An ecological reconstruction and multifunctional land regeneration integrated repair system for mine wasteland

CN122548985APending Publication Date: 2026-08-11HUNAN ENG POLYTECHNIC +1
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Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-18
Publication Date
2026-08-11

AI Technical Summary

Technical Problem

通过数据指标体系的动态更新和修复策略的及时调整,系统能够适应生态修复过程中的各种变化,确保修复工作的顺利进行,同时,修复效果的实时评估和管理决策的科学制定,提高了修复工作的效率和效果,避免了资源的浪费和修复工作的盲目性,此外,这种动态调整机制还能够及时发现和解决修复过程中出现的问题,降低修复风险,提高修复工作的成功率和可持续性;但该方案主要侧重于露天矿山生态修复过程的管理评价与策略动态调整,缺乏对矿山废弃地地形结构特征、自然条件约束及区域社会需求因素的协同分析,未能建立多功能土地再生导向的综合功能适配与竞争协调分区机制,难以实现矿山废弃地生态重构与土地再生功能协同优化的一体化修复决策

Benefits of technology

[0019] This scheme analyzes the topographical and structural characteristics of abandoned mining areas and divides them into restoration units, achieving a refined expression of the restoration spatial structure. This provides a reliable data foundation for subsequent land regeneration function adaptation analysis, improving the scientific nature of restoration unit division and spatial analysis accuracy. By introducing engineering modification capabilities to modify natural constraints, it shifts from traditional static natural condition evaluation to dynamic adaptation analysis considering engineering feasibility, improving the engineering feasibility of land function adaptation evaluation results. Furthermore, by incorporating social demand factors such as regional population distribution, industrial layout, and spatial planning guidance into the land regeneration function adaptation analysis process, the land function zoning results can simultaneously reflect ecological restoration needs and regional development needs, enhancing the effectiveness of functional zoning. The results demonstrate practical applicability and planning coordination; by integrating the degree of adaptation to natural conditions and the degree of social needs for comprehensive functional adaptation calculation, the comprehensiveness and accuracy of land regeneration functional adaptation analysis results are improved; by constructing a functional competition coordination judgment mechanism to correct the competitive relationship between different land function types, the functional misjudgment problem caused by the traditional single maximum value judgment method is effectively avoided, and the stability and reliability of land regeneration functional zoning results are improved; by generating corresponding ecological restoration implementation path schemes based on land regeneration functional zoning results, the automatic conversion from functional zoning results to engineering implementation paths is realized, improving the efficiency of ecological restoration scheme formulation for mining wasteland and enhancing the systematicness and engineering feasibility of restoration schemes.

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Abstract

This invention provides an integrated restoration system for ecological reconstruction and multifunctional land regeneration of abandoned mining sites. The system includes a topographic structure analysis module, a natural condition adaptation analysis module, a social demand analysis module, a functional adaptation calculation module, a zoning decision module, and a restoration path generation module. By analyzing the regional structural characteristics of abandoned mining sites and dividing them into restoration units, the system analyzes the natural condition adaptation degree in conjunction with natural constraints and engineering transformation capabilities. Simultaneously, it incorporates regional social demand factors to calculate the social demand degree. Based on this, it integrates and calculates the comprehensive functional adaptation degree and determines the optimal land regeneration functional zoning type according to functional competition relationships. Furthermore, it generates corresponding ecological restoration implementation path schemes, achieving coordinated determination of land regeneration functional zoning and restoration paths for abandoned mining sites. This invention realizes the transformation from single-factor static evaluation to multi-factor collaborative dynamic decision-making for land regeneration functional zoning of abandoned mining sites, improving the scientific rigor, coordination, and engineering feasibility of the functional zoning results.
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Description

Technical Field

[0001] This invention relates to the field of mine ecological restoration system technology, and in particular to an integrated restoration system for ecological reconstruction and multifunctional land regeneration of abandoned mine sites. Background Technology

[0002] With the long-term high-intensity development of mineral resources, a large number of mining wastelands, such as pits, spoil heaps, slopes, and slag heaps, have been formed. These areas generally suffer from severe topographic fragmentation, significant damage to ecological structure, high risk of soil erosion, and lack of land use functions. This not only affects regional ecological security but also restricts the rational use of land resources around mining areas and regional sustainable development. Therefore, systematic ecological restoration and land function reconstruction of mining wastelands has become one of the important research directions in the field of ecological restoration.

[0003] Existing mine wasteland remediation technologies often focus on single ecological restoration measures or localized engineering measures, typically aiming at vegetation restoration or slope stabilization. They lack a comprehensive analysis of the overall spatial structure characteristics of mine wastelands and the needs for land regeneration. Furthermore, some technical solutions primarily evaluate the suitability of natural conditions during the remediation process, with less consideration given to regional social needs and the synergistic relationship between land functions. This results in insufficient matching between remediation solutions and regional development needs, affecting the efficiency of land reuse and the long-term stability of remediation effects.

[0004] Furthermore, existing decision-making methods for mine wasteland remediation often employ single-indicator or simple weighted evaluation approaches for functional zoning. These methods lack effective coordination mechanisms for the competitive relationships between different land function types, making it difficult to achieve synergistic optimization of multifunctional land regeneration goals. Consequently, they restrict the scientific and systematic nature of mine wasteland ecological restoration schemes. Therefore, it is necessary to propose a collaborative restoration technology system for mine wasteland ecological reconstruction and multifunctional land regeneration that comprehensively considers topographical features, natural constraints, and regional social needs. This system aims to improve the rationality and effectiveness of mine wasteland ecological restoration and land reuse decisions.

