Water emergency resource allocation optimization method and device, electronic equipment and storage medium

Abstract

The application provides a water emergency resource configuration optimization method and device, electronic equipment and a storage medium, and the method comprises the following steps: determining a plurality of marine emergency decision units and emergency input indexes and output indexes thereof; determining subjective weights and objective weights of the emergency input indexes and the output indexes, and determining comprehensive weights of the emergency input indexes and the output indexes according to the subjective weights and the objective weights; determining a target data envelope analysis model based on the comprehensive weights of the emergency input indexes and the output indexes and an initial data envelope analysis model, and determining an emergency relative efficiency value and an ineffective emergency decision unit according to the target data envelope analysis model; determining an adjusted emergency input index of the ineffective marine emergency decision unit according to an inverse data envelope analysis model and the emergency relative efficiency, and determining an optimized water emergency resource scheme according to the adjusted emergency input index. The application can improve the rationality of water emergency resource scheme configuration.

Description

Technical Field

[0001] This invention relates to the field of maritime emergency search and rescue resource allocation technology, specifically to a method, apparatus, electronic device, and storage medium for optimizing maritime emergency resource allocation. Background Technology

[0002] The allocation of maritime emergency resources directly affects the efficiency of emergency rescue and the losses caused by accidents. Therefore, how to achieve the rational allocation of maritime emergency resources has become a hot research topic.

[0003] Existing methods for allocating maritime emergency resources have the following technical problems: 1. They are primarily designed for optimizing the allocation of single maritime emergency resources and are not applicable to the allocation of multiple maritime emergency resources. Maritime emergency resources vary depending on their characteristics, which may lead to unreasonable allocation of multiple resources. 2. Most existing emergency resource allocation optimization methods rely on expert experience. In other words, due to subjective preferences, these methods may further exacerbate the technical problem of unreasonable allocation of maritime emergency resources.

[0004] Therefore, there is an urgent need to propose a method, device, electronic equipment, and storage medium for optimizing the allocation of maritime emergency resources, in order to achieve the technical effect of improving the rationality of maritime emergency resource allocation. Summary of the Invention

[0005] In view of this, it is necessary to provide a method, device, electronic device and storage medium for optimizing the allocation of maritime emergency resources, so as to solve the technical problem of unreasonable allocation of maritime emergency resources in the prior art.

[0006] On one hand, the present invention provides a method for optimizing the allocation of emergency resources on water, comprising:

[0007] Determine multiple maritime emergency decision-making units and their emergency input and output indicators;

[0008] Determine the subjective and objective weights of the emergency input indicators and the output indicators, and determine the comprehensive weights of the emergency input indicators and the comprehensive weights of the output indicators based on the subjective and objective weights.

[0009] The target data envelopment analysis model is determined based on the comprehensive weight of the emergency input indicators, the comprehensive weight of the output indicators, and the pre-constructed initial data envelopment analysis model. The relative emergency efficiency value and ineffective emergency decision-making units of the maritime emergency decision-making unit are then determined based on the target data envelopment analysis model.

[0010] A reverse data envelopment analysis model is constructed. Based on the reverse data envelopment analysis model and the relative emergency response efficiency, the adjustment emergency input index for the ineffective maritime emergency decision-making unit is determined. Based on the adjustment emergency input index, an optimized maritime emergency resource plan is determined.

[0011] In some possible implementations, the emergency input indicators include equipment support resources, human support resources, material support resources, and communication support resources; the output indicators include the number of rescued persons, the number of rescued vessels, the amount of oil spill recovered, and the number of maritime traffic accidents.

[0012] In some possible implementations, determining the subjective and objective weights of the emergency input indicators and the output indicators includes:

[0013] The subjective weights of the emergency input indicators and the output indicators are determined based on the analytic hierarchy process.

[0014] The objective weights of the emergency input indicators and the output indicators are determined based on the coefficient of variation method.

