Nuclear power plant land saving evaluation method and device and nuclear power plant land occupation adjustment method

Abstract

The invention discloses a land saving evaluation method and device for a nuclear power plant. The method comprises the following steps: S1, constructing a judgment matrix based on an index hierarchical structure model; s2, on the basis of the first judgment matrix, the second judgment matrix, the third judgment matrix, the fourth judgment matrix and the fifth judgment matrix, the combined weight of a plurality of second-level indexes associated with the land use scale, the combined weight of a plurality of second-level indexes associated with the land use structure and the combined weight of a plurality of second-level indexes associated with the land use intensity are obtained through calculation; and a combined weight of a plurality of second-level indexes associated with the land benefit; and S3, calculating a nuclear power plant land-saving evaluation score based on the combined weight of each secondary index and the index value of each secondary index of the nuclear power plant land-saving evaluation. According to the application, the land utilization condition of the environment-friendly nuclear power plant can be systematically, comprehensively and objectively evaluated, so that a quantitative basis is provided for government decision making and nuclear power plant area planning.

Description

Technical Field

[0001] The present invention belongs to the technical field of nuclear power, and particularly relates to a method for evaluating land saving of nuclear power plants, a device and a method for adjusting land occupation of nuclear power plants. Background Art

[0002] As a low-carbon and green clean energy, nuclear power has broad development space and huge market potential. Currently, the contradiction between land supply and demand is becoming increasingly prominent. Since the construction scale of nuclear power projects is large and a large amount of land needs to be occupied, improving the land utilization rate of nuclear power is of great significance for promoting the sustainable development of nuclear power. It is urgent to carry out research on the evaluation of land saving for environment-friendly nuclear power plants.

[0003] In the prior art, the commonly used method for land saving evaluation is qualitative analysis. Qualitative analysis mainly focuses on the compliance analysis of nuclear power plant construction projects. However, qualitative analysis is only a subjective evaluation of whether the land used for nuclear power plant construction projects is compliant and reasonable, and cannot truly reflect the degree of intensive land use of nuclear power plant construction projects. There may be a deviation between the determined degree of intensive land use of nuclear power plant construction projects and the actual land utilization rate. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a method, a device and a system for evaluating land saving of nuclear power plants in view of the above deficiencies in the prior art. Using this method, the land use situation of environment-friendly nuclear power plants can be accurately evaluated, so as to provide a quantitative basis for government decision-making and nuclear power plant area planning.

[0005] In a first aspect, the present invention provides a method for evaluating land saving of nuclear power plants, including:

[0006] S1. Construct a judgment matrix based on the index hierarchy model. The judgment matrix includes a first judgment matrix, a second judgment matrix, a third judgment matrix, a fourth judgment matrix and a fifth judgment matrix.

[0007] The index hierarchy model includes a plurality of first-level indicators and a plurality of second-level indicators respectively associated with each first-level indicator. The plurality of first-level indicators include land use scale, land use structure, land use intensity and land use efficiency.

[0008] The first judgment matrix includes at least one of the relative importance calibration values of land use scale, the relative importance calibration value of land use structure, the relative importance calibration value of land use intensity and the relative importance calibration value of land use efficiency. The second judgment matrix corresponds to a plurality of second-level indicators associated with the land use scale. The third judgment matrix corresponds to a plurality of second-level indicators associated with the land use structure. The fourth judgment matrix corresponds to a plurality of second-level indicators associated with the land use intensity. The fifth judgment matrix corresponds to a plurality of second-level indicators associated with the land use efficiency.

[0009] Among them, the first judgment matrix can satisfy the consistency test among the first-level indicators, the second judgment matrix can satisfy the consistency test among the second-level indicators associated with the land use scale, the third judgment matrix can satisfy the consistency test among the second-level indicators associated with the land use structure, the fourth judgment matrix can satisfy the consistency test among the second-level indicators associated with the land use intensity, and the fifth judgment matrix can satisfy the consistency test among the second-level indicators associated with the land use efficiency;

[0010] S2. Based on the first judgment matrix, the second judgment matrix, the third judgment matrix, the fourth judgment matrix, and the fifth judgment matrix, calculate the combined weights of multiple second-level indicators associated with the land use scale, the combined weights of multiple second-level indicators associated with the land use structure, the combined weights of multiple second-level indicators associated with the land use intensity, and the combined weights of multiple second-level indicators associated with the land use efficiency, respectively;

[0011] S3. Based on the combined weights of each second-level indicator and the indicator values of each second-level indicator for the land-saving evaluation of nuclear power plants, calculate the land-saving evaluation score of the nuclear power plant to determine the evaluation grade of the land-saving evaluation score of the nuclear power plant.

[0012] In some embodiments, it further includes step S0:

[0013] S0. Construct an index hierarchy model for the land-saving evaluation of nuclear power plants, which specifically includes:

[0014] Construct multiple first-level indicators associated with the land-saving evaluation score of the nuclear power plant;

[0015] Construct multiple second-level indicators respectively associated with each first-level indicator;

[0016] Among them, the multiple second-level indicators associated with the land use scale include land use per unit installed capacity and the proportion of plant area engineering land in the total project land,

[0017] The multiple second-level indicators associated with the land use structure include the proportion of functional zoning land, the green space rate, and the proportion of administrative office and living service facility land,

[0018] The multiple second-level indicators associated with the land use intensity include the building coefficient, the road and square coefficient, and,

[0019] The second-level indicator associated with the land use efficiency includes the investment intensity and the number of laborers absorbed per unit land area.

[0020] In some embodiments, step S1 specifically includes:

[0021] S11. According to the nine-scale method, construct the first judgment matrix, the second judgment matrix, the third judgment matrix, the fourth judgment matrix, and the fifth judgment matrix respectively;

[0022] Among them, the second judgment matrix includes at least one of the relative importance calibration values of the land area per unit installed capacity and the relative importance calibration value of the proportion of the factory area engineering land in the total engineering land area.

[0023] The third judgment matrix includes at least one of the relative importance calibration value of the functional zoning land proportion, the relative importance calibration value of the green space rate, and the relative importance calibration value of the proportion of the administrative office and living service facility land.

[0024] The fourth judgment matrix includes at least one of the relative importance calibration value of the building coefficient and the relative importance calibration value of the road and square coefficient.

[0025] The fifth judgment matrix includes at least one of the relative importance calibration value of the investment intensity and the relative importance calibration value of the number of laborers absorbed per unit land area.

[0026] S12. Conduct a consistency test on the first judgment matrix to construct a first judgment matrix that meets the consistency test, and

[0027] Conduct a consistency test on the second judgment matrix, the third judgment matrix, the fourth judgment matrix, and the fifth judgment matrix respectively to construct a second judgment matrix, a third judgment matrix, a fourth judgment matrix, and a fifth judgment matrix that meet the consistency test.

[0028] In some embodiments, step S12 specifically includes:

[0029] S121. Calculate the consistency index of each judgment matrix respectively according to the following formula (1):

[0030] CI = (λ max -n) / (n - 1) (1)

[0031] Among them, CI is the consistency index, λ max is the maximum eigenvalue of the judgment matrix, and n is the order of the judgment matrix.

[0032] S122. Calculate the consistency ratio of each judgment matrix respectively according to the following formula (2):

[0033] CR = CI / RI (2)

[0034] Among them, CR is the consistency ratio of the judgment matrix, and RI is the random consistency index.

[0035] S123. If the consistency ratio of the judgment matrix is less than the first preset threshold, the judgment matrix meets the requirements of consistency test; if the consistency ratio is greater than or equal to the first preset threshold, the judgment matrix does not meet the requirements of consistency test, and the nine-scale method is re-adopted to adjust the judgment matrix until a judgment matrix that can meet the consistency test is determined.

[0036] In some embodiments, the method is applied to the evaluation of land saving of an environmentally friendly nuclear power plant, and the first judgment matrix A that meets the consistency test is constructed 1 as follows:

[0037]

[0038] The second judgment matrix, the third judgment matrix, the fourth judgment matrix, and the fifth judgment matrix that meet the consistency test are constructed, where the second judgment matrix B 1 , the third judgment matrix B 2 , the fourth judgment matrix B 3 , and the fifth judgment matrix B 4 are successively as follows:

[0039]

[0040] In some embodiments, step S2 specifically includes:

[0041] S21. Respectively determine the eigenvectors of the first judgment matrix, the second judgment matrix, the third judgment matrix, the fourth judgment matrix, and the fifth judgment matrix;

[0042] S22. Respectively perform normalization processing on the above eigenvectors to determine the weight vectors of the first-level indicators and each second-level indicator;

[0043] S23. According to the eigenvectors of the first judgment matrix, the eigenvectors of the second judgment matrix, the eigenvectors of the third judgment matrix, the eigenvectors of the fourth judgment matrix, and the eigenvectors of the fifth judgment matrix, determine the combined weights of each second-level indicator.

[0044] In some embodiments, step S23 specifically includes:

[0045] According to the eigenvector of the first judgment matrix and the vector of the second judgment matrix, determine the combined weights of the land use per unit installed capacity and the proportion of the plant area project land in the total project land,

[0046] According to the eigenvector of the first judgment matrix and the vector of the third judgment matrix, determine the combined weights of the proportion of the functional partition land use, the green space rate, and the proportion of the land for administrative offices and living service facilities,

[0047] Determine the combined weight of the building coefficient and the combined weight of the road and square coefficient according to the eigenvector of the first judgment matrix and the vector of the fourth judgment matrix.

