An evaluation method and device for a marine emergency rescue scheme

Abstract

The application discloses a kind of methods and devices for evaluation of offshore emergency rescue scheme, the method includes: obtaining rescue target information set and offshore emergency rescue information set of offshore emergency rescue scheme;The offshore emergency rescue information set includes offshore emergency rescue information;The offshore emergency rescue information includes the equipment information set of the offshore emergency rescue scheme in participating in once offshore emergency rescue, effect information set, environmental parameter set, personnel safety parameter set;The offshore emergency rescue information set is preprocessed, and preprocessing information set is obtained;The preprocessing information set is evaluated and handled, and rescue scheme comprehensive evaluation result information is obtained;The rescue scheme comprehensive evaluation result information is used to evaluate the rationality degree of the offshore emergency rescue scheme.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of marine emergency rescue, in particular to a method and device for evaluating a marine emergency rescue scheme. BACKGROUND

[0002] Marine safety incidents are usually sudden and disastrous, compared with general rescue operations, have the characteristics of variable search and rescue environment, difficulty in determining the search area, high time efficiency requirement for rescuing the distressed personnel, and complex coordination of search and rescue forces. Therefore, marine emergency rescue is a complex and important work involving many links and factors. An effective marine emergency rescue scheme is crucial to protect the life safety and property safety of marine personnel. However, the current evaluation method for marine emergency rescue scheme is not perfect, and there is a lack of quantitative evaluation means from multiple angles. The traditional evaluation method of marine emergency rescue often relies on the experience and subjective judgment of experts, and has certain limitations and uncertainties. Therefore, there is an urgent need for a method and device that can comprehensively, objectively and quantitatively evaluate the marine emergency rescue scheme. SUMMARY

[0003] The purpose of the present application is to provide a method and device for evaluating a marine emergency rescue scheme, which can quantitatively evaluate the scheme from multiple angles according to the known technical process parameters of the marine emergency rescue scheme, and provide a scientific basis for the formulation and optimization of the marine emergency rescue scheme.

[0004] In a first aspect, the present application discloses a method for evaluating a marine emergency rescue scheme, comprising:

[0005] S1, obtaining a set of rescue target information and a set of marine emergency rescue information of the marine emergency rescue scheme; the set of marine emergency rescue information comprises marine emergency rescue information;

[0006] The marine emergency rescue information comprises a set of equipment information, a set of effect information, a set of environmental parameters, and a set of personnel safety parameters of the marine emergency rescue scheme in participating in a marine emergency rescue; the set of rescue target information comprises preset target information of each marine emergency rescue; the set of rescue target information has corresponding marine emergency rescue information;

[0007] S2, preprocessing the set of marine emergency rescue information to obtain a set of preprocessed information;

[0008] S3, evaluating and processing the set of preprocessed information to obtain a comprehensive evaluation result information of the rescue scheme; the comprehensive evaluation result information of the rescue scheme is used to evaluate the rationality degree of the marine emergency rescue scheme.

[0009] The pre-processing of the marine emergency rescue information set obtains a pre-processed information set, which comprises:

[0010] S21, outlier elimination processing is performed on the marine emergency rescue information set to obtain a first information set;

[0011] S22, category checking processing is performed on the first information set to obtain a second information set;

[0012] S23, numerical encoding processing is performed on the second information set to obtain a third information set;

[0013] S24, data reduction processing is performed on the third information set to obtain a fourth information set.

[0014] The evaluation processing of the pre-processed information set obtains a rescue scheme comprehensive evaluation result information, which comprises:

[0015] S31, environment quantitative evaluation processing is performed on the environment parameter set to obtain an environment complexity evaluation value set;

[0016] S32, based on the environment complexity evaluation value set, running state evaluation processing is performed on the equipment information set to obtain a technical evaluation value;

[0017] S33, based on the rescue target information set and the environment complexity evaluation value set, completion degree evaluation is performed on the effect information set to obtain a completion degree evaluation value;

[0018] S34, based on the environment complexity evaluation value set, safety evaluation processing is performed on the personnel safety parameter set to obtain a safety evaluation value;

[0019] S35, using a preset weight factor vector, the technical evaluation value, the completion degree evaluation value and the safety evaluation value are weighted and summed to obtain a rescue scheme comprehensive evaluation value;

[0020] S36, using the rescue scheme comprehensive evaluation value, the technical evaluation value, the completion degree evaluation value and the safety evaluation value, a rescue scheme comprehensive evaluation result information is constructed.