[0015] In some possible implementations, the target data envelopment analysis model is as follows:

[0016]

[0017] The constraints of the target data envelopment analysis model are:

[0018]

[0019] In the formula, θ is the relative efficiency value of emergency response; ε is a non-Archimedean infinitesimal. These are slack variables; is the residual variable; m is the number of types of emergency input indicators; s is the number of types of output indicators; n is the total number of maritime emergency decision-making units; A CW B is the comprehensive weighting of emergency investment indicators; CW The overall weight of output indicators; x ij y represents the total input of the i-th type of emergency input indicator for the j-th maritime emergency decision-making unit; rj λ represents the total output of the r-th output indicator of the j-th maritime emergency decision-making unit; j x represents the inherent weights of the target data envelopment analysis model corresponding to the j-th maritime emergency decision-making unit; j0 For the j0th maritime emergency decision-making unit, the emergency input indicators are y; j0 This is the output indicator for the j0th maritime emergency decision-making unit.

[0020] In some possible implementations, determining the relative emergency response efficiency value and ineffective maritime emergency response units based on the target data envelopment analysis model includes:

[0021] Determine whether the emergency relative efficiency value is greater than or equal to 1, and whether the slack variable and the residual variable are 0;

[0022] When the relative emergency efficiency value is greater than or equal to 1, and both the slack variable and the residual variable are 0, the maritime emergency decision-making unit is a strongly effective maritime emergency decision-making unit.

[0023] When the relative emergency efficiency value is greater than or equal to 1, and the slack variable or the residual variable is greater than 0, the maritime emergency decision-making unit is a weakly effective maritime emergency decision-making unit.

[0024] When the relative emergency efficiency value is less than 1, the maritime emergency decision-making unit is an invalid maritime emergency decision-making unit.

[0025] In some possible implementations, determining the adjusted emergency input indicators for the ineffective maritime emergency decision-making unit based on the inverse data envelopment analysis model and the relative emergency efficiency, and determining the optimized maritime emergency resource plan based on the adjusted emergency input indicators, includes:

[0026] Determine the given relative emergency response efficiency of the ineffective maritime emergency decision-making unit and adjust the output indicators;

[0027] Based on the inverse data envelopment analysis model, the given emergency relative efficiency, and the adjusted output index, the adjusted emergency input index for the ineffective maritime emergency decision-making unit is determined, and the optimized maritime emergency resource scheme is determined based on the adjusted emergency input index.

[0028] In some possible implementations, the inverse data envelopment analysis model is as follows:

[0029]

[0030] The constraints of the inverse data envelopment analysis model are:

[0031]

[0032] In the formula, a i To adjust the i-th emergency input indicator in the emergency input indicators; c i λ represents the comprehensive weight of the i-th emergency input indicator; α represents the adjusted emergency input indicator; β represents the adjusted output indicator; λ j0 V represents the inherent weights of the target data envelopment analysis model corresponding to the j0th maritime emergency decision-making unit; CWGiven the relative efficiency of emergency response.

[0033] On the other hand, the present invention also provides a device for optimizing the allocation of emergency resources on water, comprising:

[0034] The input-output indicator determination unit is used to determine multiple maritime emergency decision-making units and the emergency input and output indicators of the maritime emergency decision-making units.

[0035] The comprehensive weight determination unit is used to determine the subjective weight and objective weight of the emergency input indicator and the output indicator, and to determine the comprehensive weight of the emergency input indicator and the comprehensive weight of the output indicator based on the subjective weight and the objective weight.

[0036] An ineffective emergency decision-making unit is used to determine a target data envelopment analysis model based on the comprehensive weight of the emergency input indicators, the comprehensive weight of the output indicators, and a pre-constructed initial data envelopment analysis model, and to determine the relative emergency efficiency value and ineffective emergency decision-making units of the maritime emergency decision-making unit according to the target data envelopment analysis model.

[0037] The resource allocation optimization unit is used to construct an inverse data envelopment analysis model, determine the adjustment emergency input index of the ineffective maritime emergency decision-making unit based on the inverse data envelopment analysis model and the emergency relative efficiency, and determine the optimized maritime emergency resource plan based on the adjustment emergency input index.

[0038] On the other hand, the present invention also provides an electronic device, including a memory and a processor, wherein,

[0039] The memory is used to store programs;

[0040] The processor, coupled to the memory, is used to execute the program stored in the memory to implement the steps in the water emergency resource allocation optimization method described in any of the above implementations.

[0041] On the other hand, the present invention also provides a computer-readable storage medium for storing a computer-readable program or instruction, which, when executed by a processor, can implement the steps in the water emergency resource allocation optimization method described in any of the above implementations.

