Mine ecological restoration management method, system and equipment based on multiple modes and medium

Abstract

The invention discloses a multi-mode-based mine ecological restoration management method, system, equipment and medium, and relates to the technical field of data processing, and the method comprises the steps: obtaining a mine surface area and geological information, planning a plurality of vibration detection points, dividing a plurality of sub-surface areas, obtaining a first preset time period, and obtaining a first management moment and a second management moment. Acquiring first remote sensing image data and first low-altitude image data, acquiring second remote sensing image data and second low-altitude image data, and acquiring vibration data; obtaining first vegetation coverage data, obtaining second vegetation coverage data, obtaining an ecological degradation parameter, and obtaining a vibration influence parameter; and according to the ecological degradation parameter and the vibration influence parameter, obtaining a restoration index corresponding to each sub-surface area, and according to the restoration index corresponding to each sub-surface area, obtaining an ecological restoration strategy corresponding to each sub-surface area. The method has the advantages of being good in analysis decision effect, accurate, reliable, comprehensive and stable.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a mine ecological restoration management method, system, equipment and medium based on multimodality. Background Art

[0002] The blasting, excavation, and transportation in the mining process not only change the original topography, but also destroy the soil structure, resulting in a decrease in vegetation coverage, increased soil erosion, and even geological disasters such as landslides and mudslides. These environmental problems not only threaten the ecological security around the mines, but also affect the production and life of local residents and restrict the sustainable development of the regional economy. The current methods of mine ecological restoration mainly focus on post-event governance and restoration, such as land reclamation, vegetation reconstruction, and soil and water conservation. However, these methods often lack scientific and systematic planning and management, and the restoration effect is difficult to guarantee, and it is difficult to adapt to the differences in the geological environment and degree of ecological damage of different mines.

[0003] Specifically, there are these problems in the current mine ecological restoration management. First, the surface area of ​​the mine is vast, and the geological environment is complex and changeable. How to scientifically and rationally divide the management units and improve the effectiveness and pertinence of restoration management is an urgent problem to be solved; secondly, mine ecological restoration involves data and information from multiple aspects, such as geological information, vegetation coverage information, vibration information, etc. How to effectively integrate these data and information to achieve multimodal restoration management is also a challenge currently faced; finally, in the current mine ecological restoration management, people often only focus on changes in vegetation coverage, while ignoring the impact of vibration factors caused by mining on ecological restoration. 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 the occurrence of geological disasters such as soil loosening and landslides, which will have an adverse effect on ecological restoration. Summary of the invention

[0004] In view of the defects in the prior art, the present invention provides a multimodal mine ecological restoration management method, system, equipment and medium.

[0005] A mine ecological restoration management method based on multimodality, comprising: obtaining a mine surface area and its corresponding geological information, and 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 each sub-surface area has and has only one vibration detection point; obtaining a first preset time period according to the geological information of the mine surface area, and obtaining a first management moment and a second management moment separated by the first preset time period, and obtaining a first remote sensing image data and a first low-altitude image data of the mine surface area at the first management moment, and obtaining a second remote sensing image data and a second low-altitude image data of the mine surface area at the second management moment, and obtaining a first management moment and a second low-altitude image data of each sub-surface area between the first management moment and the second management moment. domain; 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, and 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, 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; obtaining restoration indicators corresponding to each sub-surface area according to the ecological degradation parameters and vibration impact parameters corresponding to each sub-surface area, and obtaining ecological restoration strategies corresponding to each sub-surface area according to the restoration indicators corresponding to each sub-surface area.

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

[0007] Optionally, 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 includes: obtaining 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; 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; forming 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 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 includes: obtaining 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; obtaining a first low-altitude vegetation pixel amount corresponding to each sub-surface area according to each sub-surface area and the first low-altitude pixel map, and forming a vegetation coverage amount of each sub-surface area in the first low-altitude image data according to the first low-altitude vegetation pixel amount corresponding to each sub-surface area; obtaining a second low-altitude vegetation pixel amount corresponding to each sub-surface area according to each sub-surface area and the second low-altitude pixel map, and forming a vegetation coverage amount of each sub-surface area in the second low-altitude image data according to the second low-altitude vegetation pixel amount corresponding to each sub-surface area; forming the second vegetation coverage data 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.

