Multimodal-based Mine Ecological Restoration Management Method, System, Equipment and Medium

Abstract

The present invention discloses a multi-modal-based mine ecological restoration management method, system, device and medium, which relates to the technical field of data processing. It includes obtaining the mine surface area and geological information, planning multiple vibration detection points, dividing multiple sub-surface areas, obtaining a first preset time period, obtaining a first management time and a second management time, obtaining first remote sensing image data and first low-altitude image data, obtaining second remote sensing image data and second low-altitude image data, and obtaining vibration data; obtaining first vegetation coverage data, obtaining second vegetation coverage data, obtaining ecological degradation parameters, and obtaining vibration impact parameters; obtaining the restoration indicators corresponding to each sub-surface area according to the ecological degradation parameters and vibration impact parameters, and obtaining the ecological restoration strategies corresponding to each sub-surface area according to the restoration indicators corresponding to each sub-surface area. The present invention has the advantages of good analysis and decision-making effects, accuracy, reliability, comprehensiveness and stability.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly relates to a multi-modal based mine ecological restoration management method, system, device and medium. Background Art

[0002] In the processes of blasting, excavation, transportation, etc. during mine exploitation, not only the original topography and landforms are changed, but also the soil structure is damaged, resulting in a decrease in vegetation coverage, an aggravation of soil erosion, and even triggering of geological disasters such as landslides and mudslides; these environmental problems not only threaten the ecological security around the mine, but also affect the production and life of local residents, restricting the sustainable development of the regional economy. The current mine ecological restoration methods mainly focus on post-treatment and restoration, such as measures like land reclamation, vegetation reconstruction, and soil and water conservation. However, these methods often lack scientific and systematic planning and management, it is difficult to guarantee the restoration effect, and it is difficult to adapt to the differences in different mine geological environments and ecological damage degrees.

[0003] Specifically, the current mine ecological restoration management has these problems. First, the mine surface area is vast and the geological environment is complex and changeable. How to scientifically and reasonably divide management units to improve the effectiveness and pertinence of restoration management is an urgent problem to be solved; second, mine ecological restoration involves multiple aspects of data and information, such as geological information, vegetation coverage information, vibration information, etc. How to effectively integrate these data and information to achieve multi-modal restoration management is also a current challenge; finally, in the current mine ecological restoration management, often only the change in vegetation coverage is concerned, while the impact of the vibration factor caused by mining on ecological restoration is ignored. In fact, the vibration factor caused by mining is an important factor that cannot be ignored in mine ecological restoration. The vibration caused by mining may lead to geological disasters such as soil loosening and landslides, having an adverse impact on ecological restoration. Summary of the Invention

[0004] Aiming at the defects in the prior art, the present invention provides a multi-modal based mine ecological restoration management method, system, device and medium.

[0005] A multi-modal based mine ecological restoration management method, comprising: obtaining a mine surface area and its corresponding geological information, planning a plurality of vibration detection points according to the geological information of the mine surface area, and dividing the mine surface area into a plurality of sub-surface areas according to the positions of the plurality of vibration detection points, wherein there is one and only one vibration detection point in each sub-surface area; obtaining a first preset time period according to the geological information of the mine surface area, obtaining a first management moment and a second management moment at an interval of the first preset time period, obtaining first remote sensing image data and first low-altitude image data of the mine surface area at the first management moment, obtaining second remote sensing image data and second low-altitude image data of the mine surface area at the second management moment, and obtaining vibration data corresponding to each sub-surface area between the first management moment and the second management moment; obtaining first vegetation coverage data corresponding to each sub-surface area according to the first remote sensing image data and the second remote sensing image data, obtaining second vegetation coverage data corresponding to each sub-surface area according to the first low-altitude image data and the second low-altitude image data, obtaining ecological degradation parameters corresponding to each sub-surface area based on a first parameter model, the first vegetation coverage data and the second vegetation coverage data corresponding to each sub-surface area, and obtaining vibration impact parameters corresponding to each sub-surface area based on a second parameter model and the vibration data corresponding to each sub-surface area; obtaining repair indicators corresponding to each sub-surface area according to the ecological degradation parameters and the vibration impact parameters corresponding to each sub-surface area, and obtaining ecological restoration strategies corresponding to each sub-surface area according to the repair indicators corresponding to each sub-surface area.

[0006] Optionally, obtaining ecological restoration strategies corresponding to each sub-surface area according to the repair indicators corresponding to each sub-surface area includes: obtaining a plurality of index ranges, wherein the plurality of index ranges respectively correspond to different ecological restoration strategies; obtaining the index range to which the repair indicator corresponding to each sub-surface area belongs, and determining the ecological restoration strategy corresponding to each sub-surface area according to the index range to which each sub-surface area belongs.

[0007] Optionally, obtaining the first vegetation coverage data corresponding to each sub-surface area based on the first remote sensing image data and the second remote sensing image data includes: obtaining a first remote sensing pixel map and a second remote sensing pixel map corresponding to the mine surface area based on the first remote sensing image data and the second remote sensing image data respectively; obtaining the first remote sensing vegetation pixel quantity corresponding to each sub-surface area according to each sub-surface area and the first remote sensing pixel map, and forming the vegetation coverage quantity of each sub-surface area in the first remote sensing image data according to the first remote sensing vegetation pixel quantity corresponding to each sub-surface area; obtaining the second remote sensing vegetation pixel quantity corresponding to each sub-surface area according to each sub-surface area and the second remote sensing pixel map, and forming the vegetation coverage quantity of each sub-surface area in the second remote sensing image data according to the second remote sensing vegetation pixel quantity corresponding to each sub-surface area; and constituting the first vegetation coverage data according to the vegetation coverage quantity of each sub-surface area in the first remote sensing image data and the vegetation coverage quantity of each sub-surface area in the second remote sensing image data.

[0008] Optionally, obtaining the second vegetation coverage data corresponding to each sub-surface area based on the first low-altitude image data and the second low-altitude image data includes: obtaining a first low-altitude pixel map and a second low-altitude pixel map corresponding to the mine surface area based on the first low-altitude image data and the second low-altitude image data respectively; obtaining the first low-altitude vegetation pixel quantity corresponding to each sub-surface area according to each sub-surface area and the first low-altitude pixel map, and forming the vegetation coverage quantity of each sub-surface area in the first low-altitude image data according to the first low-altitude vegetation pixel quantity corresponding to each sub-surface area; obtaining the second low-altitude vegetation pixel quantity corresponding to each sub-surface area according to each sub-surface area and the second low-altitude pixel map, and forming the vegetation coverage quantity of each sub-surface area in the second low-altitude image data according to the second low-altitude vegetation pixel quantity corresponding to each sub-surface area; and constituting the second vegetation coverage data according to the vegetation coverage quantity of each sub-surface area in the first low-altitude image data and the vegetation coverage quantity of each sub-surface area in the second low-altitude image data.

