Method and system for evaluating suitability of photovoltaic power station construction in coal mining subsidence area

Abstract

The invention discloses a suitability evaluation method and system for constructing a photovoltaic power station in a coal mining subsidence area. The method comprises the following steps: acquiring infrared data, remote sensing data and geological data of the coal mining subsidence area; determining a surface subsidence rate and a surface deformation value based on the geological data, and judging whether the initial suitability meets requirements or not based on the surface subsidence rate and the surface deformation value; if yes, dividing the coal mining subsidence area into a plurality of coal mining subsidence units; establishing an analytic hierarchy model, and determining an initial weight of each evaluation index in each coal mining subsidence unit; constructing a state variable weight vector of each evaluation index based on the initial weight, and determining a target weight; determining a suitability evaluation value of each coal mining subsidence unit based on each evaluation index and each corresponding target weight; and clustering the plurality of coal mining subsidence units based on the suitability evaluation value to obtain a photovoltaic power station construction suitability evaluation result. According to the method, the evaluation efficiency and accuracy of the suitability of constructing the photovoltaic power station in the coal mining subsidence area can be improved.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic power station construction, and in particular to a method and system for evaluating the suitability of photovoltaic power stations for construction in coal mining subsidence areas. Background Art

[0002] Coal mining often causes surface subsidence. Building photovoltaic power generation projects in surface subsidence areas is the main means of utilizing coal mining subsidence areas. Technical evaluation of whether coal mining subsidence areas are suitable for building photovoltaic power stations is one of the most important basic technical tasks for surface construction in coal mining subsidence areas, providing a scientific basis for the construction of photovoltaic power stations.

[0003] The suitability assessment of photovoltaic power stations in coal mining subsidence areas is a very complex issue, with many influencing factors, such as geological structure, photovoltaic potential, etc. In the suitability assessment process of photovoltaic power stations in coal mining subsidence areas, most of the evaluations are done by manual calculations combined with empirical values ​​to evaluate the suitability of the construction. Some auxiliary tools may be used for calculation and deduction during the calculation process, but in the face of a large number of mathematical calculations, the work efficiency is low and the evaluation results have large errors.

[0004] Therefore, there is an urgent need to provide a suitability assessment scheme for building photovoltaic power stations in coal mining subsidence areas to improve the assessment efficiency and accuracy of the suitability of building photovoltaic power stations in coal mining subsidence areas. Summary of the invention

[0005] The present invention aims to solve the technical problems in the related art at least to a certain extent. To this end, the first object of the present invention is to provide a method for evaluating the suitability of building a photovoltaic power station in a coal mining subsidence area, which can improve the evaluation efficiency and accuracy of the suitability of building a photovoltaic power station in a coal mining subsidence area.

[0006] The second object of the present invention is to provide a system for evaluating the suitability of building a photovoltaic power station in a coal mining subsidence area.

[0007] To achieve the above object, the present invention is implemented through the following technical solutions: A method for evaluating the suitability of building a photovoltaic power station in a coal mining subsidence area includes: Obtain infrared data, remote sensing data and geological data of coal mining subsidence areas; Determine the surface subsidence rate and surface deformation value of the coal mining subsidence area based on the geological data, and judge whether the initial suitability of constructing a photovoltaic power station in the coal mining subsidence area meets the requirements based on the surface subsidence rate and the surface deformation value; If yes, dividing the coal mining subsidence area into a plurality of coal mining subsidence units; Establishing a hierarchical analysis model based on the infrared data, remote sensing data and geological data, and determining the initial weight of each evaluation index in each coal mining subsidence unit based on the hierarchical analysis model, wherein the evaluation index is an index for evaluating the suitability of building a photovoltaic power station in a coal mining subsidence unit; Constructing a state variable weight vector of each evaluation indicator based on the initial weight of each evaluation indicator, and determining a target weight of each evaluation indicator based on the state variable weight vector and the initial weight of each evaluation indicator; Determine the suitability assessment value of each coal mining subsidence unit based on each evaluation index and the corresponding target weight; Based on the suitability assessment value of each coal mining subsidence unit, a plurality of the coal mining subsidence units are clustered to obtain a suitability assessment result for photovoltaic power station construction.

[0008] In a possible implementation, the geological data includes an average mining depth, an average mining speed, a main influence angle, a maximum sinking speed angle and a coal seam inclination angle of a coal mining subsidence area.

[0009] In a possible implementation, the ground surface deformation value includes a ground surface maximum inclination value, a ground surface maximum horizontal deformation value, and a ground surface maximum curvature value.

[0010] In a possible implementation, judging whether the initial suitability of constructing a photovoltaic power station in a coal mining subsidence area meets the requirements based on the surface subsidence rate and the surface deformation value includes: Obtain the appropriate range of subsidence rate and surface deformation; Determining whether the surface subsidence rate is within the appropriate range of the subsidence rate, and whether the surface deformation value is within the appropriate range of the surface deformation; When the surface subsidence rate is within the suitable range of the subsidence rate, and the surface deformation value is within the suitable range of the surface deformation, it is determined that the initial suitability of constructing a photovoltaic power station in the coal mining subsidence area meets the requirements.

