Recycling configuration method and system for high-phreatic-water-level coal mining collapsed land

Abstract

The invention discloses a high-water-level coal mining collapse land recycling configuration method and system, and relates to the technical field of land configuration, and the method comprises the steps: obtaining the values, preset weights and membership functions of a plurality of evaluation indexes of a coal mining subsidence area in different land recycling directions; the land recycling direction comprises cultivated land, construction land and wetland; any land recycling direction is determined as the current direction; determining the suitability level of the coal mining subsidence area in the current direction by using a fuzzy comprehensive evaluation method based on the numerical values of all evaluation indexes of the coal mining subsidence area in the current direction, a preset weight and a membership function; and determining the final land reutilization direction of the coal mining subsidence area based on the suitability level of the coal mining subsidence area in each land reutilization direction. By means of the method, recycling configuration of the high-water-level coal mining collapsed land is achieved.

Description

Technical Field

[0001] The present application relates to the technical field of land configuration, and in particular to a method and system for configuring land for the reuse of high-water-level coal mining subsidence. Background Art

[0002] While ensuring the sustainable and healthy development of the economy and society, coal mining subsidence brings a series of ecological and social problems such as farmland destruction, vegetation degradation, infrastructure damage, urban development restrictions, and the impact on people's production and life. Especially in the grain-coal composite production area, the damage is more serious and the problem is particularly prominent, which has attracted widespread attention. Therefore, the restoration and management of coal mining subsidence areas has always been highly valued. With the increasingly stringent requirements for ecological protection and the rapid development of urban construction and social economy, the "ecological potential" and "development value" of land in coal mining subsidence areas are becoming more and more prominent. Through scientific and reasonable reuse, it can become a new resource for improving ecological quality, a new space for urban upgrading and development, and a new driving force for accelerated social and economic development. Based on the comprehensive consideration of natural environmental conditions and social and economic development, constructing a scientific and reasonable method for the reuse of high-water-level coal mining subsidence land has become an important basic work for releasing the "ecological potential" and "development value" of coal mining subsidence areas. Summary of the invention

[0003] The purpose of this application is to provide a method and system for configuring the reuse of land subsided by coal mining at a high water level, so as to solve the problem that it is impossible to configure the reuse of land subsided by coal mining at a high water level.

[0004] To achieve the above objectives, this application provides the following solutions.

[0005] In a first aspect, the present application provides a method for reusing and configuring high-water-level coal mining subsidence land, comprising: Obtaining values, preset weights and membership functions of multiple evaluation indicators in different land reuse directions of coal mining subsidence areas; the land reuse directions include: cultivated land, construction land and wetland; Identify any land reuse direction as the current direction; Using the fuzzy comprehensive evaluation method, based on the values, preset weights and membership functions of all evaluation indicators of the coal mining subsidence area in the current direction, the suitability level of the coal mining subsidence area in the current direction is determined; Based on the suitability levels of the coal mining subsidence area under various land reuse directions, the final land reuse direction of the coal mining subsidence area is determined.

[0006] Optionally, when the direction of land reuse is cultivated land, the evaluation indicators under the direction of land reuse include: collapse depth at each location in the coal mining subsidence area, organic matter content, effective soil layer thickness, barrier layer characteristics, irrigation guarantee rate, drainage conditions, farming convenience, soil source guarantee rate, groundwater level depth, distance from towns and reclamation cost.

[0007] Optionally, when the direction of land reuse is construction land, the evaluation indicators under the direction of land reuse include: subsidence depth at each location in the coal mining subsidence area, additional slope, flood level, degree of geological disaster risk, distance from the city, traffic convenience, ecological sensitivity, land development cost and economic benefits.

[0008] Optionally, when the land reuse direction is wetland, the evaluation indicators under the land reuse direction include: subsidence depth at each location in the coal mining subsidence area, perennial waterlogging area, water system connectivity, vegetation coverage, biodiversity, water environment capacity, distance to industrial land, uniformity of park distribution, development and management costs, and ecological service value.