[0005] A review of publicly available technical solutions reveals that CN121258720A proposes an open-pit mine ecological restoration management and evaluation system. This system includes modules for data acquisition, database, data indicator system construction, restoration strategy generation, restoration effect evaluation, visualization, management decision support, and evaluation models. Through dynamic updates of the data indicator system and timely adjustments to restoration strategies, the system can adapt to various changes during the ecological restoration process, ensuring the smooth progress of restoration work. Simultaneously, real-time evaluation of restoration effects and scientific formulation of management decisions improve the efficiency and effectiveness of restoration work, avoiding resource waste and blind spots. Furthermore, this dynamic adjustment mechanism can promptly identify and resolve problems arising during restoration, reducing restoration risks and improving the success rate and sustainability of restoration work. However, this solution primarily focuses on the management evaluation and dynamic adjustment of strategies during the open-pit mine ecological restoration process. It lacks a collaborative analysis of the terrain structure characteristics, natural constraints, and regional social needs of the abandoned mine site. It fails to establish a multi-functional land regeneration-oriented comprehensive functional adaptation and competitive coordination zoning mechanism, making it difficult to achieve integrated restoration decision-making that coordinates and optimizes the ecological reconstruction and land regeneration functions of the abandoned mine site. Summary of the Invention

[0006] The purpose of this invention is to address the shortcomings of current systems by proposing an integrated restoration system for ecological reconstruction and multifunctional land regeneration of abandoned mining sites.

[0007] The present invention adopts the following technical solution:

[0008] An integrated system for ecological reconstruction and multifunctional land regeneration of abandoned mining sites is disclosed. The system includes a topographic structure analysis module, a natural condition adaptation analysis module, a social demand analysis module, a functional adaptation calculation module, a zoning decision module, and a restoration path generation module. The topographic structure analysis module acquires structural characteristic parameters of the abandoned mining area and divides it into multiple restoration units. The natural condition adaptation analysis module analyzes the natural condition adaptability of each restoration unit based on the restoration difficulty of different land function types. The social demand analysis module analyzes the social demand of each restoration unit for each land function type based on the social demand conditions of the restoration units. The functional adaptation calculation module integrates the natural condition adaptability and social demand to calculate the comprehensive functional adaptability of each restoration unit for different land function types. The zoning decision module determines the optimal land regeneration functional zoning type for each restoration unit based on the comprehensive functional adaptability and functional competition relationships. The restoration path generation module generates corresponding ecological restoration implementation path schemes for abandoned mining sites based on the land regeneration functional zoning results.

[0009] The terrain structure analysis module includes a 3D terrain modeling unit, a damage structure identification unit, and a repair unit division unit. The 3D terrain modeling unit is used to acquire basic terrain data of the abandoned mining area and construct a 3D terrain model of the mining area based on the basic terrain data. The damage structure identification unit is used to identify typical damage structures in the abandoned mining area based on the 3D terrain model of the mining area and extract structural feature parameters of typical damage structures. The repair unit division unit is used to divide the abandoned mining area into multiple repair units according to the terrain structure segmentation conditions of the abandoned mining area.

[0010] Furthermore, the natural condition adaptation analysis module includes an adaptation condition analysis unit and an adaptation result output unit; the adaptation condition analysis unit is used to analyze the natural constraint intensity of each restoration unit in combination with the natural constraint conditions of each restoration unit corresponding to different land function types, and to calculate the natural condition adaptation degree of each restoration unit corresponding to different land function types in combination with the engineering transformation capacity; the adaptation result output unit is used to output the natural condition adaptation degree matrix of each restoration unit corresponding to different land function types.

[0011] Furthermore, the adaptation condition analysis unit calculates the adaptation degree of each remediation unit to the natural conditions of various land function types in the following manner:

[0012] ;

[0013] in, For the first The repair unit corresponds to the first The suitability of natural conditions for land use types; For the first The repair unit corresponds to the first The natural constraint condition parameter values ​​are determined based on the structural feature parameters extracted by the terrain structure analysis module. For the first The first land function type corresponding to the The optimal fit value of the natural constraint parameter; For the first The first land function type corresponding to the The allowable deviation range of the natural constraint parameter is used to characterize the adaptability range of the natural constraint parameter. The number of natural constraint parameter types involved in the calculation; For the first The repair unit corresponds to the first The engineering breakthrough coefficient of the natural constraint parameter is used to characterize the degree to which the engineering modification capability weakens the strength of the natural constraint. For the first The repair unit corresponding to the first The parameter values ​​for hard constraints, whereby hard constraints are the necessary natural conditions that satisfy the requirements for restoring the target land function type; For the first The first land function type corresponding to the The allowed range of values ​​for hard constraint parameters. This is a hard constraint judgment function used to determine the first... The repair unit corresponds to the first Whether the land use type meets the preset hard constraints. If the preset hard constraints are met, the function value is 1; otherwise, the function value is 0.

