A mine vegetation ecological benefit evaluation method, system and electronic equipment

Abstract

A mine vegetation ecological benefit evaluation method, system and electronic equipment, in the scheme, the ecological benefit parameters of the mine vegetation reconstruction type are compared and evaluated with the preset ecological benefit parameters, and then the vegetation reconstruction type with the smallest difference from the preset ecological benefit parameters is screened out in the evaluation result, so that the optimal mine vegetation reconstruction type can be quickly screened out, and the difference of the final evaluation result caused by different preferences of different evaluators is avoided.

Description

Technical Field

[0001] This application relates to the field of Internet of Things technology, and in particular to a method, system and electronic equipment for assessing the ecological benefits of mine vegetation. Background Technology

[0002] Vegetation restoration in open-pit mines has always been a key focus of mine area management. While some vegetation restoration technologies exist, there is a lack of effective means and methods for assessing the ecological benefits of vegetation restoration, making it impossible to accurately evaluate the ecological benefits of open-pit mines. Summary of the Invention

[0003] This application provides a method, system, and electronic device for assessing the ecological benefits of mine vegetation, so as to achieve accurate assessment of the ecological benefits of mine vegetation.

[0004] Firstly, this application provides a method for assessing the ecological benefits of vegetation in mines, the method comprising:

[0005] Obtain the ecological benefit parameters of each vegetation reconstruction type in the current mine reconstruction area, and calculate the closeness of each ecological benefit parameter with the preset ecological benefit parameter to obtain the closeness value corresponding to each of the N vegetation reconstruction types, where N is an integer greater than or equal to 1;

[0006] Select K vegetation reconstruction types that exceed a preset threshold, and determine the difference between the ecological benefit parameters of each of the K vegetation reconstruction types and the preset ecological benefit parameters.

[0007] The minimum difference value is determined among all the difference values, and the vegetation reconstruction type corresponding to the minimum difference value is taken as the target scheme.

[0008] In this scheme, the ecological benefit parameters of the mine vegetation reconstruction type are compared and evaluated with the preset ecological benefit parameters. Then, the vegetation reconstruction type with the smallest difference from the preset ecological benefit parameters is selected from the evaluation results. This can quickly select the optimal mine vegetation reconstruction type and avoid the difference in the final evaluation results caused by different evaluators' different preferences.

[0009] In one possible design, the proximity of each ecological benefit parameter to a preset ecological benefit parameter is calculated to obtain proximity values ​​for each of the N vegetation reconstruction types, including:

[0010] Obtain the evaluation values ​​and actual values ​​of the indicators corresponding to the vegetation reconstruction types;

[0011] Based on the evaluation values ​​and actual values ​​of the indicators, an evaluation indicator matrix is ​​constructed, and the weight value of each evaluation indicator is determined.

[0012] Based on the evaluation index matrix and the index weight values ​​of each evaluation index, the closeness of each ecological benefit parameter with the preset ecological benefit parameter is calculated to obtain the closeness value corresponding to each of the N vegetation reconstruction types.

[0013] In one possible design, based on the evaluation index matrix and the index weights of each evaluation index, the proximity of each ecological benefit parameter to the preset ecological benefit parameters is calculated to obtain the proximity values ​​corresponding to each of the N vegetation reconstruction types, including:

[0014] A decision matrix is ​​constructed using the evaluation values ​​and actual values ​​of the indicators.

[0015] Based on the decision matrix, an approximate decision scheme is constructed;

[0016] Based on the evaluation index matrix and the decision-making scheme, the proximity values ​​corresponding to each of the N vegetation reconstruction types are obtained.

[0017] In one possible design, the proximity value is calculated using the following formula:

[0018]

[0019] Where Ti represents the proximity value, y ij Characterization index matrix.

