An assessment method and system for the ecological harm of submarine cable oil spills to benthic organisms

Abstract

The present invention provides a method and system for evaluating the ecological harm of submarine cable oil spills to benthic organisms. The method includes obtaining the oil spill impact area of a submarine oil-filled cable; obtaining the field investigation results and simulated toxicity experiment results of the oil spill impact area, where the field investigation results are the marine environmental parameters of the oil spill impact area and the survival parameters of target benthic organisms, and the simulated toxicity experiment results are the indoor toxicity experiment results of the dominant groups of target benthic organisms with respect to the insulating oil of the submarine cable; using the obtained data as input and obtaining the evaluation result of the ecological harm of the submarine cable oil spill to benthic organisms by using a hybrid evaluation model, and the hybrid evaluation model is established based on the hazard evaluation standard information of the submarine cable oil spill. The present invention can quantify and evaluate the toxic effects of submarine oil-filled cable oil spills on benthic organisms in the affected sea area with the field investigation and indoor simulated toxicity experiment results as parameters, providing a scientific basis for reducing the potential ecological risks brought by oil spills from oil-filled submarine cables.

Description

Technical Field

[0001] The present invention belongs to the technical field of marine ecological environment management, and particularly relates to a method and system for evaluating the ecological harm of submarine cable oil spills to benthic organisms. Background Art

[0002] Oil-filled submarine cables are an important part of modern social communication networks. Once cable insulating oil leaks, its potential hazards cannot be ignored. Oil leakage may lead to a series of environmental problems, one of which is irreversible damage to the marine ecosystem. When the insulating oil of a submarine cable leaks into the ocean, it may have various negative impacts on the ecosystem. Oil-filled submarine cables are generally buried about 1 meter deep under the seabed. Once the insulating oil leaks, benthic organisms inhabiting the seabed will be affected first. Existing studies have found that excessive cable insulating oil can harm marine benthic organisms, leading to their death or restricted growth. This will disrupt the ecological balance of marine organisms, affect marine biodiversity and species distribution. Secondly, these toxic substances may enter the food chain, gradually accumulating from the lowest-level organisms upwards. Marine organisms highly enriched with cable insulating oil may eventually be consumed, thus threatening human health. The toxicity substances increase step by step in the food chain, which may cause many health problems, including neurotoxicity, cancer, and reproductive problems, etc. However, no relevant models have been found to evaluate the toxic effects of submarine cable insulating oil on marine organisms. Therefore, there is an urgent need to construct a hybrid evaluation model to quantitatively evaluate the toxic effects of oil spills from oil-filled submarine cables on benthic organisms in the affected sea areas. Summary of the Invention

[0003] In view of this, the present invention aims to overcome the deficiencies of the prior art and provides a method and system for constructing a model for evaluating the harm of submarine cable oil spills to benthic organisms.

[0004] To achieve the above object, the technical solutions provided by the present invention are as follows:

[0005] The first aspect of the present invention provides a method for evaluating the ecological harm of submarine cable oil spills to benthic organisms, including the following steps:

[0006] Obtain the oil spill impact area of the oil-filled submarine cable;

[0007] Obtain the field investigation results and simulated toxicity experiment results of the oil spill impact area. The field investigation results are the marine environmental parameters and the survival parameters of the target benthic organisms in the oil spill impact area, and the simulated toxicity experiment results are the indoor toxicity experiment results of the dominant groups of the target benthic organisms regarding the submarine cable insulating oil;

[0008] Taking the results of field surveys and simulated toxicity experiments as inputs, a hybrid assessment model is used to obtain the hybrid assessment results of the ecological hazards of submarine cable oil spills to benthic organisms. The hybrid assessment model is established based on the results of field surveys and simulated toxicity experiments as parameter bases and the hazard assessment standard information of submarine cable oil spills as the assessment criteria.

[0009] Furthermore, the construction process of the hybrid assessment model includes the following steps:

[0010] Construct parameterized basic simulation frameworks based on the results of field surveys and simulated toxicity experiments respectively to obtain a first parameterized framework and a second parameterized framework;

[0011] Based on the hazard assessment standard information, adapt the optimal network layer, activation function, loss function, and regularization method for the first parameterized framework and the second parameterized framework. Construct an assessment model according to the optimal network layer, activation function, loss function, and regularization method to obtain an initial hybrid assessment model;

[0012] Import the results of field surveys and simulated toxicity experiments into the initial hybrid assessment model for training and evaluation, obtain the final loss change value of the oil spill hazard assessment results, and analyze and optimize the trained initial hybrid assessment model through the final loss change value to obtain the hybrid assessment model of the ecological hazards of submarine cable oil spills to benthic organisms.

[0013] Furthermore, constructing parameterized basic simulation frameworks based on the results of field surveys and simulated toxicity experiments respectively to obtain a first parameterized framework and a second parameterized framework specifically includes the following steps:

[0014] Investigate and monitor the benthic organisms living in the oil spill impact area to obtain the survival parameters of the target benthic organisms; among them, the survival parameters include species, density, and biomass;

[0015] Obtain several groups of the target benthic organisms, introduce the hash algorithm to calculate the hash values of the survival parameters, obtain the hash values, and at the same time obtain the preset hash thresholds for each group. Compare the hash values with the preset hash thresholds for each group, and extract the groups with hash values greater than the preset hash thresholds to obtain the dominant groups of the target benthic organisms;

[0016] Conduct field investigations on the oil spill impact area to obtain the marine environmental parameters of the oil spill impact area, and define the marine environmental parameters of the oil spill impact area as the results of field surveys; among them, the marine environmental parameters include temperature, salinity, pH value, dissolved oxygen, nutrients, chlorophyll, etc.;

[0017] Simulate the natural environment of the oil spill affected area based on the field survey results to obtain a simulated natural environment, and use the dominant groups of the target benthic organisms as the experimental objects to conduct indoor toxicity experiments on the experimental objects with the insulating oil of submarine cables in the simulated natural environment to obtain toxicity experiment parameters, and define the simulated toxicity experiment parameters as the simulated toxicity experiment results; among them, the toxicity experiment parameters include the half-lethal concentration, the maximum non-effective concentration, the lowest effective concentration, and the accumulation amount of insulating oil in the experimental objects.

[0018] Construct a parameterized basic simulation framework based on the field survey results and the simulated toxicity experiment results, and import the field survey results and the simulated toxicity experiment results into the parameterized basic simulation framework for fitting to obtain a first parameterized framework and a second parameterized framework.

[0019] Furthermore, construct a parameterized basic simulation framework based on the field survey results and the simulated toxicity experiment results, and import the field survey results and the simulated toxicity experiment results into the parameterized basic simulation framework for fitting to obtain a first parameterized framework and a second parameterized framework, which specifically includes the following steps:

[0020] Set the toxic effect of the parameterized simulated submarine cable oil spill on benthic organisms as the test case characteristics, and calculate the test case characteristics based on the test execution algorithm to generate a test framework.