[0009] Optionally, the process of obtaining the numerical value of the subsidence depth at each position of the coal mining subsidence area includes: Determine a working face in the coal mining subsidence area as a specific working face; Collecting surface movement observation data of the specific working face; the surface movement observation data includes: geodetic coordinates, collapse depth, horizontal movement, coal thickness, mining depth, coal seam dip and inclination; By using an intelligent algorithm, the predicted parameters of the probability integral method are inverted for the surface movement observation data of the specific working face to obtain the predicted parameters of the mining subsidence probability integral method; the predicted parameters of the mining subsidence probability integral method include: subsidence coefficient, tangent value of the main influence angle, horizontal movement coefficient, mining influence propagation angle, left turning point offset, right turning point offset, upper turning point offset and lower turning point offset; Collecting the original data of all working faces in the coal mining subsidence area; the original data of the working faces include: working face name, geodetic coordinates of the turning point of the working face, coal thickness, mining depth, coal seam inclination and dip; Based on the original data of all working faces in the coal mining subsidence area and the predicted parameters of the mining subsidence probability integral method, the numerical values ​​of the subsidence depths at various locations in the coal mining subsidence area are determined.

[0010] Optionally, the values ​​of all evaluation indicators under each land reuse direction except the subsidence depth at each location in the coal mining subsidence area are obtained through a database or statistical data.

[0011] Optionally, a fuzzy comprehensive evaluation method is used to determine the suitability level of the coal mining subsidence area in the current direction based on the values, preset weights and membership functions of all evaluation indicators of the coal mining subsidence area in the current direction, including: According to the values ​​of each evaluation index in the current direction of the coal mining subsidence area, the suitability level of each evaluation index is determined; According to the values ​​and membership functions of the evaluation indicators of the coal mining subsidence area in the current direction, the fuzzy membership of each evaluation indicator is determined, so as to obtain the fuzzy membership matrix of the coal mining subsidence area in the current direction; According to the preset weights of various evaluation indicators of the coal mining subsidence area in the current direction, a weight matrix of the coal mining subsidence area in the current direction is constructed; According to the fuzzy membership matrix and weight matrix of the coal mining subsidence area in the current direction, a comprehensive fuzzy evaluation matrix of the coal mining subsidence area in the current direction is determined; the comprehensive fuzzy evaluation matrix in the current direction includes the membership of all evaluation indicators in the current direction in the current direction; According to the comprehensive fuzzy evaluation matrix of the coal mining subsidence area in the current direction, the suitability level of the coal mining subsidence area in the current direction is determined.

[0012] Optionally, according to the comprehensive fuzzy evaluation matrix of the coal mining subsidence area in the current direction, the suitability level of the coal mining subsidence area in the current direction is determined, including: The evaluation index with the largest membership degree in the comprehensive fuzzy evaluation matrix is ​​determined as the target index; Determine the suitability level of the target indicator in the current direction according to the membership function of the coal mining subsidence area in the current direction and the membership of the target indicator in the current direction; The suitability level of the target indicator in the current direction is determined as the suitability level of the coal mining subsidence area in the current direction.

[0013] Optionally, based on the suitability levels of the coal mining subsidence area under various land reuse directions, the final land reuse direction of the coal mining subsidence area is determined, including: judging whether the number of land reuse directions with the highest suitability level among the suitability levels of the coal mining subsidence area under various land reuse directions is greater than 1; if not, determining the land reuse direction with the highest suitability level as the final land reuse direction of the coal mining subsidence area; if so, obtaining the preset priority of each land reuse direction, and determining the land reuse direction with the highest suitability level and the highest preset priority as the final land reuse direction of the coal mining subsidence area.

