Mine ecological restoration evaluation method and system

Abstract

The invention relates to the technical field of ecological restoration evaluation, and discloses a mine ecological restoration evaluation method and system, and the method comprises the steps: dividing a to-be-detected mine after mine restoration into a plurality of different to-be-detected regions; secondly, performing analysis based on the high-altitude remote sensing images corresponding to the to-be-detected areas to obtain vegetation greening indexes corresponding to the to-be-detected mine; calculating an overground dust influence index and an underground water quality pollution index corresponding to the mine to be detected; calculating an environment evaluation index corresponding to the mine to be detected according to the overground dust pollution index, the vegetation greening index and the underground water quality pollution index corresponding to the mine to be detected; and finally evaluating the ecological restoration of the mine according to the environment evaluation index corresponding to the to-be-detected mine. The method not only considers the influence of vegetation on the environment, but also considers the pollution of overground dust and the pollution of underground water, thereby improving the evaluation accuracy.

Description

Technical Field

[0001] The present invention relates to the technical field of ecological restoration evaluation, and in particular to a mine ecological restoration evaluation method and system. Background Art

[0002] Over-exploitation of mineral resources in mines often leads to environmental deterioration of mine ecology. Since the deteriorated mine ecological environment will cause many hazards, it is very important to repair the deteriorated mine ecological environment. In the process of mine ecological environment restoration, not only the technical means of vegetation restoration and reconstruction should be considered, but also the effect of mine ecological environment restoration should be measured. Therefore, how to accurately evaluate the effect of mine ecological environment restoration is also a difficult task.

[0003] Patent application number CN116030356 A discloses a method for evaluating and judging the environment of the mine ecology to be restored based on the combination of histogram and Gaussian model and then based on the vegetation coverage rate. Although this technical solution can improve the efficiency of environmental assessment of mine ecological restoration, the above patent only considers the single factor of vegetation coverage rate to evaluate the mine ecological environment, so there is a problem of inaccurate assessment. Summary of the invention

[0004] The purpose of the present invention is to provide a mine ecological restoration evaluation method and system to achieve accurate evaluation of mine ecological restoration.

[0005] To achieve the above object, the present invention provides a method for evaluating mine ecological restoration, the method comprising:

[0006] Divide the mine to be inspected after the mine restoration into a plurality of different areas to be inspected;

[0007] Calculate the ground dust impact index corresponding to the mine to be tested based on the average concentration of floating dust, average concentration of silica dust and average concentration of falling dust corresponding to each area to be tested;

[0008] Based on the analysis of the high-altitude remote sensing images corresponding to each area to be inspected, the vegetation greening index corresponding to the mine to be inspected is obtained;

[0009] Calculate the groundwater pollution index corresponding to the mine to be tested;

[0010] Calculate the environmental assessment index corresponding to the mine to be tested based on the ground dust pollution index, vegetation greening index and groundwater pollution index corresponding to the mine to be tested;

[0011] The ecological restoration of the mine is evaluated based on the corresponding environmental assessment indicators of the mine to be tested.

[0012] Optionally, the calculating of the ground dust impact index corresponding to the mine to be detected based on the average floating dust concentration, the average silica dust concentration and the average falling dust concentration corresponding to each area to be detected specifically includes:

[0013] Calculate the average floating dust concentration, average silica dust concentration and average falling dust concentration corresponding to each area to be detected respectively;

[0014] The average floating dust concentration, the average silica dust concentration and the average falling dust concentration corresponding to each area to be detected are respectively input into the dust concentration prediction model for prediction to obtain the ground dust concentration corresponding to each area to be detected;

[0015] The ground dust impact index corresponding to the mine to be inspected is calculated based on the ground dust concentration corresponding to each area to be inspected.

[0016] Optionally, the analysis based on the high-altitude remote sensing images corresponding to each area to be detected to obtain the vegetation greening index corresponding to the mine to be detected specifically includes:

[0017] Collect high-altitude remote sensing images from multiple angles for each area to be inspected;

[0018] Based on the collected multi-angle high-altitude remote sensing images corresponding to each area to be detected, three-dimensional reconstruction rendering analysis is performed to obtain the vegetation greening index corresponding to each area to be detected;

[0019] The vegetation greening index corresponding to the mine to be inspected is determined based on the vegetation greening index corresponding to each area to be inspected.