[0021] Obtain the parameter storage method of the field survey results and the simulated toxicity experiment results, define the parameter storage method as the retrieval label, and import the retrieval label into the big data network for retrieval.

[0022] After the retrieval is completed, obtain the parameterized structure of the field survey results and the simulated toxicity experiment results, write the corresponding parameterized logic code according to the parameterized structure of the field survey results and the simulated toxicity experiment results and the parameter storage method, and integrate the parameterized logic code into the test framework.

[0023] Verify whether the parameterized logic code can normally execute the test case characteristics in the test framework. If it fails to execute normally, readjust the parameterized logic code and integrate it into the test framework for the second time to finally obtain a first parameterized framework and a second parameterized framework.

[0024] Furthermore, adapt the best network layer, activation function, loss function, and regularization method of the first parameterized framework and the second parameterized framework based on the hazard assessment standard information, and construct an evaluation model according to the best network layer, activation function, loss function, and regularization method to obtain an initial hybrid evaluation model, which specifically includes the following steps:

[0025] Obtain the hazard assessment standard information of submarine cable oil spills, and obtain the network layer, activation function, loss function, and regularization method for model construction of the first parameterization framework and the second parameterization framework through the big data network;

[0026] Introduce the analytic hierarchy process algorithm to calculate the hazard assessment standard information, decompose the hazard assessment standard information into different hierarchical structures, construct a comparison matrix in each hierarchical structure, calculate the weight vector of each comparison matrix, and finally multiply the weight vectors to obtain the weight coefficient of the hazard assessment standard information;

[0027] Based on the weight coefficient of the hazard assessment standard information, adaptively screen the network layer, activation function, loss function, and regularization method to obtain the optimal network layer, activation function, loss function, and regularization method;

[0028] Introduce a deep learning algorithm, design the underlying structure of the evaluation model in the deep learning algorithm according to the optimal network layer, activation function, loss function, and regularization method, and preset the evaluation parameter threshold based on the hazard assessment standard information, and embed the evaluation parameter threshold into the underlying structure of the evaluation model to obtain an initial hybrid evaluation model.

[0029] Furthermore, import the field investigation results and simulated toxicity experiment results into the initial hybrid evaluation model for training and evaluation, obtain the final loss change value of the oil spill hazard assessment result, and analyze and optimize the trained initial hybrid evaluation model through the final loss change value to obtain a hybrid evaluation model for the ecological hazard of submarine cable oil spills to benthic organisms, which specifically includes the following steps:

[0030] Divide the field investigation results and simulated toxicity experiment results into uniform training sets and test sets, and import the training sets into the initial hybrid evaluation model for training to obtain the trained initial hybrid evaluation model, monitor the loss change during the training process, and obtain the training loss change value;

[0031] Based on the training loss change value, preset the allowable loss change interval, import the test set into the trained initial hybrid evaluation model for evaluation, generate the oil spill hazard assessment result, and simultaneously obtain the final loss change value of the oil spill hazard assessment result;

[0032] Judge whether the final loss change value is within the allowable loss change interval. If it is, it means that there is no error in the evaluation of the ecological hazard of submarine cable oil spills to benthic organisms by the trained initial hybrid evaluation model, and no optimization is required;

[0033] If not, it indicates that there is an error in the initial mixed evaluation model for assessing the impact of submarine cable oil spills on benthic biological ecology. Obtain the minimum allowable loss change value within the allowable loss change range, and calculate the Mahalanobis distance between the final loss change value and the minimum allowable loss change value;

[0034] Based on the Mahalanobis distance, optimize and correct the initial mixed evaluation model, and finally obtain the mixed evaluation model for the impact of submarine cable oil spills on benthic biological ecology.

[0035] Furthermore, obtain the oil spill impact area of the submarine oil-filled cable, specifically including:

[0036] Obtain the oil spill rate of the submarine oil-filled cable. At the same time, obtain remote sensing data and ocean hydrological data, construct an oil spill diffusion model by combining the oil spill rate, remote sensing data, and ocean hydrological data, and determine the oil spill impact area through the oil spill diffusion model.

[0037] Furthermore, obtain the oil spill rate of the submarine oil-filled cable. At the same time, obtain remote sensing data and ocean hydrological data, construct an oil spill diffusion model by combining the oil spill rate, remote sensing data, and ocean hydrological data, and determine the oil spill impact area through the oil spill diffusion model, specifically including the following steps:

[0038] Obtain the distribution area of the submarine oil-filled cable, and perform sonar detection on the distribution area of the submarine oil-filled cable through a sonar wave measurement device to obtain the oil spill rate of the submarine oil-filled cable;

[0039] Preset a target time period, calculate the total oil spill volume within the target time period according to the oil spill rate of the submarine oil-filled cable;

[0040] Obtain the historical remote sensing data and historical ocean hydrological data of the distribution area of the submarine oil-filled cable, construct an initial diffusion model based on a multi-layer perceptron neural network, import the total oil spill volume into the initial diffusion model, and train and verify the diffusion of the total oil spill volume in the initial diffusion model based on the historical remote sensing data and historical ocean hydrological data to obtain the oil spill diffusion model;

[0041] Obtain the real-time remote sensing data and real-time ocean hydrological data of the distribution area of the submarine oil-filled cable, import the real-time remote sensing data and real-time ocean hydrological data into the oil spill diffusion model to obtain the real-time oil spill diffusion characteristics, and determine the oil spill impact area according to the real-time oil spill diffusion characteristics; among them, the real-time oil spill diffusion characteristics include the oil spill diffusion path and the oil spill diffusion range.

[0042] In the second aspect of the present invention, there is also provided an assessment system for the ecological harm of submarine cable oil spills to benthic organisms. The assessment system for the ecological harm of submarine cable oil spills to benthic organisms includes a memory and a processor. A program for an assessment method for the ecological harm of submarine cable oil spills to benthic organisms is stored in the memory. When the assessment system for the ecological harm of submarine cable oil spills to benthic organisms is executed by the processor, the following steps are implemented:

[0043] Obtain the oil spill impact area of the submarine oil-filled cable;

[0044] Obtain the field investigation results and simulated toxicity experiment results of the oil spill impact area. The field investigation results are the marine environmental parameters and the survival parameters of the target benthic organisms in the oil spill impact area. The simulated toxicity experiment results are the indoor toxicity experiment results of the dominant groups of the target benthic organisms with respect to the insulating oil of the submarine cable;

[0045] Using the field investigation results and the simulated toxicity experiment results as inputs, a mixed assessment result of the ecological harm of the submarine cable oil spill to benthic organisms is obtained by using a mixed assessment model. The mixed assessment model is established based on the field investigation results and the simulated toxicity experiment results as parameter bases and the hazard assessment standard information of the submarine cable oil spill as the assessment standard.