[0014] In a second aspect, the present application provides a high-water level coal mining subsidence land reuse configuration system, which is used to implement any of the high-water level coal mining subsidence land reuse configuration methods described above, and the high-water level coal mining subsidence land reuse configuration system includes: A data acquisition module is used to obtain the values, preset weights and membership functions of multiple evaluation indicators in different land reuse directions of coal mining subsidence areas; the land reuse directions include: cultivated land, construction land and wetland; A direction setting module, used for determining any land reuse direction as the current direction; A suitability level determination module is used to determine the suitability level of the coal mining subsidence area in the current direction based on the values, preset weights and membership functions of all evaluation indicators of the coal mining subsidence area in the current direction using a fuzzy comprehensive evaluation method; The land reuse configuration module is used to determine the final land reuse direction of the coal mining subsidence area based on the suitability level of the coal mining subsidence area under various land reuse directions.

[0015] According to the specific embodiments provided in this application, this application discloses the following technical effects: The present application discloses a method and system for configuring land reuse of coal mining subsidence with high water level. Firstly, the numerical values, preset weights and membership functions of multiple evaluation indicators of the coal mining subsidence area in different land reuse directions are obtained; the land reuse directions include: cultivated land, construction land and wetland; secondly, any land reuse direction is determined as the current direction; thirdly, a fuzzy comprehensive evaluation method is used to determine the suitability level of the coal mining subsidence area in the current direction based on the numerical values, preset weights and membership functions of all evaluation indicators of the coal mining subsidence area in the current direction; finally, based on the suitability level of the coal mining subsidence area in each land reuse direction, the final land reuse direction of the coal mining subsidence area is determined, thereby realizing the configuration of land reuse of coal mining subsidence with high water level. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 A schematic flow chart of a method for configuring the reuse of high-water-level coal mining subsidence land provided in one embodiment of the present application.

[0018] Figure 2 This is the membership function diagram corresponding to the organic matter content evaluation index under the land reuse direction when the land reuse direction is cultivated land.

[0019] Figure 3 This is the membership function diagram corresponding to the irrigation guarantee rate evaluation index under the land reuse direction when the land reuse direction is cultivated land. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0021] The purpose of this application is to provide a method and system for the reuse of land subsided by coal mining with high water level, aiming to achieve the reuse of land subsided by coal mining with high water level.

[0022] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0023] In an exemplary embodiment, Figure 1 As shown, a method for configuring the reuse of high-water-level coal mining subsidence land is provided, including steps 1 to 4.

[0024] Step 1: Obtain the values, preset weights and membership functions of multiple evaluation indicators in different land reuse directions in coal mining subsidence areas; land reuse directions include: cultivated land, construction land and wetland.

[0025] Specifically, the coal mining subsidence area is a high groundwater level coal mining subsidence area. The cultivated land destroyed by coal mining subsidence is first restored to cultivated land, so the land reuse direction 1 is set as cultivated land; however, for areas with deep subsidence and perennial waterlogging, the destruction of cultivated land is irreversible, there is a lack of filling materials to restore the original surface elevation, and the cost of restoring cultivated land is high. At the same time, the water area can be fully utilized to exert its ecological value, so the land reuse direction 2 is set as wetland; in addition, some subsidence areas inevitably affect cities, towns, and villages, or urban infrastructure, especially roads, are difficult to get rid of the impact of coal mining subsidence. Roads pass through the surface subsidence area on the basis of taking necessary reinforcement measures, so the land reuse direction 3 is set as construction land.

[0026] The preset weight of each evaluation indicator is the average of the weights given by multiple experts.

[0027] As an optional implementation method, when the direction of land reuse is arable land, the evaluation indicators under the direction of land reuse include: collapse depth at each location in the coal mining subsidence area, organic matter content, effective soil layer thickness, barrier layer characteristics, irrigation guarantee rate, drainage conditions, farming convenience, soil source guarantee rate, groundwater level depth, distance from towns and reclamation costs.

[0028] As an optional implementation method, when the direction of land reuse is construction land, the evaluation indicators under the direction of land reuse include: the collapse depth of each location in the coal mining subsidence area, additional slope, flood level, degree of geological disaster risk, distance from the city, traffic convenience, ecological sensitivity, land development cost and economic benefits.

