Underground space resource utilization suitability evaluation system

Abstract

The invention discloses an underground space resource utilization suitability evaluation system. The system comprises a space database, ArcGIS software, an analytic hierarchy process module, a comprehensive evaluation model, a fuzzy comprehensive evaluation model and a visualization tool. According to the invention, the landform, landform and geological data of the underground space are stored through the spatial database, the ArcGIS software extracts and processes the data in the spatial database to facilitate later calculation, the analytic hierarchy process module calculates the weight value of the data, and the comprehensive evaluation model is used for comprehensively evaluating the underground space data, so that the underground space data can be comprehensively evaluated. The fuzzy comprehensive evaluation model is used for performing single-factor evaluation on the underground space data, so that single evaluation can be performed on each factor influencing the suitability of the underground space, comprehensive and comprehensive evaluation can be performed on each factor influencing the suitability of the underground space, the suitability of the underground space can be evaluated, and the applicability of the underground space is improved. Therefore, objective and reasonable underground space resource endowment and potential conditions are obtained, and an underground space resource comprehensive development and utilization feasibility evaluation report is formed through a visual tool and is convenient for personnel to check.

Description

Technical Field

[0001] The present invention relates to the technical field of underground space resource utilization, and in particular to an underground space resource utilization suitability evaluation system. Background Art

[0002] Underground space is the space in the rock and soil layers below the surface. Natural resources refer to naturally existing and valuable substances. Therefore, underground space resources can be regarded as a broad natural resource. Underground space resources have the characteristics and properties of natural resources, and underground space resources have their own unique properties. Primitive humans looking for caves to live in can be regarded as the earliest beginning of human utilization of underground space resources. With the development of human civilization and the advancement of science and technology, we have gradually formed a scientific understanding of underground space in the past hundred years. And with the growth of population and the expansion of urban scale, human demand for underground space resources has increased, which has also promoted and promoted the development and utilization of underground space, and updated and improved people's understanding of underground space resources.

[0003] Underground space is a naturally existing natural object. The degree of development of human economic and technological levels is closely related to the utilization value of underground space. The amount of underground space resources that can be developed and utilized is limited. First, it is limited under natural conditions, that is, the space under the surface of the earth where humans live is limited; secondly, the utilization value that can be achieved by human economic and technological levels is limited, that is, the development cost and the maximum depth of development value that can be achieved by economic and technological levels are limited. Obviously, the factor that restricts the current limited amount of underground space resources is human economic and technological levels.

[0004] Underground space resources exist in the Earth's surface zone, below the atmosphere, in the hydrosphere and lithosphere. The resource properties of underground space are affected by the material medium and its environment. Compared with traditional surface land resources, underground space resources have superior quality. The material basis of soil and rock determines many excellent properties of underground space resources.

[0005] Underground space resources are also irreversible in terms of development and utilization. The development and utilization of underground space resources are widely related and difficult to develop and utilize. Once development and utilization are carried out, the material medium basis, local space environment and peripheral space environment characteristics will be changed, making it difficult to restore the original appearance or redevelop and utilize. Therefore, the development and utilization of underground space is irreversible, and it is necessary to conduct a reasonable evaluation of underground space resources in advance before utilization. Summary of the Invention

[0006] The purpose of the present invention is to provide an underground space resource utilization suitability evaluation system, which has the advantage of being able to conduct a reasonable evaluation of underground space resources before utilization, and solves the problems that underground space resources have irreversible development and utilization, underground space resource development and utilization are widely related, and development and utilization are difficult. Once development and utilization are carried out, the material medium basis, local space environment and peripheral space environment characteristics are changed, making it difficult to restore the original appearance or redevelop and utilize.

[0007] To achieve the above-mentioned objectives, the present invention provides the following technical solutions: a system for evaluating the suitability of underground space resource utilization, comprising a spatial database, ArcGIS software, a hierarchical analysis module, a comprehensive evaluation model, a fuzzy comprehensive evaluation model and a visualization tool, wherein the spatial database is used to store the topography, landform and geological data of the underground space, the ArcGIS software is used to extract and process the data in the spatial database, the hierarchical analysis module is used to calculate the weight value of the data, the comprehensive evaluation model is used to comprehensively evaluate the underground space data, the fuzzy comprehensive evaluation model is used to perform single-factor evaluation on the underground space data, and the visualization tool is used to form a feasibility evaluation report on the comprehensive development and utilization of underground space resources.

[0008] Preferably, the spatial database includes a graphic database and an attribute database, the ArcGIS software includes a data import module and a data processing module, and the data processing module includes data buffer analysis, data interpolation analysis, and data normalization processing.

