Mining area vegetation coverage rate monitoring method and device, storage medium and electronic equipment

Abstract

The invention relates to a mining area vegetation coverage rate monitoring method and device, a storage medium and electronic equipment, and relates to the technical field of coal mining, and the method comprises the steps: obtaining the subsidence information and deformation information of the earth surface; obtaining the soil moisture content corresponding to the subsidence information and the deformation information based on a first action relationship, wherein the first action relationship is a relationship among deformation, subsidence and the soil moisture content; and determining a target coverage rate corresponding to the soil moisture content according to a second action relationship, wherein the second action relationship is obtained by fitting a vegetation coverage rate and the soil moisture content. Through the first action relation and the second action relation which are obtained through pre-fitting, the coverage condition of the mining area vegetation can be more accurately obtained.

Description

Technical Field

[0001] The present disclosure relates to the technical field of coal mining, and in particular to a method, device, storage medium and electronic device for monitoring vegetation coverage in a mining area. Background Art

[0002] With the development of today's society and economy and the growth of industrial demand, the mining pressure of mines has gradually increased, which has caused a serious threat to vegetation. In mining projects, vegetation is a decisive factor in the ecological reconstruction of mining areas and the improvement of ecological and environmental quality in mining areas. Vegetation can not only improve the ecological environment of mining areas, but also enhance ecological service functions and promote carbon sequestration and sink in ecosystems.

[0003] Specifically, vegetation can play an important role in ecological restoration and sustainable development in mining areas by improving soil chemical properties, enhancing soil microbial activity and regulating the abundance of carbon cycle functional genes. Therefore, how to better monitor the coverage of vegetation in mining areas is a technical problem that needs to be solved urgently. Summary of the invention

[0004] In order to overcome the problems existing in the related art, the present disclosure provides a method, device, storage medium and electronic device for monitoring vegetation coverage in a mining area.

[0005] According to a first aspect of an embodiment of the present disclosure, a method for monitoring vegetation coverage in a mining area is provided, the method comprising: Obtaining the subsidence and deformation information of the ground surface; acquiring soil water content corresponding to the subsidence information and the deformation information based on a first action relationship, wherein the first action relationship is a relationship between deformation, subsidence and the soil water content; The target coverage rate corresponding to the soil moisture content is determined according to the second functional relationship, and the second functional relationship is obtained by fitting the vegetation coverage rate and the soil moisture content.

[0006] Optionally, the method further comprises: Obtaining a plurality of historical soil moisture contents, and obtaining a historical vegetation coverage rate corresponding to each of the historical soil moisture contents; Each of the historical vegetation coverage rates is fitted with the corresponding historical soil moisture content to obtain the second interaction relationship.

[0007] Optionally, fitting each of the historical vegetation coverage rates with the corresponding historical soil moisture content to obtain the second action relationship includes: Collecting remote sensing images of the surface deformation area, and determining the trend slope of the Normalized Difference Vegetation Index (NDVI) based on the remote sensing images; Obtaining the maximum vegetation coverage rate of the surface deformation area; The second interaction relationship is obtained by fitting the maximum vegetation coverage, the trend slope, and the relationship between the historical soil moisture content and the historical vegetation coverage.

[0008] Optionally, the obtaining of multiple historical soil moisture contents includes: Acquire multiple historical sinking information and historical deformation information corresponding to each of the historical sinking information; The historical soil moisture content corresponding to each of the historical subsidence information and the historical deformation information is determined according to the first action relationship.

[0009] Optionally, the method further comprises: The relationship between each of the historical subsidence information, the historical deformation information and the corresponding historical soil moisture content is fitted to obtain the first action relationship, the historical subsidence information includes the subsidence speed of the surface, the historical deformation information includes the curvature and deformation value of the surface, and the soil moisture content in the first action relationship is comprehensively determined based on the subsidence speed, the curvature and the deformation value.

[0010] Optionally, the subsidence information includes a subsidence amount and a subsidence speed, the deformation information includes a deformation value, and acquiring the subsidence information and deformation information of the ground surface includes: Determining a subsidence coefficient of the surface, wherein the subsidence coefficient is determined based on a maximum subsidence value, an average mining height, an average inclination angle of the coal seam, and a sufficient mining degree coefficient along the dip and strike; Acquire the subsidence amount according to the subsidence coefficient, and determine the subsidence speed of the ground surface based on the subsidence amount; Obtaining a main influence radius, where the main influence radius is determined according to an average mining depth and a main influence angle of the working face; The deformation value is obtained based on the main influence radius and the sinking amount.

[0011] According to a second aspect of an embodiment of the present disclosure, a device for monitoring vegetation coverage in a mining area is provided, the device comprising: A first acquisition module is configured to acquire subsidence information and deformation information of the ground surface; A second acquisition module is configured to acquire soil water content corresponding to the subsidence information and the deformation information based on a first action relationship, wherein the first action relationship is a relationship between deformation, subsidence and the soil water content; The determination module is configured to determine the target coverage rate corresponding to the soil moisture content according to a second functional relationship, wherein the second functional relationship is obtained by fitting the vegetation coverage rate with the soil moisture content.