[0021] The expression of the environment quantitative evaluation processing is:

[0022]

[0023] Wherein, a i , b i , c i are the sea state information, wind value and visibility value in the i-th environment parameter set, which are also the sea state information, wind value and visibility value of the i-th marine emergency rescue, and p iis the environment complexity evaluation value corresponding to the ith set of environment parameters, b max is the maximum wind power value, and ∈ and τ are respectively a first constant factor and a second constant factor, and c0 is a standard visibility value.

[0024] The environment complexity evaluation value set is constructed using the environment complexity evaluation values corresponding to all sets of environment parameters.

[0025] The running state evaluation processing is performed on the set of device information based on the set of environment complexity evaluation values to obtain a technical evaluation value, including:

[0026] S321, a set of standard state time series of rescue devices is obtained; the set of standard state time series of rescue devices includes standard running state time series of all types of rescue devices; the standard running state time series includes a running state index sequence value, a standard use efficiency value and a standard consumption value of a type of device;

[0027] S322, a rescue device state evaluation model is obtained by performing feature fitting processing on the set of standard state time series of rescue devices;

[0028] S323, a rescue device running state value of each set of device information is calculated based on the rescue device state evaluation model to obtain a corresponding device running state evaluation value;

[0029] S234, the set of environment complexity evaluation values is used to perform weighted summation with the device running state evaluation value of each set of device information to obtain a technical evaluation value.

[0030] The set of standard state time series of rescue devices is processed by feature fitting to obtain a rescue device state evaluation model, including:

[0031] S3221, a standard state matrix is constructed using the set of standard state time series of rescue devices; a row vector of the standard state matrix is a standard running state time series of a type of rescue device;

[0032] S3222, the standard state matrix is decomposed to obtain a left decomposition matrix, a feature matrix and a right decomposition matrix of the standard state matrix;

[0033] S3223, diagonal elements of the feature matrix are extracted to obtain a feature vector;

[0034] S3224, elements and element sequence values of the feature vector are linearly fitted to obtain a rescue device state evaluation model.

[0035] The rescue equipment state evaluation model is used for calculating and processing the rescue equipment running state value of each equipment information set to obtain a corresponding equipment running state evaluation value, including:

[0036] S3231, state analysis is performed on each rescue equipment state parameter time sequence of one equipment information set to obtain an evaluation serial number value set; the rescue equipment state parameter time sequence includes a running state index sequence value, a use efficiency value and a consumption value of a type of equipment participating in the marine emergency rescue;

[0037] S3232, the rescue equipment state evaluation model is used for calculating and processing the evaluation serial number value set to obtain a rescue equipment running state value set;

[0038] S3233, the rescue equipment running state value set is averaged to obtain an equipment running state evaluation value of the equipment information set.

[0039] The second aspect of the present application discloses an evaluation device for a marine emergency rescue scheme, and the device comprises:

[0040] A memory storing executable program codes;

[0041] A processor coupled with the memory;

[0042] The processor calls the executable program codes stored in the memory to execute the evaluation method for the marine emergency rescue scheme.

[0043] The third aspect of the present application discloses a computer storage medium storing computer instructions, and the computer instructions are called by a computer to execute the evaluation method for the marine emergency rescue scheme.

[0044] The fourth aspect of the present application discloses an information data processing terminal for implementing the evaluation method for the marine emergency rescue scheme.

[0045] The present application has the following advantages:

[0046] The present application provides an evaluation method and device for a marine emergency rescue scheme, which can quantitatively evaluate the scheme from multiple angles according to known technical process parameters of the marine emergency rescue scheme, and provides a scientific basis for the formulation and optimization of the marine emergency rescue scheme.

[0047] The evaluation method and device can comprehensively, objectively and quantitatively evaluate the marine emergency rescue scheme, provide strong support for the formulation and optimization of the rescue scheme, improve the efficiency and effect of the marine emergency rescue, and protect the life safety and property safety of the marine personnel.

[0048] In the comprehensive evaluation process by using the rescue scheme, the environmental complexity is evaluated first, and based on the environmental complexity, evaluation is performed from three aspects of technology, completion effect and safety to obtain a technology evaluation value, a completion degree evaluation value and a safety evaluation value, the influence of the environment is considered repeatedly, and the objectivity and accuracy of the evaluation are improved. BRIEF DESCRIPTION OF DRAWINGS

[0049] Figure 1 The flow chart of the method is shown. DETAILED DESCRIPTION

[0050] In order to better understand the content of the present application, an embodiment is given.