[0009] Optionally, the first parameter model for obtaining the ecological degradation parameter corresponding to each sub-surface area based on the first parameter model, the first vegetation coverage data and the second vegetation coverage data corresponding to each sub-surface area is expressed as: ; where is the ecological degradation parameter corresponding to the i-th sub-surface area, is the vegetation coverage quantity of the i-th sub-surface area in the first remote sensing image data, is the vegetation coverage quantity of the i-th sub-surface area in the second remote sensing image data, is the vegetation coverage quantity of the i-th sub-surface area in the first low-altitude image data, is the vegetation coverage quantity of the i-th sub-surface area in the second low-altitude image data.

[0010] Optionally, the second parameter model for obtaining the vibration influence parameter corresponding to each sub-surface area based on the second parameter model and the vibration data corresponding to each sub-surface area is expressed as: ; where is the vibration influence parameter corresponding to the i-th sub-surface area, is the number of acquisition segments evenly divided from the first preset time period, is the number of vibrations of the i-th sub-surface area in the j-th acquisition segment, is the length of the acquisition segment, is the effective vibration threshold.

[0011] Optionally, the repair index corresponding to each sub-surface area is obtained according to the ecological degradation parameter and the vibration influence parameter corresponding to each sub-surface area, which is expressed as: ; where is the repair index corresponding to the i-th sub-surface area, is the ecological weight, is the vibration weight, is the ecological degradation parameter corresponding to the i-th sub-surface area, is the vibration influence parameter corresponding to the i-th sub-surface area.

[0012] There is also provided a multi-modal based mine ecological restoration management system, which includes: a first acquisition module, configured to acquire the mine surface area and its corresponding geological information, plan a plurality of vibration detection points according to the geological information of the mine surface area, and divide the mine surface area into a plurality of sub-surface areas according to the positions of the plurality of vibration detection points, wherein there is exactly one vibration detection point in each sub-surface area; a second acquisition module, configured to acquire a first preset time period according to the geological information of the mine surface area, acquire a first management moment and a second management moment at an interval of the first preset time period, acquire first remote sensing image data and first low-altitude image data of the mine surface area at the first management moment, acquire second remote sensing image data and second low-altitude image data of the mine surface area at the second management moment, and acquire vibration data corresponding to each sub-surface area between the first management moment and the second management moment; a data analysis module, configured to acquire first vegetation coverage data corresponding to each sub-surface area according to the first remote sensing image data and the second remote sensing image data, acquire second vegetation coverage data corresponding to each sub-surface area according to the first low-altitude image data and the second low-altitude image data, acquire ecological degradation parameters corresponding to each sub-surface area based on a first parameter model, the first vegetation coverage data and the second vegetation coverage data corresponding to each sub-surface area, and acquire vibration impact parameters corresponding to each sub-surface area based on a second parameter model and the vibration data corresponding to each sub-surface area; a restoration management module, configured to acquire restoration indexes corresponding to each sub-surface area according to the ecological degradation parameters and the vibration impact parameters corresponding to each sub-surface area, and acquire ecological restoration strategies corresponding to each sub-surface area according to the restoration indexes corresponding to each sub-surface area.

[0013] There is also provided an electronic device, including: a memory, on which a computer program is stored; a processor, configured to execute the computer program in the memory to implement the above-mentioned multi-modal based mine ecological restoration management method.

[0014] There is also provided a non-transitory computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the above-mentioned multi-modal based mine ecological restoration management method is implemented.

[0015] The beneficial effects of the present invention are embodied in:

[0016] In the entire multimodal-based mine ecological restoration management method, by planning vibration detection points according to the geological information of the mine surface area and dividing the sub-surface areas accordingly, it ensures targeted monitoring and management for each sub-area, improving the effectiveness and pertinence of restoration management. This division method fully considers the complexity and variability of the geological environment, making data collection more accurate and providing a reliable basis for subsequent analysis and decision-making. Further, by dynamically adjusting the data collection cycle according to the geological information, it ensures the scientificity and rationality of data collection. By obtaining remote sensing image data, low-altitude image data, and real-time vibration data at different management times, the solution realizes comprehensive and accurate monitoring of the changes in the mine surface, providing rich data support for evaluating the degree of ecological degradation and the impact of vibrations. Further, by combining remote sensing image data and low-altitude image data, it improves the comprehensiveness and accuracy of vegetation cover data analysis, making the calculation of ecological degradation parameters more reliable. At the same time, it also considers the impact of vibration factors on ecological restoration. By calculating vibration impact parameters, it reveals the potential threats of mining vibrations to surface stability and the ecological restoration process, providing an important basis for formulating targeted ecological restoration strategies. Further, according to the ecological degradation parameters and vibration impact parameters of each sub-surface area, the solution comprehensively evaluates the ecological restoration needs and urgency of each area, determines the corresponding restoration indicators, and formulates personalized ecological restoration strategies accordingly. This strategy not only considers the changes in vegetation coverage but also takes into account various factors such as soil structure damage and geological disaster risks, making the ecological restoration work more comprehensive and effective. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for the description of the specific embodiments or the prior art. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn to scale.

[0018] Figure 1 It is a schematic diagram of the steps of the multimodal-based mine ecological restoration management method of the present invention;

[0019] Figure 2 It is a partial schematic diagram of step S4 in the multimodal-based mine ecological restoration management method of the present invention;

[0020] Figure 3 It is a partial schematic diagram of step S3 in the multimodal-based mine ecological restoration management method of the present invention;

[0021] Figure 4 It is another partial schematic diagram of step S3 in the multimodal-based mine ecological restoration management method of the present invention;

[0022] Figure 5 Block diagram of an electronic device shown in an embodiment of the present invention.

[0023] Reference numerals:

[0024] 700 - Electronic device, 701 - Processor, 702 - Memory, 703 - Multimedia component, 704 - I / O interface, 705 - Communication component. Detailed implementation manners

[0025] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Apparently, the described embodiments are some, but not all, of the embodiments of the present invention. The components of the embodiments of the present invention described and illustrated herein generally may be arranged and designed in a variety of different configurations.

[0026] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the claimed present invention, but merely represents selected embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the protection scope of the present invention.

[0027] It should be noted that: Similar reference numerals and letters denote similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. In addition, the terms "first", "second", etc. are only used for descriptive distinction and cannot be understood as indicating or implying relative importance.