[0011] In a possible implementation, the evaluation index includes at least surface deformation rate, terrain slope, distance from the power demand center, photovoltaic energy potential and soil and water stability.

[0012] In a possible implementation, determining the initial weight of each evaluation index in each coal mining subsidence unit based on the hierarchical analysis model includes: Obtain the expert scores of each evaluation index, and construct a triangular fuzzy number complementary judgment matrix based on the fuzzy scaling method and the expert scores; Fuzzifying the triangular fuzzy number complementary judgment matrix based on the triangular expectation function to obtain a fuzzy reciprocal judgment matrix; Performing consistency check on the fuzzy reciprocal judgment matrix; When the consistency check passes, the weight vector of each evaluation indicator is determined based on the triangular fuzzy number formula and the fuzzy reciprocal judgment matrix, so as to determine the initial weight of each evaluation indicator according to the weight vector of each evaluation indicator.

[0013] In a possible implementation, constructing a state variable weight vector of each evaluation indicator based on the initial weight of each evaluation indicator includes: Determine the variable weight interval critical value of each evaluation indicator based on the initial weight of each evaluation indicator; Determine the variable weight threshold of each evaluation indicator based on the variable weight interval critical value of each evaluation indicator; Determining a plurality of variable weight threshold intervals for each evaluation indicator based on the variable weight threshold of each evaluation indicator; The state variable weight vector of each evaluation indicator is constructed based on the multiple variable weight threshold intervals of each evaluation indicator.

[0014] In a possible implementation, the state variable weight vector is expressed as follows:

[0015] The target weight is expressed as follows:

[0016] in, For the The state variable weight vector of the evaluation index, is a natural constant, to Respectively The variable weight thresholds of the penalty interval and the no-incentive-no-punishment interval of the evaluation indicators, the variable weight thresholds of the no-incentive-no-punishment interval and the weak incentive interval, and the variable weight thresholds of the weak incentive interval and the strong incentive interval. For the Evaluation index value, For the The target weight of the evaluation index is For the The initial weights of the evaluation indicators, is the summation function, is the total number of evaluation indicators.

[0017] In a possible implementation, clustering the plurality of coal mining subsidence units based on the suitability assessment value of each coal mining subsidence unit to obtain a photovoltaic power station construction suitability assessment result includes: Determine the difference in suitability assessment values ​​of each coal mining subsidence unit, cluster the coal mining subsidence units whose suitability assessment value differences are less than a preset difference, and obtain multiple coal mining subsidence unit groups; Obtain the average suitability assessment value of each coal mining subsidence unit group; Determine at least one candidate coal mining subsidence unit group whose average suitability evaluation value is greater than a preset evaluation value; At least one candidate coal mining subsidence unit group whose surface area is greater than an area threshold is selected as a location for a photovoltaic power station to be constructed.

[0018] To achieve the above-mentioned purpose, the second aspect of the present invention provides a system for evaluating the suitability of building a photovoltaic power station in a coal mining subsidence area, comprising: Data acquisition module, used to obtain infrared data, remote sensing data and geological data of coal mining subsidence areas; An initial suitability judgment module is used to determine the surface subsidence rate and surface deformation value of the coal mining subsidence area based on the geological data, and judge whether the initial suitability of constructing a photovoltaic power station in the coal mining subsidence area meets the requirements based on the surface subsidence rate and the surface deformation value; A region division module, used for dividing the coal mining subsidence area into a plurality of coal mining subsidence units when the initial suitability meets the requirements; A first determination module is used to establish a hierarchical analysis model based on the infrared data, remote sensing data and geological data, and determine the initial weight of each evaluation index in each coal mining subsidence unit based on the hierarchical analysis model, wherein the evaluation index is an index used to evaluate the suitability of the coal mining subsidence unit to build a photovoltaic power station; A second determination module is used to construct a state-variable weight vector of each evaluation indicator based on the initial weight of each evaluation indicator, and determine a target weight of each evaluation indicator based on the state-variable weight vector and the initial weight of each evaluation indicator; The third determination module is used to determine the suitability evaluation value of each coal mining subsidence unit based on each evaluation index and each corresponding target weight; The fourth determination module is used to cluster the multiple coal mining subsidence units based on the suitability assessment value of each coal mining subsidence unit to obtain a suitability assessment result for photovoltaic power station construction.

[0019] The present invention has at least the following technical effects: The method for assessing the suitability of building a photovoltaic power station in a coal mining subsidence area provided by the present invention obtains multi-source data including infrared data, remote sensing data and geological data, and assesses the suitability of building a photovoltaic power station in the coal mining area based on the multi-source data, thereby improving the dimensional diversity of parameters and further improving the accuracy of the suitability assessment for building a photovoltaic power station.

[0020] Furthermore, the present invention first determines the surface subsidence rate and the surface deformation value, and judges the initial suitability of the coal mining subsidence area based on these two parameters. The judgment method and process are simple. If it is not suitable, there is no need to execute the subsequent weight determination steps. If it is suitable, the weight is determined again, avoiding redundant weight determination processes and improving the efficiency of the evaluation.