[0029] As an optional implementation method, when the direction of land reuse is wetland, the evaluation indicators under the direction of land reuse include: the collapse depth of each location in the coal mining subsidence area, the perennial waterlogging area, the connectivity of the water system, the vegetation coverage, the biodiversity, the water environment capacity, the distance to the industrial land, the uniformity of the park distribution, the development and management cost and the ecological service value.

[0030] As an optional implementation, in step 1, the process of obtaining the numerical value of the subsidence depth at each location in the coal mining subsidence area includes steps 11 to 15.

[0031] Step 11: Determine a working face in the coal mining subsidence area as a specific working face.

[0032] Step 12: Collect surface movement observation data of a specific working face; the surface movement observation data include: geodetic coordinates, collapse depth, horizontal movement, coal thickness, mining depth, coal seam inclination and dip.

[0033] Step 13: Use intelligent algorithms to invert the predicted parameters of the probability integral method for the surface movement observation data of a specific working face to obtain the predicted parameters of the mining subsidence probability integral method; the predicted parameters of the mining subsidence probability integral method include: subsidence coefficient, tangent value of the main influencing angle, horizontal movement coefficient, mining influence propagation angle, left turning point offset, right turning point offset, upper turning point offset and lower turning point offset.

[0034] Specifically, intelligent algorithms are pre-deployed in the probability integral method prediction software, including but not limited to genetic algorithms, particle algorithms and beetle whisker algorithms. The surface movement observation data of a specific working face is input into the probability integral method prediction software to generate an inversion report, which includes the mining subsidence probability integral method prediction parameters.

[0035] Step 14: Collect the original data of all working faces in the coal mining subsidence area; the original data of the working faces include: working face name, geodetic coordinates of the turning point of the working face, coal thickness, mining depth, coal seam inclination and dip.

[0036] Step 15: Based on the original data of all working faces in the coal mining subsidence area and the predicted parameters of the mining subsidence probability integral method, determine the numerical value of the subsidence depth at each location in the coal mining subsidence area.

[0037] Specifically, the original data of all working faces in the coal mining subsidence area and the predicted parameters of the mining subsidence probability integral method are imported into the probability integral method prediction software, the number of working faces participating in the prediction, the predicted azimuth of the moving deformation and the point spacing of the surface points are filled in, and the prediction type is selected in the drop-down menu. After the settings are completed, the probability integral method prediction software starts to run the prediction calculation program of the linear surface points. After the prediction is completed, the probability integral method prediction software pops up a data file storing various types of moving deformation value results, which includes the values ​​of the subsidence depths at various locations in the coal mining subsidence area.

[0038] As an optional implementation, in step 1, the values ​​of all evaluation indicators under various land reuse directions except the subsidence depth at each location in the coal mining subsidence area are obtained through a database or statistical data.

[0039] Specifically, the method for obtaining the evaluation indicators under each land reuse direction is as follows.

[0040] When the direction of land reuse is cultivated land, among the evaluation indicators under the direction of land reuse, the organic matter content, effective soil layer thickness, barrier layer characteristics, irrigation guarantee rate, drainage conditions, and farming convenience are obtained through the cultivated land quality database of the natural resources management department of the county, city or district where the coal mining subsidence area is located; the soil source guarantee rate and reclamation cost are obtained through the coal mining subsidence land management database of the natural resources management department of the county, city or district where the coal mining subsidence area is located; the groundwater level is obtained through the annual monitoring report of the natural resources management department or water conservancy department of the county, city or district where the coal mining subsidence area is located; and the distance to the town is determined by the distance tool in ArcGIS software based on the distribution of towns in the coal mining subsidence area.