[0051] Figure 1 The flow chart of the method is shown.

[0052] In the first aspect of the embodiment of the present application, a kind of evaluation method for marine emergency rescue scheme is disclosed, comprising:

[0053] S1, obtain rescue target information set and marine emergency rescue information set of marine emergency rescue scheme;The marine emergency rescue information set includes marine emergency rescue information;

[0054] The marine emergency rescue information includes the equipment information set, the effect information set, the environmental parameter set and the personnel safety parameter set of the marine emergency rescue scheme in participating in a marine emergency rescue;The rescue target information set includes preset target information of each marine emergency rescue;The rescue target information set has corresponding marine emergency rescue information;

[0055] The equipment information set includes the running state index sequence value of various types of equipment participating in marine emergency rescue, the use efficiency value of rescue equipment and the consumption value of rescue equipment;

[0056] The effect information set includes the rescue rate of the distressed personnel, the treatment effect value of the injured personnel and the rescue rate of the material;

[0057] The environmental parameter set includes the sea state information, the wind power value and the visibility value;

[0058] The personnel safety parameter set includes the casualty rate of rescue personnel, the occupational exposure risk value, the rescue material loss rate and the rescue equipment loss rate;

[0059] The preset target information includes the rescue rate target value of the distressed personnel, the treatment effect target value of the injured personnel and the rescue rate target value of the material;

[0060] S2, preprocessing the offshore emergency rescue information set to obtain a preprocessing information set;

[0061] S3, evaluating the preprocessing information set to obtain a rescue scheme comprehensive evaluation result information; the rescue scheme comprehensive evaluation result information is used to evaluate the rationality degree of the offshore emergency rescue scheme;

[0062] The preprocessing of the offshore emergency rescue information set to obtain a preprocessing information set comprises:

[0063] S21, outlier elimination processing is performed on the offshore emergency rescue information set to obtain a first information set;

[0064] S22, category inspection processing is performed on the first information set to obtain a second information set;

[0065] S23, numerical encoding processing is performed on the second information set to obtain a third information set;

[0066] S24, data reduction processing is performed on the third information set to obtain a fourth information set;

[0067] The evaluation of the preprocessing information set to obtain a rescue scheme comprehensive evaluation result information comprises:

[0068] S31, environment quantitative evaluation processing is performed on the environment parameter set to obtain an environment complexity evaluation value set;

[0069] S32, based on the environment complexity evaluation value set, running state evaluation processing is performed on the equipment information set to obtain a technical evaluation value;

[0070] S33, based on the rescue target information set and the environment complexity evaluation value set, completion degree evaluation is performed on the effect information set to obtain a completion degree evaluation value;

[0071] S34, based on the environment complexity evaluation value set, safety evaluation processing is performed on the personnel safety parameter set to obtain a safety evaluation value;

[0072] S35, using a preset weight factor vector, the technical evaluation value, the completion degree evaluation value and the safety evaluation value are weighted and summed to obtain a rescue scheme comprehensive evaluation value;

[0073] S36, using the rescue scheme comprehensive evaluation value, the technical evaluation value, the completion degree evaluation value and the safety evaluation value, a rescue scheme comprehensive evaluation result information is constructed.

[0074] The expression of the environment quantitative evaluation processing is:

[0075]

[0076] wherein a i , b i , c i are sea state information, wind value, visibility value in the i-th environmental parameter set, which are also sea state information, wind value, visibility value in the i-th marine emergency rescue, p i is the environmental complexity evaluation value corresponding to the i-th environmental parameter set, b max is the maximum wind value, ∈ and τ are respectively the first and second constant factors, which can be 2 and 5, c0 is the standard visibility value, which can be 10; the maximum wind value can be 18;

[0077] An environmental complexity evaluation value set is constructed using the environmental complexity evaluation values corresponding to all environmental parameter sets.