[0014] Furthermore, the social demand analysis module includes a demand condition identification unit, a demand intensity calculation unit, and a demand result output unit; the demand condition identification unit is used to identify the social demand source information of the area surrounding the restoration unit; the demand intensity calculation unit is used to calculate the social demand degree corresponding to different land function types for each restoration unit based on the social demand source information; and the demand result output unit is used to output the social demand degree matrix corresponding to different land function types for each restoration unit.

[0015] Furthermore, the functional adaptation calculation module includes an adaptation fusion calculation unit and an adaptation result output unit; the adaptation fusion calculation unit is used to calculate the comprehensive functional adaptation degree of each restoration unit corresponding to different land function types based on the natural condition adaptation degree and social demand degree of each restoration unit corresponding to different land function types; the adaptation result output unit is used to output the comprehensive functional adaptation matrix of each restoration unit corresponding to different land function types.

[0016] Furthermore, the zoning decision module includes a competition relationship analysis unit, an adaptation correction calculation unit, and a zoning type determination unit. The competition relationship analysis unit is used to analyze the functional competition relationship between different land function types based on the comprehensive functional adaptation degree of each restoration unit corresponding to different land function types, and calculate the functional competition coordination coefficient of each restoration unit corresponding to different land function types. The adaptation correction calculation unit is used to correct the comprehensive functional adaptation degree of each restoration unit corresponding to different land function types based on the functional competition coordination coefficient, and obtain the comprehensive functional adaptation degree after competition coordination. The zoning type determination unit is used to determine the optimal land regeneration functional zoning type corresponding to each restoration unit based on the comprehensive functional adaptation degree after competition coordination and the preset zoning judgment rules.

[0017] Furthermore, the restoration path generation module includes a restoration strategy matching unit and a restoration path output unit; the restoration strategy matching unit is used to match the corresponding ecological restoration implementation strategy according to the land regeneration functional zoning type corresponding to each restoration unit, and generate a corresponding restoration engineering measure combination scheme; the restoration path output unit is used to generate a sequence of ecological restoration implementation paths for mining wasteland according to the restoration engineering measure combination scheme, and output the restoration path scheme corresponding to each restoration unit.

[0018] The beneficial effects achieved by this invention are:

[0019] This scheme analyzes the topographical and structural characteristics of abandoned mining areas and divides them into restoration units, achieving a refined expression of the restoration spatial structure. This provides a reliable data foundation for subsequent land regeneration function adaptation analysis, improving the scientific nature of restoration unit division and spatial analysis accuracy. By introducing engineering modification capabilities to modify natural constraints, it shifts from traditional static natural condition evaluation to dynamic adaptation analysis considering engineering feasibility, improving the engineering feasibility of land function adaptation evaluation results. Furthermore, by incorporating social demand factors such as regional population distribution, industrial layout, and spatial planning guidance into the land regeneration function adaptation analysis process, the land function zoning results can simultaneously reflect ecological restoration needs and regional development needs, enhancing the effectiveness of functional zoning. The results demonstrate practical applicability and planning coordination; by integrating the degree of adaptation to natural conditions and the degree of social needs for comprehensive functional adaptation calculation, the comprehensiveness and accuracy of land regeneration functional adaptation analysis results are improved; by constructing a functional competition coordination judgment mechanism to correct the competitive relationship between different land function types, the functional misjudgment problem caused by the traditional single maximum value judgment method is effectively avoided, and the stability and reliability of land regeneration functional zoning results are improved; by generating corresponding ecological restoration implementation path schemes based on land regeneration functional zoning results, the automatic conversion from functional zoning results to engineering implementation paths is realized, improving the efficiency of ecological restoration scheme formulation for mining wasteland and enhancing the systematicness and engineering feasibility of restoration schemes. Attached Figure Description

[0020] The invention will be further understood from the following description taken in conjunction with the accompanying drawings. The components in the drawings are not necessarily drawn to scale, but rather the emphasis is on illustrating the principles of the embodiments. In different views, the same reference numerals designate corresponding parts.

[0021] Figure 1 This is a schematic diagram of the overall modules of the present invention.

[0022] Figure 2 This is a schematic diagram of the workflow of the natural condition adaptation analysis module of the present invention.

[0023] Figure 3 This is a schematic diagram of the workflow of the social demand analysis module of the present invention.

[0024] Figure 4 This is a schematic diagram of the workflow of the partition decision module of the present invention.

[0025] Figure 5 This is a schematic diagram comparing the system of this invention with the traditional system in terms of key indicators.

[0026] Figure 6 This diagram illustrates the improvement of the system of the present invention in various key indicators compared to the traditional system. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to its embodiments. It should be understood that the specific embodiments described herein are only for explaining the present invention and are not intended to limit the present invention. Other systems, methods, and / or features of this embodiment will become apparent to those skilled in the art after reviewing the following detailed description. It is intended that all such additional systems, methods, features, and advantages are included within this specification, are included within the scope of the present invention, and are protected by the appended claims. Further features of the disclosed embodiments are described in the following detailed description, and these features will be apparent from the following detailed description.

[0028] In the accompanying drawings of the embodiments of the present invention, the same or similar reference numerals correspond to the same or similar components. In the description of the present invention, it should be understood that if terms such as "upper," "lower," "left," "right," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, they are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or component referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, the terms used to describe positional relationships in the drawings are only for illustrative purposes and should not be construed as limiting the present invention. For those skilled in the art, the specific meaning of the above terms can be understood according to the specific circumstances.