[0009] Preferably, the steps of using the hierarchical analysis module are as follows: A. First, clarify the evaluation target, analyze its influencing factors, and use factor analysis to screen the evaluation indicators to form an evaluation factor set U = {u1, u2, ..., u n};

[0010] B. Construct a judgment matrix with A as the target, u i Indicates the evaluation factor u i ∈U,i=1,2,…,n,get

[0011] C. Using the square root method:

[0012] C1. Calculate the product M of each row of the judgment matrix i , whose formula is

[0013] C2. Calculate M i The nth root of Pair Vector Do normalization, that is W i, then W=(W1,W2,…,W n ) T is the desired eigenvector;

[0014] C3. Calculate the maximum eigenvalue λ of the judgment matrix max , Where (PW) i represents the i-th element of the vector PW,

[0015] D. The obtained eigenvector is the required weight. To consider whether the distribution of weights is reasonable, we need to judge whether

[0016] The matrix is ​​tested for consistency. The test formula is CR = CI / RI. In the formula, CR is the random consistency ratio of the judgment matrix, and CI is called the consistency index of the judgment matrix. It is calculated as follows: RI is called the average random consistency index of the judgment matrix.

[0017] Preferably, the comprehensive evaluation model formula is:

[0018]

[0019] , where S is the comprehensive score of the evaluation grid; i is the ordinal number of the evaluation factor; ai is the value assigned to the suitability level of the i-th evaluation factor in the evaluation grid; wi is the weight value of the i-th evaluation factor, and n is the number of evaluation factors.

[0020] Preferably, the fuzzy comprehensive evaluation matrix of the fuzzy comprehensive evaluation model is: And the fuzzy synthesis formula of the weight vector and the fuzzy comprehensive evaluation matrix is: B=(b1,b2,...b j ) is the maximum membership principle to explain the fuzzy synthesis results.

[0021] Compared with the prior art, the present invention has the following beneficial effects:

[0022] The present invention stores the topography, landform and geological data of the underground space through a spatial database, and the ArcGIS software extracts and processes the data in the spatial database to facilitate subsequent calculations, calculates the weight value of the data through a hierarchical analysis module, and uses a comprehensive evaluation model to comprehensively judge the underground space data, and uses a fuzzy comprehensive evaluation model to perform single-factor judgment on the underground space data, thereby achieving not only a single evaluation of each factor affecting the suitability of the underground space, but also a comprehensive and integrated evaluation of each factor affecting the suitability of the underground space, and evaluating the suitability of the underground space, thereby obtaining an objective and reasonable underground space resource endowment and potential situation, and forming a feasibility evaluation report on the comprehensive development and utilization of underground space resources through visualization tools for easy viewing by personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 Schematic diagram of the system principle of the present invention;

[0024] Figure 2 This is a schematic diagram of the spatial database of the present invention;

[0025] Figure 3 Schematic diagram of ArcGIS software of the present invention. DETAILED DESCRIPTION

[0026] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0027] Example 1

[0028] like Figure 1-3 The first embodiment of the present invention is shown in FIG. 1 , which provides an underground space resource utilization suitability evaluation system.

[0029] It includes spatial database, ArcGIS software, hierarchical analysis module, comprehensive evaluation model, fuzzy comprehensive evaluation model and visualization tools. The spatial database is used to store the terrain, landform and geological data of the underground space. ArcGIS software is used to extract and process the data in the spatial database. The hierarchical analysis module is used to calculate the weight value of the data. The comprehensive evaluation model is used to comprehensively evaluate the underground space data. The fuzzy comprehensive evaluation model is used to perform single-factor evaluation of the underground space data. The visualization tool is used to form a feasibility evaluation report on the comprehensive development and utilization of underground space resources.

[0030] like Figure 1-3 As shown, through

[0031] The spatial database stores the topography, landform and geological data of the underground space for easy later use, and the ArcGIS software extracts and processes the data in the spatial database for easy later calculations. The hierarchical analysis module is used to calculate the weight value of the data, and the comprehensive evaluation model is used to comprehensively evaluate the underground space data. The fuzzy comprehensive evaluation model is used to perform single-factor evaluation of the underground space data, thereby achieving not only a single evaluation of each factor affecting the suitability of underground space, but also a comprehensive and integrated evaluation of each factor affecting the suitability of underground space. The suitability of underground space can be evaluated to obtain an objective and reasonable underground space resource endowment and potential situation, and a feasibility evaluation report on the comprehensive development and utilization of underground space resources is formed through visualization tools for easy viewing by personnel.

