Coastal zone space resource three-dimensional efficient utilization condition evaluation method and device

Abstract

The invention discloses a coastal zone space resource three-dimensional efficient utilization condition evaluation method and device. The method comprises the steps of establishing an index system, determining a first weight and a value of each evaluation index in the index system, determining a coastal zone space resource three-dimensional utilization index according to the first weight and the value of each evaluation index, and the like. According to the method, the resource three-dimensional utilization condition of the coastal zone can be more effectively and scientifically subjected to zoning and grading evaluation, the multi-dimensional and three-dimensional attributes of the space resources can be fully considered, the comprehensive influence of multiple factors is considered, the marine space resource three-dimensional utilization condition can be more effectively subjected to grading evaluation, certain universality is achieved, and the method is suitable for popularization and application. The method can be applied to different regions, the adopted evaluation method can perform evaluation more objectively and quantitatively, and more detailed and quantitative data support can be provided for development and treatment of the coastal zone, so that scientific decision making is facilitated. The method is widely applied to the technical field of computers.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a method and device for evaluating the three-dimensional and efficient utilization of coastal space resources. Background Art

[0002] With the rapid development of social population and economic activities, human demand for space resources is increasing. Space resources cover the entire land and sea. The development and utilization of land space resources have reached a certain scale and degree, and the three-dimensional use value is constantly being explored. Therefore, the expansion and three-dimensional utilization of marine space resources has become the key to solving this contradiction.

[0003] There are various types of marine space resource utilization, including marine transportation space, production space, communication space, and cultural living space. However, due to the influence of the complex marine environment, the current three-dimensional development and utilization of marine space resources is difficult, risky, requires high capital investment, and is extensive.

[0004] As an important part of the national space, the sea area is the space and carrier of marine development and utilization activities, a prerequisite for the gathering of factors such as marine capital, labor and technology, and an important support for the large marine economy. The coastal zone refers to the area where the sea and land interact with each other. It is the intertidal zone (tidal flat) affected by the tides and seawater every day, and the land and shallow sea transition zone on both sides.

[0005] At present, the three-dimensional development and utilization of coastal zones is still relatively lagging behind and a complete and comprehensive evaluation system has not yet been formed. Therefore, it is difficult to objectively and efficiently evaluate the utilization status of spatial resources in a coastal zone, and it is impossible to further evaluate the efficiency and reasonable level of utilization of the coastal zone. It is impossible to provide decision-making support for the scientific development, utilization and management of the coastal zone. The development and utilization of the coastal zone tends to be blind, single, disorderly, chaotic and inefficient. Summary of the invention

[0006] In view of the technical problems that the current marine development technology is difficult to objectively and efficiently evaluate the utilization status of its space resources, cannot further evaluate the efficiency and rational level of coastal zone utilization, and cannot provide decision-making support for the scientific development, utilization and management of the coastal zone, the purpose of the present invention is to provide a three-dimensional and efficient utilization status evaluation method and device for coastal space resources.

[0007] On the one hand, an embodiment of the present invention includes a method for evaluating the three-dimensional efficient utilization of coastal space resources, and the method for evaluating the three-dimensional efficient utilization of coastal space resources includes the following steps:

[0008] Establishing an index system; the index system includes a plurality of evaluation indicators, each of which represents the three-dimensional utilization status of marine space resources from a corresponding dimension;

[0009] Determining a first weight of each evaluation indicator in the indicator system;

[0010] Obtaining the value of each evaluation indicator in the indicator system;

[0011] According to the first weight and value of each evaluation indicator in the indicator system, the three-dimensional utilization index of coastal space resources is determined.

[0012] Furthermore, the determining of the first weight of each evaluation indicator in the indicator system includes:

[0013] The first weight of each evaluation index is determined by using the hierarchical analysis method.

[0014] Furthermore, the use of the analytic hierarchy process to determine the first weight of each of the evaluation indicators includes:

[0015] According to the type of each evaluation indicator, each evaluation indicator is divided into a corresponding criterion layer, thereby forming a plurality of criterion layers;

[0016] Comparing the criterion layers in pairs with each other, determining the importance comparison value between any two criterion layers, thereby obtaining a plurality of first importance comparison values;

[0017] generating a first judgment matrix according to each of the first importance comparison values;

[0018] For any of the criterion layers, the evaluation indicators belonging to the criterion layer are compared with each other in pairs, and the importance comparison value between any two of the evaluation indicators belonging to the criterion layer is determined, so as to obtain a plurality of second importance comparison values ​​corresponding to the criterion layer;

[0019] For any of the criterion layers, generating a second judgment matrix corresponding to the criterion layer according to each of the second importance comparison values ​​corresponding to the criterion layer, thereby obtaining a plurality of the second judgment matrices;

[0020] According to the first judgment matrix and each of the second judgment matrices, a first weight of each of the evaluation indicators is calculated.

[0021] Furthermore, the calculating the first weight of each of the evaluation indicators according to the first judgment matrix and each of the second judgment matrices includes:

[0022] For any judgment matrix, determine the geometric mean of each row element in the judgment matrix according to the order of the judgment matrix;

[0023] For any of the criterion layers, find out the proportion of the geometric mean corresponding to the criterion layer to all the geometric mean values ​​corresponding to the first judgment matrix in which the criterion layer is located, and obtain a second weight corresponding to the criterion layer;

[0024] For any of the evaluation indicators, find out the proportion of the geometric mean corresponding to the evaluation indicator to all the geometric mean values ​​corresponding to the second judgment matrix where the evaluation indicator is located, and obtain the second weight corresponding to the evaluation indicator. Determine the product based on the second weight corresponding to the evaluation indicator and the second weight corresponding to the criterion layer to which the evaluation indicator belongs, and use it as the first weight corresponding to the evaluation indicator.

[0025] Furthermore, the method of using the analytic hierarchy process to determine the first weight of each of the evaluation indicators further includes:

[0026] Performing consistency checks on the first judgment matrix and each of the second judgment matrices to obtain the consistency of each judgment matrix;

[0027] When it is detected that the consistency of any judgment matrix is ​​greater than or equal to the threshold, the judgment matrix is ​​modified.

[0028] Furthermore, the three-dimensional utilization index of coastal space resources is determined according to the first weight and value of each evaluation index in the index system, including:

[0029] Performing weighted summation according to the first weights and values ​​of the evaluation indicators in the indicator system;

[0030] According to the result of weighted summation, the three-dimensional utilization index of the coastal zone space resources is determined.

[0031] Furthermore, the obtaining of the value of each evaluation indicator in the indicator system includes:

[0032] According to the type of each evaluation indicator, respectively determine the data source of each evaluation indicator; the data source includes field observation, remote sensing image and model reasoning;

[0033] The values ​​of the evaluation indicators are obtained through the data source.

[0034] Furthermore, the establishment of the indicator system includes:

[0035] Acquire an indicator library; the indicator library includes multiple candidate indicators;

[0036] Obtain natural and ecological environment information;

[0037] According to the natural information and the ecological environment information, obtaining at least one corresponding candidate indicator from the indicator library to form a first indicator group;

[0038] Dynamically crawl socio-economic and policy information;

[0039] According to the social and economic information and the policy information, obtaining at least one corresponding candidate indicator from the indicator library to form a second indicator group;

[0040] Establishing the indicator system according to the first indicator group and the second indicator group;

[0041] The second indicator group is dynamically updated according to the latest socio-economic information and policy information.