[0012] According to a third aspect of an embodiment of the present disclosure, a computer-readable storage medium is provided, on which computer program instructions are stored. When the program instructions are executed by a processor, the steps of the method for monitoring vegetation coverage in a mining area provided in the first aspect of the present disclosure are implemented.

[0013] According to a fourth aspect of an embodiment of the present disclosure, there is provided an electronic device, including: a memory having a computer program stored thereon; A processor is used to execute the computer program in the memory to implement the steps of the method for monitoring vegetation coverage in a mining area provided in the first aspect of the present disclosure.

[0014] According to a fifth aspect of an embodiment of the present disclosure, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the steps of the method for monitoring vegetation coverage in a mining area provided in the first aspect of the present disclosure.

[0015] The present disclosure can obtain more accurate vegetation coverage through the pre-acquired second action relationship. Specifically, the subsidence information and deformation information of the surface are obtained, and the soil moisture content corresponding to the subsidence information and deformation information is obtained based on the first action relationship, wherein the first action relationship is the relationship between deformation, subsidence and soil moisture content, and on this basis, the target coverage rate corresponding to the soil moisture content is determined according to the second action relationship, and the second action relationship is obtained by fitting the vegetation coverage rate and the soil moisture content. Based on the pre-acquired second action relationship, the changes in vegetation coverage rates in different areas of the mining area can be accurately predicted.

[0016] Other features and advantages of the present disclosure will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings are used to provide a further understanding of the present disclosure and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the present disclosure but do not constitute a limitation of the present disclosure. In the accompanying drawings: Figure 1 It is a flow chart of a method for monitoring vegetation coverage in a mining area according to an exemplary embodiment.

[0018] Figure 2 It is a flow chart of another method for monitoring vegetation coverage in a mining area according to an exemplary embodiment.

[0019] Figure 3 It is an example diagram of a process for obtaining a first action relationship and a second action relationship in another method for monitoring vegetation coverage in a mining area according to an exemplary embodiment.

[0020] Figure 4It is a block diagram of a monitoring device for vegetation coverage in a mining area according to an exemplary embodiment.

[0021] Figure 5 It is a block diagram of an electronic device according to an exemplary embodiment.

[0022] Figure 6 is a block diagram of a chip system according to an exemplary embodiment. DETAILED DESCRIPTION

[0023] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0024] In the description of the present disclosure, the terms used, such as "first", "second", etc., are used to distinguish similar objects and are not necessarily understood as a specific order or sequence. In addition, in the description with reference to the accompanying drawings, the same symbols in different drawings represent the same elements unless otherwise stated.

[0025] Although operations or steps are described in a specific order in the drawings in the embodiments of the present disclosure, it should not be understood that it is required to perform these operations or steps in the specific order shown or in a serial order, or to perform all the operations or steps shown to obtain the desired results. In the embodiments of the present disclosure, these operations or steps can be performed in series; these operations or steps can also be performed in parallel; or some of these operations or steps can be performed.

[0026] With the development and application of remote sensing technology, wireless sensor technology, big data and artificial intelligence, the efficiency of vegetation monitoring has been greatly improved, but vegetation restoration is difficult and inefficient. Among the related technologies, mining area vegetation monitoring mainly relies on manual observation and simple instrument measurement, so there are limitations such as low data accuracy, poor real-time performance, high labor intensity, limited monitoring range and incomplete monitoring information. These limitations indicate that modern mining area vegetation monitoring cannot fully meet the needs of vegetation monitoring.

[0027] In order to solve the above problems, the embodiment of the present disclosure proposes a method for monitoring the vegetation coverage rate in a mining area. The method obtains a vegetation response prediction model (second action relationship) and uses the vegetation response prediction model to perform real-time monitoring, data processing and analysis of the vegetation. It can realize the prediction and evaluation of the vegetation status in the mining area, so as to improve the scientificity and effectiveness of vegetation protection in the mining area. The vegetation response prediction model can be a coal mining vegetation response prediction model that combines theory and remote sensing monitoring.

[0028] Figure 1 is a flow chart of a method for monitoring vegetation coverage in a mining area according to an exemplary embodiment. Figure 1 As shown, the method may include the following steps.

[0029] In step S110, subsidence information and deformation information of the ground surface are obtained.

[0030] In some embodiments, the surface subsidence information may be a surface subsidence parameter, which may include a surface subsidence amount and a surface subsidence speed, wherein the surface subsidence amount may be obtained based on a surface subsidence coefficient, wherein the calculation formula of the surface subsidence coefficient may be: ; Where q is the surface subsidence coefficient, W m is the maximum subsidence value, the unit is mm; m is the average mining height; is the average inclination of the coal seam; n1 is the coefficient of full mining degree along the dip, and n2 is the coefficient of full mining degree along the strike. For example, full mining is 1 and inadequate mining is 0.95.