[0020] In one possible design, the difference between the ecological benefit parameters of each of the K vegetation restoration types and the preset ecological benefit parameters is determined, specifically as follows:

[0021] Based on the evaluation index matrix and the decision-making scheme, the difference between the ecological benefit parameters of each of the K vegetation reconstruction types and the preset ecological benefit parameters is determined.

[0022] In one possible design, the difference value is calculated using the following formula:

[0023]

[0024] Among them, α i Characterizing the closeness value, y ij Characterization index matrix.

[0025] Secondly, this application provides a system for assessing the ecological benefits of vegetation in mines, the system comprising:

[0026] The calculation module is used to obtain the ecological benefit parameters of each vegetation reconstruction type in the current mine reconstruction area, and to calculate the closeness of each ecological benefit parameter with the preset ecological benefit parameters to obtain the closeness value corresponding to each of the N vegetation reconstruction types, where N is an integer greater than or equal to 1.

[0027] The processing module is used to filter out K vegetation reconstruction types that are greater than a preset threshold, and determine the difference between the ecological benefit parameters of each of the K vegetation reconstruction types and the preset ecological benefit parameters; among all the difference values ​​obtained, the minimum difference value is determined, and the vegetation reconstruction type corresponding to the minimum difference value is taken as the target scheme.

[0028] In one possible design, the calculation module is specifically used to obtain the evaluation value and actual value of the indicator corresponding to the vegetation reconstruction type.

[0029] Based on the evaluation values ​​and actual values ​​of the indicators, an evaluation indicator matrix is ​​constructed, and the weight value of each evaluation indicator is determined.

[0030] Based on the evaluation index matrix and the index weight values ​​of each evaluation index, the closeness of each ecological benefit parameter with the preset ecological benefit parameter is calculated to obtain the closeness value corresponding to each of the N vegetation reconstruction types.

[0031] In one possible design, the calculation module is specifically used to construct a decision matrix using the indicator evaluation value and the actual indicator value;

[0032] Based on the decision matrix, an approximate decision scheme is constructed;

[0033] Based on the evaluation index matrix and the decision-making scheme, the proximity values ​​corresponding to each of the N vegetation reconstruction types are obtained.

[0034] In one possible design, the processing module is specifically used to determine the difference between the ecological benefit parameters of each of the K vegetation reconstruction types and the preset ecological benefit parameters, based on the evaluation index matrix and the decision scheme.

[0035] Thirdly, this application provides an electronic device, comprising:

[0036] Memory, used to store computer programs;

[0037] When the processor executes the computer program stored in the memory, it implements the steps of the above-described method for assessing the ecological benefits of mine vegetation.

[0038] Fourthly, this application provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-described method for assessing the ecological benefits of mine vegetation.

[0039] For the various aspects of the second to fourth aspects mentioned above, and the technical effects that each aspect may achieve, please refer to the above description of the technical effects that can be achieved for the first aspect or the various possible solutions in the first aspect, which will not be repeated here. Attached Figure Description

[0040] Figure 1 A flowchart of a method for assessing the ecological benefits of mine vegetation provided in this application;

[0041] Figure 2 This application provides a structural schematic diagram of a mine vegetation ecological benefit assessment system.

[0042] Figure 3 This is a schematic diagram of the structure of an electronic device provided in this application. Detailed Implementation

[0043] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. The specific operational methods in the method embodiments can also be applied to the device embodiments or system embodiments. It should be noted that in the description of this application, "multiple" is understood as "at least two". "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. A connected to B can represent: A and B directly connected, and A and B connected through C. Furthermore, in the description of this application, terms such as "first" and "second" are used only for distinguishing the purpose of description and should not be construed as indicating or implying relative importance or order.

[0044] The embodiments of this application will now be described in detail with reference to the accompanying drawings.

[0045] Currently, the severe ecological and environmental problems in mines not only damage surface vegetation but also cause soil erosion, seriously affecting the ecological stability of mining areas and leading to increasingly serious ecological security issues. Therefore, the reconstruction of mine vegetation has become an urgent problem to be solved.