[0046] Furthermore, the construction process of the mixed assessment model includes the following steps:

[0047] Construct parameterized basic simulation frameworks according to the field investigation results and the simulated toxicity experiment results respectively to obtain a first parameterized framework and a second parameterized framework;

[0048] Based on the hazard assessment standard information, adapt the best network layer, activation function, loss function, and regularization method for the first parameterized framework and the second parameterized framework. Construct an assessment model according to the best network layer, activation function, loss function, and regularization method to obtain an initial mixed assessment model;

[0049] Import the field investigation results and the simulated toxicity experiment results into the initial mixed assessment model for training and evaluation, obtain the final loss change value of the oil spill hazard assessment result, and analyze and optimize the trained initial mixed assessment model through the final loss change value to obtain the mixed assessment model for the ecological harm of the submarine cable oil spill to benthic organisms.

[0050] In summary, the present invention provides a method and system for evaluating the ecological harm of submarine cable oil spills to benthic organisms. The method includes obtaining the oil spill impact area of a submarine oil-filled cable; obtaining the field investigation results and simulated toxicity test results of the oil spill impact area, where the field investigation results are the marine environmental parameters of the oil spill impact area and the survival parameters of the target benthic organisms, and the simulated toxicity test results are the indoor toxicity test results of the dominant groups of the target benthic organisms with respect to the insulating oil of the submarine cable; using the field investigation results and the simulated toxicity test results as inputs, and obtaining a mixed evaluation result of the ecological harm of the submarine cable oil spill to benthic organisms by using a mixed evaluation model, where the mixed evaluation model is established based on the field investigation results and the simulated toxicity test results as parameter bases and the harm evaluation standard information of the submarine cable oil spill as the evaluation standard. The present invention can quantify and evaluate the toxic effects of submarine oil-filled cable oil spills on benthic organisms in the affected sea area with the field investigation and indoor simulated toxicity test results as parameters, and provide a scientific basis for reducing the potential ecological risks brought by oil spills from oil-filled submarine cables. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0052] Figure 1 The first method flowchart of a method for evaluating the ecological harm of submarine cable oil spills to benthic organisms provided by an embodiment of the present invention;

[0053] Figure 2 The second method flowchart of a method for evaluating the ecological harm of submarine cable oil spills to benthic organisms provided by an embodiment of the present invention;

[0054] Figure 3 The second method flowchart of a method for evaluating the ecological harm of submarine cable oil spills to benthic organisms provided by an embodiment of the present invention;

[0055] Figure 4 The second method flowchart of a method for evaluating the ecological harm of submarine cable oil spills to benthic organisms provided by an embodiment of the present invention;

[0056] Figure 5 The system framework diagram of a system for evaluating the ecological harm of submarine cable oil spills to benthic organisms provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0057] To make the objectives, features, and advantages of the present invention more apparent and understandable, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the embodiments described below are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0058] Please refer to Figure 1 , the embodiments of the present invention provide a method for evaluating the ecological hazards of submarine cable oil spills to benthic organisms, including the following steps:

[0059] S1: Obtain the oil spill impact area of the submarine oil-filled cable;

[0060] S2: Obtain the field investigation results and simulated toxicity test results of the oil spill impact area. The field investigation results are the marine environmental parameters and the survival parameters of the target benthic organisms in the oil spill impact area. The simulated toxicity test results are the indoor toxicity test results of the dominant groups of the target benthic organisms with respect to the submarine cable insulating oil;

[0061] S3: Use the field investigation results and the simulated toxicity test results as inputs, and obtain the mixed evaluation result of the ecological hazards of the submarine cable oil spill to benthic organisms by using a mixed evaluation model. The mixed evaluation model is established based on the field investigation results and the simulated toxicity test results as parameter bases and the hazard evaluation standard information of the submarine cable oil spill as the evaluation standard.

[0062] As mentioned above, excessive cable insulating oil can cause harm to marine benthic organisms, leading to their death or restricted growth. This will disrupt the ecological balance of marine organisms, affect marine biodiversity and species distribution. Secondly, these toxic substances may enter the food chain and gradually accumulate from the lowest-level organisms upwards. Marine organisms highly enriched with cable insulating oil may ultimately be consumed, thereby threatening human health. The toxicity substances increase step by step in the food chain, which may cause many health problems, including neurotoxicity, cancer, and reproductive problems, etc.

[0063] Since most of the existing assessment models for the hazards of marine oil spills are proposed for ship pollution, land source pollution, etc., the usage conditions and assessment methods are difficult to be applicable to the assessment of the toxic effects of submarine cable insulating oil on marine organisms. Therefore, in an assessment method for the ecological hazards of submarine cable oil spills provided in this embodiment, a hybrid assessment model is proposed. This model is constructed based on the field investigation results and the simulated toxicity experiment results as parameter bases and the hazard assessment standard information of submarine cable oil spills as the assessment standard. Based on this model, the present invention can quantify the toxic effects of submarine oil-filled cable oil spills on benthic organisms in the affected sea area with the field investigation and indoor simulated toxicity experiment results as parameters, providing a scientific basis for reducing the potential ecological risks brought by oil spills from oil-filled submarine cables.

[0064] Please refer to Figure 2 , in a preferred embodiment of the present invention, the construction process of the hybrid assessment model includes the following steps:

[0065] S102: Obtain the oil spill rate of the submarine oil-filled cable, and at the same time obtain remote sensing data and ocean hydrological data. Combine the oil spill rate, remote sensing data, and ocean hydrological data to construct an oil spill diffusion model, and determine the oil spill impact area through the oil spill diffusion model;

[0066] S104: Obtain the marine environmental parameters and the survival parameters of the target benthic organisms in the oil spill impact area through field investigations in the oil spill impact area, and define them as the field investigation results. Based on the field investigation results, conduct indoor toxicity experiments on the dominant groups of the target benthic organisms with submarine cable insulating oil to obtain the simulated toxicity experiment results. Construct parameterized basic simulation frameworks according to the field investigation results and the simulated toxicity experiment results to obtain a first parameterized framework and a second parameterized framework;

[0067] S106: Obtain the hazard assessment standard information of submarine cable oil spills, adapt the best network layer, activation function, loss function, and regularization method for the first parameterized framework and the second parameterized framework based on the hazard assessment standard information, and construct an assessment model according to the best network layer, activation function, loss function, and regularization method to obtain an initial hybrid assessment model;

[0068] S108: Import the field investigation results and the simulated toxicity experiment results into the initial hybrid assessment model for training and evaluation, obtain the final loss change value of the oil spill hazard assessment result, and analyze and optimize the trained initial hybrid assessment model through the final loss change value to obtain a hybrid assessment model for the ecological hazards of submarine cable oil spills to benthic organisms.