[0031] As an optional method, after obtaining the surface subsidence coefficient, the embodiment of the present disclosure can obtain the surface subsidence amount based on the surface subsidence coefficient. The calculation formula of the surface subsidence amount is as follows: ; Where, q is the surface subsidence coefficient; m is the average mining height; is the average inclination of the coal seam; n1 is the full mining degree coefficient along the dip, n2 is the full mining degree coefficient along the strike; ε1 is the first correction coefficient obtained through actual measurement.

[0032] After obtaining the amount of ground subsidence, the embodiment of the present disclosure can obtain the ground subsidence velocity based on the ground subsidence. Before that, the ground subsidence velocity coefficient can be determined according to the maximum subsidence value. On this basis, the ground subsidence velocity coefficient and the ground subsidence amount are combined to calculate the subsidence velocity. The calculation formula of the ground subsidence velocity coefficient is as follows: ; Where K is the sinking velocity coefficient; c is the working face advancement velocity, in m / d; H0 is the average mining depth of the working face, in m; W m is the maximum surface subsidence value, in mm; V m It is the maximum velocity of surface subsidence, and its unit is mm / d.

[0033] After the sinking velocity coefficient is calculated, the embodiment of the present disclosure can obtain the sinking velocity calculation formula shown below through field monitoring of the mining area: ; Among them, V is the sinking velocity of the surface; K is the sinking velocity coefficient; c is the advancing speed of the working face; H0 is the average mining depth of the working face; W is the surface sinking value (sinking amount); ε2 is the second correction parameter obtained through actual measurement.

[0034] Combining the above-mentioned calculation formula of surface subsidence and the calculation formula of subsidence velocity, the final formula of subsidence velocity can be obtained, which is: ; The amount of ground subsidence will directly affect the soil quality of the mining area, so the ground subsidence rate can be an important parameter for obtaining the target coverage rate. In other words, the embodiment of the present disclosure can obtain the water content of the soil based on the ground subsidence rate and the deformation value of the ground surface.

[0035] Since the scope of surface deformation caused by mining is uncertain, the parameters affecting the scope of surface deformation are substituted into the existing formula according to the actual data obtained from monitoring, and the calculation formula of the scope of surface deformation can be obtained, so that the scope of surface deformation can be effectively predicted.

[0036] In other embodiments, deformation information may be used to characterize the deformation range of the ground surface. The deformation information may include the curvature of the ground surface and the ground surface deformation value. Here, the curvature of the ground surface may be calculated based on the inclination of the ground surface. The inclination may be calculated and obtained by the following formula: ; in, is the slope, x refers to the distance from the center of surface deformation, W m is the maximum surface subsidence value; r is the main impact radius, and the main impact radius r can be calculated according to the following formula: ; Among them, H0 is the average mining depth of the working face, and β is the main influencing angle.

[0037] On this basis, the embodiment of the present disclosure can perform a curvature calculation operation based on the main influence radius r, and the calculation formula of the curvature is as follows: ; The parameters involved in calculating the curvature are similar to the parameters involved in calculating the inclination, and will not be described in detail here.

[0038] Alternatively, the ground deformation value can be calculated according to the following formula: ; Among them, λ is the correction coefficient, W is the subsidence value, r is the main impact radius, and B is the surface horizontal movement coefficient. The surface horizontal movement coefficient B can be calculated according to the following formula: ; Among them, U m is the maximum value of horizontal surface movement obtained through monitoring, W m is the maximum surface subsidence value.

[0039] After obtaining the surface horizontal movement coefficient, the embodiment of the present disclosure can calculate and obtain the surface deformation value based on the horizontal movement coefficient.

[0040] Optionally, the embodiment of the present disclosure may also combine the horizontal movement coefficient B with the actual monitoring result and add a correction coefficient , and get the horizontal displacement value U of the surface, where It can be a correction factor obtained through actual measurement. The specific formula is as follows: ; In summary, in the process of obtaining the subsidence information and deformation information of the ground surface, the embodiment of the present disclosure can first determine the subsidence coefficient of the ground surface, which can be comprehensively determined based on the maximum subsidence value of the ground surface, the average mining height, the average inclination of the coal seam, and the full mining degree coefficient along the dip and the full mining degree coefficient along the strike. Then, the subsidence amount of the ground surface can be obtained according to the subsidence coefficient.

[0041] In addition, the embodiment of the present disclosure can obtain the main influence radius, which can be determined according to the average mining depth and the main influence angle of the working face. On this basis, the deformation value of the surface can be obtained based on the main influence radius and the subsidence amount.

[0042] In step S120, the soil water content corresponding to the subsidence information and the deformation information is obtained based on the first action relationship, where the first action relationship is the relationship between deformation, subsidence and soil water content.

[0043] As an optional method, after obtaining the subsidence information and deformation information of the ground surface, the embodiment of the present disclosure can obtain the soil moisture content corresponding to the subsidence information and deformation information based on the first action relationship.