[0028] As Figure 1 shown, a multi-modal based mine ecological restoration management method is provided, including:

[0029] S1. Obtain the mine surface area and its corresponding geological information, plan a plurality of vibration detection points according to the geological information of the mine surface area, and divide the mine surface area into a plurality of sub-surface areas according to the positions of the plurality of vibration detection points, wherein there is and only one vibration detection point in each sub-surface area;

[0030] S2. Obtain a first preset time period according to the geological information of the mine surface area, obtain a first management moment and a second management moment separated by the first preset time period, obtain first remote sensing image data and first low-altitude image data of the mine surface area at the first management moment, obtain second remote sensing image data and second low-altitude image data of the mine surface area at the second management moment, and obtain vibration data corresponding to each sub-surface area between the first management moment and the second management moment;

[0031] S3. Obtain the first vegetation cover data corresponding to each sub - surface area based on the first remote sensing image data and the second remote sensing image data, obtain the second vegetation cover data corresponding to each sub - surface area based on the first low - altitude image data and the second low - altitude image data, obtain the ecological degradation parameters corresponding to each sub - surface area based on the first parameter model, the first vegetation cover data and the second vegetation cover data corresponding to each sub - surface area, and obtain the vibration impact parameters corresponding to each sub - surface area based on the second parameter model and the vibration data corresponding to each sub - surface area;

[0032] S4. Obtain the repair indexes corresponding to each sub - surface area according to the ecological degradation parameters and the vibration impact parameters corresponding to each sub - surface area, and obtain the ecological restoration strategies corresponding to each sub - surface area according to the repair indexes corresponding to each sub - surface area.

[0033] In this embodiment, it should be noted that in S1, first, it is necessary to obtain the mine surface area and its corresponding geological information; this geological information may include, but is not limited to, the formation of the strata, the distribution of lithology, the characteristics of geological structures, and hydro - geological conditions, etc. These information are the basis for subsequent planning of vibration detection points and division of sub - surface areas. Then, according to this geological information, multiple vibration detection points are planned; the planning of vibration detection points fully considers the geological environment to ensure that the detection points can accurately reflect the vibration conditions of the mine surface. For example, in areas with active geological structures or soft rock layers, the distance between adjacent vibration detection points is relatively small to more comprehensively monitor the vibration changes in these areas. After planning the vibration detection points, the mine surface area is divided into multiple sub - surface areas according to the positions of these detection points; there is exactly one vibration detection point in each sub - surface area, which can not only ensure the coverage of vibration data in each sub - area but also avoid interference between detection points, improving the accuracy and effectiveness of data collection. For example, if the mine surface area is a rectangular area, it can be divided into several small rectangular or square sub - areas according to the geological information and the distribution of vibration detection points, and each sub - area contains a vibration detection point, thus realizing the comprehensive monitoring and management of the entire mine surface area.

[0034] In S2, first, a reasonable data collection period, that is, the first preset time period, needs to be determined according to the geological information of the mine surface area. The length of this time period will be comprehensively considered based on various factors such as the stability of the mine geological environment, the frequency of mining activities, and the requirements of ecological restoration. For example, in areas with relatively stable geological environments, less frequent mining activities, and smooth progress of ecological restoration, a relatively long time period can be set for data collection; while in areas with complex and changeable geological environments, frequent mining activities, and serious ecological damage, the time period for data collection needs to be shortened to more timely grasp the changes in the mine surface. Then, at the first management moment and the second management moment, the first remote sensing image data and the first low-altitude image data of the mine surface area, as well as the second remote sensing image data and the second low-altitude image data, are obtained respectively. These data are obtained through satellite remote sensing and unmanned aerial vehicle low-altitude collection technologies, and can comprehensively and accurately reflect the changes in vegetation coverage, topography, etc. of the mine surface at different time points. At the same time, between the first management moment and the second management moment, the vibration data corresponding to each sub-surface area are also obtained. These data are obtained through real-time monitoring of the previously planned vibration detection points and can reflect the vibration conditions of the mine surface during this time period. Through the collection of these data, a solid foundation is provided for calculating the ecological degradation parameters and vibration impact parameters in the follow-up.

[0035] In S3, based on the collected remote sensing image data, low-altitude image data, and vibration data, the ecological degradation parameters and vibration impact parameters of each sub-surface area are calculated. First, for the remote sensing image data, satellite remote sensing technology is used to obtain the image data of the mine surface area at different time points (the first management moment and the second management moment); these data are processed to form a remote sensing pixel map reflecting the vegetation coverage; by comparing the remote sensing pixel maps of the two time points, the changes in vegetation coverage of each sub-surface area can be analyzed, which is an important basis for evaluating the degree of ecological degradation. At the same time, for the low-altitude image data, unmanned aerial vehicles are used for low-altitude collection to obtain higher-resolution image data; these data are also processed to form low-altitude pixel maps for further refining the analysis of vegetation coverage, especially in detail areas that may not be accurately captured by the remote sensing image data; by combining the remote sensing image data and the low-altitude image data, more comprehensive and accurate vegetation coverage data can be obtained, providing a basis for calculating the ecological degradation parameters. On the other hand, for the vibration data, the previously planned vibration detection points are used to real-time monitor the vibration conditions of the mine surface; these data record the vibration frequency, amplitude, etc. of the mine surface during a specific time period and are an important basis for evaluating the impact of vibration on ecological restoration. By combining these vibration data with the vegetation coverage data, a more comprehensive understanding of the ecological conditions of the mine surface can be obtained, and the ecological degradation parameters and vibration impact parameters can be calculated accordingly.

[0036] For example, assume there is a surface area of a mine that has suffered relatively severe ecological damage during the mining process; at the first management moment, remote sensing image data and low-altitude image data of this area are obtained through satellite remote sensing and low-altitude drone acquisition technologies, and a pixel map reflecting the vegetation coverage is obtained after processing; at the second management moment, data collection is carried out again, and a new pixel map is obtained; by comparing the pixel maps at the two time points, it is found that the vegetation coverage in a certain sub-surface area has significantly decreased, indicating ecological degradation in this area. At the same time, the vibration data of this sub-surface area between the first management moment and the second management moment is also obtained, and the data shows that the vibration frequency in this area is relatively high during this period. Combining the vegetation coverage data and the vibration data, the ecological degradation parameters and vibration impact parameters of this sub-surface area can be calculated, and these parameters will be used for subsequent calculation of restoration indicators and formulation of ecological restoration strategies.

[0037] In S4, according to the ecological degradation parameters and vibration impact parameters corresponding to each sub-surface area, the restoration indicators for each sub-surface area are determined, and corresponding ecological restoration strategies are formulated accordingly. Specifically, first, a comprehensive analysis of the calculated ecological degradation parameters and vibration impact parameters is carried out, considering their comprehensive impact on the ecological conditions of the mine surface; the ecological degradation parameters reflect the ecological degradation situations such as changes in vegetation coverage and the degree of soil structure damage, while the vibration impact parameters reveal the potential threats of mining vibrations to surface stability and the ecological restoration process; by using these parameters, the ecological restoration needs and urgencies of each sub-surface area can be evaluated, so as to determine the corresponding restoration indicators. These restoration indicators provide a clear direction and quantitative goals for subsequent ecological restoration work.