[0042] Furthermore, the dynamic crawling of social economic information and policy information includes:

[0043] Obtaining the change rate of the natural information and the ecological environment information;

[0044] According to the change rate of the natural information and the ecological environment information, the scale and frequency of crawling the social and economic information and policy information are determined; wherein, the scale and frequency of crawling the social and economic information and policy information are negatively correlated with the change rate, and the scale of crawling the social and economic information and policy information is positively correlated with the scale of the second indicator group.

[0045] On the other hand, an embodiment of the present invention also includes a computer device, including a memory and a processor, the memory is used to store at least one program, and the processor is used to load at least one program to execute the three-dimensional and efficient utilization status evaluation method of coastal space resources in the embodiment.

[0046] The beneficial effect of the present invention is that through the evaluation method for the three-dimensional and efficient utilization of coastal space resources in the embodiment, the impact of the integrated land-sea environmental space system of "natural resources-social economy-ecological environment-policy drive-spatial compatibility" on the three-dimensional utilization of marine space resources is taken into account, and the three-dimensional utilization of coastal resources can be more effectively and scientifically zoned and graded. It can fully consider the multi-dimensional and three-dimensional attributes of spatial resources, consider the comprehensive influence of various factors, and more effectively grade the three-dimensional utilization of marine space resources. It has a certain universality and can be applied to different regions. The evaluation method adopted can be more objective and quantitative, and can provide more detailed and quantitative data support for the development and management of the coastal zone, which is conducive to scientific decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1It is a schematic diagram of the principle of the method for evaluating the three-dimensional efficient utilization of coastal space resources in the embodiment;

[0048] Figure 2 Schematic diagram of the steps of the method for evaluating the three-dimensional and efficient utilization of coastal space resources in the embodiment;

[0049] Figure 3 It is a schematic diagram of the idea and principle of the basic principle of the state space model in the embodiment;

[0050] Figure 4 Schematic diagram of an index system including multiple evaluation indexes in the embodiment. DETAILED DESCRIPTION

[0051] In recent years, the continuous and stable supply of marine resources has ensured the steady and orderly growth of the marine economy. With the continuous expansion and extension of the depth and breadth of the scale of marine development and utilization, the limited marine space resources have gradually become prominent, the layout of offshore marine industries has become more and more dense, the contradictions in the use of the sea have continued to intensify, and the resource bottleneck constraints have become increasingly prominent, which has put forward higher requirements for the utilization efficiency of marine space resources. At the same time, with the continuous improvement of the level of marine engineering technology, the construction scale of large-scale marine engineering projects such as cross-sea bridges, submarine tunnels, and submarine cables and pipelines has continued to expand. Due to their long crossing distances, they are easy to overlap or intersect with other marine activities in terms of spatial resources, which brings many difficulties to marine development and management. However, the current "planar" management approach to marine space is difficult to fully release the potential benefits of marine use. Therefore, a new "three-dimensional" development and utilization model of marine space resources has become a practical need. In this case, changing the "planar" management approach to the sea area, arranging marine industries from a three-dimensional perspective, evaluating and allocating the decision-making sea space has become an effective way to solve the above problems. In this way, it can not only alleviate the spatial contradictions of different industries in the use of the sea, but also effectively improve the utilization rate of marine resources and realize intensive and economical use of the sea area. Aims to achieve high-efficiency, high-tech, low-consumption, low-pollution, overall coordination, recycling, healthy and sustainable utilization of ocean space resources.

[0052] Marine space resources include marine water bodies, sea surface and its overlying space, seabed and subsoil. Like land resources, it has both natural attributes and socio-economic attributes. Marine space resources and coastal land will present a diversified development trend, promoting land and sea coordination, joint development and coordinated development. The three-dimensional utilization of marine space resources is a problem that integrates various resources and involves comprehensive consideration of land and sea integration of "natural resources-social economy-ecological environment-policy drive-spatial compatibility". It can be seen that the utilization of marine space resources is not "planar" and "single", but "three-dimensional" and "diversified".

[0053] The three-dimensional utilization of marine space resources is an inevitable trend for efficient resource utilization and development of marine economy. Comprehensive, complete, scientific and effective evaluation of the three-dimensional utilization of marine space resources can help realize the coordinated development and management of regional marine space resources, spatial mixed and layered utilization, and optimize resource spatial allocation. It is also a necessary content for expanding marine development space, forming new growth points for marine economy, and realizing high-quality development of marine economy and sustainable development of marine ecological environment. However, the existing evaluation standards for the three-dimensional utilization of marine space resources are not perfect enough. The evaluation standards are mostly based on a single local marine functional zoning document, which is only applicable to specific regions and is not universal. The evaluation standards in different regions vary greatly, and the evaluation results are not comparable. Moreover, the selection of evaluation indicators fails to fully reflect the three-dimensional importance of land-sea coordination of "natural resources-social economy-ecological environment-policy drive-spatial compatibility". In the previous evaluation process, there is often a lack of indicators that reflect the vertical utilization of marine space resources, the utilization of adjacent land resources and spatial compatibility, and it is impossible to conduct a comprehensive and comprehensive evaluation of the three-dimensional utilization of marine space resources in the three-dimensional system of land-sea coordination. Therefore, the existing evaluation standards and methods for the three-dimensional utilization of marine space resources can no longer meet the current increasing evaluation needs for the three-dimensional utilization of marine space resources and the pursuit of more reasonable and efficient utilization.

[0054] The existing hierarchical evaluation of the three-dimensional utilization of marine space resources mainly focuses on a single plane or two spatial dimensions of the ocean water body, sea surface and its overlying space, seabed, and subsoil, and fails to cover the complete three-dimensional space. In summary, the relevant evaluation technology still has the following deficiencies:

[0055] (1) There is no accurate unified standard for the evaluation framework. Different research purposes and needs focus on different parameters. There is no clear list, and the screening criteria are unclear and inconsistent. The evaluation technology is not universal and lacks quantitative comparison. (2) Marine space resources are affected by complex conditions such as strong openness, strong mobility, large differences in nature, and multi-dimensional scale. It is difficult to select indicators that can accurately and comprehensively reflect the three-dimensional and multi-dimensional aspects of marine space resources. Indicators that reflect the utilization of sea surface overlying space, seabed and subsoil space resources (such as subsoil conditions, spatial mixed utilization, three-dimensional transportation, etc.) are rarely mentioned and the existing indicators lack quantification and need to be further improved. (3) The evaluation method is backward, subjective, arbitrary and empirical. The results are vague, general, flexible and non-unique. They can be used to initially reflect the short-term resource utilization status, but cannot reflect the true overall status of the three-dimensional utilization of marine space resources. (4) The impact of adjacent land and spatial compatibility cannot be ignored, but it is not well reflected in the evaluation process. The three-dimensional utilization of marine space resources is a land-sea integration and three-dimensional comprehensive consideration involving "natural resources-social economy-ecological environment-policy drive-spatial compatibility". The above-mentioned deficiencies have resulted in the inability of existing technologies to comprehensively assess the status of three-dimensional utilization of marine space resources.