[0032] Example 2

[0033] Reference Figure 1 , is the second embodiment of the present invention, and this embodiment is based on the previous embodiment. In this embodiment,

[0034] The spatial database includes a graphic database and an attribute database. The ArcGIS software includes a data import module and a data processing module. The data processing module includes data buffer analysis, data interpolation analysis, and data normalization processing.

[0035] Data buffer analysis: Through buffer analysis, feature data can obtain the coverage of different attribute levels and their spatial overlap relationships. This can be used to handle spatial analysis problems at different levels under complex conditions with multiple factors. For example, buffer analysis of road and river features can obtain the influence range and various boundary issues of linear features such as roads and rivers.

[0036] Data interpolation analysis: Point data is imported and interpolated to obtain surface data. Surface data reflects the distribution characteristics and patterns of geological data attributes in geographic space. For example, terrain elevation points are interpolated to obtain an elevation grid on the surface of the study area, which can reflect the changing trend of elevation information in geographic space.

[0037] Normalization processing: For many quantitative and semi-quantitative data, the interval values ​​are scaled between 0 and 1 through data calculation, and the data boundaries of each indicator factor are unified to normalize the data.

[0038] The steps of using the hierarchical analysis module are as follows: A. First, clarify the evaluation target, analyze its influencing factors, use factor analysis to screen the evaluation indicators, and form the evaluation factor set U = {u1, u2, ..., u n};

[0039] B. Construct a judgment matrix with A as the target, u i Indicates the evaluation factor ui ∈U,i=1,2,…,n,u ij Representation factor u i For factor u j The relative importance value of u ij The scale of the value judgment matrix and its meaning are shown in the following table:

[0040]

[0041]

[0042] In this way, we can obtain the A-U judgment matrix:

[0043] C. Using the square root method:

[0044] C1. Calculate the product M of each row of the judgment matrix i , whose formula is

[0045] C2. Calculate M i The nth root of Pair Vector Do normalization, that is W i , then W=(W1,W2,…,W n ) T is the desired eigenvector;

[0046] C3. Calculate the maximum eigenvalue λ of the judgment matrix max , Where (PW) i represents the i-th element of the vector PW,

[0047] D. The obtained eigenvector is the required weight. To consider whether the distribution of weights is reasonable, it is necessary to perform a consistency test on the judgment matrix. The test formula is CR = CI / RI, where CR is the random consistency ratio of the judgment matrix and CI is called the consistency index of the judgment matrix. It is calculated as follows: RI is called the average random consistency index of the judgment matrix;

[0048] For the 1-9 order judgment matrix, the RI values ​​are as follows:

[0049]

[0050] Example 3

[0051] Reference Figure 1, which is the third embodiment of the present invention, is based on the first two embodiments.

[0052] In this embodiment, the comprehensive evaluation model formula is:

[0053]

[0054] Where S is the comprehensive score of the evaluation grid; i is the ordinal number of the evaluation factor; ai is the value assigned to the suitability level of the i-th evaluation factor in the evaluation grid; wi is the weight value of the i-th evaluation factor, and n is the number of evaluation factors.

[0055] The fuzzy comprehensive evaluation matrix of the fuzzy comprehensive evaluation model is: And the fuzzy synthesis formula of the weight vector and the fuzzy comprehensive evaluation matrix is: B=(b1,b2,...b j ) is the maximum membership principle to explain the fuzzy synthesis results.

[0056] An underground space resource utilization suitability evaluation system is used. First, the data in the spatial database is exported through ArcGIS software. Then, the data processing module performs data buffer analysis, data interpolation analysis and normalization processing on the data. Then, the hierarchical analysis module is used to calculate the data weight value. By clarifying the evaluation target and analyzing its influencing factors, the factor analysis method is used to screen the evaluation indicators to form an evaluation factor set U = {u1, u2, ..., u n}, then construct the judgment matrix with A as the target, u i Indicates the evaluation factor u i ∈U, i=1, 2, ..., n, and thus obtain the A-U judgment matrix: Then use the square root method to first calculate the product M of each row of the judgment matrix i , whose formula is Then calculate M i The nth root of Pair Vector Do normalization, that is Then W=(W1,W2,…,W n ) T is the desired eigenvector; then calculate the maximum eigenvalue λ of the judgment matrix max , Where (PW) i represents the i-th element of the vector PW, Then the obtained eigenvector is the required weight. To consider whether the distribution of weights is reasonable, it is necessary to perform a consistency test on the judgment matrix. The test formula is CR = CI / RI, where CR is the random consistency ratio of the judgment matrix and CI is called the consistency index of the judgment matrix, which is calculated as follows: That is, RI is called the average random consistency index of the judgment matrix, and then it is evaluated again through the comprehensive evaluation model. The evaluation formula is:

[0057]

[0058] Where S is the comprehensive score of the evaluation grid; i is the ordinal number of the evaluation factor; ai is the value assigned to the suitability level of the i-th evaluation factor in the evaluation grid; wi is the weight value of the i-th evaluation factor, and n is the number of evaluation factors. At the same time, the fuzzy comprehensive evaluation matrix of the fuzzy comprehensive evaluation model is: And the fuzzy synthesis formula of the weight vector and the fuzzy comprehensive evaluation matrix is: B=(b1,b2,...b j ) is the maximum membership principle to explain the fuzzy synthesis results, if b i0 =max{b i}, 1≤i≤m, then the evaluation result is determined as

[0059] At level i0, a feasibility evaluation report on the comprehensive development and utilization of underground space resources is generated through visualization tools to facilitate personnel review.

[0060] The standard parts used in this application document can all be purchased from the market, and can be customized according to the description in the specification and drawings. The specific connection methods of each part adopt conventional means such as mature bolts, rivets, welding, etc. in the existing technology. The machinery, parts and equipment all adopt conventional models in the existing technology. The control method is automatic control through a controller. The control circuit of the controller can be implemented by simple programming by technicians in this field, which is common knowledge in this field. In addition, this application is mainly used to protect mechanical devices, so this application no longer explains the control method and circuit connection in detail.

[0061] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply the existence of any such actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or device comprising the element.

[0062] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. An underground space resource utilization suitability evaluation system, comprising a spatial database, ArcGIS software, a hierarchical analysis module, a comprehensive evaluation model, a fuzzy comprehensive evaluation model, and a visualization tool, characterized by: The spatial database is used to store the topography, landform and geological data of the underground space, the ArcGIS software is used to extract and process the data in the spatial database, the hierarchical analysis module is used to calculate the weight value of the data, the comprehensive evaluation model is used to comprehensively evaluate the underground space data, the fuzzy comprehensive evaluation model is used to perform single-factor evaluation of the underground space data, and the visualization tool is used to form a feasibility evaluation report on the comprehensive development and utilization of underground space resources.

2. The underground space resource utilization suitability evaluation system according to claim 1, characterized in that: The spatial database includes a graphic database and an attribute database, and the ArcGIS software includes a data import module and a data processing module, and the data processing module includes data buffer analysis, data interpolation analysis, and data normalization processing.

3. The underground space resource utilization suitability evaluation system according to claim 1, characterized in that: The steps of using the hierarchical analysis module are as follows: A. First, clarify the evaluation target, analyze its influencing factors, and use factor analysis to screen the evaluation indicators to form the evaluation factor set U = {u1, u2, ..., u n }; B. Construct a judgment matrix with A as the target, u i Indicates the evaluation factor u i ∈U, i=1, 2, ..., n, obtain C. Using the square root method: C1. Calculate the product M of each row of the judgment matrix i , whose formula is C2. Calculate M i The nth root of Pair Vector Do normalization, that is Then W=(W1,W2,…,W n ) T is the desired eigenvector; C3. Calculate the maximum eigenvalue λ of the judgment matrix max , Where (PW) i represents the i-th element of the vector PW, D. The obtained eigenvector is the required weight. To consider whether the distribution of weights is reasonable, we need to judge whether The matrix is ​​tested for consistency. The test formula is CR = CI / RI. In the formula, CR is the random consistency ratio of the judgment matrix, and CI is called the consistency index of the judgment matrix. It is calculated as follows: RI is called the average random consistency index of the judgment matrix.

4. The underground space resource utilization suitability evaluation system according to claim 1, characterized in that: The comprehensive evaluation model formula is: Where S is the comprehensive score of the evaluation grid; i is the ordinal number of the evaluation factor; ai is the value assigned to the suitability level of the i-th evaluation factor in the evaluation grid; wi is the weight value of the i-th evaluation factor, and n is the number of evaluation factors.

5. The underground space resource utilization suitability evaluation system according to claim 1, characterized in that: The fuzzy comprehensive evaluation matrix of the fuzzy comprehensive evaluation model is: And the fuzzy synthesis formula of the weight vector and the fuzzy comprehensive evaluation matrix is: B=(b1,b2,……,b j ) is the maximum membership principle to explain the fuzzy synthesis results.

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