[0048] Determine the combined weight of the investment intensity and the combined weight of the number of laborers absorbed per unit land area according to the eigenvector of the first judgment matrix and the vector of the fifth judgment matrix.

[0049] In some embodiments, step S3 specifically includes:

[0050] S31. Determine the index scores of each secondary index according to the standard values of each secondary index.

[0051] S32. Determine the index score of each secondary index according to the index score of each secondary index and the combined weight of the corresponding secondary index.

[0052] S33. Sum the index scores of each secondary index to obtain the land-saving evaluation score of the nuclear power plant.

[0053] S34. Based on the land-saving evaluation score of the nuclear power plant, determine the evaluation level of the land-saving evaluation score of the nuclear power plant; the evaluation levels include highly utilized, moderately utilized, moderately utilized, and lowly utilized.

[0054] In some embodiments, step S31 specifically includes:

[0055] Judge whether each secondary index belongs to a positive index or a negative index.

[0056] If it is a positive index, use the following formula (3) to determine the index score of this secondary index.

[0057] S ij = X ij / T ij (3)

[0058] Wherein, S ij is the index score of the i-th evaluation object on the j-th index, X ij is the actual value of the i-th evaluation object on the j-th index, and T ij is the standard value corresponding to the i-th evaluation object on the j-th index.

[0059] If it is a negative index, use the following formula (4) to determine the index score of this secondary index.

[0060] S ij = T ij / X ij (4)

[0061] Wherein, S ij is the index score of the i-th evaluation object on the j-th index, X ijis the actual value of the i-th evaluation object for the j-th indicator, T ij is the standard value corresponding to the i-th evaluation object for the j-th indicator.

[0062] In a second aspect, the present invention further provides a device for evaluating land saving in a nuclear power plant, the device comprising:

[0063] A first construction module configured to construct a judgment matrix based on an index hierarchy model, the judgment matrix including a first judgment matrix, a second judgment matrix, a third judgment matrix, a fourth judgment matrix, and a fifth judgment matrix,

[0064] The index hierarchy model includes a plurality of first-level indicators and a plurality of second-level indicators respectively associated with each first-level indicator. The plurality of first-level indicators include land use scale, land use structure, land use intensity, and land use efficiency;

[0065] The first judgment matrix includes at least one of the relative importance calibration values of land use scale, the relative importance calibration values of land use structure, the relative importance calibration values of land use intensity, and the relative importance calibration values of land use efficiency; the second judgment matrix corresponds to a plurality of second-level indicators associated with the land use scale, the third judgment matrix corresponds to a plurality of second-level indicators associated with the land use structure, the fourth judgment matrix corresponds to a plurality of second-level indicators associated with the land use intensity, and the fifth judgment matrix corresponds to a plurality of second-level indicators associated with the land use efficiency;

[0066] Wherein, the first judgment matrix can satisfy the consistency test among the first-level indicators, the second judgment matrix can satisfy the consistency test among the second-level indicators associated with the land use scale, the third judgment matrix can satisfy the consistency test among the second-level indicators associated with the land use structure, the fourth judgment matrix can satisfy the consistency test among the second-level indicators associated with the land use intensity, and the fifth judgment matrix can satisfy the consistency test among the second-level indicators associated with the land use efficiency;

[0067] A calculation module connected to the first construction module, configured to calculate the combined weights of a plurality of second-level indicators associated with the land use scale, the combined weights of a plurality of second-level indicators associated with the land use structure, the combined weights of a plurality of second-level indicators associated with the land use intensity, and the combined weights of a plurality of second-level indicators associated with the land use efficiency respectively based on the first judgment matrix and the second judgment matrix, the third judgment matrix, the fourth judgment matrix, and the fifth judgment matrix;

[0068] A determination module connected to the calculation module, configured to calculate the land saving evaluation score of the nuclear power plant based on the combined weights of the second-level indicators and the indicator values of the second-level indicators for the land saving evaluation of the nuclear power plant, so as to determine the evaluation grade of the land saving evaluation score of the nuclear power plant.

[0069] In a third aspect, the present invention also provides a method for adjusting the land occupation of a nuclear power plant, including:

[0070] Determining the evaluation grade of the land-saving evaluation score of the nuclear power plant according to the land-saving evaluation method of the nuclear power plant described in any one of the above;

[0071] Adjusting the land occupation of the nuclear power plant according to the evaluation grade to improve the land utilization rate of the nuclear power plant.

[0072] In the land-saving evaluation method of the nuclear power plant of the present invention, through the construction of the judgment matrix and the calculation of the combined weights of each secondary index, on the one hand, the judgment matrix is constructed based on the index hierarchy model, so the constructed judgment matrix is multi-factor and multi-level. That is, in the land-saving evaluation method of the nuclear power plant in the present invention, the land use influencing factors of the nuclear power plant are multiple levels, and in each level, various influencing factors are comprehensively considered, and the influencing factors between levels are interrelated, which can provide a basis for systematically and comprehensively evaluating the land use of an environmentally friendly nuclear power plant. On the other hand, since the process of determining the combined weights of each secondary index meets the consistency test, the combined weights of each secondary index and the index values of each secondary index of the land-saving evaluation of the nuclear power plant can be used to calculate a more reasonable land-saving evaluation score of the nuclear power plant, and the land use of the environmentally friendly nuclear power plant can be objectively and accurately evaluated. In this way, it can effectively provide a quantitative basis for government decision-making and nuclear power plant area planning. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Figure 1 is a flowchart of a land-saving evaluation method for a nuclear power plant provided by an embodiment of the present invention;

[0074] Figure 2 is a flowchart of an application embodiment of a land-saving evaluation method for a nuclear power plant provided by an embodiment of the present invention;

[0075] Figure 3 is a schematic structural diagram of an index hierarchy model provided by an embodiment of the present invention;

[0076] Figure 4 is a structural diagram of a land-saving evaluation device for a nuclear power plant provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0077] To enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application, rather than limiting the present application. For those skilled in the art, the present application can be implemented without some of these specific details. The following description of the embodiments is only intended to provide a better understanding of the present application by showing examples of the present application.

[0078] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprising", "including" or any other variant thereof are intended to cover non-exclusive inclusion, such that a process, method, article or device comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or device. Without further limitation, an element defined by the statement "comprising..." does not exclude the presence of additional identical elements in the process, method, article or device comprising the element.

[0079] Example 1:

[0080] As Figure 1 shown, this example provides a method for evaluating land conservation in nuclear power plants, which is applied to the evaluation of land conservation in environment-friendly nuclear power plants, and includes steps S1 to S3:

[0081] Step S1. Construct a judgment matrix based on the index hierarchy model, and the judgment matrix includes a first judgment matrix, a second judgment matrix, a third judgment matrix, a fourth judgment matrix and a fifth judgment matrix.

[0082] Specifically, the index hierarchy model includes multiple first-level indicators and multiple second-level indicators respectively associated with each first-level indicator. The multiple first-level indicators include land use scale, land use structure, land use intensity and land use efficiency.

[0083] Here, the index layer model structure is the influencing factors of the land use of nuclear power projects determined by analyzing the characteristics of nuclear power projects, and is composed of multiple levels of indicators. Among them, the land use scale mainly refers to the total amount or area of land use; the land use structure refers to the land allocation of different functional areas, including the land use ratio of various functional areas. This reflects the rationality of land use and the scientific nature of planning and layout; the land use intensity refers to the density or intensity of land use, that is, the quantity or scale of buildings, roads and other facilities arranged on a certain area of land; the land use efficiency emphasizes the economic and social benefits brought by land use.

[0084] In addition, the first judgment matrix includes at least one of the relative importance calibration values of land use scale, the relative importance calibration values of land use structure, the relative importance calibration values of land use intensity and the relative importance calibration values of land use efficiency; the second judgment matrix corresponds to multiple second-level indicators associated with the land use scale, the third judgment matrix corresponds to multiple second-level indicators associated with the land use structure, the fourth judgment matrix corresponds to multiple second-level indicators associated with the land use intensity, and the fifth judgment matrix corresponds to multiple second-level indicators associated with the land use efficiency.

[0085] Here, the relative importance calibration values of each first-level index in the first judgment matrix are constructed through the subjective judgment of the decision maker.

[0086] In addition, the first judgment matrix can meet the consistency test among each first-level index, the second judgment matrix can meet the consistency test among each second-level index associated with the land use scale, the third judgment matrix can meet the consistency test among each second-level index associated with the land use structure, the fourth judgment matrix can meet the consistency test among each second-level index associated with the land use intensity, and the fifth judgment matrix can meet the consistency test among each second-level index associated with the land use efficiency.

[0087] Here, the consistency test is to verify the consistency of the judgment matrix to ensure whether the subjective judgment of the relative importance among different indexes in each judgment matrix is reasonable.

[0088] It can be understood that the consistency test can judge the logical consistency in each judgment matrix. For example, if the consistency of a judgment matrix is poor, it means that there may be logical contradictions or unreasonable points in some comparisons in the judgment matrix, and it is necessary to adjust the relative importance calibration values of each index in the judgment matrix.