[0009] Optionally, the first parameter model in obtaining the ecological degradation parameter corresponding to each sub-surface area based on the first parameter model, the first vegetation coverage data corresponding to each sub-surface area, and the second vegetation coverage data 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 i-th sub-surface area in the second low-altitude image data.

[0010] Optionally, the second parameter model in which the vibration influence parameter corresponding to each sub-surface area is obtained based on the second parameter model and the vibration data corresponding to each sub-surface area 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.

[0011] Optionally, 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 and is expressed as: ;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.

[0012] A multimodal mine ecological restoration management system is also provided, the system comprising: a first acquisition module, used to acquire the mine surface area and its corresponding geological information, and 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, wherein each sub-surface area has and only has one vibration detection point; a second acquisition module, used to acquire a first preset time period according to the 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 each sub-surface area between the first management moment and the second management moment. Vibration data corresponding to the surface area; a data analysis module, used to obtain the 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, and obtain 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, and obtain the 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 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; a restoration management module, used to obtain the restoration indicators corresponding to each sub-surface area according to the ecological degradation parameters and 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 indicators corresponding to each sub-surface area.

[0013] An electronic device is also provided, comprising: a memory on which a computer program is stored; and a processor for executing the computer program in the memory to implement the above-mentioned multimodal-based mine ecological restoration management method.

[0014] A non-temporary computer-readable storage medium is also provided, 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: In the entire multimodal 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 is ensured that each sub-area has targeted monitoring and management, thereby 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, the data collection cycle is dynamically adjusted according to geological information to ensure the scientificity and rationality of data collection. By acquiring remote sensing image data and low-altitude image data at different management times, as well as real-time vibration data, the scheme realizes comprehensive and accurate monitoring of mine surface changes, providing rich data support for evaluating the degree of ecological degradation and vibration impact; further, through By combining remote sensing image data and low-altitude image data, the comprehensiveness and accuracy of vegetation cover data analysis have been improved, making the calculation of ecological degradation parameters more reliable. At the same time, the impact of vibration factors on ecological restoration is also considered. By calculating the vibration impact parameters, the potential threat of mining vibration to surface stability and ecological restoration process is revealed, which provides an important basis for formulating targeted ecological restoration strategies. Furthermore, according to the ecological degradation parameters and vibration impact parameters of each sub-surface area, the plan comprehensively evaluates the ecological restoration needs and urgency of each area, determines the corresponding restoration indicators, and formulates a personalized ecological restoration strategy based on this. This strategy not only takes into account the changes in vegetation coverage, but also takes into account factors such as soil structure damage and geological disaster risks, making the ecological restoration work more comprehensive and effective. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for the specific embodiments or the description of 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 according to the actual scale.

[0017] Figure 1 A schematic diagram of the steps of the multi-modal mine ecological restoration management method of the present invention; Figure 2 It is a schematic diagram of some steps of S4 in the multi-modal mine ecological restoration management method of the present invention; Figure 3 It is a schematic diagram of some steps of S3 in the mine ecological restoration management method based on multimodality of the present invention; Figure 4 It is another schematic diagram of steps S3 in the multimodal mine ecological restoration management method of the present invention; Figure 5 The present invention is a block diagram of an electronic device according to an embodiment of the present invention.

[0018] Reference numerals: 700 - electronic device, 701 - processor, 702 - memory, 703 - multimedia component, 704 - I / O interface, 705 - communication component. DETAILED DESCRIPTION

[0019] In order to make the purpose, 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 in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0020] 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 invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. In addition, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0022] like Figure 1 As shown, a multimodal mine ecological restoration management method is provided, including: S1. 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 and has only one vibration detection point; S2. 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; S3. 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, and 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, and 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; S4. Obtain restoration indicators corresponding to each sub-surface area according to the ecological degradation parameters and vibration impact parameters corresponding to each sub-surface area, and obtain ecological restoration strategies corresponding to each sub-surface area according to the restoration indicators corresponding to each sub-surface area.