[0020] Optionally, the three-dimensional reconstruction rendering analysis based on the collected multi-angle high-altitude remote sensing images corresponding to each area to be detected to obtain the vegetation greening index corresponding to each area to be detected specifically includes:

[0021] Extract features from multi-angle high-altitude remote sensing images to obtain vegetation growth features corresponding to the multi-angle high-altitude remote sensing images;

[0022] A three-dimensional model is constructed based on the vegetation growth characteristics corresponding to the multi-angle high-altitude remote sensing images to obtain a three-dimensional vegetation growth model corresponding to each area to be detected;

[0023] Rendering is performed based on the areas outside the three-dimensional vegetation growth model corresponding to each area to be detected, so as to obtain a mine restoration model corresponding to each area to be detected;

[0024] Based on the three-dimensional vegetation growth model and mine restoration model corresponding to each area to be detected, vegetation greening assessment is performed to obtain the vegetation greening index corresponding to each area to be detected.

[0025] Optionally, vegetation greening assessment is performed based on the three-dimensional vegetation growth models and mine restoration models corresponding to the areas to be detected, and vegetation greening indexes corresponding to the areas to be detected are obtained, specifically including:

[0026] Calculating the vegetation greening rate corresponding to each area to be detected based on the three-dimensional vegetation growth model corresponding to each area to be detected;

[0027] Calculating the vegetation greening area and the total area corresponding to each area to be detected based on the mine restoration model corresponding to each area to be detected;

[0028] Calculating the vegetation greening index corresponding to each area to be detected based on the vegetation greening rate, vegetation greening area and total area corresponding to each area to be detected.

[0029] Optionally, calculating the environmental assessment index corresponding to the mine to be detected according to the above-ground dust pollution index, vegetation greening index and underground water pollution index corresponding to the mine to be detected, and the specific calculation formula is:

[0030]

[0031] where, θ 1 is the above-ground dust pollution index corresponding to the mine to be detected, θ 2 is the vegetation greening index corresponding to the mine to be detected, θ 3 is the underground water pollution index corresponding to the mine to be detected, and QCP is the environmental assessment index corresponding to the mine to be detected.

[0032] Optionally, evaluating the mine ecological restoration according to the environmental assessment index corresponding to the mine to be detected, specifically including:

[0033] Setting a mild pollution threshold WCP and a severe pollution threshold VCP;

[0034] When QCP < WCP, it indicates that the environment of the mine to be detected is qualified;

[0035] When WCP ≤ QCP < VCP, it indicates that the environment of the mine to be detected is mildly polluted;

[0036] When VCP ≤ QCP, it indicates that the environment of the mine to be detected is severely polluted.

[0037] The present invention also provides a mine ecological restoration evaluation system, and the system includes:

[0038] A regional division module, configured to divide the mine to be detected after mine restoration into a plurality of different areas to be detected;

[0039] A ground dust impact index calculation module is used to calculate the ground dust impact index corresponding to the mine to be detected based on the average floating dust concentration, average silica dust concentration and average falling dust concentration corresponding to each area to be detected;

[0040] The vegetation greening index calculation module is used to analyze the high-altitude remote sensing images corresponding to each area to be detected to obtain the vegetation greening index corresponding to the mine to be detected;

[0041] The underground water pollution index calculation module is used to calculate the underground water pollution index corresponding to the mine to be tested;

[0042] An environmental assessment index calculation module is used to calculate the environmental assessment index corresponding to the mine to be inspected based on the ground dust pollution index, vegetation greening index and groundwater pollution index corresponding to the mine to be inspected;

[0043] The evaluation module is used to evaluate the ecological restoration of mines according to the environmental assessment indicators corresponding to the mines to be tested.

[0044] Optionally, the ground dust impact index calculation module specifically includes:

[0045] The average concentration calculation unit is used to calculate the average concentration of floating dust, the average concentration of silica dust and the average concentration of falling dust corresponding to each area to be detected;

[0046] The ground dust concentration prediction unit is used to input the average floating dust concentration, the average silica dust concentration and the average falling dust concentration corresponding to each area to be detected into the dust concentration prediction model for prediction, so as to obtain the ground dust concentration corresponding to each area to be detected;

[0047] The ground dust impact index calculation unit is used to calculate the ground dust impact index corresponding to the mine to be detected based on the ground dust concentration corresponding to each area to be detected.