[0069] In a preferred embodiment of the present invention, the oil spill rate of the submarine oil-filled cable is obtained, and at the same time, remote sensing data and ocean hydrological data are obtained. An oil spill diffusion model is constructed by combining the oil spill rate, remote sensing data, and ocean hydrological data. The oil spill impact area is determined through the oil spill diffusion model, which specifically includes the following steps:

[0070] Obtain the distribution area of the submarine oil-filled cable, and perform sonar detection on the distribution area of the submarine oil-filled cable through a sonar wave measurement device to obtain the oil spill rate of the submarine oil-filled cable;

[0071] Preset a target time period, and calculate the total oil spill volume within the target time period according to the oil spill rate of the submarine oil-filled cable to obtain the total oil spill volume;

[0072] Obtain the historical remote sensing data and historical ocean hydrological data of the distribution area of the submarine oil-filled cable, construct an initial diffusion model based on a multi-layer perceptron neural network, import the total oil spill volume into the initial diffusion model, and train and verify the diffusion of the total oil spill volume in the initial diffusion model based on the historical remote sensing data and historical ocean hydrological data to obtain the oil spill diffusion model;

[0073] Obtain the real-time remote sensing data and real-time ocean hydrological data of the distribution area of the submarine oil-filled cable, import the real-time remote sensing data and real-time ocean hydrological data into the oil spill diffusion model to obtain the real-time oil spill diffusion characteristics, and determine the oil spill impact area according to the real-time oil spill diffusion characteristics; wherein, the real-time oil spill diffusion characteristics include the oil spill diffusion path and the oil spill diffusion range.

[0074] It should be noted that the submarine oil-filled cable is generally buried about 1 meter deep under the sea. Therefore, when the insulating oil in the oil-filled cable leaks under the sea, the insulating oil will gradually spread outwards, causing a certain area of the seabed to be polluted, which will cause the benthic organisms in this area to be affected by the insulating oil and die or have limited growth, which is not conducive to the reproduction and growth activities of benthic organisms; since the diffusion of insulating oil is closely related to the oil spill rate, oil spill time, remote sensing data of the ocean, and hydrological data, in other words, the oil spill rate and oil spill time determine the total oil spill volume, while the remote sensing data and hydrological data of the ocean are the key factors that cause the total oil spill volume to spread and fill a certain area. These aspects of factors can determine the ocean area that will ultimately be affected when an oil spill occurs in the submarine oil-filled cable; in order to more quickly determine the oil spill impact area, a multi-layer perceptron neural network can be used to train the oil spill rate, oil spill time, remote sensing data of the ocean, and hydrological data to further construct an oil spill diffusion model. The oil spill diffusion model can greatly shorten the operation time for determining the area prone to influence and improve the efficiency. The present invention can quickly determine the oil spill impact area when an oil spill occurs in the submarine oil-filled cable, thereby facilitating further field investigations of the ecological environment of benthic organisms in the oil spill impact area and improving the construction accuracy of the evaluation model.

[0075] In a preferred embodiment of the present invention, the marine environmental parameters of the oil spill affected area and the survival parameters of the target benthic organisms are obtained through field investigations in the oil spill affected area, and are defined as the field investigation results. Based on the field investigation results, indoor toxicity experiments of submarine cable insulating oil are carried out on the dominant groups of the target benthic organisms to obtain simulated toxicity experiment results. According to the field investigation results and the simulated toxicity experiment results, parametric basic simulation frameworks are constructed respectively to obtain the first parametric framework and the second parametric framework, which specifically include the following steps:

[0076] By investigating and monitoring the benthic organisms surviving in the oil spill affected area, the survival parameters of the target benthic organisms are obtained; among them, the survival parameters include species, density and biomass;

[0077] Several groups of the target benthic organisms are obtained, the hash algorithm is introduced to calculate the hash value of the survival parameters, and the hash value is obtained. At the same time, the preset hash thresholds of each group are obtained, the hash value is compared with the preset hash thresholds of each group, and the groups with the hash value greater than the preset hash threshold are extracted to obtain the dominant groups of the target benthic organisms;

[0078] By conducting field investigations in the oil spill affected area, the marine environmental parameters of the oil spill affected area are obtained, and the marine environmental parameters of the oil spill affected area are defined as the field investigation results; among them, the marine environmental parameters include temperature, salinity, pH value, dissolved oxygen content and nutrients;

[0079] According to the field investigation results, the natural environment of the oil spill affected area is simulated to obtain a simulated natural environment, and taking the dominant groups of the target benthic organisms as experimental objects, indoor toxicity experiments of submarine cable insulating oil on the experimental objects are carried out in the simulated natural environment to obtain toxicity experiment parameters, and the simulated toxicity experiment parameters are defined as the simulated toxicity experiment results; among them, the toxicity experiment parameters include the half-lethal concentration, the maximum non-effective concentration, the lowest effective concentration and the accumulation amount of insulating oil in the experimental objects;

[0080] According to the field investigation results and the simulated toxicity experiment results, parametric basic simulation frameworks are constructed, and the field investigation results and the simulated toxicity experiment results are imported into the parametric basic simulation frameworks for fitting to obtain the first parametric framework and the second parametric framework.

[0081] It should be noted that since the final required hybrid evaluation model is mainly used to quantitatively evaluate the toxic effects of oil spills from submarine oil-filled cables on benthic organisms in the affected sea areas, sufficient field investigations and the results of indoor simulated toxicity experiments are required as the parameter basis for constructing and training the model to ensure the accuracy of the hybrid evaluation model. Among them, the dominant groups of benthic organisms should be selected as the experimental objects for the indoor toxicity experiment to ensure the reliability of the toxicity experiment parameters and reduce the experimental errors caused by the inferior groups. The selection of the dominant groups is determined by further calculating and screening the survival parameters of benthic organisms living in the oil spill affected area through the hash algorithm to avoid the mixing of inferior groups in the experimental objects and improve the data accuracy of the simulated toxicity experiment results. Since the results of field investigations and indoor simulated toxicity experiments are ultimately applied to the construction of the hybrid evaluation model and can parametrically simulate the toxic effects of oil spills from submarine oil-filled cables on benthic organisms in the affected sea areas, the results of field investigations and indoor simulated toxicity experiments can be pre-parametrically fitted and constructed into the basic simulation framework to obtain the first parametric framework and the second parametric framework, and then the first parametric framework and the second parametric framework are used to design the hybrid evaluation model, thus reducing the cumbersome data operation steps and time for model construction, improving the model construction efficiency, reducing the calculation error of the hybrid evaluation model, and having high reliability.