[0044] Among them, the first action relationship can be the relationship between deformation, subsidence and soil moisture content. Here, deformation can be deformation information, and subsidence can be sinking information. That is, the embodiment of the present disclosure can input deformation information and sinking information into the first action relationship to output soil moisture content corresponding to the sinking information and deformation information through the first action relationship.

[0045] Specifically, the disclosed embodiment can perform real-time sampling through remote sensing technology and arrangement of monitoring points to monitor and analyze the soil moisture content within the deformation range. The first action relationship can be the response relationship of the change in soil moisture content to the surface deformation and subsidence, which can be the interaction relationship between multiple independent variables and dependent variables.

[0046] That is to say, the water content of soil can be affected by multiple factors such as surface subsidence, inclination, and horizontal deformation. In this regard, the embodiment of the present disclosure can combine surface subsidence, inclination, and horizontal deformation to establish a multiple linear regression model, which can be a first action relationship, whose input parameters can be subsidence information, deformation information, etc., and the output parameter can be the water content of soil.

[0047] The optimal solution can be obtained through numerical simulation and calculation of actual monitoring results. The first action relationship is tested for significance and shows that the fitting effect is good. The moisture content of the soil and the surface subsidence, inclination and horizontal deformation satisfy the ternary quadratic function relationship.

[0048] In step S130, the target coverage rate corresponding to the soil moisture content is determined according to the second action relationship, and the second action relationship is obtained by fitting the vegetation coverage rate and the soil moisture content.

[0049] As an optional method, after obtaining the soil moisture content, the embodiment of the present disclosure can determine the target coverage rate corresponding to the soil moisture content according to the second action relationship, wherein the second action relationship can be obtained by fitting the vegetation coverage rate with the soil moisture content. Here, the target coverage rate can be the vegetation coverage rate of the mining area predicted by the second action relationship.

[0050] By using the D-InSAR interferometric radar method and remote sensing testing technology, the disclosed embodiment can monitor the ground subsidence and ground movement, and obtain the ground deformation status of the mining area through the fusion of the two types of data to analyze the ground deformation law. On this basis, an observation line is set along the direction and inclination of the mining area, and observation stations are arranged on the observation line according to the actual situation. In the process of arranging the observation stations, the changes in geological characteristics can be fully considered so as to better monitor the overall status of rock stratum movement.

[0051] The embodiment of the present disclosure can obtain more accurate vegetation coverage through the pre-acquired second action relationship. Specifically, the subsidence information and deformation information of the surface are obtained, and the soil moisture content corresponding to the subsidence information and deformation information is obtained based on the first action relationship, wherein the first action relationship is the relationship between deformation, subsidence and soil moisture content, and on this basis, the target coverage rate corresponding to the soil moisture content is determined according to the second action relationship, and the second action relationship is obtained by fitting the vegetation coverage rate and the soil moisture content. Based on the pre-acquired second action relationship, the changes in vegetation coverage rates in different areas of the mining area can be accurately predicted.

[0052] Figure 2 is a flow chart of another method for monitoring vegetation coverage in a mining area according to an exemplary embodiment. Figure 2 As shown, the method may include the following steps.

[0053] In step S210, a plurality of historical soil moisture contents are obtained, and a historical vegetation coverage rate corresponding to each historical soil moisture content is obtained.

[0054] From the above introduction, it can be known that the second action relationship can be a coal mining vegetation response prediction model. In order to obtain the coal mining vegetation response prediction model, the embodiment of the present disclosure can first obtain multiple historical soil moisture contents, and obtain the historical vegetation coverage rate corresponding to each historical soil moisture content.

[0055] Here, the historical soil moisture content may be obtained through actual measurement, or after the historical subsidence information and the historical deformation information are obtained, the historical subsidence information and the historical deformation information are input into the first action relationship to obtain the historical soil moisture content through the first action relationship.

[0056] That is to say, in the process of obtaining multiple historical soil moisture contents, the disclosed embodiment can obtain multiple historical subsidence information and historical deformation information corresponding to each historical subsidence information. On this basis, the historical soil moisture content corresponding to each historical subsidence information and historical deformation information is determined according to the first action relationship.

[0057] Prior to this, the disclosed embodiment may fit the relationship between each historical subsidence information, historical deformation information and the corresponding historical soil moisture content to obtain a first action relationship. The historical subsidence information may include the subsidence speed of the ground surface, and the historical deformation information may include the curvature and deformation value of the ground surface. The soil moisture content in the first action relationship may be determined based on the subsidence speed, curvature and deformation value of the ground surface.

[0058] Here, the first action relationship can be shown as follows: ; Wherein, Y is the soil moisture content; a, b, c, ... j are constants and coefficients of their respective variables; V is the sinking speed of the ground surface; K (x) is the curvature of the ground surface; δ is the deformation value of the ground surface. It can be seen that the embodiment of the present disclosure can obtain the coefficients (a, b, c, ... j) in the above formula by fitting the sinking speed, curvature, deformation value of the ground surface with the soil moisture content, and thus can obtain the first action relationship.