[0048] Optionally, the vegetation greening index calculation module specifically includes:

[0049] An image acquisition unit is used to acquire multi-angle high-altitude remote sensing images of each area to be detected;

[0050] A three-dimensional reconstruction rendering analysis unit is used to perform three-dimensional reconstruction rendering analysis based on the collected multi-angle high-altitude remote sensing images corresponding to each area to be detected, so as to obtain the vegetation greening index corresponding to each area to be detected;

[0051] The vegetation greening index calculation unit is used to determine the vegetation greening index corresponding to the mine to be detected based on the vegetation greening index corresponding to each area to be detected.

[0052] According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0053] The present invention discloses a mine ecological restoration evaluation method and system. First, the mine to be detected after the mine restoration is divided into a plurality of different areas to be detected; secondly, the ground dust impact index corresponding to the mine to be detected is calculated based on the average concentration of floating dust, the average concentration of silica dust and the average concentration of falling dust corresponding to each area to be detected; the vegetation greening index corresponding to the mine to be detected is obtained based on the high-altitude remote sensing image corresponding to each area to be detected; the groundwater pollution index corresponding to the mine to be detected is calculated; then, the environmental assessment index corresponding to the mine to be detected is calculated according to the ground dust pollution index, the vegetation greening index and the groundwater pollution index corresponding to the mine to be detected; finally, the mine ecological restoration is evaluated according to the environmental assessment index corresponding to the mine to be detected. The present invention not only considers the impact of vegetation on the environment, but also considers the pollution of ground dust and groundwater pollution, and comprehensively evaluates whether the vegetation is qualified after restoration, thereby improving the accuracy of the evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0055] Figure 1 This is a flow chart of a mine ecological restoration evaluation method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0056] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. 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.

[0057] The purpose of the present invention is to provide a mine ecological restoration evaluation method and system to achieve accurate evaluation of mine ecological restoration.

[0058] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0059] like Figure 1 As shown, the present invention discloses a mine ecological restoration evaluation method, the method comprising:

[0060] Step S1: Divide the mine to be inspected after the mine restoration into a plurality of different areas to be inspected.

[0061] Step S2: Calculate the ground dust impact index corresponding to the mine to be inspected based on the average floating dust concentration, average silica dust concentration and average falling dust concentration corresponding to each area to be inspected.

[0062] Step S3: Analyze the high-altitude remote sensing images corresponding to each area to be detected to obtain vegetation greening indicators corresponding to the mine to be detected.

[0063] Step S4: Calculate the groundwater pollution index corresponding to the mine to be tested.

[0064] Step S5: Calculate the environmental assessment index corresponding to the mine to be inspected according to the ground dust pollution index, vegetation greening index and groundwater pollution index corresponding to the mine to be inspected.

[0065] Step S6: Evaluate the ecological restoration of the mine according to the environmental assessment indicators corresponding to the mine to be tested.

[0066] The following is a detailed discussion of each step:

[0067] Step S1: Divide the mine to be inspected after the mine restoration into a plurality of different areas to be inspected; in this embodiment, the number of areas to be inspected is set according to actual needs.

[0068] The present invention divides the mine to be inspected after mine restoration into a plurality of different areas to be inspected, and then detects the ground dust impact index and vegetation greening index in each area to be inspected one by one, and then obtains the ground dust impact index and vegetation greening index corresponding to the mine to be inspected by calculation, which can improve the accuracy of the calculation overall.

[0069] Step S2: Calculate the ground dust impact index corresponding to the mine to be detected based on the average floating dust concentration, average silica dust concentration and average falling dust concentration corresponding to each area to be detected, specifically including:

[0070] Step S21: Calculate the average concentration of floating dust corresponding to each area to be detected, specifically including:

[0071] Step S211: Detect the dust concentration in each area to be detected multiple times; in this embodiment, the mineral dust suspended in the air is also called dust, and the pneumoconiosis caused by long-term excessive inhalation of dust is called coal lung disease; the dust concentration can be detected by a suspended particulate matter (PM) monitor, a slide plate particulate matter sampler or a laser particle counter; the suspended particulate matter monitor is an instrument that can measure the concentration of particulate matter in the air in real time. This monitor uses sensor technology to determine the content of particulate matter in the air by absorbing or scattering the intensity of light. Depending on the type and function of the monitor, particles of different diameter ranges can be detected, such as PM10, PM2.5, etc. The slide plate sampler measures the concentration of particles by drawing air into a slide plate equipped with a filter membrane and collecting the particles on the filter membrane. Afterwards, the filter membrane can be sent to a laboratory for particle mass determination or further analysis; the laser particle counter is a device that can measure the number and size of particles of different particle sizes in the air. It scans and counts the particles in the air through a laser beam, and then determines the particle size range and number based on the reflected or scattered light signal of the particles.