[0041] When the direction of land reuse is construction land, among the evaluation indicators under the direction of land reuse, the additional slope, flood level, and degree of geological disaster risk are obtained through the urban geological database of the natural resources management department of the county, city, and district where the coal mining subsidence area is located. The distance to the city is determined by the distance tool in ArcGIS software based on the distribution of cities in the coal mining subsidence area. The traffic convenience is determined by the distance tool in ArcGIS software based on the distribution of roads in the coal mining subsidence area. The ecological sensitivity is determined by the distance tool in ArcGIS software based on the distribution of ecological sensitive areas in the coal mining subsidence area. The land development cost and economic benefits can be obtained through the statistical data of the Housing and Construction Bureau of the county, city, and district where the coal mining subsidence area is located.

[0042] When the direction of land reuse is wetland, among the evaluation indicators under the direction of land reuse, the perennial waterlogged area is delineated by remote sensing images, the water system connectivity is determined by ArcGIS software based on the distance between the coal mining subsidence area and rivers and lakes, the vegetation coverage and ecological service value are obtained by remote sensing image interpretation, the biodiversity is determined based on the relevant survey data of the natural resources and forestry departments, the water environment capacity is calculated based on the water quality monitoring results using the lake reservoir box model, the distance to industrial land is determined by the distance tool in ArcGIS software based on the distribution of industrial land in the coal mining subsidence area, the uniformity of park distribution is determined by the distance tool in ArcGIS software based on the distribution of parks in the coal mining subsidence area, and the development and management cost is obtained through the statistical data of the Housing and Construction Bureau of the county, city or district where the coal mining subsidence area is located or the coal mining subsidence land management database of the county, city or district natural resources management department.

[0043] Step 2: Identify any land reuse direction as the current direction.

[0044] Step 3: Using the fuzzy comprehensive evaluation method, based on the values, preset weights and membership functions of all evaluation indicators of the coal mining subsidence area in the current direction, determine the suitability level of the coal mining subsidence area in the current direction.

[0045] As an optional implementation, step 3 includes steps 31 to 35.

[0046] Step 31: Determine the suitability level of each evaluation index according to the value of each evaluation index in the current direction of the coal mining subsidence area.

[0047] Specifically, the corresponding relationships between the values ​​of the evaluation indicators under each land reuse direction and the suitability levels are shown in Tables 1 to 3, respectively.

[0048] Table 1 Corresponding relationship table when the land reuse direction is cultivated land

[0049] Table 2 Corresponding relationship table when the land reuse direction is construction land

[0050] Table 3 Corresponding relationship table when the land reuse direction is wetland

[0051] Step 32: Determine the fuzzy membership of each evaluation index according to the value and membership function of each evaluation index in the current direction of the coal mining subsidence area, so as to obtain the fuzzy membership matrix of the coal mining subsidence area in the current direction.

[0052] Specifically, the key to constructing the membership function of any evaluation index lies in the correspondence between the evaluation index and the suitability level and the cutoff value: the correspondence has an enhanced type (that is, the larger the value of the evaluation index, the more suitable the suitability level) and a weakened type (that is, the larger the value of the evaluation index, the less suitable the suitability level). The evaluation index includes: quantitative evaluation indicators and qualitative evaluation indicators; the cutoff value is mainly determined by referring to the corresponding specifications and standards of the evaluation index and the actual engineering experience classification.

[0053] When the evaluation index is a quantitative evaluation index, such as when the land reuse direction is cultivated land, the membership function corresponding to the organic matter content evaluation index under the land reuse direction is as follows: Figure 2 As shown, Figure 2 The horizontal line starting from the origin, i.e. the first horizontal line, corresponds to suitability level 1 (i.e. unsuitable), and the corresponding organic matter content evaluation index value range is <15 g / kg (corresponding to Figure 1 The slash corresponds to suitability level 2 (relatively suitable), and the corresponding organic matter content evaluation index ranges from 15 to 20 g / kg (corresponding to Figure 1 a~b in the figure); the first horizontal line corresponds to suitability level 3 (suitable), and the corresponding organic matter content evaluation index value range is ≥20 g / kg (corresponding Figure 1 b~c in it).