[0021] Furthermore, the present invention optimizes the initial weights by constructing a state variable weight vector to obtain the target weights, so that the target weights can be adjusted according to the actual conditions of the coal mining subsidence area, thereby improving the adaptability of the target weights to the coal mining subsidence area and further improving the accuracy of the evaluation.

[0022] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 A schematic flow chart of an embodiment of a method for assessing suitability of building a photovoltaic power station in a coal mining subsidence area provided by the present invention.

[0024] Figure 2 A schematic flow chart of an embodiment of the present invention for determining whether the initial suitability of a coal mining subsidence area meets the requirements.

[0025] Figure 3 A schematic diagram of a flow chart of an embodiment of determining initial weights provided by the present invention.

[0026] Figure 4 A schematic diagram of a flow chart of an embodiment of constructing a state variable weight vector provided by the present invention.

[0027] Figure 5 A schematic diagram of a flow chart of an embodiment of obtaining a photovoltaic power station construction suitability assessment result provided by the present invention.

[0028] Figure 6 A schematic structural diagram of an embodiment of a system for evaluating the suitability of photovoltaic power stations for construction in coal mining subsidence areas provided by the present invention. DETAILED DESCRIPTION

[0029] The present embodiment is described in detail below, and examples of the embodiment are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0030] The following describes the suitability assessment method and system for building a photovoltaic power station in a coal mining subsidence area according to the present embodiment with reference to the accompanying drawings.

[0031] Figure 1 This is a flow chart of an embodiment of the method for evaluating the suitability of building a photovoltaic power station in a coal mining subsidence area provided by the present invention. Figure 1 As shown in the figure, the suitability assessment methods for building photovoltaic power stations in coal mining subsidence areas include: S101. Obtain infrared data, remote sensing data and geological data of coal mining subsidence areas.

[0032] S102. Determine the surface subsidence rate and surface deformation value of the coal mining subsidence area based on geological data, and judge whether the initial suitability of constructing a photovoltaic power station in the coal mining subsidence area meets the requirements based on the surface subsidence rate and surface deformation value.

[0033] S103. If yes, the coal mining subsidence area is divided into a plurality of coal mining subsidence units.

[0034] S104. Establish a hierarchical analysis model based on infrared data, remote sensing data and geological data, and determine the initial weight of each evaluation index in each coal mining subsidence unit based on the hierarchical analysis model, wherein the evaluation index is an index used to evaluate the suitability of the coal mining subsidence unit to construct a photovoltaic power station.

[0035] S105 , constructing a state variable weight vector of each evaluation indicator based on the initial weight of each evaluation indicator, and determining a target weight of each evaluation indicator based on the state variable weight vector and the initial weight of each evaluation indicator.

[0036] S106. Determine the suitability assessment value of each coal mining subsidence unit based on each evaluation index and the corresponding target weight.

[0037] S107. Clustering multiple coal mining subsidence units based on the suitability assessment value of each coal mining subsidence unit to obtain a suitability assessment result for photovoltaic power station construction.

[0038] It should be noted that the infrared data includes an isotherm map of the coal mining subsidence area. The isotherm map includes multiple infrared data corresponding to multiple pixels, and the infrared data value corresponding to each pixel represents the temperature of the corresponding position. Different terrains will cause different absorption of sunlight, which will lead to temperature differences in the coal mining subsidence area. In this embodiment, the defect that the terrain temperature is not included in the remote sensing image can be compensated by obtaining infrared data, thereby improving the diversity of coal mining subsidence area data.

[0039] Specifically, during the day, the hillside receives more solar heat, becoming a small heating furnace, and the air warms up more; while the air at the same height above the valley is farther from the ground, so it warms up less. As a result, the warm air on the hillside continues to rise and flows from the hillside to the valley at the upper level, while the air at the bottom of the valley flows along the hillside to the top of the mountain, thus forming a temperature gradient between the hillside and the valley. This temperature difference can be used to identify the mountain terrain by observing the isotherm diagram.

[0040] Remote sensing data include land types, subsidence area and other data. Land types include cultivated land, coal piles, vegetation-covered areas, water bodies and wasteland.

[0041] The geological data include the average mining depth, average mining speed, main impact angle, maximum sinking speed angle and coal seam inclination of the coal mining subsidence area.

[0042] Compared with the prior art, the method for assessing the suitability of building a photovoltaic power station in a coal mining subsidence area provided by an embodiment of the present invention obtains multi-source data including infrared data, remote sensing data and geological data, and assesses the suitability of building a photovoltaic power station in the coal mining area based on the multi-source data, thereby improving the dimensional diversity of parameters and further improving the accuracy of the suitability assessment for building a photovoltaic power station.

[0043] Furthermore, the embodiment of the present invention first determines the surface subsidence rate and the surface deformation value, and judges the initial suitability of the coal mining subsidence area based on these two parameters. The judgment method and process are simple. If it is not suitable, there is no need to execute the subsequent weight determination steps. If it is suitable, the weight is determined again, avoiding redundant weight determination processes and improving the efficiency of the evaluation.

