Method and device for evaluating release proliferation effect of portunus trituberculatus and electronic equipment

Abstract

The invention belongs to the technical field of marine fishery proliferation, and provides a portunus trituberculatus release proliferation effect evaluation method and device and electronic equipment.The evaluation method comprises the steps that after release, based on the growth cycle of portunus trituberculatus, body shape parameter feature sequences and habitat suitability index sequences corresponding to multiple preset growth nodes are dynamically obtained, an ecological capacity sequence; inputting the sequence into a multi-branch time sequence feature extraction network, and respectively extracting a body type parameter time sequence change feature, a habitat suitability index time sequence change feature and an ecological capacity time sequence change feature; fusing the body shape parameter time sequence change feature, the habitat suitability index time sequence change feature and the ecological capacity time sequence change feature by using a multi-head attention mechanism to obtain an attention fusion feature; and inputting the attention fusion features into a pre-trained portunus trituberculatus release proliferation effect evaluation model to obtain a portunus trituberculatus release proliferation effect evaluation result.

Description

Technical Field

[0001] This application relates to the technical field of marine fishery enhancement, and particularly to a method, device, and electronic equipment for evaluating the enhancement effect of releasing swimming crabs (Portunus trituberculatus). Background Art

[0002] In order to protect the population quantity and genetic germplasm resources of swimming crabs (Portunus trituberculatus), enhancement and release work has been carried out in coastal areas. The implementation of the enhancement and release work of swimming crabs (Portunus trituberculatus) not only increases the resource reserve of swimming crabs (Portunus trituberculatus), but also improves the marine environment of this water area to a certain extent, playing an important role in maintaining the balance of the marine ecosystem.

[0003] In the prior art, the enhancement and release of swimming crabs (Portunus trituberculatus) is often extensive, with fewer factors considered in the selection of release strategies, and often only the release quantity is pursued, resulting in poor enhancement and release effects.

[0004] Therefore, how to improve the enhancement and release effect of swimming crabs (Portunus trituberculatus) has become an urgent technical problem to be solved. Summary of the Invention

[0005] Embodiments of this application provide a method, device, and electronic equipment for evaluating the enhancement effect of releasing swimming crabs (Portunus trituberculatus) to solve the following technical problems in the prior art: how to improve the enhancement and release effect of swimming crabs (Portunus trituberculatus).

[0006] According to the first aspect, this application provides a method for evaluating the enhancement effect of releasing swimming crabs (Portunus trituberculatus), including: before releasing, obtaining the habitat suitability index of swimming crabs (Portunus trituberculatus) in the target area, the current ecological capacity of swimming crabs (Portunus trituberculatus), and the growth characteristics of wild swimming crabs (Portunus trituberculatus) in the target area;

[0007] Determining the release quantity, release time, and release size based on the habitat suitability index, the current ecological capacity, and the growth characteristics;

[0008] After releasing, dynamically obtaining the body size parameter feature sequences, habitat suitability index sequences, and ecological capacity sequences corresponding to multiple preset growth nodes based on the growth cycle of swimming crabs (Portunus trituberculatus);

[0009] Inputting the body size parameter feature sequences, the habitat suitability index sequences, and the ecological capacity sequences into a multi-branch temporal feature extraction network to respectively extract the temporal variation features of body size parameters, the temporal variation features of habitat suitability index, and the temporal variation features of ecological capacity;

[0010] Using a multi-head attention mechanism to fuse the temporal variation features of body size parameters, the temporal variation features of habitat suitability index, and the temporal variation features of ecological capacity to obtain an attention fusion feature;

[0011] Input the attention fusion feature into a pre-trained evaluation model for the release and proliferation effect of Portunus trituberculatus to obtain the evaluation result of the release and proliferation effect of Portunus trituberculatus.

[0012] Optionally, the utilization of the multi-head attention mechanism to fuse the temporal variation features of the body size parameters, the temporal variation features of the habitat suitability index, and the temporal variation features of the ecological capacity to obtain the attention fusion feature includes:

[0013] Construct a body size parameter attention matrix, a habitat suitability index attention matrix, and an ecological capacity attention matrix respectively based on the preset corresponding relationships between the body size parameters, the habitat suitability index, and the ecological capacity and the release and proliferation contribution rate;

[0014] Perform dot product calculations on the temporal variation features of the body size parameters, the temporal variation features of the habitat suitability index, and the temporal variation features of the ecological capacity with the corresponding attention matrices respectively to obtain the attention weights of the temporal variation features of the body size parameters, the temporal variation features of the habitat suitability index, and the temporal variation features of the ecological capacity;

[0015] Fuse the temporal variation features of the body size parameters, the temporal variation features of the habitat suitability index, and the temporal variation features of the ecological capacity based on the attention weights to obtain the attention fusion feature.

[0016] Optionally, the method for evaluating the release and proliferation effect of Portunus trituberculatus further includes: obtaining the second food web feature with Portunus trituberculatus as the base point in the target area after release; the second food web feature is a sequence of food web change features obtained based on the preset growth nodes;

[0017] Input the sequence of food web change features into the multi-branch temporal feature extraction network to extract the temporal variation features of the food web in the second food web feature;

[0018] Utilize the multi-head attention mechanism to fuse the temporal variation features of the body size parameters, the temporal variation features of the habitat suitability index, the temporal variation features of the food web, and the temporal variation features of the ecological capacity to obtain the attention fusion feature.

[0019] Optionally, the determination of the release quantity, release time, and release size based on the habitat suitability index, the current ecological capacity, and the growth characteristics. The determination of the release quantity of Portunus trituberculatus based on the habitat suitability index and the current ecological capacity includes:

[0020] Determine the release quantity of Portunus trituberculatus based on the habitat suitability index and the current ecological capacity;

[0021] Determine the release time and release size based on the habitat suitability index, the current ecological capacity, and the growth characteristics.

[0022] Optionally, the method for evaluating the release and proliferation effect of swimming crabs further includes:

[0023] Obtain the second food web characteristics based on swimming crabs in the target area;

[0024] Adjust the release quantity, release time, and release size of the swimming crabs based on the second food web characteristics.

[0025] Optionally, after obtaining the evaluation result of the release and proliferation effect, it further includes:

[0026] Evaluate the release quantity, release time, and release size respectively based on the evaluation result of the proliferation effect to obtain corresponding confidence scores;

[0027] Use the confidence score as the adjustment coefficient for the next release quantity, release time, and release size.