[0054] When the evaluation index is a qualitative evaluation index, such as when the land reuse direction is cultivated land, the membership function corresponding to the irrigation guarantee rate evaluation index under the land reuse direction is as follows: Figure 3 As shown, Figure 3 In the figure, the values ​​of the irrigation guarantee rate evaluation index corresponding to the horizontal lines from 0 to a are not satisfied, corresponding to suitability level 1 (i.e., unsuitable); the values ​​of the irrigation guarantee rate evaluation index corresponding to the horizontal lines from a to b are generally satisfied, corresponding to suitability level 2 (i.e., relatively suitable); the values ​​of the irrigation guarantee rate evaluation index corresponding to the horizontal lines from b to d are basically to fully satisfied, corresponding to suitability level 3 (i.e., suitable).

[0055] Step 33: According to the preset weights of the evaluation indicators of the coal mining subsidence area in the current direction, a weight matrix of the coal mining subsidence area in the current direction is constructed.

[0056] Step 34: Determine the comprehensive fuzzy evaluation matrix of the coal mining subsidence area in the current direction according to the fuzzy membership matrix and weight matrix of the coal mining subsidence area in the current direction; the comprehensive fuzzy evaluation matrix in the current direction includes the membership of all evaluation indicators in the current direction.

[0057] Specifically, the calculation formula of the comprehensive fuzzy evaluation matrix under the current direction is: .

[0058] in, is the comprehensive fuzzy evaluation matrix under the current direction; is the weight matrix; is the fuzzy membership matrix of the coal mining subsidence area in the current direction; is the setting weight of evaluation index 1; The weight set for evaluation index 2; is the setting weight of the evaluation index n. When the current direction is cultivated land, the value of n is 11; when the current direction is construction land, the value of n is 9; when the current direction is wetland, the value of n is 10; is the fuzzy membership of evaluation index 1 at suitability level 1 (i.e., unsuitable); is the fuzzy membership of evaluation index 1 at suitability level 2 (i.e., more suitable); is the fuzzy membership of evaluation index 1 at suitability level 3 (i.e., suitable); is the fuzzy membership of evaluation index n at suitability level 1 (i.e., unsuitable); is the fuzzy membership of evaluation index n at suitability level 2 (i.e., suitable); is the fuzzy membership of evaluation index n at suitability level 3 (i.e., suitable); is the membership degree of evaluation index 1 in the current direction; is the membership degree of evaluation index 2 in the current direction; is the membership degree of the evaluation index n in the current direction.

[0059] Step 35: Determine the suitability level of the coal mining subsidence area in the current direction according to the comprehensive fuzzy evaluation matrix of the coal mining subsidence area in the current direction.

[0060] As an optional implementation, step 35 includes steps 351 to 353.

[0061] Step 351: Determine the evaluation index with the largest membership degree in the comprehensive fuzzy evaluation matrix as the target index.

[0062] Step 352: Determine the suitability level of the target indicator in the current direction based on the membership function of the coal mining subsidence area in the current direction and the membership of the target indicator in the current direction.

[0063] Step 353: Determine the suitability level of the target indicator in the current direction as the suitability level of the coal mining subsidence area in the current direction.

[0064] Step 4: Based on the suitability level of the coal mining subsidence area under various land reuse directions, determine the final land reuse direction of the coal mining subsidence area.

[0065] As an optional implementation, step 4 includes steps 41 to 43.

[0066] Step 41: Determine whether the number of land reuse directions with the highest suitability level among the suitability levels of various land reuse directions in the coal mining subsidence area is greater than 1.

[0067] Step 42: If not, the land reuse direction with the highest suitability level is determined as the final land reuse direction of the coal mining subsidence area.

[0068] Step 43: If yes, then obtain the preset priority of each land reuse direction, and determine the land reuse direction with the highest suitability level and the highest preset priority as the final land reuse direction of the coal mining subsidence area.

[0069] Specifically, the preset priority of each land reuse direction is: cultivated land > wetland > construction land.