[0042] The beneficial effects of adopting the above embodiments are as follows: The water emergency resource allocation optimization method provided by the present invention determines the subjective and objective weights of emergency input indicators and output indicators, and determines the comprehensive weights of emergency input indicators and output indicators based on the subjective and objective weights. Based on the comprehensive weights of emergency input indicators, the comprehensive weights of output indicators, and the pre-constructed initial data envelopment analysis model, the target data envelopment analysis model is determined. The target data envelopment analysis model is obtained by combining objective data and expert experience, which improves the rationality and accuracy of the target data envelopment analysis model, thereby improving the rationality and accuracy of the final optimized water emergency resource allocation scheme.

[0043] Furthermore, this invention optimizes the maritime emergency resource scheme by setting up a target data envelopment analysis model to determine the optimal scheme. The data envelopment analysis model is suitable for linear programming of multiple emergency input indicators and multiple output indicators, avoiding the technical problem in the prior art that it can only configure a single emergency resource, and further improving the rationality and accuracy of the optimized maritime emergency resource scheme. Attached Figure Description

[0044] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0045] Figure 1 A schematic flowchart of an embodiment of the water emergency resource allocation optimization method provided by the present invention;

[0046] Figure 2 For the present invention Figure 1 A schematic diagram of an embodiment of S102;

[0047] Figure 3 For the present invention Figure 1 A schematic diagram of an embodiment of S103;

[0048] Figure 4 For the present invention Figure 1 A schematic diagram of an embodiment of S104;

[0049] Figure 5 A schematic diagram of an embodiment of the waterborne emergency resource allocation optimization device provided by the present invention;

[0050] Figure 6 A schematic diagram of an embodiment of the electronic device provided by the present invention. Detailed Implementation

[0051] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0052] It should be understood that the illustrative drawings are not drawn to scale. The flowcharts used in this invention illustrate operations implemented according to some embodiments of the invention. It should be understood that the operations in the flowcharts may not be implemented in sequence, and steps without logical contextual relationships may be reversed or performed simultaneously. Furthermore, those skilled in the art, guided by the content of this invention, may add one or more other operations to the flowcharts, or remove one or more operations from the flowcharts.

[0053] Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor systems and / or microcontroller systems.

[0054] This invention provides a method, apparatus, electronic device, and storage medium for optimizing the allocation of emergency resources on water, which will be described below.

[0055] Figure 1 A schematic flowchart of an embodiment of the waterborne emergency resource allocation optimization method provided by the present invention is shown below. Figure 1 As shown, the optimization methods for the allocation of emergency resources on water include:

[0056] S101. Determine multiple maritime emergency decision-making units and their emergency input and output indicators.

[0057] S102. Determine the subjective and objective weights of emergency input and output indicators, and determine the comprehensive weights of emergency input and output indicators based on the subjective and objective weights.

[0058] S103. Based on the comprehensive weight of emergency input indicators, the comprehensive weight of output indicators, and the pre-constructed initial data envelopment analysis model, determine the target data envelopment analysis model, and determine the relative emergency efficiency value and ineffective emergency decision-making units of the maritime emergency decision-making unit according to the target data envelopment analysis model.

[0059] S104. Construct an inverse data envelopment analysis model, determine the adjustment emergency input indicators for ineffective maritime emergency decision-making units based on the inverse data envelopment analysis model and emergency relative efficiency, and determine the optimized maritime emergency resource plan based on the adjustment emergency input indicators.

[0060] Compared with existing technologies, the water emergency resource allocation optimization method provided in this invention determines the subjective and objective weights of emergency input and output indicators, and determines the comprehensive weights of emergency input and output indicators based on the subjective and objective weights. Based on the comprehensive weights of emergency input and output indicators and a pre-constructed initial data envelopment analysis model, a target data envelopment analysis model is determined. The target data envelopment analysis model is obtained by combining objective data and expert experience, which improves the rationality and accuracy of the target data envelopment analysis model, thereby improving the rationality and accuracy of the final optimized water emergency resource allocation scheme.