[0028] Optionally, after release, based on the growth cycle of the swimming crabs, dynamically obtain the sequence of body size parameter characteristics, habitat suitability index sequence, and ecological capacity sequence corresponding to preset growth nodes, including:

[0029] Determine the growth cycle through historical fishing data or bottom trawl survey data;

[0030] Divide preset growth nodes based on the growth cycle and preset body size parameter intervals, where the preset growth node is the time node corresponding to when the body size parameter reaches the preset body size parameter;

[0031] Conduct investigation and sampling on the swimming crabs in the target area according to the preset growth nodes, collect the body size parameter characteristics, habitat suitability index, and ecological capacity under each preset growth node respectively, and construct the sequence of body size parameter characteristics, the habitat suitability index sequence, and the ecological capacity sequence respectively.

[0032] According to the second aspect, an embodiment of the present application provides a device for evaluating the release and proliferation effect of swimming crabs, including:

[0033] The first acquisition module, before release, acquires the habitat suitability index of swimming crabs in the target area, the current ecological capacity of swimming crabs, and the growth characteristics of wild population of swimming crabs in the target area;

[0034] The first evaluation module determines the release quantity, release time, and release size based on the habitat suitability index, the current ecological capacity, and the growth characteristics;

[0035] A second acquisition module, after releasing the crabs, dynamically acquires sequences of body shape parameter features, habitat suitability index sequences, and ecological capacity sequences corresponding to multiple preset growth nodes based on the growth cycle of the swimming crab

[0036] An extraction module, configured to input the sequences of body shape parameter features, the habitat suitability index sequences, and the ecological capacity sequences into a multi-branch time series feature extraction network, and extract the time series change features of body shape parameters, the time series change features of habitat suitability index, and the time series change features of ecological capacity respectively

[0037] A fusion module, configured to fuse the time series change features of body shape parameters, the time series change features of habitat suitability index, and the time series change features of ecological capacity by using a multi-head attention mechanism to obtain attention fusion features

[0038] A second evaluation module, configured to input the attention fusion features into a pre-trained evaluation model for the releasing and proliferation effect of swimming crab to obtain an evaluation result of the releasing and proliferation effect of swimming crab

[0039] According to a third aspect, the present application provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, it implements the method for evaluating the releasing and proliferation effect of swimming crab as described in any one of the above first aspects

[0040] According to a fourth aspect, the present application provides an electronic device, including one or more processors, one or more memories, and one or more computer program instructions, and when the computer program instructions are executed by the processor, it implements the method for evaluating the releasing and proliferation effect of swimming crab as described in any one of the above first aspects

[0041] The present invention provides a method for evaluating the release and proliferation effect of Portunus trituberculatus. Before release, the habitat suitability index of Portunus trituberculatus in the target area, the current ecological capacity of Portunus trituberculatus, and the growth characteristics of Portunus trituberculatus in the wild population of the target area are obtained; based on the habitat suitability index, the current ecological capacity, and the growth characteristics, the release quantity, release time, and release size are determined; after release, based on the growth cycle of Portunus trituberculatus, a sequence of body size parameter characteristics, a sequence of habitat suitability index, and a sequence of ecological capacity corresponding to multiple preset growth nodes are dynamically obtained; the sequence of body size parameter characteristics, the sequence of habitat suitability index, and the sequence of ecological capacity are input into a multi-branch time series feature extraction network to extract the time series change characteristics of body size parameters, the time series change characteristics of habitat suitability index, and the time series change characteristics of ecological capacity respectively; the multi-head attention mechanism is used to fuse the time series change characteristics of body size parameters, the time series change characteristics of habitat suitability index, and the time series change characteristics of ecological capacity to obtain an attention fusion feature; the attention fusion feature is input into a pre-trained evaluation model for the release and proliferation effect of Portunus trituberculatus to obtain an evaluation result of the release and proliferation effect of Portunus trituberculatus; after release, when evaluating the release and proliferation effect of Portunus trituberculatus by dynamically obtaining information such as the growth state of Portunus trituberculatus, the impact on the environment, and the ecological capacity, the growth process is evaluated to obtain various parameters of the growth process of Portunus trituberculatus after release, so as to provide reference data with quantitative parameters for the release and proliferation of Portunus trituberculatus from release to adulthood, provide process reference data for subsequent release and proliferation, and at the same time be able to refine the release growth process data of Portunus trituberculatus. Based on the parameter sequence in the growth process of Portunus trituberculatus after release, the growth process change characteristics and cumulative change characteristics of Portunus trituberculatus are constructed, and then the whole process of release and proliferation of Portunus trituberculatus can be accurately and dynamically evaluated more accurately. Description of the Drawings

[0042] The drawings described herein are used to provide a further understanding of the present application, form a part of the present application, and the illustrative embodiments and descriptions thereof of the present application are used to explain the present application, and do not constitute an improper limitation of the present application. In the drawings:

[0043] Figure 1 is a schematic diagram of the process of the method for evaluating the release and proliferation effect of Portunus trituberculatus provided by some embodiments of the present application;

[0044] Figure 2 is a schematic diagram of the device for evaluating the release and proliferation effect of Portunus trituberculatus provided by some embodiments of the present application;

[0045] Figure 3 is a schematic diagram of an electronic device provided by some embodiments of the present application. Detailed Embodiments

[0046] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below in conjunction with specific embodiments of this application and the corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in this application without creative efforts belong to the scope of protection of this application.

[0047] Based on this, this application proposes a method for evaluating the effect of releasing and proliferating swimming crabs (Portunus trituberculatus). The effect of each release and proliferation is evaluated to improve the strategy of release and proliferation in real time, so as to achieve a better effect of release and proliferation. As Figure 1 shown, this method may include the following steps:

[0048] S10. Before release, obtain the habitat suitability index of Portunus trituberculatus in the target area, the current ecological capacity of Portunus trituberculatus, and the growth characteristics of the wild population of Portunus trituberculatus in the target area.

[0049] After selecting the target area for release, variable factors can be selected using the generalized additive models (GAM), and the weight analysis of the variable factors can be carried out through the boosting regression tree (BRT) model. A habitat suitability index (HSI) model is constructed to evaluate and predict the habitat suitability index of the target area, so as to quantitatively describe the survival quality of Portunus trituberculatus in the target area.