[0059] That is to say, by combining the surface subsidence, inclination and horizontal deformation, a multivariate linear regression model can be established according to the above formula, and the multivariate linear regression model can be used as the first action relationship.

[0060] In addition, the historical vegetation coverage rate may be a coverage rate obtained through actual measurement. Here, the historical soil moisture content and the historical vegetation coverage rate are mainly used to obtain the second action relationship.

[0061] In step S220, each historical vegetation coverage rate is fitted with the corresponding historical soil moisture content to obtain a second interaction relationship.

[0062] As an optional method, the disclosed embodiment can use remote sensing technology and Landsat OLI images to monitor and analyze vegetation in the surface deformation area. By monitoring the changes in the vegetation index and combining it with the water content of the soil, the changing trends of vegetation with the three factors of surface subsidence, tilt and horizontal deformation can be observed.

[0063] Specifically, the disclosed embodiment can collect remote sensing images of the surface deformation area, and determine the trend slope of the normalized difference vegetation index NDVI based on the remote sensing image. In addition, the maximum vegetation coverage rate of the surface deformation area is obtained, and on this basis, the relationship between the maximum vegetation coverage rate, the trend slope, and the historical soil moisture content and the historical vegetation coverage rate is fitted to obtain the second action relationship.

[0064] The second role relationship can be shown as follows: ; in, is the maximum vegetation coverage; Y is the current soil moisture content; Y0 is the midpoint of the soil moisture content, which can also be called a turning point or a semi-saturation point. Y0 can be obtained through actual measurement or simulation, that is, the embodiment of the present disclosure can obtain Y0 through fitting; S is the trend slope of NDVI (Normalized Difference Vegetation Index). It can be seen that the second action relationship can be obtained by fitting the hyperbolic tangent function.

[0065] The above maximum vegetation coverage It can be obtained by comparing multiple vegetation coverages, and the vegetation coverage can be calculated by the following formula: ; Among them, X i is the NDVI value of the corresponding pixel; X is is the NDVI value of non-vegetated pixels; X iv is the NDVI value of the pure vegetation pixel, i is the time, such as i can be years.

[0066] The trend slope S of the above NDVI can be obtained based on the following formula: ; Among them, X im is the maximum NDVI value in the corresponding pixel, and i is the time.

[0067] By obtaining the second action relationship, the disclosed embodiment can accurately predict the changes in vegetation coverage in different areas of the mining area, especially in areas with significant surface subsidence, tilt and deformation. By quantifying the impact of soil moisture on vegetation growth, the disclosed embodiment can accurately evaluate the potential and speed of vegetation recovery, providing a scientific basis for ecological restoration in mining areas.

[0068] In addition, by using advanced remote sensing technology and ground monitoring networks, the embodiments of the present disclosure can monitor environmental changes in mining areas in real time and promptly warn of the risk of decreased vegetation coverage, which is of great significance for preventing environmental deterioration in mining areas and guiding vegetation restoration projects.

[0069] In step S230, subsidence information and deformation information of the ground surface are obtained.

[0070] In step S240, the soil water content corresponding to the subsidence information and the deformation information is obtained based on the first action relationship, where the first action relationship is the relationship between deformation, subsidence and soil water content.

[0071] In step S250, the target coverage rate corresponding to the soil moisture content is determined according to the second action relationship, and the second action relationship is obtained by fitting the vegetation coverage rate and the soil moisture content.

[0072] The specific implementation of steps S230 to S250 has been described in detail in the above embodiment, and will not be repeated here.

[0073] After obtaining the first interaction relationship and the second interaction relationship, the disclosed embodiment can determine the vegetation coverage rate based on the currently obtained sinking information and deformation information. Specifically, the disclosed embodiment can first obtain the sinking speed, deformation value and curvature of the surface, and then input these three parameters into the pre-fitted first interaction relationship to obtain the water content of the soil. On this basis, the obtained soil water content, NDVI trend slope and maximum vegetation coverage rate are input into the second interaction relationship to obtain the vegetation coverage of the mining area at the current moment.

[0074] In addition, based on a deep understanding of the relationship between vegetation coverage and environmental factors, the embodiment of the present disclosure can provide customized strategy recommendations for vegetation restoration through the second action relationship.

[0075] It should be noted that after obtaining the target coverage corresponding to the soil moisture content using the second action relationship, the embodiment of the present disclosure can also obtain the coefficient of variation of the vegetation. The formula of the coefficient of variation is as follows: ; Among them, C is the coefficient of variation; n is the change time; Y is the average soil moisture content; X i is the NDVI value of the corresponding pixel; i is the soil moisture content of the corresponding pixel. The coefficient of variation C can be used to characterize the stability of vegetation changes. The larger the coefficient of variation, the weaker the vegetation stability, that is, the greater the change in vegetation coverage.