[0082] In a preferred embodiment of the present invention, a parametric basic simulation framework is constructed according to the field investigation results and the simulated toxicity experiment results, and the field investigation results and the simulated toxicity experiment results are imported into the parametric basic simulation framework for fitting to obtain the first parametric framework and the second parametric framework, which specifically include the following steps:

[0083] Set the parametric simulation of the toxic effects of submarine cable oil spills on benthic organisms as the test case characteristics, and calculate the test case characteristics based on the test execution algorithm to generate a test framework;

[0084] Obtain the parameter storage method of the field investigation results and the simulated toxicity experiment results, define the parameter storage method as a retrieval tag, and import the retrieval tag into the big data network for retrieval;

[0085] After the retrieval is completed, obtain the parametric structure of the field investigation results and the simulated toxicity experiment results, write the corresponding parametric logic code according to the parametric structure of the field investigation results and the simulated toxicity experiment results and the parameter storage method, and integrate the parametric logic code into the test framework;

[0086] Verify whether the parametric logic code can normally execute the test case characteristics in the test framework. If it fails to execute normally, readjust the parametric logic code and integrate it into the test framework for the second time, and finally obtain the first parametric framework and the second parametric framework.

[0087] It should be noted that since the results of field investigations and indoor simulated toxicity experiments are ultimately applied to the construction of a hybrid assessment model and can parametrically simulate the toxicity effects of oil spills from submarine oil-filled cables on benthic organisms in the affected sea areas, the results of field investigations and simulated toxicity experiments can be fitted into a parametric basic simulation framework in advance, thus greatly shortening the data operation and time for model construction. For the steps of converting the results of field investigations and simulated toxicity experiments into a parametric framework, first, set the parametric simulation of the toxicity effects of submarine cable oil spills on benthic organisms as a test case feature to generate a test framework. Then, write the corresponding parametric logic code according to the parameter storage method and parametric structure of the results of field investigations and simulated toxicity experiments, apply the logic code to the test framework and verify it. If it fails to execute normally, readjust the parametric logic code and re-integrate it into the test framework for the second time to obtain the first parametric framework and the second parametric framework. The present invention can convert the results of field investigations and simulated toxicity experiments into a parametric framework, thereby using the parametric framework to design the structure of the hybrid assessment model, improving the construction efficiency and parametric simulation accuracy of the hybrid assessment model, and having high reliability.

[0088] In a preferred embodiment of the present invention, obtain the hazard assessment standard information of submarine cable oil spills, adapt the best network layer, activation function, loss function, and regularization method for the first parametric framework and the second parametric framework based on the hazard assessment standard information, and construct an assessment model according to the best network layer, activation function, loss function, and regularization method to obtain an initial hybrid assessment model, as Figure 3 shown, specifically including the following steps:

[0089] S202: Obtain the hazard assessment standard information of submarine cable oil spills, and obtain the network layer, activation function, loss function, and regularization method for model construction of the first parametric framework and the second parametric framework through a big data network;

[0090] S204: Introduce an analytic hierarchy process algorithm to calculate the hazard assessment standard information, decompose the hazard assessment standard information into different hierarchical structures, construct a comparison matrix in each hierarchical structure, calculate the weight vectors of each comparison matrix, and finally multiply the weight vectors to obtain the weight coefficient of the hazard assessment standard information;

[0091] S206: Based on the weight coefficient of the hazard assessment standard information, adaptively screen the network layer, activation function, loss function, and regularization method to obtain the best network layer, activation function, loss function, and regularization method;

[0092] S208: Introduce a deep learning algorithm, design the underlying structure of the evaluation model in the deep learning algorithm according to the optimal network layer, activation function, loss function, and regularization method, and preset the evaluation parameter threshold based on the hazard evaluation standard information. Embed the evaluation parameter threshold into the underlying structure of the evaluation model to obtain an initial hybrid evaluation model.

[0093] It should be noted that the first parameterization framework and the second parameterization framework are respectively the parameterization simulation bases for the field investigation results and the simulated toxicity experiment results. The first parameterization framework and the second parameterization framework can be directly used to construct a hybrid evaluation model for evaluating the toxicity effect of the oil spill from the submarine oil-filled cable on the benthic organisms in the affected sea area. Since the hybrid evaluation model is mainly used for evaluation, a preset hazard evaluation standard for submarine cable oil spills is required for reference. Moreover, when designing the structure of the hybrid evaluation model through the first parameterization framework and the second parameterization framework, appropriate and optimal network layer, activation function, loss function, and regularization method need to be matched. Therefore, the weight coefficient of the hazard evaluation standard information needs to be calculated through the analytic hierarchy process algorithm, and based on the weight coefficient, appropriate and optimal network layer, activation function, loss function, and regularization method are further selected to design the underlying structure of the evaluation model, so as to improve the stability and reliability of the hybrid evaluation model. The present invention can design the structure of the hybrid evaluation model through the first parameterization framework and the second parameterization framework generated from the field investigation results and the simulated toxicity experiment results, obtain the initial hybrid evaluation model, and further achieve the purpose of quantitatively evaluating the toxicity effect of the oil spill from the submarine oil-filled cable on the benthic organisms in the affected sea area based on the field investigation and the results of the indoor simulated toxicity experiment, and improve the stability and accuracy of the hybrid evaluation model.

[0094] In a preferred embodiment of the present invention, the field investigation results and the simulated toxicity experiment results are imported into the initial hybrid evaluation model for training and evaluation, and the final loss change value of the oil spill hazard evaluation result is obtained. Analyze and optimize the trained initial hybrid evaluation model through the final loss change value to obtain a hybrid evaluation model for the ecological hazard of the submarine cable oil spill to benthic organisms, as Figure 4 shown, which specifically includes the following steps:

[0095] S302: Divide the field investigation results and the simulated toxicity experiment results into a uniform training set and a test set, and import the training set into the initial hybrid evaluation model for training to obtain the trained initial hybrid evaluation model, monitor the loss change during the training process, and obtain the training loss change value;

[0096] S304: Preset an allowable loss change interval based on the training loss change value, import the test set into the trained initial hybrid evaluation model for evaluation, generate an oil spill hazard evaluation result, and simultaneously obtain the final loss change value of the oil spill hazard evaluation result;

[0097] S306: Determine whether the final loss change value is within the allowable loss change range. If it is, it indicates that there is no error in the evaluation of the impact of submarine cable oil spills on benthic biological ecology by the initially trained hybrid evaluation model, and no optimization is required;

[0098] S308: If it is not, it indicates that there is an error in the evaluation of the impact of submarine cable oil spills on benthic biological ecology by the initially trained hybrid evaluation model. Obtain the minimum allowable loss change value within the allowable loss change range, and calculate the Mahalanobis distance between the final loss change value and the minimum allowable loss change value;

[0099] S310: Optimize and correct the initially trained hybrid evaluation model based on the Mahalanobis distance to finally obtain a hybrid evaluation model for the impact of submarine cable oil spills on benthic biological ecology.