[0038] For example, assume that in the surface area of a mine, there are three sub-surface areas A, B, and C. After the calculation in step S3, their respective ecological degradation parameters and vibration impact parameters are obtained. According to these parameters, it is found that the restoration indicator of area A is extremely high, belonging to a high erosion area, with a serious degree of ecological degradation, a significant decrease in vegetation coverage, serious damage to the soil structure, and a significant vibration impact, and there is a relatively high risk of geological disasters, belonging to a high erosion area. Therefore, in S4, a relatively strict ecological restoration strategy will be set for area A, such as adopting a comprehensive implementation method of microbial solidification, mixed seeding of drought-tolerant plants, and planting of hyperaccumulator plants to reduce the risk of geological disasters. The restoration indicator of area B is medium, belonging to a medium erosion area, and according to the corresponding ecological restoration strategy, such as adopting an implementation method of microbial solidification and mixed seeding of drought-tolerant plants, to reduce the risk of geological disasters. While the restoration indicator of area C is low, belonging to a low erosion area, and according to the corresponding ecological restoration strategy, such as adopting an implementation method of mixed seeding of drought-tolerant plants, to reduce the risk of geological disasters.

[0039] In summary, in the entire multi-modal based mine ecological restoration management method, first, by planning vibration detection points according to the geological information of the mine surface area and dividing the sub-surface areas accordingly, it ensures targeted monitoring and management for each sub-area, improves the effectiveness and pertinence of restoration management. This division method fully considers the complexity and variability of the geological environment, making data collection more accurate and providing a reliable basis for subsequent analysis and decision-making. Further, by dynamically adjusting the data collection cycle according to the geological information, it ensures the scientificity and rationality of data collection. By obtaining remote sensing image data, low-altitude image data, and real-time vibration data at different management times, the solution realizes comprehensive and accurate monitoring of the mine surface changes, providing rich data support for evaluating the degree of ecological degradation and the impact of vibrations. Further, by combining remote sensing image data and low-altitude image data, it improves the comprehensiveness and accuracy of vegetation cover data analysis, making the calculation of ecological degradation parameters more reliable. At the same time, it also considers the impact of vibration factors on ecological restoration. By calculating the vibration impact parameters, it reveals the potential threats of mining vibrations to surface stability and the ecological restoration process, providing an important basis for formulating targeted ecological restoration strategies. Further, according to the ecological degradation parameters and vibration impact parameters of each sub-surface area, the solution comprehensively evaluates the ecological restoration needs and urgency of each area, determines the corresponding restoration indicators, and formulates personalized ecological restoration strategies based on this. This strategy not only considers the changes in vegetation coverage, but also considers various factors such as soil structure damage and geological disaster risks, making the ecological restoration work more comprehensive and effective.

[0040] As Figure 2 shown, in one implementation, obtaining the ecological restoration strategies corresponding to each sub-surface area according to the restoration indicators corresponding to each sub-surface area in S4 includes:

[0041] S41. Obtain multiple index ranges, where the multiple index ranges respectively correspond to different ecological restoration strategies;

[0042] S42. Obtain the index range to which the restoration indicator corresponding to each sub-surface area belongs, and determine the ecological restoration strategy corresponding to each sub-surface area according to the index range to which each sub-surface area belongs.

[0043] In this embodiment, it should be noted that in S41, multiple index ranges need to be established first. These index ranges are scientifically set according to the restoration indexes of different mine surface areas in history and the corresponding ecological restoration requirements. Specifically, through in-depth analysis of historical data, the distribution of restoration indexes under different ecological degradation degrees and vibration effects can be understood, and then these indexes are divided into different intervals according to their numerical magnitudes or influence degrees, that is, index ranges. Each index range represents a specific ecological condition and requirement, and thus corresponds to different ecological restoration strategies. For example, an index range represents areas with extremely severe degradation. In these areas, the vegetation coverage is extremely low, the soil structure is severely damaged, and the vibration effect is significant, and the most powerful and comprehensive restoration measures need to be taken; while another index range may represent areas with mild degradation. In these areas, the ecological condition is relatively good, and only some relatively mild restoration strategies need to be taken. The setting of these index ranges is based on a full understanding of historical data and experience summary, aiming to provide clear guidance and reference for subsequent ecological restoration work.

[0044] In S42, the restoration indexes corresponding to each sub-surface area are compared with the pre-set index ranges to determine the index range to which each sub-surface area belongs. This process requires careful analysis of the restoration indexes of each sub-surface area, including ecological degradation parameters and vibration effect parameters, etc., and then compare them with the index ranges one by one to find the most suitable index range. Once the index range to which the sub-surface area belongs is determined, a specific restoration plan can be formulated according to the ecological restoration strategy corresponding to this range. For example, if the restoration indexes of a certain sub-surface area belong to the index range of extremely severe degradation, then comprehensive restoration strategies including microbial solidification, mixed seeding of drought-tolerant plants, and planting of hyperaccumulator plants will be adopted; while if the restoration indexes belong to the index range of mild degradation, perhaps only some simple vegetation restoration measures are needed. In this way, it can be ensured that each sub-surface area can obtain the most suitable restoration strategy for its ecological condition, thereby improving the effect and efficiency of ecological restoration.

[0045] As Figure 3 shown, in one embodiment, the first vegetation coverage data corresponding to each sub-surface area obtained in S3 according to the first remote sensing image data and the second remote sensing image data includes:

[0046] S31. Obtain the first remote sensing pixel map and the second remote sensing pixel map corresponding to the mine surface area according to the first remote sensing image data and the second remote sensing image data respectively;

[0047] S32. Obtain the first remote sensing vegetation pixel quantity corresponding to each sub - surface area according to each sub - surface area and the first remote sensing pixel map, and form the vegetation coverage quantity of each sub - surface area in the first remote sensing image data according to the first remote sensing vegetation pixel quantity corresponding to each sub - surface area;

[0048] S33. Obtain the second remote sensing vegetation pixel quantity corresponding to each sub - surface area according to each sub - surface area and the second remote sensing pixel map, and form the vegetation coverage quantity of each sub - surface area in the second remote sensing image data according to the second remote sensing vegetation pixel quantity corresponding to each sub - surface area;

[0049] S34. Construct the first vegetation coverage data according to the vegetation coverage quantity of each sub - surface area in the first remote sensing image data and the vegetation coverage quantity of each sub - surface area in the second remote sensing image data.

[0050] In this embodiment, it should be noted that in S31, first, it is necessary to start from the obtained first remote sensing image data and second remote sensing image data. These two sets of data respectively represent the remote sensing image information of the mine surface area at different management times (such as the first management time and the second management time). These remote sensing image data are usually obtained through satellite or aerial remote sensing technologies, and have the characteristics of high resolution and wide coverage range, and can clearly reflect surface vegetation, soil, terrain and other features, that is, the first remote sensing pixel map and the second remote sensing pixel map. Through these processes, the remote sensing pixel maps of the mine surface area at two time points can be obtained, providing a basis for subsequent analysis of vegetation coverage changes.