[0050] In this embodiment, in order to accurately determine the habitat suitability index of Portunus trituberculatus in the target area, multiple survey stations can be set in the target area, and bottom trawl surveys are carried out on each survey station respectively. The survey data is standardized and converted into biomass and number per unit time to characterize the abundance of Portunus trituberculatus. At the same time, a water quality analyzer is used to analyze environmental data such as water depth, bottom water temperature, and bottom salinity at multiple survey stations in the target area. The survey data such as the resource abundance of Portunus trituberculatus and environmental data obtained from the above-mentioned multiple survey stations are used as variable factors. The variable factors are selected through the GAM model, and then the weight of the selected variable factors is analyzed using the BRT model to obtain the relative contribution value of each variable factor, that is, the weight distribution of the variable factors.

[0051] The variable factors of the sub-regions at different survey stations within the target area often vary. Therefore, in this embodiment, relationships between multiple sets of variable factors and suitability indices are constructed according to the variable factors corresponding to the sub-regions of the survey stations, and then multiple habitat suitability indices are constructed within the target area. The suitability index of the target area is constructed by integrating multiple habitat suitability indices.

[0052] To determine the maximum stocking quantity that the target area can support, where the stocking data includes the maximum stocking quantity corresponding to each preset stocking size, it is necessary to conduct an assessment of the current ecological capacity of Portunus trituberculatus. In this embodiment, first, the functional populations in the target area are determined, and an Ecopath model of the ecosystem in the target area is constructed based on the functional populations to analyze the trophic interactions among the various functional populations in the target area. The Ecopath model of the ecosystem is based on the principle of trophic dynamics and fully considers the interspecific interactions from the perspectives of material and energy balance. For example, food competitors, the food relationships and ecological efficiencies of predators, and the primary productivity that the sea area can provide, etc. By continuously increasing the stocking biomass of Portunus trituberculatus (and the catch also increases proportionally), the changes in other functional groups such as bait organisms in the system are observed. When the ecological trophic efficiency of any other functional group in the model is greater than 1, the model will lose balance and change the current trophic state.

[0053] Among them, when constructing the Ecopath model, first, the populations in the target area are defined, that is, those that can cover the trophic levels and energy flow pathways in the ecosystem of the basic target area. According to the principle of energy conservation, the energy output and input of each population (i) remain relatively balanced. In this embodiment, the populations can be divided based on the characteristics of the biological species, individual numbers, and feeding habits in the target area. Among them, those with similar biological species, feeding habits, and habitat conditions can be grouped into the same population. For example, the mid-upper layer fish population, the bottom layer fish population, the food competitors of Portunus trituberculatus, the enemy organisms of Portunus trituberculatus, etc. can be used as separate populations respectively. In this embodiment, the main research is on the maximum stocking quantity of Portunus trituberculatus that the target area can support. Therefore, Portunus trituberculatus can be used as a separate population; the energy flow process in the ecosystem also includes organic detritus, phytoplankton, zooplankton, macrobenthos, meiobenthos, etc. Therefore, these species can also be used as separate populations respectively.

[0054] After determining the functional groups (i.e., populations) in the target area, based on the calculation formula of the Ecopath model: P i =Y i +B i *M i +E i +B’ i +N i (1 - E i) to characterize the energy output and input of each population (i).

[0055] Where Pi is the production of population i; Yi is the fishing rate of the biological population; Bi is the biomass of population i; Mi represents the predation mortality rate of group i; Ni is the net emigration rate; Ei represents the ecological trophic conversion efficiency of population i; B’ i is the biomass accumulation rate.

[0056] When constructing the Ecopath model, any three of the four basic parameters of the biomass (B), production / biomass (P / B), consumption / biomass (C / B), and ecological trophic efficiency (EE) of Portunus trituberculatus need to be input. The food matrix Dij and output matrix Xi of Portunus trituberculatus are also used as inputs, and the ecological trophic conversion efficiency E is used as an unknown. By debugging the model, E is ensured to be less than 1. Among them, consumption / biomass (C / B) is the ratio of the food intake of Portunus trituberculatus to its biomass. It is estimated using the empirical formula of Palomares and Pauly. The calculation formula for consumption / biomass (C / B) can be:

[0057] ln(C / B) = 7.964 - 0.204lnW∞ - 1.965T′ + 0.398d

[0058] T′ = 1000 / (T + 273.15)

[0059] Where: W∞ is the asymptotic body mass of the von Bertalanffy growth equation; h is a Boolean variable; d is a Dummy variable;; T′ is the average water temperature of the target area.

[0060] Under the condition of ensuring that the energy output and input of the Portunus trituberculatus population remain relatively balanced, through further calculation, it is obtained that:

[0061] B(P / B)E - ∑B(C / B)Dij - Xi = 0.

[0062] By continuously increasing the released biomass of Portunus trituberculatus (the fishing amount also increases proportionally). When the ecological trophic efficiency of any other functional group in the model is greater than 1, the model will lose balance and change the current trophic state.

[0063] In this embodiment, by evaluating and predicting the habitat suitability index of the target area, the survival quality of Portunus trituberculatus in the target area is characterized; and by evaluating the current ecological capacity of Portunus trituberculatus, the maximum release quantity corresponding to each preset release size in the current area is characterized.

[0064] Through bottom trawl surveys of the target area, the carapace width and body mass of the collected swimming crabs (Portunus trituberculatus) were measured to obtain multiple sets of carapace width and body mass data. Among them, the group interval of the data sets can be set at a carapace width interval of 10 mm. Based on the multiple sets of carapace width and body mass data, a growth characteristic equation function of the target area was constructed for fitting:

[0065] L i =L ∞ [1 - e -k(ti-t0) ;

[0066] W i =W ∞ [1 - e -k(ti-t0) b ;

[0067] where t 0 is the theoretical starting age point of growth, t i is the i-th preset growth node (the age point corresponding to each preset time interval starting from t 0 ), L i is the carapace width corresponding to the i-th preset growth node, W i is the body mass corresponding to the i-th preset growth node; k is the growth parameter, L ∞ is the asymptotic carapace width, W ∞ is the asymptotic body mass, b is the power exponent, and e is the natural constant.

[0068] S20. Determine the release quantity, release time, and release size based on the habitat suitability index, the current ecological capacity, and the growth characteristics.

[0069] After constructing the Ecopath model of the ecosystem in the target area, by simulating the continuous increase of the release biomass of swimming crabs (Portunus trituberculatus), the release biomass of swimming crabs when the model is about to lose balance is the maximum release quantity in the target area.