[0044] In some embodiments of the present invention, the surface subsidence rate is: (1) (2) (3) in, is the surface subsidence rate, For the current moment, A parameter that characterizes the intensity of surface movement. is the maximum subsidence of the ground surface, is the moment when the surface subsidence reaches half of the maximum subsidence. is the average mining depth in the coal mining subsidence area, is the main influencing angle, is the maximum sinking velocity angle, is the tangent function, is the average mining speed in the coal mining subsidence area, is the sinking coefficient.

[0045] In some embodiments of the present invention, the ground surface deformation value includes a ground surface maximum inclination value, a ground surface maximum horizontal deformation value, and a ground surface maximum curvature value.

[0046] The maximum surface inclination is: (4) The maximum horizontal deformation of the ground surface is: (5) The maximum curvature of the surface is: (6) in, is the maximum surface inclination value, is the cosine function, is the coal seam inclination, is the average mining thickness in the coal mining subsidence area, is the maximum horizontal deformation of the ground surface, is the horizontal shift coefficient, is the maximum curvature of the surface.

[0047] The embodiment of the present invention characterizes the surface deformation value from multiple dimensions by setting the surface deformation value to include the maximum surface inclination value, the maximum surface horizontal deformation value and the maximum surface curvature value, thereby improving the accuracy of the surface deformation value and further improving the accuracy of the initial suitability judgment for building a photovoltaic power station.

[0048] In some embodiments of the present invention, Figure 2 As shown, step S102 determines whether the initial suitability of building a photovoltaic power station in a coal mining subsidence area meets the requirements based on the surface subsidence rate and the surface deformation value, including: S201. Obtain an appropriate range of subsidence rate and an appropriate range of surface deformation.

[0049] S202: Determine whether the surface subsidence rate is within an appropriate range of the subsidence rate and whether the surface deformation value is within an appropriate range of the surface deformation.

[0050] S203. When the surface subsidence rate is within the appropriate range of subsidence rate and the surface deformation value is within the appropriate range of surface deformation, it is determined that the initial suitability of constructing a photovoltaic power station in the coal mining subsidence area meets the requirements.

[0051] It should be understood that when either the surface subsidence rate or the surface deformation value is not within the corresponding suitable range, the initial suitability of constructing a photovoltaic power station in the coal mining subsidence area does not meet the requirements.

[0052] The surface deformation value being within the suitable range of surface deformation means that the maximum surface inclination value, the maximum surface horizontal deformation value, and the maximum surface curvature value are all within their respective suitable ranges.

[0053] It should be noted that the suitable range of subsidence rate and the suitable range of surface deformation can be set or adjusted according to the actual application scenario and are not specifically limited here.

[0054] Furthermore, when determining that the initial suitability of constructing a photovoltaic power station in a coal mining subsidence area meets the requirements, the coal mining subsidence area can be divided into multiple coal mining subsidence units, and as described in step S104, a hierarchical analysis model can be established based on infrared data, remote sensing data and geological data, so as to determine the initial weight of each evaluation indicator in each coal mining subsidence unit based on the hierarchical analysis model.

[0055] The hierarchical analysis model in step S104 refers to a structural model with a target layer, a criterion layer and an indicator layer as the structure. Specifically, the target layer is the suitability evaluation value; the criterion layer is the geological conditions, external influence conditions, industrial characteristics of the goaf, etc., and the criterion layer is composed of multiple evaluation indicators.

[0056] To achieve a comprehensive assessment of suitability, in some embodiments of the present invention, the evaluation indicators include at least surface deformation rate, terrain slope, distance from the power demand center, photovoltaic energy potential and soil and water stability.

[0057] Among them, the above-mentioned evaluation indicators are first-level indicators, and lower-level and detailed second-level indicators can be set as needed. Each first-level indicator can include multiple second-level indicators, which will not be described in detail here.

[0058] Among them, photovoltaic energy potential refers to the total radiation value of the coal mining subsidence area, which is related to parameters such as latitude and slope. Soil and water stability refers to the geological stability of the coal mining subsidence area, which is related to parameters such as slope, cohesion, and internal friction angle. The distance to the power demand center refers to the distance from the equipment using photovoltaic power generation, which is used to characterize the economic benefits of photovoltaic power stations.

[0059] In some embodiments of the present invention, Figure 3 As shown, the initial weight of each evaluation index in each coal mining subsidence unit is determined based on the hierarchical analysis model in step S104, including: S301, obtaining expert scores of each evaluation index, and constructing a triangular fuzzy number complementary judgment matrix based on the fuzzy scaling method and the expert scores.

[0060] S302, fuzzifying the triangular fuzzy number complementary judgment matrix based on the triangular expectation function to obtain a fuzzy reciprocal judgment matrix.

[0061] S303: Perform consistency check on the fuzzy reciprocal judgment matrix.

[0062] S304: When the consistency check passes, a weight vector of each evaluation indicator is determined based on a triangular fuzzy number formula and a fuzzy reciprocal judgment matrix, so as to determine an initial weight of each evaluation indicator according to the weight vector of each evaluation indicator.