[0072] Step S212: calculating the average floating dust concentration corresponding to each to-be-detected area based on the floating dust concentration detected multiple times in each to-be-detected area.

[0073] Step S22: Calculating the average concentration of silica dust corresponding to each area to be detected, specifically including:

[0074] Step S221: Detect the silica dust concentration in each area to be detected multiple times; in this embodiment, mineral dust with a free silica content greater than 5% is called silica dust, and pneumoconiosis caused by long-term excessive inhalation of rock dust containing crystalline traveling silica is called silicosis. The detection of silica dust concentration usually involves professional sampling devices and chemical analysis processes. The detection method here is an existing public method and will not be elaborated on here.

[0075] Step S222: calculating the average concentration of silicon dust corresponding to each area to be detected based on the silicon dust concentration detected multiple times in each area to be detected.

[0076] Step S23: Calculate the average dust concentration corresponding to each area to be detected, specifically including:

[0077] Step S231: repeatedly detect the dust concentration of each area to be detected; in this embodiment, the settled mine dust is called dust, but the dust will also form floating dust under the influence of strong wind, and long-term inhalation of dust may cause pneumoconiosis; the dust concentration can be detected by a dust tester.

[0078] Step S222: Calculate the average dust concentration corresponding to each area to be detected based on the dust concentration detected multiple times in each area to be detected.

[0079] Step S24: inputting the average floating dust concentration, the average silica dust concentration and the average falling dust concentration corresponding to each area to be detected into the dust concentration prediction model for prediction, and obtaining the ground dust concentration corresponding to each area to be detected.

[0080] In this embodiment, the dust concentration prediction model is obtained by training using the historical floating dust concentration, historical silica dust concentration and historical dust concentration corresponding to each region as input and the historical ground dust concentration as output, using a linear fitting method. Among them, the historical ground dust concentration is obtained based on the detection of the dust concentration detector, and the historical floating dust concentration, historical silica dust concentration and historical dust concentration are respectively detected by the methods in steps S21-S23, and the specific details are not repeated.

[0081] Step S25: Calculate the ground dust impact index corresponding to the mine to be detected based on the ground dust concentration corresponding to each area to be detected. The specific calculation formula is:

[0082]

[0083] Among them, θ 1 is the ground dust pollution index corresponding to the mine to be tested, R i is the dust concentration on the ground corresponding to the i-th area to be detected, is the standard value of ground dust concentration, and n is the number of areas to be detected.

[0084] Step S3: Analyze the high-altitude remote sensing images corresponding to each area to be detected to obtain vegetation greening indicators corresponding to the mine to be detected, including:

[0085] Step S31: Collect high-altitude remote sensing images from multiple angles for each area to be inspected; in order to more clearly understand the vegetation restoration status of each area to be inspected, the present invention needs to collect high-altitude remote sensing images from multiple angles. Compared with traditional single image acquisition, by capturing images at different angles, more comprehensive object information can be obtained, which helps to reveal the details and features of the object, and provide a basis for subsequently accurately determining the vegetation restoration status.

[0086] Step S32: Perform three-dimensional reconstruction and rendering analysis based on the collected multi-angle high-altitude remote sensing images corresponding to each area to be detected, and obtain the vegetation greening index corresponding to each area to be detected, which specifically includes:

[0087] Step S321: extracting features from multi-angle high-altitude remote sensing images to obtain vegetation growth features corresponding to the multi-angle high-altitude remote sensing images. Vegetation growth features include: vegetation species type, vegetation growth height, vegetation density, distribution pattern of branches, length, radius, angle and other parameters of tree trunks, etc.