[0070] ​In one embodiment, since the environmental data of the target area may change in different time periods. For example, the bottom water temperature, rainfall in the target area are different in different seasons, which also affects the change of bottom salinity. Moreover, the resource abundance related to Portunus trituberculatus also has different abundances in different time periods. For example, the food sources of Portunus trituberculatus, its food competitors, and its predators all have a strong correlation with the habitat suitability index of Portunus trituberculatus. And the resource abundance of Portunus trituberculatus is also one of the determining factors of the habitat adaptability index. In this embodiment, by calculating the suitability index of the target area, the resource abundance related to Portunus trituberculatus in the target area is determined. Furthermore, the impact of the release quantity of Portunus trituberculatus on the habitat suitability index is determined to inversely restrict the maximum release quantity of Portunus trituberculatus. Therefore, the reasonable release quantity of Portunus trituberculatus can be determined through the habitat suitability index and the current ecological capacity.

[0071] Since the released juvenile Portunus trituberculatus are relatively vulnerable in the initial stage and are greatly affected by the environment, the habitat suitability index at the time of release is extremely important for the survival rate of Portunus trituberculatus in the initial stage of release. In addition, the natural mortality rate of juveniles often shows an inverse function relationship with their body length. The larger the seedling size, the stronger the environmental adaptability and the ability to escape enemies, and the higher the survival rate. At the same time, the relationship between the released Portunus trituberculatus and the wild population also needs to be considered. Among them, the relationship between the released Portunus trituberculatus and the wild population often has the following several relationships:

[0072] At the level of feeding competition: The released Portunus trituberculatus have much worse environmental adaptability than the wild population. Therefore, the released Portunus trituberculatus of the same size have much less competitiveness than the wild population. However, an overly large release size will also form a reverse competition for the wild population, resulting in a decline in the competitiveness of the wild population. Therefore, it is necessary to adjust the release size and release time based on the current wild population quantity and size.

[0073] At the level of being preyed upon: The released Portunus trituberculatus and the wild population face the same predators in the seedling stage. Appropriately increasing the total population quantity of Portunus trituberculatus is beneficial to improving the release and proliferation effect of Portunus trituberculatus.

[0074] At the gene level: The released juveniles are bred from a limited number of parents, and the genetic compositions of the parents are relatively similar. Therefore, large-scale release may lead to problems such as changes in population gene frequency, loss of genetic diversity, and decline in genetic fitness. Therefore, it is also necessary to further limit the release quantity through gene influencing factors.

[0075] In this embodiment, based on the habitat suitability index, environmental factors, the food quantity of Portunus trituberculatus, its food competitors, and its predators are evaluated.

[0076] Among them, the current vitality value of the wild population is evaluated by the environmental factors determined by the habitat suitability index. The first competitiveness of the wild population and the second competitiveness of the released population are evaluated based on the food source amount and the current vitality value of the swimming crab (Portunus trituberculatus) in the target area. The release size of the released population with the same competitiveness as the wild population is determined based on the first competitiveness and the second competitiveness. In one embodiment, the relationship between the release size and the size of the wild population can also be determined according to a preset coefficient. Exemplarily, the size of the wild population can be 80%-90% of the release size, and their feeding competitiveness is comparable.

[0077] In one embodiment, the food source amount of the swimming crab (Portunus trituberculatus) can include the food source types of the swimming crab (Portunus trituberculatus) and the abundance of each food source type. In this embodiment, the food source types of the swimming crab (Portunus trituberculatus) can be determined based on the growth characteristics of the swimming crab (Portunus trituberculatus) and the known food sources at each growth node of the swimming crab (Portunus trituberculatus). For example, when the swimming crab (Portunus trituberculatus) is in the larval stage, it mainly feeds on omnivorous foods such as algae, aquatic plants, and plankton. When it is adult, it feeds on shellfish, small fish, and shrimps. Based on this, the abundance of various types of food sources obtained through historical surveys of the target area can be used as the food source amount of the swimming crab (Portunus trituberculatus).

[0078] For the determination of the release time, multiple candidate time periods can be first determined by the habitat suitability index, and then the body size of the wild population at each preset growth node can be determined by the growth characteristics of the wild population. The candidate preset growth node corresponding to the appropriate wild population body size is selected, and the time period when the candidate preset growth node coincides with the candidate time period is taken as the release time.

[0079] S30. After release, based on the growth cycle of the swimming crab (Portunus trituberculatus), the body size parameter feature sequence, the habitat suitability index sequence, and the ecological capacity sequence corresponding to the preset growth nodes are dynamically obtained. After release, it is necessary to dynamically observe the growth of the released swimming crab (Portunus trituberculatus), and then dynamically evaluate the release strategy and the release effect. In this embodiment, the growth cycle of the swimming crab (Portunus trituberculatus) in the target area can be determined in advance. Exemplarily, it can be determined by historical fishing data or bottom trawl survey data. After obtaining the growth cycle, the preset growth nodes are divided based on the growth cycle and the preset body size parameter interval. The preset growth node is the time node corresponding to when the body size parameter reaches the preset parameter. In another embodiment, the preset growth nodes can also be divided according to a preset time period. Exemplarily, the growth cycle is N months, and the N months can be evenly divided according to the preset duration. For example, the preset duration can be one month. Therefore, the growth cycle is divided into N preset growth nodes.

[0080] In this embodiment, after determining the preset growth nodes, the swimming crabs in the target area of the release are surveyed and sampled according to the preset growth nodes, and the body size parameter characteristics, habitat suitability index, and ecological capacity under each preset growth node are collected respectively, and a body size parameter characteristic sequence, a habitat suitability index sequence, and an ecological capacity sequence are constructed respectively. In this embodiment, in order to improve the accuracy of the body size parameter characteristic sequence, the habitat suitability index sequence, and the ecological capacity sequence, in this embodiment, the time interval between the preset growth nodes can be taken as short as possible. The dynamically obtained sequence features related to time series can be used as evaluation factors for the growth of swimming crabs after release and their impact on the environment.

[0081] When evaluating the release and proliferation effect of swimming crabs, it is not only necessary to evaluate the catch amount of swimming crabs after adulthood, but also to evaluate their growth process to obtain various parameters of the growth process of swimming crabs after release, so that there is reference data with quantitative parameters for the growth process of the release and proliferation of swimming crabs from release to adulthood, provide process reference data for subsequent release and proliferation, and at the same time be able to refine the release growth process data of swimming crabs. In one embodiment, the growth process change characteristics and cumulative change characteristics of swimming crabs can be constructed based on the parameter sequence in the growth process of swimming crabs after release, and then the whole process of the release and proliferation of swimming crabs can be accurately and dynamically evaluated more accurately. Therefore, when evaluating the release and proliferation effect of swimming crabs after the body size parameter characteristic sequence, the habitat suitability index sequence, and the ecological capacity sequence, it includes:

[0082] S40. Input the body size parameter characteristic sequence, the habitat suitability index sequence, and the ecological capacity sequence into a multi-branch time series feature extraction network to extract the body size parameter time series change characteristics, the habitat suitability index time series change characteristics, and the ecological capacity time series change characteristics respectively.