[0061] Furthermore, this embodiment of the invention sets up an optimized maritime emergency resource scheme by using a target data envelopment analysis model. The data envelopment analysis model is suitable for linear programming of multiple emergency input indicators and multiple output indicators, avoiding the technical problem in the prior art that only a single emergency resource can be configured, and further improving the rationality and accuracy of the optimized maritime emergency resource scheme configuration.

[0062] It should be noted that, in order to simplify the model, the target data envelopment analysis model in this embodiment of the invention is based on the following assumptions:

[0063] (1) Only consider the impact of the number of emergency input indicators of the maritime emergency decision-making unit on emergency search and rescue output;

[0064] (2) Assume that each maritime emergency decision-making unit has the same efficiency in using emergency input indicators and that there will be no significant changes over a period of time;

[0065] (3) Assume that changes in natural conditions have no impact on the efficiency of the maritime emergency decision-making unit in using emergency input indicators;

[0066] (4) Assume that the same type of emergency input indicators produce the same search and rescue benefits.

[0067] It should also be noted that the maritime emergency decision-making unit in this embodiment of the invention is a maritime administration agency.

[0068] In a specific embodiment of the present invention, emergency input indicators include equipment support resources, human support resources, material support resources, and communication support resources; output indicators include the number of rescued persons, the number of rescued ships, the amount of oil spill recovered, and the number of maritime traffic accidents.

[0069] In some embodiments of the present invention, such as Figure 2 As shown, step S102 includes:

[0070] S201. Determine the subjective weights of emergency input and output indicators based on the Analytic Hierarchy Process (AHP).

[0071] S202. Determine the objective weights of emergency input and output indicators based on the coefficient of variation (CV) method.

[0072] This invention obtains subjective and objective weights respectively through the analytic hierarchy process (AHP) and the coefficient of variation method, which can improve the accuracy of the obtained subjective and objective weights.

[0073] It should be understood that after obtaining the subjective and objective weights, the linear weighting method is used to obtain the comprehensive weight of the emergency input indicators and the comprehensive weight of the output indicators.

[0074] In some embodiments of the present invention, the target data envelopment analysis model is as follows:

[0075]

[0076] The constraints of the target data envelopment analysis model are:

[0077]

[0078] In the formula, θ is the relative efficiency value of emergency response; ε is a non-Archimedean infinitesimal. These are slack variables; is the residual variable; m is the number of types of emergency input indicators; s is the number of types of output indicators; n is the total number of maritime emergency decision-making units; A CW B is the comprehensive weighting of emergency investment indicators; CW The overall weight of output indicators; x ij y represents the total input of the i-th type of emergency input indicator for the j-th maritime emergency decision-making unit; rj λ represents the total output of the r-th output indicator of the j-th maritime emergency decision-making unit; j x represents the inherent weights of the target data envelopment analysis model corresponding to the j-th maritime emergency decision-making unit; j0 For the j0th maritime emergency decision-making unit, the emergency input indicators are y; j0 This is the output indicator for the j0th maritime emergency decision-making unit.

[0079] In some embodiments of the present invention, such as Figure 3 As shown, step S103 includes:

[0080] S301. Determine whether the emergency relative efficiency value is greater than or equal to 1, and whether the slack variable and the residual variable are 0;

[0081] S302. When the relative efficiency value of emergency response is greater than or equal to 1, and both the slack variable and the residual variable are 0, the maritime emergency decision-making unit is a strongly effective maritime emergency decision-making unit.

[0082] S303. When the relative efficiency value of emergency response is greater than or equal to 1, and the slack variable or residual variable is greater than 0, the maritime emergency decision-making unit is a weakly effective maritime emergency decision-making unit.

[0083] S304. When the relative efficiency value of emergency response is less than 1, the maritime emergency decision-making unit is an invalid maritime emergency decision-making unit.

[0084] In some embodiments of the present invention, such as Figure 4 As shown, step S104 includes:

[0085] S401. Determine the given relative efficiency of ineffective maritime emergency decision-making units and adjust output indicators;

[0086] S402. Based on the inverse data envelopment analysis model, given the relative efficiency of emergency response, and the adjusted output indicators, determine the adjusted emergency input indicators for ineffective maritime emergency decision-making units, and determine the optimized maritime emergency resource plan based on the adjusted emergency input indicators.