[0078] The expression of the environmental quantitative evaluation process comprehensively considers three key environmental factors, i.e., sea state, wind, and visibility, and fully reflects the complexity of the marine rescue environment. The inverse tangent function is used to perform nonlinear mapping on the wind value, which normalizes the wind value to the interval [0, 1], avoiding the excessive influence of high wind values on the overall evaluation. The fraction term ensures the stability of the evaluation value, and even if the wind is close to the maximum value, its contribution will not exceed a reasonable range. The exponential term has high sensitivity to abnormal visibility conditions (such as extremely low visibility), which can significantly improve the environmental complexity evaluation value and remind decision-makers to pay attention to extreme conditions. Parameter adjustability: through the preset constant factors and standard values, flexible adjustments can be made according to different sea areas and rescue scenarios, enhancing the adaptability of the model.

[0079] The running state evaluation process is performed on the device information set based on the environmental complexity evaluation value set to obtain a technical evaluation value, which includes:

[0080] S321, a rescue device standard state time series set is obtained; the rescue device standard state time series set includes standard running state time series of all rescue devices; the standard running state time series includes running state index sequence value, standard use efficiency value, and standard consumption value of a type of device;

[0081] S322, a rescue device state evaluation model is obtained by performing feature fitting processing on the rescue device standard state time series set;

[0082] S323, based on the rescue device state evaluation model, rescue device running state value calculation processing is performed on each device information set to obtain a corresponding device running state evaluation value;

[0083] S234, using the environment complexity evaluation value set, weighting summing the device running state evaluation value of each device information set, to obtain a technology evaluation value.

[0084] The feature fitting processing on the rescue device standard state time sequence set obtains a rescue device state evaluation model, including:

[0085] S3221, using the rescue device standard state time sequence set, a standard state matrix is constructed; the row vector of the standard state matrix is the standard running state time sequence of a type of rescue device;

[0086] S3222, the standard state matrix is decomposed to obtain a left decomposition matrix, a feature matrix and a right decomposition matrix of the standard state matrix;

[0087] S3223, the diagonal elements of the feature matrix are extracted to obtain a feature vector; the feature vector is expressed as I a , I a =[λ1,λ2,…,λ N1 ], N1 is the number of elements contained in the feature vector;

[0088] S3224, the elements and element serial number values of the feature vector are linearly fitted to obtain a rescue device state evaluation model;

[0089] The decomposition processing has a calculation expression as follows:

[0090] Y=UAV,

[0091] Wherein, U is a left decomposition matrix, Y is a standard state matrix, A is a feature matrix, V is a right decomposition matrix, U and V are orthogonal matrices, and A is a diagonal matrix;

[0092] The decomposition processing can be realized by using a matrix singular value decomposition algorithm.

[0093] The rescue device running state value calculation processing on each device information set based on the rescue device state evaluation model obtains a corresponding device running state evaluation value, including:

[0094] S3231, the state analysis is performed on each rescue device state parameter time sequence of a device information set to obtain an evaluation serial number value set; the rescue device state parameter time sequence includes the running state index sequence value, the use efficiency value and the consumption value of a type of device participating in the marine emergency rescue;

[0095] S3232, using the rescue device state evaluation model, the evaluation serial number value set is calculated to obtain a rescue device running state value set;

[0096] S3233, averaging the set of rescue equipment running state values to obtain the equipment running state evaluation value of the set of equipment information.

[0097] The state analysis on each rescue equipment state parameter time sequence of the set of equipment information obtains a set of evaluation sequence number values, including:

[0098] S32311, for each rescue equipment state parameter time sequence of the set of rescue equipment standard state time sequences, the average value of the rescue equipment state parameter time sequence is calculated;

[0099] S32312, for each element in each rescue equipment state parameter time sequence, the absolute value of the difference between the element and the average value is calculated; confirm the absolute value of the difference as the offset of the element;

[0100] S32313, for the rescue equipment state parameter time sequence, find the element with the largest offset, determine the sequence number value of the element in the rescue equipment state parameter time sequence, as the evaluation sequence number value of the rescue equipment state parameter time sequence;

[0101] S32314, using the evaluation sequence number values of all rescue equipment state parameter time sequences of the set of rescue equipment standard state time sequences, the set of evaluation sequence number values is constructed;

[0102] The rescue equipment running state value set obtained by using the rescue equipment state evaluation model to calculate and process the set of evaluation sequence number values is that each evaluation sequence number value in the set of evaluation sequence number values is respectively brought into the rescue equipment state evaluation model for calculation and processing to obtain the corresponding result value, and all result values are used to construct the rescue equipment running state value set.