[0056] In view of the shortcomings of relevant evaluation techniques, you can refer to Figure 1 , and make the following improvements:

[0057] (1) Comprehensively consider the current status and long-term planning of the utilization of marine space resources in coastal areas, focus on the documents and measures related to the three-dimensional utilization of marine space resources at the national and central levels, select parameters that can reflect the overall situation, avoid parameters with strong regional and independent characteristics, clarify the parameter list, and form a universal and adaptable evaluation standard for the three-dimensional utilization of marine space resources in different regions.

[0058] (2) Update and optimize the evaluation system to meet the high-quality development requirements of the new era. With the continuous adjustment of the integrated marine management model and control policies, the continuous diversification of marine space resource utilization methods and the continuous deepening of utilization, the evaluation focus of the three-dimensional utilization of marine space resources has also responded and changed accordingly, requiring the optimization of the lagging evaluation system and framework and the timely replacement of evaluation indicators.

[0059] (3) Add multi-dimensional spatial resource indicators that can reflect the sea surface overlying space, seabed and subsoil (such as subsoil conditions, spatial mixed utilization, three-dimensional transportation, etc.). Due to the low level of control and complex utilization of marine space resources compared with land space resources, it is impossible to fully understand and figure out the uses of space resources in each block, select some relatively easy-to-measure and easy-to-obtain quantitative indicators to characterize and evaluate its three-dimensional utilization, and consider the utilization status of each space resource in the vertical direction as much as possible.

[0060] (4) Almost every evaluation method for the three-dimensional utilization of marine space resources involves a large number of indicators and requires the collection of a large amount of data. Different data processing methods (such as different data standardization calculation methods) will affect the comparability and reliability of the evaluation results. Therefore, data processing should have a unified calculation method to reduce the data differences of the same indicator caused by different processing methods in the evaluation process.

[0061] (5) Use objective quantitative evaluation methods to provide detailed and quantitative data and results, reduce errors caused by subjective factors, and make effective assessments of the three-dimensional utilization of marine space resources. This will help the research on the three-dimensional utilization of marine space resources to shift from empirical judgment to objective evaluation. It can not only reveal possible problems and constraints in resource utilization, but also provide a decision-making basis for scientific management and the three-dimensional development and utilization of marine space resources.

[0062] (6) Add indicators such as the development status of adjacent land areas, spatial compatibility, and spatial three-dimensional utilization structure to achieve a three-dimensional utilization evaluation of marine space resources that integrates land and sea. Marine space resources include coastal space resources. The coastal zone is a geographical unit that connects, combines, and intersects the marine system and the land system. Therefore, the three-dimensional utilization rating of marine space resources cannot be without land evaluation indicators, such as the intensity of adjacent land development and the degree of fit of regional attributes. This is also an important aspect of land and sea coordination. At the same time, the utilization of marine space resources is achieved through vertical expansion and compatibility of upward and downward space. The utilization of marine space resources is not in a single two-dimensional plane direction, but in a multi-dimensional three-dimensional layered manner. Therefore, the three-dimensional utilization rating of marine space resources cannot be without evaluation indicators such as spatial compatibility and three-dimensional utilization structure that characterize the multi-dimensional utilization of space resources.

[0063] Based on the above improvements, in this embodiment, a method for evaluating the three-dimensional and efficient utilization of coastal space resources is provided. Each step in the method for evaluating the three-dimensional and efficient utilization of coastal space resources can be executed by a computer.

[0064] Reference Figure 2 The evaluation method for the three-dimensional efficient utilization of coastal space resources includes the following steps:

[0065] S1. Establish an indicator system;

[0066] S2. Determine the first weight of each evaluation indicator in the indicator system;

[0067] S3. Obtain the value of each evaluation indicator in the indicator system;

[0068] S4. Determine the three-dimensional utilization index of coastal space resources based on the first weight and value of each evaluation indicator in the index system.

[0069] In step S1, the basic principle of the state space model is introduced, such as Figure 3 As shown in the figure, the complex system is decomposed in series in linear space through equation decomposition and matrix transformation to represent the state of the vector, that is, the complex system is decomposed in series through transfer function, and the complex terms are analyzed hierarchically to describe the relationship between the various resource elements of the ocean space. Based on the "natural resources-socio-economic-ecological environment-policy drive-spatial compatibility" model framework, the three-dimensional utilization of ocean space resources, especially the coastal zone, is evaluated from the perspective of exploring the relationship between the three-dimensional utilization form of ocean space resources and the utilization benefits and sustainability.

[0070] For example, taking the graded evaluation of the three-dimensional resource utilization status of the coastal zone of the Guangdong-Hong Kong-Macao Greater Bay Area as an example, comprehensive consideration is given to the natural factors, socio-economic factors, ecological environmental factors and policy factors of the ocean and adjacent land in the Guangdong-Hong Kong-Macao Greater Bay Area, and the evaluation feasibility, comprehensiveness and referenceability are followed. The selection of evaluation indicators should be hierarchical, representative, important, distinctive, discriminative and accessible. To construct an evaluation index system suitable for the classification of the three-dimensional utilization status of marine space resources in the Guangdong-Hong Kong-Macao Greater Bay Area.

[0071] In this embodiment, the result of executing step S1 is as follows: Figure 4 and as shown in Table 1. Figure 4 According to Table 1, an index system containing 25 evaluation indicators can be established, and each evaluation indicator represents the three-dimensional utilization of marine space resources from the corresponding dimension. For example, index C1 represents the three-dimensional utilization of marine space resources from the dimension of resource abundance, and index C2 represents the three-dimensional utilization of marine space resources from the dimension of water depth conditions.

[0072] Table 1

[0073]

[0074]

[0075] Figure 4 In Table 1, the types and meanings of each indicator are as follows:

[0076] C1 Resource abundance: reflects the quantity of biological resources, tourism resources, power resources and mineral resources in the three-dimensional sea use area.

[0077] C2 Water depth conditions: Water depth conditions will have a direct impact on the water temperature, light and nearshore wave action of the sea area. It can reflect the average water depth conditions that meet the suitability of coastal fishery economic activities and nearshore marine engineering construction (including marine ranch construction, offshore wind farm site selection, port planning, establishment of marine protected areas, etc.).

[0078] C3 Subsoil: reflects the quality of seabed sediments.

[0079] C4 Marine disasters: reflects the marine disaster situation based on the exposure frequency of disaster factors.

[0080] C5 Geology: Measures geological environmental conditions based on the stability of the Earth's crust.

[0081] C6 Environmental capacity: reflects the area of ​​the three-dimensional sea use area and the length of the coastline (referring to the boundary between land and sea during the high tide levels of many years), as well as the scale of the marine nature reserve.

[0082] C7 Current water quality: measure the health of water quality based on indicators such as pH, dissolved oxygen, and chlorophyll a

[0083] C8 Ecological health: reflects the health status of the ecosystem in the three-dimensional sea use area.

[0084] C9 Intensity of sea area development and utilization: The degree of development and utilization is measured based on the added value of marine industries and the output value per unit of sea area.

[0085] C10 Adjacent land development intensity: reflects the gross output value of the primary, secondary and tertiary industries in the adjacent land of the three-dimensional sea-use area.

[0086] C11 Marine industry layout: The growth rate of the value generated by the marine industry through the year-on-year growth rate system indirectly reflects the rationality of the industry layout.