[0089] In some embodiments, the method further includes step S0:

[0090] Step S0. Construct an index hierarchy model for land saving evaluation of nuclear power plants, which specifically includes:

[0091] Construct multiple first-level indexes associated with the land saving evaluation score of nuclear power plants;

[0092] Construct multiple second-level indexes respectively associated with each first-level index;

[0093] Among them, the multiple second-level indexes associated with the land use scale include land use per unit installed capacity and the proportion of plant area engineering land in the total project land,

[0094] The multiple second-level indexes associated with the land use structure include the proportion of land for functional zoning, the green space rate, and the proportion of land for administrative offices and living service facilities,

[0095] The multiple second-level indexes associated with the land use intensity include the building coefficient, the road and square coefficient, and,

[0096] The second-level index associated with the land use efficiency includes the investment intensity and the number of laborers absorbed per unit land area.

[0097] Here, the land area per unit installed capacity refers to the land area required for unit power generation. This reflects the land use efficiency of the nuclear power plant under unit production capacity. The less land area per unit installed capacity, the higher the land use efficiency. The proportion of the plant area project land in the total project land area refers to the proportion of the plant area project land area in the total land area of the entire project. The smaller this proportion, the lower the proportion of the plant area project land in the total land area, that is, the land use is more concentrated and efficient.

[0098] The proportion of land area for functional zoning refers to the proportion of the land area of different functional zones (such as production area, living area, greening area, etc.) in the total land area. A reasonably laid out functional zoning helps to improve land use efficiency. The green space rate refers to the proportion of the greening land area in the total land area of the project. A higher green space rate helps to improve environmental quality, but may also reduce the land area available for production and construction.

[0099] The building coefficient refers to the proportion of the building floor area in the total land area. A higher building coefficient indicates that the land use is more intensive, which is conducive to saving land. The road and square coefficient refers to the proportion of the land area occupied by roads and squares in the total land area. An appropriate road and square coefficient can ensure convenient transportation without overoccupying land resources.

[0100] The building coefficient refers to the proportion of the building floor area in the total land area. A higher building coefficient indicates that the land use is more intensive, which is conducive to saving land. The road and square coefficient refers to the proportion of the land area occupied by roads and squares in the total land area. An appropriate road and square coefficient can ensure convenient transportation without overoccupying land resources.

[0101] As Figure 3 shown, the constructed index hierarchy model includes multiple first-level indicators (such as land use scale B1,..., land use efficiency B4) associated with the land-saving evaluation score of the nuclear power plant (the land-saving evaluation score of the environmentally friendly nuclear power plant, that is, the land-saving evaluation index A of the nuclear power project), and multiple second-level indicators associated with each first-level indicator (such as the land area per unit installed capacity C11 associated with B1, the proportion of the plant area project land in the total project land area, and the average number of laborers absorbed per unit land area C12).

[0102] It should also be noted that the index hierarchy model is a multi-level association structure. As Figure 3As shown in the figure, the index hierarchy model is a three - layer associated structure. The land - saving evaluation index A of the nuclear power project in the first layer is the target layer. Multiple first - level indicators (such as land use scale B1,..., land use efficiency B4) in the second layer are the criterion layer. Multiple second - level indicators associated with each first - level indicator in the third layer are the index layer. That is, combined with the characteristics of the nuclear power project, analyze the influencing factors of the nuclear power project land use, list the land - saving evaluation index system of the environment - friendly nuclear power plant with the target layer - criterion layer - index layer, analyze its logical relationship, and represent it in the form of a hierarchy diagram to construct the index hierarchy model.

[0103] In this embodiment, through the construction of the index hierarchy model of the nuclear power plant land - saving evaluation, a reasonable and complete land - saving evaluation index system of the nuclear power project with the target layer - criterion layer - index layer can be established to reflect the land - saving evaluation characteristics of the nuclear power project.

[0104] In some embodiments, step S1 specifically includes steps S11 to S12:

[0105] Step S11. According to the nine - scale method, construct the first judgment matrix, the second judgment matrix, the third judgment matrix, the fourth judgment matrix, and the fifth judgment matrix respectively;

[0106] Among them, the second judgment matrix includes at least one of the relative importance calibration values of the land use per unit installed capacity and the relative importance calibration value of the proportion of the factory area project land in the total project land.

[0107] Here, the land use scale of the nuclear power project, in accordance with the principle of saving land use and under the condition of meeting the production process, realizes the optimal allocation of land resources. The land use scale index should reflect the relative rationality of the project land use scale under the same technical and economic level. The land use scale can be measured by two indicators: the land use per unit installed capacity and the proportion of the factory area project land in the total project land. The land use per unit installed capacity of the nuclear power project = planned capacity / factory area project land, where the factory area project land = production area land + pre - factory building area land. This index is a reverse index, and the larger the index value, the lower the land intensive degree. In actual nuclear power projects, the total project land includes a large amount of other auxiliary facility land and construction areas, and the factory area project land only accounts for a part of the total project land. Therefore, the index of the proportion of the factory area project land in the total project land is introduced here. This index is a positive index, and the larger the index value, the higher the land intensive degree.

[0108] The third judgment matrix includes at least one of the relative importance calibration values of the proportion of functional area land use, the relative importance calibration value of the green space rate, and the relative importance calibration value of the proportion of administrative office and living service facility land use.

[0109] Here, the land use structure of the nuclear power project should be reasonable. The land use structure indicators can reflect the structural layout of the project, the level of land resource utilization, etc. The land use structure indicators include the land use ratio of each functional area, the green space rate, and the land use ratio of administrative offices and living service facilities (front-plant building area). The functional area division is to arrange each facility in the plant area according to different functions and systems, forming an organic whole that is interconnected. The project land for the nuclear power plant can be divided into the main plant area, the radioactive auxiliary production area, the switchyard area, the demineralized water facility area, the circulating water pump house area, the hydrogen supply station, the gas preparation facility area, the auxiliary boiler house, the maintenance facility and warehouse area, the waste water treatment facility area, the physical protection area, and the front-plant building area according to functions. Among them, the front-plant building area is the land for administrative offices and living service facilities, which will be counted in the land use indicators for administrative offices and living service facilities. This indicator is a positive indicator, and the larger the indicator value, the higher the degree of land intensive use. The green space rate = the greening floor area / the project land area of the plant area. This indicator is a reverse indicator, and the larger the indicator value, the lower the degree of land intensive use. The land for administrative offices and living service facilities generally includes the production and administrative office buildings, the staff canteen, and the archives land. This indicator is a reverse indicator, and the larger the indicator value, the lower the degree of land intensive use.

[0110] The fourth judgment matrix includes at least one of the relative importance calibration values of the building coefficient and the relative importance calibration value of the road and square coefficient.

[0111] Here, the land use intensity indicators can reflect the land use intensity of the project. The building coefficient reflects the degree of land use from the horizontal space utilization level. The larger the relevant indicator value of the project land use intensity, the higher the land use benefit level of the project. The land use intensity indicators include the building coefficient and the road and square coefficient. The building coefficient is an engineering and technical indicator. The building coefficient = (the land area of buildings, structures + the land area of outdoor equipment + the land area of outdoor storage yards) / the project land area of the plant area × 100%. It can reflect the compact and sparse relationship of the layout of buildings and structures and the overall degree of land use. This indicator is a positive indicator, and the larger the indicator value, the higher the degree of land intensive use. The road and square coefficient = the area of the plant area roads and square floors / the project land area of the plant area. This indicator is a reverse indicator, and the larger the indicator value, the lower the degree of land intensive use.

[0112] The fifth judgment matrix includes at least one of the relative importance calibration values of the investment intensity and the relative importance calibration value of the number of laborers absorbed per unit land area.

[0113] Here, the land use benefit index can reflect the level of input-output of a project. The land use benefit index may include the investment intensity and the number of laborers absorbed per unit land area. The lower the investment intensity and the larger the number of laborers absorbed per unit land area, the higher the economic and social benefits that can be produced by the project land. Investment intensity = fixed assets investment of the project / plant engineering land area. According to the law of diminishing returns of land, within a certain range, the greater the land input, the higher the output rate. When the input reaches a certain amount, it will cause overdevelopment. At this time, the greater the land input, the lower the output rate. At present, the level of productivity development in China is limited, and the phenomenon of overdevelopment is rare. Therefore, this index is used as a positive index here. The larger the index value, the higher the degree of land intensiveness. Number of laborers absorbed by the project / plant engineering land area. This index is a positive index, and the larger the index value, the higher the degree of land intensiveness.

[0114] Here, according to the nine-scale method, the first judgment matrix, the second judgment matrix, the third judgment matrix, the fourth judgment matrix, and the fifth judgment matrix are constructed respectively. Specifically, each pair of indicators in the first-level indicators are compared to determine the relative importance calibration values between each pair of first-level indicators; or each pair of secondary indicators corresponding to each first-level indicator are compared to determine the relative importance calibration values between each pair of secondary indicators corresponding to each first-level indicator.

[0115] In some embodiments, the nine-scale method is adopted, that is, any number from 1 to 9 is used to represent the relative importance between two indicators. Among them, 1 means that the importance between the two indicators is equal, 3 means that one indicator is slightly more important than the other, 5 means that one indicator is significantly more important than the other, 7 means that one indicator is strongly more important than the other, and 9 means that one indicator is extremely more important than the other. In some embodiments, the scale values in the nine-scale method also include 2, 4, 6, and 8. These scale values are the intermediate values between the above scale values and are used to represent that the relative importance calibration value between two indicators is between the above scale values.