[0023] In this embodiment, it should be noted that in S1, it is first necessary to obtain the surface area of ​​the mine and its corresponding geological information; this geological information may include but is not limited to the composition of the strata, the distribution of lithology, the characteristics of the geological structure, and the hydrogeological conditions, etc. This information is the basis for the subsequent planning of vibration detection points and the division of sub-surface areas. Then, multiple vibration detection points are planned based on these geological information; 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 formations, the distance between adjacent vibration detection points is relatively small to more comprehensively monitor the vibration changes in these areas. After the vibration detection points are planned, the surface area of ​​the mine is divided into multiple sub-surface areas according to the locations of these detection points; each sub-surface area has and only has one vibration detection point, which can ensure that each sub-area is covered by vibration data, avoid interference between detection points, and improve the accuracy and effectiveness of data collection. For example, if the surface area of ​​a mine is a rectangular area, it can be divided into several small rectangular or square sub-areas based on geological information and the distribution of vibration detection points. Each sub-area contains a vibration detection point, thereby achieving comprehensive monitoring and management of the entire surface area of ​​the mine.

[0024] In S2, first, a reasonable data collection cycle, i.e., the first preset time period, needs to be determined based on the geological information of the mine surface area; the length of this time period will be comprehensively considered based on factors such as the stability of the mine geological environment, the frequency of mining activities, and the need for ecological restoration. For example, in areas where the geological environment is relatively stable, mining activities are less and ecological restoration is progressing smoothly, a relatively long time period can be set for data collection; while in areas where the geological environment is complex and changeable, mining activities are frequent and ecological damage is serious, the time period for data collection needs to be shortened in order to grasp the changes in the mine surface more timely. 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 drone low-altitude acquisition technology, and can comprehensively and accurately reflect the changes in vegetation coverage, topography, and other changes on 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 will also be obtained. These data are obtained through real-time monitoring of the previously planned vibration detection points, and can reflect the vibration of the mine surface during this time period. The collection of these data provides a solid foundation for the subsequent calculation of ecological degradation parameters and vibration impact parameters.

[0025] In S3, the ecological degradation parameters and vibration impact parameters of each sub-surface area are calculated based on the collected remote sensing image data, low-altitude image data, and vibration data. First, for remote sensing image data, satellite remote sensing technology is used to obtain 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 at two time points, the changes in vegetation coverage in each sub-surface area can be analyzed, which is an important basis for assessing the degree of ecological degradation. At the same time, for low-altitude image data, drones are used for low-altitude collection to obtain higher-resolution image data; these data are also processed to form low-altitude pixel maps, which are used to further refine the analysis of vegetation coverage, especially in detail areas that remote sensing image data may not be accurately captured; combining remote sensing image data and low-altitude image data, more comprehensive and accurate vegetation coverage data can be obtained, providing a basis for calculating ecological degradation parameters. On the other hand, for vibration data, previously planned vibration detection points will be used to monitor the vibration of the mine surface in real time; these data record the vibration frequency, amplitude and other information of the mine surface in a specific time period, which is an important basis for evaluating the impact of vibration on ecological restoration. By combining these vibration data with vegetation coverage data, we can have a more comprehensive understanding of the ecological status of the mine surface, and calculate the ecological degradation parameters and vibration impact parameters accordingly.