[0070] In an exemplary embodiment, a high-water level coal mining subsidence land reuse configuration system is provided, which is used to implement any of the high-water level coal mining subsidence land reuse configuration methods described above, and the high-water level coal mining subsidence land reuse configuration system includes the following modules.

[0071] The data acquisition module is used to obtain the values, preset weights and membership functions of multiple evaluation indicators in different land reuse directions in coal mining subsidence areas; the land reuse directions include: cultivated land, construction land and wetlands.

[0072] The direction setting module is used to determine any land reuse direction as the current direction.

[0073] The suitability level determination module is used to determine the suitability level of the coal mining subsidence area in the current direction based on the values, preset weights and membership functions of all evaluation indicators of the coal mining subsidence area in the current direction using a fuzzy comprehensive evaluation method.

[0074] The land reuse configuration module is used to determine the final land reuse direction of the coal mining subsidence area based on the suitability level of the coal mining subsidence area under various land reuse directions.

[0075] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0076] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0077] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for reusing and configuring high-water-level coal mining subsidence land, characterized in that: The high-water level coal mining subsidence land reuse configuration method comprises: Obtaining values, preset weights and membership functions of multiple evaluation indicators in different land reuse directions of coal mining subsidence areas; the land reuse directions include: cultivated land, construction land and wetland; Identify any land reuse direction as the current direction; Using the fuzzy comprehensive evaluation method, based on the values, preset weights and membership functions of all evaluation indicators of the coal mining subsidence area in the current direction, the suitability level of the coal mining subsidence area in the current direction is determined; Based on the suitability levels of the coal mining subsidence area under various land reuse directions, the final land reuse direction of the coal mining subsidence area is determined.

2. The method for reusing and configuring high-water-level coal mining subsidence land according to claim 1, characterized in that: When the direction of land reuse is cultivated land, the evaluation indicators under the direction of land reuse include: collapse depth at each location in the coal mining subsidence area, organic matter content, effective soil layer thickness, barrier layer characteristics, irrigation guarantee rate, drainage conditions, farming convenience, soil source guarantee rate, groundwater level depth, distance from towns and reclamation cost.

3. The method for reusing and configuring high-water-level coal mining subsidence land according to claim 2, characterized in that: When the direction of land reuse is construction land, the evaluation indicators under the direction of land reuse include: collapse depth at each location in the coal mining subsidence area, additional slope, flood level, degree of geological disaster risk, distance from the city, traffic convenience, ecological sensitivity, land development cost and economic benefits.

4. The method for reusing and configuring high-water-level coal mining subsidence land according to claim 3 is characterized in that: When the direction of land reuse is wetland, the evaluation indicators under the direction of land reuse include: subsidence depth at each location in the coal mining subsidence area, perennial waterlogging area, water system connectivity, vegetation coverage, biodiversity, water environment capacity, distance to industrial land, uniformity of park distribution, development and management cost and ecological service value.

5. The method for reusing and configuring high-water-level coal mining subsidence land according to claim 4, characterized in that: The process of obtaining the numerical value of the subsidence depth at each location in the coal mining subsidence area includes: Determine a working face in the coal mining subsidence area as a specific working face; Collecting surface movement observation data of the specific working face; the surface movement observation data includes: geodetic coordinates, collapse depth, horizontal movement, coal thickness, mining depth, coal seam dip and inclination; By using an intelligent algorithm, the predicted parameters of the probability integral method are inverted for the surface movement observation data of the specific working face to obtain the predicted parameters of the mining subsidence probability integral method; the predicted parameters of the mining subsidence probability integral method include: subsidence coefficient, tangent value of the main influence angle, horizontal movement coefficient, mining influence propagation angle, left turning point offset, right turning point offset, upper turning point offset and lower turning point offset; Collecting the original data of all working faces in the coal mining subsidence area; the original data of the working faces include: working face name, geodetic coordinates of the turning point of the working face, coal thickness, mining depth, coal seam inclination and dip; Based on the original working face data of all working faces in the coal mining subsidence area and the predicted parameters of the mining subsidence probability integral method, the numerical values ​​of the subsidence depths at various locations in the coal mining subsidence area are determined.