[0029] Example 1:

[0030] like Figure 1 , Figure 2 , Figure 3 , Figure 4As shown in the figure, this embodiment provides an integrated restoration system for ecological reconstruction and multifunctional land regeneration of abandoned mining sites. The system includes a terrain structure analysis module, a natural condition adaptation analysis module, a social demand analysis module, a functional adaptation calculation module, a zoning decision module, and a restoration path generation module. The terrain structure analysis module is used to obtain the structural characteristic parameters of the abandoned mining area and divide the abandoned mining area into multiple restoration units. The natural condition adaptation analysis module is used to analyze the natural condition adaptation degree of each restoration unit according to the restoration difficulty of different land function types corresponding to each restoration unit. The social demand analysis module is used to analyze the social demand degree of each restoration unit for each land function type according to the social demand conditions of the restoration units. The functional adaptation calculation module is used to calculate the comprehensive functional adaptation degree of each restoration unit corresponding to different land function types by integrating the natural condition adaptation degree and the social demand degree. The zoning decision module is used to determine the optimal land regeneration functional zoning type of each restoration unit according to the comprehensive functional adaptation degree and functional competition relationship. The restoration path generation module is used to generate corresponding ecological restoration implementation path schemes for abandoned mining sites based on the land regeneration functional zoning results.

[0031] The terrain structure analysis module includes a 3D terrain modeling unit, a damage structure identification unit, and a repair unit division unit. The 3D terrain modeling unit acquires basic terrain data of the abandoned mining area and constructs a 3D terrain model of the mining area based on this data. The basic terrain data includes DEM data, remote sensing image data, and UAV point cloud data. The damage structure identification unit identifies typical damage structures in the abandoned mining area based on the 3D terrain model and extracts structural feature parameters of these typical damage structures. These structural feature parameters include, but are not limited to, damage structure type, slope parameters, elevation difference parameters, bare rock ratio parameters, and slope stability parameters. The repair unit division unit divides the abandoned mining area into multiple repair units based on terrain structure segmentation conditions. These terrain structure segmentation conditions include terrain structure continuity, slope change boundaries, pit boundaries, and hydrological zoning boundaries.

[0032] Specifically, the types of damaged structures identified by the damaged structure identification unit include, but are not limited to, typical mining pit structures, slope structures, platform structures, and spoil heap structures.

[0033] The natural condition adaptation analysis module includes an adaptation condition analysis unit and an adaptation result output unit. The adaptation condition analysis unit is used to analyze the natural constraint intensity of each restoration unit in combination with the natural constraint conditions of each restoration unit corresponding to different land function types, and to calculate the natural condition adaptation degree of each restoration unit corresponding to different land function types in combination with the engineering transformation capacity. The adaptation result output unit is used to output the natural condition adaptation degree matrix of each restoration unit corresponding to different land function types.

[0034] Furthermore, the natural condition adaptation analysis module calculates the natural condition adaptation degree of each remediation unit for various land function types in the following manner:

[0035] ;

[0036] in, For the first The repair unit corresponds to the first The suitability of natural conditions for land use types; For the first The repair unit corresponds to the first The natural constraint condition parameter values ​​are determined based on the structural feature parameters extracted by the terrain structure analysis module. For the first The first land function type corresponding to the The optimal fit value of the natural constraint condition parameter is determined based on land consolidation technical specifications, ecological restoration engineering experience data, or regional historical restoration statistics. For the first The first land function type corresponding to the The allowable deviation range of the natural constraint parameter is used to characterize the adaptability range of the natural constraint parameter, and is determined based on the historical regional ecological restoration experience range or statistical data of similar ecological restoration projects. The number of natural constraint parameter types involved in the calculation; For the first The repair unit corresponds to the first The engineering breakthrough coefficient of the natural constraint parameter is used to characterize the degree to which the engineering modification capability weakens the strength of the natural constraint. For the first The repair unit corresponding to the first The parameter values ​​for hard constraints, whereby hard constraints are the necessary natural conditions that satisfy the requirements for restoring the target land function type; For the first The first land function type corresponding to the The allowed range of values ​​for hard constraint parameters. This is a hard constraint judgment function used to determine the first... The repair unit corresponds to the first The function value is set to 1 if the land use type meets the preset hard constraints, and 0 otherwise. satisfy:

[0037] ;

[0038] in, For the first The repair unit corresponds to the first The engineering modification capability index value of the natural constraint parameter is used to characterize the adjustable range of the engineering measures for the natural constraint parameter. The engineering modification capability index value is determined according to the repair engineering design scheme, including the range by which slope cutting engineering can reduce the slope, the range by which soil covering engineering can increase the soil covering thickness, or the range by which support engineering can improve the slope stability coefficient. For the first The repair unit corresponds to the first The natural constraint intensity index value of the natural constraint condition parameter is used to characterize the deviation of the natural constraint condition parameter from the boundary value of the allowable range of the target land function type. The natural constraint intensity index value is calculated based on the difference between the structural characteristic parameter value and the boundary value of the allowable range of the target land function type.

[0039] Furthermore, the adaptation result output unit constructs a natural condition adaptation matrix based on the natural condition adaptation calculation results of each repair unit corresponding to different land function types and outputs it to the subsequent modules for processing.