[0116] It should also be noted that if the scale value a is used to represent the importance of indicator i relative to indicator j, then 1 / a is used to represent the importance of indicator j relative to indicator i. In addition, since the importance of an indicator relative to itself is obviously equal, the elements on the main diagonal of the determined judgment matrix are 1.

[0117] In some embodiments, by obtaining expert opinions and summarizing the opinion conclusions, the relative importance between each pair of indicators is determined. And according to the relative importance between each pair of indicators, the relative importance calibration values between each pair of indicators are determined, and the first judgment matrix, the second judgment matrix, the third judgment matrix, the fourth judgment matrix, and the fifth judgment matrix are obtained.

[0118] For example, when the method is applied to an environmentally friendly nuclear power plant for land-saving evaluation, and the importance of each index among the obtained first-level indexes is equal, the first judgment matrix A can be obtained 1 as follows:

[0119]

[0120] The ratio of land use per unit installed capacity in multiple secondary indexes associated with land use scale is slightly more important than the proportion of plant area project land in the total project land (scale value is 3). Then, the determined second judgment matrix B 1 is as follows:

[0121]

[0122] The proportion of functional partition land in multiple secondary indexes associated with land use structure is strongly more important than the green space rate (scale value is 7), the proportion of functional partition land is significantly more important than the proportion of administrative office and living service facility land (scale value is 5), and the proportion of administrative office and living service facility land is slightly more important than the green space rate (scale value is 3). Then, the determined third judgment matrix B 2 is as follows:

[0123]

[0124] For example, the building coefficient in multiple secondary indexes associated with land use intensity is significantly more important than the road and square coefficient (scale value is 5). Then, the determined third judgment matrix B 3 is as follows:

[0125]

[0126] For example, the investment intensity in the secondary index associated with land use efficiency is slightly more important than the number of laborers absorbed per unit land area (scale value is 3). Then, the determined third judgment matrix B 4 is as follows:

[0127]

[0128] Step S12. Conduct a consistency test on the first judgment matrix to construct a first judgment matrix that meets the consistency test, and

[0129] Conduct consistency tests on the second judgment matrix, the third judgment matrix, the fourth judgment matrix, and the fifth judgment matrix respectively to construct second judgment matrix, third judgment matrix, fourth judgment matrix, and fifth judgment matrix that meet the consistency test.

[0130] And use the eigenvector and eigenvalue of the judgment matrix as the weight to measure the influence of elements at this level on the target. If there exists a matrix W and a λ value for the judgment matrix A such that AW = λ maxIf \(W\), then \(W\) is the eigenvector of the judgment matrix \(A\), and \(\lambda\) max is the maximum eigenvalue. After the obtained \(W\) is normalized, it is the weight vector of the relative importance of the corresponding elements at the same level with respect to a certain element at the upper level. Similarly, the weight vectors and maximum eigenvalues of each judgment matrix can be obtained.

[0131] Here, the consistency test is to check whether the judgment matrix reasonably reflects the decision maker's judgment on the relative importance between different options or indicators.

[0132] In this embodiment, by using the nine-scale method, the first judgment matrix, the second judgment matrix, the third judgment matrix, the fourth judgment matrix, and the fifth judgment matrix are respectively constructed, which can quantify the decision maker's subjective judgment on the relative importance between different indicators, and perform a consistency test on each judgment matrix to determine each judgment matrix that meets the consistency test, so as to quantitatively verify whether the subjective judgment on the relative importance between different indicators is reasonable, and provide support for truly reflecting the degree of intensive land use in the nuclear power plant construction project.

[0133] In some embodiments, step S12 specifically includes steps S121 to S123:

[0134] Step S121. Calculate the consistency index of each judgment matrix according to the following formula (1):

[0135] CI = (\(\lambda\) max - n) / (n - 1) (1)

[0136] where \(CI\) is the consistency index, \(\lambda\) max is the maximum eigenvalue of the judgment matrix, and \(n\) is the order of the judgment matrix.

[0137] Here, the smaller the consistency index (Consistency Index, CI), the better the consistency of the judgment matrix. If the judgment matrix is completely consistent (that is, all comparisons in the matrix are proportional), then \(\lambda\) max = n, and at this time \(CI\) will be equal to 0.

[0138] For example, for the above first judgment matrix \(A\) 1 , and the second judgment matrix \(B\) 1 , the third judgment matrix \(B\) 2 , the fourth judgment matrix \(B\) 3 , and the fifth judgment matrix \(B\) 4 the maximum eigenvalues \(\lambda\) max are 4, 2, 3.0649, 2, 2 respectively, and the orders \(n\) of the judgment matrices are 4, 2, 3, 2, 2 in sequence. Then the corresponding consistency indices are 0, 0, 0.0325, 0, 0. Among them, the first judgment matrix \(A\) 1, and the second judgment matrix B 1 , the fourth judgment matrix B 3 , and the fifth judgment matrix B 4 , the logic between each index is completely consistent, and the decision maker's subjective judgment of the relative importance between each index is reasonable.

[0139] Step S122. Calculate the consistency ratio of each judgment matrix respectively according to the following formula (2),

[0140] CR = CI / RI (2)

[0141] where CR is the consistency ratio of the judgment matrix, and RI is the random consistency index.

[0142] Here, the random consistency index is the average value of CI based on a set of randomly generated judgment matrices. The value of RI increases as the order of the judgment matrix increases, and usually the value of RI is obtained by looking up a table. For example, for a 2×2 matrix, RI = 0; for a 3×3 matrix, RI ≈ 0.58; for higher-order matrices, the value of RI gradually increases.

[0143] For example, for the above first judgment matrix A 1 , and the second judgment matrix B 1 , the third judgment matrix B 2 , the fourth judgment matrix B 3 , and the fifth judgment matrix B 4 , the random consistency ratios CR are 0, 0, 0.0559, 0, 0 respectively.

[0144] Step S123. If the consistency ratio of the judgment matrix is less than the first preset threshold, then the judgment matrix meets the consistency test requirements; if the consistency ratio is greater than or equal to the first preset threshold, then the judgment matrix does not meet the consistency test requirements, and the nine-scale method is re-adopted to adjust the judgment matrix until a judgment matrix that can meet the consistency test is determined.

[0145] In some embodiments, the first preset threshold can be set according to experience or convention, for example, set to 0.1. In some embodiments, according to expert opinions, in some cases, the first preset threshold can be set higher than 0.1.

[0146] For example, for the above first judgment matrix A 1 , and the second judgment matrix B 1 , the third judgment matrix B 2 , the fourth judgment matrix B 3 , and the fifth judgment matrix B 4 , the consistency ratios are all less than 0.1, meeting the consistency requirements and conforming to the consistency test requirements.

[0147] In some embodiments, if the consistency ratio is greater than or equal to the first preset threshold, the judgment matrix does not meet the requirements of consistency test. The nine-scale method is re-adopted, that is, the indexes in each judgment matrix are compared pairwise again, the relative importance calibration values between every two indexes are re-evaluated, and the judgment matrix is re-filled according to the latest evaluation. Then, the consistency test is carried out again until a judgment matrix that can meet the consistency test is determined.

[0148] In some other embodiments, other means can also be used to verify the consistency of the judgment matrix. For example, the decision maker makes multiple independent judgments, and the results of the multiple independent judgments are integrated, and the consistency test is carried out on the integrated results.

[0149] In this embodiment, through the calculation of the consistency index of each judgment matrix, the calculation of the consistency ratio of each judgment matrix, and the judgment of the consistency ratio of the judgment matrix, a judgment matrix that meets the requirements of consistency test can be determined. In the case where the judgment matrix does not meet the requirements of consistency test, the judgment matrix is adjusted until a judgment matrix that can meet the consistency test is determined. In this way, the logical consistency between the indexes in each judgment matrix can be determined to be good, providing a basis for the subsequent nuclear power land-saving evaluation.

[0150] Step S2. Based on the first judgment matrix, the second judgment matrix, the third judgment matrix, the fourth judgment matrix, and the fifth judgment matrix, the combined weights of multiple secondary indexes associated with land use scale, the combined weights of multiple secondary indexes associated with land use structure, the combined weights of multiple secondary indexes associated with land use intensity, and the combined weights of multiple secondary indexes associated with land use efficiency are calculated respectively.

[0151] In some embodiments, step S2 specifically includes steps S21 to S23:

[0152] Step S21. Determine the eigenvectors of the first judgment matrix, the second judgment matrix, the third judgment matrix, the fourth judgment matrix, and the fifth judgment matrix respectively.

[0153] Step S22. Normalize each of the above eigenvectors respectively to determine the weight vectors of the first-level indexes and each secondary index.

[0154] Here, each element in the weight vector of the first-level index is the weight of the relative importance calibration value of each first-level index in the overall evaluation index; each element in the weight vector of the secondary index is the weight of the relative importance calibration value of the corresponding index at the same level for the corresponding first-level index at the previous level.

[0155] Step S23. Determine the combined weights of each secondary indicator based on the eigenvectors of the first judgment matrix, the second judgment matrix, the third judgment matrix, the fourth judgment matrix, and the fifth judgment matrix.