[0063] Among them, the fuzzy scaling method is shown in Table 1: Table 1 Schematic diagram of fuzzy scaling method

[0064] Among them, the elements in Table 1 refer to evaluation indicators. For evaluation indicators Elements and evaluation indicators Elements The scale value of For evaluation indicators and evaluation indicators The scale value of .

[0065] In this embodiment, the importance of each evaluation indicator can be determined based on the expert score of each evaluation indicator, and then the triangular fuzzy number complementary judgment matrix can be constructed using the scale value obtained by the fuzzy scaling method.

[0066] After the scale value is obtained, fuzzification processing can be performed based on the triangular expectation function, thereby realizing the fuzzification processing of the triangular fuzzy number complementary judgment matrix through the triangular expectation function, and then obtaining the fuzzy reciprocal judgment matrix.

[0067] Specifically, we can use triangular fuzzy numbers express .in, is the lower bound of triangular fuzzy numbers, is the upper bound of triangular fuzzy numbers, is the most likely triangular fuzzy number.

[0068] The trigonometric expectation function used is expressed as follows: (7) in, is the trigonometric expectation function, is the fuzzification coefficient, which is related to the decision maker’s willingness to take risk index.

[0069] In this embodiment, step S303 is specifically as follows: First, the hierarchical single-order consistency check is performed on the fuzzy reciprocal judgment matrix. When the check passes, the hierarchical total order is checked for consistency. Only when the check passes does it mean that the final consistency check has passed.

[0070] It should be understood that the hierarchical single-sort consistency check is to determine whether the hierarchical single-sort consistency check index is less than 0.1.

[0071] (8) (9) in, is the hierarchical single sorting consistency check indicator, is a single sorting consistency indicator, is the average random consistency index, is the maximum eigenvalue in the fuzzy reciprocal judgment matrix, is the matrix order.

[0072] When the consistency check index of the hierarchical single sorting is less than 0.1, it means that the consistency check of the hierarchical single sorting is passed, and the consistency check of the hierarchical total sorting is further performed. If the consistency check index of the hierarchical total sorting is less than the corresponding threshold, the consistency check of the fuzzy reciprocal judgment matrix is ​​passed.

[0073] The consistency check index of the hierarchical total sorting is: (10) in, is the consistency check index of the total hierarchical sorting, is the summation function, is the total number of evaluation indicators, For the The hierarchical single ranking weight corresponding to the evaluation index is Relative The consistency index of a single ranking of evaluation indicators, Relative The average random consistency index of a single ranking of evaluation indicators.

[0074] After the consistency check is passed, the following triangular fuzzy number formula can be used to calculate the first The weight vector of the evaluation index is obtained The initial weight of the evaluation index, The calculation process of the initial weight of the evaluation index is: (11) (12) in, For the The weight vector of the evaluation index, , , They are triangular fuzzy numbers , and The corresponding weights, For the The initial weight of the evaluation index.

[0075] In some embodiments of the present invention, Figure 4 As shown, the state variable weight vector of each evaluation indicator is constructed based on the initial weight of each evaluation indicator in step S105, including: S401. Determine a critical value of a variable weight interval of each evaluation indicator based on an initial weight of each evaluation indicator.

[0076] S402: Determine a variable weight threshold of each evaluation indicator based on a variable weight interval critical value of each evaluation indicator.

[0077] S403: Determine multiple variable weight threshold intervals for each evaluation indicator based on the variable weight threshold of each evaluation indicator.

[0078] S404: construct a state variable weight vector of each evaluation indicator based on multiple variable weight threshold intervals of each evaluation indicator.

[0079] It should be noted that the variable weight threshold interval in step S403 includes a penalty interval, a no-incentive and no-penalty interval, a weak incentive interval and a strong incentive interval.

[0080] The embodiment of the present invention can achieve refined adjustment of the initial weight by setting multiple variable weight threshold intervals, so that the state variable weight vector is more in line with the actual situation of the coal mining subsidence area, thereby further improving the accuracy of the target weight.

[0081] In a specific embodiment of the present invention, the state variable weight vector is expressed as follows: (13) The target weight is expressed as follows: (14) in, For the The state variable weight vector of the evaluation index, is a natural constant, to Respectively The variable weight thresholds of the penalty interval and the no-incentive-no-punishment interval of the evaluation indicators, the variable weight thresholds of the no-incentive-no-punishment interval and the weak incentive interval, and the variable weight thresholds of the weak incentive interval and the strong incentive interval. For the Evaluation index value, For the The target weight of each evaluation indicator.

[0082] In this embodiment, to They are respectively expressed as follows: (15) in, to They are the first to sixth criteria layers. The critical value of the variable weight interval of the evaluation index.

[0083] It should be noted that the suitability evaluation value in step S106 is the weighted sum of the target weight and the evaluation index.

[0084] In some embodiments of the present invention, Figure 5 As shown, step S107 includes: S501. Determine the difference in suitability assessment values ​​of each coal mining subsidence unit, cluster the coal mining subsidence units whose suitability assessment value differences are less than a preset difference, and obtain multiple coal mining subsidence unit groups.

[0085] S502. Obtain the average suitability assessment value of each coal mining subsidence unit group.