[0026] For example, suppose there is a surface area of ​​a mine, which has suffered serious ecological damage during the mining process; at the first management time, the remote sensing image data and low-altitude image data of the area were obtained through satellite remote sensing and drone low-altitude acquisition technology, and a pixel map reflecting the vegetation coverage was obtained after processing; at the second management time, data collection was carried out again, and a new pixel map was obtained; by comparing the pixel maps at the two time points, it was found that the vegetation coverage of a certain sub-surface area decreased significantly, indicating that the area had ecological degradation. At the same time, the vibration data of the sub-surface area between the first management time and the second management time were also obtained, and the data showed that the vibration frequency of the area was high during this period. Combining the vegetation coverage data and the vibration data, the ecological degradation parameters and vibration impact parameters of the sub-surface area can be calculated, and these parameters will be used for the subsequent calculation of restoration indicators and the formulation of ecological restoration strategies.

[0027] In S4, the restoration index of each sub-surface area is determined according to the ecological degradation parameters and vibration impact parameters corresponding to each sub-surface area, and the corresponding ecological restoration strategy is formulated accordingly. Specifically, the calculated ecological degradation parameters and vibration impact parameters are first analyzed comprehensively to consider their comprehensive impact on the ecological status of the mine surface; the ecological degradation parameters reflect the changes in vegetation coverage, the degree of damage to the soil structure and other ecological degradation conditions, while the vibration impact parameters reveal the potential threat of mining vibration to surface stability and ecological restoration process; by combining these parameters, the ecological restoration needs and urgency of each sub-surface area can be evaluated, thereby determining the corresponding restoration indicators. These restoration indicators provide clear directions and quantitative goals for subsequent ecological restoration work.

[0028] For example, suppose there are three sub-surface areas A, B, and C in the mine surface area. After 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 index of area A is extremely high, belonging to the high erosion area, the degree of ecological degradation is serious, the vegetation coverage has dropped significantly, the soil structure is seriously damaged, and the vibration impact is significant. There is a high risk of geological disasters, belonging to the high erosion area. Therefore, in S4, a more stringent ecological restoration strategy will be set for area A, such as the comprehensive implementation method of microbial solidification, drought-tolerant plant mixed sowing, and super-enriched plant planting to reduce the risk of geological disasters. The restoration index of area B is medium, belonging to the medium erosion area, and the corresponding ecological restoration strategy, such as the implementation method of microbial solidification and drought-tolerant plant mixed sowing, is used to reduce the risk of geological disasters. The restoration index of area C is low, belonging to the low erosion area, and the corresponding ecological restoration strategy, such as the implementation method of drought-tolerant plant mixed sowing, is used to reduce the risk of geological disasters.

[0029] In summary, in the entire multimodal 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 is ensured that each sub-area has targeted monitoring and management, which 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, the data collection cycle is dynamically adjusted according to geological information to ensure the scientificity and rationality of data collection. By acquiring remote sensing image data and low-altitude image data at different management times, as well as real-time vibration data, the scheme realizes comprehensive and accurate monitoring of mine surface changes, providing rich data support for evaluating the degree of ecological degradation and vibration impact; further First, by combining remote sensing image data and low-altitude image data, the comprehensiveness and accuracy of vegetation cover data analysis were improved, making the calculation of ecological degradation parameters more reliable. At the same time, the impact of vibration factors on ecological restoration was also considered. By calculating the vibration impact parameters, the potential threat of mining vibration to surface stability and ecological restoration process was revealed, providing an important basis for formulating targeted ecological restoration strategies. Furthermore, according to the ecological degradation parameters and vibration impact parameters of each sub-surface area, the plan comprehensively evaluated the ecological restoration needs and urgency of each area, determined the corresponding restoration indicators, and formulated a personalized ecological restoration strategy based on this. This strategy not only takes into account the changes in vegetation coverage, but also takes into account factors such as soil structure damage and geological disaster risks, making the ecological restoration work more comprehensive and effective.

[0030] like Figure 2 As shown, in one embodiment, obtaining the ecological restoration strategy corresponding to each sub-surface area according to the restoration index corresponding to each sub-surface area in S4 includes: S41, obtaining multiple indicator ranges, wherein the multiple indicator ranges correspond to different ecological restoration strategies respectively; S42, obtaining the indicator range to which the restoration indicator corresponding to each sub-surface area belongs, and determining the ecological restoration strategy corresponding to each sub-surface area according to the indicator range to which each sub-surface area belongs.