[0156] In some embodiments, step S23 specifically includes:

[0157] Based on the eigenvector of the first judgment matrix and the second judgment matrix vector, determine the combined weights of the land use per unit installed capacity and the proportion of the factory area project land in the total project land,

[0158] Based on the eigenvector of the first judgment matrix and the third judgment matrix vector, determine the combined weights of the proportion of land use in the functional partition, the green space rate, and the proportion of land for administrative offices and living service facilities,

[0159] Based on the eigenvector of the first judgment matrix and the fourth judgment matrix vector, determine the combined weights of the building coefficient and the road and square coefficient,

[0160] Based on the eigenvector of the first judgment matrix and the fifth judgment matrix vector, determine the combined weights of the investment intensity and the number of laborers absorbed per unit land area.

[0161] Here, for the above first judgment matrix, the weight vector of the first-level indicators is [0.25 0.25 0.25 0.25], and the weight vectors of the secondary indicators corresponding to the second judgment matrix, the third judgment matrix, the fourth judgment matrix, and the fifth judgment matrix are [0.75 0.25], [0.7306 0.0810 0.1884], [0.8333 0.1667], [0.75 0.25] respectively.

[0162] The combined weight of each secondary indicator is the product of the corresponding element of the secondary indicator in the weight vector of the secondary indicator and the element of the corresponding first-level indicator in the weight vector of the first-level indicator. As shown in Table 1, the combined weights of each secondary indicator are 0.1875, 0.0625, 0.1827, 0.0202, 0.0471, 0.2083, 0.0417, 0.1875, 0.0625 in sequence.

[0163] Table 1 Weight Table of Land-saving Evaluation Indicators for Nuclear Power Projects

[0164]

[0165]

[0166] In this embodiment, by determining the eigenvectors of the first judgment matrix and the second, third, fourth, and fifth judgment matrices, determining the weight vectors of the first-level indicators and each second-level indicator, and determining the combined weights of each second-level indicator, the combined weights of each logically consistent second-level indicator are determined, providing support for the accuracy of subsequent nuclear power plant land-saving evaluation.

[0167] Step S3. Based on the combined weights of each second-level indicator and the indicator values of each second-level indicator for the nuclear power plant land-saving evaluation, calculate the nuclear power plant land-saving evaluation score to determine the evaluation grade of the nuclear power plant land-saving evaluation score.

[0168] In some embodiments, step S3 specifically includes steps S31 to S34:

[0169] Step S31. Determine the indicator scores of each second-level indicator according to the standard values of each second-level indicator.

[0170] Here, determining the indicator scores of each second-level indicator according to the standard values of each second-level indicator means performing normalization processing on each second-level indicator and measuring it in the form of indicator scores. Table 2 shows the standard values of the evaluation indicators (the standard values of each second-level indicator).

[0171] Table 2 Standard Values of Evaluation Indicators

[0172]

[0173]

[0174] Note: + represents a positive indicator, and - represents a negative indicator.

[0175] In some embodiments, step S31 specifically includes steps S311 to S313:

[0176] Step S311. Determine whether each second-level indicator belongs to a positive indicator or a negative indicator.

[0177] Here, determine whether each second-level indicator belongs to a positive indicator or a negative indicator through the "indicator type" in the standard value table of the evaluation indicators. Among them, "+" represents a positive indicator, and "-" represents a negative indicator.

[0178] Step S312. If it is a positive indicator, use the following formula (3) to determine the indicator score of this second-level indicator.

[0179] S ij =X ij / T ij (3)

[0180] Where S ij is the indicator score of the i-th evaluation object on the j-th indicator, and Xij is the actual value of the i-th evaluation object on the j-th index, T ij is the standard value corresponding to the i-th evaluation object on the j-th index;

[0181] Step S313. If it is a reverse index, the following formula (4) is used to determine the index score of this secondary index,

[0182] S ij = T ij / X ij (4)

[0183] where S ij is the index score of the i-th evaluation object on the j-th index, X ij is the actual value of the i-th evaluation object on the j-th index, T ij is the standard value corresponding to the i-th evaluation object on the j-th index.

[0184] Here, a positive index is an index for which the higher the index value, the better the evaluation result. In other words, an increase in such an index will improve the overall evaluation score. A reverse index refers to an index for which the lower the index value, the better the evaluation result. That is to say, a decrease in such an index will improve the overall evaluation score.

[0185] Correctly distinguishing between positive and reverse indices can ensure that the correct processing method is adopted when standardizing evaluation indices. Positive indices need to be positively standardized (formula 3), while reverse indices need to be reversely standardized (formula 4).

[0186] In this embodiment, by determining whether the secondary index belongs to a positive index or a reverse index and using different index score calculation formulas for positive and reverse indices respectively, it helps to correctly process each evaluation index and ensure the accuracy and rationality of the evaluation result.

[0187] Step S32. According to the index scores of each secondary index and the combined weights of the corresponding secondary indices, determine the index score of each secondary index.

[0188] Here, multiply the index score of each secondary index by the combined weight of the corresponding secondary index to obtain the index score of this secondary index. As shown in Table 3, for the secondary index "land use per unit installed capacity", its index score is "97.71", and the combined weight of the corresponding secondary index is "0.1875", then 97.71 * 0.1875 = 18.32, obtaining the index score of land use per unit installed capacity as 18.32.

[0189] Step S33. Sum the index scores of each secondary index to obtain the land-saving evaluation score of the nuclear power plant.

[0190] Here, the relevant values of the land used by a nuclear power plant refer to the actual values in Table 3. For the above example, according to the calculation method of this embodiment, referring to Table 3 and Table 4, the land-saving evaluation score of a nuclear power plant is obtained as 93.09.

[0191] Table 3 Index Evaluation Table

[0192]

[0193]

[0194] Table 4 Land-Saving Evaluation Table of an Environmentally Friendly Nuclear Power Plant

[0195]

[0196] Step S34. Based on the land-saving evaluation score of the nuclear power plant, determine the evaluation level of the land-saving evaluation score of the nuclear power plant; the evaluation levels include highly utilized, moderately utilized, moderately utilized, and lowly utilized.

[0197] Here, the evaluation levels of the land used by the nuclear power plant are divided. The thresholds between the levels can be determined according to experience. As shown in Table 5. For the above example, the index score is 93.09, and the land conservation and intensive utilization degree of an environmentally friendly nuclear power plant is highly utilized.

[0198] Table 5 Classification of Land Conservation and Intensive Utilization Levels of Environmentally Friendly Nuclear Power Plants

[0199] Degree of conservation and intensive use Meaning 90-100 High utilization 75-90 Medium utilization 60-75 Moderate utilization 0-60 Low utilization

[0200] In summary, in this embodiment, through the construction of the first judgment matrix, the second judgment matrix, the third judgment matrix, the fourth judgment matrix, and the fifth judgment matrix, and the calculation of the combined weights of each secondary index, because the determination process of the combined weights of each secondary index meets the consistency test, a more reasonable land-saving evaluation score of the nuclear power plant can be calculated according to the combined weights of each secondary index and the index values of each secondary index of the land-saving evaluation of the nuclear power plant, which truly reflects the degree of conservation and intensive utilization of the land for the nuclear power plant construction project, fills the gap in the land-saving evaluation method for environmentally friendly nuclear power plants, and can systematically, comprehensively, and objectively evaluate the land use situation of environmentally friendly nuclear power plants, thereby providing a quantitative basis for government decision-making and nuclear power plant area planning.

[0201] Embodiment 2:

[0202] Next, in combination with specific application embodiments, the specific implementation process of the above method will be described.

[0203] The purpose of this embodiment is to provide a land-saving evaluation method for an environmentally friendly nuclear power plant, which fills the gap in the land-saving evaluation of environmentally friendly nuclear power plants in the prior art. The present invention constructs a fuzzy comprehensive multi-level evaluation model, which can realize the comprehensive evaluation and analysis of the index layer, criterion layer, and target layer.

[0204] To achieve the above object, as Figure 2 shown, the steps of the evaluation method in this embodiment are as follows:

[0205] Step 1: Construct a land-saving evaluation index hierarchy model for an environmentally friendly nuclear power plant.

[0206] Here, based on the requirements of economical and intensive land use and combined with the characteristics of nuclear power projects, analyze the influencing factors of land use for nuclear power projects, list the environmental-friendly nuclear power plant land-saving evaluation index system of target layer - criterion layer - index layer, analyze its logical relationship, and represent it in the form of a hierarchical diagram. Specifically, the influencing factors of land use for an environmentally friendly nuclear power plant can generally be divided into four aspects: land use scale, land use structure, land use intensity, and land use efficiency. According to engineering experience, nine evaluation indexes can be further proposed, namely land use per unit installed capacity, the proportion of plant area engineering land in the total project land, the proportion of functional zoning land, green space rate, the proportion of administrative office and living service facility land, building coefficient, road and square coefficient, investment intensity, and the number of laborers absorbed per unit land area, so as to establish a reasonable and complete environmental-friendly nuclear power plant land-saving evaluation index system of target layer - criterion layer - index layer, analyze its logical relationship, and represent it in the form of a hierarchical diagram. For details, see Figure 3 .

[0207] Step 2: Construct a judgment matrix.

[0208] Here, according to the hierarchical structure model, the nine-scale method is often used to compare each index pairwise to construct a judgment matrix. According to the relationship between the target layer, criterion layer, and index layer in the hierarchical structure model, judgment matrices are established respectively, and the eigenvector and eigenvalue of the judgment matrix are used as the weights to measure the influence of elements at this level on the target. If there exists a matrix W and a λ value for the judgment matrix A such that AW = λ max W, then W is the eigenvector of the judgment matrix A, and λ max is the maximum eigenvalue. After the obtained W is normalized, it is the weight vector of the relative importance of the corresponding elements at the same level to a certain element at the upper level. Similarly, the weight vectors and maximum eigenvalues of each index in the criterion layer and index layer can be obtained.