[0051] In S32, overlay and match each already - divided sub - surface area with the first remote sensing pixel map to determine the vegetation coverage of each sub - surface area at the first management time. This process requires the use of technical means such as geographic information system (GIS). Align the boundaries of the sub - surface areas with the remote sensing pixel map precisely, and then count the number of vegetation pixels in each sub - surface area, that is, the first remote sensing vegetation pixel quantity. These vegetation pixel quantities reflect the coverage degree and density of vegetation in the area, and are one of the important indicators for evaluating the degree of ecological degradation. According to the first remote sensing vegetation pixel quantity corresponding to each sub - surface area, a dataset of the vegetation coverage quantity of each sub - surface area in the first remote sensing image data can be formed, and this dataset provides key information for subsequent calculation of ecological degradation parameters.

[0052] S33 is similar to S32, but it targets the remote sensing image data at the second management time. In this step, each sub-surface area is overlaid and matched with the second remote sensing pixel map to determine the vegetation coverage of each sub-surface area at the second management time. Also using technical means such as GIS, the boundaries of the sub-surface areas are precisely aligned with the remote sensing pixel map, and the number of vegetation pixels within each sub-surface area is counted, which is the second remote sensing vegetation pixel quantity. These vegetation pixel quantities reflect the vegetation coverage degree and density of the area at the second management time. Compared with the data at the first management time, it can reveal the changes in vegetation coverage. According to the second remote sensing vegetation pixel quantities corresponding to each sub-surface area, a vegetation coverage quantity dataset for each sub-surface area in the second remote sensing image data is formed, providing key information at another time point for subsequent analysis of vegetation coverage changes.

[0053] In S34, the vegetation coverage quantities of each sub-surface area in the first remote sensing image data and the vegetation coverage quantities of each sub-surface area in the second remote sensing image data are integrated to form the first vegetation coverage data.

[0054] As Figure 4 shown, in one embodiment, obtaining the second vegetation coverage data corresponding to each sub-surface area in S3 based on the first low-altitude image data and the second low-altitude image data includes:

[0055] S35. Obtain the first low-altitude pixel map and the second low-altitude pixel map corresponding to the mine surface area based on the first low-altitude image data and the second low-altitude image data respectively;

[0056] S36. Obtain the first low-altitude vegetation pixel quantity corresponding to each sub-surface area based on each sub-surface area and the first low-altitude pixel map, and form the vegetation coverage quantity of each sub-surface area in the first low-altitude image data according to the first low-altitude vegetation pixel quantities corresponding to each sub-surface area;

[0057] S37. Obtain the second low-altitude vegetation pixel quantity corresponding to each sub-surface area based on each sub-surface area and the second low-altitude pixel map, and form the vegetation coverage quantity of each sub-surface area in the second low-altitude image data according to the second low-altitude vegetation pixel quantities corresponding to each sub-surface area;

[0058] S38. Form the second vegetation coverage data according to the vegetation coverage quantities of each sub-surface area in the first low-altitude image data and the vegetation coverage quantities of each sub-surface area in the second low-altitude image data.

[0059] In this embodiment, it should be noted that in S35, the first low-altitude image data and the second low-altitude image data obtained by using the low-altitude acquisition technology of drones are used to generate the first low-altitude pixel map and the second low-altitude pixel map corresponding to the mine surface area. These data are collected at different management times (such as the first management time and the second management time), and can provide higher-resolution surface information; the high-precision camera carried by the drone can capture surface details, among which the distribution, density of vegetation and terrain changes are relatively more detailed. Converting these image data into digital pixel maps is an important basis for subsequent analysis of vegetation coverage changes.

[0060] In S36, each sub-surface area is accurately aligned and overlaid with the first low-altitude pixel map to calculate the low-altitude vegetation pixel amount of each sub-surface area at the first management time. This process requires the use of geographic information system (GIS) software. Through the spatial analysis function, the total number of vegetation pixels in each sub-surface area can be counted. These vegetation pixel amounts directly reflect the vegetation coverage degree and density of the area at the first management time. For example, if the vegetation pixel amount of a sub-surface area is very high, it indicates that the vegetation coverage of this area is good; on the contrary, if the vegetation pixel amount is low, it may indicate that the vegetation coverage of this area is poor or there is a degradation phenomenon. According to these vegetation pixel amounts, a vegetation coverage amount data set of each sub-surface area in the first low-altitude image data can be formed, providing a key basis for subsequent calculation of ecological degradation parameters.

[0061] S37 is similar to S36, but it is for the low-altitude image data at the second management time. In this step, each sub-surface area is aligned and overlaid with the second low-altitude pixel map to calculate the low-altitude vegetation pixel amount of each sub-surface area at the second management time. Similarly, using the spatial analysis function of (GIS) software, the total number of vegetation pixels in each sub-surface area can be counted, and a vegetation coverage amount data set of each sub-surface area in the second low-altitude image data can be formed. By comparing the vegetation coverage amount data sets at the first management time and the second management time, the change situation of the vegetation coverage degree of each sub-surface area over a period of time can be revealed, providing important information for evaluating the ecological restoration effect.

[0062] In S38, the vegetation coverage amounts of each sub-surface area in the first low-altitude image data and the vegetation coverage amounts of each sub-surface area in the second low-altitude image data are integrated to form the second vegetation coverage data.

[0063] In one embodiment, the first parameter model in S3 for obtaining the ecological degradation parameters corresponding to each sub-surface area based on the first parameter model, the first vegetation coverage data and the second vegetation coverage data corresponding to each sub-surface area is expressed as:

[0064] ; where

[0065] is the ecological degradation parameter corresponding to the i-th sub-surface area, is the vegetation coverage of the i-th sub-surface area in the first remote sensing image data, is the vegetation coverage of the i-th sub-surface area in the second remote sensing image data, is the vegetation coverage of the i-th sub-surface area in the first low-altitude image data, is the vegetation coverage of the i-th sub-surface area in the second low-altitude image data.

[0066] In this embodiment, it should be noted that represents the change in remote sensing vegetation coverage of the i-th sub-surface area between the second management time and the first management time; Ensure that the change amount is non-negative, because for ecological degradation, we only care about the reduction of vegetation coverage (i.e., positive change), because ecological degradation mainly focuses on the reduction of vegetation coverage and the destruction of soil structure. If is negative or zero, then the value is taken as 0, indicating no degradation. represents the average remote sensing vegetation coverage of the i-th sub-surface area at two management times; this average value is used to standardize the change amount, making the changes between areas with different vegetation coverage bases comparable. represents the relative change rate of vegetation coverage, that is, the ratio of the change amount to the average coverage amount; this relative change rate can reflect the severity of vegetation coverage change and is not affected by the absolute value size.

[0067] Similarly, represents the change in low-altitude vegetation coverage of the i-th sub-surface area between the second management time and the first management time; Ensure that the change amount is non-negative, because for ecological degradation, we only care about the reduction of vegetation coverage (i.e., positive change), because ecological degradation mainly focuses on the reduction of vegetation coverage and the destruction of soil structure. If is negative or zero, then the value is taken as 0. represents the average low-altitude vegetation coverage of the i-th sub-surface area at two management times; this average value is used to standardize the change amount, making the changes between areas with different vegetation coverage bases comparable. represents the relative change rate of vegetation coverage, that is, the ratio of the change amount to the average coverage amount; this relative change rate can reflect the severity of vegetation coverage change and is not affected by the absolute value size.