[0087] Specifically, step S401 can be: introducing a virtual maritime emergency decision-making unit, the relative emergency efficiency of the virtual maritime emergency decision-making unit is a given relative emergency efficiency, but the output index of the virtual maritime emergency decision-making unit is an adjusted output index, thereby determining the adjusted emergency input index of the virtual maritime emergency decision-making unit.

[0088] This invention, based on the inverse data envelopment analysis model, given relative emergency response efficiency, and adjusted output indicators, determines the adjusted emergency input indicators for ineffective maritime emergency decision-making units. This can increase the output indicators of ineffective maritime emergency decision-making units and improve the rationality of optimizing maritime emergency resource plans.

[0089] In some embodiments of the present invention, the inverse data envelopment analysis model is as follows:

[0090]

[0091] The constraints of the inverse data envelopment analysis model are:

[0092]

[0093] In the formula, a i To adjust the i-th emergency input indicator in the emergency input indicators; c iλ represents the comprehensive weight of the i-th emergency input indicator; α represents the adjusted emergency input indicator; β represents the adjusted output indicator; λ j0 V represents the inherent weights of the target data envelopment analysis model corresponding to the j0th maritime emergency decision-making unit; CW Given the relative efficiency of emergency response.

[0094] To better implement the waterborne emergency resource allocation optimization method in the embodiments of the present invention, based on the waterborne emergency resource allocation optimization method, the embodiments of the present invention also provide a waterborne emergency resource allocation optimization device, such as... Figure 5 As shown, the waterborne emergency resource allocation optimization device 500 includes:

[0095] Input-output indicator determination unit 501 is used to determine multiple maritime emergency decision-making units and the emergency input and output indicators of the maritime emergency decision-making units.

[0096] The comprehensive weight determination unit 502 is used to determine the subjective and objective weights of emergency input indicators and output indicators, and to determine the comprehensive weights of emergency input indicators and output indicators based on the subjective and objective weights.

[0097] The ineffective emergency decision-making unit 503 is used to determine the target data envelopment analysis model based on the comprehensive weight of emergency input indicators, the comprehensive weight of output indicators, and the pre-constructed initial data envelopment analysis model, and to determine the emergency relative efficiency value and ineffective emergency decision-making units of the maritime emergency decision-making unit according to the target data envelopment analysis model.

[0098] Resource allocation optimization unit 504 is used to construct an inverse data envelopment analysis model, determine the adjustment emergency input indicators for ineffective maritime emergency decision-making units based on the inverse data envelopment analysis model and emergency relative efficiency, and determine the optimized maritime emergency resource plan based on the adjustment emergency input indicators.

[0099] The water emergency resource allocation optimization device 500 provided in the above embodiments can realize the technical solutions described in the above water emergency resource allocation optimization method embodiments. The specific implementation principles of each module or unit can be found in the corresponding content in the above water emergency resource allocation optimization method embodiments, and will not be repeated here.

[0100] like Figure 6 As shown, the present invention also provides an electronic device 600. The electronic device 600 includes a processor 601, a memory 602, and a display 603. Figure 6 Only some components of the electronic device 600 are shown, but it should be understood that it is not required to implement all the components shown, and more or fewer components may be implemented instead.

[0101] In some embodiments, processor 601 may be a central processing unit (CPU), microprocessor, or other data processing chip, used to run program code stored in memory 602 or process data, such as the water emergency resource allocation optimization method of the present invention.

[0102] In some embodiments, processor 601 may be a single server or a group of servers. The server group may be centralized or distributed. In some embodiments, processor 601 may be local or remote. In some embodiments, processor 601 may be implemented on a cloud platform. In one embodiment, the cloud platform may include a private cloud, public cloud, hybrid cloud, community cloud, distributed cloud, intranet, multi-cloud, etc., or any combination thereof.

[0103] In some embodiments, memory 602 may be an internal storage unit of electronic device 600, such as a hard disk or memory of electronic device 600. In other embodiments, memory 602 may also be an external storage device of electronic device 600, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc. equipped on electronic device 600.

[0104] Furthermore, the memory 602 may include both internal storage units of the electronic device 600 and external storage devices. The memory 602 is used to store application software and various types of data installed on the electronic device 600.

[0105] In some embodiments, display 603 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen. Display 603 is used to display information from electronic device 600 and to display a visual user interface. Components 601-603 of electronic device 600 communicate with each other via a system bus.