6. The method for reusing and configuring high-water-level coal mining subsidence land according to claim 5, characterized in that: The values ​​of all evaluation indicators under each land reuse direction, except for the subsidence depth at each location in the coal mining subsidence area, are obtained through databases or statistical data.

7. The method for reusing and configuring high-water-level coal mining subsidence land according to claim 6, characterized in that: The fuzzy comprehensive evaluation method is used to determine the suitability level of the coal mining subsidence area in the current direction based on the values, preset weights and membership functions of all evaluation indicators of the coal mining subsidence area in the current direction, including: According to the values ​​of each evaluation index in the current direction of the coal mining subsidence area, the suitability level of each evaluation index is determined; According to the values ​​and membership functions of the evaluation indicators of the coal mining subsidence area in the current direction, the fuzzy membership of each evaluation indicator is determined, so as to obtain the fuzzy membership matrix of the coal mining subsidence area in the current direction; According to the preset weights of various evaluation indicators of the coal mining subsidence area in the current direction, a weight matrix of the coal mining subsidence area in the current direction is constructed; According to the fuzzy membership matrix and weight matrix of the coal mining subsidence area in the current direction, a comprehensive fuzzy evaluation matrix of the coal mining subsidence area in the current direction is determined; the comprehensive fuzzy evaluation matrix in the current direction includes the membership of all evaluation indicators in the current direction in the current direction; According to the comprehensive fuzzy evaluation matrix of the coal mining subsidence area in the current direction, the suitability level of the coal mining subsidence area in the current direction is determined.

8. The method for reusing and configuring high-water-level coal mining subsidence land according to claim 7, characterized in that: According to the comprehensive fuzzy evaluation matrix of the coal mining subsidence area in the current direction, the suitability level of the coal mining subsidence area in the current direction is determined, including: The evaluation index with the largest membership degree in the comprehensive fuzzy evaluation matrix is ​​determined as the target index; Determine the suitability level of the target indicator in the current direction according to the membership function of the coal mining subsidence area in the current direction and the membership of the target indicator in the current direction; The suitability level of the target indicator in the current direction is determined as the suitability level of the coal mining subsidence area in the current direction.

9. The method for reusing and configuring high-water-level coal mining subsidence land according to claim 8, characterized in that: Based on the suitability level of coal mining subsidence areas under various land reuse directions, the final land reuse direction of coal mining subsidence areas is determined, including: Determine whether the number of land reuse directions with the highest suitability level in the suitability levels of various land reuse directions in the coal mining subsidence area is greater than 1; If not, the land reuse direction with the highest suitability level is determined as the final land reuse direction of the coal mining subsidence area; If so, the preset priority of each land reuse direction is obtained, and the land reuse direction with the highest suitability level and the highest preset priority is determined as the final land reuse direction of the coal mining subsidence area.

10. A system for reusing and configuring land subsided due to high water level coal mining, used to implement the method for reusing and configuring land subsided due to high water level coal mining as claimed in any one of claims 1 to 9, characterized in that: The high-water level coal mining subsidence land reuse configuration system includes: A data acquisition module is used to obtain the values, preset weights and membership functions of multiple evaluation indicators in different land reuse directions of coal mining subsidence areas; the land reuse directions include: cultivated land, construction land and wetland; A direction setting module, used for determining any land reuse direction as the current direction; A suitability level determination module is used to determine the suitability level of the coal mining subsidence area in the current direction based on the values, preset weights and membership functions of all evaluation indicators of the coal mining subsidence area in the current direction using a fuzzy comprehensive evaluation method; The land reuse configuration module is used to determine the final land reuse direction of the coal mining subsidence area based on the suitability level of the coal mining subsidence area under various land reuse directions.

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