[0086] S503. Determine at least one candidate coal mining subsidence unit group whose average suitability evaluation value is greater than a preset evaluation value.

[0087] S504. Use at least one candidate coal mining subsidence unit group whose surface area is greater than an area threshold as a location for a photovoltaic power station to be constructed.

[0088] The embodiment of the present invention determines the surface area when determining the location of the photovoltaic power station to be constructed, which can ensure that the area of ​​the location of the photovoltaic power station to be constructed is large, so as to ensure that the electricity of the photovoltaic power station to be constructed subsequently is sufficient, thereby improving the economic benefits of the photovoltaic power station.

[0089] When clustering is performed in step S501, the coal mining subsidence units in each coal mining subsidence unit group must be connected.

[0090] In order to better implement the suitability assessment method for constructing a photovoltaic power station in a coal mining subsidence area in the embodiment of the present invention, based on the suitability assessment method for constructing a photovoltaic power station in a coal mining subsidence area, the embodiment of the present invention also provides a suitability assessment system for constructing a photovoltaic power station in a coal mining subsidence area.

[0091] like Figure 6 As shown, the suitability assessment system 600 for constructing a photovoltaic power station in a coal mining subsidence area includes a data acquisition module 601, an initial suitability judgment module 602, an area division module 603, a first determination module 604, a second determination module 605, a third determination module 606 and a fourth determination module 607 connected in sequence, wherein the first determination module 604 is also connected to the data acquisition module 601.

[0092] In this embodiment, the data acquisition module 601 is used to acquire infrared data, remote sensing data and geological data of the coal mining subsidence area; the initial suitability judgment module 602 is used to determine the surface subsidence rate and surface deformation value of the coal mining subsidence area based on the geological data, and judge whether the initial suitability of building a photovoltaic power station in the coal mining subsidence area meets the requirements based on the surface subsidence rate and surface deformation value; the area division module 603 is used to divide the coal mining subsidence area into multiple coal mining subsidence units when the initial suitability meets the requirements; the first determination module 604 is used to establish a hierarchical analysis model based on the infrared data, remote sensing data and geological data, and determine each coal mining subsidence unit based on the hierarchical analysis model. The initial weight of each evaluation index in the determination module 605 is used to evaluate the suitability of the coal mining subsidence unit for constructing a photovoltaic power station; the second determination module 605 is used to construct a state variable weight vector of each evaluation index based on the initial weight of each evaluation index, and determine the target weight of each evaluation index based on the state variable weight vector and the initial weight of each evaluation index; the third determination module 606 is used to determine the suitability evaluation value of each coal mining subsidence unit based on each evaluation index and the corresponding target weight; the fourth determination module 607 is used to cluster multiple coal mining subsidence units based on the suitability evaluation value of each coal mining subsidence unit to obtain the suitability evaluation result of the photovoltaic power station construction.

[0093] In some embodiments of the present invention, the geological data includes an average mining depth, an average mining speed, a main influence angle, a maximum sinking speed angle and a coal seam inclination angle of a coal mining subsidence area.

[0094] In some embodiments of the present invention, the ground surface deformation value includes a ground surface maximum inclination value, a ground surface maximum horizontal deformation value, and a ground surface maximum curvature value.

[0095] In some embodiments of the present invention, the initial suitability judgment module 602 judges whether the initial suitability of building a photovoltaic power station in a coal mining subsidence area meets the requirements based on the surface subsidence rate and the surface deformation value, and is specifically used to: Obtain the suitable range of subsidence rate and the suitable range of surface deformation; determine whether the surface subsidence rate is within the suitable range of subsidence rate, and whether the surface deformation value is within the suitable range of surface deformation; when the surface subsidence rate is within the suitable range of subsidence rate, and the surface deformation value is within the suitable range of surface deformation, determine that the initial suitability of constructing a photovoltaic power station in the coal mining subsidence area meets the requirements.

[0096] In some embodiments of the present invention, the evaluation index includes at least the rate of surface deformation, the slope of the terrain, the distance from the power demand center, the photovoltaic energy potential and the water and soil stability.

[0097] In some embodiments of the present invention, when the first determination module 604 determines the initial weight of each evaluation index in each coal mining subsidence unit based on the hierarchical analysis model, it is specifically used to: The expert score value of each evaluation index is obtained, and a triangular fuzzy number complementary judgment matrix is ​​constructed based on the fuzzy scaling method and the expert score values; the triangular fuzzy number complementary judgment matrix is ​​fuzzified based on the triangular expectation function to obtain a fuzzy reciprocal judgment matrix; the fuzzy reciprocal judgment matrix is ​​subjected to consistency check; when the consistency check passes, the weight vector of each evaluation index is determined based on the triangular fuzzy number formula and the fuzzy reciprocal judgment matrix, so as to determine the initial weight of each evaluation index according to the weight vector of each evaluation index.