[0087] C12 Demand intensity: The increase in employment in the "four major enterprises" related to the sea in the three-dimensional sea-using area reflects to a certain extent the demand for the utilization of spatial resources in the sea-using area.

[0088] C13 Industrial compatibility: The industry is developing in an orderly and healthy direction, and the mutual compatibility between industries can be reflected based on the parameters of industrial structure optimization.

[0089] C14 Environmental compatibility: reflects the compatibility of the industry with the environment while developing.

[0090] C15 Regional attribute fit: The degree of fit is linked to the proportion of the total output value of the marine industry to the regional GDP. The higher the fit, the greater the proportion.

[0091] C16 Spatial mixed utilization: reflects that the sea area space has three-dimensional solidity. In addition to the horizontal area content, it also includes vertical space content. In the vertical direction, it can be divided into four layers of space: water surface, water body, seabed and subsoil.

[0092] C17 Comprehensive Benefit Index: Entropy theory can better reflect the benefit level of the marine industry structure, that is, the industry benefit entropy reflects the benefit status of the industry.

[0093] C18 Unit output: refers to the per capita marine output value and the per capita income generated by three-dimensional sea use.

[0094] C19 Biodiversity level: a comprehensive expression of the number of biological species and the uniformity of the distribution of the number of individuals among species, represented by the Shannon-Wiener diversity index.

[0095] C20 Environmental capacity: physiological condition of regional vegetation, green biomass and vegetation productivity, etc.

[0096] C21 Water quality improvement degree: Improvement of ocean water quality.

[0097] C22 Landscape: Whether tourism and leisure products can be provided in the three-dimensional sea area.

[0098] C23 vertical depth value: the vertical connection distance of the three-dimensional sea area.

[0099] C24 Plane depth value: the connectivity distance of the three-dimensional sea area on the plane.

[0100] C25 Three-dimensional transportation: the convenience of reaching the nearest important geographical feature from a certain point in the multi-level transportation space in the horizontal and vertical directions.

[0101] Referring to Table 1, each evaluation index is divided into a corresponding criterion layer. For example, the evaluation index C1 of type "resource abundance" is divided into the criterion layer of natural resource suitability B1, and the evaluation index C7 of type "current water quality" is divided into the criterion layer of marine environmental carrying capacity B2, thus forming multiple criterion layers such as B1, B2, etc.

[0102] Referring to Table 1, these evaluation indicators can be divided into positive indicators and negative indicators according to their effectiveness. Among them, positive indicators are evaluation indicators with an indicator effect of "+" in Table 1. The larger the value of the positive indicator, the more positive the impact. Negative indicators are evaluation indicators with an indicator effect of "-" in Table 1. The larger the value of the negative indicator, the more negative the impact. For example, the improvement degree of C21 water quality is a positive indicator. If the improvement degree of C21 water quality in a coastal zone is greater, the quality of this coastal zone is higher; C4 marine disasters are a negative indicator. If the C4 marine disasters in a coastal zone are greater, the quality of this coastal zone is worse.

[0103] In this embodiment, when executing step S2, that is, the step of determining the first weight of each evaluation indicator in the indicator system, the Analytic Hierarchy method (Analytic Hierarchy) can be used to determine the first weight of each evaluation indicator.

[0104] Specifically, when executing step S2 and using the analytic hierarchy process to determine the first weight of each evaluation indicator, the following steps may be performed:

[0105] S201. According to the type of each evaluation indicator, each evaluation indicator is divided into a corresponding criterion layer, thereby forming a plurality of criterion layers;

[0106] S202. Compare each criterion layer with each other in pairs, determine the importance comparison value between any two criterion layers, and thus obtain multiple first importance comparison values;

[0107] S203. Generate a first judgment matrix according to each first importance comparison value;

[0108] S204. For any criterion layer, compare the evaluation indicators belonging to the criterion layer in pairs, determine the importance comparison value between any two evaluation indicators belonging to the criterion layer, and thus obtain multiple second importance comparison values ​​corresponding to the criterion layer;

[0109] S205. For any criterion layer, generate a second judgment matrix corresponding to the criterion layer according to each second importance comparison value corresponding to the criterion layer, thereby obtaining multiple second judgment matrices;

[0110] S206. Calculate the first weight of each evaluation index according to the first judgment matrix and each second judgment matrix.

[0111] The result of executing step S201 is shown in Table 1. Each evaluation index is divided into a corresponding criterion layer. Since different evaluation indexes may be divided into different criterion layers, multiple criterion layers such as B1, B2, etc. are formed.

[0112] In step S202, for multiple criterion layers such as B1, B2, etc. in Table 1, the criterion layers are compared with each other in pairs to determine the importance comparison value between any two criterion layers, thereby obtaining multiple first importance comparison values.

[0113] When executing step S202, as shown in Table 2, for the i-th criterion layer and the j-th criterion layer, the relative importance between them is determined, so as to determine the first importance comparison value A ij The value of .

[0114] Table 2

[0115]

[0116] When executing step S202, after the first importance comparison value A has been determined according to Table 2 ij If we want to determine the first importance comparison value A ji The value of the first importance comparison value A ij Take the reciprocal, that is

[0117]

[0118] In this embodiment, since there are 7 criterion layers B1, B2, ..., B7, i and j traverse 1, 2, ..., 7 respectively, so as to obtain all the first importance comparison values ​​A. ij .

[0119] In step S203, all first importance comparison values ​​A ij The first judgment matrix A can be formed, that is

[0120]

[0121] In step S204, referring to Table 1, each criterion layer has multiple evaluation indicators. Taking one of the criterion layers as an example, the evaluation indicators belonging to this criterion layer are compared with each other in pairs, and the importance comparison value between any two evaluation indicators belonging to this criterion layer is determined, thereby obtaining multiple second importance comparison values ​​corresponding to this criterion layer. In step S205, these second importance comparison values ​​can form a second judgment matrix corresponding to this criterion layer. Steps S204-S205 can be performed for each criterion layer, so a corresponding second judgment matrix can be generated for each criterion layer.

[0122] The principle of step S204 is similar to that of step S202. Taking one of the criterion layers as an example, when step S204 is executed, as shown in Table 3, the relative importance between the i-th evaluation index and the j-th evaluation index in this criterion layer is determined, thereby determining the second importance comparison value B corresponding to this criterion layer. ij The value of .

[0123] Table 3

[0124]

[0125] The same principle as step S202, when executing step S204, after the second importance comparison value B has been determined according to Table 3 ij If we want to determine the second importance comparison value B ji The value of the second importance comparison value B ij Take the reciprocal, that is

[0126]

[0127] Taking the eco-environmental benefit of criterion layer B6 as an example, since this criterion layer has a total of four evaluation indicators, namely, C19 biodiversity level, C20 environmental capacity, C21 water quality improvement, and C22 landscape, i and j traverse 19, 20, 21, and 22 respectively, so as to obtain all the second importance comparison values ​​B corresponding to the eco-environmental benefit of this criterion layer, namely, criterion layer B6. ij .

[0128] In step S205, taking the ecological environment benefit of the criterion layer B6 as an example, all the second importance comparison values ​​B corresponding to the ecological environment benefit of the criterion layer B6 are ij , can form the second judgment matrix B corresponding to the ecological and environmental benefits of the criterion layer B6, that is

[0129]

[0130] In this embodiment, by executing steps S202-S203, the first judgment matrix and the second weights corresponding to each criterion layer are obtained as shown in Table 4.