[0106] In one embodiment, when processor 601 executes the maritime emergency resource allocation optimization program in memory 602, the following steps can be implemented:

[0107] Determine multiple maritime emergency decision-making units and their emergency input and output indicators;

[0108] Determine the subjective and objective weights of emergency input and output indicators, and determine the comprehensive weights of emergency input and output indicators based on the subjective and objective weights.

[0109] The target data envelopment analysis model is determined based on the comprehensive weight of emergency input indicators, the comprehensive weight of output indicators, and the pre-constructed initial data envelopment analysis model. Based on the target data envelopment analysis model, the relative emergency efficiency value of the maritime emergency decision-making unit and the ineffective emergency decision-making unit are determined.

[0110] Construct an inverse data envelopment analysis model, determine the adjustment emergency input indicators for ineffective maritime emergency decision-making units based on the inverse data envelopment analysis model and emergency relative efficiency, and determine the optimized maritime emergency resource plan based on the adjustment emergency input indicators.

[0111] It should be understood that when the processor 601 executes the water emergency resource configuration optimization program in the memory 602, in addition to the functions mentioned above, it can also perform other functions, as can be found in the description of the corresponding method embodiments above.

[0112] Furthermore, this embodiment of the invention does not specifically limit the type of electronic device 600 mentioned. Electronic device 600 can be a mobile phone, tablet computer, personal digital assistant (PDA), wearable device, laptop computer, or other portable electronic device. Exemplary embodiments of portable electronic devices include, but are not limited to, portable electronic devices running iOS, Android, Microsoft, or other operating systems. The aforementioned portable electronic device can also be other portable electronic devices, such as a laptop computer with a touch-sensitive surface (e.g., a touch panel). It should also be understood that in some other embodiments of the invention, electronic device 600 may not be a portable electronic device, but rather a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0113] Accordingly, this application also provides a computer-readable storage medium for storing computer-readable programs or instructions. When the programs or instructions are executed by a processor, they can implement the steps or functions of the water emergency resource allocation optimization method provided in the above-described method embodiments.

[0114] Those skilled in the art will understand that all or part of the processes of the methods described in the above embodiments can be implemented by a computer program instructing related hardware (such as a processor, controller, etc.), and the computer program can be stored in a computer-readable storage medium. The computer-readable storage medium may be a disk, optical disk, read-only memory, or random access memory, etc.

[0115] The above provides a detailed description of the method, apparatus, electronic device, and storage medium for optimizing the allocation of emergency resources on waterways provided by this invention. Specific examples have been used to illustrate the principles and implementation methods of this invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of this invention. At the same time, those skilled in the art will recognize that, based on the ideas of this invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this invention.