[0209] It can be understood that since the scheme evaluation is mainly the subjective judgment of the decision-maker, in order to make the result more representative and reasonable, in this case, by soliciting expert opinions, summarizing the opinion conclusions, the following judgment matrix is obtained and normalized calculations are carried out. Specifically, see Table 6-10. In the subsequent application of the model, the judgment matrix can also be adjusted according to the specific project characteristics.

[0210] Table 6 Judgment matrix of criterion layer (B) for target layer (A) (the first judgment matrix)

[0211]

[0212]

[0213] Table 7 Judgment matrix of the index layer with respect to the criterion layer (B 1 ) (the second judgment matrix)

[0214]

[0215] Table 8 Judgment matrix of the index layer with respect to the criterion layer (B 2 ) (the third judgment matrix)

[0216]

[0217] Table 9 Judgment matrix of the index layer with respect to the criterion layer (B 3 ) (the fourth judgment matrix)

[0218]

[0219] Table 10 Judgment matrix of the index layer with respect to the criterion layer (B 4 ) (the fifth judgment matrix)

[0220]

[0221] Step 3: Consistency test of the judgment matrix.

[0222] Here, the analytic hierarchy process requires that the judgment matrix has general consistency to make the calculation results basically reasonable. Calculate the consistency index of each judgment matrix according to the following formula (1),

[0223] CI = (λ max -n) / (n - 1) (1)

[0224] where CI is the consistency index, λ max is the maximum eigenvalue of the judgment matrix, and n is the order of the judgment matrix;

[0225] Calculate the consistency ratio of each judgment matrix according to the following formula (2),

[0226] CR = CI / RI (2)

[0227] where CR is the consistency ratio of the judgment matrix and RI is the random consistency index;

[0228] If the random consistency ratio of each layer is less than the first preset threshold (for example, 0.1), it is considered that the construction of the judgment matrix conforms to mathematical logic; otherwise, the judgment matrix needs to be re-adjusted and the consistency test needs to be performed again until the requirement that CR is less than 0.1 is met.

[0229] Specifically, through the calculation of the above matrices, it can be known that the maximum eigenvalue λmax of each matrix is 4, 2, 3.0649, 2, 2 respectively, and the random consistency ratio CR is 0, 0, 0.0624, 0, 0 respectively, all of which are less than 0.1, meeting the consistency requirement and passing the test.

[0230] Step 4: Determine the index weights.

[0231] Here, through the above steps, the combined weights of each index can be obtained, and the weight ranking of the land-saving evaluation indexes for nuclear power projects can be obtained.

[0232] For example, through the above steps, the combined weights of each index can be obtained, as shown in Table 1.

[0233] As can be seen from Table 1, the combined weights W of C11, C12, C21, C22, C23, C31, C32, C41, C42 are (0.1875, 0.0625, 0.1827, 0.0202, 0.0471, 0.2083, 0.0417, 0.1875, 0.0625), and the weights of each index for the land-saving evaluation of nuclear power projects can be obtained. The weights of the land-saving evaluation indexes for nuclear power projects are arranged in descending order as follows: building coefficient > land use per unit installed capacity = investment intensity > proportion of land for functional zoning > proportion of plant area project land in the total project land = number of laborers absorbed per unit land area > proportion of land for administrative office and living service facilities = road and square coefficient > green space rate.

[0234] Step 5: Determine the standard values of the land-saving evaluation indexes for environment-friendly nuclear power plants.

[0235] Specifically, the standard values of the evaluation indexes are selected according to the relevant regulations in the specifications. For the indexes without specific standards in the relevant specifications, the experience of approved similar projects is referred to. After the analysis of each index, the standard values of each index are determined, as shown in Table 2.

[0236] Step 6: Calculate the land-saving evaluation scores for environment-friendly nuclear power plants.

[0237] Here, first, the evaluation indexes are standardized. The standardization of the evaluation indexes adopts the standard value ratio extrapolation method and is measured by the index scores. The initial value S of the positive index score ij is calculated according to the following formula:

[0238] S ij = X ij / T ij

[0239] where X ij is the actual value of the i-th evaluation object on the j-th index, and T ij is the standard value corresponding to the i-th evaluation object on the j-th index.

[0240] Initial value S of the reverse index score ij It is calculated according to the following formula:

[0241] S ij = T ij / X ij

[0242] After calculating the initial value of the index score, according to the characteristic differences of relevant indicators or corresponding standard values, the initial value of the index score is processed according to the following principles to determine the final scores of each indicator:

[0243] (1) When 0 < S ij ≤ 100, if the indicator is a positive indicator, its specific score is S ij = X ij / T ij × 100; if the indicator is a reverse indicator, its specific score is S ij = T ij / X ij × 100.

[0244] (2) When S ij > 100, the specific score of this indicator is recorded as 100.

[0245] For example, the evaluation index of the case index is standardized to obtain the index score, and according to the weights of each index in the above text, the sub - scores of each index are calculated, as shown in Table 3.

[0246] Step Seven: Evaluation and grading of land - saving of environment - friendly nuclear power plants.

[0247] The score of the degree of conservation and intensive use reflects the level of land conservation and intensive use of construction projects. The land used for environment - friendly nuclear power plants can be divided into four levels according to the degree of conservation and intensive use, as shown in Table 5.

[0248] For example, the evaluation results of the land - saving of the case are classified. This case belongs to high - level utilization among the four levels, indicating that it meets the requirements of environmental friendliness in terms of land use, as shown in Table 4.

[0249] In this embodiment, through the construction of the index hierarchy model, the construction of the judgment matrix, the consistency test of the judgment matrix, the determination of the combined weights of the indicators, and the determination of the standard values of the indicators, the land - saving evaluation score of the nuclear power plant can be quantitatively measured, and then the land - saving evaluation grading of the nuclear power plant can be determined, providing a basis and foundation for improving the land utilization rate of nuclear power in the future.

[0250] Example 3:

[0251] As Figure 4 shown, the present invention also provides a device for evaluating land - saving of nuclear power plants. The device 100 includes:

[0252] The first construction module 11 is configured to construct a judgment matrix based on an index hierarchy model, and the judgment matrix includes a first judgment matrix, a second judgment matrix, a third judgment matrix, a fourth judgment matrix, and a fifth judgment matrix.

[0253] The index hierarchy model includes a plurality of first-level indicators and a plurality of second-level indicators respectively associated with each first-level indicator. The plurality of first-level indicators include land use scale, land use structure, land use intensity, and land use efficiency.

[0254] The first judgment matrix includes at least one of the relative importance calibration values of the land use scale, the relative importance calibration values of the land use structure, the relative importance calibration values of the land use intensity, and the relative importance calibration values of the land use efficiency. The second judgment matrix corresponds to a plurality of second-level indicators associated with the land use scale, the third judgment matrix corresponds to a plurality of second-level indicators associated with the land use structure, the fourth judgment matrix corresponds to a plurality of second-level indicators associated with the land use intensity, and the fifth judgment matrix corresponds to a plurality of second-level indicators associated with the land use efficiency.

[0255] Among them, the first judgment matrix can meet the consistency test among the first-level indicators, the second judgment matrix can meet the consistency test among the second-level indicators associated with the land use scale, the third judgment matrix can meet the consistency test among the second-level indicators associated with the land use structure, the fourth judgment matrix can meet the consistency test among the second-level indicators associated with the land use intensity, and the fifth judgment matrix can meet the consistency test among the second-level indicators associated with the land use efficiency.

[0256] The calculation module 12 is connected to the first construction module 11 and is configured to calculate the combined weights of a plurality of second-level indicators associated with the land use scale, the combined weights of a plurality of second-level indicators associated with the land use structure, the combined weights of a plurality of second-level indicators associated with the land use intensity, and the combined weights of a plurality of second-level indicators associated with the land use efficiency respectively based on the first judgment matrix and the second judgment matrix, the third judgment matrix, the fourth judgment matrix, and the fifth judgment matrix.

[0257] The determination module 13 is connected to the calculation module 12 and is configured to calculate the land use saving evaluation score of the nuclear power plant based on the combined weights of the second-level indicators and the index values of the second-level indicators of the land use saving evaluation of the nuclear power plant, so as to determine the evaluation grade of the land use saving evaluation score of the nuclear power plant.

[0258] In some embodiments, the device further includes:

[0259] The second construction module is connected to the first construction module and is configured to construct an index hierarchy model for the land use saving evaluation of the nuclear power plant, and specifically includes:

[0260] Construct multiple first-level indicators associated with the land-saving evaluation score of a nuclear power plant;

[0261] Construct multiple second-level indicators respectively associated with each first-level indicator;

[0262] Among them, the multiple second-level indicators associated with the land use scale include the land use per unit installed capacity and the proportion of the plant area project land in the total project land,

[0263] The multiple second-level indicators associated with the land use structure include the proportion of land for functional zoning, the green space rate, and the proportion of land for administrative offices and living service facilities,

[0264] The multiple second-level indicators associated with the land use intensity include the building coefficient, the road and square coefficient, and,

[0265] The second-level indicator associated with the land use efficiency includes the investment intensity and the number of laborers absorbed per unit land area.