[0131] Table 4 The first judgment matrix and the second weights corresponding to each criterion layer

[0132]

[0133] In this embodiment, by executing steps S204-S205 for each evaluation indicator in the criterion layer B1, the second judgment matrix corresponding to the criterion layer B1 and the second weights corresponding to each evaluation indicator in the criterion layer B1 are obtained as shown in Table 5.

[0134] Table 5 The second judgment matrix corresponding to the criterion layer B1 and the second weights corresponding to each evaluation index in the criterion layer B1

[0135]

[0136] In this embodiment, by executing steps S204-S205 for each evaluation indicator in the criterion layer B2, the second judgment matrix corresponding to the criterion layer B2 and the second weights corresponding to each evaluation indicator in the criterion layer B2 are obtained as shown in Table 6.

[0137] Table 6 The second judgment matrix corresponding to the criterion layer B2 and the second weights corresponding to each evaluation index in the criterion layer B2

[0138]

[0139]

[0140] In this embodiment, by executing steps S204-S205 for each evaluation indicator in the criterion layer B3, the second judgment matrix corresponding to the criterion layer B3 and the second weights corresponding to each evaluation indicator in the criterion layer B3 are obtained as shown in Table 7.

[0141] Table 7 The second judgment matrix corresponding to the criterion layer B3 and the second weights corresponding to each evaluation index in the criterion layer B3

[0142] C9 C10 C11 C12 Second weight C9 1 5 3 7 0.1326 C10 1 / 5 1 1 / 3 5 0.0480 C11 1 / 3 3 1 5 0.2609 C12 1 / 7 1 / 5 1 / 5 1 0.5585

[0143] In this embodiment, by executing steps S204-S205 for each evaluation indicator in the criterion layer B4, the second judgment matrix corresponding to the criterion layer B4 and the second weights corresponding to each evaluation indicator in the criterion layer B4 are obtained as shown in Table 8.

[0144] Table 8 The second judgment matrix corresponding to the criterion layer B4 and the second weights corresponding to each evaluation index in the criterion layer B4

[0145] C13 C14 C15 Second weight C13 1 7 5 0.7306 C14 1 / 7 1 1 / 3 0.0810 C15 1 / 5 3 1 0.1884

[0146] In this embodiment, by executing steps S204-S205 for each evaluation index in the criterion layer B5, the second judgment matrix corresponding to the criterion layer B5 and the second weights corresponding to each evaluation index in the criterion layer B5 are obtained as shown in Table 9.

[0147] Table 9 The second judgment matrix corresponding to the criterion layer B5 and the second weights corresponding to each evaluation index in the criterion layer B5

[0148] C16 C17 C18 Second weight C16 1 3 5 0.6370 C17 1 / 3 1 3 0.2583 C18 1 / 5 1 / 3 1 0.1047

[0149] In this embodiment, by executing steps S204-S205 for each evaluation indicator in the criterion layer B6, the second judgment matrix corresponding to the criterion layer B6 and the second weights corresponding to each evaluation indicator in the criterion layer B6 are obtained as shown in Table 10.

[0150] Table 10 The second judgment matrix corresponding to the criterion layer B6 and the second weights corresponding to each evaluation index in the criterion layer B6

[0151] C19 C20 C21 C22 Second weight C19 1 5 5 7 0.6129 C20 1 / 5 1 3 5 0.2218 C21 1 / 5 1 / 3 1 3 0.1127 C22 1 / 7 1 / 5 1 / 3 1 0.0526

[0152] In this embodiment, by executing steps S204-S205 for each evaluation indicator in the criterion layer B7, the second judgment matrix corresponding to the criterion layer B7 and the second weights corresponding to each evaluation indicator in the criterion layer B7 are obtained as shown in Table 11.

[0153] Table 11 The second judgment matrix corresponding to the criterion layer B7 and the second weights corresponding to each evaluation index in the criterion layer B7

[0154] C23 C24 C25 Second weight C23 1 1 / 3 1 / 7 0.0810 C24 3 1 1 / 5 0.1884 C25 7 5 1 0.7306

[0155] In this embodiment, when executing step S206, that is, the step of calculating the first weight of each evaluation indicator according to the first judgment matrix and each second judgment matrix, the following steps may be specifically performed:

[0156] S20601. For any judgment matrix, determine the geometric mean of each row element in the judgment matrix according to the order of the judgment matrix;

[0157] S20602. For any criterion layer, find out the proportion of the geometric mean corresponding to the criterion layer to all the geometric mean values ​​corresponding to the first judgment matrix in which the criterion layer is located, and obtain the second weight corresponding to the criterion layer;

[0158] S20603. For any evaluation indicator, find out the proportion of the geometric mean corresponding to the evaluation indicator to all the geometric mean values ​​corresponding to the second judgment matrix where the evaluation indicator is located, and obtain the second weight corresponding to the evaluation indicator. Determine the product according to the second weight corresponding to the evaluation indicator and the second weight corresponding to the criterion layer to which the evaluation indicator belongs, and use it as the first weight corresponding to the evaluation indicator.

[0159] The “judgment matrix” in steps S20601 to S20603 may refer to the first judgment matrix or a second judgment matrix.

[0160] In step S20601, the formula

[0161]

[0162] Calculate the geometric mean of each row of elements. Where n is the order of the judgment matrix, a ij is the element in the i-th row and j-th column of the judgment matrix.

[0163] In step S20601, taking the second judgment matrix corresponding to the criterion layer B1 shown in Table 5 as an example, this second judgment matrix is ​​a 5-order square matrix, that is, the order is 5, and the 5 rows of elements correspond to evaluation indicators such as C1, C2, C3, C4 and C5 respectively. When executing step S20601, the geometric mean corresponding to the evaluation indicator C1 corresponding to the first row is The geometric mean of the evaluation index C2 corresponding to the second row is The geometric mean of the evaluation index C3 corresponding to the third row is The geometric mean of the evaluation index C4 corresponding to the fourth row is The geometric mean of the evaluation index C5 corresponding to the fifth row is

[0164] In step S20602, the geometric mean obtained in step S20601 can be calculated by the following formula: Normalize it,

[0165]

[0166] The normalized result w i As the second weight corresponding to each criterion layer or evaluation index in the judgment matrix.

[0167] In steps S20602-S20603, following the example of step S20601, the normalized result corresponding to the evaluation index C1 corresponding to the first row is w1=3.7433 / (3.7433+2.1084+0.4911+0.8152+0.3165)=0.5008. Therefore, in Table 5, the second weight corresponding to the evaluation index C1 corresponding to the first row is 0.5008. Similarly, in Table 5, the second weights corresponding to C2 corresponding to the second row, C3 corresponding to the third row, C5 corresponding to the fourth row, and C5 corresponding to the fifth row are 0.2821, 0.0657, 0.1091, and 0.0423, respectively. Similarly, the second weights corresponding to each criterion layer or evaluation index in Table 4 and Tables 6-11 can be obtained.

[0168] After executing steps S20602-S20603 to obtain the second weights corresponding to each criterion layer and each evaluation index, a consistency check may be performed on the first judgment matrix and each second judgment matrix.