[0068] Let and Multiplying them gives a value that must be greater than either of the two, thus enabling the amplification of the calculation results corresponding to the single-modal data to a certain extent, more comprehensively capturing the changes in vegetation cover, and improving the accuracy of the ecological degradation parameters. Further, the logarithmic function enhances the sensitivity of the model to small changes in vegetation cover, amplifies the differences between relative change rates, enabling small changes to be reflected in the ecological degradation parameters. At the same time, the logarithmic transformation is used to convert the relative change values into a more easily processed and interpretable scale, which can amplify small changes; while compressing large changes, making the distribution of the ecological degradation parameters more uniform, facilitating subsequent analysis and strategy formulation; and maintaining the numerical stability, enabling the ecological degradation parameters to have better adaptability and being able to reflect the ecological conditions of different regions.

[0069] Suppose we have a sub-surface area i, and in the remote sensing images and low-altitude image data at two management times, the vegetation cover amounts are as follows: is 5000, is 4500, is 6000, is 5800; after substituting into the first parameter model, we get =ln{[1 + 0.1053][1 + 0.0339]} = ln{1.1438} ≈ 0.134.

[0070] In one implementation, in S3, the second parameter model in the vibration impact parameters corresponding to each sub-surface area obtained based on the second parameter model and the vibration data corresponding to each sub-surface area is expressed as:

[0071] ; where

[0072] is the vibration impact parameter corresponding to the i-th sub-surface area, is the number of acquisition segments evenly divided from the first preset time period, is the number of vibrations of the i-th sub-surface area in the j-th acquisition segment, is the length of the acquisition segment, is the effective vibration threshold.

[0073] In this implementation, it should be noted that Calculate the average number of vibrations of the i-th sub-surface area in each acquisition segment; this can reflect the vibration frequency of this area during this time period. Find the maximum average number of vibrations of the i-th sub-surface area in all acquisition segments; this can reflect the maximum vibration frequency of this area during the entire data acquisition cycle. Subtract the effective vibration threshold a from the maximum average number of vibrations. The purpose of this step is to identify vibration events that have a significant impact on surface ecological restoration. If the maximum average number of vibrations is less than or equal to the threshold a, it is considered that the vibrations in this area have no significant impact on ecological restoration, and the difference is less than or equal to 0; if it is greater than the threshold a, the difference is positive, indicating the existence of vibration events with significant impact. Calculate the average of the average number of vibrations in the i-th sub-surface area within all acquisition segments, that is, the average vibration frequency during the entire data acquisition period.

[0074] Standardize the identified significant vibration events and the average vibration frequency during the entire data acquisition period; the purpose of this step is to obtain a dimensionless vibration impact parameter for easier comparison between different sub-surface areas. By setting the effective vibration threshold a, the model can distinguish between vibration events that have a significant impact on ecological restoration and insignificant vibration events, thus more accurately evaluating the impact of vibrations on ecological restoration; through standardization, the model can eliminate the differences in vibration frequencies caused by factors such as geological conditions and mining activities between different sub-surface areas, making the vibration impact parameter more comparable and practical.

[0075] For example, assume that there is an i-th sub-surface area, which is evenly divided into 10 acquisition segments (i.e., N = 10) within the first preset time period, and the length of each acquisition segment is 1 day (i.e., = 1 day). During this time period, the number of vibrations in each acquisition segment is as follows: Vi1 = 10, Vi2 = 12, Vi3 = 15, Vi4 = 8, Vi5 = 20, Vi6 = 18, Vi7 = 14, Vi8 = 10, Vi9 = 11, Vi10 = 9, and the effective vibration threshold a is set to 10 times per day. After substituting into the second parameter model, we get: .

[0076] In one implementation, in S4, obtaining the restoration index corresponding to each sub-surface area according to the ecological degradation parameter and vibration impact parameter corresponding to each sub-surface area is expressed as:

[0077] ; where

[0078] is the restoration index corresponding to the i-th sub-surface area, is the ecological weight, is the vibration weight, is the ecological degradation parameter corresponding to the i-th sub-surface area, is the vibration impact parameter corresponding to the i-th sub-surface area.

[0079] In this implementation, it should be noted that By means of weighted summation, the ecological degradation parameter and the vibration impact parameter are integrated into a comprehensive restoration index. This integration method not only considers the change in vegetation coverage but also takes into account the impact of vibration factors on ecological restoration, making the restoration index more comprehensive and accurate. At the same time, the process of weighted summation is actually a linear combination of the two parameters. By adjusting the weight coefficients, the contribution degrees of the two parameters to the restoration index can be flexibly controlled. By adjusting the weight coefficients, the restoration index can adapt to the differences in different mine geological environments and ecological damage degrees, providing personalized guidance and support for ecological restoration work in different regions.

[0080] Suppose there is a sub - surface area i, whose ecological degradation parameter = 0.134, and the vibration impact parameter = 0.833. At the same time, we set the ecological weight = 0.6, and the vibration weight = 0.4.

[0081] The restoration index is calculated to be 0.4136. Therefore, the restoration index of this sub - surface area is 0.4136. This value can be used for subsequent formulation of ecological restoration strategies. For example, this restoration index belongs to , representing a moderately degraded area, and certain restoration measures can be taken, such as the implementation method of microbial solidification and mixed seeding of drought - tolerant plants, to reduce the risk of geological disasters.

[0082] A multi - modal - based mine ecological restoration management system is also provided. The system includes:

[0083] The first acquisition module is used to acquire the mine surface area and its corresponding geological information, plan multiple vibration detection points according to the geological information of the mine surface area, and divide the mine surface area into multiple sub - surface areas according to the positions of the multiple vibration detection points. Among them, there is exactly one vibration detection point in each sub - surface area;

[0084] The second acquisition module is used to obtain a first preset time period according to the geological information of the mine surface area, obtain a first management moment and a second management moment at an interval of the first preset time period, obtain the first remote - sensing image data and the first low - altitude image data of the mine surface area at the first management moment, obtain the second remote - sensing image data and the second low - altitude image data of the mine surface area at the second management moment, and obtain the vibration data corresponding to each sub - surface area between the first management moment and the second management moment;

[0085] A data analysis module, configured to obtain the first vegetation coverage data corresponding to each sub-surface area based on the first remote sensing image data and the second remote sensing image data, obtain the second vegetation coverage data corresponding to each sub-surface area based on the first low-altitude image data and the second low-altitude image data, obtain the ecological degradation parameters corresponding to each sub-surface area based on the first parameter model, the first vegetation coverage data and the second vegetation coverage data corresponding to each sub-surface area, and obtain the vibration impact parameters corresponding to each sub-surface area based on the second parameter model and the vibration data corresponding to each sub-surface area;

[0086] A restoration management module, configured to obtain the restoration index corresponding to each sub-surface area according to the ecological degradation parameters and the vibration impact parameters corresponding to each sub-surface area, and obtain the ecological restoration strategy corresponding to each sub-surface area according to the restoration index corresponding to each sub-surface area.