[0046] To address the aforementioned issues, this application provides a method for evaluating the ecological benefits of mine vegetation. In this method, the ecological benefit parameters of the mine vegetation reconstruction type are compared and evaluated with preset ecological benefit parameters. Then, the vegetation reconstruction type with the smallest difference from the preset ecological benefit parameters is selected from the evaluation results. This allows for the rapid selection of the optimal mine vegetation reconstruction type and avoids differences in the final evaluation results caused by different evaluators' preferences.

[0047] The technical solution of this application will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0048] Reference Figure 1 The diagram shown is a flowchart of a method for assessing the ecological benefits of mine vegetation according to an embodiment of this application. The method includes:

[0049] S10: Obtain the ecological benefit parameters of each vegetation reconstruction type in the current mine reconstruction area, and calculate the closeness between each ecological benefit parameter and the preset ecological benefit parameter to obtain the closeness of each of the N vegetation reconstruction types.

[0050] S11, filter out K vegetation reconstruction types that are greater than the preset threshold, and determine the difference between the ecological benefit parameters of each of the K vegetation reconstruction types and the preset ecological benefit parameters.

[0051] S13, determine the minimum difference value among all the difference values, and take the vegetation reconstruction type corresponding to the minimum difference value as the target scheme.

[0052] Specifically, before conducting the assessment, it is necessary to collect various types of indicators. These indicators can be set according to the actual situation, such as soil erosion rate, soil quality, and environmental purification. Then, the threshold method is used to standardize each assessment indicator.

[0053] Since the ecological benefit parameters for each vegetation restoration type are compared and calculated with preset ecological benefit parameters, this embodiment requires obtaining both the indicator evaluation value and the actual indicator value. Then, the maximum index is calculated using these evaluation and actual values. The standardized calculation formula for the maximum index is as follows:

[0054]

[0055] Among them, y i —Indicator evaluation value; x i —Actual value of the indicator.

[0056] The extremely small indicators can also be obtained from the above indicator evaluation values ​​and actual indicator values, with the following standardized calculation formula:

[0057]

[0058] In the ecological benefit assessment indicators of vegetation reconstruction in open-pit mines, the single-factor pollution index is included. Standardization should be performed using extremely small indicators, while all other indicators should be standardized using extremely large indicators.

[0059] After determining the standardized calculation method for the indicators as described above, an evaluation indicator matrix is ​​constructed based on the evaluated values ​​and actual values ​​of the indicators. That is, the standardized evaluation indicators for different vegetation restoration types form an indicator matrix, which is specifically as follows:

[0060] Y = (y ij ) m×33

[0061] Where m represents the number of vegetation reconstruction types involved in the assessment.

[0062] After determining the aforementioned indicator matrix, the weights of each evaluation indicator were further determined. After standardizing the raw data of ecological benefit indicators for different vegetation restoration types, the entropy H of each evaluation indicator was calculated using the formula. j :

[0063] (where i = 1, 2, ..., m; j = 1, 2, ..., n)

[0064] In this formula, Setting y ij =0, y ij lny ij =0, where n represents the number of indicators, then the corresponding weight value w for each evaluation indicator is calculated. j :

[0065]

[0066] The weights of the different evaluation indicators form a diagonal matrix w.

[0067] After obtaining the weight values ​​corresponding to each evaluation indicator, a decision matrix is ​​constructed. The decision matrix can be calculated from the indicator matrix Y and the diagonal matrix w, and the specific calculation formula is as follows:

[0068] Y'=Y*W=(y i ' j ) m×33

[0069] After the decision matrix is ​​constructed, an approximate decision scheme is further constructed. This involves comparing the values ​​of each column in the decision matrix to determine its maximum value. That is, to approximate the ideal point, construct an approximate ideal decision scheme, denoted as I. * :

[0070]

[0071] The above process yields an indicator matrix and an approximate ideal decision-making scheme. Based on the evaluation indicator matrix and the ideal decision-making scheme, the difference between the ecological benefit parameters of each of the K vegetation reconstruction types and the preset ecological benefit parameters is determined.