[0169] In this embodiment, the consistency check process includes: for a judgment matrix (such as the first judgment matrix or a second judgment matrix A), by formula

[0170]

[0171] Calculate the index CI corresponding to the judgment matrix A, where n is the order of the judgment matrix A, λ max It can be calculated by the following formula:

[0172]

[0173] Among them, w is the weight vector composed of the second weights corresponding to the judgment matrix A, (A·w) iis the i-th element of the vector A·w.

[0174] After calculating the index CI corresponding to the judgment matrix A, the corresponding random consistency index RI can be found from Table 12 according to the order n of the judgment matrix A, and then the formula

[0175]

[0176] The consistency CR corresponding to the judgment matrix A is calculated.

[0177] Table 12 RI value table

[0178] n RI n RI 1 0 9 1.45 2 0 10 1.49 3 0.58 11 1.52 4 0.90 12 1.54 5 1.12 13 1.56 6 1.24 14 1.58 7 1.32 15 1.59 8 1.41

[0179] If the consistency CR corresponding to the judgment matrix A satisfies a threshold value (for example, 0.1), that is, CR<0.1, the consistency of the judgment matrix A is considered acceptable. If the consistency CR corresponding to the judgment matrix A is greater than the threshold value, that is, CR≥0.1, the judgment matrix A needs to be corrected.

[0180] After executing steps S20602-S20603 to obtain the second weights corresponding to each criterion layer and evaluation index, if all judgment matrices pass the consistency check, step S20603 is followed to calculate the first weights.

[0181] In step S20603, taking the evaluation index C1 as an example, its corresponding second judgment matrix is ​​shown in Table 5. According to Table 5, the second weight corresponding to the evaluation index C1 is 0.5008; the criterion layer to which the evaluation index C1 belongs is B1. According to Table 5, the second weight corresponding to the criterion layer B1 is 0.1392; therefore, the first weight corresponding to the evaluation index C1 is the product of the two second weights, that is, the first weight corresponding to the evaluation index C1 is 0.5008×0.1392=0.0697. Similarly, the first weights corresponding to each evaluation index such as C2, C3...C25 can be calculated, as shown in Table 13.

[0182] Table 13 Evaluation index first weight table

[0183]

[0184] After executing step S2 to obtain the first weight of each evaluation indicator, execute step S3.

[0185] In this embodiment, when executing step S3, that is, the step of obtaining the value of each evaluation indicator in the indicator system, the following steps may be specifically performed:

[0186] S301. According to the type of each evaluation indicator, determine the data source of each evaluation indicator;

[0187] S302. Obtain the value of each evaluation indicator through the data source.

[0188] In step S301, a data source suitable for the evaluation index is selected according to the type of each evaluation index. For example, for the evaluation index of type C7 current water quality, it is suitable to obtain its value through field observation; for the evaluation index of type C2 water depth condition, it is suitable to obtain its value through remote sensing image; for the evaluation index of type C11 marine industry layout, it is suitable to obtain its value through model reasoning.

[0189] In step S302, the values ​​of the respective evaluation indicators are detected or queried according to the data source selected in step S301.

[0190] By executing steps S301-S302, appropriate data sources for each evaluation index can be selected to obtain the values ​​of each evaluation index, thereby providing feasibility for the evaluation of the three-dimensional and efficient utilization of coastal space resources. For example, the values ​​obtained by field observation have good accuracy; the values ​​obtained by remote sensing images have good real-time performance and can overcome the difficulty of reaching certain observation points; the values ​​obtained by model reasoning can still obtain corresponding values ​​when actual measurements cannot be made. Among them, the model reasoning method can be to use a trained artificial intelligence model to predict the historical values ​​of a certain evaluation index to obtain a new value of this evaluation index.

[0191] In this embodiment, when executing step S4, that is, determining the three-dimensional utilization index of coastal space resources according to the first weights and values ​​of each evaluation index in the index system, the following steps can be specifically performed:

[0192] S401. Perform weighted summation according to the first weight and value of each evaluation indicator in the indicator system;

[0193] S402. Determine the three-dimensional utilization index of coastal zone space resources based on the result of weighted summation.

[0194] In step S401, since the unit dimensions of the evaluation indicators are different and it is not easy to make a direct comparison, the original data of the values ​​of the evaluation indicators may first be standardized.

[0195] For example, for positive indicators, normalization can be performed using the following formula:

[0196]

[0197] For negative indicators, they can be normalized using the following formula:

[0198]

[0199] In the above formula, x pq is the value of the qth evaluation index of the pth sample in the coastal zone to be evaluated, is the maximum value of all values ​​of the qth evaluation index of all samples, is the minimum value of all values ​​of the qth evaluation index of all samples, y pq For x pq The evaluation indicators after standardization.

[0200] In step S402, when a total of m evaluation indexes are tested for the pth sample, the following formula can be used:

[0201]

[0202] Calculate the three-dimensional utilization index of coastal space resources 3D-UMSI corresponding to the pth sample, where W q for y pq This evaluation indicator corresponds to the first weight in Table 13.

[0203] In this embodiment, the value range of 3D-UMSI is [0,1]. The larger the score, the better the three-dimensional utilization of coastal resources at the pth sample, and the lower the score, the worse it is. Different utilization conditions are divided according to different score ranges, namely efficient and reasonable utilization, acceptable and reasonable utilization, inefficient and unreasonable utilization, and unacceptable and unreasonable utilization, as shown in Table 14.

[0204] Table 14 Coastal health status classification

[0205]

[0206] According to the results in Table 14, the utilization status of the coastal zone can be judged, thereby providing scientific decision-making support for whether to develop the coastal zone, when to develop the coastal zone, and how to develop the coastal zone.

[0207] In this embodiment, the execution of steps S1-S4 takes into account the impact of the land-sea integrated environmental space system of "natural resources-social economy-ecological environment-policy drive-spatial compatibility" on the three-dimensional utilization of marine space resources. Taking the Guangdong-Hong Kong-Macao Greater Bay Area as an example, the geographical characteristics of the sea area and adjacent land area of ​​the Guangdong-Hong Kong-Macao Greater Bay Area are taken into account, and key indicators such as natural resource suitability-marine link carrying capacity-marine economic benefits-spatial compatibility-spatial three-dimensional utilization structure-ecological environmental benefits-three-dimensional connectivity efficiency are taken into account. It can more effectively and scientifically evaluate the three-dimensional utilization of marine space resources in a zoned and graded manner; compared with the previous indicator system, the indicator system constructed in step S1 When developing the system, the impact of land-sea linkage and the multi-dimensional and three-dimensional attributes of spatial resources were fully considered. Social and economic indicators involving land, such as the development intensity and demand intensity of adjacent land, were added; indicators reflecting spatial compatibility, such as industrial compatibility, environmental compatibility and regional attribute fit, were added; indicators such as the degree of spatial mixed utilization and three-dimensional transportation were selected for characterization in terms of the multi-dimensional and three-dimensional nature of spatial resources; the comprehensive impact of the sea and adjacent land on the three-dimensional utilization of spatial resources, such as natural, economic, ecological and policy, was fully considered. This indicator system can more effectively grade and evaluate the three-dimensional utilization of marine space resources, and has a certain degree of universality and can be applied to different regions. At the same time, the evaluation method adopted is more objective and quantitative, which can provide more detailed and quantitative data, make its results more reasonable, simplify the complex evaluation process, and improve the effectiveness of the evaluation.