[0083] S50. Use the multi-head attention mechanism to fuse the body size parameter time series change characteristics, the habitat suitability index time series change characteristics, and the ecological capacity time series change characteristics to obtain an attention fusion feature;

[0084] S60. Input the attention fusion feature into a pre-trained evaluation model for the release and proliferation effect of swimming crabs to obtain an evaluation result for the release and proliferation effect of swimming crabs.

[0085] In this application, before releasing, the habitat suitability index of Portunus trituberculatus in the target area, the current ecological capacity of Portunus trituberculatus, and the growth characteristics of the wild population of Portunus trituberculatus in the target area are obtained; based on the habitat suitability index, the current ecological capacity, and the growth characteristics, the release quantity, release time, and release size are determined; after releasing, based on the growth cycle of Portunus trituberculatus, the body size parameter feature sequences, habitat suitability index sequences, and ecological capacity sequences corresponding to multiple preset growth nodes are dynamically obtained; the body size parameter feature sequences, the habitat suitability index sequences, and the ecological capacity sequences are input into a multi-branch time series feature extraction network to extract the time series change characteristics of body size parameters, the time series change characteristics of habitat suitability index, and the time series change characteristics of ecological capacity respectively; the multi-head attention mechanism is used to fuse the time series change characteristics of body size parameters, the time series change characteristics of habitat suitability index, and the time series change characteristics of ecological capacity to obtain the attention fusion feature; the attention fusion feature is input into a pre-trained evaluation model for the release and proliferation effect of Portunus trituberculatus to obtain the evaluation result of the release and proliferation effect of Portunus trituberculatus; after releasing, when evaluating the release and proliferation effect of Portunus trituberculatus by dynamically obtaining the growth state of Portunus trituberculatus, the impact on the environment, and information such as ecological capacity, the growth process is evaluated to obtain various parameters of the growth process of Portunus trituberculatus after release, so that Portunus trituberculatus has reference data with quantitative parameters during the growth process of release and proliferation from release to adulthood, provides process reference data for subsequent release and proliferation, and can refine the growth process data of Portunus trituberculatus during release. Based on the parameter sequence in the growth process of Portunus trituberculatus after release, the growth process change characteristics and cumulative change characteristics of Portunus trituberculatus are constructed, and then the whole process of release and proliferation of Portunus trituberculatus can be accurately and dynamically evaluated more accurately.

[0086] In one embodiment, the evaluation model for the release and proliferation effect of Portunus trituberculatus can adopt the maximum entropy model to evaluate the contribution rate of the time series change characteristics of the habitat suitability index and the time series change characteristics of the ecological capacity to the time series change characteristics of the body size parameters of Portunus trituberculatus during its growth cycle. Among them,

[0087] In the maximum entropy model, the measure of the random variables of the time series change characteristics of the body size parameters in the time series change characteristics of the habitat suitability index and the time series change characteristics of the ecological capacity can be defined as the entropy value H(X), the time series change characteristics of the habitat suitability index are defined as one of the first random variables Pi, and the time series change characteristics of the ecological capacity are defined as the second random variable Qi;

[0088] Then the entropy value H(X) of the time series change characteristics of the body size parameters is expressed as:

[0089]

[0090] Wherein, i is the i-th preset growth node, n is the total number of growth nodes, Pi is the temporal change characteristic of the habitat suitability index of the i-th preset growth node, and Qi is the temporal change characteristic of the ecological capacity of the i-th preset growth node. By maximizing H(X), the contribution rates of the temporal change characteristics of the habitat suitability index and the temporal change characteristics of the ecological capacity to the temporal change characteristics of the body size parameters are evaluated.

[0091] In another embodiment, each branch in the branch temporal feature extraction network can also adopt a Gated Recurrent Unit (GRU). By using the GRU to extract the temporal cumulative change characteristics in time of the temporal change characteristics of the body size parameters, the temporal change characteristics of the habitat suitability index, and the temporal change characteristics of the ecological capacity, the correlation in the temporal accumulation of the temporal change characteristics of the body size parameters, the temporal change characteristics of the habitat suitability index, and the temporal change characteristics of the ecological capacity can be captured. At the same time, the dependence relationships in the temporal accumulation of the temporal change characteristics of the body size parameters, the temporal change characteristics of the habitat suitability index, and the temporal change characteristics of the ecological capacity can be captured.

[0092] In this embodiment, the GRU has an update gate and a reset gate. The gating unit can control the flow of information, determine which information should pass through and which information should be discarded, and the gating unit can adjust the interaction between the input data and the previous hidden state. By using the gating unit, the GRU can effectively transmit and update information between different time steps, and can better capture the cumulative effects in time of the body size parameter feature sequence, the habitat suitability index sequence, and the ecological capacity sequence, that is, respectively capture the cumulative change characteristics in time under the mutual coupling of multiple body size parameters, habitat suitability indexes, and ecological capacities. Furthermore, the correlation in the sequence can be better captured, and at the same time, various dependence relationships within each feature sequence can be captured.

[0093] In this embodiment, when capturing the correlation and / or dependence relationship of the temporal variation characteristics of body size parameters, the temporal variation characteristics of habitat suitability index, and the temporal variation characteristics of ecological capacity in time accumulation, the weight matrix of each branch temporal feature extraction network can be shared, that is, the weight matrix is shared by GRU units of different branches, forcing all feature sequences to be mapped to the same latent space to establish comparability, that is, mapping the temporal variation characteristics of body size parameters, the temporal variation characteristics of habitat suitability index, and the temporal variation characteristics of ecological capacity to the same latent space. At the same time, timestamp alignment is performed on the three groups of feature sequences; each GRU branch processes the corresponding features synchronously at each time step, retaining the temporal position encoding information, and then automatically learning the cross-modal association pattern through backpropagation. Through the synchronous update of the hidden states of the three GRU branches, a cross-modal temporal association is implicitly established, thereby capturing the correlation and / or dependence relationship of the temporal variation characteristics of body size parameters, the temporal variation characteristics of habitat suitability index, and the temporal variation characteristics of ecological capacity in time accumulation.