[0072] In this embodiment of the application, the proximity value T i The calculation formula is as follows:

[0073]

[0074] Clearly, the closeness value can be directly calculated using the index matrix and the approximate ideal decision scheme in the above formula.

[0075] Furthermore, the difference value α is calculated using the following formula. i :

[0076]

[0077] In summary, the method provided in the embodiments of this application has at least the following technical effects:

[0078] 1. In this scheme, the ecological benefit parameters of the mine vegetation reconstruction type are compared and evaluated with the preset ecological benefit parameters. Then, the vegetation reconstruction type with the smallest difference from the preset ecological benefit parameters is selected from the evaluation results. This can quickly select the optimal mine vegetation reconstruction type and avoid the difference in the final evaluation results caused by different evaluators' different preferences.

[0079] 2. First, to address the issue of inconsistent units among the indicators, the selected indicators were standardized and an ecological benefit indicator matrix was constructed. Then, the weights of each indicator were determined and a decision matrix was constructed. Finally, the ecological benefits of vegetation reconstruction in open-pit mines were evaluated and graded by calculating proximity and relative similarity, thus ensuring the accuracy of the final assessment results.

[0080] 3. Users can make improvements based on the evaluation results, which will not only help reduce the losses and harms caused by soil erosion and ecological damage, and promote vegetation reconstruction, thus creating a good ecological environment and a safe production and living environment for the mining area, but also benefit the physical and mental health of mining workers and nearby residents. In addition, the restoration of the ecological environment is conducive to and further promotes the progress of local reforestation and local socio-economic development.

[0081] Based on the same inventive concept, this application also provides a mine vegetation ecological benefit assessment system, such as... Figure 2 The diagram shown is a structural schematic of a mine vegetation ecological benefit assessment system provided in an embodiment of this application. The system includes:

[0082] The calculation module 201 is used to obtain the ecological benefit parameters of each vegetation reconstruction type in the current mine reconstruction area, and to calculate the closeness of each ecological benefit parameter with the preset ecological benefit parameters to obtain the closeness value corresponding to each of the N vegetation reconstruction types, where N is an integer greater than or equal to 1.

[0083] The processing module 202 is used to filter out K vegetation reconstruction types that are greater than a preset threshold, and determine the difference between the ecological benefit parameters of each of the K vegetation reconstruction types and the preset ecological benefit parameters; among all the difference values ​​obtained, the minimum difference value is determined, and the vegetation reconstruction type corresponding to the minimum difference value is taken as the target scheme.

[0084] In one possible design, the calculation module 201 is specifically used to obtain the evaluation value of the indicator and the actual value of the indicator corresponding to the vegetation reconstruction type.

[0085] Based on the evaluation values ​​and actual values ​​of the indicators, an evaluation indicator matrix is ​​constructed, and the weight value of each evaluation indicator is determined.

[0086] Based on the evaluation index matrix and the index weight values ​​of each evaluation index, the closeness of each ecological benefit parameter with the preset ecological benefit parameter is calculated to obtain the closeness value corresponding to each of the N vegetation reconstruction types.

[0087] In one possible design, the calculation module 201 is specifically used to construct a decision matrix using the indicator evaluation value and the actual indicator value;

[0088] Based on the decision matrix, an approximate decision scheme is constructed;

[0089] Based on the evaluation index matrix and the decision-making scheme, the proximity values ​​corresponding to each of the N vegetation reconstruction types are obtained.

[0090] In one possible design, the processing module 202 is specifically used to determine the difference between the ecological benefit parameters of each of the K vegetation reconstruction types and the preset ecological benefit parameters, based on the evaluation index matrix and the decision scheme.