[0208] In this embodiment, executing steps S1-S4 has the following effects:

[0209] (1) Based on the fusion of multi-source data from field observations, remote sensing images, mathematical models and other comprehensive means, a three-dimensional land-sea coordinated multi-dimensional spatial utilization system of marine space resources is proposed, which includes “natural resources-social economy-ecological environment-policy drive-spatial compatibility”.

[0210] (2) By combining the basic principle of the state space model with the analytic hierarchy process, the factors affecting the three-dimensional utilization of marine space resources and the evaluation factors can be effectively decomposed and transmitted hierarchically.

[0211] (3) A complete hierarchical and graded evaluation of the three-dimensional utilization of marine space resources is conducted based on the natural resource suitability, marine carrying capacity, marine economic benefits, spatial compatibility, spatial three-dimensional utilization structure, ecological and environmental benefits, and three-dimensional connectivity efficiency.

[0212] In this embodiment, when executing step S1, that is, the step of establishing an indicator system, in addition to the following Figure 4 In addition to selecting C1 resource abundance, C2 water depth conditions, etc. to form an indicator system, the following steps can also be performed:

[0213] S101. Obtain indicator library;

[0214] S102. Obtain natural information and ecological environment information;

[0215] S103. According to the natural information and the ecological environment information, obtain at least one corresponding candidate indicator from the indicator library to form a first indicator group;

[0216] S104. Dynamically crawl social and economic information and policy information;

[0217] S105. According to the social and economic information and policy information, obtain at least one corresponding candidate indicator from the indicator library to form a second indicator group;

[0218] S106. Establish an indicator system based on the first indicator group and the second indicator group;

[0219] S107. Dynamically update the second indicator group based on the latest socio-economic information and policy information.

[0220] In step S101, the established indicator library includes a plurality of candidate indicators. In addition to indicators of types such as C1, C2, ..., C25, these candidate indicators may also include other different indicators.

[0221] In step S102, the natural information and ecological environment information of the coastal zone to be evaluated can be obtained by consulting literature or other means, wherein the natural information includes information describing natural factors such as the location and topography of the coastal zone, and the ecological environment information includes information describing environmental factors such as species types and environment types of the coastal zone.

[0222] In step S103, according to the natural information and ecological environment information obtained in step S102, at least one corresponding candidate indicator is obtained from the indicator library to form a first indicator group. For example, candidate indicators such as C6 environmental capacity, which correspond to natural information and ecological environment information, can be used to form the first indicator group.

[0223] In step S104, social economic information and policy information can be dynamically crawled from the Internet, wherein the social economic information includes information describing economic development trends, etc., and the policy information includes information describing the management party's coastal zone development plan, etc.

[0224] In step S105, according to the social economic information and policy information obtained in step S104, at least one corresponding candidate indicator is obtained from the indicator library to form a second indicator group. For example, candidate indicators of types such as C11 marine industry layout, C13 industry compatibility, and C25 three-dimensional transportation correspond to the social economic information and policy information and can be used to form the second indicator group.

[0225] In step S106, an indicator system is established using the first indicator group obtained in step S103 and the second indicator group obtained in step S105.

[0226] In step S107, since the crawling of social and economic information and policy information is carried out dynamically, the second indicator group is dynamically updated based on the latest crawled social and economic information and policy information, so that at least a part of the types of evaluation indicators included in the indicator system, i.e., the part corresponding to the second indicator group, is dynamically updated.

[0227] In this embodiment, the principle of executing steps S101-S107 is that within a time period on a scale such as a year, the natural information and ecological environment information obtained in step S102 are relatively static and unchanged, the socio-economic information and policy information obtained in step S104 are relatively dynamically changing, the first indicator group generated based on the natural information and ecological environment information is also relatively static and unchanged, and the second indicator group generated based on the socio-economic information and policy information is also relatively dynamically changing, so that the types of evaluation indicators included in the indicator system can partially change dynamically with the development of the socio-economic development, and keep the static and unchanged parts to adapt to the natural environment, so that the indicator system can meet the three-dimensional needs of both nature and society.

[0228] In this embodiment, within a time period of ten years or so, natural information and ecological environment information may also change. Taking natural information as an example, the rate of change of natural information can be calculated by calculating the difference between natural information before and after the change and dividing it by the number of natural information before the change. Then, according to the rate of change of natural information and ecological environment information, the scale and frequency of crawling social and economic information and policy information are determined. For example, if the rate of change of natural information and ecological environment information is smaller, then in the future, social and economic information and policy information will be crawled at a larger scale and frequency, that is, more social and economic information and policy information will be crawled more frequently, and more types of evaluation indicators will be obtained accordingly to form the second indicator group.

[0229] By crawling more socio-economic and policy information more frequently while the rate of change of natural and ecological environmental information is smaller, the insufficiency of the first indicator group can be compensated by a second indicator group that is updated faster and larger in scale, so that the indicator system can meet the current needs of social development and maintain the availability of the evaluation method for the three-dimensional and efficient utilization of coastal spatial resources.

[0230] A computer program for executing the method for evaluating the three-dimensional and efficient utilization of coastal space resources in this embodiment can be written and written into a computer device or storage medium. When the computer program is read out and executed, the method for evaluating the three-dimensional and efficient utilization of coastal space resources in this embodiment is executed, thereby achieving the same technical effect as the method for evaluating the three-dimensional and efficient utilization of coastal space resources in the embodiment.

[0231] It should be noted that, unless otherwise specified, when a feature is referred to as being "fixed" or "connected" to another feature, it may be directly fixed or connected to the other feature, or it may be indirectly fixed or connected to the other feature. In addition, the descriptions of up, down, left, right, etc. used in the present disclosure are only relative to the relative positional relationship of the components of the present disclosure in the accompanying drawings. The singular forms of "a", "" and "the" used in the present disclosure are also intended to include the plural forms, unless the context clearly indicates other meanings. In addition, unless otherwise defined, all technical and scientific terms used in this embodiment have the same meaning as those generally understood by those skilled in the art. The terms used in the specification of this embodiment are only for describing specific embodiments and are not intended to limit the present invention. The term "and / or" used in this embodiment includes any combination of one or more related listed items.

[0232] It should be understood that, although the term first, second, third etc. may be adopted to describe various elements in the present disclosure, these elements should not be limited to these terms. These terms are only used to distinguish the same type of elements from each other. For example, without departing from the scope of the present disclosure, the first element may also be referred to as the second element, and similarly, the second element may also be referred to as the first element. The use of any and all examples or exemplary language ("for example", "such as" etc.) provided by the present embodiment is only intended to better illustrate embodiments of the present invention, and unless otherwise required, the scope of the present invention will not be limited.

[0233] It should be appreciated that embodiments of the present invention may be implemented or enforced by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer-readable memory. The method may be implemented in a computer program using standard programming techniques - including a non-transitory computer-readable storage medium configured with a computer program, wherein the storage medium so configured causes the computer to operate in a specific and predefined manner - according to the methods and drawings described in the specific embodiments. Each program may be implemented in a high-level procedural or object-oriented programming language to communicate with a computer system. However, if desired, the program may be implemented in assembly or machine language. In any case, the language may be a compiled or interpreted language. In addition, the program may be run on a programmed dedicated integrated circuit for this purpose.