[0103] The rescue equipment running state value represents the probability of risk of rescue equipment running state, and the greater the risk value, the more likely the rescue equipment running state to occur risk.

[0104] The linear fitting processing is to take the characteristic vector element sequence number value Ix as the known independent variable and the characteristic vector element value as the known dependent variable, to construct a to-be-approximated curve using the known independent variable and the known dependent variable, and to use the function approximation method to perform curve fitting on the to-be-approximated curve to obtain the rescue equipment state evaluation model f(Ix).

[0105] The weighted sum of the environmental complexity evaluation value set and the device running state evaluation value of each device information set is obtained by multiplying the environmental complexity evaluation value corresponding to the same marine emergency rescue and the device running state evaluation value of the device information set, and adding all the multiplication results to obtain the technical evaluation value.

[0106] The completion degree evaluation value is obtained by performing completion degree evaluation on the effect information set based on the rescue target information set and the environmental complexity evaluation value set.

[0107] The difference value is obtained by performing difference calculation processing on the effect information set of each marine emergency rescue and the rescue target information set.

[0108] The expression of the difference calculation processing is:

[0109]

[0110] wherein, r i , q i and e i are the rescue rate of the person in distress, the treatment effect value of the injured person and the rescue rate of the material of the i-th marine emergency rescue, r 0i , q 0i and e 0i are the target value of the rescue rate of the person in distress, the target value of the treatment effect of the injured person and the target value of the rescue rate of the material of the i-th marine emergency rescue, ω1, ω1 and ω1 are the preset first weight value, second weight value and third weight value, and z i is the difference value of the i-th marine emergency rescue.

[0111] The environmental complexity evaluation value of each marine emergency rescue in the environmental complexity evaluation value set is multiplied by the corresponding difference value to obtain a multiplication result, and all multiplication results are added to obtain a completion degree evaluation value.

[0112] The expression of the difference calculation processing directly measures the deviation between the actual rescue effect and the preset target, and provides a clear direction for scheme optimization. The exponential function is used for the rescue rate to amplify the difference value when the target is not reached, which embodies the rescue principle of "life first". The relative error is used for the treatment effect, which is more suitable for the evaluation of proportional indicators. The absolute error is used for the material rescue rate to balance the evaluation scale of different indicators. By adjusting the weight value, customized evaluation can be performed according to the priority of the rescue scene (such as personnel rescue or material rescue). The exponential function only acts on the absolute value, avoiding calculation abnormalities caused by negative input, and ensuring the reliability of the evaluation result.

[0113] The process of performing a safety assessment on the personnel safety parameter set based on the environmental complexity assessment value set to obtain a safety assessment value includes:

[0114] The casualty rate, occupational exposure risk value, loss rate of rescue materials, and loss rate of rescue equipment of each maritime emergency rescue are integrated and calculated to obtain the corresponding integrated safety value.

[0115] The expression for the fusion calculation process is:

[0116]

[0117] Among them, t i Let a be the fusion safety value for the i-th maritime emergency rescue. 1i a 2i a 3i a 4i Let q1, q2, q3, and q4 be the casualty rate, occupational exposure risk value, rescue material loss rate, and rescue equipment loss rate of the i-th maritime emergency rescue, respectively. Let q1, q2, q3, and q4 be the preset first normalized value, second normalized value, third normalized value, and fourth normalized value, respectively, and their values ​​can be 1.2, 1.4, 1.1, and 1.5.

[0118] The environmental complexity assessment value for each maritime emergency rescue is multiplied by the corresponding fused safety value from the environmental complexity assessment value set to obtain the multiplication result; all multiplication results are then added together to obtain the safety assessment value.

[0119] For the weight factor vector, objective weighting methods such as the Analytic Hierarchy Process (AHP) or entropy weighting can be used to determine the weight of each evaluation indicator. The determination of weights should fully consider the importance and relevance of each indicator in maritime emergency rescue to ensure the rationality and scientific nature of the weight allocation.

[0120] The outlier removal process includes filling in missing values, smoothing noisy data, and smoothing or deleting outlier points. Smoothing noisy data involves first identifying the noisy data, and then smoothing it based on the data preceding and following it. The noisy data refers to values ​​whose values ​​are less than the sensor's detection sensitivity for the observed data, or greater than the sensor's measurement upper limit for the observed data. Outlier point identification can employ a Kalman filter method. The filling value for missing values ​​can be determined by averaging the measurements within a certain sampling interval before and after the missing value.