[0076] The disclosed embodiments can provide more accurate customized strategies and suggestions for vegetation restoration by combining the coefficient of variation and the target coverage rate. For example, the larger the coefficient of variation is and the vegetation coverage rate is greater than the first preset value, the better the vegetation growth in the mining area. On the contrary, if the coefficient of variation is small and the vegetation coverage rate is less than the second preset value, the vegetation growth in the mining area is poor, and manual intervention is required to assist vegetation growth.

[0077] In summary, the disclosed embodiment can determine the period and monitoring points of rock strata movement measurement according to the mining parameters of the working face in the mining project, as well as collect specific data related to rock strata movement, and monitor the surface deformation parameters and the surface subsidence within a certain range. On this basis, the working face parameters, surface deformation parameters and subsidence are fitted through relevant formulas to obtain the calculation formula of the surface deformation range and subsidence. Since the vegetation coverage rate is usually highly correlated with the water content of the soil, the disclosed embodiment can establish a calculation formula for the soil water content in the mining area under the common changes of surface deformation and subsidence through multi-factor regression analysis of soil water content and surface deformation. Finally, the changes in vegetation coverage rate monitored by remote sensing are combined with the soil water content in the mining area to obtain a prediction model for the vegetation coverage rate in the mining area. Based on this model, the lack of quantitative monitoring and prediction in the field of ecological monitoring in mining areas can be filled to a certain extent.

[0078] As a specific implementation method, Figure 3 The embodiment of the present disclosure shown can determine the monitoring range according to the working face parameters, obtain the actual values ​​of the surface deformation range and the amount of settlement, and according to the existing formula combined with the actual monitoring parameters, can obtain the calculation formula of the surface deformation parameters. In addition, the embodiment of the present disclosure can monitor the soil moisture content according to a certain period and range, and fit this data with the surface deformation parameters to obtain the calculation formula of the soil moisture content (first action relationship). On this basis, the soil vegetation coverage rate is monitored, and according to the change of vegetation coverage rate with soil moisture content, fitting is performed to obtain the vegetation coverage rate prediction model of the mining area (second action relationship), and then the prediction model can be used to quickly and accurately predict the vegetation coverage rate of the mining area.

[0079] The embodiment of the present disclosure can obtain more accurate vegetation coverage through the pre-acquired second action relationship. Specifically, the subsidence information and deformation information of the surface are obtained, and the soil moisture content corresponding to the subsidence information and deformation information is obtained based on the first action relationship, wherein the first action relationship is the relationship between deformation, subsidence and soil moisture content, and on this basis, the target coverage rate corresponding to the soil moisture content is determined according to the second action relationship, and the second action relationship is obtained by fitting the vegetation coverage rate and the soil moisture content. Based on the pre-acquired second action relationship, the changes in vegetation coverage rates in different areas of the mining area can be accurately predicted.

[0080] Figure 4 1 is a block diagram of a monitoring device for vegetation coverage in a mining area according to an exemplary embodiment. Figure 4 The mining area vegetation coverage monitoring device 300 includes a first acquisition module 310, a second acquisition module 320 and a determination module 330.

[0081] The first acquisition module 310 is configured to acquire subsidence information and deformation information of the ground surface; The second acquisition module 320 is configured to acquire the soil water content corresponding to the subsidence information and the deformation information based on a first action relationship, wherein the first action relationship is a relationship between deformation, subsidence and the soil water content; The determination module 330 is configured to determine the target coverage rate corresponding to the soil moisture content according to a second functional relationship, where the second functional relationship is obtained by fitting the vegetation coverage rate with the soil moisture content.

[0082] In some embodiments, the mining area vegetation coverage monitoring device 300 may further include: A historical information acquisition module is configured to acquire a plurality of historical soil moisture contents and acquire a historical vegetation coverage rate corresponding to each of the historical soil moisture contents; The second action relationship fitting module is configured to fit each of the historical vegetation coverage rates with the corresponding historical soil moisture content to obtain the second action relationship.

[0083] In some embodiments, the second action relationship fitting module may include: A collection submodule is configured to collect remote sensing images of the surface deformation area and determine the trend slope of the normalized difference vegetation index NDVI based on the remote sensing images; A coverage acquisition submodule is configured to acquire the maximum vegetation coverage of the surface deformation area; The fitting submodule is configured to fit the maximum vegetation coverage, the trend slope, and the relationship between the historical soil moisture content and the historical vegetation coverage to obtain the second action relationship.

[0084] In some implementations, the historical information acquisition module may include: A deformation information acquisition submodule is configured to acquire a plurality of historical sinking information and historical deformation information corresponding to each of the historical sinking information; The moisture content determination submodule is configured to determine the historical soil moisture content corresponding to each of the historical subsidence information and the historical deformation information according to the first action relationship.

[0085] In some embodiments, the mining area vegetation coverage monitoring device 300 may further include: The first action relationship fitting module is configured to fit the relationship between each of the historical subsidence information, the historical deformation information and the corresponding historical soil moisture content to obtain the first action relationship, the historical subsidence information includes the subsidence speed of the surface, the historical deformation information includes the curvature and deformation value of the surface, and the soil moisture content in the first action relationship is comprehensively determined based on the subsidence speed, the curvature and the deformation value.