[0087] In one embodiment, the restoration management module is further configured to: obtain a plurality of index ranges, where the plurality of index ranges respectively correspond to different ecological restoration strategies; obtain the index range to which the restoration index corresponding to each sub-surface area belongs, and determine the ecological restoration strategy corresponding to each sub-surface area according to the index range to which each sub-surface area belongs.

[0088] In one embodiment, the data analysis module is further configured to: respectively obtain the first remote sensing pixel map and the second remote sensing pixel map corresponding to the mine surface area according to the first remote sensing image data and the second remote sensing image data; obtain the first remote sensing vegetation pixel amount corresponding to each sub-surface area according to each sub-surface area and the first remote sensing pixel map, and form the vegetation coverage amount of each sub-surface area in the first remote sensing image data according to the first remote sensing vegetation pixel amount corresponding to each sub-surface area; obtain the second remote sensing vegetation pixel amount corresponding to each sub-surface area according to each sub-surface area and the second remote sensing pixel map, and form the vegetation coverage amount of each sub-surface area in the second remote sensing image data according to the second remote sensing vegetation pixel amount corresponding to each sub-surface area; and constitute the first vegetation coverage data according to the vegetation coverage amount of each sub-surface area in the first remote sensing image data and the vegetation coverage amount of each sub-surface area in the second remote sensing image data.

[0089] In one embodiment, the data analysis module is further configured to: obtain a first low-altitude pixel map and a second low-altitude pixel map corresponding to the mine surface area according to the first low-altitude image data and the second low-altitude image data respectively; obtain the first low-altitude vegetation pixel amounts corresponding to the respective sub-surface areas according to the respective sub-surface areas and the first low-altitude pixel map, and form the vegetation coverage amounts of the respective sub-surface areas in the first low-altitude image data according to the first low-altitude vegetation pixel amounts corresponding to the respective sub-surface areas; obtain the second low-altitude vegetation pixel amounts corresponding to the respective sub-surface areas according to the respective sub-surface areas and the second low-altitude pixel map, and form the vegetation coverage amounts of the respective sub-surface areas in the second low-altitude image data according to the second low-altitude vegetation pixel amounts corresponding to the respective sub-surface areas; and constitute second vegetation coverage data according to the vegetation coverage amounts of the respective sub-surface areas in the first low-altitude image data and the vegetation coverage amounts of the respective sub-surface areas in the second low-altitude image data.

[0090] In this embodiment, it should be noted that, regarding the above-mentioned multi-modal based mine ecological restoration management system, the specific manner of performing operations has been described in detail in the embodiment of the multi-modal based mine ecological restoration management method, and will not be elaborated here.

[0091] Figure 5 is a block diagram of an electronic device for a multi-modal based mine ecological restoration management method shown according to an exemplary embodiment. As Figure 5 shown, the electronic device 700 may include: a processor 701, a memory 702. The electronic device 700 may further include one or more of a multimedia component 703, an I / O interface 704, and a communication component 705.

[0092] Among them, the processor 701 is used to control the overall operation of the electronic device 700 to complete all or part of the steps in the above-mentioned multi-modal mine ecological restoration management method. The memory 702 is used to store various types of data to support the operation of the electronic device 700. These data may include, for example, instructions for any application or method operating on the electronic device 700, as well as application-related data, such as contact data, sent and received messages, pictures, audio, video, and so on. The memory 702 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, a magnetic disk, or an optical disc. The multimedia component 703 may include a screen and an audio component. Among them, the screen may be a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone, and the microphone is used to receive external audio signals. The received audio signals may be further stored in the memory 702 or sent through the communication component 705. The audio component further includes at least one speaker for outputting audio signals. The I / O interface 704 provides an interface between the processor 701 and other interface modules, and the above-mentioned other interface modules may be a keyboard, a mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 705 is used for wired or wireless communication between the electronic device 700 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, near field communication (NFC), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or a combination of one or more of them, is not limited herein. Therefore, the corresponding communication component 705 may include: a Wi-Fi module, a Bluetooth module, an NFC module, and so on.

[0093] In an exemplary embodiment, the electronic device 700 can be implemented by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, microcontrollers, microprocessors or other electronic components, and is used to execute the above-mentioned multi-modal based mine ecological restoration management method.

[0094] In another exemplary embodiment, a computer-readable storage medium including program instructions is further provided. When the program instructions are executed by a processor, the steps of the above-mentioned multi-modal based mine ecological restoration management method are implemented. For example, the computer-readable storage medium can be the above-mentioned memory 702 including program instructions, and the above-mentioned program instructions can be executed by the processor 701 of the electronic device 700 to complete the above-mentioned multi-modal based mine ecological restoration management method.

[0095] In another exemplary embodiment, a computer program product is further provided. The computer program product includes a computer program that can be executed by a programmable device, and the computer program has a code part for executing the above-mentioned multi-modal based mine ecological restoration management method when executed by the programmable device.

[0096] The preferred embodiments of the present disclosure have been described in detail above in conjunction with the accompanying drawings. However, the present disclosure is not limited to the specific details in the above embodiments. Within the scope of the technical concept of the present disclosure, various simple modifications can be made to the technical solutions of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.

[0097] In addition, it should be noted that, in the above specific embodiments, the various specific technical features described can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the present disclosure does not separately describe various possible combination methods.

[0098] In addition, any combination can be made between various different embodiments of the present disclosure as long as it does not violate the idea of the present disclosure, and it should also be regarded as the content disclosed by the present disclosure.

[0099] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than limiting them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the various embodiments of the present invention, and they should all be covered within the scope of the claims and the description of the present invention.

Claims

1. A multimodal mine ecological restoration management method, characterized in that: include: Acquire a mine surface area and its corresponding geological information, plan a plurality of vibration detection points according to the geological information of the mine surface area, and divide the mine surface area into a plurality of sub-surface areas according to the positions of the plurality of vibration detection points, wherein each sub-surface area has one and only one vibration detection point; Acquire a first preset time period according to geological information of the mine surface area, and acquire a first management moment and a second management moment separated by the first preset time period, and acquire first remote sensing image data and first low-altitude image data of the mine surface area at the first management moment, and acquire second remote sensing image data and second low-altitude image data of the mine surface area at the second management moment, and acquire vibration data corresponding to each sub-surface area between the first management moment and the second management moment; Acquire first vegetation coverage data corresponding to each sub-surface area according to the first remote sensing image data and the second remote sensing image data, acquire second vegetation coverage data corresponding to each sub-surface area according to the first low-altitude image data and the second low-altitude image data, acquire ecological degradation parameters corresponding to each sub-surface area based on the first parameter model and the first vegetation coverage data and the second vegetation coverage data corresponding to each sub-surface area, and acquire vibration impact parameters corresponding to each sub-surface area based on the second parameter model and the vibration data corresponding to each sub-surface area; Among them, the first parameter model is expressed as: ;in, is the ecological degradation parameter corresponding to the i-th sub-surface area, is the vegetation coverage of the ith sub-surface area in the first remote sensing image data, is the vegetation coverage of the ith sub-surface area in the second remote sensing image data, is the vegetation coverage of the ith sub-surface area in the first low-altitude image data, is the vegetation coverage of the ith sub-surface area in the second low-altitude image data; The second parameter model is expressed as: ;in, is the vibration impact parameter corresponding to the ith sub-surface area, is the number of acquisition segments evenly divided into the first preset time period, is the number of vibrations of the i-th sub-surface area in the j-th acquisition segment, is the length of the acquisition segment, is the effective vibration threshold; The restoration index corresponding to each sub-surface area is obtained according to the ecological degradation parameters and vibration impact parameters corresponding to each sub-surface area, and the ecological restoration strategy corresponding to each sub-surface area is obtained according to the restoration index corresponding to each sub-surface area.