[0098] In some embodiments of the present invention, when the second determination module 605 constructs the state variable weight vector of each evaluation indicator based on the initial weight of each evaluation indicator, it is specifically used to: Determine the critical value of the variable weight interval of each evaluation indicator based on the initial weight of each evaluation indicator; Determine the variable weight threshold of each evaluation indicator based on the variable weight interval critical value of each evaluation indicator; Based on the variable weight threshold of each evaluation indicator, multiple variable weight threshold intervals of each evaluation indicator are determined; based on the multiple variable weight threshold intervals of each evaluation indicator, a state variable weight vector of each evaluation indicator is constructed.

[0099] In some embodiments of the present invention, the state variable weight vector and the target weight are respectively shown in the above formula (13) and formula (14).

[0100] In some embodiments of the present invention, when the fourth determination module 607 clusters multiple coal mining subsidence units based on the suitability evaluation value of each coal mining subsidence unit to obtain a photovoltaic power station construction suitability evaluation result, it is specifically used to: Determine the difference in suitability assessment values ​​of each coal mining subsidence unit, cluster the coal mining subsidence units whose difference in suitability assessment values ​​is less than a preset difference, and obtain multiple coal mining subsidence unit groups; obtain the average suitability assessment value of each coal mining subsidence unit group; determine at least one alternative coal mining subsidence unit group whose average suitability assessment value is greater than a preset assessment value; and use at least one alternative coal mining subsidence unit group whose surface area is greater than an area threshold as the location of a photovoltaic power station to be constructed.

[0101] It should be noted that the suitability assessment system 600 for constructing a photovoltaic power station in a coal mining subsidence area provided in the above embodiment can implement the technical solution described in the above embodiment of the suitability assessment method for constructing a photovoltaic power station in a coal mining subsidence area. The specific implementation principles or specific implementation details of the above modules can refer to the corresponding contents in the above embodiment of the suitability assessment method for constructing a photovoltaic power station in a coal mining subsidence area, which will not be elaborated here one by one.

[0102] In summary, the method for assessing the suitability of building a photovoltaic power station in a coal mining subsidence area provided by the present invention obtains multi-source data including infrared data, remote sensing data and geological data, and assesses the suitability of building a photovoltaic power station in a coal mining area based on the multi-source data, which can improve the dimensional diversity of the parameters, and thus improve the accuracy of the assessment of the suitability of building a photovoltaic power station. Further, the present invention first determines the surface subsidence rate and the surface deformation value, and judges the initial suitability of the coal mining subsidence area based on these two parameters. The judgment method and process are simple. If it is not suitable, the subsequent weight determination step does not need to be performed. If it is suitable, the weight is determined again, avoiding redundant weight determination processes and improving the efficiency of the assessment. Furthermore, the present invention optimizes the initial weight by constructing a state variable weight vector to obtain a target weight, which can adjust the target weight according to the actual situation of the coal mining subsidence area, improve the adaptability of the target weight to the coal mining subsidence area, and further improve the accuracy of the assessment.

[0103] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0104] Although the content of the present invention has been described in detail through the above preferred embodiments, it should be appreciated that the above description should not be considered as a limitation of the present invention. After reading the above content, it will be apparent to those skilled in the art that various modifications and substitutions of the present invention will occur. Therefore, the protection scope of the present invention should be limited by the appended claims.

Claims

1. A method for evaluating the suitability of building a photovoltaic power station in a coal mining subsidence area, characterized in that: include: Obtain infrared data, remote sensing data and geological data of coal mining subsidence areas; Determine the surface subsidence rate and surface deformation value of the coal mining subsidence area based on the geological data, and judge whether the initial suitability of constructing a photovoltaic power station in the coal mining subsidence area meets the requirements based on the surface subsidence rate and the surface deformation value; If yes, dividing the coal mining subsidence area into a plurality of coal mining subsidence units; Establishing a hierarchical analysis model based on the infrared data, remote sensing data and geological data, and determining the initial weight of each evaluation index in each coal mining subsidence unit based on the hierarchical analysis model, wherein the evaluation index is an index for evaluating the suitability of building a photovoltaic power station in a coal mining subsidence unit; Constructing a state variable weight vector of each evaluation indicator based on the initial weight of each evaluation indicator, and determining a target weight of each evaluation indicator based on the state variable weight vector and the initial weight of each evaluation indicator; Determine the suitability assessment value of each coal mining subsidence unit based on each evaluation index and the corresponding target weight; Based on the suitability assessment value of each coal mining subsidence unit, a plurality of the coal mining subsidence units are clustered to obtain a suitability assessment result for photovoltaic power station construction.

2. The method for evaluating suitability of building a photovoltaic power station in a coal mining subsidence area according to claim 1, characterized in that: The geological data include average mining depth, average mining speed, main impact angle, maximum sinking speed angle and coal seam inclination of the coal mining subsidence area.

3. The method for evaluating suitability of photovoltaic power stations in coal mining subsidence areas according to claim 2, characterized in that: The surface deformation value includes the maximum surface inclination value, the maximum surface horizontal deformation value and the maximum surface curvature value.