[0040] This scheme introduces an engineering breakthrough coefficient, extending the traditional static natural adaptation model that evaluates solely based on natural conditions into a dynamic natural adaptation model that considers the impact of engineering modification capabilities. This enables land function adaptation analysis in abandoned mining areas to simultaneously reflect the synergistic relationship between natural constraints and engineering restoration capabilities, thereby improving the accuracy and feasibility of land regeneration functional zoning results.

[0041] Example 2:

[0042] This embodiment should be understood to include at least all the features of any of the foregoing embodiments, and to further improve upon them;

[0043] This embodiment provides an integrated restoration system for ecological reconstruction and multifunctional land regeneration of abandoned mining sites. The system includes a terrain structure analysis module, a natural condition adaptation analysis module, a social demand analysis module, a functional adaptation calculation module, a zoning decision module, and a restoration path generation module. The terrain structure analysis module acquires structural characteristic parameters of the abandoned mining area and divides it into multiple restoration units. The natural condition adaptation analysis module analyzes the natural condition adaptability of each restoration unit based on the restoration difficulty of different land function types. The social demand analysis module analyzes the social demand of each restoration unit for each land function type based on the social demand conditions of the restoration units. The functional adaptation calculation module integrates the natural condition adaptability and social demand to calculate the comprehensive functional adaptability of each restoration unit for different land function types. The zoning decision module determines the optimal land regeneration functional zoning type for each restoration unit based on the comprehensive functional adaptability and functional competition relationship. The restoration path generation module generates corresponding ecological restoration implementation path schemes for abandoned mining sites based on the land regeneration functional zoning results.

[0044] Furthermore, the social demand analysis module includes a demand condition identification unit, a demand intensity calculation unit, and a demand result output unit. The demand condition identification unit is used to identify the social demand source information of the area surrounding the restoration unit. The social demand source information includes, but is not limited to, information on the distribution of residential areas, the distribution of transportation facilities, industrial layout, and regional planning demand. The demand intensity calculation unit is used to calculate the social demand degree corresponding to different land function types for each restoration unit based on the social demand source information. The demand result output unit is used to output the social demand degree matrix corresponding to different land function types for each restoration unit.

[0045] Furthermore, the demand intensity calculation unit completes the calculation of the social demand for various land function types by the remediation unit in the following manner:

[0046] ;

[0047] in, For the first The repair unit corresponds to the first Social demand for land use types; For the first The source of social demand corresponds to the first The demand intensity index value for land function type is obtained by weighted calculation after normalization based on population density data, industrial agglomeration data and territorial spatial planning functional level data of the area corresponding to the social demand source point. For the first The repair unit and the first The spatial distance between the sources of social demand is obtained through GIS spatial analysis and calculation. The distance decay index is used to characterize the degree of decay of the influence of different types of social demand sources on land function type demand as distance changes. The distance decay index is determined by fitting spatial correlation analysis based on the spatial service radius of the social demand source point and historical land use change statistics. The distance exponential decay coefficient is used to correct the degree of demand impact during the long-distance demand propagation process. The distance exponential decay coefficient is determined by comprehensive calculation based on the scale level of social demand source points, service range level, and regional transportation accessibility analysis results. The number of social demand source points participating in the calculation is obtained by extracting social demand source information, including but not limited to residential area nodes, industrial functional zone nodes, public service facility nodes, and land spatial planning functional zone nodes;

[0048] This scheme incorporates social driving factors such as regional population distribution, industrial layout, and spatial planning needs into land function adaptation analysis, enabling the land regeneration functional zoning results to simultaneously reflect ecological restoration needs and regional development needs, thereby improving the practical applicability and planning coordination of the zoning results.

[0049] Furthermore, the demand result output unit constructs a social demand matrix based on the social demand calculation results of each repair unit corresponding to different land function types and outputs it to subsequent modules for processing;

[0050] Furthermore, the functional adaptation calculation module includes an adaptation fusion calculation unit and an adaptation result output unit; the adaptation fusion calculation unit is used to calculate the comprehensive functional adaptation degree of each restoration unit corresponding to different land function types based on the natural condition adaptation degree and social demand degree of each restoration unit corresponding to different land function types; the adaptation result output unit is used to output the comprehensive functional adaptation matrix of each restoration unit corresponding to different land function types.

[0051] Furthermore, the functional adaptation calculation module calculates the overall functional adaptation degree of each repair unit in the following manner:

[0052] ;

[0053] in, For the first The repair unit corresponds to the first The degree of comprehensive functional adaptation of land use types; These are the weighting coefficients for natural condition constraints. The social demand-driven weight coefficient and the natural condition constraint weight coefficient are used to characterize the degree of influence of natural condition constraints on the land function adaptability, and the social demand-driven weight coefficient is used to characterize the degree of influence of social demand factors on the land function adaptability; the natural condition constraint weight coefficient and the social demand-driven weight coefficient are predetermined based on the ecological protection priority level of the mining wasteland area, the land use planning orientation and the regional development stage.

[0054] Furthermore, the adaptation result output unit constructs a comprehensive function adaptation matrix based on the comprehensive function adaptation degree calculation results of each repair unit corresponding to different land function types, and outputs it to the zoning decision module as the input basis for determining the land regeneration function zoning type.