[0094] This correlation and dependence relationship can be reflected in the extracted temporal variation characteristics of body size parameters, the temporal variation characteristics of habitat suitability index, and the temporal variation characteristics of ecological capacity. Furthermore, when fusing through the attention mechanism subsequently, the correlation and dependence between different features can be indirectly learned through the attention mechanism, and thus the correlation and / or dependence relationship between different features can be present in the attention fusion features.

[0095] In one embodiment, the method of using the multi-head attention mechanism to fuse the temporal variation characteristics of body size parameters, the temporal variation characteristics of habitat suitability index, and the temporal variation characteristics of ecological capacity to obtain the attention fusion features includes:

[0096] Construct a body size parameter attention matrix, a habitat suitability index attention matrix, and an ecological capacity attention matrix respectively based on the preset corresponding relationships between body size parameters, habitat suitability index, ecological capacity and the contribution rate of release and enhancement;

[0097] Perform dot product calculations on the temporal variation characteristics of body size parameters, the temporal variation characteristics of habitat suitability index, and the temporal variation characteristics of ecological capacity with the corresponding attention matrices respectively to obtain the attention weights of the temporal variation characteristics of body size parameters, the temporal variation characteristics of habitat suitability index, and the temporal variation characteristics of ecological capacity respectively;

[0098] Fuse the temporal variation characteristics of body size parameters, the temporal variation characteristics of habitat suitability index, and the temporal variation characteristics of ecological capacity based on the attention weights to obtain the attention fusion features.

[0099] In this embodiment, the preset corresponding relationships between the body type parameters, the habitat suitability index, and the ecological capacity and the contribution rate of stocking and proliferation are respectively used as the heads of the multi-head attention mechanism. Independent linear transformation matrices for queries (Q), keys (K), and values (V) can be created for each head. For each head, the input features are respectively multiplied by the corresponding Q and K matrices, the dot product is calculated and scaled. The scaled result is normalized by the softmax function to obtain the attention scores. The attention scores are multiplied by the corresponding V values and summed to obtain the output features of each head. The output features of the three heads can be concatenated or combined in some way.

[0100] In one embodiment, after stocking, as the swimming crab grows, the swimming crab will have a dynamic impact on the food web in the target area. Therefore, in this embodiment, it is necessary to further adjust the effect of stocking and proliferation by dynamically obtaining the dynamic change characteristics of the food web in the target area after stocking.

[0101] Specifically, obtain the first food web feature based on the swimming crab in the target area after stocking; the first food web feature is a sequence of food web change characteristics obtained based on the preset growth nodes; input the sequence of food web change characteristics into the multi-branch time series feature extraction network to extract the food web time series change characteristics in the first food web feature; use the multi-head attention mechanism to fuse the body type parameter time series change characteristics, the habitat suitability index time series change characteristics, the food web time series change characteristics, and the ecological capacity time series change characteristics to obtain the attention fusion feature. In this embodiment, the change of the food web in the target area after stocking is often a cumulative change based on the growth of the swimming crab. Therefore, in this embodiment, after collecting the dynamic change characteristics of the food web according to the preset growth nodes, the corresponding time series features are constructed, and the food web cumulative change characteristics are extracted from the time series features through the GRU layer, which can not only better capture the correlation in the sequence, but also capture various dependencies within each feature sequence, and then can more accurately evaluate the effect of stocking and proliferation.

[0102] In another embodiment, the food web structure in the target area also has a great impact on the growth and population proliferation of the swimming crab. Therefore, in this embodiment, obtain the second food web feature based on the swimming crab in the target area; adjust the stocking quantity, stocking time, and stocking size of the swimming crab based on the second food web feature. The second food web feature can reflect the direct or indirect impact of the swimming crab population on other functional groups and quantify the impact degree, and then determine the adjustment of the stocking quantity and stocking size of the swimming crab based on this impact.

[0103] In this embodiment, the enemy organisms, food competitors, and main bait organisms of Portunus trituberculatus in the target area can be determined with Portunus trituberculatus as the basis point, and the release quantity of Portunus trituberculatus can be quantitatively analyzed according to the habitat suitability index and the current ecological capacity, as well as the influence values of the release size determined based on the habitat suitability index, the current ecological capacity, and the growth characteristics on the enemy organisms, food competitors, and main bait organisms. Exemplarily, the increase in the biomass of Portunus trituberculatus has a positive impact on Collichthys lucidus and other mid-upper layer fish, and the influence values are determined according to the above-mentioned release quantity and release size respectively. It has a negative impact on other bottom layer fish, Pseudosciaena polyactis, etc., and the influence values are determined according to the above-mentioned release quantity and release size. After obtaining the influence values, the release quantity and release size are adjusted until the influence values are all within the preset range to obtain the final release quantity and release size.

[0104] In one embodiment, after each release, the proliferation effect of the current release is evaluated, and the next release strategy is adjusted based on the evaluation result, so that the release strategy of Portunus trituberculatus becomes more and more reasonable through cyclic adjustment. In this embodiment, based on the evaluation result of the proliferation effect, the release quantity, the release time, and the release size are respectively evaluated to obtain corresponding confidence scores; based on the confidence scores as the adjustment coefficients of the next release quantity, the release time, and the release size, so as to be able to more reasonably determine the release strategy of the next release in the target area.

[0105] As Figure 2 shown, the embodiment of the present application also provides a device for evaluating the proliferation effect of Portunus trituberculatus release, including:

[0106] The first acquisition module 201 is used to acquire the habitat suitability index of Portunus trituberculatus in the target area and the current ecological capacity of Portunus trituberculatus before release;

[0107] The first evaluation module 202 is used to determine the release quantity of Portunus trituberculatus based on the habitat suitability index and the current ecological capacity;

[0108] The second acquisition module 203 is used to acquire the growth characteristics of the wild population of Portunus trituberculatus in the target area;

[0109] The extraction module 204 is used to determine the release time and the release size based on the habitat suitability index, the current ecological capacity, and the growth characteristics;

[0110] The fusion module 205 is used to dynamically acquire the body size parameter feature sequence, habitat suitability index sequence, and ecological capacity sequence corresponding to the preset growth nodes based on the growth cycle of the Portunus trituberculatus after release;

[0111] The second evaluation module 206 is configured to evaluate the releasing and proliferation effect of Portunus trituberculatus based on the body shape parameter feature sequence, the habitat suitability index sequence, and the ecological capacity sequence.