[0266] In some embodiments, the first construction module 11 includes:

[0267] A first construction unit for respectively constructing a first judgment matrix, a second judgment matrix, a third judgment matrix, a fourth judgment matrix, and a fifth judgment matrix according to the nine-scale method;

[0268] Among them, the second judgment matrix includes at least one of the relative importance calibration values of the land use per unit installed capacity and the proportion of the plant area project land in the total project land,

[0269] The third judgment matrix includes at least one of the relative importance calibration values of the proportion of land for functional zoning, the green space rate, and the proportion of land for administrative offices and living service facilities,

[0270] The fourth judgment matrix includes at least one of the relative importance calibration values of the building coefficient and the road and square coefficient,

[0271] The fifth judgment matrix includes at least one of the relative importance calibration values of the investment intensity and the number of laborers absorbed per unit land area;

[0272] An inspection unit, connected to the first construction unit, for performing a consistency test on the first judgment matrix, constructing a first judgment matrix that meets the consistency test, and

[0273] Performing consistency tests on the second judgment matrix, the third judgment matrix, the fourth judgment matrix, and the fifth judgment matrix respectively, and constructing second judgment matrix, third judgment matrix, fourth judgment matrix, and fifth judgment matrix that meet the consistency test.

[0274] In some embodiments, the inspection unit is further configured to calculate the consistency index of each judgment matrix respectively according to the following formula (1):

[0275] CI = (λ max - n) / (n - 1) (1)

[0276] where CI is the consistency index, λ max is the maximum eigenvalue of the judgment matrix, and n is the order of the judgment matrix;

[0277] Calculate the consistency ratio of each judgment matrix respectively according to the following formula (2):

[0278] CR = CI / RI (2)

[0279] where CR is the consistency ratio of the judgment matrix, and RI is the random consistency index;

[0280] If the consistency ratio of the judgment matrix is less than the first preset threshold, the judgment matrix meets the consistency test requirements; if the consistency ratio is greater than or equal to the first preset threshold, the judgment matrix does not meet the consistency test requirements, and the nine-scale method is re-adopted to adjust the judgment matrix until a judgment matrix that can meet the consistency test is determined.

[0281] In some embodiments, when applied to the evaluation of land saving in an environmentally friendly nuclear power plant, the inspection unit is further configured to construct the first judgment matrix A that meets the consistency test 1 as follows:

[0282]

[0283] Construct the second judgment matrix, the third judgment matrix, the fourth judgment matrix, and the fifth judgment matrix that meet the consistency test, where the second judgment matrix B 1 , the third judgment matrix B 2 , the fourth judgment matrix B 3 , and the fifth judgment matrix B 4 are in turn as follows:

[0284]

[0285] In some embodiments, the calculation module 12 includes:

[0286] The fourth determination unit is configured to determine the eigenvectors of the first judgment matrix, the second judgment matrix, the third judgment matrix, the fourth judgment matrix, and the fifth judgment matrix respectively;

[0287] The normalization unit is connected to the fourth determination unit and is configured to perform normalization processing on each of the above eigenvectors to determine the weight vectors of the primary indicators and each secondary indicator;

[0288] A fifth determination unit, connected to the normalization unit, is configured to determine the combined weights of each secondary index according to the eigenvectors of the first judgment matrix, the eigenvectors of the second judgment matrix, the eigenvectors of the third judgment matrix, the eigenvectors of the fourth judgment matrix, and the eigenvectors of the fifth judgment matrix.

[0289] In some embodiments, the fifth determination unit is further configured to determine the combined weights of the land used per unit installed capacity and the proportion of the factory area project land in the total project land according to the eigenvector of the first judgment matrix and the second judgment matrix vector.

[0290] According to the eigenvector of the first judgment matrix and the third judgment matrix vector, determine the combined weights of the land use ratio of the functional area, the green space rate, and the proportion of the land for administrative offices and living service facilities.

[0291] According to the eigenvector of the first judgment matrix and the fourth judgment matrix vector, determine the combined weights of the building coefficient and the road and square coefficient.

[0292] According to the eigenvector of the first judgment matrix and the fifth judgment matrix vector, determine the combined weights of the investment intensity and the number of laborers absorbed per unit land area.

[0293] In some embodiments, the determination module 13 includes:

[0294] A first determination unit, configured to determine the index scores of each secondary index according to the standard values of each secondary index.

[0295] A second determination unit, connected to the first determination unit, is configured to determine the index score of each secondary index according to the index score of each secondary index and the combined weight of the corresponding secondary index.

[0296] A summation unit, connected to the second determination unit, is configured to sum the index scores of each secondary index to obtain the land-saving evaluation score of the nuclear power plant.

[0297] A third determination unit, connected to the summation unit, is configured to determine the evaluation grade of the land-saving evaluation score of the nuclear power plant based on the land-saving evaluation score of the nuclear power plant; the evaluation grades include highly utilized, moderately utilized, moderately utilized, and lowly utilized.

[0298] In some embodiments, the first determination unit is further configured to determine whether each secondary index belongs to a positive index or a negative index.

[0299] If it is a positive index, the following formula (3) is used to determine the index score of the secondary index.

[0300] S ij =X ij / Tij (3)

[0301] Among them, S ij is the index score of the i-th evaluation object on the j-th index, and X ij is the actual value of the i-th evaluation object on the j-th index, and T ij is the standard value corresponding to the i-th evaluation object on the j-th index;

[0302] If it is a reverse index, the following formula (4) is used to determine the index score of this secondary index

[0303] S ij = T ij / X ij (4)

[0304] Among them, S ij is the index score of the i-th evaluation object on the j-th index, and X ij is the actual value of the i-th evaluation object on the j-th index, and T ij is the standard value corresponding to the i-th evaluation object on the j-th index.

[0305] It should be noted that this embodiment is the corresponding device for the nuclear power plant land-saving evaluation method in the above-mentioned Embodiment 1. Using this device can implement the method in Embodiment 1. The specific implementation manner can refer to the description in the nuclear power plant land-saving evaluation method, and this embodiment will not be elaborated here.

[0306] Embodiment 4:

[0307] This embodiment provides a method for adjusting the land occupation of a nuclear power plant, including:

[0308] Determine the evaluation grade of the nuclear power plant land-saving evaluation score according to the nuclear power plant land-saving evaluation method described in Embodiment 1 or Embodiment 2

[0309] Adjust the land occupation of the nuclear power plant according to the evaluation grade to improve the land utilization rate of the nuclear power plant.

[0310] In this embodiment, by determining the evaluation grade of the nuclear power plant land-saving evaluation score and adjusting the land occupation of the nuclear power plant, it is convenient to improve the land utilization rate of the nuclear power plant.

[0311] Embodiment 5:

[0312] This embodiment of the application can provide an electronic device, including a processor and a memory storing computer program instructions. When the processor executes the computer program instructions, it implements any one of the nuclear power plant land-saving evaluation methods in the above-mentioned Embodiment 1.

[0313] It should be clear that the present application is not limited to the specific configurations and processes described above and shown in the figures. For the sake of brevity, detailed descriptions of known methods are omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present application is not limited to the specific steps described and shown. Those skilled in the art can make various changes, modifications, and additions, or change the order between steps after understanding the spirit of the present application.

[0314] The functional blocks shown in the above structural block diagrams can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application-specific integrated circuit (ASIC), appropriate firmware, a plug-in, a functional card, and so on. When implemented in software, the elements of the present application are programs or code segments used to perform the required tasks. The program or code segment can be stored in a machine-readable medium or transmitted via a data signal carried in a carrier wave on a transmission medium or a communication link. A "machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical discs, hard disks, fiber optic media, radio frequency (RF) links, and so on. The code segment can be downloaded via a computer network such as the Internet, an intranet, and so on.

[0315] The above is only the specific implementation manner of the present application. Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the systems, modules, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated here. It should be understood that the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present application can easily think of various equivalent modifications or substitutions, and these modifications or substitutions should all be covered within the protection scope of the present application.

Claims

1. A method for evaluating land saving in a nuclear power plant, characterized in that: include: S1. Constructing a judgment matrix based on the indicator hierarchy model, the judgment matrix includes a first judgment matrix, a second judgment matrix, a third judgment matrix, a fourth judgment matrix and a fifth judgment matrix, The indicator hierarchy model includes a plurality of first-level indicators and a plurality of second-level indicators respectively associated with each first-level indicator, wherein the plurality of first-level indicators include land use scale, land use structure, land use intensity and land use efficiency; The first judgment matrix includes at least one of the relative importance calibration value of land scale, the relative importance calibration value of land structure, the relative importance calibration value of land intensity and the relative importance calibration value of land benefit; the second judgment matrix corresponds to multiple secondary indicators associated with land scale, the third judgment matrix corresponds to multiple secondary indicators associated with land structure, the fourth judgment matrix corresponds to multiple secondary indicators associated with land intensity, and the fifth judgment matrix corresponds to multiple secondary indicators associated with land benefit; Among them, the first judgment matrix can satisfy the consistency test between each first-level indicator, the second judgment matrix can satisfy the consistency test between each second-level indicator associated with the land use scale, the third judgment matrix can satisfy the consistency test between each second-level indicator associated with the land use structure, the fourth judgment matrix can satisfy the consistency test between each second-level indicator associated with the land use intensity, and the fifth judgment matrix can satisfy the consistency test correspondence between each second-level indicator associated with the land use efficiency; S2. Based on the first judgment matrix and the second judgment matrix, the third judgment matrix, the fourth judgment matrix, and the fifth judgment matrix, respectively calculate the combined weights of multiple secondary indicators associated with land use scale, the combined weights of multiple secondary indicators associated with land use structure, the combined weights of multiple secondary indicators associated with land use intensity, and the combined weights of multiple secondary indicators associated with land use efficiency; S3. Based on the combined weights of the secondary indicators and the index values ​​of the secondary indicators of the nuclear power plant land saving evaluation, the nuclear power plant land saving evaluation score is calculated to determine the evaluation level of the nuclear power plant land saving evaluation score.