[0091] Based on the same inventive concept, this application also provides an electronic device that can realize the functions of the aforementioned mine vegetation ecological benefit assessment system. (Refer to...) Figure 3 The electronic device includes:

[0092] At least one processor 301 and a memory 302 connected to at least one processor 301. In this embodiment, the specific connection medium between the processor 301 and the memory 302 is not limited. Figure 3 The example shown is the connection between processor 301 and memory 302 via bus 300. Bus 300 is... Figure 3 The connections between other components are indicated by thick lines and are for illustrative purposes only, not as limiting information. Bus 300 can be divided into address bus, data bus, control bus, etc., for ease of representation. Figure 3The term 301 is represented by a single thick line, but this does not imply that there is only one bus or one type of bus. Alternatively, the processor 301 can also be called a controller; there is no restriction on the name.

[0093] In this embodiment, memory 302 stores instructions executable by at least one processor 301. By executing the instructions stored in memory 302, at least one processor 301 can execute the output method for the landing area discussed above. Processor 301 can implement... Figure 2 The system shown illustrates the functions of each module.

[0094] The processor 301 is the control center of the device. It can connect to various parts of the control device through various interfaces and lines. By running or executing instructions stored in memory 302 and calling data stored in memory 302, the processor can perform various functions and process data, thereby monitoring the device as a whole.

[0095] In one possible design, processor 301 may include one or more processing units. Processor 301 may integrate an application processor and a modem processor, wherein the application processor mainly handles the operating system, user interface, and applications, and the modem processor mainly handles wireless communication. It is understood that the modem processor may also not be integrated into processor 301. In some embodiments, processor 301 and memory 302 may be implemented on the same chip; in some embodiments, they may also be implemented separately on independent chips.

[0096] Processor 301 can be a general-purpose processor, such as a central processing unit (CPU), digital signal processor, application-specific integrated circuit, field-programmable gate array or other programmable logic device, discrete gate or transistor logic device, or discrete hardware component, capable of implementing or executing the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the mine vegetation ecological benefit assessment method disclosed in the embodiments of this application can be directly manifested as being executed by a hardware processor, or executed by a combination of hardware and software modules within the processor.

[0097] Memory 302, as a non-volatile computer-readable storage medium, can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules. Memory 302 may include at least one type of storage medium, such as flash memory, hard disk, multimedia card, card-type memory, random access memory (RAM), static random access memory (SRAM), programmable read-only memory (PROM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), magnetic storage, magnetic disk, optical disk, etc. Memory 302 can be any other medium capable of carrying or storing desired program code in the form of instructions or data structures that can be accessed by a computer, but is not limited thereto. In the embodiments of this application, memory 302 can also be a circuit or any other device capable of implementing storage functions for storing program instructions and / or data.

[0098] By designing and programming the processor 301, the code corresponding to the mine vegetation ecological benefit assessment method described in the foregoing embodiments can be embedded into the chip, thereby enabling the chip to execute the steps of the mine vegetation ecological benefit assessment method shown in Figure 1 during operation. How to design and program the processor 301 is a technique well-known to those skilled in the art, and will not be described in detail here.

[0099] Based on the same inventive concept, embodiments of this application also provide a storage medium storing computer instructions that, when executed on a computer, cause the computer to perform the aforementioned method for assessing the ecological benefits of mine vegetation.

[0100] In some possible implementations, various aspects of the mine vegetation ecological benefit assessment method provided in this application can also be implemented in the form of a program product, which includes program code. When the program product is run on a device, the program code is used to cause the control device to perform the steps in the mine vegetation ecological benefit assessment method according to the various exemplary embodiments of this application described above.