[0121] The category checking process involves checking whether the data category of each type of data in the information set is consistent with the preset data category, and deleting inconsistent data from the information set.

[0122] The numerical encoding process involves quantizing and encoding the non-numerical information in the second information set to obtain the corresponding numerical information; the quantization encoding may use ASCII code, mapping encoding, or one-hot encoding.

[0123] The data reduction process involves taking the data of each type of data attribute in the third information set, using the data collection information of the data as the independent variable and the data value of the data as the dependent variable, and performing autoregressive-moving average modeling to obtain the regression model of the data attribute for each type.

[0124] Using the regression model, the independent variables are calculated and processed to obtain regression data values; it is determined whether the absolute value of the difference between the regression data value and the corresponding dependent variable value is greater than a set first regression discrimination threshold; if it is greater than the first regression discrimination threshold, the data is deleted from the third information set; if it is less than or equal to the first regression discrimination threshold, the data is not processed.

[0125] The data reduction d1 data of all executions in the third information set are fused to obtain the four information sets;

[0126] The data acquisition information refers to the data acquisition time information.

[0127] A single maritime emergency rescue message corresponds to a maritime emergency rescue operation in which the aforementioned maritime emergency rescue plan participates.

[0128] The maritime emergency rescue information is obtained by collecting various parameters in different maritime emergency rescues according to the maritime emergency rescue plan, including but not limited to the performance parameters of rescue equipment (such as the speed, range, and load capacity of rescue vessels), the configuration parameters of rescue personnel (such as the number of personnel and their professional skill level), the reserve parameters of rescue materials (such as the type, quantity, and expiration date of materials), and the rescue environment parameters (such as sea conditions and weather conditions).

[0129] According to a second aspect of the present invention, an evaluation device for a maritime emergency rescue plan is disclosed, the device comprising:

[0130] Memory containing executable program code;

[0131] A processor coupled to the memory;

[0132] The processor calls the executable program code stored in the memory to execute the evaluation method for maritime emergency rescue solutions.

[0133] In a third aspect, the present invention discloses a computer-storable medium storing computer instructions, which, when invoked by a computer, are used to execute the aforementioned evaluation method for maritime emergency rescue schemes.

[0134] In a fourth aspect, the present invention discloses an information data processing terminal, which is used to implement the aforementioned evaluation method for maritime emergency rescue schemes.

[0135] The above description is merely an embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of the present invention should be included within the scope of the claims of the present invention.

Claims

1. A method for evaluating a maritime emergency rescue scheme, characterized in that, Comprise: S1, obtain the marine emergency rescue information set of the marine emergency rescue target information set and the marine emergency rescue scheme; the marine emergency rescue information set comprises marine emergency rescue information; The marine emergency rescue information comprises the equipment information set, the effect information set, the environmental parameter set, and the personnel safety parameter set of the marine emergency rescue scheme in participating in a marine emergency rescue; The rescue target information set comprises the preset target information of each marine emergency rescue; The rescue target information set has corresponding marine emergency rescue information; S2, pre-process the marine emergency rescue information set to obtain a pre-processed information set; S3, evaluate the pre-processed information set to obtain a rescue scheme comprehensive evaluation result information; The rescue scheme comprehensive evaluation result information is used to evaluate the rationality of the marine emergency rescue scheme, comprising: S31, perform environmental quantitative evaluation processing on the environmental parameter set to obtain an environmental complexity evaluation value set; the expression of the environmental quantitative evaluation processing is: wherein a i , b i , c i are sea state information, wind force value, and visibility value in the i-th environmental parameter set, and are sea state information, wind force value, and visibility value in the i-th marine emergency rescue, p i is an environmental complexity evaluation value corresponding to the i-th environmental parameter set, b max is a maximum wind force value, ∈ and τ are respectively a first constant factor and a second constant factor, and c0 is a standard visibility value. An environmental complexity evaluation value set is constructed by using all the environmental complexity evaluation values corresponding to the environmental parameter set; S32, based on the environmental complexity evaluation value set, perform running state evaluation processing on the equipment information set to obtain a technical evaluation value, comprising: S321, obtain a rescue equipment standard state time sequence set; the rescue equipment standard state time sequence set comprises the standard running state time sequence of all rescue equipment; the standard running state time sequence comprises the running state index sequence value, the standard use efficiency value and the standard consumption value of a type of equipment; S322, perform feature fitting processing on the rescue equipment standard state time sequence set to obtain a rescue equipment state evaluation model; S323, based on the rescue equipment state evaluation model, perform rescue equipment running state value calculation processing on each equipment information set to obtain the corresponding equipment running state evaluation value; S234, use the environmental complexity evaluation value set and the equipment running state evaluation value of each equipment information set to perform weighted summation to obtain a technical evaluation value; S33, based on the rescue target information set and the environmental complexity evaluation value set, perform completion degree evaluation on the effect information set to obtain a completion degree evaluation value, comprising: Perform difference calculation processing on the effect information set of each marine emergency rescue and the rescue target information set to obtain a difference value; Multiply the environmental complexity evaluation value of each marine emergency rescue in the environmental complexity evaluation value set with the corresponding difference value to obtain a multiplication result; add all the multiplication results to obtain a completion degree evaluation value; S34, based on the environmental complexity evaluation value set, perform safety evaluation processing on the personnel safety parameter set to obtain a safety evaluation value, comprising: Perform fusion calculation processing on the casualty rate, the occupational exposure risk value, the rescue material loss rate and the rescue equipment loss rate of the rescue personnel of each marine emergency rescue to obtain a corresponding fusion safety value; Multiplying the environmental complexity evaluation value of each marine emergency rescue in the environmental complexity evaluation value set with the corresponding fusion safety value to obtain a multiplication result; adding all the multiplication results to obtain a safety evaluation value; S35, using a preset weight factor vector, performing weighted summation on the technical evaluation value, the completion evaluation value and the safety evaluation value to obtain a comprehensive evaluation value of the rescue scheme; S36, using the comprehensive evaluation value of the rescue scheme, the technical evaluation value, the completion evaluation value and the safety evaluation value, constructing a comprehensive evaluation result information of the rescue scheme.