[0100] It should be noted that the initially trained hybrid evaluation model is a preliminary prototype of the hybrid evaluation model, and it needs to be further trained and verified by importing parameters of field investigation results and parameters of simulated toxicity experiment results into the initially trained hybrid evaluation model to achieve evaluation accuracy; during the process of training and testing the initially trained hybrid evaluation model with parameters of field investigation results and parameters of simulated toxicity experiment results, there will be a phenomenon of loss change of parameters. Since the purpose of training is to enable the model to evaluate better, the parameter loss change value during the training process of the initially trained hybrid evaluation model reflects the accuracy of model training. Therefore, an allowable loss change range can be preset according to the training loss change value. Among them, the allowable loss change range is the allowable error range of the loss change value generated during the evaluation and testing after the initially trained hybrid evaluation model is completed. Evaluate and test the initially trained hybrid evaluation model to obtain the final loss change value of the oil spill hazard evaluation result. If the final loss change value is within the allowable loss change range, it indicates that there is no error in the evaluation of the impact of submarine cable oil spills on benthic biological ecology by the initially trained hybrid evaluation model, and no optimization is required and the constructed hybrid evaluation model can be directly output; if it is not, it indicates that there is an error in the evaluation of the impact of submarine cable oil spills on benthic biological ecology by the initially trained hybrid evaluation model, and the initially trained hybrid evaluation model is optimized and corrected to ensure the accuracy and reliability of the constructed hybrid evaluation model and reduce the error rate of quantitatively evaluating the toxicity effect of submarine oil-filled cable oil spills on benthic organisms in the affected sea area.

[0101] In addition, a method for evaluating the impact of submarine cable oil spills on benthic organisms further includes the following steps:

[0102] Obtain maintenance plans associated with submarine oil-filled cable oil spills based on a big data network, and at the same time obtain the historical maintenance success rates corresponding to each maintenance plan;

[0103] If the historical maintenance success rate is greater than the preset maintenance success rate, extract the maintenance plan corresponding to the historical maintenance success rate greater than the preset maintenance success rate to obtain the maintenance plan after the first screening;

[0104] Obtain the oil spill depth information of the current submarine oil-filled cable, introduce the Kendall rank correlation coefficient to calculate the correlation coefficient between the oil spill depth information and each maintenance plan in the maintenance plan after the first screening, and determine the maintenance applicability of each maintenance plan and the oil spill depth information according to the correlation coefficient;

[0105] Eliminate the maintenance plans after the first screening corresponding to the maintenance applicability lower than the preset maintenance applicability, and integrate the remaining maintenance plans to obtain the maintenance plan after the second screening;

[0106] Obtain the maintenance success rate corresponding to the maintenance plan after the second screening, construct a descending order list, and import the maintenance success rate corresponding to the maintenance plan after the second screening into the descending order list for descending order;

[0107] After the descending order is completed, extract the maintenance plan after the second screening corresponding to the maximum maintenance success rate as the emergency maintenance plan for the current submarine oil-filled cable oil spill accident for output.

[0108] It should be noted that when an oil spill accident occurs to a submarine oil-filled cable at the seabed, it will seriously threaten the survival and reproduction of benthic organisms, and at the same time pollute a certain range of marine environment. Marine organisms with high enrichment of cable insulating oil may ultimately be eaten, thus threatening human health. The oil spill accident of submarine oil-filled cable belongs to a major-level dangerous accident, and corresponding professional maintenance plans need to be formulated for treatment and repair. There are various maintenance plans for the oil spill of submarine oil-filled cable, and the maintenance success rates of each maintenance plan are different. The principle of selecting the best should be followed to select the maintenance plan with a high maintenance success rate as the emergency plan for output; however, the selected maintenance plan is not applicable to the actual maintenance of the oil spill depth of the current submarine oil-filled cable. Therefore, it is necessary to calculate the maintenance applicability of the maintenance plan and the oil spill depth through the Kendall rank correlation coefficient to further screen the appropriate maintenance plan, so as to improve the maintenance reliability when an oil spill accident occurs to the submarine oil-filled cable, ensure the success of the oil spill maintenance of the oil-filled cable, and reduce the occurrence of maintenance accidents.

[0109] The above is a detailed introduction to the embodiments of a method for evaluating the ecological harm of submarine cable oil spill to benthic organisms of the present invention. The following is a detailed introduction to the embodiments of an evaluation system for the ecological harm of submarine cable oil spill to benthic organisms of the present invention.

[0110] Please refer to Figure 5, this embodiment provides an assessment system for the harm of submarine cable oil spills to benthic organisms. An assessment system for the harm of submarine cable oil spills to benthic organisms includes a memory 51 and a processor 52. A program for the assessment method of the harm of submarine cable oil spills to benthic organisms is stored in the memory 51. When the program for the assessment method of the harm of submarine cable oil spills to benthic organisms is executed by the processor 52, as Figure 5 shown, the following steps are implemented:

[0111] Obtain the oil spill impact area of the submarine oil-filled cable;

[0112] Obtain the field investigation results and simulated toxicity experiment results of the oil spill impact area. The field investigation results are the marine environmental parameters and the survival parameters of the target benthic organisms in the oil spill impact area. The simulated toxicity experiment results are the indoor toxicity experiment results of the dominant groups of the target benthic organisms with respect to the insulating oil of the submarine cable;

[0113] Using the field investigation results and the simulated toxicity experiment results as inputs, a mixed evaluation result of the ecological harm of submarine cable oil spills to benthic organisms is obtained by using a mixed evaluation model. The mixed evaluation model is established based on the field investigation results and the simulated toxicity experiment results as parameter bases and the harm assessment standard information of submarine cable oil spills as the evaluation standard.

[0114] In a preferred embodiment of the present invention, the construction process of the mixed evaluation model includes the following steps:

[0115] Construct parameterized basic simulation frameworks according to the field investigation results and the simulated toxicity experiment results respectively to obtain a first parameterized framework and a second parameterized framework;

[0116] Based on the harm assessment standard information, adapt the best network layer, activation function, loss function, and regularization method for the first parameterized framework and the second parameterized framework. Construct an evaluation model according to the best network layer, activation function, loss function, and regularization method to obtain an initial mixed evaluation model;

[0117] Import the field investigation results and the simulated toxicity experiment results into the initial mixed evaluation model for training and evaluation, obtain the final loss change value of the oil spill harm assessment result, and analyze and optimize the trained initial mixed evaluation model through the final loss change value to obtain a mixed evaluation model for the ecological harm of submarine cable oil spills to benthic organisms.