[0101] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0102] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0103] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0104] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0105] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for assessing the ecological benefits of vegetation in mines, characterized in that, The method includes: Obtain the ecological benefit parameters of each vegetation reconstruction type in the current mine reconstruction area, and calculate the closeness of each ecological benefit parameter with the preset ecological benefit parameter to obtain the closeness value corresponding to each of the N vegetation reconstruction types, where N is an integer greater than or equal to 1; Select K vegetation reconstruction types that are less than a preset threshold, and determine the difference between the ecological benefit parameters of each of the K vegetation reconstruction types and the preset ecological benefit parameters. The minimum difference value is determined from all the difference values ​​obtained, and the vegetation reconstruction type corresponding to the minimum difference value is taken as the target scheme. Among them, the proximity of each ecological benefit parameter to the preset ecological benefit parameter is calculated to obtain the proximity value corresponding to each of the N vegetation reconstruction types, including: Obtain the evaluation values ​​and actual values ​​of the indicators corresponding to the vegetation reconstruction types; Based on the evaluation values ​​and actual values ​​of the indicators, an evaluation indicator matrix is ​​constructed, and the weight value of each evaluation indicator is determined. Based on the evaluation index matrix and the index weight values ​​of each evaluation index, the closeness of each ecological benefit parameter with the preset ecological benefit parameter is calculated to obtain the closeness values ​​corresponding to each of the N vegetation reconstruction types. Specifically, based on the evaluation index matrix and the index weights of each evaluation index, the proximity of each ecological benefit parameter to the preset ecological benefit parameters is calculated to obtain the proximity values ​​corresponding to each of the N vegetation reconstruction types, including: Construct a decision matrix using the evaluation values ​​and actual values ​​of the indicators; Based on the decision matrix, an approximate decision scheme is constructed; Based on the evaluation index matrix and the approximate decision scheme, the proximity values ​​corresponding to each of the N vegetation reconstruction types are obtained.

2. The method as described in claim 1, characterized in that, The differences between the ecological benefit parameters of each of the K vegetation restoration types and the preset ecological benefit parameters are determined as follows: Based on the evaluation index matrix and the approximate decision-making scheme, the difference between the ecological benefit parameters of each of the K vegetation reconstruction types and the preset ecological benefit parameters is determined.

3. A system for assessing the ecological benefits of vegetation in mines, characterized in that, The system includes: The calculation module is used to obtain the ecological benefit parameters of each vegetation reconstruction type in the current mine reconstruction area, and to calculate the closeness of each ecological benefit parameter with the preset ecological benefit parameters to obtain the closeness value corresponding to each of the N vegetation reconstruction types, where N is an integer greater than or equal to 1. The processing module is used to filter out K vegetation reconstruction types that are less than a preset threshold, and determine the difference between the ecological benefit parameters of each of the K vegetation reconstruction types and the preset ecological benefit parameters; among all the difference values ​​obtained, the minimum difference value is determined, and the vegetation reconstruction type corresponding to the minimum difference value is taken as the target scheme. The calculation module is specifically used to obtain the evaluation value and actual value of the indicators corresponding to the vegetation reconstruction type. Based on the evaluation values ​​and actual values ​​of the indicators, an evaluation indicator matrix is ​​constructed, and the weight value of each evaluation indicator is determined. Based on the evaluation index matrix and the index weight values ​​of each evaluation index, the closeness of each ecological benefit parameter with the preset ecological benefit parameter is calculated to obtain the closeness values ​​corresponding to each of the N vegetation reconstruction types. The calculation module is specifically used to construct a decision matrix using the indicator evaluation value and the actual indicator value; Based on the decision matrix, an approximate decision scheme is constructed; Based on the evaluation index matrix and the approximate decision scheme, the proximity values ​​corresponding to each of the N vegetation reconstruction types are obtained.

4. The system as described in claim 3, characterized in that, The processing module is specifically used to determine the difference between the ecological benefit parameters of each of the K vegetation reconstruction types and the preset ecological benefit parameters based on the evaluation index matrix and the approximate decision scheme.

5. An electronic device, characterized in that, include: Memory, used to store computer programs; A processor, when executing a computer program stored in the memory, implements the method steps of any one of claims 1-2.

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the method described in any one of claims 1-2.

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