[0112] Figure 3 It is a structural block diagram of an optional electronic device according to an embodiment of the present application. As Figure 3 shown, it includes a processor 301, a communication interface 302, a memory 303, and a communication bus 304. Among them, the processor 301, the communication interface 302, and the memory 303 complete mutual communication through the communication bus 304. Among them,

[0113] The memory 303 is used to store computer programs;

[0114] When the processor 301 is used to execute the computer program stored on the memory 303, the following steps are implemented:

[0115] Before releasing, obtain the habitat suitability index of Portunus trituberculatus in the target area, the current ecological capacity of Portunus trituberculatus, and the growth characteristics of Portunus trituberculatus in the wild population of the target area;

[0116] Based on the habitat suitability index, the current ecological capacity, and the growth characteristics, determine the release quantity, release time, and release size;

[0117] After releasing, based on the growth cycle of Portunus trituberculatus, dynamically obtain the body shape parameter feature sequence, habitat suitability index sequence, and ecological capacity sequence corresponding to multiple preset growth nodes;

[0118] Input the body shape parameter feature sequence, the habitat suitability index sequence, and the ecological capacity sequence into a multi-branch time series feature extraction network to respectively extract the time series change features of body shape parameters, the time series change features of habitat suitability index, and the time series change features of ecological capacity;

[0119] Use the multi-head attention mechanism to fuse the time series change features of body shape parameters, the time series change features of habitat suitability index, and the time series change features of ecological capacity to obtain the attention fusion feature;

[0120] Input the attention fusion feature into a pre-trained evaluation model for the releasing and proliferation effect of Portunus trituberculatus to obtain the evaluation result of the releasing and proliferation effect of Portunus trituberculatus.

[0121] Optionally, in this embodiment, the above communication bus may be a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 it is only represented by a thick line in Figure 3 , but it does not mean that there is only one bus or one type of bus.

[0122] The communication interface is used for communication between the above electronic device and other devices.

[0123] The memory may include RAM and may also include non-volatile memory, for example, at least one disk memory. Optionally, the memory may also be at least one storage device located far from the aforementioned processor.

[0124] The above processor may be a general-purpose processor, which may include but is not limited to: a CPU (Central Processing Unit), an NP (Network Processor), etc.; it may also be a DSP (Digital Signal Processing), an ASIC (Application Specific Integrated Circuit), an FPGA (Field-Programmable Gate Array), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0125] Optionally, the specific examples in this embodiment may refer to the examples described in the above embodiments, and will not be elaborated herein.

[0126] Those of ordinary skill in the art can understand that Figure 3 the structure shown is only schematic. The device for implementing the above method for evaluating the release and proliferation effect of Portunus trituberculatus may be a terminal device, which may be a smart phone (such as an Android phone, an iOS phone, etc.), a tablet computer, a palm computer, and a Mobile Internet Device (MID), a PAD, and other terminal devices. Figure 3 It does not limit the structure of the above electronic device. For example, the terminal device may further include more or fewer components (such as a network interface, a display device, etc.) than those shown in Figure 3 Figure 3 , or have a structure different from that shown in Figure 3The different configurations shown.

[0127] Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing the relevant hardware of the terminal device through a program, and this program can be stored in a computer-readable storage medium. The storage medium can include: a flash drive, ROM, RAM, a magnetic disk, or an optical disc, etc.

[0128] According to another aspect of the embodiments of the present application, a storage medium is further provided. Optionally, in this embodiment, the above storage medium can be used to execute the program code of the method for evaluating the release and proliferation effect of swimming crabs.

[0129] Optionally, in this embodiment, the above storage medium can be located on at least one of the multiple network devices in the network shown in the above embodiment.

[0130] Optionally, in this embodiment, the storage medium is set to store program code for performing the following steps:

[0131] Before release, obtain the habitat suitability index of swimming crabs in the target area, the current ecological capacity of swimming crabs, and the growth characteristics of wild swimming crabs in the wild population of the target area;

[0132] Based on the habitat suitability index, the current ecological capacity, and the growth characteristics, determine the release quantity, release time, and release size;

[0133] After release, based on the growth cycle of swimming crabs, dynamically obtain the sequence of body size parameter characteristics, the sequence of habitat suitability index, and the sequence of ecological capacity corresponding to multiple preset growth nodes;

[0134] Input the sequence of body size parameter characteristics, the sequence of habitat suitability index, and the sequence of ecological capacity into a multi-branch time series feature extraction network to respectively extract the time series change characteristics of body size parameters, the time series change characteristics of habitat suitability index, and the time series change characteristics of ecological capacity;

[0135] Use the multi-head attention mechanism to fuse the time series change characteristics of body size parameters, the time series change characteristics of habitat suitability index, and the time series change characteristics of ecological capacity to obtain the attention fusion characteristics;

[0136] Input the attention fusion characteristics into a pre-trained model for evaluating the release and proliferation effect of swimming crabs to obtain the evaluation result of the release and proliferation effect of swimming crabs.

[0137] Optionally, the specific examples in this embodiment can refer to the examples described in the above embodiment, and will not be elaborated herein.

[0138] Optionally, in this embodiment, the above storage medium may include, but is not limited to: various media such as USB flash drives, ROMs, RAMs, mobile hard disks, magnetic disks, or optical discs that can store program codes.

[0139] The serial numbers of the embodiments of the present application are only for description and do not represent the superiority or inferiority of the embodiments.

[0140] If the integrated unit in the above embodiment is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in the above computer-readable storage medium. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in the storage medium and includes several instructions for causing one or more computer devices (which may be personal computers, servers, or network devices, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application.

[0141] In the above embodiments of the present application, the descriptions of the various embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0142] In the several embodiments provided by the present application, it should be understood that the disclosed client can be implemented in other ways. Among them, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection to each other can be through some interfaces. The indirect coupling or communication connection of the units or modules can be in an electrical or other form.

[0143] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution provided in this embodiment.

[0144] In addition, the functional units in the various embodiments of the present application can be integrated in one processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0145] What is not described in the present application can be implemented by adopting or referring to the existing technology.

[0146] Each embodiment in this specification is described in a progressive manner. For the same or similar parts among the embodiments, reference can be made to each other, and the differences between each embodiment and other embodiments are emphasized.