[0031] In this embodiment, it should be noted that in S41, it is first necessary to establish multiple indicator ranges. These indicator ranges are scientifically set based on the restoration indicators of different mine surface areas in history and the corresponding ecological restoration needs. Specifically, through in-depth analysis of historical data, we can understand the distribution of restoration indicators under different degrees of ecological degradation and vibration, and then divide these indicators into different intervals according to their numerical size or degree of impact, namely indicator ranges. Each indicator range represents a specific ecological condition and demand, and therefore corresponds to different ecological restoration strategies. For example, setting an indicator range , representing extremely degraded areas with very low vegetation cover, severely damaged soil structure, and significant vibration impacts, requiring the most drastic and comprehensive restoration measures; and the other indicator range is It may represent areas of mild degradation, where the ecological conditions are relatively good and only mild restoration strategies are needed. The setting of these indicator ranges is based on a full understanding of historical data and experience summary, and aims to provide clear guidance and reference for subsequent ecological restoration work.

[0032] In S42, the restoration index corresponding to each sub-surface area is compared with the pre-set index range to determine the index range to which each sub-surface area belongs. This process requires careful analysis of the restoration index of each sub-surface area, including ecological degradation parameters and vibration impact parameters, and then comparing them with the index range 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 the range. For example, if the restoration index of a sub-surface area belongs to the extremely degraded index range, a comprehensive restoration strategy including microbial solidification, drought-resistant plant mixed sowing and super-enriched plant planting will be adopted; and if the restoration index belongs to the slightly degraded index range, some simple vegetation restoration measures may be sufficient. In this way, it can be ensured that each sub-surface area can obtain the restoration strategy that best suits its ecological conditions, thereby improving the effect and efficiency of ecological restoration.

[0033] like Figure 3 As shown, in one embodiment, 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 in S3 includes: S31, respectively acquiring 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; S32, acquiring 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; S33, 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; S34. Construct 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.

[0034] In this embodiment, it should be noted that in S31, it is first necessary to start from the first remote sensing image data and the second remote sensing image data obtained. These two sets of data respectively represent the remote sensing image information of the surface area of ​​the mine 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 technology, with the characteristics of high resolution and wide coverage, and can clearly reflect the characteristics of surface vegetation, soil, terrain, etc., that is, the first remote sensing pixel map and the second remote sensing pixel map. Through these processes, the remote sensing pixel map of the surface area of ​​the mine at two time points can be obtained, which provides a basis for the subsequent analysis of vegetation coverage changes.

[0035] In S32, each sub-surface area that has been divided is superimposed and matched with the first remote sensing pixel map to determine the vegetation coverage of each sub-surface area at the first management moment. This process requires the use of technical means such as geographic information system (GIS) to accurately align the boundaries of the sub-surface area with the remote sensing pixel map, 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 and density of vegetation in the area and are one of the important indicators for assessing the degree of ecological degradation. According to the first remote sensing vegetation pixel quantity corresponding to each sub-surface area, a vegetation coverage dataset of each sub-surface area in the first remote sensing image data can be formed. This dataset provides key information for the subsequent calculation of ecological degradation parameters.

[0036] S33 is similar to S32, but is aimed at the remote sensing image data of the second management moment. In this step, each sub-surface area is superimposed and matched with the second remote sensing pixel map to determine the vegetation coverage of each sub-surface area at the second management moment. Similarly, GIS and other technical means are used to accurately align the boundaries of the sub-surface areas with the remote sensing pixel map, and count the number of vegetation pixels in each sub-surface area, that is, the second remote sensing vegetation pixel quantity. These vegetation pixel quantities reflect the degree and density of vegetation coverage in the area at the second management moment. Compared with the data of the first management moment, the changes in vegetation coverage can be revealed. According to the second remote sensing vegetation pixel quantities corresponding to each sub-surface area, a vegetation coverage dataset for each sub-surface area in the second remote sensing image data is formed, which provides key information at another time point for the subsequent analysis of vegetation coverage changes.