[0118] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for assessing the ecological hazards of submarine cable oil spills to benthic organisms, characterized in that: The steps include: Obtaining the oil spill impact area of ​​submarine oil-filled cables; Obtaining field survey results and simulated toxicity test results for the oil spill affected area, wherein the field survey results are marine environmental parameters for the oil spill affected area and survival parameters for target benthic organisms, and the simulated toxicity test results are indoor toxicity test results for dominant groups of the target benthic organisms on submarine cable insulating oil; The field survey results and the simulated toxicity test results are used as inputs, and a hybrid assessment model is used to obtain a hybrid assessment result of the ecological hazard of submarine cable oil spills to benthic organisms. The hybrid assessment model is established based on the field survey results and the simulated toxicity test results as parameter basis for model construction, and based on the hazard assessment standard information of submarine cable oil spills as the assessment standard for model construction; The hybrid assessment model is constructed based on the first parameterized framework and the second parameterized framework; The first parameterized framework and the second parameterized framework are obtained by constructing parameterized basic simulation frameworks based on the field survey results and the simulated toxicity experiment results, respectively. The construction process specifically includes: By investigating and monitoring benthic organisms living in the oil spill affected area, survival parameters of target benthic organisms are obtained; wherein the survival parameters include species, density and biomass; Acquire several groups of target benthic organisms, introduce a hash algorithm to calculate the hash value of the survival parameter to obtain a hash value, and simultaneously obtain a preset hash threshold of each group, compare the hash value with the preset hash threshold of each group, and extract the group whose hash value is greater than the preset hash threshold to obtain the dominant group of the target benthic organisms; Conducting a field survey of the oil spill affected area to obtain marine environmental parameters of the oil spill affected area, and defining the marine environmental parameters of the oil spill affected area as field survey results; wherein the marine environmental parameters include temperature, salinity, pH value, dissolved oxygen, nutrients and chlorophyll; According to the field survey results, the natural environment of the oil spill affected area is simulated to obtain a simulated natural environment, and the dominant groups of the target benthic organisms are used as experimental objects, and indoor toxicity experiments of submarine cable insulating oil on the experimental objects are carried out in the simulated natural environment to obtain toxicity experimental parameters, and the simulated toxicity experimental parameters are defined as simulated toxicity experimental results; wherein the toxicity experimental parameters include a median lethal concentration, a maximum no-effect concentration, a minimum effective concentration, and the amount of insulating oil accumulated in the body of the experimental object; A parameterized basic simulation framework is constructed according to the field survey results and the simulated toxicity experiment results, and the field survey results and the simulated toxicity experiment results are imported into the parameterized basic simulation framework for fitting to obtain a first parameterized framework and a second parameterized framework.

2. The method for assessing the ecological hazards of submarine cable oil spills to benthic organisms according to claim 1, characterized in that: The construction process of the hybrid evaluation model includes the following steps: Constructing parameterized basic simulation frameworks according to the field survey results and the simulated toxicity experiment results to obtain a first parameterized framework and a second parameterized framework; Adapting the first parameterized framework and the second parameterized framework to the best network layer, activation function, loss function, and regularization method based on the hazard assessment standard information, constructing an assessment model according to the best network layer, activation function, loss function, and regularization method, and obtaining an initial hybrid assessment model; The field survey results and the simulated toxicity experiment results are imported into the initial hybrid assessment model for training and evaluation to obtain the final loss change value of the oil spill hazard assessment result. The trained initial hybrid assessment model is analyzed and tuned by the final loss change value to obtain a hybrid assessment model for the ecological hazard of submarine cable oil spill to benthic organisms.

3. The method for assessing the ecological hazards of submarine cable oil spills to benthic organisms according to claim 1, characterized in that: A parameterized basic simulation framework is constructed according to the field survey results and the simulated toxicity experiment results, and the field survey results and the simulated toxicity experiment results are imported into the parameterized basic simulation framework for fitting to obtain a first parameterized framework and a second parameterized framework, which specifically includes the following steps: The toxic effect of the parameterized simulated submarine cable oil spill on benthic organisms is set as a test case characteristic, and the test case characteristic is calculated based on a test execution algorithm to generate a test framework; Obtaining a parameter storage method of the field survey results and the simulated toxicity test results, defining the parameter storage method as a retrieval tag, and importing the retrieval tag into a big data network for retrieval; After the search is completed, the parameterized structure of the field survey results and the simulated toxicity experiment results is obtained, and the corresponding parameterized logic code is written according to the parameterized structure of the field survey results and the simulated toxicity experiment results and the parameter storage method, and the parameterized logic code is integrated into the test framework; Verify whether the parameterized logic code can normally execute the test case characteristics in the test framework. If it fails to execute normally, the parameterized logic code is readjusted and integrated into the test framework for a second time, and finally a first parameterized framework and a second parameterized framework are obtained.

4. The method for assessing the ecological hazards of submarine cable oil spills to benthic organisms according to claim 2, characterized in that: Adapting the first parameterized framework and the second parameterized framework to the best network layer, activation function, loss function and regularization method based on the hazard assessment standard information, constructing an assessment model according to the best network layer, activation function, loss function and regularization method, and obtaining an initial hybrid assessment model, specifically includes the following steps: Obtain the standard information on the hazard assessment of submarine cable oil spills, and obtain the network layers, activation functions, loss functions, and regularization methods used in the first parameterized framework and the second parameterized framework for model construction through the big data network; Introducing a hierarchical analysis algorithm to calculate the hazard assessment standard information, decomposing the hazard assessment standard information into different hierarchical structures, constructing a comparison matrix in each of the hierarchical structures, and calculating the weight vector of each comparison matrix, and finally multiplying each weight vector to obtain a weight coefficient of the hazard assessment standard information; Adapting and screening the network layer, activation function, loss function and regularization method based on the weight coefficient of the hazard assessment standard information to obtain the best network layer, activation function, loss function and regularization method; A deep learning algorithm is introduced, and the underlying structure of the evaluation model is designed in the deep learning algorithm according to the optimal network layer, activation function, loss function and regularization method. The evaluation parameter threshold is preset based on the hazard assessment standard information, and the evaluation parameter threshold is embedded in the underlying structure of the evaluation model to obtain an initial hybrid evaluation model.

5. The method for assessing the ecological hazards of submarine cable oil spills to benthic organisms according to claim 2, characterized in that: The field survey results and the simulated toxicity experiment results are imported into the initial hybrid assessment model for training and evaluation, and the final loss change value of the oil spill hazard assessment result is obtained. The initial hybrid assessment model trained and optimized by the final loss change value is obtained to obtain a hybrid assessment model of the ecological hazard of submarine cable oil spill to benthic organisms, which specifically includes the following steps: Dividing the field survey results and the simulated toxicity experiment results into uniform training sets and test sets, and importing the training sets into the initial hybrid evaluation model for training to obtain a trained initial hybrid evaluation model, monitoring the loss changes during the training process, and obtaining a training loss change value; Based on the preset allowable loss change range of the training loss change value, the test set is imported into the trained initial hybrid assessment model for evaluation to generate an oil spill hazard assessment result, and the final loss change value of the oil spill hazard assessment result is obtained; Determine whether the final loss change value is within the allowable loss change range. If so, it indicates that the initial hybrid assessment model trained to assess the harm of submarine cable oil spill to benthic bioecology has no error and does not need to be tuned; If not, it means that the initial hybrid assessment model completed by training has errors in the assessment of the harm of submarine cable oil spill to benthic bioecology, and the minimum allowable loss change value of the allowable loss change interval is obtained, and the Mahalanobis distance between the final loss change value and the minimum allowable loss change value is calculated; The initial hybrid assessment model is tuned and modified based on the Mahalanobis distance, and finally a hybrid assessment model of the ecological hazard of submarine cable oil spill to benthic organisms is obtained.