[0055] Furthermore, the zoning decision module includes a competition relationship analysis unit, an adaptation correction calculation unit, and a zoning type determination unit. The competition relationship analysis unit is used to analyze the functional competition relationship between different land function types based on the comprehensive functional adaptation degree of each restoration unit corresponding to different land function types, and calculate the functional competition coordination coefficient of each restoration unit corresponding to different land function types. The adaptation correction calculation unit is used to correct the comprehensive functional adaptation degree of each restoration unit corresponding to different land function types based on the functional competition coordination coefficient, and obtain the comprehensive functional adaptation degree after competition coordination. The zoning type determination unit is used to determine the optimal land regeneration functional zoning type corresponding to each restoration unit based on the comprehensive functional adaptation degree after competition coordination and the preset zoning judgment rules.

[0056] Furthermore, the competition relationship analysis unit calculates the functional competition coordination coefficients for each remediation unit corresponding to different land function types in the following manner:

[0057] ;

[0058] in, For the first The repair unit corresponds to the first Functional competition coordination coefficient of land function type For the first The repair unit corresponds to the first The degree of comprehensive functional adaptation of land use types This represents the total number of land use types.

[0059] Furthermore, the adaptation correction calculation unit calculates the overall functional adaptation degree after competition coordination in the following manner:

[0060] ;

[0061] in, For the first The repair unit corresponds to the first The degree of comprehensive functional adaptation after competition and coordination among land use types;

[0062] Furthermore, the zoning type determination unit determines the land regeneration function zoning type based on the comprehensive functional adaptability after competition and coordination; for the first Each restoration unit is defined as having a comprehensive functional adaptability after competition and coordination among its corresponding land function types. ,in Number the land function type; set The land function type number corresponding to the degree of comprehensive functional adaptation after maximum competition coordination;

[0063] When the following conditions are met: ,and For any When all conditions are met, the restoration unit is determined to be a single-function dominant zone, and the land function type corresponding to the comprehensive functional adaptation degree after the maximum competition coordination is determined as the target land regeneration function type of the restoration unit.

[0064] When there is at least one satisfy and At this point, the repair unit is determined to be a composite functional co-partition, and all those that meet the requirements are... and The land function types are jointly determined as the composite land regeneration function combination type of this restoration unit;

[0065] When satisfied At this point, the repair unit is designated as a natural recovery transition zone;

[0066] Furthermore, the restoration path generation module includes a restoration strategy matching unit and a restoration path output unit; the restoration strategy matching unit is used to match the corresponding ecological restoration implementation strategy according to the land regeneration functional zoning type corresponding to each restoration unit, and generate a corresponding restoration engineering measure combination scheme; the restoration path output unit is used to generate a sequence of ecological restoration implementation paths for mining wasteland according to the restoration engineering measure combination scheme, and output the restoration path scheme corresponding to each restoration unit.

[0067] Specifically, the combination of restoration engineering measures is determined based on the functional restoration goals and restoration implementation requirements corresponding to different land regeneration functional zoning types, including one or more combinations of topographic remediation measures, soil covering and improvement measures, hydrological control measures and vegetation restoration measures;

[0068] This scheme establishes an integrated analysis mechanism that combines natural condition constraint analysis, social demand-driven analysis, functional adaptation and collaborative calculation, and competitive coordination zoning decision-making. This mechanism enables the transformation of functional zoning for land regeneration in mining wastelands from static single-factor evaluation to multi-factor collaborative dynamic decision-making, thereby improving the accuracy, coordination, and feasibility of functional zoning results.

[0069] Example 3:

[0070] This embodiment should be understood to include at least all the features of any of the foregoing embodiments, and to further improve upon them;

[0071] This embodiment provides an integrated restoration system for ecological reconstruction and multifunctional land regeneration of abandoned mining areas. A typical open-pit and spoil heap complex of abandoned mining areas, covering approximately 2.4 square kilometers, was selected as the experimental area. The study area was spatially gridded to obtain 126 restoration units. The area of ​​each restoration unit was controlled within the range of 1.5 to 3 hectares to improve spatial analysis accuracy while also considering engineering construction efficiency. The terrain structure analysis module uses UAV laser point cloud data with a spatial resolution of 0.5 meters and DEM data with a spatial resolution of 2 meters to fuse and model the three-dimensional terrain of the mining area. A slope threshold classification method was used to identify areas with slopes greater than 28 degrees as high-risk slope structures, areas with elevation differences exceeding 12 meters as typical pit structures, areas with bare rock ratios exceeding 65% as priority areas for soil covering and restoration, and areas with slope stability coefficients below 1.15 as priority areas for reinforcement and treatment. Based on these criteria, the restoration units were divided.

[0072] Furthermore, the natural condition adaptation analysis module establishes natural constraint adaptation parameter systems for forest land restoration function type, agricultural use function type, landscape recreation function type, and comprehensive development and utilization function type, respectively. It selects a slope range of 8 to 25 degrees as the preferred range for agricultural use, a soil cover thickness greater than 0.8 meters as the basic condition for vegetation restoration, and a slope stability coefficient greater than 1.20 as the safety condition for landscape facility construction. At the same time, it combines the slope shaping engineering capacity to reduce the slope by 5 to 12 degrees, the soil cover engineering capacity to increase the soil cover thickness by 0.5 to 1.8 meters, and the anchoring support engineering capacity to improve the slope stability coefficient by 0.08 to 0.25 to conduct a natural condition adaptation capability correction analysis, thereby forming a natural condition adaptation matrix for each restoration unit corresponding to different land function types.