[0037] In S34, the vegetation coverage of each sub-surface area in the first remote sensing image data and the vegetation coverage of each sub-surface area in the second remote sensing image data are integrated to form first vegetation coverage data.

[0038] like Figure 4As shown, in one embodiment, obtaining 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 in S3 includes: S35, respectively acquiring 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; S36, 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; S37, 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 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; S38. Construct second vegetation coverage data 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.

[0039] 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 the drone low-altitude acquisition technology 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 and terrain changes of vegetation are relatively more detailed. Converting these image data into digital pixel maps is an important basis for subsequent analysis of vegetation coverage changes.

[0040] In S36, each sub-surface area is precisely aligned and superimposed with the first low-altitude pixel map to calculate the low-altitude vegetation pixel quantity of each sub-surface area at the first management moment. 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 quantities directly reflect the vegetation coverage and density of the area at the first management moment. For example, if the vegetation pixel quantity of a sub-surface area is very high, it means that the vegetation coverage of the area is good; conversely, if the vegetation pixel quantity is low, it may indicate that the vegetation coverage of the area is poor or there is degradation. Based on these vegetation pixel quantities, a vegetation coverage dataset of each sub-surface area in the first low-altitude image data can be formed, providing a key basis for the subsequent calculation of ecological degradation parameters.

[0041] S37 is similar to S36, but it is aimed at the low-altitude image data of the second management moment. In this step, each sub-surface area is aligned and superimposed with the second low-altitude pixel map to calculate the number of low-altitude vegetation pixels in each sub-surface area at the second management moment. Similarly, using the spatial analysis function of the (GIS) software, the total number of vegetation pixels in each sub-surface area can be counted, and a vegetation coverage dataset for each sub-surface area in the second low-altitude image data can be formed. By comparing the vegetation coverage datasets of the first management moment and the second management moment, the changes in vegetation coverage of each sub-surface area over a period of time can be revealed, providing important information for evaluating the effectiveness of ecological restoration.

[0042] In S38, 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 are integrated to form second vegetation coverage data.

[0043] In one embodiment, the first parameter model in S3 in which the ecological degradation parameters corresponding to each sub-surface area are obtained based on the first parameter model, the first vegetation coverage data corresponding to each sub-surface area, and the second vegetation coverage data 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 i-th sub-surface area in the second low-altitude image data.

[0044] 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 moment and the first management moment; Ensure that the change is non-negative, because ecological degradation is mainly concerned with the reduction of vegetation cover and the destruction of soil structure. If it is negative or zero, it takes the value of 0, indicating no degradation. Represents the average remote sensing vegetation cover of the ith sub-surface area at two management times; this average is used to standardize the change so that the changes between areas with different vegetation cover bases are comparable. It represents the relative change rate of vegetation coverage, that is, the ratio of the change to the average coverage. This relative change rate can reflect the severity of vegetation coverage change and is not affected by the absolute value.

[0045] Likewise, represents the change in low-altitude vegetation coverage of the i-th sub-surface area between the second management moment and the first management moment; Ensure that the change is non-negative, because ecological degradation is mainly concerned with the reduction of vegetation cover and the destruction of soil structure. If negative or zero, the value is 0. Represents the average low-altitude vegetation cover of the ith sub-surface area at two management times; this average is used to standardize the change so that the changes between areas with different vegetation cover bases are comparable. It represents the relative change rate of vegetation coverage, that is, the ratio of the change to the average coverage. This relative change rate can reflect the severity of vegetation coverage change and is not affected by the absolute value.