[0088] In this embodiment, the vegetation growth characteristics obtained by feature extraction of multi-angle high-altitude remote sensing images can better describe the vegetation growth status; if the vegetation grows lushly, it can absorb more carbon dioxide and release more oxygen, which can enhance the ability to purify dust in the air. Therefore, it is very important to extract plant growth characteristics for the subsequent establishment of an accurate three-dimensional vegetation growth model to effectively predict the plant growth status.

[0089] Step S322: construct a three-dimensional model based on the vegetation growth features corresponding to the multi-angle high-altitude remote sensing images to obtain a three-dimensional vegetation growth model corresponding to each area to be detected.

[0090] The present invention adopts SpeedTree Modeler vegetation modeling software to construct a three-dimensional model based on vegetation growth characteristics, restore the plant restoration scene corresponding to the mine to be inspected, and further improve the accuracy of the later calculation of vegetation greening indicators.

[0091] Constructing a three-dimensional model based on the vegetation growth characteristics includes: selecting a generator: in the "Generation Editor", select a suitable generator according to the type of tree you need to create, such as "Tree Generator" as the basic generator for the whole tree, and then add "Spine Generator" to generate specific parts such as trunks and branches; adding templates: right-clicking the generator and selecting the corresponding menu option to add preset templates, such as adding a trunk template to the "Tree Generator", adding a branch template to the trunk generator, etc., to quickly build a basic tree framework; editing properties: in the "Property Editor", adjust various properties of the generator, such as modifying the length, radius, angle and other parameters of the trunk, as well as the distribution pattern and length changes of the branches, to preliminarily determine the overall shape and size of the tree.

[0092] Step S323: Rendering is performed based on the areas outside the three-dimensional vegetation growth models corresponding to the areas to be detected, so as to obtain the mine restoration models corresponding to the areas to be detected.

[0093] Since the mine to be inspected includes not only the growth of vegetation, but also many structures such as ores or mud for rendering, the present invention uses sand and stone rendering in three-dimensional software based on the areas outside the three-dimensional vegetation growth model corresponding to each area to be inspected, further restores the real mine, and obtains the mine restoration model corresponding to each area to be inspected. The three-dimensional software used in this embodiment can be 3ds Max, Maya, and C4D, etc.; for example, in Maya software, particle systems and physical simulations are used to produce sand special effects. Create a particle emitter, adjust the speed, life cycle, size, color and other properties of the particles, add a gravity field to make the sand fall naturally, add collision effects to collision bodies such as the ground, and set rendering parameters, such as particle material, shadow, etc., to obtain realistic sand dynamic effects.

[0094] Step S324: Perform vegetation greening assessment based on the three-dimensional vegetation growth model and mine restoration model corresponding to each area to be detected, and obtain vegetation greening indicators corresponding to each area to be detected. The specific steps include:

[0095] Step S3241: Calculate the vegetation greening rate corresponding to each area to be detected based on the three-dimensional vegetation growth model corresponding to each area to be detected. Because different vegetation has different heights and growth luxuriance, the corresponding vegetation greening rate is different. The present invention calculates the vegetation greening rate based on the constructed three-dimensional vegetation growth model. Compared with the traditional calculation of the vegetation greening rate based on the test index, the present invention restores the real model, thereby improving the accuracy of the vegetation greening rate calculation.

[0096] Step S3242: Calculate the vegetation greening area and the total area corresponding to each area to be detected based on the mine restoration model corresponding to each area to be detected.

[0097] The present invention calculates the vegetation greening area and the total area based on the constructed mine restoration model. Compared with the traditional method of calculating the vegetation greening area and the total area based on test indicators, the present invention restores the real model, thereby improving the accuracy of the calculation of the vegetation greening area and the total area.

[0098] Step S3243: Calculate the vegetation greening index corresponding to each to-be-detected area based on the vegetation greening rate, vegetation greening area and total area corresponding to each to-be-detected area. The specific calculation formula is:

[0099]

[0100] in, is the vegetation greening rate corresponding to the i-th area to be detected, S i is the vegetation greening area corresponding to the i-th area to be detected, S iz is the total area corresponding to the i-th area to be detected, is the vegetation greening index corresponding to the i-th area to be detected.