4. The method for evaluating suitability of photovoltaic power stations in coal mining subsidence areas according to claim 1, characterized in that: The determining whether the initial suitability of constructing a photovoltaic power station in a coal mining subsidence area meets the requirements based on the surface subsidence rate and the surface deformation value includes: Obtain the appropriate range of subsidence rate and surface deformation; Determining whether the surface subsidence rate is within the appropriate range of the subsidence rate, and whether the surface deformation value is within the appropriate range of the surface deformation; When the surface subsidence rate is within the suitable range of the subsidence rate, and the surface deformation value is within the suitable range of the surface deformation, it is determined that the initial suitability of constructing a photovoltaic power station in the coal mining subsidence area meets the requirements.

5. The method for evaluating suitability of building a photovoltaic power station in a coal mining subsidence area according to claim 1, characterized in that: The evaluation indicators include at least surface deformation rate, terrain slope, distance from the power demand center, photovoltaic energy potential and soil and water stability.

6. The method for evaluating suitability of building a photovoltaic power station in a coal mining subsidence area according to claim 1, characterized in that: The initial weight of each evaluation index in each coal mining subsidence unit is determined based on the hierarchical analysis model, including: Obtain the expert scores of each evaluation index, and construct a triangular fuzzy number complementary judgment matrix based on the fuzzy scaling method and the expert scores; Fuzzifying the triangular fuzzy number complementary judgment matrix based on the triangular expectation function to obtain a fuzzy reciprocal judgment matrix; Performing consistency check on the fuzzy reciprocal judgment matrix; When the consistency check passes, the weight vector of each evaluation indicator is determined based on the triangular fuzzy number formula and the fuzzy reciprocal judgment matrix, so as to determine the initial weight of each evaluation indicator according to the weight vector of each evaluation indicator.

7. The method for evaluating suitability of building a photovoltaic power station in a coal mining subsidence area according to claim 1, characterized in that: The state variable weight vector of each evaluation indicator is constructed based on the initial weight of each evaluation indicator, including: Determine the variable weight interval critical value of each evaluation indicator based on the initial weight of each evaluation indicator; Determine the variable weight threshold of each evaluation indicator based on the variable weight interval critical value of each evaluation indicator; Determining a plurality of variable weight threshold intervals for each evaluation indicator based on the variable weight threshold of each evaluation indicator; The state variable weight vector of each evaluation indicator is constructed based on the multiple variable weight threshold intervals of each evaluation indicator.

8. The method for evaluating suitability of building a photovoltaic power station in a coal mining subsidence area according to claim 7, characterized in that: The state weight vector is expressed as follows: The target weight is expressed as follows: in, For the The state variable weight vector of the evaluation index, is a natural constant, to Respectively The variable weight thresholds of the penalty interval and the no-incentive-no-punishment interval of the evaluation indicators, the variable weight thresholds of the no-incentive-no-punishment interval and the weak incentive interval, and the variable weight thresholds of the weak incentive interval and the strong incentive interval. For the Evaluation index value, For the The target weight of the evaluation index is For the The initial weights of the evaluation indicators, is the summation function, is the total number of evaluation indicators.

9. The method for evaluating suitability of building a photovoltaic power station in a coal mining subsidence area according to claim 1, characterized in that: The clustering of the plurality of coal mining subsidence units based on the suitability assessment value of each coal mining subsidence unit to obtain a suitability assessment result for photovoltaic power station construction includes: Determine the difference in suitability assessment values ​​of each coal mining subsidence unit, cluster the coal mining subsidence units whose suitability assessment value differences are less than a preset difference, and obtain multiple coal mining subsidence unit groups; Obtain the average suitability assessment value of each coal mining subsidence unit group; Determine at least one candidate coal mining subsidence unit group whose average suitability evaluation value is greater than a preset evaluation value; At least one candidate coal mining subsidence unit group whose surface area is greater than an area threshold is selected as a location for a photovoltaic power station to be constructed.

10. A system for evaluating the suitability of photovoltaic power stations in coal mining subsidence areas, characterized in that: include: Data acquisition module, used to obtain infrared data, remote sensing data and geological data of coal mining subsidence areas; An initial suitability judgment module is used to determine the surface subsidence rate and surface deformation value of the coal mining subsidence area based on the geological data, and judge whether the initial suitability of constructing a photovoltaic power station in the coal mining subsidence area meets the requirements based on the surface subsidence rate and the surface deformation value; A region division module, used for dividing the coal mining subsidence area into a plurality of coal mining subsidence units when the initial suitability meets the requirements; A first determination module is used to establish a hierarchical analysis model based on the infrared data, remote sensing data and geological data, and determine the initial weight of each evaluation index in each coal mining subsidence unit based on the hierarchical analysis model, wherein the evaluation index is an index used to evaluate the suitability of the coal mining subsidence unit to build a photovoltaic power station; A second determination module is used to construct a state-variable weight vector of each evaluation indicator based on the initial weight of each evaluation indicator, and determine a target weight of each evaluation indicator based on the state-variable weight vector and the initial weight of each evaluation indicator; The third determination module is used to determine the suitability evaluation value of each coal mining subsidence unit based on each evaluation index and each corresponding target weight; The fourth determination module is used to cluster the multiple coal mining subsidence units based on the suitability assessment value of each coal mining subsidence unit to obtain a suitability assessment result for photovoltaic power station construction.

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