[0046] Will and Multiplying them together, the value obtained must be greater than any of the two, so that the calculation results corresponding to the single modal data can be amplified to a certain extent, the changes in vegetation cover can be captured more comprehensively, and the accuracy of ecological degradation parameters can be improved. Furthermore, the logarithmic function is used to enhance the sensitivity of the model to small changes in vegetation cover, amplify the differences between relative change rates, so that small changes can also be reflected in the ecological degradation parameters. At the same time, the logarithmic transformation is used to convert the value of relative changes into a scale that is easier to handle and interpret, which can amplify small changes; at the same time, it compresses large changes, making the distribution of ecological degradation parameters more uniform, which is convenient for subsequent analysis and strategy formulation; at the same time, the numerical stability is maintained, so that the ecological degradation parameters have better adaptability and can reflect the ecological conditions of different regions.

[0047] Assume that we have a sub-surface area i, and the vegetation coverage in the remote sensing images and low-altitude image data at two management times is as follows: is 5000, is 4500, is 6000, is 5800; after introducing the first parameter model, we get =ln{[1+0.1053][1+0.0339]}=ln{1.1438}≈0.134.

[0048] In one embodiment, the second parameter model in S3 in which the vibration influence parameter corresponding to each sub-surface area is obtained based on the second parameter model and the vibration data corresponding to each sub-surface area 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.

[0049] In this embodiment, it should be noted that The average number of vibrations in the ith sub-surface area within each acquisition segment is calculated; this can reflect the vibration frequency of the area within the time period. Find the maximum average vibration frequency of the ith sub-surface area in all acquisition segments; this can reflect the maximum vibration frequency of the area during the entire data acquisition period. The effective vibration threshold a is subtracted from the maximum average vibration number. The purpose of this step is to identify vibration events that have a significant impact on surface ecological restoration. If the maximum average vibration number is less than or equal to the threshold a, it is considered that the vibration in the area has 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 presence of a vibration event with a significant impact. Calculate the average of the average vibration times of the ith sub-surface area in all acquisition segments, that is, the average vibration frequency in the entire data acquisition period.

[0050] The significant vibration events identified are normalized with the average vibration frequency during the entire data collection period; the purpose of this step is to obtain a dimensionless vibration impact parameter to facilitate 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, thereby more accurately assessing the impact of vibration on ecological restoration; through normalization, the model can eliminate the vibration frequency differences between different sub-surface areas caused by geological conditions, mining activities and other factors, making the vibration impact parameter more comparable and practical.

[0051] For example, suppose 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 period, the vibration times of each acquisition segment are 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 / day. After substituting into the second parameter model, we get: .

[0052] In one embodiment, in S4, 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, and is expressed as: ;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.

[0053] In this embodiment, it should be noted that Through the weighted summation method, the ecological degradation parameters and vibration impact parameters are integrated into a comprehensive restoration index. This integration method takes into account both the changes in vegetation coverage and the impact of vibration factors on ecological restoration, making the restoration index more comprehensive and accurate. At the same time, the weighted summation process is actually a linear combination of the two parameters. By adjusting the weight coefficient, the contribution of the two parameters to the restoration index can be flexibly controlled. By adjusting the weight coefficient, the restoration index can adapt to the differences in different mining geological environments and degrees of ecological damage, and provide personalized guidance and support for ecological restoration work in different regions.

[0054] Assume that there is a sub-surface area i, whose ecological degradation parameter =0.134, vibration influence parameter =0.833, and we set the ecological weight =0.6, vibration weight =0.4.

[0055] Repair index calculation 0.4136. Therefore, the restoration index of this sub-surface area is 0.4136. This value can be used in the subsequent ecological restoration strategy formulation. For example, this restoration index belongs to , representing moderately degraded areas, can be restored to a certain extent by adopting restoration measures, such as the implementation of microbial solidification and mixed seeding of drought-tolerant plants, to reduce the risk of geological disasters.

[0056] A multi-modal mine ecological restoration management system is also provided, the system comprising: 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; 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.

[0057] In one embodiment, the restoration management module is also used to: obtain multiple indicator ranges, wherein the multiple indicator ranges correspond to different ecological restoration strategies; obtain the indicator range to which the restoration indicators corresponding to each sub-surface area belong, and determine the ecological restoration strategy corresponding to each sub-surface area based on the indicator range to which each sub-surface area belongs.