[0086] In some implementations, the subsidence information includes a subsidence amount and a subsidence speed, the deformation information includes a deformation value, and the acquisition of the subsidence information and deformation information of the surface, the first acquisition module 310 may include: A subsidence coefficient determination submodule is configured to determine the subsidence coefficient of the ground surface, wherein the subsidence coefficient is determined based on a maximum subsidence value, an average mining height, an average inclination angle of the coal seam, and a sufficient mining degree coefficient along a dip and a strike; a subsidence information acquisition submodule, configured to acquire the subsidence amount according to the subsidence coefficient, and determine the subsidence speed of the ground surface based on the subsidence amount; A radius acquisition submodule is configured to acquire a main influence radius, where the main influence radius is determined according to an average mining depth and a main influence angle of the working face; The deformation value acquisition submodule is configured to acquire the deformation value based on the main influence radius and the sinking amount.

[0087] The embodiment of the present disclosure can obtain more accurate vegetation coverage through the pre-acquired second action relationship. Specifically, the subsidence information and deformation information of the surface are obtained, and the soil moisture content corresponding to the subsidence information and deformation information is obtained based on the first action relationship, wherein the first action relationship is the relationship between deformation, subsidence and soil moisture content, and on this basis, the target coverage rate corresponding to the soil moisture content is determined according to the second action relationship, and the second action relationship is obtained by fitting the vegetation coverage rate and the soil moisture content. Based on the pre-acquired second action relationship, the changes in vegetation coverage rates in different areas of the mining area can be accurately predicted.

[0088] Regarding the device for monitoring vegetation coverage in a mining area in the above-mentioned embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method for monitoring vegetation coverage in a mining area, and will not be elaborated on here.

[0089] Figure 5 FIG. 7 is a block diagram of an electronic device 700 according to an exemplary embodiment. Figure 5 As shown, the electronic device 700 may include: a first processor 701 , a memory 702 . The electronic device 700 may also include one or more of a multimedia component 703 , an input / output (I / O) interface 704 , and a communication component 705 .

[0090] The first processor 701 is used to control the overall operation of the electronic device 700 to complete all or part of the steps in the above-mentioned mining area vegetation coverage monitoring 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, for example, 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, magnetic 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 first processor 701 and other interface modules, and the 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.

[0091] 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 method for monitoring vegetation coverage in mining areas.

[0092] 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 method for monitoring the vegetation coverage rate of a mining area are implemented. For example, the computer-readable storage medium may be the above-mentioned memory 702 including program instructions, and the above-mentioned program instructions may be executed by the first processor 701 of the electronic device 700 to complete the above-mentioned method for monitoring the vegetation coverage rate of a mining area.

[0093] 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 mining area vegetation coverage monitoring method when executed by the programmable device.

[0094] Some embodiments of the present disclosure also provide a chip system, such as Figure 6 As shown, the chip system includes at least one second processor 1301 and at least one interface circuit 1302. The second processor 1301 and the interface circuit 1302 can be interconnected via lines. For example, the interface circuit 1302 can be used to receive signals from other devices (such as the memory of an electronic device). For another example, the interface circuit 1302 can be used to send signals to other devices (such as the second processor 1301). Exemplarily, the interface circuit 1302 can read the instructions stored in the memory and send the instructions to the second processor 1301. When the instructions are executed by the second processor 1301, the monitoring device for the vegetation coverage rate in the mining area can execute the various steps in the above embodiments. Of course, the chip system can also include other discrete devices, and some embodiments of the present disclosure are not specifically limited to this.

[0095] In some embodiments of the present disclosure, the interface circuit 1302 can obtain data, program instructions and / or information from the internal storage area of ​​the chip system; it can also obtain data, program instructions and / or information from outside the chip system.

[0096] Optionally, the chip system may also include a memory for storing necessary computer programs and data.

[0097] Those skilled in the art may also understand that the various illustrative logical blocks and steps listed in the embodiments of the present application may be implemented by electronic hardware, computer software, or a combination of the two. Whether such functions are implemented by hardware or software depends on the specific application and the design requirements of the entire system. Those skilled in the art may use various methods to implement the functions described for each specific application, but such implementation should not be understood as exceeding the scope of protection of the embodiments of the present application.

[0098] In addition, the word "exemplary" is used herein to indicate serving as an example, instance, or diagram. Any aspect or design described as "exemplary" in this article is not necessarily understood to be advantageous compared to other aspects or designs. On the contrary, the use of the word exemplary is intended to present concepts in a specific way. As used herein, the term "or" is intended to represent an inclusive "or" rather than an exclusive "or". That is, unless otherwise specified or clear from the context, "X applies A or B" is intended to represent any one of the natural inclusive arrangements. That is, if X applies A; X applies B; or X applies both A and B, "X applies A or B" is satisfied under any of the aforementioned examples. In addition, unless otherwise specified or clearly pointed to a singular form from the context, the articles "one" and "an" as used in this application and the appended claims are generally understood to mean "one or more".