[0073] Furthermore, the social demand analysis module identifies 11 residential cluster nodes, 4 industrial functional zone nodes, 6 public service facility nodes, and 5 regional planning control nodes within a 3-kilometer radius of the study area using spatial accessibility analysis. It also calculates the average access time from each restoration unit to these social demand source nodes using transportation network time cost analysis, controlling it to be between 6 and 28 minutes. Simultaneously, it comprehensively determines the social demand degree matrix by combining regional population density change trends, industrial land growth rate, and changes in public service demand levels. Specifically, the weight of residential cluster nodes for landscape and recreational function demand is set between 0.35 and 0.48, the weight of industrial functional zone nodes for construction and utilization function demand is set between 0.42 and 0.57, and the weight of public service facility nodes for comprehensive utilization function demand is set between 0.31 and 0.45.

[0074] Furthermore, the functional adaptation calculation module integrates the natural condition adaptation matrix and the social demand matrix to form a comprehensive functional adaptation matrix, and sets the natural condition constraint weight coefficient to 0.58 and the social demand driving weight coefficient to 0.42 according to the priority level of regional ecological protection, thereby forming a comprehensive functional adaptation ranking result for each restoration unit corresponding to different land function types.

[0075] Furthermore, the zoning decision module identifies the competitive relationship between different land function types through the functional competition coordination analysis method, and sorts and determines the comprehensive functional adaptation results after competition coordination. Among them, a total of 64 single-function dominant zoning repair units, 38 composite function collaborative zoning repair units, and 24 natural restoration transition zoning repair units are identified, thereby forming a complete land regeneration functional spatial layout structure.

[0076] Furthermore, the restoration path generation module automatically matches restoration engineering measures combination schemes based on the zoning type results. For single-function dominant zoning, the combination path of slope cutting and shaping engineering, soil covering and improvement engineering and vegetation restoration engineering is implemented first. For multi-functional collaborative zoning, the combination path of platform shaping engineering, drainage control engineering and landscape facility construction engineering is implemented first. For natural restoration transition zoning, the combination path of ecological enclosure measures and natural succession promotion measures is implemented first. The restoration implementation order is determined according to the engineering construction dependency relationship to form a restoration path implementation sequence.

[0077] Furthermore, such as Figure 5 , Figure 6As shown, a comparative experiment was conducted using the traditional single natural condition evaluation method as a comparison scheme under the same study area conditions. The traditional method only evaluates the functional suitability based on slope conditions, soil cover thickness conditions, and slope stability coefficient conditions, and uses the maximum suitability determination method for land functional zoning. The experimental results show that the spatial matching degree between the land regeneration functional zoning results identified by the system scheme described in this embodiment and the actual engineering implementation suitability evaluation results reaches 84.6%, while the spatial matching degree of the traditional natural condition evaluation method is 61.3%, improving the matching accuracy by 23.3%. At the same time, the restoration path scheme generated by the system scheme in this embodiment reduces the number of repeated adjustments of engineering measures by 41.2% during actual engineering implementation, reduces the average restoration cost per unit area by 17.8%, shortens the restoration project implementation cycle by 21.5%, and increases the regional vegetation coverage rate by 32.4%, while the vegetation coverage rate of the traditional scheme increases by 18.6%. The regional soil erosion intensity index decreases by 29.7%, which is significantly better than the 12.3% of the traditional scheme. This verifies that the system scheme in this embodiment can significantly improve the scientificity, coordination, and engineering implementation efficiency of the ecological restoration scheme for mining wasteland.

[0078] Furthermore, under different application conditions, the three-dimensional terrain modeling unit can also use airborne lidar data instead of UAV point cloud data, the social demand source information can also use mobile terminal signaling data or spatial point of interest data instead of traditional planning node data, and the restoration unit division method can also use regular grid division method or hydrological unit division method instead of structural boundary division method, so as to adapt to ecological restoration application scenarios of mine wasteland of different scales, thereby further improving the system's adaptability and the scope of engineering promotion and application.

[0079] The content disclosed above is only a preferred and feasible embodiment of the present invention, and is not intended to limit the scope of protection of the present invention. Therefore, all equivalent technical changes made based on the content of the present invention specification and drawings are included within the scope of protection of the present invention. Furthermore, the elements therein can be updated as technology develops.

Claims

1. A multifunctional integrated restoration system for ecological reconstruction and land regeneration of abandoned mining sites, characterized in that, The system includes a terrain structure analysis module, a natural condition adaptation analysis module, a social demand analysis module, a function adaptation calculation module, a zoning decision module, and a restoration path generation module; the terrain structure analysis module is used to obtain the structural characteristic parameters of the abandoned mining area and divide the abandoned mining area into multiple restoration units; The natural condition adaptation analysis module is used to analyze the natural condition adaptation degree of each restoration unit based on the restoration difficulty of each restoration unit corresponding to different land function types; the social demand analysis module is used to analyze the social demand degree of each restoration unit for each land function type based on the social demand conditions of the restoration unit. The functional adaptation calculation module is used to integrate the natural condition adaptability and social demand to calculate the comprehensive functional adaptability of each restoration unit to different land function types. The zoning decision module is used to determine the optimal land regeneration functional zoning type for each restoration unit based on the degree of comprehensive functional adaptation and functional competition; the restoration path generation module is used to generate corresponding ecological restoration implementation path schemes for mine wasteland based on the land regeneration functional zoning results. The terrain structure analysis module includes a three-dimensional terrain modeling unit, a damaged structure identification unit, and a repair unit division unit; The three-dimensional terrain modeling unit is used to acquire basic terrain data of the abandoned mining area and construct a three-dimensional terrain model of the mining area based on the basic terrain data; the damage structure identification unit is used to identify typical damage structures of the abandoned mining area based on the three-dimensional terrain model of the mining area and extract structural feature parameters of typical damage structures; the repair unit division unit is used to divide the abandoned mining area into multiple repair units according to the terrain structure segmentation conditions of the abandoned mining area.