[0058] In one embodiment, the data analysis module is also used to: obtain the first remote sensing pixel map and the second remote sensing pixel map corresponding to the surface area of ​​the mine according to the first remote sensing image data and the second remote sensing image data, respectively; 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; 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.

[0059] In one embodiment, the data analysis module is also used to: obtain a first low-altitude pixel map and a second low-altitude pixel map corresponding to the surface area of ​​the mine according to the first low-altitude image data and the second low-altitude image data, respectively; obtain a first low-altitude vegetation pixel amount corresponding to each sub-surface area according to each sub-surface area and the first low-altitude pixel map, and form a vegetation coverage amount of each sub-surface area in the first low-altitude image data according to the first low-altitude vegetation pixel amount corresponding to each sub-surface area; obtain a second low-altitude vegetation pixel amount corresponding to each sub-surface area according to each sub-surface area and the second low-altitude pixel map, and form a vegetation coverage amount of each sub-surface area in the second low-altitude image data according to the second low-altitude vegetation pixel amount corresponding to each sub-surface area; and form second vegetation coverage data 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.

[0060] In this embodiment, it should be noted that, regarding the above-mentioned multimodal-based mine ecological restoration management system, the specific method of performing operations therein has been described in detail in the implementation method of the multimodal-based mine ecological restoration management method, and will not be elaborated here.

[0061] Figure 5 is a block diagram of an electronic device for a multi-modal mine ecological restoration management method according to an exemplary embodiment. Figure 5 As shown, the electronic device 700 may include: a processor 701 and a memory 702. The electronic device 700 may also include one or more of a multimedia component 703, an I / O interface 704, and a communication component 705.

[0062] 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 multimodal 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, and these data may include instructions for any application or method used to operate on the electronic device 700, and application-related data, such as contact data, sent and received messages, pictures, audio, video, etc. 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 (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read-Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read-Only Memory, referred to as EPROM), programmable read-only memory (Programmable Read-Only Memory, referred to as PROM), read-only memory (Read-Only Memory, referred to as ROM), magnetic memory, flash memory, disk or optical disk. The multimedia component 703 may include a screen and an audio component. The screen may be, for example, 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, which is used to receive external audio signals. The received audio signal may be further stored in the memory 702 or sent through the communication component 705. The audio component also 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 keyboards, mice, 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 here. Therefore, the corresponding communication component 705 may include: Wi-Fi module, Bluetooth module, NFC module, etc.

[0063] In an exemplary embodiment, the electronic device 700 can be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable gate arrays (FPGA), controllers, microcontrollers, microprocessors or other electronic components to execute the above-mentioned multi-modal mine ecological restoration management method.

[0064] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, and when the program instructions are executed by a processor, the steps of the above-mentioned multimodal 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 multimodal mine ecological restoration management method.

[0065] In another exemplary embodiment, a computer program product is also provided, which includes a computer program that can be executed by a programmable device, and the computer program has a code portion for executing the above-mentioned multimodal-based mine ecological restoration management method when executed by the programmable device.

[0066] The preferred embodiments of the present disclosure are 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 technical concept of the present disclosure, a variety of simple modifications can be made to the technical solution of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.

[0067] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present disclosure will not further describe various possible combinations.

[0068] In addition, various embodiments of the present disclosure may be arbitrarily combined, and as long as they do not violate the concept of the present disclosure, they should also be regarded as the contents disclosed by the present disclosure.

[0069] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification 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; 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 4 is characterized in that: The first parameter model in the ecological degradation parameter corresponding to each sub-surface area obtained based on the first parameter model, the first vegetation coverage data corresponding to each sub-surface area, and the second vegetation coverage data 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 i-th sub-surface area in the second low-altitude image data.

6. The multimodal mine ecological restoration management method according to claim 1 is characterized in that: The second parameter model in the step of 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: ;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.

7. 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.

8. 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; 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.

9. 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 7.

10. 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 7.

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