[0101] Step S33: The vegetation greening index corresponding to the mine to be detected is determined based on the vegetation greening index corresponding to each area to be detected. The specific calculation formula is:

[0102]

[0103] Among them, θ 2 is the vegetation greening index corresponding to the mine to be tested, is the vegetation greening index corresponding to the i-th area to be detected, and n is the number of areas to be detected.

[0104] Step S4: Calculate the groundwater pollution index corresponding to the mine to be tested, including:

[0105] Step S41: Acquire a panoramic image corresponding to the mine to be inspected. In this embodiment, if the mine to be acquired is large, multiple different images may be acquired, and then the multiple different images may be stitched and fused using image stitching technology to obtain a panoramic image corresponding to the mine to be inspected.

[0106] Step S42: Calculate the area corresponding to the mine to be detected based on the panoramic image corresponding to the mine to be detected.

[0107] Step S43: Determine the number of groundwater quality detection points based on the area corresponding to the mine to be detected.

[0108] In this embodiment, the number of groundwater quality detection points is determined based on the area corresponding to the mine to be detected. If too many groundwater quality detection points are set, the detection time will be extended, and if too few groundwater quality detection points are set, the detection accuracy will be affected. Therefore, the present invention needs to determine the number of groundwater quality detection points in advance according to the area corresponding to the mine to be detected. The condition for setting the detection points in the present invention is that if there is a river, more detection points are set, and if there is a forest, fewer detection points are set.

[0109] Step S44: Analyze the water sample at each underground water quality detection point using polarography to obtain the concentration of various harmful substances at each underground water quality detection point.

[0110] Polarography is an electrochemical analysis method that can determine the concentration of a specific substance in a water sample by measuring the change in current produced during electrolysis. This method has high sensitivity and accuracy and is suitable for trace analysis.

[0111] Step S44: Analyze the concentrations of various harmful substances at each underground water quality detection point to obtain the underground water pollution index corresponding to the mine to be detected. The specific calculation formula is:

[0112]

[0113] Among them, θ 3 is the underground water quality pollution index corresponding to the mine to be detected, ρ kj is the concentration of the j-th harmful substance at the i-th underground water quality detection point, μ j is the proportionality coefficient corresponding to the concentration of the j-th harmful substance, m is the total number of types of harmful substances, and Q is the total number of underground water quality detection points set in the mine to be detected.

[0114] Step S5: Calculate the environmental assessment index corresponding to the mine to be detected according to the above-ground dust pollution index, vegetation greening index, and underground water quality pollution index corresponding to the mine to be detected. The specific calculation formula is:

[0115]

[0116] Among them, θ 1 is the above-ground dust pollution index corresponding to the mine to be detected, θ 2 is the vegetation greening index corresponding to the mine to be detected, θ 3 is the underground water quality pollution index corresponding to the mine to be detected, and QCP is the environmental assessment index corresponding to the mine to be detected.

[0117] Step S6: Evaluate the mine ecological restoration according to the environmental assessment index corresponding to the mine to be detected, specifically including:

[0118] Set the mild pollution threshold WCP and the severe pollution threshold VCP;

[0119] When QCP < WCP, it means that the environment of the mine to be detected is qualified;

[0120] When WCP ≤ QCP < VCP, it means that the environment of the mine to be detected is mildly polluted;

[0121] When VCP ≤ QCP, it means that the environment of the mine to be detected is severely polluted.

[0122] The present invention also discloses a mine ecological restoration evaluation system, and the system includes:

[0123] A regional division module for dividing the mine to be detected after restoration into multiple different regions to be detected.

[0124] An above-ground dust impact index calculation module for calculating the above-ground dust impact index corresponding to the mine to be detected based on the average floating dust concentration, average silica dust concentration, and average settled dust concentration corresponding to each region to be detected.

[0125] A vegetation greening index calculation module for analyzing based on the high-altitude remote sensing images corresponding to each region to be detected to obtain the vegetation greening index corresponding to the mine to be detected.

[0126] The groundwater quality pollution index calculation module is used to calculate the groundwater quality pollution index corresponding to the mine to be tested.

[0127] The environmental assessment index calculation module is used to calculate the environmental assessment index corresponding to the mine to be inspected based on the ground dust pollution index, vegetation greening index and groundwater quality pollution index corresponding to the mine to be inspected.

[0128] The evaluation module is used to evaluate the ecological restoration of mines according to the environmental assessment indicators corresponding to the mines to be tested.