2. The method for evaluating a maritime emergency rescue scheme according to claim 1, wherein, The pre-processing of the marine emergency rescue information set to obtain a pre-processed information set comprises: S21, performing wild value elimination processing on the marine emergency rescue information set to obtain a first information set; S22, performing category inspection processing on the first information set to obtain a second information set; S23, performing numerical coding processing on the second information set to obtain a third information set; S24, performing data reduction processing on the third information set to obtain a fourth information set.

3. The method for evaluating a maritime emergency rescue scheme according to claim 1, wherein, The feature fitting processing on the rescue equipment standard state time sequence set to obtain a rescue equipment state evaluation model comprises: S3221, using the rescue equipment standard state time sequence set to construct a standard state matrix; the row vector of the standard state matrix is the standard running state time sequence of a type of rescue equipment; S3222, performing decomposition processing on the standard state matrix to obtain a left decomposition matrix, a feature matrix and a right decomposition matrix of the standard state matrix; S3223, extracting the diagonal elements of the feature matrix to obtain a feature vector; S3224, performing linear fitting processing on the elements and element serial number values of the feature vector to obtain a rescue equipment state evaluation model.

4. The method for evaluating a maritime emergency rescue plan according to claim 1, wherein, The rescue equipment running state value calculation processing on each device information set based on the rescue equipment state evaluation model to obtain a corresponding device running state evaluation value comprises: S3231, performing state analysis on each rescue equipment state parameter time sequence of a device information set to obtain an evaluation serial number value set; the rescue equipment state parameter time sequence comprises a running state index sequence value, a use efficiency value and a consumption value of a type of equipment participating in marine emergency rescue; S3232, using the rescue equipment state evaluation model to perform calculation processing on the evaluation serial number value set to obtain a rescue equipment running state value set; S3233, averaging the rescue equipment running state value set to obtain a device running state evaluation value of the device information set.

5. An evaluation device for a maritime emergency rescue scenario, characterized in that The device comprises: a memory storing executable program codes; a processor coupled with the memory; the processor invokes the executable program codes stored in the memory to execute the evaluation method for the marine emergency rescue scheme according to any one of claims 1 to 4.

6. A computer storable medium, characterized by The computer storage medium stores computer instructions, which are invoked by a computer to execute the evaluation method for the marine emergency rescue scheme according to any one of claims 1 to 4.

7. An information data processing terminal, characterized by The information data processing terminal is used to realize the evaluation method for the marine emergency rescue scheme as claimed in any one of claims 1 to 4.

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