2. The multimodal mine ecological restoration management method according to claim 1 is characterized in that: The obtaining of the ecological restoration strategy corresponding to each sub-surface area according to the restoration index corresponding to each sub-surface area includes: Obtain multiple indicator ranges, wherein the multiple indicator ranges correspond to different ecological restoration strategies; The indicator range of the restoration indicator corresponding to each sub-surface area is obtained, and the ecological restoration strategy corresponding to each sub-surface area is determined according to the indicator range of each sub-surface area.

3. The multimodal mine ecological restoration management method according to claim 1 is characterized in that: The step of acquiring first vegetation coverage data corresponding to each sub-surface area according to the first remote sensing image data and the second remote sensing image data comprises: Acquire a first remote sensing pixel map and a second remote sensing pixel map corresponding to the mine surface area according to the first remote sensing image data and the second remote sensing image data respectively; Acquire the first remote sensing vegetation pixel quantity corresponding to each sub-surface area according to each sub-surface area and the first remote sensing pixel map, and form the vegetation coverage quantity of each sub-surface area in the first remote sensing image data according to the first remote sensing vegetation pixel quantity corresponding to each sub-surface area; According to each sub-surface area and the second remote sensing pixel map, the second remote sensing vegetation pixel quantity corresponding to each sub-surface area is obtained, and according to the second remote sensing vegetation pixel quantity corresponding to each sub-surface area, the vegetation coverage quantity of each sub-surface area in the second remote sensing image data is formed; The first vegetation coverage data is constructed according to the vegetation coverage amount of each sub-surface area in the first remote sensing image data and the vegetation coverage amount of each sub-surface area in the second remote sensing image data.

4. The multimodal mine ecological restoration management method according to claim 3 is characterized in that: The step of acquiring the second vegetation coverage data corresponding to each sub-surface area according to the first low-altitude image data and the second low-altitude image data comprises: Acquire a first low-altitude pixel map and a second low-altitude pixel map corresponding to the mine surface area according to the first low-altitude image data and the second low-altitude image data respectively; Acquire the first low-altitude vegetation pixel quantity corresponding to each sub-surface area according to each sub-surface area and the first low-altitude pixel map, and form the vegetation coverage quantity of each sub-surface area in the first low-altitude image data according to the first low-altitude vegetation pixel quantity corresponding to each sub-surface area; According to each sub-surface area and the second low-altitude pixel map, the second low-altitude vegetation pixel quantity corresponding to each sub-surface area is obtained, and according to the second low-altitude vegetation pixel quantity corresponding to each sub-surface area, the vegetation coverage quantity of each sub-surface area in the second low-altitude image data is formed; The second vegetation coverage data is constructed according to the vegetation coverage amount of each sub-surface area in the first low-altitude image data and the vegetation coverage amount of each sub-surface area in the second low-altitude image data.

5. The multimodal mine ecological restoration management method according to claim 1 is characterized in that: The restoration index corresponding to each sub-surface area is obtained according to the ecological degradation parameter and vibration impact parameter corresponding to each sub-surface area as follows: ;in, is the restoration index corresponding to the i-th sub-surface area, is the ecological weight, is the vibration weight, is the ecological degradation parameter corresponding to the i-th sub-surface area, is the vibration impact parameter corresponding to the i-th sub-surface area.

6. A multi-modal mine ecological restoration management system, characterized in that: The system comprises: A first acquisition module is used to acquire a mine surface area and its corresponding geological information, and plan a plurality of vibration detection points according to the geological information of the mine surface area, and divide the mine surface area into a plurality of sub-surface areas according to the positions of the plurality of vibration detection points, wherein each sub-surface area has and only has one vibration detection point; A second acquisition module is used to acquire a first preset time period according to geological information of the mine surface area, and acquire a first management moment and a second management moment separated by the first preset time period, and acquire first remote sensing image data and first low-altitude image data of the mine surface area at the first management moment, and acquire second remote sensing image data and second low-altitude image data of the mine surface area at the second management moment, and acquire vibration data corresponding to each sub-surface area between the first management moment and the second management moment; A data analysis module, for obtaining first vegetation coverage data corresponding to each sub-surface area based on the first remote sensing image data and the second remote sensing image data, and obtaining second vegetation coverage data corresponding to each sub-surface area based on the first low-altitude image data and the second low-altitude image data, and obtaining ecological degradation parameters corresponding to each sub-surface area based on the first parameter model and the first vegetation coverage data and the second vegetation coverage data corresponding to each sub-surface area, and obtaining vibration impact parameters corresponding to each sub-surface area based on the second parameter model and the vibration data corresponding to each sub-surface area; Among them, the first parameter model is expressed as: ;in, is the ecological degradation parameter corresponding to the i-th sub-surface area, is the vegetation coverage of the ith sub-surface area in the first remote sensing image data, is the vegetation coverage of the ith sub-surface area in the second remote sensing image data, is the vegetation coverage of the ith sub-surface area in the first low-altitude image data, is the vegetation coverage of the ith sub-surface area in the second low-altitude image data; The second parameter model is expressed as: ;in, is the vibration impact parameter corresponding to the ith sub-surface area, is the number of acquisition segments evenly divided into the first preset time period, is the number of vibrations of the i-th sub-surface area in the j-th acquisition segment, is the length of the acquisition segment, is the effective vibration threshold; The restoration management module is used to obtain the restoration index corresponding to each sub-surface area according to the ecological degradation parameters and vibration impact parameters corresponding to each sub-surface area, and to obtain the ecological restoration strategy corresponding to each sub-surface area according to the restoration index corresponding to each sub-surface area.

7. An electronic device, characterized in that: include: a memory having a computer program stored thereon; A processor, used to execute the computer program in the memory to implement the multimodal mine ecological restoration management method as described in any one of claims 1 to 5.

8. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, it implements the multimodal mine ecological restoration management method described in any one of claims 1 to 5.

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