[0129] As an optional implementation manner, the ground dust impact index calculation module of the present invention specifically includes:

[0130] The average concentration calculation unit is used to calculate the average concentration of floating dust, the average concentration of silica dust and the average concentration of falling dust corresponding to each area to be detected.

[0131] The ground dust concentration prediction unit is used to input the average floating dust concentration, the average silica dust concentration and the average falling dust concentration corresponding to each area to be detected into the dust concentration prediction model for prediction, so as to obtain the ground dust concentration corresponding to each area to be detected.

[0132] The ground dust impact index calculation unit is used to calculate the ground dust impact index corresponding to the mine to be detected based on the ground dust concentration corresponding to each area to be detected.

[0133] As an optional implementation, the vegetation greening index calculation module of the present invention specifically includes:

[0134] The image acquisition unit is used to acquire multi-angle high-altitude remote sensing images of each area to be detected.

[0135] The three-dimensional reconstruction rendering and analysis unit is used to perform three-dimensional reconstruction rendering and analysis based on the collected multi-angle high-altitude remote sensing images corresponding to each area to be detected, so as to obtain the vegetation greening index corresponding to each area to be detected.

[0136] The vegetation greening index calculation unit is used to determine the vegetation greening index corresponding to the mine to be detected based on the vegetation greening index corresponding to each area to be detected.

[0137] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0138] The principles and implementation methods of the present invention are described in this article using specific examples. The description of the above embodiments is only used to help understand the method and core idea of ​​the present invention. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A mine ecological restoration evaluation method, characterized in that: The method comprises: Divide the mine to be inspected after the mine restoration into a plurality of different areas to be inspected; Calculate the ground dust impact index corresponding to the mine to be tested based on the average concentration of floating dust, average concentration of silica dust and average concentration of falling dust corresponding to each area to be tested; Based on the analysis of the high-altitude remote sensing images corresponding to each area to be inspected, the vegetation greening index corresponding to the mine to be inspected is obtained; Calculate the groundwater pollution index corresponding to the mine to be tested; Calculate the environmental assessment index corresponding to the mine to be tested based on the ground dust pollution index, vegetation greening index and groundwater pollution index corresponding to the mine to be tested; The ecological restoration of the mine is evaluated based on the corresponding environmental assessment indicators of the mine to be tested.

2. The mine ecological restoration evaluation method according to claim 1, characterized in that: The above-ground dust impact index corresponding to the mine to be detected is calculated based on the average floating dust concentration, the average silica dust concentration and the average falling dust concentration corresponding to each area to be detected, specifically including: Calculate the average floating dust concentration, average silica dust concentration and average falling dust concentration corresponding to each area to be detected respectively; The average floating dust concentration, the average silica dust concentration and the average falling dust concentration corresponding to each area to be detected are respectively input into the dust concentration prediction model for prediction to obtain the ground dust concentration corresponding to each area to be detected; The ground dust impact index corresponding to the mine to be inspected is calculated based on the ground dust concentration corresponding to each area to be inspected.

3. The mine ecological restoration evaluation method according to claim 1, characterized in that: The analysis based on the high-altitude remote sensing images corresponding to each area to be detected to obtain the vegetation greening index corresponding to the mine to be detected specifically includes: Collect high-altitude remote sensing images from multiple angles for each area to be inspected; Based on the collected multi-angle high-altitude remote sensing images corresponding to each area to be detected, three-dimensional reconstruction rendering analysis is performed to obtain the vegetation greening index corresponding to each area to be detected; The vegetation greening index corresponding to the mine to be inspected is determined based on the vegetation greening index corresponding to each area to be inspected.

4. The mine ecological restoration evaluation method according to claim 3, characterized in that: The three-dimensional reconstruction rendering analysis is performed based on the multi-angle high-altitude remote sensing images corresponding to each area to be detected, and the vegetation greening index corresponding to each area to be detected is obtained, which specifically includes: Extract features from multi-angle high-altitude remote sensing images to obtain vegetation growth features corresponding to the multi-angle high-altitude remote sensing images; A three-dimensional model is constructed based on the vegetation growth characteristics corresponding to the multi-angle high-altitude remote sensing images to obtain a three-dimensional vegetation growth model corresponding to each area to be detected; Rendering is performed based on the areas outside the three-dimensional vegetation growth model corresponding to each area to be detected, so as to obtain a mine restoration model corresponding to each area to be detected; Based on the three-dimensional vegetation growth model and mine restoration model corresponding to each area to be detected, vegetation greening assessment is performed to obtain the vegetation greening index corresponding to each area to be detected.