[0147] The above description is only for the embodiments of the present application and is not intended to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. A method for evaluating the effect of releasing and multiplying swimming crabs, characterized in that: include: Before releasing, obtain the habitat suitability index of the swimming crab in the target area, the current ecological capacity of the swimming crab and the growth characteristics of the wild population of the swimming crab in the target area; Determining the number, time and size of release based on the habitat suitability index, the current ecological capacity and the growth characteristics; After the release, based on the growth cycle of the swimming crab, dynamically obtaining a body parameter characteristic sequence, a habitat suitability index sequence, and an ecological capacity sequence corresponding to a plurality of preset growth nodes; Inputting the body parameter feature sequence, the habitat suitability index sequence, and the ecological capacity sequence into a multi-branch temporal feature extraction network to respectively extract the temporal variation characteristics of the body parameter, the temporal variation characteristics of the habitat suitability index, and the temporal variation characteristics of the ecological capacity; Using a multi-head attention mechanism, the temporal change characteristics of the body size parameters, the temporal change characteristics of the habitat suitability index and the temporal change characteristics of the ecological capacity are fused to obtain an attention fusion feature; The attention fusion feature is input into the pre-trained model for evaluating the effect of release and proliferation of swimming crabs to obtain the evaluation result of the effect of release and proliferation of swimming crabs.

2. The method for evaluating the effect of releasing and multiplying swimming crabs according to claim 1, characterized in that: The multi-head attention mechanism is used to fuse the temporal variation characteristics of the body size parameters, the temporal variation characteristics of the habitat suitability index and the temporal variation characteristics of the ecological capacity to obtain the attention fusion characteristics including: Based on the preset correspondence between body size parameters, habitat suitability index, ecological capacity and release-reproduction contribution rate, the body size parameter attention matrix, habitat suitability index attention matrix and ecological capacity attention matrix were constructed respectively; Performing dot product calculations on the time series variation characteristics of the body size parameters, the time series variation characteristics of the habitat suitability index, and the time series variation characteristics of the ecological capacity with the corresponding attention matrices, respectively, to obtain the attention weights of the time series variation characteristics of the body size parameters, the time series variation characteristics of the habitat suitability index, and the time series variation characteristics of the ecological capacity, respectively; Based on the attention weight, the temporal change characteristics of the body parameters, the temporal change characteristics of the habitat suitability index and the temporal change characteristics of the ecological capacity are fused to obtain the attention fusion characteristics.

3. The method for evaluating the effect of releasing and multiplying the swimming crab according to claim 1, characterized in that: Also includes: Acquire the first food web characteristics with the swimming crab (P. trituberculatus) as the base point in the target area after the release; The first food web feature is a food web change feature sequence obtained based on the preset growth node; Inputting a food web change feature sequence into the multi-branch temporal feature extraction network to extract food web temporal change features from the first food web features; The time-series change characteristics of the body parameters, the time-series change characteristics of the habitat suitability index, the time-series change characteristics of the food web and the time-series change characteristics of the ecological capacity are fused using a multi-head attention mechanism to obtain the attention fusion characteristics.

4. The method for evaluating the effect of releasing and multiplying swimming crabs according to claim 1, characterized in that: The method of determining the release quantity, release time and release size based on the habitat suitability index, the current ecological capacity and the growth characteristics is as follows: determining the release quantity of swimming crabs based on the habitat suitability index and the current ecological capacity comprises: Determining the number of released swimming crabs based on the habitat suitability index and the current ecological capacity; The release time and release size are determined based on the habitat suitability index, the current ecological capacity and the growth characteristics.

5. The method for evaluating the effect of releasing and multiplying the swimming crab according to claim 1, characterized in that: Also includes: Acquire the second food web characteristics in the target area with the swimming crab (Pinus trituberculatus) as the base point; The release quantity, release time and release size of the swimming crabs are adjusted based on the second food web characteristics.

6. The method for evaluating the effect of releasing and multiplying the swimming crab according to claim 1, characterized in that: After obtaining the results of the release and enhancement effect assessment, it also includes: Based on the proliferation effect evaluation result, the release quantity, the release time and the release size are evaluated respectively to obtain corresponding confidence scores; The confidence score is used as an adjustment factor for the next release quantity, the release time and the release size.

7. The method for evaluating the effect of releasing and multiplying the swimming crab according to claim 1, characterized in that: After the release, based on the growth cycle of the swimming crab, the body parameter characteristic sequence corresponding to the preset growth node, the habitat suitability index sequence, and the ecological capacity sequence are dynamically obtained, including: Determine the growth period from historical catch data or bottom trawl survey data; Dividing preset growth nodes based on the growth cycle and preset body shape parameter intervals, the preset growth nodes being time nodes corresponding to when the body shape parameters reach the preset body shape parameters; According to the preset growth nodes, the swimming crabs in the target area are surveyed and sampled, and the body parameter characteristics, habitat suitability index and ecological capacity at each preset growth node are collected respectively, and the body parameter characteristic sequence, the habitat suitability index sequence and the ecological capacity sequence are constructed respectively.

8. A device for evaluating the effect of releasing and multiplying swimming crabs, characterized in that: include: The first acquisition module is to acquire the habitat suitability index of the swimming crab in the target area, the current ecological capacity of the swimming crab, and the growth characteristics of the wild population of the swimming crab in the target area before releasing; A first evaluation module determines the release quantity, release time and release size based on the habitat suitability index, the current ecological capacity and the growth characteristics; The second acquisition module dynamically acquires a body parameter characteristic sequence, a habitat suitability index sequence, and an ecological capacity sequence corresponding to a plurality of preset growth nodes based on the growth cycle of the swimming crab after the release; An extraction module, used to input the body parameter feature sequence, the habitat suitability index sequence, and the ecological capacity sequence into a multi-branch time series feature extraction network, and respectively extract the time series change characteristics of the body parameter, the time series change characteristics of the habitat suitability index, and the time series change characteristics of the ecological capacity; A fusion module, used to fuse the temporal change characteristics of the body size parameters, the temporal change characteristics of the habitat suitability index and the temporal change characteristics of the ecological capacity by using a multi-head attention mechanism to obtain an attention fusion feature; The second evaluation module is used to input the attention fusion feature into the pre-trained release and proliferation effect evaluation model of the swimming crab, so as to obtain the evaluation result of the release and proliferation effect of the swimming crab.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method for evaluating the effect of releasing and multiplying the swimming crab (Portunus trituberculatus) as claimed in any one of claims 1 to 7 is implemented.

10. An electronic device, characterized in that: The method comprises one or more processors, one or more memories, and one or more computer program instructions. When the computer program instructions are executed by the processor, the method for evaluating the effect of releasing and multiplying swimming crabs as described in any one of claims 1 to 7 is implemented.

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