific description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on such an understanding, the above technical solution can be essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, and the storage medium includes a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically erasable rewritable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0098] Finally, it should be noted that the intelligent monitoring method and system for marine life disclosed in the embodiments of the present invention only discloses the preferred embodiments of the present invention, which are only used to illustrate the technical scheme of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, it should be understood by those skilled in the art that the technical schemes described in the aforementioned embodiments can still be modified, or some of the technical features therein can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical schemes from the spirit and scope of the technical schemes of the embodiments of the present invention.

Claims

1. An intelligent monitoring method for marine organisms, characterized in that: The method is applied to a marine resource management platform, which is a management platform built based on digital twin technology. The method includes: Determine the biological monitoring needs corresponding to the target area; Collecting sensor data about marine life in the target area; Determining the marine life identification result corresponding to the target area according to the sensing data; According to the biological monitoring needs, the marine biological identification results are analyzed to obtain the marine biological analysis results corresponding to the target area; the marine biological analysis results are used to represent the growth and / or activity and / or distribution of marine organisms in the target area.

2. The intelligent monitoring method for marine organisms according to claim 1, characterized in that: The biological monitoring requirements corresponding to the target area are determined, including: Obtaining at least one target biological species to be monitored in the target area and the management objectives corresponding to each target biological species; all the target biological species include one or more combinations of fish, shrimp, shellfish and algae; the management objectives include aquaculture objectives and / or protection objectives; According to the management objectives corresponding to each of the target biological species, the biological monitoring needs corresponding to the target area are determined; the biological monitoring needs include the monitoring needs corresponding to each of the target biological species; the monitoring needs include one or more combinations of growth monitoring needs, health monitoring needs, activity monitoring needs, population size monitoring needs and cluster stress behavior dynamic monitoring needs.

3. The intelligent monitoring method for marine organisms according to claim 2, characterized in that: Determining the marine life identification result corresponding to the target area according to the sensing data includes: Based on a pre-trained improved target detection algorithm, a feature extraction operation is performed on the sensor data to obtain feature information corresponding to the sensor data; a feature fusion operation is performed on the feature information to obtain multi-scale feature fusion information corresponding to the sensor data; the improved target detection algorithm is a target detection algorithm for multiple target biological species; Based on the multi-scale feature fusion information, the marine life identification results in the target area are determined; the marine life identification results include a combination of one or more target marine life of at least one target biological species, the biological distribution location of each target marine life, and the activity status information of each target marine life.

4. The intelligent monitoring method for marine organisms according to any one of claims 1 to 3, characterized in that: The step of analyzing the marine biological identification results according to the biological monitoring requirements to obtain the marine biological analysis results corresponding to the target area includes: According to the marine biological identification results, the regional monitoring results of the biological monitoring needs in the target area are counted; the regional monitoring results include the biological monitoring results corresponding to each target biological species; the biological monitoring results corresponding to each target biological species include the number of organisms of the target biological species, the distribution location of the organisms of the target biological species, the appearance information of the individual organisms of the target biological species, and the activity information of the individual organisms of the target biological species; For each of the target biological species, determining a quantity distribution analysis result of the target biological species according to the biological quantity and the biological distribution location; For each of the target biological species, a growth activity analysis result of the target biological species is determined according to the biological individual appearance information and / or the biological individual activity information; the growth activity analysis result includes a combination of one or more of a growth condition analysis result, an activity analysis result, a health analysis result and a group behavior analysis result; Wherein, the marine organism analysis results include the quantity distribution analysis results and / or the growth activity analysis results.

5. The intelligent monitoring method of marine life according to claim 4, characterized in that: For each of the target biological species, determining the result of the quantitative distribution analysis of the target biological species according to the biological quantity and the biological distribution location includes: Determining the quantity distribution information of the target biological species according to the quantity of the biological species and the distribution location of the biological species; According to the quantity distribution information, determining whether the target biological species meets a preset balanced distribution condition; When it is determined that the target biological species meets the balanced distribution condition, determining that the result of the quantitative distribution analysis of the target biological species is that the target biological species is evenly distributed within the target area; When it is determined that the target biological species does not satisfy the balanced distribution condition, the result of the quantitative distribution analysis of the target biological species is determined to be that the target biological species is unbalancedly distributed in the target area.

6. The intelligent monitoring method for marine organisms according to any one of claims 1, 2, 3 and 5, characterized in that: The method further comprises: Determining the management needs of users of the marine resource management platform for the target area; the management needs include one or more combinations of marine organism breeding needs, marine organism protection needs, marine organism density planning needs, and marine environment regulation needs; Analyzing the development trend of marine life in the target area according to the marine life analysis results; Generate biological management measures corresponding to the target area based on the management needs and the development trend of the marine organisms.

7. The intelligent monitoring method of marine life according to claim 6, characterized in that: The method further comprises: Detecting whether there is an ecological threat record in the target area; the ecological threat record includes non-target biological invasion information and / or environmental deterioration information; When it is detected that the target area has the ecological threat record, determining the environmental monitoring requirements corresponding to the target area according to the ecological threat record; Determine non-target organism identification results in the target area according to the sensing data and the environmental monitoring requirements; the non-target organism identification results include environmental identification results and / or non-target marine organisms of non-target organism types; Analyze the non-target biometric recognition results according to the management requirements to obtain environmental analysis results corresponding to the target area; Wherein, generating management measures for the marine biological analysis results according to the management requirements includes: Management measures targeting the marine biological analysis results are generated according to the management needs and the environmental analysis results.

8. An intelligent monitoring system for marine life, characterized in that: The system is applied to a marine resource management platform, which is a management platform built based on digital twin technology. The system includes: A determination module is used to determine the biological monitoring needs corresponding to the target area; A collection module, used for collecting sensor data about marine life in the target area; The determination module is further used to determine the marine life identification result corresponding to the target area according to the sensing data; The analysis module is used to analyze the marine organism identification results according to the biological monitoring needs to obtain the marine organism analysis results corresponding to the target area; the marine organism analysis results are used to represent the growth and / or activity and / or distribution of marine organisms in the target area.

9. An intelligent monitoring system for marine life, characterized in that: The system comprises: A memory storing executable program code; a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the intelligent monitoring method for marine life as described in any one of claims 1-7.

10. A computer storage medium, characterized in that: The computer storage medium stores computer instructions, which, when called, are used to execute the intelligent monitoring method for marine organisms as described in any one of claims 1-7.

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