5. The mine ecological restoration evaluation method according to claim 4, characterized in that: The vegetation greening assessment is performed based on the three-dimensional vegetation growth model and the mine restoration model corresponding to each area to be detected, and the vegetation greening index corresponding to each area to be detected is obtained, which specifically includes: Calculate the vegetation greening rate corresponding to each area to be detected based on the three-dimensional vegetation growth model corresponding to each area to be detected; Calculate the vegetation greening area and total area corresponding to each area to be detected based on the mine restoration model corresponding to each area to be detected; The vegetation greening index corresponding to each area to be detected is calculated based on the vegetation greening rate, vegetation greening area and total area corresponding to each area to be detected.

6. The mine ecological restoration evaluation method according to claim 1, characterized in that: Calculating the environmental assessment index corresponding to the mine to be detected according to the above-ground dust pollution index, vegetation greening index, and underground water pollution index corresponding to the mine to be detected. The specific calculation formula is as follows: Where, θ1 is the above-ground dust pollution index corresponding to the mine to be detected, θ2 is the vegetation greening index corresponding to the mine to be detected, θ3 is the underground water pollution index corresponding to the mine to be detected, and QCP is the environmental assessment index corresponding to the mine to be detected.

7. The mine ecological restoration evaluation method according to claim 6, characterized in that: Evaluating the mine ecological restoration according to the environmental assessment index corresponding to the mine to be detected, specifically including: Setting a mild pollution threshold WCP and a severe pollution threshold VCP; When QCP < WCP, it indicates that the environment of the mine to be detected is qualified; When WCP ≤ QCP < VCP, it indicates that the environment of the mine to be detected is mildly polluted; When VCP ≤ QCP, it indicates that the environment of the mine to be detected is severely polluted.

8. A mine ecological restoration evaluation system, characterized in that: The system includes: A regional division module for dividing the mine to be detected after restoration into multiple different areas to be detected; An above-ground dust impact index calculation module for calculating the above-ground dust impact index corresponding to the mine to be detected based on the average floating dust concentration, average silica dust concentration, and average settled dust concentration corresponding to each area to be detected; A vegetation greening index calculation module for analyzing based on the high-altitude remote sensing images corresponding to each area to be detected to obtain the vegetation greening index corresponding to the mine to be detected; An underground water pollution index calculation module for calculating the underground water pollution index corresponding to the mine to be detected; An environmental assessment index calculation module for calculating the environmental assessment index corresponding to the mine to be detected according to the above-ground dust pollution index, vegetation greening index, and underground water pollution index corresponding to the mine to be detected; An evaluation module for evaluating the mine ecological restoration according to the environmental assessment index corresponding to the mine to be detected.

9. The mine ecological restoration evaluation system according to claim 8, characterized in that: The above-ground dust impact index calculation module specifically includes: An average concentration calculation unit for respectively calculating the average floating dust concentration, average silica dust concentration, and average settled dust concentration corresponding to each area to be detected; An above-ground dust concentration prediction unit for respectively inputting the average floating dust concentration, average silica dust concentration, and average settled dust concentration corresponding to each area to be detected into a dust concentration prediction model for prediction to obtain the above-ground dust concentration corresponding to each area to be detected; An above-ground dust impact index calculation unit for calculating the above-ground dust impact index corresponding to the mine to be detected based on the above-ground dust concentration corresponding to each area to be detected.

10. The mine ecological restoration evaluation system according to claim 8, characterized in that: The vegetation greening index calculation module specifically includes: An image acquisition unit for acquiring multi-angle high-altitude remote sensing images of each area to be detected; A three-dimensional reconstruction rendering analysis unit for performing three-dimensional reconstruction rendering analysis based on the acquired multi-angle high-altitude remote sensing images corresponding to each area to be detected to obtain the vegetation greening index corresponding to each area to be detected; A vegetation greening index calculation unit for determining the vegetation greening index corresponding to the mine to be detected based on the vegetation greening index corresponding to each area to be detected.

Images