Claims

1. A method for optimizing the allocation of emergency resources on waterways, characterized in that, include: Determine multiple maritime emergency decision-making units and their emergency input and output indicators; Determine the subjective and objective weights of the emergency input indicators and the output indicators, and determine the comprehensive weights of the emergency input indicators and the output indicators based on the subjective and objective weights. The target data envelopment analysis model is determined based on the comprehensive weight of the emergency input indicators, the comprehensive weight of the output indicators, and the pre-constructed initial data envelopment analysis model. The relative emergency efficiency value and ineffective maritime emergency decision-making units of the maritime emergency decision-making unit are then determined based on the target data envelopment analysis model. Construct an inverse data envelopment analysis model, determine the adjustment emergency input index for the ineffective maritime emergency decision-making unit based on the inverse data envelopment analysis model and the relative emergency efficiency, and determine the optimized maritime emergency resource plan based on the adjustment emergency input index; The subjective and objective weights for determining the emergency input indicators and the output indicators include: The subjective weights of the emergency input indicators and the output indicators are determined based on the analytic hierarchy process (AHP). The objective weights of the emergency input indicators and the output indicators are determined based on the coefficient of variation method. The target data envelopment analysis model is as follows: The constraints of the target data envelopment analysis model are: In the formula, This represents the relative efficiency value for emergency response. It is a non-Archimedean infinitesimal; These are slack variables; is the residual variable; m is the number of types of emergency input indicators; s is the number of types of output indicators; n is the total number of maritime emergency decision-making units; A CW B is the comprehensive weighting of emergency investment indicators; CW The overall weight of output indicators; The total amount of input for the i-th type of emergency input indicator of the j-th maritime emergency decision-making unit; Let r be the total output of the r-th output indicator of the j-th maritime emergency decision-making unit; The weights are the inherent weights of the target data envelopment analysis model corresponding to the j-th maritime emergency decision-making unit. For the j0th maritime emergency decision-making unit, the emergency input indicators are: This is the output indicator for the j0th maritime emergency decision-making unit; The step of determining the adjusted emergency input indicators for the ineffective maritime emergency decision-making unit based on the inverse data envelopment analysis model and the relative emergency efficiency, and determining the optimized maritime emergency resource plan based on the adjusted emergency input indicators, includes: Determine the given relative emergency response efficiency of the ineffective maritime emergency decision-making unit and adjust the output indicators; Based on the inverse data envelopment analysis model, the given emergency relative efficiency, and the adjusted output index, the adjusted emergency input index of the ineffective maritime emergency decision-making unit is determined, and the optimized maritime emergency resource scheme is determined based on the adjusted emergency input index. The inverse data envelopment analysis model is as follows: The constraints of the inverse data envelopment analysis model are: In the formula, To adjust the i-th emergency investment indicator in the emergency investment indicators; The comprehensive weight of the i-th emergency investment indicator; To adjust emergency investment targets; To adjust output targets; The weights are the inherent weights of the target data envelopment analysis model corresponding to the j0th maritime emergency decision-making unit; Given the relative efficiency of emergency response.

2. The method for optimizing the allocation of emergency resources on waterways according to claim 1, characterized in that, The emergency input indicators include equipment support resources, human support resources, material support resources, and communication support resources; the output indicators include the number of rescued persons, the number of rescued vessels, the amount of oil spill recovered, and the number of maritime traffic accidents.

3. The method for optimizing the allocation of emergency resources on waterways according to claim 1, characterized in that, The step of determining the relative emergency response efficiency value and ineffective maritime emergency response units based on the target data envelopment analysis model includes: Determine whether the emergency relative efficiency value is greater than or equal to 1, and whether the slack variable and the residual variable are 0; When the relative emergency efficiency value is greater than or equal to 1, and both the slack variable and the residual variable are 0, the maritime emergency decision-making unit is a strongly effective maritime emergency decision-making unit. When the relative emergency efficiency value is greater than or equal to 1, and the slack variable or the residual variable is greater than 0, the maritime emergency decision-making unit is a weakly effective maritime emergency decision-making unit. When the relative emergency efficiency value is less than 1, the maritime emergency decision-making unit is an invalid maritime emergency decision-making unit.

4. A device for optimizing the allocation of emergency resources on water, characterized in that, The apparatus applicable to the method for optimizing the allocation of maritime emergency resources according to any one of claims 1-3 includes: The input-output indicator determination unit is used to determine multiple maritime emergency decision-making units and the emergency input and output indicators of the maritime emergency decision-making units. The comprehensive weight determination unit is used to determine the subjective weight and objective weight of the emergency input indicator and the output indicator, and to determine the comprehensive weight of the emergency input indicator and the comprehensive weight of the output indicator based on the subjective weight and the objective weight. An ineffective emergency decision-making unit is used to determine a target data envelopment analysis model based on the comprehensive weight of the emergency input indicators, the comprehensive weight of the output indicators, and a pre-constructed initial data envelopment analysis model, and to determine the emergency relative efficiency value of the maritime emergency decision-making unit and ineffective maritime emergency decision-making units according to the target data envelopment analysis model. The resource allocation optimization unit is used to construct an inverse data envelopment analysis model, determine the adjustment emergency input index of the ineffective maritime emergency decision-making unit based on the inverse data envelopment analysis model and the emergency relative efficiency, and determine the optimized maritime emergency resource plan based on the adjustment emergency input index.

5. An electronic device, characterized in that, Including processor and memory, among which, The memory is used to store programs; The processor, coupled to the memory, is used to execute the program stored in the memory to implement the water emergency resource allocation optimization method according to any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that, Used to store computer-readable programs or instructions, which, when executed by a processor, can implement the water emergency resource allocation optimization method according to any one of claims 1 to 3.

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