2. The integrated ecological reconstruction and multifunctional land regeneration system for abandoned mining sites according to claim 1, characterized in that, The natural condition adaptation analysis module includes an adaptation condition analysis unit and an adaptation result output unit. The adaptation condition analysis unit is used to analyze the natural constraint intensity of each restoration unit in combination with the natural constraint conditions of each restoration unit corresponding to different land function types, and to calculate the natural condition adaptation degree of each restoration unit corresponding to different land function types in combination with the engineering transformation capacity. The adaptation result output unit is used to output the natural condition adaptation degree matrix of each restoration unit corresponding to different land function types.

3. The integrated ecological reconstruction and multifunctional land regeneration system for abandoned mining sites according to claim 2, characterized in that, The adaptation condition analysis unit calculates the adaptation degree of each remediation unit to the natural conditions of various land function types in the following ways: ; in, For the first The repair unit corresponds to the first The degree of natural condition suitability of land use type; For the first The repair unit corresponds to the first The natural constraint condition parameter values ​​are determined based on the structural feature parameters extracted by the terrain structure analysis module. For the first The first land function type corresponding to the The optimal fit value of the natural constraint parameter; For the first The first land function type corresponding to the The allowable deviation range of the natural constraint parameter is used to characterize the adaptability range of the natural constraint parameter. The number of natural constraint parameter types involved in the calculation; For the first The repair unit corresponds to the first The engineering breakthrough coefficient of the natural constraint parameter is used to characterize the degree to which the engineering modification capability weakens the strength of the natural constraint. For the first The repair unit corresponding to the first The parameter values ​​for hard constraints, whereby hard constraints are the necessary natural conditions that satisfy the requirements for restoring the target land function type; For the first The first land function type corresponding to the The allowed range of values ​​for hard constraint parameters. This is a hard constraint judgment function used to determine the first... The repair unit corresponds to the first Whether the land use type meets the preset hard constraints. If the preset hard constraints are met, the function value is 1; otherwise, the function value is 0.

4. The integrated ecological reconstruction and multifunctional land regeneration system for abandoned mining sites according to claim 1, characterized in that, The social demand analysis module includes a demand condition identification unit, a demand intensity calculation unit, and a demand result output unit. The demand condition identification unit is used to identify the source information of social demand in the area surrounding the repair unit; The demand intensity calculation unit is used to calculate the social demand degree of each restoration unit corresponding to different land function types based on the social demand source information. The demand result output unit is used to output the social demand degree matrix corresponding to different land function types for each repair unit.

5. The integrated ecological reconstruction and multifunctional land regeneration system for abandoned mining sites according to claim 1, characterized in that, The functional adaptation calculation module includes an adaptation fusion calculation unit and an adaptation result output unit; the adaptation fusion calculation unit is used to calculate the comprehensive functional adaptation degree of each restoration unit corresponding to different land function types based on the natural condition adaptation degree and social demand degree of each restoration unit corresponding to different land function types; the adaptation result output unit is used to output the comprehensive functional adaptation matrix of each restoration unit corresponding to different land function types.

6. The integrated ecological reconstruction and multifunctional land regeneration system for abandoned mining sites according to claim 1, characterized in that, The zoning decision module includes a competition relationship analysis unit, an adaptation correction calculation unit, and a zoning type determination unit. The competition relationship analysis unit is used to analyze the functional competition relationship between different land function types based on the comprehensive functional adaptation degree of each restoration unit corresponding to different land function types, and calculate the functional competition coordination coefficient of each restoration unit corresponding to different land function types. The adaptation correction calculation unit is used to correct the comprehensive functional adaptation degree of each restoration unit corresponding to different land function types based on the functional competition coordination coefficient, and obtain the comprehensive functional adaptation degree after competition coordination. The zoning type determination unit is used to determine the optimal land regeneration functional zoning type corresponding to each restoration unit based on the comprehensive functional adaptation degree after competition coordination and the preset zoning judgment rules.

7. The integrated ecological reconstruction and multifunctional land regeneration system for abandoned mining sites according to claim 1, characterized in that, The restoration path generation module includes a restoration strategy matching unit and a restoration path output unit; the restoration strategy matching unit is used to match the corresponding ecological restoration implementation strategy according to the land regeneration functional zoning type corresponding to each restoration unit, and generate a corresponding combination scheme of restoration engineering measures. The restoration path output unit is used to generate a sequence of ecological restoration implementation paths for abandoned mine sites based on the combination scheme of restoration engineering measures, and output the restoration path scheme corresponding to each restoration unit.

Citation Information

Patent Citations

  • Ecological restoration management evaluation system for surface mine

    CN121258720A