2. The nuclear power plant land saving evaluation method according to claim 1, characterized in that: It also includes step S0: S0. Construct an index hierarchy model for land saving evaluation of nuclear power plants, which specifically includes: Construct multiple primary indicators associated with the land saving evaluation scores of nuclear power plants; Construct multiple secondary indicators that are associated with each primary indicator; Among them, several secondary indicators related to land use scale include land use per unit of installed capacity, the proportion of plant engineering land to total engineering land, The multiple secondary indicators associated with the land use structure include the land use ratio of functional zoning, green space ratio, and the land use ratio of administrative offices and living service facilities. Multiple secondary indicators associated with land use intensity include building coefficient, road square coefficient, and Secondary indicators related to land use efficiency include investment intensity and the number of workers absorbed per unit area.

3. The nuclear power plant land saving evaluation method according to claim 1, characterized in that: Step S1 specifically includes: S11. According to the nine-scale method, construct a first judgment matrix, a second judgment matrix, a third judgment matrix, a fourth judgment matrix, and a fifth judgment matrix respectively; The second judgment matrix includes at least one of the relative importance calibration value of the land used per unit of installed capacity and the relative importance calibration value of the proportion of the plant engineering land to the total engineering land. The third judgment matrix includes at least one of the relative importance calibration value of the functional zoning land ratio, the relative importance calibration value of the greening rate, and the relative importance calibration value of the administrative office and life service facility land ratio. The fourth judgment matrix includes at least one of the relative importance calibration value of the building coefficient and the relative importance calibration value of the road square coefficient. The fifth judgment matrix includes at least one of the relative importance calibration value of investment intensity and the relative importance calibration value of the number of labor force absorbed per unit area; S12. Perform a consistency check on the first judgment matrix to construct a first judgment matrix that satisfies the consistency check, and The second judgment matrix, the third judgment matrix, the fourth judgment matrix, and the fifth judgment matrix are respectively subjected to consistency checks, and the second judgment matrix, the third judgment matrix, the fourth judgment matrix, and the fifth judgment matrix that meet the consistency checks are constructed.

4. The nuclear power plant land saving evaluation method according to claim 3, characterized in that: Step S12 specifically includes: S121. Calculate the consistency index of each judgment matrix according to the following formula (1): CI = (λ max -n) / (n-1) (1) Among them, CI is the consistency index, λ max is the maximum eigenvalue of the judgment matrix, n is the order of the judgment matrix; S122. Calculate the consistency ratio of each judgment matrix according to the following formula (2): CR=CI / RI (2) Among them, CR is the consistency ratio of the judgment matrix, and RI is the random consistency index; S123. If the consistency ratio of the judgment matrix is ​​less than the first preset threshold, the judgment matrix meets the consistency test requirements; if the consistency ratio is greater than or equal to the first preset threshold, the judgment matrix does not meet the consistency test requirements, and the nine-scale method is re-adopted to adjust the judgment matrix until a judgment matrix that meets the consistency test is determined.

5. The nuclear power plant land saving evaluation method according to claim 4, characterized in that: The method is applied to the land-saving evaluation of environmentally friendly nuclear power plants, and the first judgment matrix A1 that satisfies the consistency test is constructed as follows: The second judgment matrix, the third judgment matrix, the fourth judgment matrix, and the fifth judgment matrix that meet the consistency test are constructed, wherein the second judgment matrix B1, the third judgment matrix B2, the fourth judgment matrix B3, and the fifth judgment matrix B4 are respectively:

6. The nuclear power plant land saving evaluation method according to claim 2, characterized in that: Step S2 specifically includes: S21. Determine the eigenvectors of the first judgment matrix, the second judgment matrix, the third judgment matrix, the fourth judgment matrix, and the fifth judgment matrix respectively; S22. respectively normalize the above-mentioned characteristic vectors to determine the weight vectors of the primary index and each secondary index; S23. Determine the combined weight of each secondary indicator based on the eigenvector of the first judgment matrix, the eigenvector of the second judgment matrix, the eigenvector of the third judgment matrix, the eigenvector of the fourth judgment matrix, and the eigenvector of the fifth judgment matrix.

7. The nuclear power plant land saving evaluation method according to claim 6, characterized in that: Step S23 specifically includes: According to the eigenvector of the first judgment matrix and the vector of the second judgment matrix, the combined weight of the land used per unit installed capacity and the combined weight of the proportion of the plant project land to the total project land are determined. According to the eigenvector of the first judgment matrix and the vector of the third judgment matrix, the combined weight of the functional zoning land ratio, the combined weight of the greening rate, and the combined weight of the administrative office and life service facility land ratio are determined. According to the eigenvector of the first judgment matrix and the vector of the fourth judgment matrix, the combined weight of the building coefficient and the combined weight of the road square coefficient are determined. According to the eigenvectors of the first judgment matrix and the vectors of the fifth judgment matrix, the combined weights of the investment intensity and the combined weights of the number of laborers absorbed per unit area are determined.

8. The nuclear power plant land saving evaluation method according to claim 1, characterized in that: Step S3 specifically includes: S31. Determine the index score of each secondary index according to the standard value of each secondary index; S32. Determine the indicator score of each secondary indicator according to the indicator score of each secondary indicator and the combined weight of the corresponding secondary indicators; S33. Sum the index scores of each secondary index to obtain the land saving evaluation score of the nuclear power plant; S34. Based on the land-saving evaluation score of the nuclear power plant, determine the evaluation level of the land-saving evaluation score of the nuclear power plant; the evaluation level includes high utilization, medium utilization, moderate utilization and low utilization.

9. The nuclear power plant land saving evaluation method according to claim 8, characterized in that: Step S31 specifically includes: Determine whether each secondary indicator is a positive indicator or a negative indicator; If it is a positive indicator, the following formula (3) is used to determine the indicator score of the secondary indicator: S ij =X ij / T ij (3) Among them, S ij is the index score of the i-th evaluation object on the j-th index, X ij is the actual value of the i-th evaluation object on the j-th indicator, T ij is the standard value of the i-th evaluation object on the j-th indicator; If it is a reverse indicator, the following formula (4) is used to determine the indicator score of the secondary indicator: S ij =T ij / X ij (4) Among them, S ij is the index score of the i-th evaluation object on the j-th index, X ij is the actual value of the i-th evaluation object on the j-th indicator, T ij is the standard value of the jth indicator corresponding to the ith evaluation object.

10. A land saving evaluation device for a nuclear power plant, characterized in that: The device comprises: A first construction module is configured to construct a judgment matrix based on an indicator hierarchy model, wherein the judgment matrix includes a first judgment matrix, a second judgment matrix, a third judgment matrix, a fourth judgment matrix and a fifth judgment matrix. The indicator hierarchy model includes a plurality of first-level indicators and a plurality of second-level indicators respectively associated with each first-level indicator, wherein the plurality of first-level indicators include land use scale, land use structure, land use intensity and land use efficiency; The first judgment matrix includes at least one of the relative importance calibration value of land scale, the relative importance calibration value of land structure, the relative importance calibration value of land intensity and the relative importance calibration value of land benefit; the second judgment matrix corresponds to multiple secondary indicators associated with land scale, the third judgment matrix corresponds to multiple secondary indicators associated with land structure, the fourth judgment matrix corresponds to multiple secondary indicators associated with land intensity, and the fifth judgment matrix corresponds to multiple secondary indicators associated with land benefit; Among them, the first judgment matrix can satisfy the consistency test between each first-level index, the second judgment matrix can satisfy the consistency test between each second-level index associated with the land use scale, the third judgment matrix can satisfy the consistency test between each second-level index associated with the land use structure, the fourth judgment matrix can satisfy the consistency test between each second-level index associated with the land use intensity, and the fifth judgment matrix can satisfy the consistency test between each second-level index associated with the land use efficiency; A calculation module, connected to the first construction module, configured to calculate, based on the first judgment matrix and the second judgment matrix, the third judgment matrix, the fourth judgment matrix, and the fifth judgment matrix, respectively, a combination weight of multiple secondary indicators associated with land use scale, a combination weight of multiple secondary indicators associated with land use structure, a combination weight of multiple secondary indicators associated with land use intensity, and a combination weight of multiple secondary indicators associated with land use efficiency; The determination module is connected to the calculation module and is configured to calculate the nuclear power plant land saving evaluation score based on the combined weights of the secondary indicators and the index values ​​of the secondary indicators of the nuclear power plant land saving evaluation to determine the evaluation level of the nuclear power plant land saving evaluation score.

11. A method for adjusting land occupation of a nuclear power plant, characterized in that: include: Determine the evaluation level of the nuclear power plant land saving evaluation score according to the nuclear power plant land saving evaluation method according to any one of claims 1 to 9, The land occupation of the nuclear power plant is adjusted according to the evaluation level to improve the land utilization rate of the nuclear power plant.

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