[0234] In addition, the operations of the process described in this embodiment may be performed in any suitable order, unless otherwise indicated in this embodiment or otherwise clearly contradicted by the context. The process described in this embodiment (or variations and / or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions, and may be implemented as a code (e.g., executable instructions, one or more computer programs, or one or more applications) executed on one or more processors in common, by hardware or a combination thereof. A computer program includes a plurality of instructions that may be executed by one or more processors.

[0235] Further, the method can be implemented in any type of computing platform that is operably connected to a suitable computer, including but not limited to a personal computer, a minicomputer, a mainframe, a workstation, a network or distributed computing environment, a separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, etc. Various aspects of the present invention can be implemented in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, an optical read and / or write storage medium, a RAM, a ROM, etc., so that it can be read by a programmable computer, and when the storage medium or device is read by the computer, it can be used to configure and operate the computer to perform the process described herein. In addition, the machine-readable code, or part thereof, can be transmitted via a wired or wireless network. When such media includes instructions or programs that implement the above steps in conjunction with a microprocessor or other data processor, the invention of this embodiment includes these and other different types of non-transitory computer-readable storage media. When programmed according to the methods and techniques of the present invention, the present invention also includes the computer itself.

[0236] The computer program can be applied to input data to perform the functions of the present embodiment, thereby converting the input data to generate output data stored in a non-volatile memory. The output information can also be applied to one or more output devices such as a display. In a preferred embodiment of the present invention, the converted data represents a physical and tangible object, including a specific visual depiction of the physical and tangible object produced on the display.

[0237] The above are only preferred embodiments of the present invention. The present invention is not limited to the above embodiments. As long as the technical effects of the present invention are achieved by the same means, any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present invention shall be included in the scope of protection of the present invention. Within the scope of protection of the present invention, its technical solutions and / or implementation methods may have various modifications and changes.

Claims

1. A method for evaluating the three-dimensional and efficient utilization of coastal space resources. It is characterized in that The three-dimensional and efficient utilization evaluation method of coastal zone space resources includes: Establishing an index system; the index system includes a plurality of evaluation indicators, each of which represents the three-dimensional utilization status of marine space resources from a corresponding dimension; Determining a first weight of each evaluation indicator in the indicator system; Obtaining the value of each evaluation indicator in the indicator system; According to the first weight and value of each evaluation indicator in the indicator system, the three-dimensional utilization index of coastal space resources is determined.

2. The method for evaluating the three-dimensional efficient utilization of coastal space resources according to claim 1, It is characterized in that The determining of the first weight of each evaluation indicator in the indicator system includes: The first weight of each evaluation index is determined by using the hierarchical analysis method.

3. The method for evaluating the three-dimensional efficient utilization of coastal space resources according to claim 2, It is characterized in that The method of using the analytic hierarchy process to determine the first weight of each evaluation indicator includes: According to the type of each evaluation indicator, each evaluation indicator is divided into a corresponding criterion layer, thereby forming a plurality of criterion layers; Comparing the criterion layers in pairs with each other, determining the importance comparison value between any two criterion layers, thereby obtaining a plurality of first importance comparison values; generating a first judgment matrix according to each of the first importance comparison values; For any of the criterion layers, the evaluation indicators belonging to the criterion layer are compared with each other in pairs, and the importance comparison value between any two of the evaluation indicators belonging to the criterion layer is determined, so as to obtain a plurality of second importance comparison values ​​corresponding to the criterion layer; For any of the criterion layers, generating a second judgment matrix corresponding to the criterion layer according to each of the second importance comparison values ​​corresponding to the criterion layer, thereby obtaining a plurality of the second judgment matrices; According to the first judgment matrix and each of the second judgment matrices, a first weight of each of the evaluation indicators is calculated.

4. The method for evaluating the three-dimensional efficient utilization of coastal space resources according to claim 3, It is characterized in that The calculating the first weight of each of the evaluation indicators according to the first judgment matrix and each of the second judgment matrices includes: For any judgment matrix, determine the geometric mean of each row element in the judgment matrix according to the order of the judgment matrix; For any of the criterion layers, find out the proportion of the geometric mean corresponding to the criterion layer to all the geometric mean values ​​corresponding to the first judgment matrix in which the criterion layer is located, and obtain a second weight corresponding to the criterion layer; For any of the evaluation indicators, find out the proportion of the geometric mean corresponding to the evaluation indicator to all the geometric mean values ​​corresponding to the second judgment matrix where the evaluation indicator is located, and obtain the second weight corresponding to the evaluation indicator. Determine the product based on the second weight corresponding to the evaluation indicator and the second weight corresponding to the criterion layer to which the evaluation indicator belongs, and use it as the first weight corresponding to the evaluation indicator.

5. The method for evaluating the three-dimensional efficient utilization of coastal space resources according to claim 4, It is characterized in that The method of using the hierarchical analysis method to determine the first weight of each evaluation indicator further includes: Performing consistency checks on the first judgment matrix and each of the second judgment matrices to obtain the consistency of each judgment matrix; When it is detected that the consistency of any judgment matrix is ​​greater than or equal to the threshold, the judgment matrix is ​​modified.

6. The method for evaluating the three-dimensional efficient utilization of coastal space resources according to claim 1, It is characterized in that Determining the three-dimensional utilization index of coastal space resources according to the first weights and values ​​of the evaluation indicators in the indicator system includes: Performing weighted summation according to the first weights and values ​​of the evaluation indicators in the indicator system; According to the result of weighted summation, the three-dimensional utilization index of the coastal zone space resources is determined.

7. The method for evaluating the three-dimensional efficient utilization of coastal space resources according to claim 1, It is characterized in that The obtaining of the value of each evaluation indicator in the indicator system comprises: According to the type of each evaluation indicator, respectively determine the data source of each evaluation indicator; the data source includes field observation, remote sensing image and model reasoning; The values ​​of the evaluation indicators are obtained through the data source.

8. The method for evaluating the three-dimensional efficient utilization of coastal space resources according to any one of claims 1 to 7, It is characterized in that The establishment of the indicator system includes: Acquire an indicator library; the indicator library includes multiple candidate indicators; Obtain natural and ecological environment information; According to the natural information and the ecological environment information, obtaining at least one corresponding candidate indicator from the indicator library to form a first indicator group; Dynamically crawl socio-economic and policy information; According to the social and economic information and the policy information, obtaining at least one corresponding candidate indicator from the indicator library to form a second indicator group; Establishing the indicator system according to the first indicator group and the second indicator group; The second indicator group is dynamically updated according to the latest socio-economic information and policy information.

9. The method for evaluating the three-dimensional efficient utilization of coastal space resources according to claim 8, It is characterized in that The dynamic crawling of social economic information and policy information includes: Obtaining the change rate of the natural information and the ecological environment information; According to the change rate of the natural information and the ecological environment information, the scale and frequency of crawling the social and economic information and policy information are determined; wherein, the scale and frequency of crawling the social and economic information and policy information are negatively correlated with the change rate, and the scale of crawling the social and economic information and policy information is positively correlated with the scale of the second indicator group.

10. A computer device, It is characterized in that It includes a memory and a processor, the memory is used to store at least one program, and the processor is used to load at least one program to execute the three-dimensional efficient utilization status evaluation method of coastal space resources as described in any one of claims 1-9.

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