6. The method for assessing the ecological hazards of submarine cable oil spills to benthic organisms according to claim 1, characterized in that: Obtain the oil spill impact area of ​​the submarine oil-filled cable, including: The oil spill velocity of the submarine oil-filled cable is obtained, and remote sensing data and ocean hydrological data are obtained at the same time. An oil spill diffusion model is constructed by combining the oil spill velocity, remote sensing data and ocean hydrological data, and the oil spill impact area is determined through the oil spill diffusion model.

7. The method for assessing the ecological hazards of submarine cable oil spills to benthic organisms according to claim 6, characterized in that: Obtaining the oil spill velocity of the submarine oil-filled cable, and simultaneously obtaining remote sensing data and ocean hydrological data, building an oil spill diffusion model in combination with the oil spill velocity, remote sensing data and ocean hydrological data, and determining the oil spill impact area through the oil spill diffusion model, specifically comprising the following steps: Obtaining a distribution area of ​​the submarine oil-filled cables, performing sonar detection on the distribution area of ​​the submarine oil-filled cables by using a sonar wave measuring device, and obtaining an oil spill velocity of the submarine oil-filled cables; Preset a target time period, calculate the amount of oil spilled within the target time period according to the oil spill speed of the submarine oil-filled cable, and obtain the total amount of oil spilled; Obtaining historical remote sensing data and historical ocean hydrological data of the distribution area of ​​submarine oil-filled cables, constructing an initial diffusion model based on a multi-layer perceptron neural network, importing the total oil spill volume into the initial diffusion model, and training and verifying the diffusion of the total oil spill volume in the initial diffusion model based on the historical remote sensing data and the historical ocean hydrological data, to obtain an oil spill diffusion model; Real-time remote sensing data and real-time ocean hydrological data of the submarine oil-filled cable distribution area are obtained, and the real-time remote sensing data and real-time ocean hydrological data are imported into the oil spill diffusion model to obtain real-time oil spill diffusion characteristics, and the oil spill impact area is determined according to the real-time oil spill diffusion characteristics; wherein the real-time oil spill diffusion characteristics include the oil spill diffusion path and the oil spill diffusion range.

8. An evaluation system for the ecological hazards of submarine cable oil spills to benthic organisms, characterized in that: The system for assessing the ecological hazards of submarine cable oil spills to benthic organisms comprises a memory and a processor, wherein the memory stores a program for assessing the ecological hazards of submarine cable oil spills to benthic organisms, and when the system for assessing the ecological hazards of submarine cable oil spills to benthic organisms is executed by the processor, the following steps are implemented: Obtaining the oil spill impact area of ​​submarine oil-filled cables; Obtaining field survey results and simulated toxicity test results for the oil spill affected area, wherein the field survey results are marine environmental parameters for the oil spill affected area and survival parameters for target benthic organisms, and the simulated toxicity test results are indoor toxicity test results for dominant groups of the target benthic organisms on submarine cable insulating oil; The field survey results and the simulated toxicity test results are used as inputs, and a hybrid assessment model is used to obtain a hybrid assessment result of the ecological hazard of submarine cable oil spills to benthic organisms. The hybrid assessment model is established based on the field survey results and the simulated toxicity test results as parameter basis for model construction, and based on the hazard assessment standard information of submarine cable oil spills as the assessment standard for model construction; The hybrid assessment model is constructed based on the first parameterized framework and the second parameterized framework; The first parameterized framework and the second parameterized framework are obtained by constructing parameterized basic simulation frameworks based on the field survey results and the simulated toxicity experiment results, respectively. The construction process specifically includes: By investigating and monitoring benthic organisms living in the oil spill affected area, survival parameters of target benthic organisms are obtained; wherein the survival parameters include species, density and biomass; Acquire several groups of target benthic organisms, introduce a hash algorithm to calculate the hash value of the survival parameter to obtain a hash value, and simultaneously obtain a preset hash threshold of each group, compare the hash value with the preset hash threshold of each group, and extract the group whose hash value is greater than the preset hash threshold to obtain the dominant group of the target benthic organisms; Conducting a field survey of the oil spill affected area to obtain marine environmental parameters of the oil spill affected area, and defining the marine environmental parameters of the oil spill affected area as field survey results; wherein the marine environmental parameters include temperature, salinity, pH value, dissolved oxygen, nutrients and chlorophyll; According to the field survey results, the natural environment of the oil spill affected area is simulated to obtain a simulated natural environment, and the dominant groups of the target benthic organisms are used as experimental objects, and indoor toxicity experiments of submarine cable insulating oil on the experimental objects are carried out in the simulated natural environment to obtain toxicity experimental parameters, and the simulated toxicity experimental parameters are defined as simulated toxicity experimental results; wherein the toxicity experimental parameters include a median lethal concentration, a maximum no-effect concentration, a minimum effective concentration, and the amount of insulating oil accumulated in the body of the experimental object; A parameterized basic simulation framework is constructed according to the field survey results and the simulated toxicity experiment results, and the field survey results and the simulated toxicity experiment results are imported into the parameterized basic simulation framework for fitting to obtain a first parameterized framework and a second parameterized framework.

9. The system for assessing the ecological hazards of submarine cable oil spills to benthic organisms according to claim 8, characterized in that: The construction process of the hybrid evaluation model includes the following steps: Constructing parameterized basic simulation frameworks according to the field survey results and the simulated toxicity experiment results to obtain a first parameterized framework and a second parameterized framework; Adapting the first parameterized framework and the second parameterized framework to the best network layer, activation function, loss function, and regularization method based on the hazard assessment standard information, constructing an assessment model according to the best network layer, activation function, loss function, and regularization method, and obtaining an initial hybrid assessment model; The field survey results and the simulated toxicity experiment results are imported into the initial hybrid assessment model for training and evaluation to obtain the final loss change value of the oil spill hazard assessment result. The trained initial hybrid assessment model is analyzed and tuned by the final loss change value to obtain a hybrid assessment model for the ecological hazard of submarine cable oil spill to benthic organisms.

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