[0099] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. This application is intended to cover any modification, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present disclosure are indicated by the appended claims.

[0100] It should be understood that, unless otherwise specifically noted, the features of some embodiments of the various present disclosures described herein may be combined with each other. As used herein, the term "and / or" includes any one of the related listed items and any combination of any two or more; similarly, "at least one of . . . " includes any one of the related listed items and any combination of any two or more.

[0101] Although terms such as "first", "second" and "third" can be used herein to describe various components, parts, regions, layers or sections, these components, parts, regions, layers or sections are not limited to these terms. On the contrary, these terms are only used to distinguish one component, component, region, layer or section from another component, component, region, layer or section. Therefore, without departing from the teachings of each example, the first component, component, region, layer or section mentioned in the examples described herein may also be referred to as the second component, component, region, layer or section. In addition, the terms "first" and "second" are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Thus, the features defined as "first" and "second" may expressly or implicitly include at least one of the features. In the description herein, the meaning of "multiple" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0102] 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.

[0103] 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.

[0104] 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.

Claims

1. A method for monitoring vegetation coverage in a mining area, characterized in that: The method comprises: Obtaining the subsidence and deformation information of the ground surface; acquiring soil water content corresponding to the subsidence information and the deformation information based on a first action relationship, wherein the first action relationship is a relationship between deformation, subsidence and the soil water content; The target coverage rate corresponding to the soil moisture content is determined according to the second functional relationship, and the second functional relationship is obtained by fitting the vegetation coverage rate and the soil moisture content.

2. The method for monitoring vegetation coverage in mining areas according to claim 1, characterized in that: The method further comprises: Obtaining a plurality of historical soil moisture contents, and obtaining a historical vegetation coverage rate corresponding to each of the historical soil moisture contents; Each of the historical vegetation coverage rates is fitted with the corresponding historical soil moisture content to obtain the second interaction relationship.

3. The method for monitoring vegetation coverage in mining areas according to claim 2, characterized in that: The step of fitting each of the historical vegetation coverage rates with the corresponding historical soil moisture content to obtain the second interaction relationship includes: Collecting remote sensing images of the surface deformation area, and determining the trend slope of the Normalized Difference Vegetation Index (NDVI) based on the remote sensing images; Obtaining the maximum vegetation coverage rate of the surface deformation area; The second interaction relationship is obtained by fitting the maximum vegetation coverage, the trend slope, and the relationship between the historical soil moisture content and the historical vegetation coverage.

4. The method for monitoring vegetation coverage in mining areas according to claim 2, characterized in that: The obtaining of multiple historical soil moisture contents includes: Acquire multiple historical sinking information and historical deformation information corresponding to each of the historical sinking information; The historical soil moisture content corresponding to each of the historical subsidence information and the historical deformation information is determined according to the first action relationship.

5. The method for monitoring vegetation coverage in mining areas according to claim 4, characterized in that: The method further comprises: The relationship between each of the historical subsidence information, the historical deformation information and the corresponding historical soil moisture content is fitted to obtain the first action relationship, the historical subsidence information includes the subsidence speed of the surface, the historical deformation information includes the curvature and deformation value of the surface, and the soil moisture content in the first action relationship is comprehensively determined based on the subsidence speed, the curvature and the deformation value.

6. The method for monitoring vegetation coverage in mining areas according to claim 1, characterized in that: The subsidence information includes a subsidence amount and a subsidence speed, the deformation information includes a deformation value, and the acquisition of the subsidence information and deformation information of the ground surface includes: Determining a subsidence coefficient of the surface, wherein the subsidence coefficient is determined based on a maximum subsidence value, an average mining height, an average inclination angle of the coal seam, and a sufficient mining degree coefficient along the dip and strike; Acquire the subsidence amount according to the subsidence coefficient, and determine the subsidence speed of the ground surface based on the subsidence amount; Obtaining a main influence radius, where the main influence radius is determined according to an average mining depth and a main influence angle of the working face; The deformation value is obtained based on the main influence radius and the sinking amount.

7. A monitoring device for vegetation coverage in a mining area, characterized in that: The device comprises: A first acquisition module is configured to acquire subsidence information and deformation information of the ground surface; A second acquisition module is configured to acquire soil water content corresponding to the subsidence information and the deformation information based on a first action relationship, wherein the first action relationship is a relationship between deformation, subsidence and the soil water content; The determination module is configured to determine the target coverage rate corresponding to the soil moisture content according to a second functional relationship, wherein the second functional relationship is obtained by fitting the vegetation coverage rate with the soil moisture content.

8. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

9. An electronic device, characterized in that: include: a memory having a computer program stored thereon; A processor, configured to execute the computer program in the memory to implement the steps of the method according to any one of claims 1 to 6.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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